Evidence map›Paper›PMID 39820025›Full record

ReviewNature reviews. Clinical oncology2025

Biological and clinical significance of tumour-infiltrating lymphocytes in the era of immunotherapy: a multidimensional approach.

Miguel Lopez de Rodas, Maria Villalba-Esparza, Miguel F Sanmamed, Lieping Chen, David L Rimm, Kurt A Schalper

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 2 pooled it
–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

60 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Loss of NCCRP1 overcomes immune evasion in lung adenocarcinoma.Journal for immunotherapy of cancer · 2026
    Article
  9. Review
  10. Article
  11. Adaptive resistance in cancer immunotherapy.Cellular & molecular immunology · 2026
    Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. From spatial maps to therapeutic targets: Next challenge for artificial intelligence in cancer spatial omics.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2026
    Article
  19. Article
  20. 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

6 authors.

Miguel Lopez de RodasDepartment of Pathology and Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-6062-4064
Maria Villalba-EsparzaDepartment of Pathology and Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-9183-0610
Miguel F SanmamedDepartment of Immunology and Immunotherapy, Centro de Investigación Médica Aplicada and Clínica Universidad de Navarra, Pamplona, Navarra, Spain.
Lieping ChenDepartment of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.
David L RimmDepartment of Pathology and Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0001-5820-4397
Kurt A SchalperDepartment of Pathology and Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA. kurt.schalper@yale.edu.ORCID http://orcid.org/0000-0001-5692-4833

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune-checkpoint inhibitors (ICIs) have improved clinical outcomes across several solid tumour types. Prominent efforts have focused on understanding the anticancer mechanisms of these agents, identifying biomarkers of response and uncovering resistance mechanisms to develop new immunotherapeutic approaches. This research has underscored the crucial roles of the tumour microenvironment and, particularly, tumour-infiltrating lymphocytes (TILs) in immune-mediated tumour elimination. Numerous studies have evaluated the prognostic and predictive value of TILs and the mechanisms that govern T cell dysfunction, fuelled by technical developments in single-cell transcriptomics, proteomics, high-dimensional spatial platforms and advanced computational models. However, questions remain regarding the definition of TILs, optimal strategies to study them, specific roles of different TIL subpopulations and their clinical implications in different treatment contexts. Additionally, most studies have focused on the abundance of major TIL subpopulations but have not developed standardized quantification strategies or analysed other crucial aspects such as their functional profile, spatial distribution and/or arrangement, tumour antigen-reactivity, clonal diversity and heterogeneity. In this Review, we discuss a conceptual framework for the systematic study of TILs and summarize the evidence regarding their biological properties and biomarker potential for ICI therapy. We also highlight opportunities, challenges and strategies to support future developments in this field.

Indexed as

Immune Checkpoint InhibitorsImmunotherapyLymphocytes, Tumor-InfiltratingNeoplasmsBiomarkers, TumorClinical RelevanceHumansTumor MicroenvironmentBiomarkers, TumorImmune Checkpoint Inhibitors

Identifiers

What OpenQuestion holds

Textmetadata
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.