Evidence map›Paper›PMID 33747920›Full record

ArticleFrontiers in oncology2021

Interpreting Sequence Variation in PDAC-Predisposing Genes Using a Multi-Tier Annotation Approach Performed at the Gene, Patient, and Cohort Level.

Michael T Zimmermann, Angela J Mathison, Tim Stodola, Douglas B Evans, Jenica L Abrudan, Wendy Demos, Michael Tschannen, Mohammed Aldakkak, Jennifer Geurts, Gwen Lomberk and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
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

12 authors at 1 institution in 1 country.

Michael T ZimmermannBioinformatics Research and Development Laboratory, Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, United States.
Angela J MathisonDivision of Research, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, United States.
Tim StodolaDivision of Research, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, United States.
Douglas B EvansDivision of Surgical Oncology, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, United States.
Jenica L AbrudanGenomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, United States.
Wendy DemosGenomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, United States.
Michael TschannenGenomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, United States.
Mohammed AldakkakDivision of Surgical Oncology, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, United States.
Jennifer GeurtsGenomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, United States.
Gwen LomberkDivision of Research, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, United States.
Susan TsaiDivision of Research, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, United States.
Raul UrrutiaDepartment of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, United States.
Medical College of Wisconsin · US

Funding

ZINC FINGER GENES AND PANCREATIC CELL GROWTHR01DK052913 · NIDDK · MEDICAL COLLEGE OF WISCONSIN · PI LOMBERK, GWEN, URRUTIA, RAUL A. · 1998 to 2023
$7.0M
Targeting Epigenomic Regulators at the Replication Fork in PDACR01CA247898 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI LOMBERK, GWEN · 2021 to 2025
$2.3M
Novel Experimental Therapeutics for Pancreatic CancerR01CA178627 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI LOMBERK, GWEN · 2014 to 2018
$1.6M
NCI NIH HHS R01 CA178627NCI NIH HHS R01 CA247898NIDDK NIH HHS R01 DK052913
6 · The paper itself

Abstract

We investigated germline variation in pancreatic ductal adenocarcinoma (PDAC) predisposition genes in 535 patients, using a custom-built panel and a new complementary bioinformatic approach. Our panel assessed genes belonging to DNA repair, cell cycle checkpoints, migration, and preneoplastic pancreatic conditions. Our bioinformatics approach integrated annotations of variants by using data derived from both germline and somatic references. This integrated approach with expanded evidence enabled us to consider patterns even among private mutations, supporting a functional role for certain alleles, which we believe enhances individualized medicine beyond classic gene-centric approaches. Concurrent evaluation of three levels of evidence, at the gene, sample, and cohort level, has not been previously done. Overall, we identified in PDAC patient germline samples, 12% with mutations previously observed in pancreatic cancers, 23% with mutations previously discovered by sequencing other human tumors, and 46% with mutations with germline associations to cancer. Non-polymorphic protein-coding pathogenic variants were found in 18.4% of patient samples. Moreover, among patients with metastatic PDAC, 16% carried at least one pathogenic variant, and this subgroup was found to have an improved overall survival (22.0 months versus 9.8; p=0.008) despite a higher pre-treatment CA19-9 level (p=0.02). Genetic alterations in DNA damage repair genes were associated with longer overall survival among patients who underwent resection surgery (92 months

Indexed as

genetic predispositiongenomic data interpretationmedical oncologypancreatic cancerprecision oncologystructural bioinformaticssurvival analysis

Identifiers

PMID33747920
PMCPMC7973372
OpenAlexW3134489114

What OpenQuestion holds

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LicenceCC BY
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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.