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Yong Chan Lee |
Professor of Medicine Director, Gastrointestinal Research Laboratory Veterans Affairs Medical Center, Univ. California San Francisco San Francisco, USA |
Jong Pil Im | Seoul National University College of Medicine, Seoul, Korea |
Robert S. Bresalier | University of Texas M. D. Anderson Cancer Center, Houston, USA |
Steven H. Itzkowitz | Mount Sinai Medical Center, NY, USA |
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Chang-Sup Lim1 , Kyongok Im2,3
, Dong Soon Lee2,3
, Wooil Kwon3,4
, Jae Ri Kim3,4
, Youngmin Han3,4
, Sun-Whe Kim3,4
, Jin-Young Jang3,4
Correspondence to: Jin-Young Jang
Department of Surgery, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea
Tel: +82-2-2072-2194, Fax: +82-2-741-2194, E-mail: jangjy4@snu.ac.kr
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Gut Liver 2020;14(4):509-520. https://doi.org/10.5009/gnl19087
Published online September 20, 2019, Published date July 15, 2020
Copyright © Gut and Liver.
Background/Aims: We investigated chromosomal aberrations in patients with pancreatic ductal adenocarcinoma (PDAC) and intraductal papillary mucinous neoplasm (IPMN) by fluorescence in situ hybridization (FISH) to identify cytogenetic changes and molecular markers that may be useful for preoperative diagnosis. Methods: Tissue samples from 48 PDAC and 17 IPMN patients were investigated by FISH analysis using probes targeting chromosomes 7q, 17p, 18q, 20q, and 21q and the pericentromeric region of chromosome 18 (CEP18). Results: The PDAC samples harbored 17p deletion (95.8%), 18q deletion (83.3%), CEP18 deletion (81.2%), 20q gain (81.2%), 21q deletion (77.1%), and 7q gain (70.8%). The IPMN samples had 17p deletion (94.1%), CEP18 deletion (94.1%), 21q deletion (70.6%), 18q deletion (58.8%), 20q gain (58.8%), and 7q gain (58.8%). A significant difference in CEP18 gain was identified between the PDAC and IPMN groups (p=0.029). Detection of 17p or 18q deletion had the highest diagnostic accuracy (80.0%) for PDAC. Conclusions: Chromosomal alterations were frequently identified in both PDAC and IPMN with similar patterns. CEP18 gain and 17p and 18q deletions might be involved in the later stages of PDAC tumorigenesis. Chromosome 17p and 18q deletions might be excellent diagnostic markers.
Keywords: Carcinoma, pancreatic ductal, Pancreatic intraductal neoplasms, In situ hybridization, fluorescence, Chromosomal aberrations
Pancreatic ductal adenocarcinoma (PDAC) is the fourth leading cause of cancer death, and is projected to become the second leading cause of cancer-related death in the United States by 2030.1 Surgical resection remains the only curative treatment modality; however, most patients are ineligible for surgery because of advanced disease at diagnosis.2
To develop effective methods for early stage diagnosis of this deadly disease which could improve its outcomes, it is important to identify the fundamental genetic changes involved in PDAC carcinogenesis. Activation of the
It is also important for clinicians to discriminate PDAC from other benign pancreatic diseases to facilitate establishment of appropriate therapeutic plans. Endoscopic ultrasound (EUS)-guided fine-needle aspiration or cytologic brushing is the current standard method for tissue acquisition and pathologic diagnosis of pancreatic lesions. However, histopathologic diagnosis is often difficult and diagnostic sensitivity is consequently unsatisfactory.14-16 Fluorescence
Most of the previous studies concerning the chromosomal alteration of PDAC and IPMN has been conducted in Western countries, and there has been only a few reports from Asian countries.11,12,20,21 In addition, previous studies did not show consistent chromosomal alteration, which might imply that there could be many genetic variations in the genesis and progression of PDAC and IPMN. We assume that the differences of chromosomal alteration between PDAC and IPMN might provide valuable information about carcinogenesis because IPMN is a well-known premalignant disease. The commonality of genetic alteration between the two diseases might be presumed to occur in the earlier stages of carcinogenesis, and the differences might be occur in the later steps. Besides, these differences might be also helpful in the preoperative diagnosis of PDAC. In this study, we investigated the chromosomal aberrations in PDAC and IPMN patient samples by FISH analysis using probes targeting chromosomes reported as frequently altered in PDAC, to identify the patterns and differences of chromosomal alteration in Korean PDAC and IPMN patients, and to investigate the optimal probe sets that may aid preoperative diagnosis of PDAC.
Prospectively collected tumor tissue samples from patients who underwent pancreatic resection at the Seoul National University Hospital (Seoul, Korea) from April 2015 to July 2016 were investigated. The patients had PDAC (n=48) or IPMN (n=17). Among those with IPMN, two, four, and five patients had mild, moderate, and severe dysplasia, respectively, while six had invasive IPMN. Invasive IPMN was defined when there as the presence of an invasive carcinoma derived from (arising in the area of) IPMN pathologically.22 All 65 patients were scheduled for surgery with a suspicion of malignancy in radiological evaluations. Preoperative histologic diagnoses using EUS-guided fine-needle aspiration were performed in 25 of 48 PDAC (52.1%) and in 5 of 17 IPMN patients (29.4%), and were possible to make a diagnosis of malignancy in 19 of 25 PDAC (76.0%), and in four of five IPMN patients (80.0%).
The demographic and pathologic characteristics of the patients, and FISH results for chromosomes 7q, 17p, 18q, 20q, and 21q, and a chromosome enumeration probe 18 (CEP18), were investigated. Pathologic staging was determined according to the seventh edition of the American Joint Committee on Cancer staging system.23 Informed consent for tissue sample collection for research purposes was obtained from individual patients preoperatively, and the study protocol, as well as ethical issues, were reviewed and approved by the Institutional Review Board at Seoul National University Hospital (IRB numbers: H-0901-010-267 and H-1807-099-960). Each tumor sample was harvested immediately after surgical resection and stored in liquid nitrogen. Some of the harvested tumor sample was sent to a pathologist and confirmed by frozen section biopsy to ensure that the tumor tissue was properly harvested.
Tumor samples were transported to the laboratory in an icebox. For FISH examination, tissue samples were minced with a surgical scalpel and incubated in collagenase type IV (1 mg/mL) (STEMCELL Technologies, Vancouver, BC, Canada) for 20 minutes. After washing with phosphate-buffered saline, samples were filtered using 100 µm cell strainers (BD Falcon, Franklin Lakes, NJ, USA) to generate a single cell suspension, followed by centrifugation for 5 minutes at 1,200 rpm. After adding 5 mL of 0.075 M KCl to each tube, samples were incubated for 25–30 minutes in a 37°C water bath. Carnoy’s fixative (500 µL) was added, and samples were incubated for 5 minutes at room temperature. Suspensions were centrifuged for 5 minutes at 1,200 rpm, and supernatants were removed. Pellets were resuspended in 3–5 mL of Carnoy’s fixative and incubated for 20 minutes at room temperature, then suspensions were centrifuged for 5 minutes at 1,200 rpm and the supernatants were removed; this step was performed twice. Next, fixed cells were mixed with Carnoy’s fixative and dropped onto microscope slides. Air-dried slides were pretreated with 2× standard saline citrate (SSC; 300 mmol/L sodium chloride and 30 mmol/L sodium citrate) for 30 minutes at 37°C, and dehydrated with cold 70%, 85%, and 100% ethanol for 2 minutes each. Under protection from light, FISH probes were added to the prepared slides, which were then covered with coverslips and sealed with rubber cement. FISH probes used were as follows: XL Spectrum Orange (7q22)/Spectrum Green (7q36), XL ATM Spectrum Green (11q22)/TP53 Spectrum Orange (17p13), XL MALT Break Apart Spectrum Orange/Green (18q21) (MetaSystems, Altlussheim, Germany), Vysis CEP 18 (D18Z1) Spectrum Orange (Abbott Molecular), IGH Spectrum Green (14q32.33)/MAFB Spectrum Red (20q12) (Cytocell Ltd, Cambridge, UK), and Vysis RUNX1 Spectrum Green (21q22)/RUNX1T1 Spectrum Orange (8q21) (Abbott Molecular). Probes and target DNA were simultaneously denatured at 75°C for 5 minutes, then slides were hybridized for 10–16 hours at 37°C in a hybridizer (Dako, Glostrup, Denmark). After hybridization, slides were washed in 0.4× SSC at 73°C for 2 minutes, and in 0.1% Nonidet P-40/2× SSC at room temperature for 2 minutes. Chromosomes were counterstained with 10 µL of 4′-6′-diamine-2-phenylindole dihydrochloride (DAPI/Antifade) (MetaSystems). Images were analyzed using a Zeiss Axioplan 2 imaging microscope (Carl Zeiss MicroImaging GmbH, Munich, Germany) with the ISIS software (MetaSystems). Approximately 100 nuclei were scored for each probe (Fig. 1). Nuclei with ambiguous signals and cells with poor morphology were excluded from scoring. The absolute cutoff values of FISH analysis using tissue samples has not yet been established, and we adopted the binomial treatment of the data to set the cutoff values because it was one of the reliable methods to calculate the cutoff values of FISH analysis in the hematological diseases. Based on FISH analysis of 18 normal pancreatic tissue samples in a preliminary study, cutoff values for the normal range for FISH analysis were calculated using the Excel 2013 (Microsoft Corp., Redmond, WA, USA) statistical function CRITBINOM (n, p, α) with a confidence level of 95% (Table 1).24 When the percentage of cells containing >2 or <2 FISH signals exceeded the cutoff value, cases were interpreted as positive for polysomy (gain) or monosomy (deletion), respectively.
Categorical variables are presented as numbers and percentages, and were compared using the Fisher exact test. Continuous variables are expressed as means with standard deviations, and were compared using the Mann-Whitney U test. All statistical analyses were conducted using SPSS version 20.0 (IBM Corp., Armonk, NY, USA), and p-values <0.05 were considered statistically significant.
