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The Challenges of Tumor Mutational Burden as an Immunotherapy Biomarker
Open accessAbstract
Tumor mutational burden (TMB) reflects cancer mutation quantity. Mutations are processed to neo-antigens and presented by major histocompatibility complex (MHC) proteins to T cells. To evade immune eradication, cancers exploit checkpoints that dampen T cell reactivity. Immune checkpoint inhibitors (ICIs) have transformed cancer treatment by enabling T cell reactivation; however, response biomarkers are required, as most patients do not benefit. Higher TMB results in more neo-antigens, increasing chances for T cell recognition, and clinically correlates with better ICI outcomes. Nevertheless, TMB is an imperfect response biomarker. A composite predictor that also includes critical variables, such as MHC and T cell receptor repertoire, is needed.
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“In certain tumour types, the number of neoantigens in a tumour (or tumour mutational burden (TMB)) is correlated with responsiveness to ICIs67,68.”
From Adjuvant and neoadjuvant immunotherapies in hepatocellular carcinoma (2024) · cites this paper as [67]
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Hu, Z., Guo, X., Li, Z., Meng, Z., & Huang, S. (2024) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2024.189126 · Cited by 23
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“Research has shown that microsatellite instability, copy number variation, tumor mutation burden, and tumor neoantigen load are closely related to tumor immunity and immunotherapy sensitivity [35,37-40].”
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Xu, S., Huang, Z., Li, Y., Lu, L., & Ma, W. (2026) · Cancer Letters · doi:10.1016/j.canlet.2026.218359 · Cited by 24
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“Prospective validation remains limited: most predictors are retrospective, and clinical translation requires evidence that acting on predictions improves outcomes (6, 125).”
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“[71] To improve the effectiveness of immunotherapy in pancreatic cancer, we must overcome the insufficient antigenic specificity and scarcity of neoantigens in pancreatic cancer.[106] First and foremost, with the application of high-throughput whole-genome sequencing technology and development of neoantigen detection…”
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Li, X., He, Y., Wu, J., Qiu, J., Li, J., Wang, Q., Jiang, Y., & Han, J. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac360 · Cited by 20
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“Next-generation sequencing (NGS) has demonstrated that this high mutational load can predict benefit from immunotherapy due to the immunogenic nature of neoantigens generated from the increased burden of somatic mutations [35,36].”
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“In addition, there are some limiting factors in the detection of tumor mutational burden, such as difficult sampling and unclear threshold definition [15].”
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“Although TMB-High serves as a pan-cancer biomarker of pembrolizumab treatment approved by the FDA (52, 53), TMB faces numerous challenges (54, 55).”
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“The tumour somatic mutational burden is broadly correlated with the likelihood of clinical benefit from immune checkpoint inhibitors, due to increased neo-epitope load for T-cell recognition, across a broad range of tumour types; however, the development of TMB as a valid, robust, easily applied predictive biomarker i…”
BackgroundLiquid biopsy biomarkers to guide immunotherapy in breast cancer
Yang, J., Qiu, L., Wang, X., Chen, X., Cao, P., Yang, Z., & Wen, Q. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1303491 · Cited by 18
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“Chimeric antigen receptor T (CAR-T) cell therapy is a personalized immunotherapy approach that has made some progress in BRCA treatment (28).”
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Rajagopal, D., MacLeod, E., Corogeanu, D., & Vessillier, S. (2024) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.18470 · Cited by 20
“26 Several studies report improved ICI efficacy in cancers with high TMB 27–29 and a positive correlation with irAEs has been reported across multiple tumour types following ICI therapy.”
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Harnessing Liquid Biopsies to Guide Immune Checkpoint Inhibitor Therapy
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“Baseline counts as well as dynamic changes in these cell lineages can provide important insights into the interaction between the host immune system, introduction of ICIs, and cancer.”
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“Tumor mutational burden (TMB) and microsatellite instability (MSI) are genomic biomarkers used to identify patients who are likely to benefit from immune checkpoint inhibitors (Jardim et al., 2021; Palmeri et al., 2022).”
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“Tumor MSI status and TMB have been shown to play a significant role in the therapeutic efficacy of immune checkpoint inhibitors [22,23].”
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“The reduced expression of molecular targets, particularly PD-L1, on neoplastic cells results in primary tumor resistance to pembrolizumab [56,57] Other causes of resistance to immunotherapy are a low neoantigen load on tumor cells, allowing them to overcome immune surveillance [58], and immunosuppression brought about…”
BackgroundLi, M., Zhao, Z., Mak, T. K., Wang, X., Chen, J., Ren, H., Yu, Z., & Zhang, C. (2023) · Frontiers in Medicine · doi:10.3389/fmed.2023.1174764 · Cited by 17
“Higher TMB produces more neo-antigens, which improves the likelihood that T cells will recognize them and clinically corresponds with higher ICI results (57).”
