Evidence map›Paper›PMID 31958074›Full record

ArticleCancer biomarkers : section A of Disease markers2020

Identification of germline and somatic mutations in pancreatic adenosquamous carcinoma using whole exome sequencing.

Hongyun Ma, Bin Song, Shiwei Guo, Gang Li, Gang Jin

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Article in Cancer biomarkers : section A of Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Hongyun MaDepartment of Pancreatic Surgery, Changhai Hospital, Second Military Medical University, Shanghai, China.
Bin SongDepartment of Pancreatic Surgery, Changhai Hospital, Second Military Medical University, Shanghai, China.
Shiwei GuoDepartment of Pancreatic Surgery, Changhai Hospital, Second Military Medical University, Shanghai, China.
Gang LiDepartment of Pancreatic Surgery, Changhai Hospital, Second Military Medical University, Shanghai, China.
Gang JinDepartment of Pancreatic Surgery, Changhai Hospital, Second Military Medical University, Shanghai, China.
Second Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPancreatic cancer is one of the most lethal malignancies worldwide. Pancreatic adenosquamous carcinoma (PASC) is a rare histological type of pancreatic carcinoma with a poor prognosis. The median survival time after diagnosis is less than one year. It is believed that the pathogenesis of PASC is different from pancreatic adenocarcinoma. In this study, we tried to reveal the intrinsic gene mutations associated with PASC through whole exome sequencing.

methodsBoth cancerous and paracancerous tissues were collected from 12 pathologically diagnosed PASC patients. Their clinical characteristics were collected, and patient survival information was obtained through follow-up. The correlations between the mutations and clinical characteristics were analysed.

resultsGermline mutations were identified in MAP3K1 (9 cases), PDE4DIP (7), BCR (7), ALK (6), USP6 (5), AR (4), HLA-A (4), SPEN (4), KMT2D (3), NUTM2B (3), ZFHX3 (3), and MN1 (3), while somatic mutations were found in TP53 (5), KRAS (3), HRNR (3), and OBSCN (3). Peripheral tissue invasion was associated with somatic mutations in KRAS (P= 0.0339). Additionally, there were significant correlations between lymphatic metastasis and germline mutations in USP6 (P= 0.0228) and somatic mutations in OBSCN and HRNR (P= 0.0339).

conclusionIn conclusion, susceptibility genes including MAP3K1, PDE4DIP, and BCR are frequently found to be mutated in the germlines of PASC patients. Somatic mutations in KRAS, OBSCN, and HRNR and germline mutations in USP6 are related to tumour invasion and metastasis, reinforcing the necessity of translating these potential biomarkers into clinical practice.

Indexed as

Germ-Line MutationCarcinoma, AdenosquamousCarcinoma, Pancreatic DuctalExome SequencingFemaleHumansMaleNeoplasm StagingPancreatic Neoplasmsgermline mutationPancreatic adenosquamous carcinomasomatic mutationwhole exome sequencing

Identifiers

PMID31958074
PMCPMC12662302
OpenAlexW2999287421

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Registered trials

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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.