Literature DB >> 35171259

Prevalence of Germline Sequence Variations Among Patients With Pancreatic Cancer in China.

Lingdi Yin1,2, Jishu Wei1,2, Zipeng Lu1,2, Shimeng Huang1,2, Hao Gao1,2, Jianmin Chen1,2, Feng Guo1,2, Min Tu1,2, Bin Xiao1,2, Chunhua Xi1,2, Kai Zhang1,2, Qiang Li1,2, Junli Wu1,2, Wentao Gao1,2, Kuirong Jiang1,2, Jun Yu3,4,5, Yi Miao1,2.   

Abstract

Importance: A higher incidence of pancreatic cancer has been reported in the Chinese population compared with the White population, but genetic differences are unknown to date. Large-sample germline testing for both familial and sporadic pancreatic cancers has been conducted predominantly in White populations, whereas similar studies in Chinese populations are limited. Objective: To assess the prevalence of germline sequence variations in patients with pancreatic diseases in China. Design, Setting, and Participants: This genetic association study was a case series that included genetic data from patients with pancreatic ductal adenocarcinoma (PDAC) or non-PDAC pancreatic diseases seen at The First Affiliated Hospital of Nanjing Medical University in Nanjing, China, between January 2006 and December 2017 (Nanjing cohort). Comparator group data were obtained for a US cohort from Johns Hopkins Hospital (JHH), a population from East Asia from the Exome Aggregation Consortium (ExAC) database, and the larger population from China from the ChinaMAP database. Data were updated and analyzed in July 2021. Main Outcomes and Measures: Next-generation sequencing technology was used to examine the prevalence of deleterious variations in 59 genes of the included Chinese patients with DNA extracted from peripheral blood samples. The Fisher exact test was used to assess differences among the frequencies of germline variations in the study patients vs the comparator groups.
Results: A total of 1009 patients with PDAC (627 [62.1%] male; mean [SD] age, 62.8 [10.2] years) and 885 with non-PDAC diseases (477 [53.9%] male; mean [SD] age, 52.0 [15.9] years) from the Nanjing cohort were included for genetic analysis; all were Han Chinese individuals. Pathogenic variations were detected in 63 patients with PDAC (6.2%; 95% CI, 4.7%-7.7%). Variations in BRCA2 (odds ratio [OR], 3.2; 95% CI, 1.4-7.7; P = .008) and PALB2 (OR, 5.2; 95% CI, 1.6-17.0; P = .007) were significantly associated with pancreatic risk in the Nanjing cohort. Pathogenic variants of genes associated with homologous recombination DNA damage repair, including ATM, BRCA1/2, PALB2, BRIP1, FANCA, FANCC, RAD51D, and XRCC2, were found in 34 patients with PDAC (3.4%). No Ashkenazi Jewish-specific BRCA2 variation (p.Ser1982fs) was detected. The odds ratio of a SPINK1 variation in patients with PDAC was 3.2 (95% CI, 1.8-5.7; P < .001) in the Nanjing cohort compared with the ExAC cohort. Variations in the pancreatic secretory enzyme genes CPA1 and CPB1 were not detected in the Nanjing cohort. Conclusions and Relevance: In this genetic association study, sporadic pancreatic cancer was associated with pathogenic germline variations in a cohort from China. These findings provide insights into the genetic background of pancreatic cancer in the Han Chinese population with PDAC.

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Year:  2022        PMID: 35171259      PMCID: PMC8851306          DOI: 10.1001/jamanetworkopen.2021.48721

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


Introduction

Pancreatic cancer is a deadly disease with poor prognoses. There are approximately 95 000 new cases of pancreatic ductal adenocarcinoma (PDAC) per year in China, making it the sixth leading cause of cancer-related death in China.[1] Despite improvements in surgical and systemic treatment, the 5-year survival rate remains only 9%.[1] In its early stages, pancreatic cancer is largely asymptomatic, and approximately 80% of patients are not diagnosed until the cancer has reached an advanced stage that limits therapeutic options.[2] Therefore, the early detection of pancreatic cancer is essential to improvement in its prognosis. Pathogenic germline sequence variations in patients with pancreatic cancer mainly occur in patients with familial pancreatic cancer; however, only approximately 10% of patients with pancreatic cancer have an associated family history.[3] Carriers of variations may have access to more targeted drugs for cancer-associated genes.[4] Previous studies[5,6] showed that BRCA carriers from the US, mainly White individuals with the BRCA1/2 variation with sporadic PDAC, had worse survival after pancreatectomy than did their counterparts with wild-type BRCA. These BRCA1/2 carriers also had markedly improved survival if treated with platinum-based chemotherapy.[5,6] In addition, the Pancreas Cancer Olaparib Ongoing trial[7] showed that patients with metastatic cancer who had germline BRCA1/2 variations tended to have improved progression-free survival when treated with maintenance olaparib after first-line platinum-based chemotherapy. A study[8] in 2019 showed that native Hawaiian (relative risk [RR], 1.60; 95% CI, 1.30-1.98), Japanese American (RR, 1.33; 95% CI, 1.15-1.54), and African American (RR, 1.20; 95% CI, 1.01-1.42) individuals had a higher risk of developing PDAC compared with non-Hispanic White individuals in the US. However, the reports of germline variants for PDAC were mostly from the non-Hispanic White population. The prevalence of germline variations in the Chinese population and racial and ethnic disparities of germline variations between Chinese patients and the US population are unknown. We conducted a study using targeted next-generation sequencing technology to assess the prevalence of deleterious variations in Chinese patients and explored whether there were differences in sequence variations associated with pancreatic cancer between the Nanjing cohort and cohorts from the US, East Asia, and a larger sample from China.

