Evidence map›Paper›PMID 32107691›Full record

ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2020

Identification of targeted therapy options for gastric adenocarcinoma by comprehensive analysis of genomic data.

Daniel A Hescheler, Patrick S Plum, Thomas Zander, Alexander Quaas, Michael Korenkov, Asmae Gassa, Maximilian Michel, Christiane J Bruns, Hakan Alakus

Open access · hybridAbstract read
In one paragraph

Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2020. 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
1.1field-weighted citation impact, top 19% 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, 12 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Daniel A HeschelerDepartment of General, Visceral and Cancer Surgery, University Hospital of Cologne Germany, Cologne, Germany.
Patrick S PlumDepartment of General, Visceral and Cancer Surgery, University Hospital of Cologne Germany, Cologne, Germany.
Thomas ZanderGastrointestinal Cancer Group Cologne (GCGC), University Hospital of Cologne Germany, Cologne, Germany.
Alexander QuaasGastrointestinal Cancer Group Cologne (GCGC), University Hospital of Cologne Germany, Cologne, Germany.
Michael KorenkovDepartment of General, Visceral and Cancer Surgery, University Hospital of Cologne Germany, Cologne, Germany.
Asmae GassaDepartment of Cardiothoracic Surgery, University Hospital of Cologne Germany, Cologne, Germany.
Maximilian MichelInstitute of Zoology, University of Cologne Germany, Cologne, Germany.
Christiane J BrunsDepartment of General, Visceral and Cancer Surgery, University Hospital of Cologne Germany, Cologne, Germany.
Hakan AlakusDepartment of General, Visceral and Cancer Surgery, University Hospital of Cologne Germany, Cologne, Germany. hakan.alakus@uk-koeln.de.
University Hospital Cologne · DEUniversity of Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSo far only trastuzumab, pembrolizumab and ramucirumab have been approved by the FDA for targeted therapy in gastric cancer (GC). Here we report on potential targeted therapy options for gastric adenocarcinoma based on a novel analysis of "The Cancer Genome Atlas (TCGA)" database.

methodsOne hundred two FDA-approved targeted cancer drugs were compiled and molecular targets defined. Drugs were considered as potentially effective if targeted genes showed (1) an increase in copy number, (2) gain of function with oncogene activation, (3) specific alterations responsive to approved drugs. Additionally, genetic changes that confer drug resistance and/or sensitivity were evaluated.

resultsFifty percentage of patients with GC may be treatable with non-GC but FDA-approved targeted cancer therapies. The major drug identified in our in silico study for GC is copanlisib, a PI3K inhibitor. In the TCGA patient database, our genetically based drug response prediction identified more patients with alterations sensitive to copanlisib compared to the already-GC-approved drug trastuzumab (20%, 78 out of 393 patients, vs. trastuzumab: 13%, 52 of 393 patients), which is mainly due to the high incidence of PIK3CA gain of function mutations within mutation hot spots.

conclusionOur results demonstrate that various currently FDA-approved drugs might be candidates for targeted therapy of GC. For clinical trials, cancer patients should be selected based on the genomic profile of their tumor.

Indexed as

Molecular Targeted TherapyAdenocarcinomaAntineoplastic AgentsBiomarkers, TumorDrug Resistance, NeoplasmGenome, HumanGenomicsHumansPrognosisStomach NeoplasmsTranscriptomeAntineoplastic AgentsBiomarkers, TumorHuman genome projectNew treatment advancesStomach neoplasmsTargeted molecular therapy

Identifiers

PMID32107691
PMCPMC7305081
OpenAlexW3007137621

What OpenQuestion holds

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LicenceCC BY
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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.