The demographic and clinicopathological characteristics of the study population are detailed in Table 2. The mean age of the participants was 65.1 years, and 43 of them (66.2%) were male. Pancreaticoduodenectomy was the most common treatment method, with distal pancreatectomy the second most common. Carbohydrate antigen 19-9 (CA19-9) levels were significantly higher in the PDAC group than the IPMN group. Pathologically, most patients with PDAC had T3 disease (44/48, 91.7%) and lymph node metastases (37/48, 77.1%). However, there were no statistically significant differences between the PDAC and invasive IPMN in pT stage (p=0.080), pN stage (p=0.173), angiolymphatic invasion (p=0.413), perineural invasion (p=0.070), and venous invasion (p=1.000).
At least two chromosome alterations were detected in all patients with either PDAC or IPMN using standard cutoff values (Table 1). For the PDAC group, 17p deletion was the most frequently detected alteration (46/48, 95.8%), followed by 18q deletion (40/48, 83.3%), CEP18 deletion (39/48, 81.2%), 20q gain (39/48, 81.2%), 21q deletion (37/48, 77.1%), and 7q gain (34/48, 70.8%) (Table 3). For the IPMN group, 17p deletion (16/17, 94.1%) and CEP18 deletion (16/17, 94.1%) were also the most frequently detected alterations, followed by 21q deletion, 20q gain, 18q deletion, and 7q gain. CEP18 gain was significantly more frequent in the PDAC group than the IPMN group (26/48 vs 4/17, p=0.029), and the frequency of 18q deletion was marginally significantly different between the two groups (40/48 vs 10/17, p=0.051). The patterns of chromosomal alteration were similar between invasive and noninvasive IPMN, and there were no statistical differences between the two groups in the chromosomal alterations detected by each probe. The details of frequent chromosomal alterations identified in invasive versus noninvasive IPMN were as follows: 7q gain (4/6 vs 6/11, p=1.000), 17p deletion (6/6 vs 10/11, p=1.000), 18q deletion (3/6 vs 7/11, p=0.644), 20q gain (4/6 vs 7/11, p=1.000), 21q deletion (6/6 vs 6/11, p=0.102), and CEP18 deletion (6/6 vs 10/11, p=1.000).
There were statistically significant differences between the PDAC and IPMN groups in the proportion of cells with 17p deletion (32.2±29.3 vs 16.9±20.8, p=0.019) and 18q deletion (27.7±30.2 vs 7.0±13.5, p=0.004) (Fig. 2). For the other probes, there were no statistically significant differences in the chromosomal alteration rates between the PDAC group and IPMN group.
Modification of the cutoff value (percentage of cells positive for a chromosome alteration required for a positive score) resulted in statistically significant differences in mean alteration rates between the PDAC and IPMN groups for some probes as follows: 17p deletion with cutoff values of 10.0% (36/48 vs 7/17, p=0.011) and 20.0% (27/48 vs 3/17, p=0.006); 18q deletion with cutoff values of 10.0% (29/48 vs 2/17, p=0.001) and 20.0% (23/48 vs 1/17, p=0.002); and CEP18 gain with a cutoff value of 5.0% (18/48 vs 2/17, p=0.048).
Analysis of relationships between the commonly identified chromosomal alterations and clinicopathological factors demonstrated that CEP18 gain was significantly more frequent in older patients (21/28 vs 7/20, p=0.024) and those with lymph node metastasis (23/37 vs 3/11, p=0.041) (Table 4); however, no other probes exhibited any significant associations with clinicopathological factors.
For patients with PDAC, overall 1- and 2-year survival rates were 67.2% and 61.6%, respectively. During follow-up (median, 15.5 months; range, 0 to 26 months), recurrence was diagnosed in 26 of 48 patients (54.2%). The majority of recurrence was diagnosed within 12 months (21/26, 80.8%), and the median time to recurrence was 5.0 months. Patients with recurrence had comparable carcinoembryonic antigen and CA19-9 levels and pathologic findings, including T stage, N stage, differentiation, angiolymphatic invasion, perineural invasion, and venous invasion, to those without recurrence (Table 5). There were also no significant differences between patients with recurrence and without recurrence in 7q gain, 17p deletion, 18q deletion, CEP18 deletion, 20q gain, 21q deletion, or CEP18 gain.
To clarify whether the investigated chromosomal alterations were useful for discriminating between PDAC and IPMN, we evaluated the diagnostic accuracies of various patterns of chromosomal alterations (Table 6). Analysis including the five common chromosomal aberrations in the PDAC group (7q gain, 17p deletion, 18q deletion, 20q gain, and 21q deletion) and CEP18 gain, which were significantly more frequent than in the IPMN group, identified a mean of 4.6±0.9 (range, 2 to 6) chromosomal alterations in the PDAC group, with 3.7±1.1 (range, 2 to 6) in the IPMN group (p=0.004). Selection of single probes resulted in higher diagnostic accuracy, with values of 79.3% (sensitivity, 87.8%; specificity, 58.8%; and relative risk, 2.5) for 17p deletion (cutoff value, 10.0%), and it slightly increased to 80.0% when 17p deletion (cutoff value, 10.0%) combined with 18q deletion (standard cutoff value: sensitivity, 97.9%; specificity, 29.4%; and relative risk, 4.8) or 18q deletion with a 10.0% cutoff value (sensitivity, 89.6%; specificity, 52.9%; and relative risk, 2.3).
When we analyzed the 25 PDAC patients who had preoperative histologic diagnosis, all six patients (100.0%) who had not been diagnosed of malignancy showed positive results by FISH analysis whether the diagnostic criteria was set to the 17p deletion (cutoff value, 10.0%) combined with 18q deletion (standard cutoff value), or 18q deletion (cutoff value, 10.0%). The 18 (94.7%), and 16 (84.2%) of 19 patients who had preoperative diagnosis of malignancy showed positive results when the diagnostic criteria was set to the 17p deletion (cutoff value, 10.0%) combined with 18q deletion (standard cutoff value), or 18q deletion (cutoff value, 10.0%), respectively.
The results of the present study demonstrate that chromosomal alterations are very frequent in tumor samples from patients with both PDAC and IPMN. The chromosomal aberration patterns in IPMN were similar to those in PDAC, there were no significant differences in most probe sets, and comparisons of invasive and noninvasive IPMNs also demonstrated no significant differences between these groups. These results imply that similar early genetic alterations may be implicated in the development of both IPMN and PDAC, although they may be partly attributable to the fact that more than half of patients had severe dysplasia or invasive IPMN. Some previous cytogenetic studies support this assumption. Fujii
The present study identified that using a modified cutoff value of 10%, deletions in 17p13 (
The present study also determined that CEP18 gain was significantly more frequent in PDAC; however, little is known about the significance of changes in chromosome 18 copy number, particularly gain, in pancreatic carcinogenesis. On the contrary, some previous cytogenetic studies reported consistent frequent loss of chromosome 18 in PDAC, which was also identified in the present study.4,6,8 Gain of chromosome 18 has been reported in lymphoproliferative diseases, including acute lymphocytic leukemia, multiple myeloma, and non-Hodgkin’s lymphoma; however, its role in carcinogenesis and clinical significance has yet to be elucidated.30 For pancreatic disease, Miyabe
The present study did not reveal clear associations between chromosomal aberrations and clinicopathologic features, including disease recurrence and patient survival, other than for CEP18 gain, which was more frequent in older patients and those with lymph node metastasis. This may be because this study was performed on small patient populations with relatively short-term follow-up. Moreover, approximately 90% of patients had T3 disease and about 80% had lymph node metastases, which could mask the effects of chromosomal alterations. However, there are some reports of a relationship between chromosomal alterations and clinicopathologic prognostic factors. Gutiérrez
Although EUS-guided cytology and core needle biopsy have been the primary tools for diagnosis of PDAC, they (particularly cytology) have been discredited because of low diagnostic sensitivity. The diagnostic yields of pancreatic EUS-guided fine-needle aspiration and core needle biopsy indicate sensitivities for these techniques of 54% to 96%, and 71% to 99%, respectively, and the present study showed similar sensitivity (76.0%).14,15 The main limitation of cytology is false-negative results in patients with PDAC, which can be attributed to various factors, including difficulties in cytologic interpretation of specimens with inflammatory cells, induced by adjacent chronic pancreatitis or recent instrumentation; paucicellular specimens, which harbor few or no malignant cells; and well-differentiated carcinomas, which are difficult to discern.33 FISH can be used to analyze limited tissue material, including small biopsies, and samples from brushing or aspiration cytology, and has the ability to detect chromosomal alterations common in malignant tumors. This technique has been increasingly used in research and clinical practice for detection of pancreatobiliary malignancy in cytology specimens.17-20
The present study revealed the highest diagnostic accuracy for PDAC (80.0%) of FISH tests positive for 17p deletion or 18q deletion, with a cutoff value of 10.0%, and single probe detection of 17p deletion (cutoff value, 10.0%) had a diagnostic accuracy of 79.3%, with acceptable sensitivity (87.8%) and specificity (58.8%). We also found that these probe sets might be helpful in increasing the preoperative diagnostic accuracy for the patients who were not diagnosed with PDAC with conventional histologic examinations. Over decades, some studies have reported the clinical utility of UroVysion FISH using pancreatobiliary brushing specimens, revealing sensitivity significantly higher than that of conventional cytology for detection of malignancy.17-20 UroVysion FISH has a diagnostic sensitivity of 34% to 58%, which is higher than that of routine cytology (8% to 40%); however, approximately half of patients with malignancy remain undiagnosed by FISH.16-20 However, only a few FISH studies of pancreatobiliary malignancies have used probes other than the UroVysion FISH probe set. Miyabe
This study has some limitations. First, as our sample size was relatively small and FISH analysis was performed with relatively few probe sets, the statistical power may be limited. This may account for the failure to elucidate any correlation between chromosomal alterations and clinicopathologic factors, including disease recurrence and patient survival. Second, this study compared chromosomal alterations of PDAC to those of IPMN. Because one of the aims of this study was to find out the useful FISH probe sets which could aid preoperative histologic diagnosis, we selected the probes directed to the chromosomes which alterations had been reported relatively frequent in PDAC to increase the diagnostic sensitivity, and set IPMN as a control group to identify the discrimination power of selected probes because IPMN might harbor similar chromosomal alterations to PDAC. However, the chromosomal alterations during the PanIN-derived carcinogenesis would be different from that from IPMN-derived pathway. Because we experimented with cryopreserved tissue samples other than paraffin blocks, we could not harvest more premalignant tissue samples of PanIN and IPMN lesions with low to high grade dysplasia, which might make it possible to elucidate the differences of chromosomal alterations during the PanIN- and IPMN-derived pancreatic carcinogenesis. Nevertheless, we believe the commonality and the differences of chromosomal alteration between PDAC and IPMN identified in the present study could provide helpful information about the carcinogenesis of PDAC for conducting future studies. Lastly, this study was performed using tissue samples obtained by surgical resection, which harbored sufficient cells for analysis. This could have resulted in overestimation of diagnostic accuracy. Therefore, further studies are required to apply our findings in clinical practice using limited cytology specimens or small biopsies, and attempts to identify a more specific FISH probe set devoted to detection of chromosomal alterations typical of PDAC are warranted.