Methods

Patients and Specimens

This genetic association study included patients seen at the Pancreas Center of The First Affiliated Hospital of Nanjing Medical University in Nanjing, China, between January 2006 and December 2017. All peripheral blood samples for DNA extraction were collected and stored in the center’s Pancreas Biobank after written informed consent was obtained from participants.[9] Samples were collected preoperatively in the operation room or at the clinic visit. All the available samples in the Pancreas Biobank during the study period were included. All patients in the Nanjing cohort were from the Han Chinese population. Personal and family history was obtained from medical records. This study was approved by the institutional review board at The First Affiliated Hospital of Nanjing Medical University and followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) and Strengthening the Reporting of Genetic Association Studies (STREGA) reporting guidelines.

DNA Isolation

According to the manufacturer’s instructions, genomic DNA was extracted from the peripheral blood samples obtained from all patients using the QIAamp DNA Mini Kit (QIAGEN). The DNA samples were quantified using Qubit assay kits and a Qubit fluorometer (ThermoFisher Scientific).

Targeted DNA Sequencing

Fifty-nine genes were sequenced using a 59-gene AmpliSeq custom panel (ThermoFisher Scientific). Next-generation sequencing was performed using the Ion GeneStudio S5 System (ThermoFisher Scientific) according to the manufacturer’s protocol. These genes were either known pancreatic cancer susceptibility genes, known cancer susceptibility genes, or candidate pancreatic cancer susceptibility genes. Sixteen of these genes (ARID1A, ATM, BRCA1/2, PALB2, BRIP1, ERCC4, FANCA, FANCC, FANCG, FANCL, FANCJ, RAD51C, RAD51D, RECQL4, XRCC2, and XRCC3) are associated with the homologous recombination DNA damage repair (HR-DDR) pathway. Pancreatitis-associated genes were also included. Amplicon coverage is shown in eTable 1 in the Supplement. Next-generation sequencing details are described in the eAppendix in the Supplement. Deleterious variations were compared with those in the ChinaMAP database,[10] which included whole-genome sequencing data for 10 588 individuals from the population of China.[11]

Sanger Sequencing

We downloaded the target sequence from the University of California, Santa Cruz, Genome Browser,[12] inputted the target sequence into Primer Premier 5 software (PREMIER Biosoft), and selected the appropriate and synthesized primers for the Sanger sequencing. All deleterious variations were confirmed and validated by the ABI3730 sequencer (ThermoFisher Scientific). The Sanger sequencing primer list is shown in eTable 2 in the Supplement.

Statistical Analysis

Analyses were conducted using SPSS, version 21.0 (IBM). The 95% CIs for the percentages of samples with a germline variation were calculated with the modified Wald method. Because of the small number of patients with germline variations, we used the Fisher exact test to assess the difference between the frequencies of germline variations in the study patients and in individuals without cancer in the population from East Asia in the Exome Aggregation Consortium (ExAC)[13] database, US patients with sporadic PDAC from Johns Hopkins Hospital (JHH),[5] and individuals without pancreatic cancer from the population of China from the ChinaMAP database. Odds ratios (ORs), SEs, and 95% CIs were calculated according to Altman.[14] In the JHH cohort,[5] patients with a pathologic diagnosis of PDAC were sequenced with a germline panel via the same platform used in this study. A cohort with pancreatic cancer from The Cancer Genome Atlas (TCGA) with sequence variation data was also used as comparison group. Two-tailed P < .05 was considered to be statistically significant. Bonferroni correction was used when multiple testing was performed. Data were updated and analyzed in July 2021.

Results

Patient Characteristics

In the Nanjing cohort, 1009 patients were diagnosed with PDAC (627 [62.1%] male; mean [SD] age, 62.8 [10.2] years) and 885 patients were diagnosed with non-PDAC diseases (477 [53.9%] male; mean [SD] age, 52.0 [15.9] years), including pancreatic neuroendocrine tumors (119 [13.4%]), gastrointestinal stromal tumors (11 [1.2%]), acute (355 [37.8%]) or chronic pancreatitis (98 [11.1%]), intraductal papillary mucinous neoplasms (IPMNs) (70 [7.9%]), mucinous cystic neoplasms (44 [5.0%]), serous cystic neoplasms (32 [3.6%]), solid pseudopapillary tumors (56 [6.3%]), ampullary carcinoma (31 [3.5%]), cholangiocarcinoma (35 [3.9%]), and duodenal adenocarcinoma (34 [3.8%]) (Table 1). Only 9 of the patients with PDAC (0.9%) had at least 1 first-degree relative diagnosed with pancreatic cancer, and 1000 patients (99.1%) had sporadic pancreatic cancer. Thirty-two patients (3.2%) had a history of other tumors, such as breast, prostate, or colon cancer.
Table 1.

Characteristics of Patients in the Nanjing and JHH Cohorts

CharacteristicNanjing cohortJHH cohort
Patients with PDAC (n = 1009)Patients with non-PDAC diseases (n = 885)Patients who underwent pancreatectomy (n = 939) Patients with PDAC (n = 854)Patients with non-PDAC diseases (n = 339)
Age, y
Mean (SD)62.8 (10.2)52.0 (15.9)NA65.0 (10.9)60.1 (14.1)
Median (range)65 (16-82)65 (10-85)NANANA
Sex
Female382 (37.9)408 (46.1)NA399 (46.7)158 (46.6)
Male627 (62.1)477 (53.9)NA455 (53.3)181 (53.4)
Disease
PDAC690 (68.4)NANA854 (100)NA
Acute pancreatitisNA355 (37.8)0NANA
Chronic pancreatitisNA98 (11.1)65 (6.9)NANA
Ampullary carcinomaNA31 (3.5)29 (3.1)NANA
CholangiocarcinomaNA35 (3.9)26 (2.8)NA47 (13.9)
Duodenal adenocarcinomaNA34 (3.8)32 (3.4)NA54 (15.9)
Pancreatic neuroendocrine tumorNA119 (13.4)112 (11.9)NANA
Gastrointestinal stromal tumorNA11 (1.2)9 (1.0)NANA
Intraductal papillary mucinous neoplasmNA70 (7.9)67 (7.1)NANA
Mucinous cystic neoplasmNA44 (5.0)43 (4.6)NANA
Serous cystic neoplasmNA32 (3.6)28 (3.0)NANA
Solid pseudopapillary tumorNA56 (6.3)56 (6.0)NA4 (1.2)
History of other cancers32 (3.2)14 (1.6)NANANA
First-degree relative with pancreatic cancer9 (0.9)0NA77 (9.0)NA

Abbreviations: JHH, Johns Hopkins Hospital; NA, not available; PDAC, pancreatic ductal adenocarcinoma.

