Evidence map›Paper›PMID 36091175›Full record

ArticleFrontiers in oncology2022

An integrated somatic and germline approach to aid interpretation of germline variants of uncertain significance in cancer susceptibility genes.

Alison Schwartz, Danielle K Manning, Diane R Koeller, Anu Chittenden, Raymond A Isidro, Connor P Hayes, Feruza Abraamyan, Monica Devi Manam, Meaghan Dwan, Justine A Barletta and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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  7. Development and evaluation of INTFrontiers in oncology · 2023
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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

15 authors at 4 institutions in 1 country.

Alison SchwartzDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, United States.
Danielle K ManningDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, United States.
Diane R KoellerDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, United States.
Anu ChittendenDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, United States.
Raymond A IsidroDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, United States.
Connor P HayesDivision of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States.
Feruza AbraamyanHarvard Medical School, Boston, MA, United States.
Monica Devi ManamDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, United States.
Meaghan DwanDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, United States.
Justine A BarlettaDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, United States.
Lynette M ShollDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, United States.
Matthew B YurgelunDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, United States.
Huma Q RanaDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, United States.
Judy E GarberDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, United States.
Arezou A GhazaniDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, United States.
Harvard University · USCancer Genetics (United States) · USBrigham and Women's Hospital · USDana-Farber Cancer Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic profiles of tumors are often unique and represent characteristic mutational signatures defined by DNA damage or DNA repair response processes. The tumor-derived somatic information has been widely used in therapeutic applications, but it is grossly underutilized in the assessment of germline genetic variants. Here, we present a comprehensive approach for evaluating the pathogenicity of germline variants in cancer using an integrated interpretation of somatic and germline genomic data. We have previously demonstrated the utility of this integrated approach in the reassessment of pathogenic germline variants in selected cancer patients with unexpected or non-syndromic phenotypes. The application of this approach is presented in the assessment of rare variants of uncertain significance (VUS) in Lynch-related colon cancer, hereditary paraganglioma-pheochromocytoma syndrome, and Li-Fraumeni syndrome. Using this integrated method, germline VUS in

Indexed as

germline VUSLi-Fraumeni syndromelynch syndromeparagangliomasomatic and germline integrationtumor signature profile

Identifiers

PMID36091175
PMCPMC9453486
OpenAlexW4293088590

What Socratic 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 Socratic graph.