In conclusion, chromosomal alterations were frequently identified in both PDACs and IPMNs. PDACs had 17p deletion, 18q deletion, CEP18 deletion, 20q gain, 21q deletion, and 7q gain in more than 70% of patients, and IPMNs had a similar chromosomal aberration pattern; however, IPMNs had a lower positive rate. Gain of chromosome 18 and deletions in 17p and 18q may be involved in the late steps of PDAC carcinogenesis. Although there were no clear clinicopathological associations with chromosomal alterations, deletions at chromosome 17p and 18q may represent excellent diagnostic markers for PDAC.
This study was supported by the Collaborative Genome Program for Fostering New Post-Genome Industry of the National Research Foundation funded by the Ministry of Science and ICT (NRF-2017M3C9A5031597) and the Korean Health Technology R&D Project, Ministry of Health & Welfare (HI14C2640), Republic of Korea.
No potential conflict of interest relevant to this article was reported.
Data analysis and interpretation: C.S.L., K.I., W.K., J.R.K., Y.H. Data acquisition: K.I., Y.H. Drafting the manuscript: C.S.L. Critical revision of the manuscript, study supervision: D.S.L., S.W.K., J.Y.J. Study concept and design: J.Y.J.
Cutoff Values for Each FISH Probe
Probe | Cutoff value (%) | ||
---|---|---|---|
Monosomy | Polysomy* | Aneuploidy† | |
7q22/7q36 | 1.0 | 0.0 | 1.0 |
17p13 | 1.0 | 0.0 | 1.0 |
18q21 | 2.0 | 1.0 | 3.0 |
20q12 | 1.0 | 0.0 | 1.0 |
21q22 | 2.0 | 1.0 | 3.0 |
CEP18 | 3.0 | 1.0 | 4.0 |
FISH, fluorescence
*Trisomy cutoff+tetrasomy cutoff;†Monosomy cutoff+polysomy cutoff.
Patient Demographic and Clinicopathologic Data
Characteristic | All (n=65) | PDAC (n=48) | IPMN (n=17) | p-value |
---|---|---|---|---|
Age, yr | 65.1±9.7 | 65.9±8.6 | 63.1±12.5 | 0.617 |
Male sex | 43 (66.2) | 31 (64.6) | 12 (70.6) | 0.653 |
Types of operation | 0.136 | |||
PD | 38 (58.5) | 29 (60.4) | 9 (52.9) | |
Distal pancreatectomy | 20 (30.8) | 16 (33.3) | 4 (23.5) | |
Other* | 7 (10.8) | 3 (6.2) | 4 (23.5) | |
CEA, ng/mL | 6.5±22.3 | 7.9±25.9 | 2.8±1.1 | 0.662 |
CA19-9, U/mL | 1,055.0±2,786.1 | 1,396.0±3,151.2 | 32.1±31.9 | <0.001 |
pT† | 0.080 | |||
T1 | 2 (3.7) | 1 (2.1) | 1 (16.7) | |
T2 | 2 (3.7) | 1 (2.1) | 1 (16.7) | |
T3 | 48 (88.9) | 44 (91.7) | 4 (66.7) | |
T4 | 2 (3.7) | 2 (4.2) | 0 | |
pN† | 0.173 | |||
N0 | 14 (25.9) | 11 (22.9) | 3 (50.0) | |
N1 | 40 (74.1) | 37 (77.1) | 3 (50.0) | |
Differentiation† | 0.010 | |||
Well/moderate/poor | 7/36/8 | 7/32/8 | 0/4/0 | |
Unknown | 3 | 1 | 2 | |
Angiolymphatic invasion (+)† | 26 (48.1) | 22 (45.8) | 4 (66.7) | 0.413 |
Perineural invasion (+)† | 44 (81.5) | 41 (85.4) | 3 (50.0) | 0.070 |
Venous invasion (+)† | 31 (57.4) | 28 (58.3) | 3 (50.0) | 1.000 |
Data are presented as mean±SD or number (%).
PDAC, pancreatic ductal adenocarcinoma; IPMN, intraductal papillary mucinous neoplasm; PD, pancreaticoduodenectomy; CEA, carcinoembryonic antigen; CA19-9, carbohydrate antigen 19-9.
*Total pancreatectomy (n=4), subtotal pancreatectomy (n=2), central pancreatectomy (n=1);†The reported pathologic data and statistical analysis of IPMN patients refer to only those with invasive IPMN (n=6).
FISH Analysis Results According to Pathologic Diagnosis
Chromosomal alteration | PDAC (n=48) | IPMN (n=17) | p-value |
---|---|---|---|
7q22/7q36 | |||
Monosomy | 14 (29.2) | 3 (17.6) | 0.523 |
Polysomy | 34 (70.8) | 10 (58.8) | 0.363 |
Aneuploidy | 38 (79.2) | 11 (64.7) | 0.326 |
17p13 | |||
Monosomy | 46 (95.8) | 16 (94.1) | 1.000 |
Polysomy | 10 (20.8) | 3 (17.6) | 1.000 |
Aneuploidy | 44 (91.7) | 16 (94.1) | 1.000 |
18q21 | |||
Monosomy | 40 (83.3) | 10 (58.8) | 0.051 |
Polysomy | 10 (20.8) | 3 (17.6) | 1.000 |
Aneuploidy | 39 (81.2) | 10 (58.8) | 0.100 |
20q12 | |||
Monosomy | 27 (56.2) | 10 (58.8) | 0.854 |
Polysomy | 39 (81.2) | 11 (64.7) | 0.191 |
Aneuploidy | 44 (91.7) | 15 (88.2) | 0.648 |
21q22 | |||
Monosomy | 37 (77.1) | 12 (70.6) | 0.744 |
Polysomy | 17 (35.4) | 8 (47.1) | 0.397 |
Aneuploidy | 40 (83.3) | 14 (82.4) | 1.000 |
CEP18 | |||
Monosomy | 39 (81.2) | 16 (94.1) | 0.270 |
Polysomy | 26 (54.2) | 4 (23.5) | 0.029 |
Aneuploidy | 47 (97.9) | 16 (94.1) | 0.458 |
Data are presented as number (%).
