Evidence map›Paper›PMID 40629017›Full record

ArticleJournal of cancer research and clinical oncology2025

Relationship between programmed cell death ligand 1 expression and the number of biopsy specimens in advanced gastric cancer.

Taro Mizuno, Yukiya Narita, Yasunobu Ishizuka, Tomoki Sakakida, Kazunori Honda, Toshiki Masuishi, Hiroya Taniguchi, Shigenori Kadowaki, Masashi Ando, Masahiro Tajika and 1 more

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Diagnostic discordance and treatment-associated change of PD-L1 and CLDN18.2 in gastric cancer: a real-world analysis of paired biopsy-resection samples.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026
    Article
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

11 authors.

Taro MizunoDepartment of Clinical Oncology, Aichi Cancer Center Hospital, 1-1 Kanokoden, Chikusa-Ku, Nagoya, Aichi, 464-8681, Japan.
Yukiya NaritaDepartment of Clinical Oncology, Aichi Cancer Center Hospital, 1-1 Kanokoden, Chikusa-Ku, Nagoya, Aichi, 464-8681, Japan. yukiya.narita@aichi-cc.jp.
Yasunobu IshizukaDepartment of Clinical Oncology, Aichi Cancer Center Hospital, 1-1 Kanokoden, Chikusa-Ku, Nagoya, Aichi, 464-8681, Japan.
Tomoki SakakidaDepartment of Clinical Oncology, Aichi Cancer Center Hospital, 1-1 Kanokoden, Chikusa-Ku, Nagoya, Aichi, 464-8681, Japan.
Kazunori HondaDepartment of Clinical Oncology, Aichi Cancer Center Hospital, 1-1 Kanokoden, Chikusa-Ku, Nagoya, Aichi, 464-8681, Japan.
Toshiki MasuishiDepartment of Clinical Oncology, Aichi Cancer Center Hospital, 1-1 Kanokoden, Chikusa-Ku, Nagoya, Aichi, 464-8681, Japan.
Hiroya TaniguchiDepartment of Clinical Oncology, Aichi Cancer Center Hospital, 1-1 Kanokoden, Chikusa-Ku, Nagoya, Aichi, 464-8681, Japan.
Shigenori KadowakiDepartment of Clinical Oncology, Aichi Cancer Center Hospital, 1-1 Kanokoden, Chikusa-Ku, Nagoya, Aichi, 464-8681, Japan.
Masashi AndoDepartment of Clinical Oncology, Aichi Cancer Center Hospital, 1-1 Kanokoden, Chikusa-Ku, Nagoya, Aichi, 464-8681, Japan.
Masahiro TajikaDepartment of Endoscopy, Aichi Cancer Center Hospital, 1-1 Kanokoden, Chikusa-Ku, Nagoya, Aichi, 464-8681, Japan.
Kei MuroDepartment of Clinical Oncology, Aichi Cancer Center Hospital, 1-1 Kanokoden, Chikusa-Ku, Nagoya, Aichi, 464-8681, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeProgrammed cell death ligand 1 (PD-L1) expression in advanced gastric cancer (AGC) exhibits spatial heterogeneity, which may lead to sampling bias during biopsies. Although multiple biopsies are believed to improve the accuracy of PD-L1 assessment, the optimal number of specimens remains uncertain. This study investigated the relationship between PD-L1 expression and biopsy specimen count in AGC.

methodsWe retrospectively analyzed 110 patients with AGC who underwent first-line chemotherapy and had PD-L1 combined positive scores (CPS) assessed using the 28-8 pharmDx assay. Associations between CPS and biopsy specimen count were evaluated using chi-square or Fisher's exact test. In a subgroup of 70 human epidermal growth factor receptor 2 (HER2)-negative patients treated with first-line nivolumab plus chemotherapy, survival outcomes were analyzed based on CPS status.

resultsPD-L1 CPS ≥ 5 was identified in 79 patients (71.8%). The proportion of patients with CPS ≥ 5 was significantly higher in those with ≥ 5 biopsy specimens than in those with ≤ 4 (77.5% vs. 56.7%, P = 0.03). This trend was even more pronounced in HER2-negative patients (83.6% vs. 54.5%, P < 0.01) and in those with macroscopic type 2 tumors (91.3% vs. 33.3%, P < 0.01). However, no significant differences in progression-free or overall survival were found based on CPS status, regardless of biopsy count.

conclusionObtaining at least five biopsy specimens enhances the detection of PD-L1 CPS ≥ 5, particularly in HER2-negative or well-circumscribed nodular AGC, potentially improving the accuracy of PD-L1 evaluation. Nevertheless, survival outcomes were unaffected, highlighting the limited predictive value of CPS.

Indexed as

B7-H1 AntigenBiomarkers, TumorStomach NeoplasmsAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBiopsyFemaleHumansMaleMiddle AgedNivolumabPrognosisRetrospective StudiesB7-H1 AntigenBiomarkers, TumorCD274 protein, humanNivolumabAdvanced gastric cancerBiopsy specimen countPD-L1 CPS

Identifiers

PMID40629017
PMCPMC12238204

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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.