Data are presented as the number (percentage) of individuals unless otherwise indicated.

Abbreviations: JHH, Johns Hopkins Hospital; NA, not available; PDAC, pancreatic ductal adenocarcinoma. Data are presented as the number (percentage) of individuals unless otherwise indicated.

Deleterious Sequence Variations in Chinese Patients With PDAC

In the Nanjing cohort, deleterious variations were detected in 63 patients with PDAC (6.2%; 95% CI, 4.7%-7.7%) (Figure, A). Deleterious variations associated with cancer according to the ClinVar database of the National Center for Biotechnology Information[15] were detected in 35 patients (3.5%; 95% CI, 2.3%-4.6%) (Figure, A, and Table 2). Variations of pancreatic cancer susceptibility genes were detected in 24 patients (2.4%; 95% CI, 1.4%-3.3%). These variants included 9 BRCA2 variations (0.9%). No Ashkenazi Jewish–specific BRCA2 variations (p.Ser1982fs) were detected. BRCA1 variations were detected in 3 patients (0.3%); the total number of BRCA variation carriers was 12 (1.2%). ATM variations were detected in 5 patients (0.5%). PALB2 variations were detected in 6 patients (0.6%). The prevalence of variations in HR-DDR pathway–related genes (ATM, BRCA1/2, PALB2, BRIP1, FANCA, FANCC, RAD51D, and XRCC2) was 3.4% (34 patients) (Table 3). Another gene with a variation, TP53, was detected in 1 patient with PDAC (0.1%). In addition, variations in the pancreatitis-related genes CFTR (8 cases [0.8%]) and SPINK1 (21 cases [2.1%]) were frequent in patients with PDAC (Table 2). All SPINK1 variations were c.194 + 2T>C. The recurrent variations in the CFTR gene included p.Arg74Trp (2 cases [0.2%]) and p.Gly970Asp (3 cases [0.3%]). Most of these variations were absent or rare in the 10 588 individuals in the ChinaMap cohort (6864 [64.8%] male; mean age, 54.2 years); for example, only 114 patients [1.1%] in the ChinaMap cohort had a SPINK1 c.194 + 2T>C variation (eTable 3 in the Supplement). Numerous variants of uncertain significance were also identified in the ChinaMap cohort (eTable 4 in the Supplement).
Figure.

Distribution of Pathogenic Germline Variants Across Genes in Patients With Pancreatic Ductal Adenocarcinoma (PDAC) and With Non-PDAC Diseases

ClinVar indicates the pathogenic classification according to the ClinVar database.[15] AP, acute pancreatitis; CP, chronic pancreatitis; IPMN, intraductal papillary mucinous neoplasm; PNET, pancreatic neuroendocrine tumor; SCN, serous cystic neoplasm; and SPT, solid pseudopapillary tumor.

Table 2.

Cancer-Associated Germline Sequence Variations in Patients With PDAC in the Nanjing Cohort