FISH, fluorescence
Relationships between Clinicopathological Parameters of 48 Pancreatic Cancer Patients and FISH Results
Characteristic | No. | 17p13 monosomy | 18q21 monosomy | CEP18 monosomy | 20q12 polysomy | 21q22 monosomy | 7q36 polysomy | CEP18 polysomy | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
No. (%) | p-value | No. (%) | p-value | No. (%) | p-value | No. (%) | p-value | No. (%) | p-value | No. (%) | p-value | No. (%) | p-value | ||
Age, yr | |||||||||||||||
≤65 | 20 | 19 (95.0) | 1.000 | 17 (85.0) | 1.000 | 18 (90.9) | 0.271 | 17 (85.0) | 0.716 | 17 (85.0) | 0.319 | 13 (65.0) | 0.452 | 7 (35.0) | 0.024 |
>65 | 28 | 27 (96.4) | 23 (82.1) | 21 (75.0) | 22 (78.6) | 20 (71.4) | 21 (75.0) | 21 (67.9) | |||||||
Sex | |||||||||||||||
Male | 31 | 29 (93.5) | 0.533 | 26 (83.9) | 1.000 | 26 (83.9) | 0.701 | 24 (77.4) | 0.460 | 24 (77.4) | 1.000 | 20 (64.5) | 0.320 | 18 (58.1) | 0.464 |
Female | 17 | 17 (100.0) | 14 (82.4) | 13 (76.5) | 15 (88.2) | 13 (76.5) | 14 (82.4) | 8 (47.1) | |||||||
CEA, ng/mL | |||||||||||||||
≤5.0 | 37 | 35 (94.6) | 1.000 | 30 (81.1) | 0.667 | 30 (81.1) | 1.000 | 32 (86.5) | 0.081 | 27 (73.0) | 0.091 | 27 (73.0) | 0.456 | 19 (51.4) | 0.475 |
>5.0 | 10 | 10 (100.0) | 9 (90.0) | 8 (80.0) | 6 (60.0) | 10 (100.0) | 6 (60.0) | 7 (70.0) | |||||||
CA19-9, U/mL | |||||||||||||||
≤37.0 | 10 | 10 (100.0) | 1.000 | 8 (80.0) | 0.666 | 9 (90.0) | 0.661 | 7 (70.0) | 0.370 | 7 (70.0) | 0.675 | 8 (80.0) | 0.701 | 5 (50.0) | 1.000 |
>37.0 | 38 | 36 (94.7) | 32 (84.2) | 30 (78.9) | 32 (84.2) | 30 (78.9) | 26 (68.4) | 21 (55.3) | |||||||
pT | |||||||||||||||
T1/T2 | 2 | 2 (100.0) | 1.000 | 2 (100.0) | 1.000 | 2 (100.0) | 1.000 | 2 (100.0) | 1.000 | 1 (50.0) | 0.410 | 2 (100.0) | 1.000 | 1 (50.0) | 1.000 |
T3/T4 | 46 | 44 (95.7) | 38 (82.6) | 37 (80.4) | 37 (80.4) | 36 (78.3) | 32 (69.6) | 25 (54.3) | |||||||
pN | |||||||||||||||
N0 | 11 | 11 (100.0) | 1.000 | 9 (81.8) | 1.000 | 11 (100.0) | 0.095 | 9 (81.8) | 1.000 | 7 (63.6) | 0.246 | 8 (72.7) | 1.000 | 3 (27.3) | 0.041 |
N1 | 37 | 35 (94.6) | 31 (83.8) | 28 (75.7) | 30 (81.1) | 30 (81.1) | 26 (70.3) | 23 (62.2) | |||||||
Differentiation | |||||||||||||||
Well | 7 | 6 (85.7) | 0.518 | 7 (100.0) | 0.552 | 7 (100.0) | 0.104 | 6 (85.7) | 0.866 | 5 (71.4) | 0.281 | 5 (71.4) | 0.592 | 4 (57.1) | 0.816 |
Moderate | 32 | 31 (96.9) | 26 (81.2) | 26 (81.2) | 25 (78.1) | 26 (81.2) | 21 (65.6) | 17 (53.1) | |||||||
Poor | 8 | 8 (100.0) | 6 (75.0) | 6 (75.0) | 7 (87.5) | 6 (75.0) | 7 (87.5) | 4 (50.0) | |||||||
ALI | |||||||||||||||
(–) | 26 | 26 (100.0) | 0.205 | 22 (84.6) | 1.000 | 20 (76.9) | 0.478 | 21 (80.8) | 1.000 | 19 (73.1) | 0.473 | 20 (76.9) | 0.313 | 15 (57.7) | 0.594 |
(+) | 22 | 20 (90.9) | 18 (81.8) | 19 (86.4) | 18 (81.8) | 18 (81.8) | 14 (63.6) | 11 (50.0) | |||||||
PNI | |||||||||||||||
(–) | 7 | 6 (85.7) | 0.273 | 7 (100.0) | 0.583 | 7 (100.0) | 0.320 | 5 (71.4) | 0.601 | 5 (71.4) | 0.653 | 4 (57.1) | 0.400 | 2 (28.6) | 0.223 |
(+) | 41 | 40 (97.6) | 33 (80.5) | 32 (78.0) | 34 (82.9) | 32 (78.0) | 30 (73.2) | 24 (58.5) | |||||||
Venous invasion | |||||||||||||||
(–) | 20 | 20 (100.0) | 0.504 | 18 (90.0) | 0.440 | 17 (85.0) | 0.716 | 16 (80.0) | 1.000 | 14 (70.0) | 0.488 | 14 (70.0) | 0.915 | 10 (50.0) | 0.624 |
(+) | 28 | 26 (92.9) | 22 (78.6) | 22 (78.6) | 23 (82.1) | 23 (82.1) | 20 (71.4) | 16 (54.2) |
FISH, fluorescence
Clinicopathological Differences and FISH Results According to Cancer Recurrence
Characteristic | All (n=48) | No recurrence (n=22) | Recurrence (n=26) | p-value |
---|---|---|---|---|
Age, yr | 65.9±8.6 | 66.4±6.3 | 65.4±10.2 | 0.868 |
Male sex | 31 (64.6) | 15 (68.2) | 16 (61.5) | 0.632 |
Type of operation | 0.867 | |||
PD | 29 (60.4) | 14 (63.6) | 15 (57.7) | |
Distal pancreatectomy | 16 (33.3) | 7 (31.8) | 9 (34.6) | |
Other* | 3 (6.3) | 1 (4.5) | 2 (7.7) | |
CEA, ng/mL | 7.9±25.9 | 12.4±38.3 | 4.2±5.5 | 0.424 |
CA19-9, U/mL | 1,396.0±3,151.2 | 1,682.5±3,577.5 | 1,153.6±2,790.0 | 0.521 |
pT | 0.246 | |||
T1 | 1 (2.1) | 1 (4.5) | 0 | |
T2 | 1 (2.1) | 1 (4.5) | 0 | |
T3 | 44 (91.7) | 19 (86.4) | 25 (96.2) | |
T4 | 2 (4.2) | 1 (4.5) | 1 (3.8) | |
pN | 0.977 | |||
N0 | 11 (22.9) | 5 (22.7) | 6 (23.1) | |
N1 | 37 (77.1) | 17 (77.3) | 20 (76.9) | |
Differentiation | 0.695 | |||
Well/moderate/poor | 7/32/8 | 4/15/3 | 3/17/5 | |
Unknown | 1 | 0 | 1 | |
Angiolymphatic invasion (+) | 22 (45.8) | 9 (40.9) | 13 (50.0) | 0.529 |
Perineural invasion (+) | 41 (81.5) | 19 (86.4) | 22 (84.6) | 1.000 |
Venous invasion (+) | 28 (58.3) | 12 (54.5) | 16 (61.5) | 0.624 |
FISH analysis | ||||
17p13 monosomy (+) | 46 (95.8) | 22 (100.0) | 24 (92.3) | 0.493 |
18q21 monosomy (+) | 40 (83.3) | 21 (95.5) | 19 (73.1) | 0.055 |
CEP18 monosomy (+) | 39 (81.2) | 18 (81.8) | 21 (80.8) | 1.000 |
20q12 polysomy (+) | 39 (81.2) | 18 (81.8) | 21 (80.8) | 1.000 |
21q22 monosomy (+) | 37 (77.1) | 17 (77.3) | 20 (76.9) | 0.977 |
7q36 polysomy (+) | 34 (70.8) | 15 (68.2) | 19 (73.1) | 0.710 |
CEP18 polysomy (+) | 26 (54.2) | 13 (59.1) | 13 (50.0) | 0.529 |
Data are presented as mean±SD or number (%).
FISH, fluorescence
*Total pancreatectomy (n=1), subtotal pancreatectomy (n=2).
Parameters for Pancreatic Ductal Adenocarcinoma Diagnosis Using FISH
Diagnostic criteria | Sensitivity (%) | Specificity (%) | Accuracy (%) | Relative risk |
---|---|---|---|---|
All 6 probes (+) | 15.2 | 100.0 | 38.1 | 1.4 |
≥5 Probes (+) | 60.4 | 70.6 | 63.1 | 1.4 |
≥4 Probes (+) | 89.6 | 41.2 | 76.9 | 1.9 |
≥3 Probes (+) | 97.9 | 17.6 | 76.9 | 3.1 |
17p13 (+) | 95.8 | 5.9 | 72.3 | 1.1 |
18q21 (+) | 83.3 | 41.2 | 72.3 | 1.5 |
7q36 (+) | 70.8 | 41.2 | 63.1 | 1.2 |
CEP18 (+) | 54.2 | 76.5 | 60.0 | 1.4 |
20q12 (+) | 81.3 | 35.3 | 69.2 | 1.3 |
21q22 (+) | 77.1 | 29.4 | 64.6 | 1.1 |
17p13 (10%)* (+) | 87.8 | 58.8 | 79.3 | 2.5 |
17p13 (20%)† (+) | 56.3 | 82.4 | 63.1 | 1.5 |
18q21 (10%)* (+) | 60.4 | 88.2 | 67.7 | 1.7 |
18q21 (20%)† (+) | 47.9 | 94.1 | 60.0 | 1.6 |
17p13 and 18q21 (+) | 79.2 | 47.1 | 70.8 | 1.5 |
17p13 (10%)* and 18q21 (+) | 60.4 | 70.6 | 63.1 | 1.4 |
17p13 (10%)* or 18q21 (+) | 97.9 | 29.4 | 80.0 | 4.8 |
17p13 (20%)† and 18q21 (+) | 45.8 | 82.4 | 55.4 | 1.4 |
17p13 and 18q21 (10%)* (+) | 56.3 | 94.1 | 66.2 | 1.7 |
17p13 and 18q21 (20%)† (+) | 45.8 | 94.1 | 58.5 | 1.5 |
17p13 (10%)* and 18q21 (10%)* (+) | 47.9 | 94.1 | 60.0 | 1.6 |
17p13 (10%)* or 18q21 (10%)* (+) | 89.6 | 52.9 | 80.0 | 2.3 |
17p13 (10%)* or 18q21 (20%)† (+) | 85.4 | 58.8 | 78.5 | 2.1 |
17p13 (10%)* or CEP18 (+) | 89.6 | 35.3 | 75.4 | 1.8 |
17p13, 18q21, and CEP18 (+) | 41.7 | 88.2 | 53.8 | 1.4 |
17p13 (10%)*, 18q21 (10%)*, and CEP18 (+) | 22.9 | 100.0 | 43.1 | 1.5 |
17p13 (10%)*, 18q21 (20%)†, and CEP18 (+) | 16.7 | 100.0 | 38.5 | 1.4 |
17p13 (20%)†, 18q21 (10%)*, and CEP18 (+) | 14.6 | 100.0 | 36.9 | 1.4 |
17p13 (20%)†, 18q21 (20%)†, and CEP18 (+) | 8.3 | 100.0 | 32.3 | 1.4 |
17p13 (10%)*, 18q21 (10%)*, or CEP18 (+) | 93.8 | 29.4 | 76.9 | 2.1 |
FISH, fluorescence
*Upper cutoff value, 10%;†Upper cutoff value, 20%.
