Evidence map›Paper›PMID 36862364›Full record

ArticleJournal of gastrointestinal cancer2023

Significance of Distinct Liquid Biopsy Compartments in Evaluating Somatic Mutations for Targeted Therapy Selection in Cancer of Unknown Primary.

Fiona R Kolbinger, Vincent Bernard, Jaewon J Lee, Bret M Stephens, Vittorio Branchi, Kanwal P S Raghav, Anirban Maitra, Paola A Guerrero, Alexander Semaan

Abstract read
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In one paragraph

Article in Journal of gastrointestinal cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 1 institution in 1 country.

Fiona R KolbingerDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Vincent BernardDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jaewon J LeeDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Bret M StephensDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Vittorio BranchiDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Kanwal P S RaghavDepartment of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Anirban MaitraDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Paola A GuerreroDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. paguerrero@mdanderson.org.
Alexander SemaanDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. alexander.semaan@ukbonn.de.
The University of Texas MD Anderson Cancer Center · US

Funding

UPR/MDACC Partnership for Excellence in Cancer Research (Luis Segarra supplement)U54CA096300 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHARON Hermes GIORDANO · 2002 to 2026
$23.8M
TRAINING OF ACADEMIC SURGICAL ONCOLOGISTST32CA009599 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Ashley M Holder, Jennifer A. Wargo · 1988 to 2026
$13.2M
Longitudinal therapeutic monitoring of colorectal cancer patients using exosome-based liquid biopsiesR01CA218230 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KOPETZ, SCOTT, MAITRA, ANIRBAN · 2018 to 2022
$3.3M
NIH HHS R01CA218230NIH HHS T32CA009599NIH HHS U54CA096300
6 · The paper itself

Abstract

purposeCancer of unknown primary (CUP) accounts for 2-5% of all cancer diagnoses, wherein standard investigations fail to reveal the original tumor site. Basket trials allocate targeted therapeutics based on actionable somatic mutations, independent of tumor entity. These trials, however, mostly rely on variants identified in tissue biopsies. Since liquid biopsies (LB) represent the overall tumor genomic landscape, they may provide an ideal diagnostic source in CUP patients. To identify the most informative liquid biopsy compartment, we compared the utility of genomic variant analysis for therapy stratification in two LB compartments (circulating cell-free (cf) and extracellular vesicle (ev) DNA).

methodsCfDNA and evDNA from 23 CUP patients were analyzed using a targeted gene panel covering 151 genes. Identified genetic variants were interpreted regarding diagnostic and therapeutic relevance using the MetaKB knowledgebase.

resultsLB revealed a total of 22 somatic mutations in evDNA and/or cfDNA in 11/23 patients. Out of the 22 identified somatic variants, 14 are classified as Tier I druggable somatic variants. Comparison of variants identified in evDNA and cfDNA revealed an overlap of 58% of somatic variants in both LB compartments, whereas over 40% of variants were only found in one or the other compartment.

conclusionWe observed substantial overlap between somatic variants identified in evDNA and cfDNA of CUP patients. Nonetheless, interrogation of both LB compartments can potentially increase the rate of druggable alterations, stressing the significance of liquid biopsies for possible primary-independent basket and umbrella trial inclusion.

Indexed as

Cell-Free Nucleic AcidsNeoplasms, Unknown PrimaryDNA, NeoplasmHumansLiquid BiopsyMutationCell-Free Nucleic AcidsDNA, NeoplasmCancer of unknown primaryCell-free DNAExtracellular vesicle DNALiquid biopsyNext-generation sequencingTargeted therapy

Identifiers

PMID36862364
OpenAlexW4322757700

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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.