Evidence map›Paper›PMID 42602009›Full record

ArticleFrontiers in immunology2026

Tumor-infiltrating immune cell types predicting recurrence-free survival in melanoma patients receiving adjuvant PD-1 inhibitor therapy.

Andrea Ladányi, Georgina Fröhlich, Barbara Hegyi, Patrik Horváth, Tímea Balatoni

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

5 authors.

Andrea LadányiDepartment of Surgical and Molecular Pathology, National Institute of Oncology, Budapest, Hungary.
Georgina FröhlichCenter of Radiotherapy, National Institute of Oncology, Budapest, Hungary.
Barbara HegyiNational Tumor Biology Laboratory, National Institute of Oncology, Budapest, Hungary.
Patrik HorváthDepartment of Oncodermatology, National Institute of Oncology, Budapest, Hungary.
Tímea BalatoniNational Tumor Biology Laboratory, National Institute of Oncology, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adjuvant treatment of melanoma patients with PD-1-based immunotherapy has improved recurrence rate, and became a standard treatment. However, a considerable proportion of patients recur within 1-2 years, necessitating the identification of predictive markers. Our study aimed to examine the association of intratumoral infiltration by specific immune cell subsets with the recurrence-free survival of melanoma patients receiving adjuvant PD-1 inhibitor therapy. Materials and methods: Archived paraffin blocks of pretreatment surgical samples from 48 melanoma patients receiving adjuvant PD-1 inhibitor therapy were selected. Intratumoral density of immune cells expressing the following markers: CD8, FOXP3, CD20, CD103, CD134, PD-1, and PD-L1 was determined by immunohistochemistry, and the associations with recurrence-free survival were analyzed. Results: Eighteen of the 48 patients developed recurrence during the follow-up period. In this group the ratio of patients showing strong immune cell infiltration (higher than the cutoff values defined by ROC curve analysis) was significantly lower compared to recurrence-free patients in the case of CD8 Conclusions: Our findings indicate the importance of immune cell infiltration in the efficacy of adjuvant PD-1 inhibitor treatment in a "real world" patient cohort.

Indexed as

Immune Checkpoint InhibitorsLymphocytes, Tumor-InfiltratingMelanomaAdultAgedAged, 80 and overBiomarkers, TumorChemotherapy, AdjuvantDisease-Free SurvivalFemaleHumansMaleMiddle AgedNeoplasm Recurrence, LocalProgrammed Cell Death 1 ReceptorBiomarkers, TumorImmune Checkpoint InhibitorsPDCD1 protein, humanProgrammed Cell Death 1 ReceptoradjuvantbiomarkerimmunotherapymelanomaPD-1 inhibitorstumor-infiltrating immune cells

Identifiers

PMID42602009
PMCPMC13473003

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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.