Gut and Liver 2020; 14(4): 509-520
Published online July 15, 2020 https://doi.org/10.5009/gnl19087
Copyright © Gut and Liver.
Chang-Sup Lim1 , Kyongok Im2,3
, Dong Soon Lee2,3
, Wooil Kwon3,4
, Jae Ri Kim3,4
, Youngmin Han3,4
, Sun-Whe Kim3,4
, Jin-Young Jang3,4
1Department of Surgery, SMG-SNU Boramae Medical Center, 2Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 3Cancer Research Institute, Seoul National University College of Medicine, and 4Department of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
Correspondence to:Jin-Young Jang
Department of Surgery, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea
Tel: +82-2-2072-2194, Fax: +82-2-741-2194, E-mail: jangjy4@snu.ac.kr
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Background/Aims: We investigated chromosomal aberrations in patients with pancreatic ductal adenocarcinoma (PDAC) and intraductal papillary mucinous neoplasm (IPMN) by fluorescence in situ hybridization (FISH) to identify cytogenetic changes and molecular markers that may be useful for preoperative diagnosis. Methods: Tissue samples from 48 PDAC and 17 IPMN patients were investigated by FISH analysis using probes targeting chromosomes 7q, 17p, 18q, 20q, and 21q and the pericentromeric region of chromosome 18 (CEP18). Results: The PDAC samples harbored 17p deletion (95.8%), 18q deletion (83.3%), CEP18 deletion (81.2%), 20q gain (81.2%), 21q deletion (77.1%), and 7q gain (70.8%). The IPMN samples had 17p deletion (94.1%), CEP18 deletion (94.1%), 21q deletion (70.6%), 18q deletion (58.8%), 20q gain (58.8%), and 7q gain (58.8%). A significant difference in CEP18 gain was identified between the PDAC and IPMN groups (p=0.029). Detection of 17p or 18q deletion had the highest diagnostic accuracy (80.0%) for PDAC. Conclusions: Chromosomal alterations were frequently identified in both PDAC and IPMN with similar patterns. CEP18 gain and 17p and 18q deletions might be involved in the later stages of PDAC tumorigenesis. Chromosome 17p and 18q deletions might be excellent diagnostic markers.
Keywords: Carcinoma, pancreatic ductal, Pancreatic intraductal neoplasms, In situ hybridization, fluorescence, Chromosomal aberrations
Pancreatic ductal adenocarcinoma (PDAC) is the fourth leading cause of cancer death, and is projected to become the second leading cause of cancer-related death in the United States by 2030.1 Surgical resection remains the only curative treatment modality; however, most patients are ineligible for surgery because of advanced disease at diagnosis.2
To develop effective methods for early stage diagnosis of this deadly disease which could improve its outcomes, it is important to identify the fundamental genetic changes involved in PDAC carcinogenesis. Activation of the
It is also important for clinicians to discriminate PDAC from other benign pancreatic diseases to facilitate establishment of appropriate therapeutic plans. Endoscopic ultrasound (EUS)-guided fine-needle aspiration or cytologic brushing is the current standard method for tissue acquisition and pathologic diagnosis of pancreatic lesions. However, histopathologic diagnosis is often difficult and diagnostic sensitivity is consequently unsatisfactory.14-16 Fluorescence
Most of the previous studies concerning the chromosomal alteration of PDAC and IPMN has been conducted in Western countries, and there has been only a few reports from Asian countries.11,12,20,21 In addition, previous studies did not show consistent chromosomal alteration, which might imply that there could be many genetic variations in the genesis and progression of PDAC and IPMN. We assume that the differences of chromosomal alteration between PDAC and IPMN might provide valuable information about carcinogenesis because IPMN is a well-known premalignant disease. The commonality of genetic alteration between the two diseases might be presumed to occur in the earlier stages of carcinogenesis, and the differences might be occur in the later steps. Besides, these differences might be also helpful in the preoperative diagnosis of PDAC. In this study, we investigated the chromosomal aberrations in PDAC and IPMN patient samples by FISH analysis using probes targeting chromosomes reported as frequently altered in PDAC, to identify the patterns and differences of chromosomal alteration in Korean PDAC and IPMN patients, and to investigate the optimal probe sets that may aid preoperative diagnosis of PDAC.
Prospectively collected tumor tissue samples from patients who underwent pancreatic resection at the Seoul National University Hospital (Seoul, Korea) from April 2015 to July 2016 were investigated. The patients had PDAC (n=48) or IPMN (n=17). Among those with IPMN, two, four, and five patients had mild, moderate, and severe dysplasia, respectively, while six had invasive IPMN. Invasive IPMN was defined when there as the presence of an invasive carcinoma derived from (arising in the area of) IPMN pathologically.22 All 65 patients were scheduled for surgery with a suspicion of malignancy in radiological evaluations. Preoperative histologic diagnoses using EUS-guided fine-needle aspiration were performed in 25 of 48 PDAC (52.1%) and in 5 of 17 IPMN patients (29.4%), and were possible to make a diagnosis of malignancy in 19 of 25 PDAC (76.0%), and in four of five IPMN patients (80.0%).
The demographic and pathologic characteristics of the patients, and FISH results for chromosomes 7q, 17p, 18q, 20q, and 21q, and a chromosome enumeration probe 18 (CEP18), were investigated. Pathologic staging was determined according to the seventh edition of the American Joint Committee on Cancer staging system.23 Informed consent for tissue sample collection for research purposes was obtained from individual patients preoperatively, and the study protocol, as well as ethical issues, were reviewed and approved by the Institutional Review Board at Seoul National University Hospital (IRB numbers: H-0901-010-267 and H-1807-099-960). Each tumor sample was harvested immediately after surgical resection and stored in liquid nitrogen. Some of the harvested tumor sample was sent to a pathologist and confirmed by frozen section biopsy to ensure that the tumor tissue was properly harvested.
Tumor samples were transported to the laboratory in an icebox. For FISH examination, tissue samples were minced with a surgical scalpel and incubated in collagenase type IV (1 mg/mL) (STEMCELL Technologies, Vancouver, BC, Canada) for 20 minutes. After washing with phosphate-buffered saline, samples were filtered using 100 µm cell strainers (BD Falcon, Franklin Lakes, NJ, USA) to generate a single cell suspension, followed by centrifugation for 5 minutes at 1,200 rpm. After adding 5 mL of 0.075 M KCl to each tube, samples were incubated for 25–30 minutes in a 37°C water bath. Carnoy’s fixative (500 µL) was added, and samples were incubated for 5 minutes at room temperature. Suspensions were centrifuged for 5 minutes at 1,200 rpm, and supernatants were removed. Pellets were resuspended in 3–5 mL of Carnoy’s fixative and incubated for 20 minutes at room temperature, then suspensions were centrifuged for 5 minutes at 1,200 rpm and the supernatants were removed; this step was performed twice. Next, fixed cells were mixed with Carnoy’s fixative and dropped onto microscope slides. Air-dried slides were pretreated with 2× standard saline citrate (SSC; 300 mmol/L sodium chloride and 30 mmol/L sodium citrate) for 30 minutes at 37°C, and dehydrated with cold 70%, 85%, and 100% ethanol for 2 minutes each. Under protection from light, FISH probes were added to the prepared slides, which were then covered with coverslips and sealed with rubber cement. FISH probes used were as follows: XL Spectrum Orange (7q22)/Spectrum Green (7q36), XL ATM Spectrum Green (11q22)/TP53 Spectrum Orange (17p13), XL MALT Break Apart Spectrum Orange/Green (18q21) (MetaSystems, Altlussheim, Germany), Vysis CEP 18 (D18Z1) Spectrum Orange (Abbott Molecular), IGH Spectrum Green (14q32.33)/MAFB Spectrum Red (20q12) (Cytocell Ltd, Cambridge, UK), and Vysis RUNX1 Spectrum Green (21q22)/RUNX1T1 Spectrum Orange (8q21) (Abbott Molecular). Probes and target DNA were simultaneously denatured at 75°C for 5 minutes, then slides were hybridized for 10–16 hours at 37°C in a hybridizer (Dako, Glostrup, Denmark). After hybridization, slides were washed in 0.4× SSC at 73°C for 2 minutes, and in 0.1% Nonidet P-40/2× SSC at room temperature for 2 minutes. Chromosomes were counterstained with 10 µL of 4′-6′-diamine-2-phenylindole dihydrochloride (DAPI/Antifade) (MetaSystems). Images were analyzed using a Zeiss Axioplan 2 imaging microscope (Carl Zeiss MicroImaging GmbH, Munich, Germany) with the ISIS software (MetaSystems). Approximately 100 nuclei were scored for each probe (Fig. 1). Nuclei with ambiguous signals and cells with poor morphology were excluded from scoring. The absolute cutoff values of FISH analysis using tissue samples has not yet been established, and we adopted the binomial treatment of the data to set the cutoff values because it was one of the reliable methods to calculate the cutoff values of FISH analysis in the hematological diseases. Based on FISH analysis of 18 normal pancreatic tissue samples in a preliminary study, cutoff values for the normal range for FISH analysis were calculated using the Excel 2013 (Microsoft Corp., Redmond, WA, USA) statistical function CRITBINOM (n, p, α) with a confidence level of 95% (Table 1).24 When the percentage of cells containing >2 or <2 FISH signals exceeded the cutoff value, cases were interpreted as positive for polysomy (gain) or monosomy (deletion), respectively.
Categorical variables are presented as numbers and percentages, and were compared using the Fisher exact test. Continuous variables are expressed as means with standard deviations, and were compared using the Mann-Whitney U test. All statistical analyses were conducted using SPSS version 20.0 (IBM Corp., Armonk, NY, USA), and p-values <0.05 were considered statistically significant.
