Evidence map›Paper›PMID 42770652›Full record

ArticleCancer science2026

Comprehensive Genomic Profiling Beyond Driver Testing in Non-Squamous Non-Small Cell Lung Cancer With Known Drivers.

Yoshihiro Masui, Tatsuya Yoshida, Yoh Yamaguchi, Jun Miyakoshi, Ryoko Inaba Higashiyama, Akiko Tateishi, Yuki Shinno, Yuji Matsumoto, Yusuke Okuma, Tomonori Mizutani and 6 more

Abstract read
In one paragraph

Article in Cancer science, 2026. 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
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.

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

16 authors.

Yoshihiro MasuiDepartment of Thoracic Oncology, National Cancer Center Hospital, Tokyo, Japan.ORCID https://orcid.org/0009-0008-2886-6638
Tatsuya YoshidaDepartment of Thoracic Oncology, National Cancer Center Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4896-5824
Yoh YamaguchiDepartment of Thoracic Oncology, National Cancer Center Hospital, Tokyo, Japan.
Jun MiyakoshiDepartment of Thoracic Oncology, National Cancer Center Hospital, Tokyo, Japan.
Ryoko Inaba HigashiyamaDepartment of Thoracic Oncology, National Cancer Center Hospital, Tokyo, Japan.
Akiko TateishiDepartment of Thoracic Oncology, National Cancer Center Hospital, Tokyo, Japan.
Yuki ShinnoDepartment of Thoracic Oncology, National Cancer Center Hospital, Tokyo, Japan.
Yuji MatsumotoDepartment of Endoscopy, Respiratory Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan.
Yusuke OkumaDepartment of Thoracic Oncology, National Cancer Center Hospital, Tokyo, Japan.
Tomonori MizutaniDepartment of Thoracic Oncology, National Cancer Center Hospital, Tokyo, Japan.
Hidehito HorinouchiDepartment of Thoracic Oncology, National Cancer Center Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9090-801X
Kouya ShiraishiDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5821-7400
Takashi KohnoDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5371-706X
Takafumi KoyamaDepartment of Experimental Therapeutics, National Cancer Center Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0001-5807-8458
Noboru YamamotoDepartment of Thoracic Oncology, National Cancer Center Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0002-0787-2851
Yasushi GotoDepartment of Thoracic Oncology, National Cancer Center Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0002-7437-5054

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In advanced non-squamous non-small cell lung cancer (non-sq NSCLC), companion diagnostic testing (CDx) identifies actionable driver alterations and guides initial targeted therapy. However, disease progression inevitably occurs through acquired resistance, including activation of bypass signaling pathways. Although comprehensive genomic profiling (CGP) can identify emerging resistance alterations, its clinical utility in patients with known actionable driver alterations remains unclear. We retrospectively analyzed 227 patients who underwent CGP between June 2019 and August 2025. Patients with actionable driver alterations identified by CDx before CGP formed the known driver group. We also analyzed the nationwide C-CAT registry to assess registry-recorded therapeutic implementation. Among 227 patients, 74 (32.6%) had known actionable driver alterations. CGP identified additional clinically relevant genomic findings, including ESCAT Tier I-III or V alterations, in 34 patients (45.9%), comparable to that in patients without known actionable driver alterations (77/153, 50.3%). In the EGFR-mutated (EGFRm) subgroup, CGP frequently identified alterations consistent with potential bypass resistance mechanisms, including MET amplification, RET fusions, and BRAF V600E mutations. Overall, 10 patients (13.5%) received CGP-guided therapy based on additional findings, all within the EGFRm subgroup, whereas no patients with non-EGFR driver alterations did. In the C-CAT registry, CGP-associated therapy was documented in 21 of 381 (5.5%) in the EGFRm subgroup, 6 of 155 (3.9%) in the non-EGFR driver subgroup, and 195 of 2132 (9.1%) without registry-defined driver alterations. These findings indicate that CGP provides molecular re-evaluation during disease progression, particularly by identifying alterations consistent with potentially actionable resistance or bypass mechanisms in EGFRm NSCLC.

Indexed as

comprehensive genomic profilingdriver oncogenemolecular targeted therapynon‐small cell lung cancerprecision medicine

Identifiers

PMID42770652
PMCPMC13596020

What OpenQuestion holds

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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.