Case IDChromosome positionSexAge, yGeneAmino acid changeNucleotide changeFunctionClinVaraPersonal history of other diseaseFamily history of cancer
P1720chr11:108106561Female71 ATM p.Glu166Glnc.496G>CMissensePathogenicNegativeNegative
P0251chr11:108153468Female65 ATM p.Tyr1203Terc.3609delTNonsensePathogenicNegativeNegative
P1659chr11:108170440Male51 ATM Splicec.5006-1G>ANoncodingLikely pathogenicNegativeNegative
P2296chr11:108178646Male64 ATM p.Cys1899Terc.5697C>ANonsensePathogenicNegativeNegative
P2281chr11:108186639Female60 ATM Splicec.6095 + 1G>ANoncodingLikely pathogenicNegativeNegative
P0537chr17:41197809Female66 BRCA1 p.Ile1845fsc.5533_5540delATTGGGCAFrameshiftPathogenicBreast cancer, lymphomaNegative
P2289chr17:41219625Male66 BRCA1 p.Asp1713Asnc.5137G>AMissenseLikely pathogenicNegativeNegative
P1565chr17:41245390Male47 BRCA1 p.Glu720fsc.2157_2158insAFrameshiftPathogenicNegativeNegative
P0907chr13:32900280Male70 BRCA2 p.Lys157fsc.470_474delAGTCAFrameshiftPathogenicNegativeNegative
P1473chr13:32906915Male55 BRCA2 p.Lys437fsc.1310_1313delAAGAFrameshiftPathogenicNegativeNegative
P2349chr13:32907029Male51 BRCA2 p.Gln472Terc.1414C>TNonsensePathogenicNegativeNegative
P0418chr13:32907371Female74 BRCA2 p.Lys586Terc.1756A>TNonsensePathogenicLung cancerNegative
P1449chr13:32911228Male61 BRCA2 p.Thr915fsc.2743_2747delACTTGFrameshiftPathogenicNegativeNegative
P0796chr13:32912337Male40 BRCA2 p.Val1283fsc.3847_3848delGTFrameshiftPathogenicNegativeNegative
P1579chr13:32914102Female63 BRCA2 p.Lys1872fsc.5616_5620delAGTAAFrameshiftPathogenicOvarian cancerNegative
P0703chr13:32921033Male61 BRCA2 p.Arg2336Hisc.7007G>AMissensePathogenicNegativeNegative
P2247chr13:32944538Male64 BRCA2 Splicec.8332-1G>TNoncodingLikely pathogenicNegativeNegative
P2372chr16:23614914Male48 PALB2 p.Leu1143fsc.3426_3427insAFrameshiftPathogenicNegativeNegative
P0375chr16:23619181Female67 PALB2 Splicec.3350 + 4A>GNoncodingPathogenicNegativeNegative
P1670chr16:23635403Male66 PALB2 p.Gln921fsc.2760_2761insAFrameshiftPathogenicNegativeNegative
P1649chr16:23641218Male77 PALB2 p.Arg753Terc.2257C>TNonsensePathogenicNegativeNegative
P0757chr16:23641306Female69 PALB2 p.Met723fsc.2167_2168delATFrameshiftPathogenicNegativeNegative
P0732chr16:23646660Male56 PALB2 p.Leu403fsc.1206delTFrameshiftPathogenicNegativeNegative
P0214chr17:7577545Male42 TP53 p.Met246Valc.736A>GMissenseLikely pathogenicNegativeNegative
P0493chr17:33428225Male68 RAD51D p.Arg320Terc.958C>TNonsenseLikely pathogenicNegativeFather with pancreatic cancer
P0774chr17:33430317Female80 RAD51D p.Arg252Terc.754C>TNonsensePathogenicColon polypsNegative
P1831chr17:33434458Male68 RAD51D p.Lys111fsc.331_332insTAFrameshiftPathogenicNegativeNegative
P0417chr17:59857633Female75 BRIP1 p.Asn643fsc.1923delTFrameshiftPathogenicNegativeNegative
P0437chr17:59858254Male59 BRIP1 p.Arg581Terc.1741C>TNonsensePathogenicNegativeNegative
P0581chr17:59858254Female69 BRIP1 p.Arg581Terc.1741C>TNonsensePathogenicNegativeNegative
P2568chr17:59878688Female60 BRIP1 p.Arg356Terc.1066C>TNonsensePathogenicNegativeNegative
P0519chr16:89833603Male57 FANCA p.Ser849fsc.2546delCFrameshiftPathogenicNegativeNegative
P1545chr16:89866028Male49 FANCA p.Gln271Terc.811C>TNonsensePathogenicNegativeNegative
P0763chr9:98002929Male77 FANCC Splicec.345 + 2GT>TNoncodingLikely pathogenicEsophageal cancerNegative
P0437chr9:98002937Male59 FANCC p.Trp113Terc.339G>ANonsenseLikely pathogenicNegativeNegative
P1410chr7:152346380Male68 XRCC2 p.Arg64Terc.190C>TMissensePathogenicNegativeNegative
P0201chr5:147207583Male51 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P0212chr5:147207583Male57 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P0322chr5:147207583Male68 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P0328chr5:147207583Male73 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P0357chr5:147207583Male54 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicChronic pancreatitisNegative
P0572chr5:147207583Male75 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P0727chr5:147207583Male77 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P0754chr5:147207583Male56 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P0907chr5:147207583Male70 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1048chr5:147207583Male65 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1435chr5:147207583Female41 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1439chr5:147207583Male54 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1501chr5:147207583Male65 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeFather with gastric cancer
P1513chr5:147207583Female57 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1536chr5:147207583Female77 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1555chr5:147207583Male72 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1610chr5:147207583Male59 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1732chr5:147207583Male61 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P2209chr5:147207583Male69 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P2519chr5:147207583Male78 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P2556chr5:147207583Male64 SPINK1 Splicec.194 + 2T>CNoncodingPathogenicChronic pancreatitisFather with lung cancer
P1689chr7:117149143Female70 CFTR p.Arg74Trpc.220C>TMissenseLikely pathogenicNegativeNegative
P2293chr7:117149143Male49 CFTR p.Arg74Trpc.220C>TMissenseLikely pathogenicNegativeNegative
P1714chr7:117232086Male55 CFTR p.Gly622Aspc.1865G>AMissensePathogenicNegativeNegative
P1674chr7:117246728Male73 CFTR p.Gly970Aspc.2909G>AMissenseLikely pathogenicNegativeNegative
P1677chr7:117246728Male77 CFTR p.Gly970Aspc.2909G>AMissenseLikely pathogenicNegativeNegative
P2370chr7:117246728Male74 CFTR p.Gly970Aspc.2909G>AMissenseLikely pathogenicLymphosarcomaNegative
P0533chr7:117251704Male73 CFTR p.Arg1070Glnc.3209G>AMissensePathogenicNegativeNegative
P1681chr7:117254665Male66 CFTR Splicec.3368-2A>GNoncodingPathogenicNegativeNegative

Abbreviation: PDAC, pancreatic ductal adenocarcinomas.

Pathogenic classification according to the ClinVar database.[15]

Table 3.

Prevalence of Sequence Variations Among Patients With PDAC in the Nanjing Cohort and Individuals Without Cancer in the ExAC Cohort

GeneNanjing cohort (n = 1009)ExAC population (n = 4327)Nanjing cohort vs ExAC population, OR (95% CI)P value
Individuals with variation, No. (%)Individuals sequenced, No.Individuals with variation, No. (%)Individuals sequenced, No., meanb
Hereditary cancer genes35 (3.5)c100994 (9.3)41541.6 (1.0-2.3).03
Pancreatic cancer susceptibility genes24 (2.4)100940 (1.0)41542.5 (1.5-4.2)<.001d
HR-DDR genes34 (3.4)c100979 (1.7)41541.8 (1.2-2.7)<.001
ATM 5 (0.5)100916 (0.4)43131.3 (0.5-3.7).57
BRCA1 3 (0.3)10096 (0.1)43172.1 (0.5-8.1).28
BRCA2 9 (0.9)100912 (0.3)43053.2 (1.4-7.7).008
BRIP1 4 (0.4)100918 (0.4)41980.7 (0.2-2.4).56
FANCA 2 (0.2)100910 (0.2)41190.8 (0.2-3.7).79
FANCC 2 (0.2)10091 (0.02)43218.6 (0.8-94.6).08
PALB2 6 (0.6)10095 (0.1)43215.2 (1.6-17.0).007
RAD51D 3 (0.3)100911 (0.3)43211.2 (0.3-4.2).81
XRCC2 1 (0.1)10090 (0)428812.8 (0.5-313.2).19
SPINK1 21 (2.1)100926 (0.7)39583.2 (1.8-5.7)<.001d
CFTR 8 (0.8)10096 (0.1)42665.7 (2.0-16.4).001d
TP53 1 (0.1)10091 (0.03)31223.1 (0.2-49.5).42

Abbreviations: ExAC, Exome Aggregation Consortium; HR-DDR, homologous recombination DNA damage repair; OR, odds ratio; PDAC, pancreatic ductal adenocarcinoma.