The demographic and clinicopathological characteristics of the study population are detailed in Table 2. The mean age of the participants was 65.1 years, and 43 of them (66.2%) were male. Pancreaticoduodenectomy was the most common treatment method, with distal pancreatectomy the second most common. Carbohydrate antigen 19-9 (CA19-9) levels were significantly higher in the PDAC group than the IPMN group. Pathologically, most patients with PDAC had T3 disease (44/48, 91.7%) and lymph node metastases (37/48, 77.1%). However, there were no statistically significant differences between the PDAC and invasive IPMN in pT stage (p=0.080), pN stage (p=0.173), angiolymphatic invasion (p=0.413), perineural invasion (p=0.070), and venous invasion (p=1.000).
At least two chromosome alterations were detected in all patients with either PDAC or IPMN using standard cutoff values (Table 1). For the PDAC group, 17p deletion was the most frequently detected alteration (46/48, 95.8%), followed by 18q deletion (40/48, 83.3%), CEP18 deletion (39/48, 81.2%), 20q gain (39/48, 81.2%), 21q deletion (37/48, 77.1%), and 7q gain (34/48, 70.8%) (Table 3). For the IPMN group, 17p deletion (16/17, 94.1%) and CEP18 deletion (16/17, 94.1%) were also the most frequently detected alterations, followed by 21q deletion, 20q gain, 18q deletion, and 7q gain. CEP18 gain was significantly more frequent in the PDAC group than the IPMN group (26/48 vs 4/17, p=0.029), and the frequency of 18q deletion was marginally significantly different between the two groups (40/48 vs 10/17, p=0.051). The patterns of chromosomal alteration were similar between invasive and noninvasive IPMN, and there were no statistical differences between the two groups in the chromosomal alterations detected by each probe. The details of frequent chromosomal alterations identified in invasive versus noninvasive IPMN were as follows: 7q gain (4/6 vs 6/11, p=1.000), 17p deletion (6/6 vs 10/11, p=1.000), 18q deletion (3/6 vs 7/11, p=0.644), 20q gain (4/6 vs 7/11, p=1.000), 21q deletion (6/6 vs 6/11, p=0.102), and CEP18 deletion (6/6 vs 10/11, p=1.000).
There were statistically significant differences between the PDAC and IPMN groups in the proportion of cells with 17p deletion (32.2±29.3 vs 16.9±20.8, p=0.019) and 18q deletion (27.7±30.2 vs 7.0±13.5, p=0.004) (Fig. 2). For the other probes, there were no statistically significant differences in the chromosomal alteration rates between the PDAC group and IPMN group.
Modification of the cutoff value (percentage of cells positive for a chromosome alteration required for a positive score) resulted in statistically significant differences in mean alteration rates between the PDAC and IPMN groups for some probes as follows: 17p deletion with cutoff values of 10.0% (36/48 vs 7/17, p=0.011) and 20.0% (27/48 vs 3/17, p=0.006); 18q deletion with cutoff values of 10.0% (29/48 vs 2/17, p=0.001) and 20.0% (23/48 vs 1/17, p=0.002); and CEP18 gain with a cutoff value of 5.0% (18/48 vs 2/17, p=0.048).
Analysis of relationships between the commonly identified chromosomal alterations and clinicopathological factors demonstrated that CEP18 gain was significantly more frequent in older patients (21/28 vs 7/20, p=0.024) and those with lymph node metastasis (23/37 vs 3/11, p=0.041) (Table 4); however, no other probes exhibited any significant associations with clinicopathological factors.
For patients with PDAC, overall 1- and 2-year survival rates were 67.2% and 61.6%, respectively. During follow-up (median, 15.5 months; range, 0 to 26 months), recurrence was diagnosed in 26 of 48 patients (54.2%). The majority of recurrence was diagnosed within 12 months (21/26, 80.8%), and the median time to recurrence was 5.0 months. Patients with recurrence had comparable carcinoembryonic antigen and CA19-9 levels and pathologic findings, including T stage, N stage, differentiation, angiolymphatic invasion, perineural invasion, and venous invasion, to those without recurrence (Table 5). There were also no significant differences between patients with recurrence and without recurrence in 7q gain, 17p deletion, 18q deletion, CEP18 deletion, 20q gain, 21q deletion, or CEP18 gain.
To clarify whether the investigated chromosomal alterations were useful for discriminating between PDAC and IPMN, we evaluated the diagnostic accuracies of various patterns of chromosomal alterations (Table 6). Analysis including the five common chromosomal aberrations in the PDAC group (7q gain, 17p deletion, 18q deletion, 20q gain, and 21q deletion) and CEP18 gain, which were significantly more frequent than in the IPMN group, identified a mean of 4.6±0.9 (range, 2 to 6) chromosomal alterations in the PDAC group, with 3.7±1.1 (range, 2 to 6) in the IPMN group (p=0.004). Selection of single probes resulted in higher diagnostic accuracy, with values of 79.3% (sensitivity, 87.8%; specificity, 58.8%; and relative risk, 2.5) for 17p deletion (cutoff value, 10.0%), and it slightly increased to 80.0% when 17p deletion (cutoff value, 10.0%) combined with 18q deletion (standard cutoff value: sensitivity, 97.9%; specificity, 29.4%; and relative risk, 4.8) or 18q deletion with a 10.0% cutoff value (sensitivity, 89.6%; specificity, 52.9%; and relative risk, 2.3).
When we analyzed the 25 PDAC patients who had preoperative histologic diagnosis, all six patients (100.0%) who had not been diagnosed of malignancy showed positive results by FISH analysis whether the diagnostic criteria was set to the 17p deletion (cutoff value, 10.0%) combined with 18q deletion (standard cutoff value), or 18q deletion (cutoff value, 10.0%). The 18 (94.7%), and 16 (84.2%) of 19 patients who had preoperative diagnosis of malignancy showed positive results when the diagnostic criteria was set to the 17p deletion (cutoff value, 10.0%) combined with 18q deletion (standard cutoff value), or 18q deletion (cutoff value, 10.0%), respectively.
The results of the present study demonstrate that chromosomal alterations are very frequent in tumor samples from patients with both PDAC and IPMN. The chromosomal aberration patterns in IPMN were similar to those in PDAC, there were no significant differences in most probe sets, and comparisons of invasive and noninvasive IPMNs also demonstrated no significant differences between these groups. These results imply that similar early genetic alterations may be implicated in the development of both IPMN and PDAC, although they may be partly attributable to the fact that more than half of patients had severe dysplasia or invasive IPMN. Some previous cytogenetic studies support this assumption. Fujii
The present study identified that using a modified cutoff value of 10%, deletions in 17p13 (
The present study also determined that CEP18 gain was significantly more frequent in PDAC; however, little is known about the significance of changes in chromosome 18 copy number, particularly gain, in pancreatic carcinogenesis. On the contrary, some previous cytogenetic studies reported consistent frequent loss of chromosome 18 in PDAC, which was also identified in the present study.4,6,8 Gain of chromosome 18 has been reported in lymphoproliferative diseases, including acute lymphocytic leukemia, multiple myeloma, and non-Hodgkin’s lymphoma; however, its role in carcinogenesis and clinical significance has yet to be elucidated.30 For pancreatic disease, Miyabe
The present study did not reveal clear associations between chromosomal aberrations and clinicopathologic features, including disease recurrence and patient survival, other than for CEP18 gain, which was more frequent in older patients and those with lymph node metastasis. This may be because this study was performed on small patient populations with relatively short-term follow-up. Moreover, approximately 90% of patients had T3 disease and about 80% had lymph node metastases, which could mask the effects of chromosomal alterations. However, there are some reports of a relationship between chromosomal alterations and clinicopathologic prognostic factors. Gutiérrez
Although EUS-guided cytology and core needle biopsy have been the primary tools for diagnosis of PDAC, they (particularly cytology) have been discredited because of low diagnostic sensitivity. The diagnostic yields of pancreatic EUS-guided fine-needle aspiration and core needle biopsy indicate sensitivities for these techniques of 54% to 96%, and 71% to 99%, respectively, and the present study showed similar sensitivity (76.0%).14,15 The main limitation of cytology is false-negative results in patients with PDAC, which can be attributed to various factors, including difficulties in cytologic interpretation of specimens with inflammatory cells, induced by adjacent chronic pancreatitis or recent instrumentation; paucicellular specimens, which harbor few or no malignant cells; and well-differentiated carcinomas, which are difficult to discern.33 FISH can be used to analyze limited tissue material, including small biopsies, and samples from brushing or aspiration cytology, and has the ability to detect chromosomal alterations common in malignant tumors. This technique has been increasingly used in research and clinical practice for detection of pancreatobiliary malignancy in cytology specimens.17-20
The present study revealed the highest diagnostic accuracy for PDAC (80.0%) of FISH tests positive for 17p deletion or 18q deletion, with a cutoff value of 10.0%, and single probe detection of 17p deletion (cutoff value, 10.0%) had a diagnostic accuracy of 79.3%, with acceptable sensitivity (87.8%) and specificity (58.8%). We also found that these probe sets might be helpful in increasing the preoperative diagnostic accuracy for the patients who were not diagnosed with PDAC with conventional histologic examinations. Over decades, some studies have reported the clinical utility of UroVysion FISH using pancreatobiliary brushing specimens, revealing sensitivity significantly higher than that of conventional cytology for detection of malignancy.17-20 UroVysion FISH has a diagnostic sensitivity of 34% to 58%, which is higher than that of routine cytology (8% to 40%); however, approximately half of patients with malignancy remain undiagnosed by FISH.16-20 However, only a few FISH studies of pancreatobiliary malignancies have used probes other than the UroVysion FISH probe set. Miyabe
This study has some limitations. First, as our sample size was relatively small and FISH analysis was performed with relatively few probe sets, the statistical power may be limited. This may account for the failure to elucidate any correlation between chromosomal alterations and clinicopathologic factors, including disease recurrence and patient survival. Second, this study compared chromosomal alterations of PDAC to those of IPMN. Because one of the aims of this study was to find out the useful FISH probe sets which could aid preoperative histologic diagnosis, we selected the probes directed to the chromosomes which alterations had been reported relatively frequent in PDAC to increase the diagnostic sensitivity, and set IPMN as a control group to identify the discrimination power of selected probes because IPMN might harbor similar chromosomal alterations to PDAC. However, the chromosomal alterations during the PanIN-derived carcinogenesis would be different from that from IPMN-derived pathway. Because we experimented with cryopreserved tissue samples other than paraffin blocks, we could not harvest more premalignant tissue samples of PanIN and IPMN lesions with low to high grade dysplasia, which might make it possible to elucidate the differences of chromosomal alterations during the PanIN- and IPMN-derived pancreatic carcinogenesis. Nevertheless, we believe the commonality and the differences of chromosomal alteration between PDAC and IPMN identified in the present study could provide helpful information about the carcinogenesis of PDAC for conducting future studies. Lastly, this study was performed using tissue samples obtained by surgical resection, which harbored sufficient cells for analysis. This could have resulted in overestimation of diagnostic accuracy. Therefore, further studies are required to apply our findings in clinical practice using limited cytology specimens or small biopsies, and attempts to identify a more specific FISH probe set devoted to detection of chromosomal alterations typical of PDAC are warranted.