BackgroundMulti-omics pan-cancer analyses identify MCM4 as a promising prognostic and diagnostic biomarker
Li, Y., Gao, W., Yang, Z., Hu, Z., & Li, J. (2024) · Scientific Reports · doi:10.1038/s41598-024-57299-1 · Cited by 17
“In addition, we investigated 8 genetic characteristic indicators associated with tumors: HRD, MATH, MSI, NEO, ploidy, purity, TMB and LOH 58–66 .”
Emerging Targets and Therapeutics in Immuno-Oncology: Insights from Landscape Analysis
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The challenges and clinical landscape of glioblastoma immunotherapy
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“These neoan tigens could then be targeted by the immune system [ 25 ].”
BackgroundRBM10 Deficiency Is Associated With Increased Immune Activity in Lung Adenocarcinoma
Liu, B., Wang, Y., Wang, H., Li, Z., Yang, L., Yan, S., Yang, X., Ma, Y., Gao, X., Guan, Y., et al. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.677826 · Cited by 17
“For example, PD-L1 expression exhibits significant spatial and temporal heterogeneity and the utilization of TMB is limited due to the lack of a uniform standard to determine the cut-off value (35, 36).”
BackgroundZhao, X., Liu, B., William, W. N., Tsanov, K. M., Ho, Y.-J., Barriga, F. M., Lim, R. J., Trifas, M., Khandekar, A., Du, Y., et al. (2024) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2024.12.020 · Cited by 19
Novel clinical trial designs emerging from the molecular reclassification of cancer
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“100 104 Although traditional immune checkpoint inhibitor–based therapies have been directed at the PD ‐ 1/PD ‐ L1 axis, there are several other immune checkpoints as well as an enormous array of other immunomodulatory mediators that may contribute to resistance to these therapies.”
Self-citationLai, G., Li, K., Deng, J., Liu, H., Xie, B., & Zhong, X. (2022) · Journal of Healthcare Engineering · doi:10.1155/2022/8704127 · Cited by 16
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“However, the prediction value could be affected by various factors, such as different cut-off points, calculating algorithms and detecting assays, etc.(43,44) Hence, limitations remained in practice due to inconsistency and heterogeneity.”
MethodLi, N., Wan, Z., Lu, D., Chen, R., & Ye, X. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1088683 · Cited by 15
“indicates better immunotherapy efficacy, use of the TMB alone as a predictive biomarker has certain limitations (4).”
BackgroundCuello, M. A., Gómez‐Valenzuela, F., Wichmann, I. A., Suárez, F., Kato, S., Orlandini, E., Brañes, J. A., & Ibáñez, C. (2023) · Cancers · doi:10.3390/cancers15041156 · Cited by 16
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“One potential mechanism is that immune pressure promotes the genomic instability of some subsets to exceed the tolerance limit; an alternative is that high genomic instability induces the development of a large number of new antigens [30].”
BackgroundPathologic assessment of hepatocellular carcinoma in the era of immunotherapy: a narrative review
Wang, H., Qian, Y., Dong, H., & Cong, W. (2023) · HepatoBiliary Surgery and Nutrition · doi:10.21037/hbsn-22-527 · Cited by 19
“These proteins are defined as neoantigen which is nonexistent in normal cells, and can induce an adaptive anti-tumor immune response that is ulteriorly boosted by ICIs (154).”
Jiang, C., Chao, C., Li, J., Ge, X., Shen, A., Jucaud, V., Cheng, C., & Shen, X. (2024) · iScience · doi:10.1016/j.isci.2024.109277 · Cited by 18
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“34 However, despite the long availability of immunotherapy for cancer in clinics, there is a need to enhance its therapeutic effect.”
BackgroundPhenotyping Tumor Heterogeneity through Proteogenomics: Study Models and Challenges
Piana, D., Iavarone, F., Paolis, E. D., Daniele, G., Parisella, F., Minucci, A., Greco, V., & Urbani, A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25168830 · Cited by 17
“…and drug resistance is regulated not only by the accumulation of somatic genetic mutations (also defined tumoral mutational burden— TMB) [4,5] but also by a portrait of epigenetic and phenotypic changes due to the intra-and peritumorous tumor microenvironment (TME) and…”
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PD-1 transcriptomic landscape across cancers and implications for immune checkpoint blockade outcome
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“Unfortunately,biomarkersinadditiontoDNAmismatchrepairde fi ciency(dMMR) and high tumor mutation burden (TMB) that accurately predict ICI response are not yet well de fi ned 6,7 .”