All patients in the Nanjing cohort were from the Han Chinese population, and patients in the ExAC cohort were from East Asia.

The number of individuals sequenced varied for different loci.

One patient with 2 variants was included as 1 observation.

Remained significant at P < .003 if Bonferroni correction was used.

Distribution of Pathogenic Germline Variants Across Genes in Patients With Pancreatic Ductal Adenocarcinoma (PDAC) and With Non-PDAC Diseases

ClinVar indicates the pathogenic classification according to the ClinVar database.[15] AP, acute pancreatitis; CP, chronic pancreatitis; IPMN, intraductal papillary mucinous neoplasm; PNET, pancreatic neuroendocrine tumor; SCN, serous cystic neoplasm; and SPT, solid pseudopapillary tumor. Abbreviation: PDAC, pancreatic ductal adenocarcinomas. Pathogenic classification according to the ClinVar database.[15] Abbreviations: ExAC, Exome Aggregation Consortium; HR-DDR, homologous recombination DNA damage repair; OR, odds ratio; PDAC, pancreatic ductal adenocarcinoma. All patients in the Nanjing cohort were from the Han Chinese population, and patients in the ExAC cohort were from East Asia. The number of individuals sequenced varied for different loci. One patient with 2 variants was included as 1 observation. Remained significant at P < .003 if Bonferroni correction was used. The cohort from TGCA included 150 patients with PDAC. In the TCGA cohort, the most common genes with variations were BRCA2, ATM, and CHEK2 (eFigure in the Supplement). There was no overlap for BRCA2 germline variants among the JHH, TGCA, and Nanjing cohorts (eFigure in the Supplement). These variations were also investigated in the healthy individuals from the ChinaMap database; most were not detected (eTable 3 in the Supplement). Advanced disease stage, tumor location, younger age, and sex were not associated with germline variations (eTable 5 in the Supplement). Of note, only 13 of the 59 genes (22.0%) were detected with deleterious variations in the 1009 patients in the Nanjing cohort. Variation-free genes in the panel included known pancreatic cancer susceptibility genes, such as CDKN2A, MLH1, MSH2, PRSS1, and STK11; candidate pancreatic cancer susceptibility genes, such as FANCG, FANCL, RECQL4, XRCC3, ERCC4, TERT, BRIP1, BAP1, BUB1, BUB3, and RNF43; and most of the pancreatitis-associated genes except SPINK1 and CFTR.

Prevalence of Deleterious Sequence Variations in Patients With PDAC and non-PDAC in the Nanjing Cohort and the JHH Cohort and Patients Without Cancer in the ExAC Cohort

The JHH cohort included 854 patients with PDAC (455 [53.3%] male; mean (SD) age, 65.0 [10.9] years) and 339 patients with non-PDAC diseases (181 [53.4%] male; mean [SD] age, 60.1 [14.1] years); the ExAC cohort included 4327 patients without cancer from East Asia (demographic data not available). The odds of germline deleterious variations involving BRCA2, PALB2, SPINK1, and CFTR were significantly greater in patients with pancreatic cancer in the Nanjing cohort than in those without pancreatic cancer from the ExAC cohort (control) (BRCA2: OR, 3.2 [95% CI, 1.4-7.7; P = .008]; PALB2: OR, 5.2 [95% CI, 1.6-17.0; P = .007]; SPINK1: OR, 3.2 [95% CI, 1.8-5.7; P < .001]; and CFTR: 5.7 [95% CI, 2.0-16.4; P = .001]) (Table 3); the odds of SPINK1 and CFTR stayed significant after Bonferroni correction. Prevalence of variations in pancreatic cancer susceptibility genes, hereditary cancer genes, and HR-DDR pathway–related genes in the Nanjing cohort was significantly higher than that in the ExAC cohort (Table 3). Comparing the pathogenic germline variations found in this study with those in the JHH cohort, we found no significant difference in the prevalence of germline pathogenic variations in most of the genes between the 2 cohorts (eTable 6 in the Supplement). The germline variation rate of PALB2 was more prevalent in the Nanjing cohort compared with the JHH cohort (6 of 1009 [0.6%] vs 2 of 854 [0.2%]), but the difference was not significant. Of note, sequence variations in the pancreatic secretory enzyme genes CPA1 and CPB1 were not detected in the Nanjing cohort.

Deleterious Sequence Variations in Patients With Non-PDAC Diseases in the Nanjing Cohort

Among patients with non-PDAC diseases in the Nanjing cohort (Table 4, Figure, B, and eTable 7 in the Supplement), 20 of 98 patients with chronic pancreatitis (20.4%) were found to have pathogenic germline variations, including 18 patients (18.4%) with a recurrent variation of SPINK1 c.194 + 2T>C, 1 patient (1.0%) with both SPINK1 c.194 + 2T>C and BRIP1 p.Leu43fs variations, and 1 patient (1.0%) with a PRSS1 p.Arg122His variation. Four patients (4.1%), 3 (3.1%) with a SPINK1 c.194 + 2T>C variation and 1 (1.0%) with a PRSS1 p.Arg122His variation, experienced multiple recurrent pancreatitis episodes after surgical resection for chronic pancreatitis. Germline pathogenic variations were detected in 15 of 355 patients with acute pancreatitis (4.2%), including a recurrent variation of SPINK1 c.194 + 2T>C in 11 patients (3.1%), CFTR variations (p.Arg74Trp and p.Gly970Asp) in 2 patients (0.6%), and cancer susceptibility gene variations (MLH1 p.Ser577 = and ATM p.Phe2558fs) in 2 patients (0.6%). The patient with an MLH1 p.Ser577 = variation had a history of colorectal cancer, and the patient with an ATM p.Phe2558fs variation had a history of gastric cancer. None of these patients had a family history of pancreatitis. In addition, 2 of 70 patients with IPMN (2.8%) had cancer-related variations, and both were splice-site variations (RECQL4 c.2755 + 1G>A and ATM c.3576 + 1G>A). Of note, the patient with IPMN who had an ATM variation (c.3576 + 1G>A) was found to have an invasive carcinoma 9 years after initial surgical resection. A cancer-associated variation (BRCA1 p.Lys1290fs) was detected in 1 of 119 patients with pancreatic neuroendocrine tumors (0.8%), and this patient was diagnosed at the age of 13 years. Variations were detected in 2 patients (6.3%) with serous cystic neoplasms (BRCA2 p.Tyr1655Ter and CFTR c.580-1G>T). Cancer-associated germline variations, namely ATM p.Lys468fs and PALB2 c.2835-1G>C, were detected in 2 of 56 patients with solid pseudopapillary tumors (3.6%). The ChinaMAP database showed that most variations in patients with non-PDAC diseases were not detected in healthy Chinese individuals.
Table 4.