In conclusion, chromosomal alterations were frequently identified in both PDACs and IPMNs. PDACs had 17p deletion, 18q deletion, CEP18 deletion, 20q gain, 21q deletion, and 7q gain in more than 70% of patients, and IPMNs had a similar chromosomal aberration pattern; however, IPMNs had a lower positive rate. Gain of chromosome 18 and deletions in 17p and 18q may be involved in the late steps of PDAC carcinogenesis. Although there were no clear clinicopathological associations with chromosomal alterations, deletions at chromosome 17p and 18q may represent excellent diagnostic markers for PDAC.
This study was supported by the Collaborative Genome Program for Fostering New Post-Genome Industry of the National Research Foundation funded by the Ministry of Science and ICT (NRF-2017M3C9A5031597) and the Korean Health Technology R&D Project, Ministry of Health & Welfare (HI14C2640), Republic of Korea.
No potential conflict of interest relevant to this article was reported.
Data analysis and interpretation: C.S.L., K.I., W.K., J.R.K., Y.H. Data acquisition: K.I., Y.H. Drafting the manuscript: C.S.L. Critical revision of the manuscript, study supervision: D.S.L., S.W.K., J.Y.J. Study concept and design: J.Y.J.
Table 1 Cutoff Values for Each FISH Probe
Probe | Cutoff value (%) | ||
---|---|---|---|
Monosomy | Polysomy* | Aneuploidy† | |
7q22/7q36 | 1.0 | 0.0 | 1.0 |
17p13 | 1.0 | 0.0 | 1.0 |
18q21 | 2.0 | 1.0 | 3.0 |
20q12 | 1.0 | 0.0 | 1.0 |
21q22 | 2.0 | 1.0 | 3.0 |
CEP18 | 3.0 | 1.0 | 4.0 |
FISH, fluorescence
*Trisomy cutoff+tetrasomy cutoff;†Monosomy cutoff+polysomy cutoff.
Table 2 Patient Demographic and Clinicopathologic Data
Characteristic | All (n=65) | PDAC (n=48) | IPMN (n=17) | p-value |
---|---|---|---|---|
Age, yr | 65.1±9.7 | 65.9±8.6 | 63.1±12.5 | 0.617 |
Male sex | 43 (66.2) | 31 (64.6) | 12 (70.6) | 0.653 |
Types of operation | 0.136 | |||
PD | 38 (58.5) | 29 (60.4) | 9 (52.9) | |
Distal pancreatectomy | 20 (30.8) | 16 (33.3) | 4 (23.5) | |
Other* | 7 (10.8) | 3 (6.2) | 4 (23.5) | |
CEA, ng/mL | 6.5±22.3 | 7.9±25.9 | 2.8±1.1 | 0.662 |
CA19-9, U/mL | 1,055.0±2,786.1 | 1,396.0±3,151.2 | 32.1±31.9 | <0.001 |
pT† | 0.080 | |||
T1 | 2 (3.7) | 1 (2.1) | 1 (16.7) | |
T2 | 2 (3.7) | 1 (2.1) | 1 (16.7) | |
T3 | 48 (88.9) | 44 (91.7) | 4 (66.7) | |
T4 | 2 (3.7) | 2 (4.2) | 0 | |
pN† | 0.173 | |||
N0 | 14 (25.9) | 11 (22.9) | 3 (50.0) | |
N1 | 40 (74.1) | 37 (77.1) | 3 (50.0) | |
Differentiation† | 0.010 | |||
Well/moderate/poor | 7/36/8 | 7/32/8 | 0/4/0 | |
Unknown | 3 | 1 | 2 | |
Angiolymphatic invasion (+)† | 26 (48.1) | 22 (45.8) | 4 (66.7) | 0.413 |
Perineural invasion (+)† | 44 (81.5) | 41 (85.4) | 3 (50.0) | 0.070 |
Venous invasion (+)† | 31 (57.4) | 28 (58.3) | 3 (50.0) | 1.000 |
Data are presented as mean±SD or number (%).
PDAC, pancreatic ductal adenocarcinoma; IPMN, intraductal papillary mucinous neoplasm; PD, pancreaticoduodenectomy; CEA, carcinoembryonic antigen; CA19-9, carbohydrate antigen 19-9.
*Total pancreatectomy (n=4), subtotal pancreatectomy (n=2), central pancreatectomy (n=1);†The reported pathologic data and statistical analysis of IPMN patients refer to only those with invasive IPMN (n=6).
Table 3 FISH Analysis Results According to Pathologic Diagnosis
Chromosomal alteration | PDAC (n=48) | IPMN (n=17) | p-value |
---|---|---|---|
7q22/7q36 | |||
Monosomy | 14 (29.2) | 3 (17.6) | 0.523 |
Polysomy | 34 (70.8) | 10 (58.8) | 0.363 |
Aneuploidy | 38 (79.2) | 11 (64.7) | 0.326 |
17p13 | |||
Monosomy | 46 (95.8) | 16 (94.1) | 1.000 |
Polysomy | 10 (20.8) | 3 (17.6) | 1.000 |
Aneuploidy | 44 (91.7) | 16 (94.1) | 1.000 |
18q21 | |||
Monosomy | 40 (83.3) | 10 (58.8) | 0.051 |
Polysomy | 10 (20.8) | 3 (17.6) | 1.000 |
Aneuploidy | 39 (81.2) | 10 (58.8) | 0.100 |
20q12 | |||
Monosomy | 27 (56.2) | 10 (58.8) | 0.854 |
Polysomy | 39 (81.2) | 11 (64.7) | 0.191 |
Aneuploidy | 44 (91.7) | 15 (88.2) | 0.648 |
21q22 | |||
Monosomy | 37 (77.1) | 12 (70.6) | 0.744 |
Polysomy | 17 (35.4) | 8 (47.1) | 0.397 |
Aneuploidy | 40 (83.3) | 14 (82.4) | 1.000 |
CEP18 | |||
Monosomy | 39 (81.2) | 16 (94.1) | 0.270 |
Polysomy | 26 (54.2) | 4 (23.5) | 0.029 |
Aneuploidy | 47 (97.9) | 16 (94.1) | 0.458 |
Data are presented as number (%).