Self-citationThe human microbiome: redefining cancer pathogenesis and therapy
Adlakha, Y. K., & Chhabra, R. (2025) · Cancer Cell International · doi:10.1186/s12935-025-03787-x · Cited by 20
“The therapeutic regimens for cancer are already quite complex and drug resistance, drug toxicity and recurrence further adds to the roadblocks in cancer therapy [200].”
Hushmandi, K., Fooladi, A. A. I., Reiter, R. J., Farahani, N., Liang, L., Aref, A. R., Nabavi, N., Alimohammadi, M., Liu, L., & Sethi, G. (2025) · Experimental Hematology and Oncology · doi:10.1186/s40164-025-00662-3 · Cited by 16
“The key factor may not be the number of neo-antigens but their ability to trigger an immune response (immunogenicity) [92, 94].”
Towards biomarker-driven therapies for urothelial carcinoma
Membribes, S. C., Szabados, B. E., & Powles, T. B. (2025) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-025-01095-x · Cited by 16
“However, this relationship has not yet been conclusively demonstrated in prospective studies 90 .”
Uncovering the role of LINE-1 in the evolution of lung adenocarcinoma
Zhang, T., Wei, Z., Wirth, C., Díaz‐Gay, M., Yin, J., Cecati, M., Marchegiani, F., Hoang, P. H., Leduc, C., Baine, M. K., et al. (2025) · Nature · doi:10.1038/s41586-025-09825-y · Cited by 24
“competition among subclones 53 continues during tumour progression, maintained by the lack of strong mutagenic effects facilitating specific subclones’ positive selection and by poor immunoediting effects due to the low mutational burden 54 .”
Modulation of Lymphocyte Functions in the Microenvironment by Tumor Oncogenic Pathways
Seliger, B., & Massa, C. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.883639 · Cited by 15
Cohen, P. R., & Kurzrock, R. (2022) · Dermatology and Therapy · doi:10.1007/s13555-022-00801-2 · Cited by 15
Self-citationChen, Z., John, J., & Wang, J. H. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.995434 · Cited by 19
Song, X., Zhao, L., Zhang, N., Liu, L., Ren, X. Z., Ma, H., Kuang, X., Li, Y., Luo, C., & Wei, Q. L. (2023) · Analytical Chemistry · doi:10.1021/acs.analchem.2c04673 · Cited by 15
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“It is to be noted that high TMB levels contribute to tumors expressing recognized neo-antigens and augmenting immune responses [26].”
BackgroundJiang, Y., Ye, Y., Huang, Y., Wu, Y., Wang, G., Gui, Z., Zhang, M., & Zhang, M. (2023) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-023-05285-x · Cited by 15
“It is a prognostic marker for many tumor(Fusco et al. 2021; Jardim et al. 2021; Song et al. 2022).”
BackgroundSPP1 is associated with adverse prognosis and predicts immunotherapy efficacy in penile cancer
Zou, Y., Tan, X., Yuan, G., Tang, Y., Wang, Y., Yang, C., Luo, S., Wu, Z., & Yao, K. (2023) · Human Genomics · doi:10.1186/s40246-023-00558-5 · Cited by 15
“Studies have attempted to identify distinct subpopulations and to explore mechanisms underlying disease carcinogenesis and strategies to select patients suitable for immunotherapy [32, 33].”
BackgroundRelevance of mutation-derived neoantigens and non-classical antigens for anticancer therapies
Aparicio, B., Theunissen, P., Hervás‐Stubbs, S., Fortes, P., & Sarobe, P. (2024) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2024.2303799 · Cited by 16
“58,59 Cancer types where TMB does not predict response generally show no relationship between neoAg load and T-cell infiltration.”
BackgroundJiang, C., Feng, Q., Mao, Y., Zhang, Z., Xu, Y., Chen, Y., Zheng, P., Lin, S., Shen, F., Zhang, Z., et al. (2024) · International Immunopharmacology · doi:10.1016/j.intimp.2024.111771 · Cited by 14
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“These patients were found to have increased PD-L1 expression and high TMB burden (49).”
BackgroundMethodInfluentialKim, K., Alam, S. M., Kuo, F., Chen, Z., Yip, W., Katims, A., Chu, C. E., Lenis, A. T., Hu, W., Ozcan, G. G., et al. (2024) · European Urology · doi:10.1016/j.eururo.2024.10.024 · Cited by 14
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“Many studies have proven this theory (Buttner et al. 2019 ; Jardim et al. 2021; Sny-der et al. 2017).”
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“The somatic TMB may lead to the formation of new antigens, and the presence of additional antigens enhances the probability that tumor cells will be detected by immune cells that in fi ltrate the tumor (86), thereby activating T-cell-mediated anti-tumor responses (87).”
