Evidence map›Paper›PMID 42782574›Full record

ArticleInternational journal of clinical oncology2026

Efficacy and biomarker analysis for nivolumab in cancer of unknown primary: results from an investigator-initiated expanded access program.

Junko Tanizaki, Kan Yonemori, Yuichi Takiguchi, Kohei Akiyoshi, Keigo Komine, Yusuke Onozawa, Mariko Sato, Kenro Hirata, Takuma Onoe, Ryotaro Ohkuma and 12 more

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Article in International journal of clinical 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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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

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4 · The record

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5 · Who and what money

Authors and funding

22 authors.

Junko TanizakiDepartment of Medical Oncology, Kindai University Faculty of Medicine, 1-14-1 Mihara-dai, Minami-ku, Sakai, Osaka, 590-0197, Japan.
Kan YonemoriDepartment of Medical Oncology, National Cancer Center Hospital, Tokyo, Japan.
Yuichi TakiguchiMedical Oncology Department, Chiba University, Chiba, Japan.
Kohei AkiyoshiDepartment of Medical Oncology, Osaka City General Hospital, Osaka, Japan.
Keigo KomineDepartment of Medical Oncology, Tohoku University Hospital, Sendai, Japan.
Yusuke OnozawaDivision of Clinical Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Mariko SatoDepartment of Medical Oncology, NHO Nagoya Medical Center, Nagoya, Japan.
Kenro HirataDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
Takuma OnoeDepartment of Medical Oncology, Hyogo Cancer Center, Akashi, Japan.
Ryotaro OhkumaDepartment of Medicine, Division of Medical Oncology, Graduate School of Medicine, Showa Medical University, Tokyo, Japan.
Yosuke HoritaDepartment of Medical Oncology, Saitama Medical University International Medical Center, Saitama, Japan.
Hironobu MinamiDepartment of Medical Oncology/Hematology, Kobe University Graduate School of Medicine and Hospital, Kobe, Japan.
Kazunori HondaDepartment of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya, Japan.
Koichi SuyamaDepartment of Medical Oncology, Toranomon Hospital, Tokyo, Japan.
Akihiko ItoDepartment of Pathology, Kindai University Faculty of Medicine, Osaka, Japan.
Yasutaka ChibaClinical Research Center, Kindai University Hospital, Osaka, Japan.
Hiroko WatanabeDepartment of Tumor Microenvironment, Faculty of Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.
Yosuke TogashiDepartment of Tumor Microenvironment, Faculty of Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.
Kazuko SakaiDepartment of Genome Biology, Kindai University Faculty of Medicine, Osaka, Japan.
Kazuto NishioDepartment of Genome Biology, Kindai University Faculty of Medicine, Osaka, Japan.
Kazuhiko NakagawaKindai University Hospital Cancer Center, Osaka, Japan.
Hidetoshi HayashiDepartment of Medical Oncology, Kindai University Faculty of Medicine, 1-14-1 Mihara-dai, Minami-ku, Sakai, Osaka, 590-0197, Japan. hidet31@med.kindai.ac.jp.ORCID http://orcid.org/0000-0001-8787-5587

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer of unknown primary (CUP) remains a challenging malignancy with a poor prognosis. Although immune checkpoint inhibitors have shown activity in CUP, available data remains limited. We describe clinical outcomes and a comprehensive biomarker analysis from an expanded access trial of nivolumab in CUP.

methodsPatients with CUP were enrolled regardless of treatment history and received intravenous nivolumab (240 mg every 2 weeks or 480 mg every 4 weeks) until disease progression, unacceptable toxicity, or withdrawal. Enrollment concluded after regulatory approval of nivolumab for CUP in Japan. The primary objective was safety; secondary endpoints addressed efficacy, and exploratory biomarker analyses were performed.

resultsA total of 53 patients (31 previously treated, 22 untreated) received nivolumab. Adverse events (AEs) occurred in 77.4% of patients, including 24.5% grade 3-4 and 15.1% serious AEs; no treatment-related deaths occurred. The objective response rate was 17.0% (95% confidence interval [CI] 8.1-29.8%) overall and 20.5% (95% CI 9.8-35.3%) in the response-evaluable subset. Median progression-free survival was 4.5 months (95% CI 2.9-7.9) and median overall survival was 17.5 months (95% CI 11.9-25.1). Higher PD-L1 expression was associated with better efficacy, whereas no meaningful differences were observed across estimated tissue-of-origin subgroups.

conclusionsThis study provides additional prospective evidence consistent with the preceding NivoCUP trial, supporting the reproducibility of the efficacy and safety of nivolumab for patients with CUP. These findings support PD-1-targeted therapy as a feasible treatment option for this rare malignancy.

trial registrationJapan Registry of Clinical Trials (jRCT) identifier, jRCT2051200146.

Indexed as

Cancer of unknown primary (CUP)Expanded access programNivolumab

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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.