Evidence map›Paper›PMID 41911515›Full record

ArticleJCO precision oncology2026

Prognostic Biomarkers and Immunotherapeutic Insights of Circulating Tumor DNA Analysis in Advanced Esophageal Squamous Cell Carcinoma From SCRUM-MONSTAR GOZILA Substudy.

Yuqing Duan, Tadayoshi Hashimoto, Taro Shibuki, Hiroya Taniguchi, Yu Sunakawa, Yoshito Komatsu, Naoki Takahashi, Yuta Sato, Kensei Yamaguchi, Tomohiro Nishina and 10 more

Abstract read
In one paragraph

Article in JCO precision oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

20 authors.

Yuqing DuanTranslational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan.ORCID 0000-0001-7249-2815
Tadayoshi HashimotoTranslational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan.ORCID 0000-0003-3759-1214
Taro ShibukiTranslational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan.ORCID 0000-0001-7302-7691
Hiroya TaniguchiDepartment of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya, Japan.ORCID 0000-0003-1407-6682
Yu SunakawaDepartment of Clinical Oncology, St Marianna University School of Medicine, Kanagawa, Japan.ORCID 0000-0002-0163-7543
Yoshito KomatsuDepartment of Cancer Center, Hokkaido University Hospital, Sapporo, Japan.ORCID 0000-0002-1570-6802
Naoki TakahashiDepartment of Gastroenterology, Saitama Cancer Center, Saitama, Japan.
Yuta SatoDepartment of Gastroenterological Surgery and Pediatric Surgery, Gifu University Graduate School of Medicine, Gifu, Japan.
Kensei YamaguchiGastroenterological Chemotherapy Department, The Cancer Institute Hospital of JFCR, Tokyo, Japan.ORCID 0000-0001-6887-5709
Tomohiro NishinaDepartment of Gastrointestinal Medical Oncology, NHO Shikoku Cancer Center, Matsuyama, Japan.ORCID 0000-0002-4073-3757
Tomonori NakanokoDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.ORCID 0000-0001-6486-9889
Shogen BokuCancer Treatment Center, Kansai Medical University Hospital, Osaka, Japan.ORCID 0000-0002-5015-0379
Taroh SatohCenter for Cancer Genomics and Precision Medicine, Osaka University Hospital, Suita, Japan.ORCID 0000-0002-4615-2638
Hisateru YasuiDepartment of Medical Oncology, Kobe City Medical Center General Hospital, Hyogo, Japan.ORCID 0000-0001-5563-5802
Taito EsakiDepartment of Gastrointestinal and Medical Oncology, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan.
Mitsuho ImaiTranslational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan.ORCID 0000-0001-8736-0399
Takao FujisawaTranslational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan.ORCID 0009-0002-3438-5757
Yoshiaki NakamuraTranslational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan.ORCID 0000-0002-5241-6855
Hideaki BandoTranslational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan.ORCID 0000-0001-5041-2765
Takayuki YoshinoTranslational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan.ORCID 0000-0002-0489-4756

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAdvanced esophageal squamous cell carcinoma (ESCC) has a poor prognosis, and current treatments provide limited survival benefits. This study aimed to identify prognostic biomarkers and therapeutic targets by genomic profiling of advanced ESCC using circulating tumor DNA (ctDNA).

methodsThe SCRUM-MONSTAR GOZILA study is a nationwide, plasma-based molecular profiling project using Guardant360, involving 31 core cancer institutions in Japan. We evaluated the genomic landscape of advanced ESCC and investigated associations between specific alterations and overall survival (OS). The correlation between blood tumor mutation burden (bTMB) and clinical outcomes in patients with PD-1 inhibitors was also assessed using multiple cutoff values (2, 4, 6, 8, and 10 mutations/Mb).

resultsAmong 313 patients, alterations predominantly consisted of single nucleotide variants (SNVs, 68.9%) and copy number alterations (20.7%).

conclusionctDNA analysis identified key genomic alterations linked to poor outcomes in advanced ESCC, revealing potential prognostic biomarkers and therapeutic targets. In contrast, bTMB did not show predictive value for the efficacy of PD-1 inhibitors in this study.

Indexed as

Biomarkers, TumorCirculating Tumor DNAEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaAgedFemaleHumansMalePrognosisBiomarkers, TumorCirculating Tumor DNA

Identifiers

PMID41911515
PMCPMC13048326

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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.