Evidence map›Paper›PMID 37057033›Full record

ArticleCancer research communications2023

Digital Spatial Profiling Links Beta-2-microglobulin Expression with Immune Checkpoint Blockade Outcomes in Head and Neck Squamous Cell Carcinoma.

Niki Gavrielatou, Ioannis Vathiotis, Thazin Nwe Aung, Saba Shafi, Sneha Burela, Aileen I Fernandez, Myrto Moutafi, Barbara Burtness, Panagiota Economopoulou, Maria Anastasiou and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancer research communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
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  7. Multiplex protein imaging in tumour biology.Nature reviews. Cancer · 2024
    Review
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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

13 authors at 2 institutions in 2 countries.

Niki GavrielatouDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0003-1380-6831
Ioannis VathiotisDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0003-3467-7629
Thazin Nwe AungDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0003-4150-0426
Saba ShafiDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0002-8468-2402
Sneha BurelaDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0003-0287-0336
Aileen I FernandezDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0001-7442-6635
Myrto MoutafiDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0002-9314-3187
Barbara BurtnessDepartment of Internal Medicine, Section of Medical Oncology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0003-4660-1859
Panagiota EconomopoulouDepartment of Internal Medicine, Section of Medical Oncology, Attikon University Hospital, National Kapodistrian University of Athens, Athens, Greece.ORCID 0000-0001-8871-3264
Maria AnastasiouDepartment of Internal Medicine, Section of Medical Oncology, Attikon University Hospital, National Kapodistrian University of Athens, Athens, Greece.ORCID 0000-0003-0047-8090
Periklis FoukasDepartment of Internal Medicine, Section of Medical Oncology, Attikon University Hospital, National Kapodistrian University of Athens, Athens, Greece.ORCID 0000-0002-6053-7841
Amanda PsyrriDepartment of Internal Medicine, Section of Medical Oncology, Attikon University Hospital, National Kapodistrian University of Athens, Athens, Greece.ORCID 0000-0002-4321-766X
David L RimmDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0001-5820-4397
Yale University · USNational and Kapodistrian University of Athens · GR

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Head and Neck Cancer SPORE: Overcoming Treatment Resistance in Head and Neck CancerP50DE030707 · NIDCR · YALE UNIVERSITY · PI TOWNSEND, JEFFREY PETER · 2020 to 2024
$11.8M
NCATS NIH HHS UL1 TR001863NIDCR NIH HHS P50 DE030707
6 · The paper itself

Abstract

Programmed cell death protein-1 (PD-1)-targeted immunotherapy is approved for recurrent or metastatic head and neck squamous cell carcinoma (R/M HNSCC) treatment. Although its efficacy correlates with PD-L1 expression, response is limited even among positive cases. We employed digital spatial profiling (DSP) to discover potential biomarkers of immunotherapy outcomes in HNSCC. Fifty prospectively collected, pretreatment biopsy samples from patients with anti-PD-1-treated R/M HNSCC, were assessed using DSP, for 71 proteins in four molecularly defined compartments (tumor, leukocyte, macrophage, and stroma). Markers were evaluated for associations with progression-free (PFS) and overall survival (OS). High beta-2 microglobulin (B2M), LAG-3, CD25, and 4-1BB in tumor; high B2M, CD45, CD4 in stroma, and low fibronectin in the macrophage compartment, correlated with prolonged PFS. Improved PFS and OS were observed for cases with high B2M by quantitative and mRNA. Findings were validated in an independent cohort for PFS (HR, 0.41; 95% confidence interval, 0.19-0.93; Significance: In the current study, DSP revealed the positive association of B2M expression in the tumor compartment with immunotherapy outcomes in R/M HNSCC.

Indexed as

CarcinomaHead and Neck NeoplasmsHumansImmune Checkpoint InhibitorsNeoplasm Recurrence, LocalSquamous Cell Carcinoma of Head and NeckImmune Checkpoint Inhibitors

Identifiers

PMID37057033
PMCPMC10088911
OpenAlexW4323542890

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.