Evidence map›Paper›PMID 38613733›Full record

ArticleTargeted oncology2024

The Molecular Landscape of Gastric Cancers for Novel Targeted Therapies from Real-World Genomic Profiling.

Hiroyuki Yamamoto, Hiroyuki Arai, Ritsuko Oikawa, Kumiko Umemoto, Hiroyuki Takeda, Takuro Mizukami, Yohei Kubota, Ayako Doi, Yoshiki Horie, Takashi Ogura and 4 more

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Article in Targeted oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

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4 · The record

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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

14 authors.

Hiroyuki YamamotoDepartment of Bioinformatics, St. Marianna University Graduate School of Medicine, 2-16-1 Sugao, Miyamae-ku, Kawasaki, Kanagawa, 216-8511, Japan. h-yama@marianna-u.ac.jp.ORCID 0000-0002-0954-6806
Hiroyuki AraiDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.
Ritsuko OikawaDepartment of Gastroenterology, St. Marianna University School of Medicine, Kawasaki, Japan.
Kumiko UmemotoDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.
Hiroyuki TakedaDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.
Takuro MizukamiDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.
Yohei KubotaDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.
Ayako DoiDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.
Yoshiki HorieDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.
Takashi OguraDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.
Naoki IzawaDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.
Jay A MooreCancer Genomics Research, Foundation Medicine, Inc., Cambridge, MA, USA.
Ethan S SokolCancer Genomics Research, Foundation Medicine, Inc., Cambridge, MA, USA.
Yu SunakawaDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPanel-based comprehensive genomic profiling is used in clinical practice worldwide; however, large real-world datasets of patients with advanced gastric cancer are not well known.

objectiveWe investigated what differences exist in clinically relevant alterations for molecularly defined or age-stratified subgroups.

methodsThis was a collaborative biomarker study of a real-world dataset from comprehensive genomic profiling testing (Foundation Medicine, Inc.). Hybrid capture was carried out on at least 324 cancer-related genes and select introns from 31 genes frequently rearranged in cancer. Overall, 4634 patients were available for analyses and were stratified by age (≥ 40/< 40 years), microsatellite instability status, tumor mutational burden status (high 10 ≥ /low < 10 Muts/Mb), Epstein-Barr virus status, and select gene alterations. We analyzed the frequency of alterations with a chi-square test with Yate's correction.

resultsGenes with frequent alterations included TP53 (60.1%), ARID1A (19.6%), CDKN2A (18.2%), KRAS (16.6%), and CDH1 (15.8%). Differences in comprehensive genomic profiling were observed according to molecularly defined or age-stratified subgroups. Druggable genomic alterations were detected in 31.4% of patients; ATM (4.4%), BRAF V600E (0.4%), BRCA1 (1.5%), BRCA2 (2.9%), ERBB2 amplification (9.2%), IDH1 (0.2%), KRAS G12C (0.7%), microsatellite instability-high (4.8%), NTRK1/2/3 fusion (0.13%), PIK3CA mutation (11.4%), and tumor mutational burden-high (9.4%). CDH1 alterations and MET amplification were significantly more frequent in patients aged < 40 years (27.7 and 6.2%) than in those aged ≥ 40 years (14.7 and 4.0%).

conclusionsReal-world datasets from clinical panel testing revealed the genomic landscape in gastric cancer by subgroup. These findings provide insights for the current therapeutic strategies and future development of treatments in gastric cancer.

Indexed as

Stomach NeoplasmsAdultAgedFemaleGenomicsHumansMaleMiddle AgedMolecular Targeted Therapy

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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.