Evidence map›Paper›PMID 40768679›Full record

ArticleJCO precision oncology2025

Pan-Cancer Landscape of B- and T-Lymphocyte Attenuator: Implications for Potential Immunotherapy Combinations.

Daisuke Nishizaki, Sharon Choi, Chinmayi Pandya, Suzanna Lee, Sarabjot Pabla, Paul DePietro, Taylor J Jensen, Razelle Kurzrock, Shumei Kato

Abstract read
In one paragraph

Article in JCO precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. A Tumor-Boundary Niche Enriched for PD-1Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

9 authors.

Daisuke NishizakiCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, University of California San Diego, Moores Cancer Center, La Jolla, CA.ORCID 0000-0002-6746-3224
Sharon ChoiCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, University of California San Diego, Moores Cancer Center, La Jolla, CA.ORCID 0009-0008-8439-9288
Chinmayi PandyaCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, University of California San Diego, Moores Cancer Center, La Jolla, CA.ORCID 0009-0001-7910-849X
Suzanna LeeCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, University of California San Diego, Moores Cancer Center, La Jolla, CA.ORCID 0000-0002-9502-4907
Sarabjot PablaLabcorp, Buffalo, NY.
Paul DePietroLabcorp, Buffalo, NY.ORCID 0000-0001-9072-0631
Taylor J JensenLabcorp, Buffalo, NY.
Razelle KurzrockMCW Cancer Center and Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI.ORCID 0000-0003-4110-1214
Shumei KatoCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, University of California San Diego, Moores Cancer Center, La Jolla, CA.

Funding

SWOG Network Group Operations Center of the NCTNU10CA180888 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI PRIMO N. LARA · 2014 to 2026
$152.1M
Medical College of Wisconsin Lead Academic Participating Site RenewalUG1CA233198 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI William H Bradley, Elizabeth M Gore · 2019 to 2026
$5.0M
NCI NIH HHS U10 CA180888NCI NIH HHS UG1 CA233198
6 · The paper itself

Abstract

purposeCotargetable immune pathways for available immune checkpoint inhibitors (ICIs) may mediate response and mitigate resistance. Immune profiling may provide insights into potential immunotherapy combinations and guide ongoing clinical trials. This study investigated the transcriptomic expression and clinical implications of B- and T-lymphocyte attenuator (BTLA), a promising immune target.

methodsAltogether, 514 advanced/metastatic samples (pan-solid cancers) were analyzed using RNA sequencing. Transcriptomic expression was normalized to a reference population of 735 tumors and expressed as percentiles. BTLA, BTLA-related markers (herpes virus entry mediator [HVEM], CD160, LIGHT), and currently targetable immune pathway checkpoints (PD-1, PD-L1, PD-L2, cytotoxic T-cell lymphocyte-4 [CTLA-4], lymphocyte-activation gene 3) as well as clinical outcomes were evaluated.

resultsHigh BTLA RNA expression (≥75th percentile) was observed in 19% of tumors (96 of 514). Approximately half of these patients (44 of 96) exhibited higher coexpression (RNA) of targetable checkpoints (cluster analysis). High BTLA expression was independently associated with elevated PD-1, CTLA-4, HVEM, and CD160 RNA levels and with a breast cancer diagnosis. Outcome analysis (Kaplan-Meier) indicated that high BTLA expression correlated with significantly longer survival among ICI recipients in univariable analysis, with a trend in multivariable Cox regression (adjusted hazard ratio, 0.43 [95% CI, 0.17 to 1.08],

conclusionHigh BTLA transcript expression correlates with high transcript levels of PD-1 and CTLA-4 and with high levels of its ligand HVEM. These findings might support combining anti-PD-1 or anti-CTLA-4 therapy with anti-BTLA. BTLA expression varied across cancers and showed diverse coexpression patterns with other immune markers, suggesting that individual immunomic analysis is needed as part of a precision immunotherapy approach to understanding response and resistance.

Indexed as

ImmunotherapyNeoplasmsReceptors, ImmunologicAgedBiomarkers, TumorFemaleHumansImmune Checkpoint InhibitorsMaleMiddle AgedReceptors, Tumor Necrosis Factor, Member 14Biomarkers, TumorBTLA protein, humanImmune Checkpoint InhibitorsReceptors, ImmunologicReceptors, Tumor Necrosis Factor, Member 14

Identifiers

PMID40768679
PMCPMC12331147

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.