Evidence map›Paper›PMID 39766316›Full record

ArticleBiomolecules2024

Tumor-Infiltrating Immune Cells and HLA Expression as Potential Biomarkers Predicting Response to PD-1 Inhibitor Therapy in Stage IV Melanoma Patients.

Barbara Hegyi, Kristóf György Csikó, Tímea Balatoni, Georgina Fröhlich, Katalin Bőcs, Erika Tóth, Anita Mohos, Anna Rebeka Neumark, Csenge Dorottya Menyhárt, Soldano Ferrone and 1 more

Abstract read
In one paragraph

Article in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

11 authors.

Barbara Hegyi *Department of Chest and Abdominal Tumors and Clinical Pharmacology, National Institute of Oncology, H-1122 Budapest, Hungary.
Kristóf György Csikó *Department of Chest and Abdominal Tumors and Clinical Pharmacology, National Institute of Oncology, H-1122 Budapest, Hungary.
Tímea BalatoniNational Tumor Biology Laboratory, National Institute of Oncology, H-1122 Budapest, Hungary.
Georgina FröhlichCenter of Radiotherapy, National Institute of Oncology, H-1122 Budapest, Hungary.ORCID 0000-0001-6428-6536
Katalin BőcsDepartment of Diagnostic Radiology, National Institute of Oncology, H-1122 Budapest, Hungary.
Erika TóthNational Tumor Biology Laboratory, National Institute of Oncology, H-1122 Budapest, Hungary.ORCID 0000-0003-2054-8447
Anita MohosDepartment of Pathology and Experimental Cancer Research, Semmelweis University, H-1085 Budapest, Hungary.
Anna Rebeka NeumarkFaculty of Medicine, Semmelweis University, H-1085 Budapest, Hungary.
Csenge Dorottya MenyhártFaculty of Science, Eötvös Loránd University, H-1117 Budapest, Hungary.
Soldano FerroneDepartment of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0003-2900-8834
Andrea LadányiNational Tumor Biology Laboratory, National Institute of Oncology, H-1122 Budapest, Hungary.ORCID 0000-0001-9304-8473

Funding

National Research, Development and Innovation Office ANN 128524National Research, Development and Innovation Office National Tumor Biology Laboratory, 2022-2.1.1-NL-202200010
6 · The paper itself

Abstract

PD-1 inhibitors are known to be effective in melanoma; however, a considerable proportion of patients fail to respond to therapy, necessitating the identification of predictive markers. We examined the predictive value of tumor cell HLA class I and II expression and immune cell infiltration in melanoma patients treated with PD-1 inhibitors. Pretreatment surgical samples from 40 stage IV melanoma patients were studied immunohistochemically for melanoma cell expression of HLA class I molecules (using four antibody clones with different specificities), HLA-II, and immune cell infiltration (using a panel of 10 markers). Among the responders, the ratio of patients showing melanoma cell HLA-II expression was higher compared to non-responders (

Indexed as

Biomarkers, TumorMelanomaAdultAgedAged, 80 and overFemaleHistocompatibility Antigens Class IHumansImmune Checkpoint InhibitorsLymphocytes, Tumor-InfiltratingMaleMiddle AgedNeoplasm StagingProgrammed Cell Death 1 ReceptorBiomarkers, TumorHistocompatibility Antigens Class IImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorbiomarkerHLA class I and II expressionimmunotherapymelanomaPD-1 inhibitorstumor-infiltrating immune cells

Identifiers

PMID39766316
PMCPMC11674713

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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.