Germline Sequence Variations in Patients With Non-PDAC Diseases in the Nanjing Cohort

Case IDSexAge, yDiseaseGeneChromosome positionAmino acid changeNucleotide changeFunctionClinVaraHistory of other diseaseFamily history of cancer
P1864Female67IPMNb ATM chr11:108151896Splicec.3576 + 1G>ANoncodingLikely pathogenicNegativeNegative
P1056Male70IPMN RECQL4 chr8:145738229Splicec.2755 + 1G>ANoncodingPathogenicRectal cancerFather with liver cancer
P1067Male48IPMN SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P2558Male27IPMN SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P0871Male64AP ATM chr11:108202643p.Phe2558fsc.7671_7674delGTTTFrameshiftPathogenicGastric cancerNegative
P1313Male27AP CFTR chr7:117149143p.Arg74Trpc.220C>TMissenseLikely pathogenicNegativeNegative
P1277Male37AP CFTR chr7:117246728p.Gly970Aspc.2909G>AMissenseLikely pathogenicNegativeNegative
P1290Female42AP MLH1 chr3:37083822p.Ser577 = c.1731G>ASynonymousPathogenicColorectal cancerNegative
P0862Female55AP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1122Male36AP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1221Female29AP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1249Female24AP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1265Male20AP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1271Male51AP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1277Male37AP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1280Male73AP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1783Male34AP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P2494Female30AP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P2509Male44AP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P2453Male49CP BRIP1 chr17:59937230p.Leu43fsc.128_131delTGTTFrameshiftPathogenicNegativeNegative
P0811Male31CP PRSS1 chr7:142459789p.Arg122Hisc.365G>AMissensePathogenicNegativeNegative
P0802Female55CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P0808Male53CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P0810Female38CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P0814Male56CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P0815Female62CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P0829Male13CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1014Female27CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1018Female44CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1021Male52CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1029Male37CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1036Female41CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1045Female62CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1046Female15CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1632Male75CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1806Male55CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1811Female52CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P1993Male39CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P2453Male49CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P2512Female68CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P2545Female75CP PALB2 chr16:23625413Splicec.3114-1G>ANoncodingLikely pathogenicNegativeNegative
P0626Female54CP SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative
P2445Female13PNET BRCA1 chr17:41243677p.Lys1290fsc.3869_3870delAAFrameshiftPathogenicNegativeNegative
P1124Male45PNET CFTR chr7:117246728p.Gly970Aspc.2909G>AMissenseLikely pathogenicNegativeNegative
P1862Female35SCN BRCA2 chr13:32913456p.Tyr1655Terc.4965delCNonsensePathogenicNegativeNegative
P2592Male53SCN CFTR chr7:117175301Splicec.580-1G>TNoncodingPathogenicNegativeNegative
P0980Female36SPT ATM chr11:108121593p.Lys468fsc.1402_1403delAAFrameshiftPathogenicNegativeNegative
P1924Male22SPT PALB2 chr16:23634452Splicec.2835-1G>CNoncodingLikely pathogenicNegativeNegative
P1119Female39SPT SPINK1 chr5:147207583Splicec.194 + 2T>CNoncodingPathogenicNegativeNegative

Abbreviations: AP, acute pancreatitis; CP, chronic pancreatitis; IPMN, intraductal papillary mucinous neoplasm; PDAC, pancreatic ductal adenocarcinomas; PNET, pancreatic neuroendocrine tumor; SCN, serous cystic neoplasm; SPT, solid pseudopapillary tumor.

Pathogenic classification according to the ClinVar database.[15]

This patient was diagnosed with IPMN, underwent resection, and developed an invasive cancer during surveillance.

Abbreviations: AP, acute pancreatitis; CP, chronic pancreatitis; IPMN, intraductal papillary mucinous neoplasm; PDAC, pancreatic ductal adenocarcinomas; PNET, pancreatic neuroendocrine tumor; SCN, serous cystic neoplasm; SPT, solid pseudopapillary tumor. Pathogenic classification according to the ClinVar database.[15] This patient was diagnosed with IPMN, underwent resection, and developed an invasive cancer during surveillance.

