Evidence map›Paper›PMID 39551185›Full record

ArticleAnnals of oncology : official journal of the European Society for Medical Oncology2025

Tumor and blood B-cell abundance outperforms established immune checkpoint blockade response prediction signatures in head and neck cancer.

T-G Chang, A Spathis, A A Schäffer, N Gavrielatou, F Kuo, D Jia, S Mukherjee, C Sievers, P Economopoulou, M Anastasiou and 14 more

Abstract read
In one paragraph

Article in Annals of oncology : official journal of the European Society for Medical Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Oncolytic virus M1 reinvigorates CD8Cellular & molecular immunology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Induced B cell receptor diversity predicts PD-1 blockade immunotherapy response.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Review
  17. Review
  18. Review
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

24 authors.

T-G ChangCancer Data Science Laboratory, Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA.
A SpathisDepartment of Pathology, Attikon University Hospital, National Kapodistrian University of Athens, Athens, Greece.
A A SchäfferCancer Data Science Laboratory, Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA.
N GavrielatouInternal Medicine/Section of Department of Medical Oncology, Attikon University Hospital, National Kapodistrian University of Athens, Athens, Greece.
F KuoDepartment of Surgery and Cancer Immunogenomics Research Program, Memorial Sloan Kettering Cancer Center, New York, USA.
D JiaImmunodynamics Group, Laboratory of Integrative Cancer Immunology, CCR, NCI, Bethesda, USA.
S MukherjeeCancer Data Science Laboratory, Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA.
C SieversSurgical Oncology Program, CCR, NCI, NIH, Bethesda, USA.
P EconomopoulouInternal Medicine/Section of Department of Medical Oncology, Attikon University Hospital, National Kapodistrian University of Athens, Athens, Greece.
M AnastasiouInternal Medicine/Section of Department of Medical Oncology, Attikon University Hospital, National Kapodistrian University of Athens, Athens, Greece.
M MoutafiInternal Medicine/Section of Department of Medical Oncology, Attikon University Hospital, National Kapodistrian University of Athens, Athens, Greece.
L R PalCancer Data Science Laboratory, Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA.
J VosDepartment of Surgery and Cancer Immunogenomics Research Program, Memorial Sloan Kettering Cancer Center, New York, USA.
A S LeeDepartment of Surgery and Cancer Immunogenomics Research Program, Memorial Sloan Kettering Cancer Center, New York, USA.
S LamDepartment of Surgery and Cancer Immunogenomics Research Program, Memorial Sloan Kettering Cancer Center, New York, USA.
K ZhaoDepartment of Surgery and Cancer Immunogenomics Research Program, Memorial Sloan Kettering Cancer Center, New York, USA.
P JiangCancer Data Science Laboratory, Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA.
C T AllenSurgical Oncology Program, CCR, NCI, NIH, Bethesda, USA; Center for Immune-Oncology, CCR, NCI, NIH, Bethesda, USA.
P FoukasDepartment of Pathology, Attikon University Hospital, National Kapodistrian University of Athens, Athens, Greece.
G GomatouInternal Medicine/Section of Department of Medical Oncology, Attikon University Hospital, National Kapodistrian University of Athens, Athens, Greece.
G Altan-BonnetImmunodynamics Group, Laboratory of Integrative Cancer Immunology, CCR, NCI, Bethesda, USA.
L G T MorrisDepartment of Surgery and Cancer Immunogenomics Research Program, Memorial Sloan Kettering Cancer Center, New York, USA. Electronic address: morrisl@mskcc.org.
A PsyrriInternal Medicine/Section of Department of Medical Oncology, Attikon University Hospital, National Kapodistrian University of Athens, Athens, Greece. Electronic address: psyrri237@yahoo.com.
E RuppinCancer Data Science Laboratory, Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA. Electronic address: eytan.ruppin@nih.gov.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Computational studies of cancer immunotherapyZIABC011803 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI RUPPIN, EYTAN · 2018 to 2025
$10.7M
Intramural NIH HHS ZIA BC011803NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundImmunotherapy has improved the outcomes for some patients with head and neck squamous-cell carcinoma (HNSCC). However, the low and variable response rates observed highlight the need for robust response biomarkers to select patients for treatment. PATIENTS AND

methodsWe assembled and analyzed a large HNSCC dataset, encompassing 11 clinical cohorts including 1232 patient samples, spanning a variety of disease subtypes and immune checkpoint blockade (ICB) treatment types, tissue sources, data modalities, and timing of measurements. We conducted a comprehensive evaluation of the predictive power of various cell types, traditional biomarkers, and emerging predictors in both blood and tumor tissues of HNSCC patients.

resultsTumor B-cell infiltration emerged as a strong and robust predictor of both patient survival and ICB response. It outperformed all other established biomarkers of response to ICB, including the tertiary lymphoid structure signature and numerous T-cell-based signatures. B-cell infiltration was associated with a 'hot' antitumor microenvironment that promotes tumor eradication. Furthermore, B-cell levels in peripheral blood mononuclear cells (PBMCs) correlated strongly with tumor B-cell levels and demonstrated high predictive value for ICB response, with high odds ratios (≥7.8) in two independent clinical cohorts.

conclusionB-cell abundance, whether assessed in PBMCs or tumor tissues, is one of the strongest predictors of ICB response in HNSCC. For translation to patient care, measuring B-cell abundance in PBMCs via cytometry offers a practical and accessible tool for clinical decision making.

Indexed as

Biomarkers, TumorB-LymphocytesHead and Neck NeoplasmsImmune Checkpoint InhibitorsSquamous Cell Carcinoma of Head and NeckFemaleHumansLymphocytes, Tumor-InfiltratingMalePrognosisTumor MicroenvironmentBiomarkers, TumorImmune Checkpoint InhibitorsB cellshead and neck cancerimmunotherapyliquid biopsytreatment response biomarkertumor microenvironment

Identifiers

PMID39551185
PMCPMC11845298

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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 OpenQuestion graph.