Trial reportJournal for immunotherapy of cancer2023
Evaluation of tissue- and plasma-derived tumor mutational burden (TMB) and genomic alterations of interest in CheckMate 848, a study of nivolumab combined with ipilimumab and nivolumab alone in patients with advanced or metastatic solid tumors with high TMB.
Trial report in Journal for immunotherapy of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03668119 (A Randomized, Open-Label, Phase 2 Study of Nivolumab in Combination With Ipilimumab or Nivolumab Monotherapy in Participants With Advanced or Metastatic Solid Tumors of High Tumor Mutational Burden), which is not on this map. Cited by 17 papers.
What it found
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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.
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.
A Randomized, Open-Label, Phase 2 Study of Nivolumab in Combination With Ipilimumab or Nivolumab Monotherapy in Participants With Advanced or Metastatic Solid Tumors of High Tumor Mutational Burden (TMB-H)
Who cites it
17 citing papers in PubMed, 16 citations in OpenAlex.
- Circulating tumor DNA monitoring and blood tumor mutational burden in patients with metastatic solid tumors treated with atezolizumab.Molecular oncology · 2025Trial
- Randomized, open-label, phase 2 study of nivolumab plus ipilimumab or nivolumab monotherapy in patients with advanced or metastatic solid tumors of high tumor mutational burden.Journal for immunotherapy of cancer · 2024Trial
- Towards liquid biopsy-based analysis of antitumour immunity.Nature reviews. Clinical oncology · 2026Review
- Patterns of Response to Immune Checkpoint Inhibitors in Sarcomas With High Tumor Burden and/or Mismatch Repair Deficiency.JCO precision oncology · 2026Article
- The Immunological Landscape of the Tumor Microenvironment: Implications for Immunotherapy of Unresectable and Metastatic Soft Tissue Sarcomas.Current treatment options in oncology · 2026Review
- Expert consensus on the detection and clinical application of tumor mutational burden.Cancer biology & medicine · 2026Article
- Peripheral blood biomarkers for predicting response to PD-1/PD-L1 inhibitors.Biomarker research · 2026Review
- Immunotherapy in advanced biliary tract cancer: current status and future directions.Frontiers in pharmacology · 2026Review
- Prognostic value of ctDNA-derived maximum somatic allele frequency in patients with metastatic gastric cancer.Therapeutic advances in medical oncology · 2026Article
- TMB as a predictive biomarker for ICI response in TNBC: current evidence and future directions for augmented anti-tumor responses.Clinical and experimental medicine · 2025Review
- Analytical Validation of Blood-Derived Tumor Mutation Burden (bTMB) Assays: A Joint Consensus Recommendation of the BLOODPAC bTMB Analytical Validation Working Group.The Journal of molecular diagnostics : JMD · 2025Review
- Utility of Germline, Somatic and ctDNA Testing in Adults With Cancer.Cancer medicine · 2025Review
- Tumor mutational burden status and clinical characteristics of invasive lobular carcinoma of the breast.Breast cancer (Tokyo, Japan) · 2025Article
- Development of a prognostic oxidative stress-immune-inflammation score and online calculators for predicting survival and recurrence in gastric cancer: a multicenter study.Surgical endoscopy · 2025Article
- Article
- The Importance of Predictive Biomarkers and Their Correlation with the Response to Immunotherapy in Solid Tumors-Impact on Clinical Practice.Biomedicines · 2024Review
- Metabolic checkpoints in glioblastomas: targets for new therapies and non-invasive detection.Frontiers in oncology · 2024Review
Corrections and comments
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Authors and funding
13 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAn accumulation of somatic mutations in tumors leads to increased neoantigen levels and antitumor immune response. Tumor mutational burden (TMB) reflects the rate of somatic mutations in the tumor genome, as determined from tumor tissue (tTMB) or blood (bTMB). While high tTMB is a biomarker of immune checkpoint inhibitor (ICI) treatment efficacy, few studies have explored the clinical utility of bTMB, a less invasive alternative for TMB assessment. Establishing the correlation between tTMB and bTMB would provide insight into whether bTMB is a potential substitute for tTMB. We explored the tumor genomes of patients enrolled in CheckMate 848 with measurable TMB. The correlation between tTMB and bTMB, and the factors affecting it, were evaluated.
methodsIn the phase 2 CheckMate 848 (NCT03668119) study, immuno-oncology-naïve patients with advanced, metastatic, or unresectable solid tumors and tTMB-high or bTMB-high (≥10 mut/Mb) were prospectively randomized 2:1 to receive nivolumab plus ipilimumab or nivolumab monotherapy. Tissue and plasma DNA sequencing was performed using the Foundation Medicine FoundationOne CDx and bTMB Clinical Trial Assays, respectively. tTMB was quantified from coding variants, insertions, and deletions, and bTMB from somatic base substitutions. Correlations between tTMB and bTMB were determined across samples and with respect to maximum somatic allele frequency (MSAF). Assay agreement and variant composition were also evaluated.
resultsA total of 1,438 and 1,720 unique tissue and blood samples, respectively, were obtained from 1,954 patients and included >100 screened disease ontologies, with 1,017 unique pairs of tTMB and bTMB measurements available for assessment. Median tTMB and bTMB were 3.8 and 3.5 mut/Mb, respectively. A significant correlation between tTMB and bTMB (r=0.48, p<0.0001) was observed across all sample pairs, which increased to r=0.54 (p<0.0001) for samples with MSAF≥1%. Assay concordance was highest for samples with MSAF≥10% across multiple disease ontologies and observed for both responders and non-responders to ICI therapy. The variants contributing to tTMB and bTMB were similar.
conclusionsWe observed that tTMB and bTMB had a statistically significant correlation, particularly for samples with high MSAF, and that this correlation applied across disease ontologies. Further investigation into the clinical utility of bTMB is warranted.
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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.