Evidence map›Paper›PMID 41429928›Full record

Observational studyBritish journal of cancer2026

Exploratory analysis of gene aberrations and chemotherapy response: findings from a real-world database in Japan.

Naoya Ishibashi, Takashi Kamatani, Satoru Aoyama, Masanori Tokunaga, Yusuke Kinugasa, Sadakatsu Ikeda

Erratum issuedAbstract readObservational Study
In one paragraph

Observational study in British journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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
1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Naoya IshibashiDepartment of Precision Cancer Medicine, Institute of Science Tokyo Hospital, Tokyo, Japan.ORCID http://orcid.org/0009-0008-5533-7096
Takashi KamataniDepartment of Precision Cancer Medicine, Institute of Science Tokyo Hospital, Tokyo, Japan.
Satoru AoyamaDepartment of Precision Cancer Medicine, Institute of Science Tokyo Hospital, Tokyo, Japan.
Masanori TokunagaDepartment of Gastrointestinal Surgery, Institute of Science Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-3183-349X
Yusuke KinugasaDepartment of Gastrointestinal Surgery, Institute of Science Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-7885-2276
Sadakatsu IkedaDepartment of Precision Cancer Medicine, Institute of Science Tokyo Hospital, Tokyo, Japan. ikeda.canc@tmd.ac.jp.ORCID http://orcid.org/0000-0003-1629-7171

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChemotherapy selection traditionally relies on tumor tissue of origin. However, since genetic alterations drive tumor behavior, it remains unclear if mutations can better predict response. We hypothesized that genetic aberrations might influence chemotherapy outcomes more than tissue origin.

methodsWe retrospectively analyzed 15,474 Japanese patients with solid tumors who underwent comprehensive genomic profiling (CGP) and received cytotoxic chemotherapy. Genetic alterations and tumor origin were evaluated for objective response rate (ORR) and time to next treatment (TNT). Gene mutations were assessed across five chemotherapy classes: platinum-based, alkylating agents, antimetabolites, microtubule inhibitors, and topoisomerase inhibitors.

resultsGenomic alteration data alone did not surpass organ-based models in predicting response. For platinum-based agents, the gene-only model had an AUC of 0.575 versus 0.604 for the organ-only model. A combined gene-organ model yielded an AUC of 0.618 (P < 0.01). Certain gene-organ interactions were associated with improved outcomes. For example, APC-mutated colorectal cancer showed higher ORR and prolonged TNT (hazard ratio, 0.82; 95% CI, 0.73-0.92; P < 0.001) for platinum-based drugs.

conclusionsWhile genetic alterations alone did not outperform tumor origin as a predictor, incorporating both may improve exploratory predictions of chemotherapy response. These exploratory findings require prospective validation before any clinical application.

Indexed as

Antineoplastic AgentsNeoplasmsAdultAgedAged, 80 and overFemaleHumansJapanMaleMiddle AgedMutationRetrospective StudiesTreatment OutcomeAntineoplastic Agents

Identifiers

PMID41429928
PMCPMC12905273

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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.