Evidence map›Paper›PMID 38054407›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2024

Sequential tumor molecular profiling identifies likely germline variants.

Ira L Kraft, Hatice Basdag, Ashwin Koppayi, Courtnee V Rodgers, Caner Saygin, Yogameenakshi Haribabu, Pankhuri Wanjari, Nifang Niu, Soma Das, Jill L O de Jong and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
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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

12 authors at 3 institutions in 2 countries.

Ira L KraftSection of Hematology/Oncology, Department of Pediatrics, The University of Chicago, Chicago, IL; Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL; Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Hatice BasdagSection of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL.
Ashwin KoppayiSection of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL; Division of Hematology/Oncology, Department of Medicine, Northwestern University, Chicago, IL.
Courtnee V RodgersSection of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL; Division of Hematology/Oncology, Department of Medicine, Northwestern University, Chicago, IL.
Caner SayginSection of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL.
Yogameenakshi HaribabuSection of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL; Division of Hematology/Oncology, Department of Medicine, Northwestern University, Chicago, IL.
Pankhuri WanjariDepartment of Pathology, The University of Chicago, Chicago, IL.
Nifang NiuDepartment of Pathology, The University of Chicago, Chicago, IL.
Soma DasDepartment of Human Genetics, The University of Chicago, Chicago, IL.
Jill L O de JongSection of Hematology/Oncology, Department of Pediatrics, The University of Chicago, Chicago, IL.
Jeremy SegalDepartment of Pathology, The University of Chicago, Chicago, IL.
Lucy A GodleySection of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL; Division of Hematology/Oncology, Department of Medicine, Northwestern University, Chicago, IL. Electronic address: lucy.godley@northwestern.edu.
University of Chicago · USNorthwestern University · USNational Institutes of Health · US

Funding

The role of inflammation in driving leukemogenesis in germline predisposition syndromesU01CA257666 · NCI · UNIVERSITY OF CHICAGO · PI AGARWAL, ANUPRIYA, BRESNICK, EMERY H. · 2022 to 2025
$2.5M
NCI NIH HHS U01 CA257666
6 · The paper itself

Abstract

purposeTo identify likely germline DNA variants from sequential tumor profiling data from hematopoietic malignancies (HMs).

methodsThe coefficient of variance was calculated from variant allele frequency of next-generation sequencing assays. Variants' likelihood of being germline was ranked on a 1 to 5 scale. Outcomes were examined in patients with such variants.

resultsIn a pilot set of 33 genes, 89% of grade 1, 77% of grade 2, 62% of grade 3, 52% of grade 4, and 21% of grade 5 variants were confirmed to be germline. Among those, 22% were pathogenic or likely pathogenic in genes recognized as conferring hereditary HM risk, including BRCA1/2, CHEK2, CSF3R, and DDX41. To determine if this approach identified genes with known autosomal dominant inheritance, we analyzed sequential data from 1336 genes in 1135 HM patients. Among unique variants, 16% occurred in hereditary HM genes, and 15% were deleterious. Patients with grade 1/2 alleles had decreased survival 2 years after initial molecular testing (78% versus 88%, P = .0037) and increased all-cause mortality compared with those without (hazard ratio 2.02, 95% CI 1.18-3.46, P = .019).

conclusionVariant germline status may be predicted using sequential tumor profiling and patients with likely germline variants experience inferior outcomes compared with those without.

Indexed as

BRCA1 ProteinNeoplasmsBRCA2 ProteinGenetic Predisposition to DiseaseGerm CellsGerm-Line MutationHumansBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanClinical next-generation sequencingGermline cancer genomicsHereditary hematopoietic malignancySequential tumor profilingTumor molecular profiling

Identifiers

PMID38054407
PMCPMC11401608
OpenAlexW4389285592

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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.