Evidence map›Paper›PMID 39941847›Full record

SynthesisCancers2025

Evaluating Tumour Mutational Burden as a Key Biomarker in Personalized Cancer Immunotherapy: A Pan-Cancer Systematic Review.

Anca Zgura, Stefania Chipuc, Nicolae Bacalbasa, Bogdan Haineala, Anghel Rodica, Vâlcea Sebastian

Abstract readSystematic Review
In one paragraph

Synthesis in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Systemic Therapy for Solitary Fibrous Tumor.Current treatment options in oncology · 2026
    Review
  2. Article
  3. Article
  4. Tumor cell intrinsic mechanisms of immune escape.Cell communication and signaling : CCS · 2026
    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

6 authors.

Anca ZguraDepartment of Oncology-Radiotherapy, Prof. Dr. Alexandru Trestioreanu Institute of Oncology, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.
Stefania ChipucProf. Dr. Alexandru Trestioreanu Institute of Oncology, 022328 Bucharest, Romania.
Nicolae BacalbasaDepartment of Surgery, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Bogdan HainealaDepartment of Urology, "Fundeni" Clinical Institute, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Anghel RodicaDepartment of Oncology-Radiotherapy, Prof. Dr. Alexandru Trestioreanu Institute of Oncology, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.
Vâlcea SebastianDepartment of Surgery, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumour mutational burden (TMB) is an emerging biomarker for predicting the efficacy of immune checkpoint inhibitors (ICIs) in cancer therapy. While its role is well established in lung cancer and melanoma, its predictive value for breast and prostate cancers remains unclear.

objectiveThis systematic review aimed to assess the predictive value of TMB for ICI therapy across four major cancer types-lung, melanoma, breast, and prostate-and to explore factors contributing to the variability in its effectiveness as a biomarker.

methodsA systematic search and a review of the literature were conducted in accordance with PRISMA guidelines. Studies examining the relationship between TMB levels and clinical outcomes following ICI therapy in the specified cancers were analyzed. The data were synthesized to evaluate TMB's predictive value and identify gaps in the current research.

resultsHigh TMB consistently correlated with improved outcomes in lung cancer and melanoma, confirming its predictive utility in these cancers. Conversely, the findings for breast and prostate cancers were inconclusive. The variability in TMB's predictive value for these cancers suggests the need for complementary biomarkers or refined criteria to enhance its reliability. Methodological inconsistencies in TMB evaluation were also noted as a significant limitation.

conclusionsTMB serves as a robust biomarker for predicting ICI response in lung cancer and melanoma, but demonstrates limited predictive utility in breast and prostate cancers. Future research should prioritize standardizing TMB assessment protocols and investigating additional biomarkers to improve treatment personalization for these cancer types.

Indexed as

biomarkerscancer immunotherapyimmune checkpoint inhibitors (ICIs)personalized medicinesystematic reviewtumour mutational burden (TMB)

Identifiers

PMID39941847
PMCPMC11816366

What Socratic holds

Textmetadata
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 Socratic graph.