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

genetic predisposition genomic data interpretation medical oncology pancreatic cancer precision oncology structural bioinformatics survival analysis

Journal

Frontiers in oncology
ISSN: 2234-943X
Titre abrégé: Front Oncol
Pays: Switzerland
ID NLM: 101568867

Informations de publication

Date de publication:
2021
Historique:
received: 15 09 2020
accepted: 21 01 2021
entrez: 22 3 2021
pubmed: 23 3 2021
medline: 23 3 2021
Statut: epublish

Résumé

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

Identifiants

pubmed: 33747920
doi: 10.3389/fonc.2021.606820
pmc: PMC7973372
doi:

Types de publication

Journal Article

Langues

eng

Pagination

606820

Subventions

Organisme : NCI NIH HHS
ID : R01 CA178627
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA247898
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK052913
Pays : United States

Informations de copyright

Copyright © 2021 Zimmermann, Mathison, Stodola, Evans, Abrudan, Demos, Tschannen, Aldakkak, Geurts, Lomberk, Tsai and Urrutia.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest

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Auteurs

Michael T Zimmermann (MT)

Bioinformatics Research and Development Laboratory, Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, United States.
Clinical and Translational Sciences Institute, Medical College of Wisconsin, Milwaukee, WI, United States.
Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, United States.

Angela J Mathison (AJ)

Division of Research, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, United States.
Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, United States.

Tim Stodola (T)

Division of Research, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, United States.

Douglas B Evans (DB)

Division of Surgical Oncology, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, United States.
LaBahn Pancreatic Cancer Program, Medical College of Wisconsin, Milwaukee, WI, United States.

Jenica L Abrudan (JL)

Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, United States.

Wendy Demos (W)

Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, United States.

Michael Tschannen (M)

Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, United States.

Mohammed Aldakkak (M)

Division of Surgical Oncology, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, United States.

Jennifer Geurts (J)

Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, United States.
Genetic Counseling Program, Medical College of Wisconsin, Milwaukee, WI, United States.

Gwen Lomberk (G)

Division of Research, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, United States.
Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, United States.
LaBahn Pancreatic Cancer Program, Medical College of Wisconsin, Milwaukee, WI, United States.
Department of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI, United States.

Susan Tsai (S)

Division of Research, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, United States.
Division of Surgical Oncology, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, United States.
LaBahn Pancreatic Cancer Program, Medical College of Wisconsin, Milwaukee, WI, United States.

Raul Urrutia (R)

Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, United States.
Division of Research, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, United States.
Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, United States.
LaBahn Pancreatic Cancer Program, Medical College of Wisconsin, Milwaukee, WI, United States.

Classifications MeSH