Discussion

To our knowledge, this study is the first to provide a large sample of data on germline variations in a Chinese population with sporadic pancreatic cancer. Germline deleterious variations in cancer susceptibility genes, known pancreatic cancer susceptibility genes, and HR-DDR pathway–related genes were found in the study cohort. Rates of deleterious variations in patients with PDAC were significantly higher than those in patients without pancreatic cancer from the ExAC and ChinaMAP databases. In addition to pancreatic cancer, this study also reported germline variations in patients with noncancer pancreatic diseases such as pancreatic neuroendocrine tumors, pancreatitis, and pancreatic cystic tumors; to our knowledge, this is the first study in which most of these data have been reported. Among the HR-DDR genes, the genes that most frequently have variations include ATM, BRCA1/2, and PALB2.[6] Germline variations in the BRCA1/2 genes may cause double-strand DNA damage repair deficiency and are associated with risk for pancreatic cancer.[16] The Pancreas Cancer Olaparib Ongoing trial[7] detected BRCA1/2 variations in 2167 patients with metastatic pancreatic cancer. The prevalence of variations was higher among Black individuals (10.7%) than among White individuals (6.1%), Asian individuals (5.0%), and individuals of other racial and ethnic groups (1.6%), indicating racial and ethnic differences in the variations associated with pancreatic cancer. Studies by Chang et al[17] and Grant et al[18] showed that no significant BRCA2 susceptibility was found in the population of China after comparing the variations of pancreatic cancer susceptibility genes with those obtained from a large sample study in Europe using a whole-exome association analysis. Studies[19,20,21] from Japan and South Korea have shown the importance of genetic testing for pancreatic cancer, but the sample sizes were small (<100 patients). The present study provides data on germline variations of BRCA1/2 and HR-DDR genes in a large sample of Han Chinese patients with pancreatic cancer. Of interest, no Ashkenazi Jewish–specific BRCA2 variation (p.Ser1982fs) was found in this cohort, which suggests that the BRCA variation is associated with race and ethnicity, similar to the findings of another study.[22] In the JHH cohort,[5] BRCA2 and ATM variations were associated with higher pancreatic cancer risk in the US population, whereas BRCA2 and PALB2 variations were significantly associated with pancreatic cancer risk in the Nanjing cohort. SPINK1 and CFTR variations were also associated with higher risk of PDAC among the Chinese population, whereas variations of these 2 genes were not associated with pancreatic cancer in patients in a study from Germany.[23] Another study[24] from JHH showed that variations in the pancreatic secretory enzyme genes CPA1 and CPB1 were associated with pancreatic cancer, whereas no variations of these 2 genes were detected in the Nanjing cohort. Of importance, variations in the Nanjing cohort and JHH cohort in this study were detected with the same sequencing platform and strategy, which enhanced the credibility of the findings. A retrospective study[6] showed that patients with pancreatic cancer who had germline variations in BRCA1/2 were more sensitive to platinum-based chemotherapy. A follow-up study of that cohort showed that a deleterious variant in DNA-damage-repair genes was associated with improved survival after resection and adjuvant chemotherapy for pancreatic ductal adenocarcinoma.[25] Olaparib is a poly(adenosine diphosphate ribose) polymerase inhibitor that interferes with DNA repair in tumor cells and is more effective in patients with BRCA variations with homologous recombination repair deficiency.[26] The Pancreas Cancer Olaparib Ongoing trial[7] showed that olaparib substantially improved disease-free survival among patients with BRCA variations who had PDAC that did not progress after platinum-based first-line chemotherapy. Our study may provide a foundation for the treatment of Chinese patients who have germline variations in the HR-DDR pathway and may be used as a reference for further clinical research and clinical trials of personalized medicine for patients with pancreatic cancer. Our findings suggest that patients with sporadic pancreatic cancer in whom germline variations are detected should undergo familial surveillance and screening. In this study, patients who had a germline variation had a higher incidence of sporadic pancreatic cancer. In addition, genes that were not detected with variations were also of importance when considering cost-effectiveness during the panel design. Large-panel germline testing for sporadic PDACs in Chinese patients should be reconsidered. Our study also showed deleterious germline variants in patients with noncancer pancreatic diseases. Variations were detected in pancreatic cystic tumors, including IPMNs (ATM, RECQL4, and SPINK1), serous cystic neoplasms (BRCA2 and CFTR), and solid pseudopapillary tumors (ATM, PALB2, and SPINK1). Skaro et al[27] reported that deleterious germline variations of hereditary cancer genes (eg, ATM, BRCA2, PALB2) were found in patients with IPMN associated with concurrent invasive cancer. In the Nanjing cohort, 1 patient with IPMN with an ATM splice-site variation (c.3576 + 1G>A) developed an invasive IPMN during long-term follow-up, suggesting that careful lifelong surveillance is needed for all resected IPMN diseases. The outcomes of germline variants for serous cystic neoplasms and solid pseudopapillary tumors was unclear in the present study. Additional large-sample studies of pancreatic cystic tumors are needed to investigate the prevalence of germline variations and their associations with patient outcomes. Genetic factors are among the main factors associated with chronic pancreatitis.[28] Hereditary pancreatitis is often accompanied by germline variations in the PRSS, SPINK1, and CFTR genes.[29] There is a lack of relevant data among the Chinese population. A sequencing study from China[30] explored the germline variation of patients with idiopathic chronic pancreatitis, showing that the SPINK1 c.194 + 2T>C variation was present in 56.2% of adolescent and 42.0% of adult patients with idiopathic chronic pancreatitis. Patients with variations are more likely to develop recurrent pancreatitis,[31] as did some of the patients in the present study. Of patients diagnosed with acute pancreatitis, 3.1% also carried the SPINK1 c.194 + 2T>C variation, which suggests that in some patients, a new diagnosis of acute pancreatitis might need to be distinguished from idiopathic chronic pancreatitis. An association of the SPINK1 c.194 + 2T>C variation with chronic pancreatitis has been widely discussed.[32] However, an association between a SPINK1 variation and pancreatic cancer has been less frequently reported, especially in the Chinese population. In the Nanjing cohort, 21 patients with PDAC (2.1%) had a SPINK1 c.194 + 2T>C variation, which was significantly more frequent than in the ChinaMap population (114 patients [1.1%]). Of note, only 2 of the 21 patients (9.5%) had a history of chronic pancreatitis, suggesting that a SPINK1 variation might be directly associated with pancreatic cancer and not necessarily associated with chronic pancreatitis.[33]

Limitations

This study has limitations. First, owing to the study’s retrospective nature, clinical information collection was based on medical records. Second, public databases such as ExAC and ChinaMAP were used as controls for this study instead of sequencing the Chinese population with the same sequencing platform and methods. Third, because this study included patients from a surgical center, patients with PDAC included in this study were mostly initialized for radical resection, which does not represent the whole group of patients with PDAC disease, including those with unresectable PDAC. Fourth, although this is the first study, to our knowledge, to report germline variations in Chinese patients with noncancer pancreatic diseases, the sample sizes of these diseases were small, which requires further exploration of their prevalence and clinical significance in a better designed study with a larger patient cohort.

