Evidence map›Paper›PMID 35171259›Full record

ArticleJAMA network open2022

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

Lingdi Yin, Jishu Wei, Zipeng Lu, Shimeng Huang, Hao Gao, Jianmin Chen, Feng Guo, Min Tu, Bin Xiao, Chunhua Xi and 7 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 4 pooled it
5.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 4 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Guideline
  2. Guideline
  3. Pooled it
  4. Pooled it
  5. Research progress in diagnosis and treatment of pancreatic cancer with mismatch repair and microsatellite instability.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Molecular insights into immune evasion and therapeutic paradigms in pancreatic cancer.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. High frequency of germline variants in CFTR identified in PDAC patients enrolled in an expanded panel multi-gene panel testing program.HPB : the official journal of the International Hepato Pancreato Biliary Association · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 3 institutions in 2 countries.

Lingdi YinPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jishu WeiPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zipeng LuPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Shimeng HuangPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hao GaoPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jianmin ChenPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Feng GuoPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Min TuPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Bin XiaoPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Chunhua XiPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Kai ZhangPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Qiang LiPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Junli WuPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Wentao GaoPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Kuirong JiangPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jun YuDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Yi MiaoPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiangsu Province Hospital · CNNanjing Medical University · CNJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Germ-Line MutationAdolescentAdultAgedAged, 80 and overAsian PeopleCarcinomaChinaFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedPancreatic NeoplasmsPrevalenceSequence Analysis

Identifiers

PMID35171259
PMCPMC8851306
OpenAlexW4213085648

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.