FISH, fluorescence
Table 4 Relationships between Clinicopathological Parameters of 48 Pancreatic Cancer Patients and FISH Results
Characteristic | No. | 17p13 monosomy | 18q21 monosomy | CEP18 monosomy | 20q12 polysomy | 21q22 monosomy | 7q36 polysomy | CEP18 polysomy | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
No. (%) | p-value | No. (%) | p-value | No. (%) | p-value | No. (%) | p-value | No. (%) | p-value | No. (%) | p-value | No. (%) | p-value | ||
Age, yr | |||||||||||||||
≤65 | 20 | 19 (95.0) | 1.000 | 17 (85.0) | 1.000 | 18 (90.9) | 0.271 | 17 (85.0) | 0.716 | 17 (85.0) | 0.319 | 13 (65.0) | 0.452 | 7 (35.0) | 0.024 |
>65 | 28 | 27 (96.4) | 23 (82.1) | 21 (75.0) | 22 (78.6) | 20 (71.4) | 21 (75.0) | 21 (67.9) | |||||||
Sex | |||||||||||||||
Male | 31 | 29 (93.5) | 0.533 | 26 (83.9) | 1.000 | 26 (83.9) | 0.701 | 24 (77.4) | 0.460 | 24 (77.4) | 1.000 | 20 (64.5) | 0.320 | 18 (58.1) | 0.464 |
Female | 17 | 17 (100.0) | 14 (82.4) | 13 (76.5) | 15 (88.2) | 13 (76.5) | 14 (82.4) | 8 (47.1) | |||||||
CEA, ng/mL | |||||||||||||||
≤5.0 | 37 | 35 (94.6) | 1.000 | 30 (81.1) | 0.667 | 30 (81.1) | 1.000 | 32 (86.5) | 0.081 | 27 (73.0) | 0.091 | 27 (73.0) | 0.456 | 19 (51.4) | 0.475 |
>5.0 | 10 | 10 (100.0) | 9 (90.0) | 8 (80.0) | 6 (60.0) | 10 (100.0) | 6 (60.0) | 7 (70.0) | |||||||
CA19-9, U/mL | |||||||||||||||
≤37.0 | 10 | 10 (100.0) | 1.000 | 8 (80.0) | 0.666 | 9 (90.0) | 0.661 | 7 (70.0) | 0.370 | 7 (70.0) | 0.675 | 8 (80.0) | 0.701 | 5 (50.0) | 1.000 |
>37.0 | 38 | 36 (94.7) | 32 (84.2) | 30 (78.9) | 32 (84.2) | 30 (78.9) | 26 (68.4) | 21 (55.3) | |||||||
pT | |||||||||||||||
T1/T2 | 2 | 2 (100.0) | 1.000 | 2 (100.0) | 1.000 | 2 (100.0) | 1.000 | 2 (100.0) | 1.000 | 1 (50.0) | 0.410 | 2 (100.0) | 1.000 | 1 (50.0) | 1.000 |
T3/T4 | 46 | 44 (95.7) | 38 (82.6) | 37 (80.4) | 37 (80.4) | 36 (78.3) | 32 (69.6) | 25 (54.3) | |||||||
pN | |||||||||||||||
N0 | 11 | 11 (100.0) | 1.000 | 9 (81.8) | 1.000 | 11 (100.0) | 0.095 | 9 (81.8) | 1.000 | 7 (63.6) | 0.246 | 8 (72.7) | 1.000 | 3 (27.3) | 0.041 |
N1 | 37 | 35 (94.6) | 31 (83.8) | 28 (75.7) | 30 (81.1) | 30 (81.1) | 26 (70.3) | 23 (62.2) | |||||||
Differentiation | |||||||||||||||
Well | 7 | 6 (85.7) | 0.518 | 7 (100.0) | 0.552 | 7 (100.0) | 0.104 | 6 (85.7) | 0.866 | 5 (71.4) | 0.281 | 5 (71.4) | 0.592 | 4 (57.1) | 0.816 |
Moderate | 32 | 31 (96.9) | 26 (81.2) | 26 (81.2) | 25 (78.1) | 26 (81.2) | 21 (65.6) | 17 (53.1) | |||||||
Poor | 8 | 8 (100.0) | 6 (75.0) | 6 (75.0) | 7 (87.5) | 6 (75.0) | 7 (87.5) | 4 (50.0) | |||||||
ALI | |||||||||||||||
(–) | 26 | 26 (100.0) | 0.205 | 22 (84.6) | 1.000 | 20 (76.9) | 0.478 | 21 (80.8) | 1.000 | 19 (73.1) | 0.473 | 20 (76.9) | 0.313 | 15 (57.7) | 0.594 |
(+) | 22 | 20 (90.9) | 18 (81.8) | 19 (86.4) | 18 (81.8) | 18 (81.8) | 14 (63.6) | 11 (50.0) | |||||||
PNI | |||||||||||||||
(–) | 7 | 6 (85.7) | 0.273 | 7 (100.0) | 0.583 | 7 (100.0) | 0.320 | 5 (71.4) | 0.601 | 5 (71.4) | 0.653 | 4 (57.1) | 0.400 | 2 (28.6) | 0.223 |
(+) | 41 | 40 (97.6) | 33 (80.5) | 32 (78.0) | 34 (82.9) | 32 (78.0) | 30 (73.2) | 24 (58.5) | |||||||
Venous invasion | |||||||||||||||
(–) | 20 | 20 (100.0) | 0.504 | 18 (90.0) | 0.440 | 17 (85.0) | 0.716 | 16 (80.0) | 1.000 | 14 (70.0) | 0.488 | 14 (70.0) | 0.915 | 10 (50.0) | 0.624 |
(+) | 28 | 26 (92.9) | 22 (78.6) | 22 (78.6) | 23 (82.1) | 23 (82.1) | 20 (71.4) | 16 (54.2) |
FISH, fluorescence
Table 5 Clinicopathological Differences and FISH Results According to Cancer Recurrence
Characteristic | All (n=48) | No recurrence (n=22) | Recurrence (n=26) | p-value |
---|---|---|---|---|
Age, yr | 65.9±8.6 | 66.4±6.3 | 65.4±10.2 | 0.868 |
Male sex | 31 (64.6) | 15 (68.2) | 16 (61.5) | 0.632 |
Type of operation | 0.867 | |||
PD | 29 (60.4) | 14 (63.6) | 15 (57.7) | |
Distal pancreatectomy | 16 (33.3) | 7 (31.8) | 9 (34.6) | |
Other* | 3 (6.3) | 1 (4.5) | 2 (7.7) | |
CEA, ng/mL | 7.9±25.9 | 12.4±38.3 | 4.2±5.5 | 0.424 |
CA19-9, U/mL | 1,396.0±3,151.2 | 1,682.5±3,577.5 | 1,153.6±2,790.0 | 0.521 |
pT | 0.246 | |||
T1 | 1 (2.1) | 1 (4.5) | 0 | |
T2 | 1 (2.1) | 1 (4.5) | 0 | |
T3 | 44 (91.7) | 19 (86.4) | 25 (96.2) | |
T4 | 2 (4.2) | 1 (4.5) | 1 (3.8) | |
pN | 0.977 | |||
N0 | 11 (22.9) | 5 (22.7) | 6 (23.1) | |
N1 | 37 (77.1) | 17 (77.3) | 20 (76.9) | |
Differentiation | 0.695 | |||
Well/moderate/poor | 7/32/8 | 4/15/3 | 3/17/5 | |
Unknown | 1 | 0 | 1 | |
Angiolymphatic invasion (+) | 22 (45.8) | 9 (40.9) | 13 (50.0) | 0.529 |
Perineural invasion (+) | 41 (81.5) | 19 (86.4) | 22 (84.6) | 1.000 |
Venous invasion (+) | 28 (58.3) | 12 (54.5) | 16 (61.5) | 0.624 |
FISH analysis | ||||
17p13 monosomy (+) | 46 (95.8) | 22 (100.0) | 24 (92.3) | 0.493 |
18q21 monosomy (+) | 40 (83.3) | 21 (95.5) | 19 (73.1) | 0.055 |
CEP18 monosomy (+) | 39 (81.2) | 18 (81.8) | 21 (80.8) | 1.000 |
20q12 polysomy (+) | 39 (81.2) | 18 (81.8) | 21 (80.8) | 1.000 |
21q22 monosomy (+) | 37 (77.1) | 17 (77.3) | 20 (76.9) | 0.977 |
7q36 polysomy (+) | 34 (70.8) | 15 (68.2) | 19 (73.1) | 0.710 |
CEP18 polysomy (+) | 26 (54.2) | 13 (59.1) | 13 (50.0) | 0.529 |
Data are presented as mean±SD or number (%).
FISH, fluorescence
*Total pancreatectomy (n=1), subtotal pancreatectomy (n=2).
Table 6 Parameters for Pancreatic Ductal Adenocarcinoma Diagnosis Using FISH
Diagnostic criteria | Sensitivity (%) | Specificity (%) | Accuracy (%) | Relative risk |
---|---|---|---|---|
All 6 probes (+) | 15.2 | 100.0 | 38.1 | 1.4 |
≥5 Probes (+) | 60.4 | 70.6 | 63.1 | 1.4 |
≥4 Probes (+) | 89.6 | 41.2 | 76.9 | 1.9 |
≥3 Probes (+) | 97.9 | 17.6 | 76.9 | 3.1 |
17p13 (+) | 95.8 | 5.9 | 72.3 | 1.1 |
18q21 (+) | 83.3 | 41.2 | 72.3 | 1.5 |
7q36 (+) | 70.8 | 41.2 | 63.1 | 1.2 |
CEP18 (+) | 54.2 | 76.5 | 60.0 | 1.4 |
20q12 (+) | 81.3 | 35.3 | 69.2 | 1.3 |
21q22 (+) | 77.1 | 29.4 | 64.6 | 1.1 |
17p13 (10%)* (+) | 87.8 | 58.8 | 79.3 | 2.5 |
17p13 (20%)† (+) | 56.3 | 82.4 | 63.1 | 1.5 |
18q21 (10%)* (+) | 60.4 | 88.2 | 67.7 | 1.7 |
18q21 (20%)† (+) | 47.9 | 94.1 | 60.0 | 1.6 |
17p13 and 18q21 (+) | 79.2 | 47.1 | 70.8 | 1.5 |
17p13 (10%)* and 18q21 (+) | 60.4 | 70.6 | 63.1 | 1.4 |
17p13 (10%)* or 18q21 (+) | 97.9 | 29.4 | 80.0 | 4.8 |
17p13 (20%)† and 18q21 (+) | 45.8 | 82.4 | 55.4 | 1.4 |
17p13 and 18q21 (10%)* (+) | 56.3 | 94.1 | 66.2 | 1.7 |
17p13 and 18q21 (20%)† (+) | 45.8 | 94.1 | 58.5 | 1.5 |
17p13 (10%)* and 18q21 (10%)* (+) | 47.9 | 94.1 | 60.0 | 1.6 |
17p13 (10%)* or 18q21 (10%)* (+) | 89.6 | 52.9 | 80.0 | 2.3 |
17p13 (10%)* or 18q21 (20%)† (+) | 85.4 | 58.8 | 78.5 | 2.1 |
17p13 (10%)* or CEP18 (+) | 89.6 | 35.3 | 75.4 | 1.8 |
17p13, 18q21, and CEP18 (+) | 41.7 | 88.2 | 53.8 | 1.4 |
17p13 (10%)*, 18q21 (10%)*, and CEP18 (+) | 22.9 | 100.0 | 43.1 | 1.5 |
17p13 (10%)*, 18q21 (20%)†, and CEP18 (+) | 16.7 | 100.0 | 38.5 | 1.4 |
17p13 (20%)†, 18q21 (10%)*, and CEP18 (+) | 14.6 | 100.0 | 36.9 | 1.4 |
17p13 (20%)†, 18q21 (20%)†, and CEP18 (+) | 8.3 | 100.0 | 32.3 | 1.4 |
17p13 (10%)*, 18q21 (10%)*, or CEP18 (+) | 93.8 | 29.4 | 76.9 | 2.1 |
FISH, fluorescence
*Upper cutoff value, 10%;†Upper cutoff value, 20%.