Evidence map›Paper›PMID 41182434›Full record

ArticleCancer immunology, immunotherapy : CII2025

CD40 transcriptomic expression patterns across malignancies: implications for clinical trials of CD40 agonists.

Yuji Uehara, Daisuke Nishizaki, Yu Fujiwara, Hirotaka Miyashita, Suzanna Lee, Sarabjot Pabla, Paul DePietro, Heidi Ko, Taylor J Jensen, Jason K Sicklick and 2 more

Abstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

12 authors.

Yuji Uehara *Department of Experimental Therapeutics, National Cancer Center Hospital, 5 Chome-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan. yuuji.csa@gmail.com.
Daisuke Nishizaki *Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, University of California San Diego (UCSD), Moores Cancer Center, 3855 Health Sciences Drive, La Jolla, CA, 92093, USA. dnishizaki@health.ucsd.edu.
Yu FujiwaraDepartment of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Hirotaka MiyashitaDepartment of Oncology, Dartmouth Cancer Center, Lebanon, NH, USA.
Suzanna LeeCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, University of California San Diego (UCSD), Moores Cancer Center, 3855 Health Sciences Drive, La Jolla, CA, 92093, USA.
Sarabjot PablaLabcorp, Buffalo, NY, USA.
Paul DePietroLabcorp, Buffalo, NY, USA.
Heidi KoLabcorp, Durham, NC, USA.
Taylor J JensenLabcorp, Buffalo, NY, USA.
Jason K SicklickDivision of Surgical Oncology, Department of Surgery, Center for Personalized Cancer Therapy, University of California San Diego, La Jolla, CA, USA.
Shumei Kato *Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, University of California San Diego (UCSD), Moores Cancer Center, 3855 Health Sciences Drive, La Jolla, CA, 92093, USA. smkato@health.ucsd.edu.
Razelle Kurzrock *MCW Cancer Center and Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA. rkurzrock@mcw.edu.

Funding

SWOG Network Group Operations Center of the NCTNU10CA180888 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DAWN HERSHMAN, PRIMO N. LARA · 2014 to 2026
$152.1M
NCI NIH HHS U10 CA180888NIH/NCI 5U01CA180888-08
6 · The paper itself

Abstract

backgroundCD40 is a T-cell co-stimulatory receptor targeted by next-generation immunotherapies. We conducted a pan-cancer transcriptome analysis of CD40, its ligand, and related immune markers to evaluate co-expression patterns and clinical outcomes.

methodsWe analyzed transcriptome data for CD40, its ligand, and other common checkpoints and co-stimulators (PD-1, PD-L1, PD-L2, CTLA-4, LAG-3, ICOS, CD27, CD28, OX40, and GITR). RNA expression was classified as high (75-100th percentile), moderate (25-74th), or low (0-24th) against a reference population of 735 previously tested solid tumors.

resultsOf 514 patients, 114 (22%) showed high, 247 (48%) moderate, and 153 (30%) low CD40 RNA expression. High CD40 expression was most frequent in liver and bile duct (42%), pancreatic (42%), and ovarian (40%) cancers. Both high CD40 and low-moderate CD40 ligand expression-potentially conducive to CD40 agonist therapy-was most frequent in ovarian (33%) and pancreatic (24%) cancer. In both UCSD (N = 514) and TCGA (N = 10,953) cohorts, high CD40 expression significantly correlated with high CD28 and GITR. High CD40 RNA levels were not prognostic for overall survival (OS) from metastatic disease (P = 0.2) (n = 272 immune checkpoint inhibitor (ICI)-naïve patients). High CD40 expression correlated with longer OS from immunotherapy initiation (n = 217 ICI-treated patients; P = 0.04, univariable analysis), but not multivariable analysis, suggesting it may not be an independent predictive biomarker.

conclusionHigh CD40 expression correlated with liver and bile duct, pancreatic, and ovarian cancers, as well as with CD28 and GITR transcripts. Immune marker co-expression in individual patients merits further exploration for the development of CD40-based and other immunotherapy interventions.

Indexed as

Biomarkers, TumorCD40 AntigensNeoplasmsTranscriptomeAgedClinical Trials as TopicFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmunotherapyMaleMiddle AgedPrognosisBiomarkers, TumorCD40 AntigensBiomarkersClinical trialsCombination therapyImmune checkpointsTNFRSF5

Identifiers

PMID41182434
PMCPMC12583269

What OpenQuestion holds

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LicenceCC BY
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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.