Conclusions

This is, to our knowledge, the first large-sample study of Chinese patients with pancreatic cancer using next-generation sequencing technology to detect germline variations. We found that sporadic pancreatic cancer in a population from China was associated with pathogenic germline variations. There were small differences in germline variants of PDAC. This is also the first study, to our knowledge, to report genetic data on noncancer pancreatic diseases. Germline variation detection might be useful for the early detection of pancreatic cancer in patients with high-risk disease, such as IPMN, during surveillance and also might provide supportive information for precision medicine in pancreatic cancer to optimize chemotherapeutic treatments and improve outcomes.
  28 in total

1.  [Report of cancer epidemiology in China, 2015].

Authors:  R S Zheng; K X Sun; S W Zhang; H M Zeng; X N Zou; R Chen; X Y Gu; W W Wei; J He
Journal:  Zhonghua Zhong Liu Za Zhi       Date:  2019-01-23

2.  Germline BRCA mutations in Asian patients with pancreatic adenocarcinoma: a prospective study evaluating risk category for genetic testing.

Authors:  Kyoungmin Lee; Changhoon Yoo; Kyu-Pyo Kim; Kyoung-Jin Park; Heung-Moon Chang; Tae Won Kim; Jae-Lyun Lee; Woochang Lee; Sang Soo Lee; Do Hyun Park; Tae Jun Song; Dong Wan Seo; Sung Koo Lee; Myung-Hwan Kim; Sang Hyun Shin; Dae Wook Hwang; Ki Byung Song; Jae Hoon Lee; Song Cheol Kim; Baek-Yeol Ryoo
Journal:  Invest New Drugs       Date:  2017-08-07       Impact factor: 3.850

Review 3.  Meta-analysis of the impact of the SPINK1 c.194 + 2T > C variant in chronic pancreatitis.

Authors:  Xin-Ying Tang; Wen-Bin Zou; Fei-Fei Yu; Lei Wang; Nan Ru; Jia-Hui Zhu; Zhao-Shen Li; Zhuan Liao
Journal:  Dig Liver Dis       Date:  2019-08-07       Impact factor: 4.088

4.  Utilization of Mobile Application for Better Implementation of Good Clinical Practice in a Biorepository Sample Collection Process: Functions of PancMoBio in Biobanking.

Authors:  Lei Tian; Kai Zhang; Xiao Wang; Kuirong Jiang; Wentao Gao; Ningxia Liang; Xiuqin Wang; Yi Miao; Zipeng Lu
Journal:  Biopreserv Biobank       Date:  2020-01-07       Impact factor: 2.300

5.  Germline variants in pancreatic cancer patients with a personal or family history of cancer fulfilling the revised Bethesda guidelines.

Authors:  Akihiro Ohmoto; Chigusa Morizane; Emi Kubo; Erina Takai; Hiroko Hosoi; Yasunari Sakamoto; Shunsuke Kondo; Hideki Ueno; Kazuaki Shimada; Shinichi Yachida; Takuji Okusaka
Journal:  J Gastroenterol       Date:  2018-04-17       Impact factor: 7.527

Review 6.  Genetic Diversity of Pancreatic Ductal Adenocarcinoma and Opportunities for Precision Medicine.

Authors:  Erik S Knudsen; Eileen M O'Reilly; Jonathan R Brody; Agnieszka K Witkiewicz
Journal:  Gastroenterology       Date:  2015-09-15       Impact factor: 22.682

7.  Exome-Wide Association Study of Pancreatic Cancer Risk.

Authors:  Robert C Grant; Robert E Denroche; Ayelet Borgida; Carl Virtanen; Natalie Cook; Alyssa L Smith; Ashton A Connor; Julie M Wilson; Gloria Peterson; Nicholas J Roberts; Alison P Klein; Sean M Grimmond; Andrew Biankin; Sean Cleary; Malcolm Moore; Mathieu Lemire; George Zogopoulos; Lincoln Stein; Steven Gallinger
Journal:  Gastroenterology       Date:  2017-10-24       Impact factor: 22.682

8.  Mutations in BRCA1, BRCA2, and PALB2, and a panel of 50 cancer-associated genes in pancreatic ductal adenocarcinoma.

Authors:  Shoko Takeuchi; Manami Doi; Naoki Ikari; Masakazu Yamamoto; Toru Furukawa
Journal:  Sci Rep       Date:  2018-05-25       Impact factor: 4.379

9.  The ChinaMAP analytics of deep whole genome sequences in 10,588 individuals.

Authors:  Yanan Cao; Lin Li; Min Xu; Zhimin Feng; Xiaohui Sun; Jieli Lu; Yu Xu; Peina Du; Tiange Wang; Ruying Hu; Zhen Ye; Lixin Shi; Xulei Tang; Li Yan; Zhengnan Gao; Gang Chen; Yinfei Zhang; Lulu Chen; Guang Ning; Yufang Bi; Weiqing Wang
Journal:  Cell Res       Date:  2020-04-30       Impact factor: 25.617

10.  Exome-wide analysis identifies three low-frequency missense variants associated with pancreatic cancer risk in Chinese populations.

Authors:  Jiang Chang; Jianbo Tian; Ying Zhu; Rong Zhong; Kan Zhai; Jiaoyuan Li; Juntao Ke; QiangQiang Han; Jiao Lou; Wei Chen; Beibei Zhu; Na Shen; Yi Zhang; Yajie Gong; Yang Yang; Danyi Zou; Xiating Peng; Zhi Zhang; Xuemei Zhang; Kun Huang; Ming Yang; Li Wang; Chen Wu; Dongxin Lin; Xiaoping Miao
Journal:  Nat Commun       Date:  2018-09-11       Impact factor: 14.919

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