Mayerhoefer, M. E., Kienzle, A., Woo, S., & Vargas, H. A. (2025) · Radiology · doi:10.1148/radiol.241030 · Cited by 18
CAR-T therapy-based innovations in the enhancement of contemporary anti-tumor therapies
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Redox Metabolism‐Associated Molecular Classification of Clear Cell Renal Cell Carcinoma
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“Higher TMB followed by more neoantigen could increase T cell recognition and correlated with better response to immune checkpoint inhibitors [49].”
BackgroundLiu, G., Qiu, Y., Zhang, P., Chen, Z., Chen, S., Huang, W., Wang, B., Yu, X., & Guo, D. (2022) · Pharmaceutics · doi:10.3390/pharmaceutics14091762 · Cited by 14
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“The increase in TMB has been reported to be associated with a higher neoantigen load, which was associated with a stronger immune response and greater level of immunogenicity (14).”
BackgroundThe Role of Immunotherapy in Esophageal and Gastric Cancer
Dedecker, H., Teuwen, L.-A. M. N., Vandamme, T., Domen, A., & Prenen, H. (2023) · Clinical Colorectal Cancer · doi:10.1016/j.clcc.2023.03.001 · Cited by 14
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“Several challenges exist when using TMB as an ICI biomarker, including uncertainties related to mutations located at less studied variants, confounding factors such as environmental exposure, and squamous histology that can cause higher TMB.(7) Furthermore, TMB ≥ 10 is often criticized as an arbitrary cutoff that lack…”
BackgroundInfluentialHMGCS2 serves as a potential biomarker for inhibition of renal clear cell carcinoma growth
Mao, H., Wang, R., Shao, F., Zhao, M., Tian, D., Hua, X., & Zhao, Y. (2023) · Scientific Reports · doi:10.1038/s41598-023-41343-7 · Cited by 14
“Tumor mutational burden (TMB), microsatellite instability (MSI), ploidy, homologous recombination deficiency (HRD), and loss of heterozygosity (LOH) are factors contributing to tumor development and therapy resistance 39–43 .”
Wang, G., Chen, B., Su, Y., Qu, N., Zhou, D., & Zhou, W. (2023) · Cells · doi:10.3390/cells12202457 · Cited by 14
“As an emerging independent predictor of the efficacy of immune checkpoint inhibitor (ICI) therapy, TMB and MSI correlate with the efficacy of multiple tumor types of ICIs alone or in combination with two ICIs and have been shown to be predictive markers of the efficacy of pan-cancer immunotherapy [25].”
BackgroundZhang, W., Yang, J.-G., Wang, B.-K., Lu, Y.-T., Yang, J.-B., Zhong, W.-Q., Yu, Z.-Y., Qin, Z., Xiao, B., Wang, K.-M., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113352 · Cited by 15
“44,45 Indeed, cancer types that have higher TMB (e.g., melanoma and lung cancer) are, in general, more responsive to anti-PD-1 treatment.”
BackgroundPrognostic value and immunological role of cathepsin S gene in pan‑cancer
Liang, S., Dang, B., Chen, S., & Mi, H. (2023) · Oncology Letters · doi:10.3892/ol.2023.14175 · Cited by 14
“For example, consensus on TMB cutoff values for patient stratification remains elusive and PD‑L1 expression is only applicable to certain tumor types (28,29).”
BackgroundChou, W., Chen, W., Kuo, C., Chang, Y., Lu, Y., Li, C.-W., Hung, M., & Shen, C. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113641 · Cited by 14
Identification and characterization of CLEC11A and its derived immune signature in gastric cancer
Zheng, Q. Y., Gong, Z., Li, B., Cheng, R., Luo, W., Huang, C., & Wang, H. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1324959 · Cited by 14
“Additionally, there existed a negative correlation between CLEC11A and TMB/MSI, both serving as markers that are associated with cancer neoantigens and predicting immune response (81, 82).”
Huang, Y., Du, Z., Kan, A., He, M., Li, H., Lai, Z., Wen, D., Huang, L., Li, Q., Xu, L., et al. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1260191 · Cited by 15
Metadata
- Authors
- Jardim, D. L., Goodman, A., de Melo Gagliato, D., & Kurzrock, R.
- Affiliations
- Hospital Sírio-Libanês (BR)
- University of California San Diego (US)
- Corresponding author
- Kurzrock, Razelle
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 39
- Issue
- 2
- Pages
- 154-173
- ISSN
- 1535-6108 (ISSN-L)
- PMC
- PMC7878292
- OpenAlex
- W3097803258
- Cited by
- 1,192
- References
- 151
- Citations by year
- 2026: 134 · 2025: 263 · 2024: 294 · 2023: 276 · 2022: 171 · 2021: 53
- FWCI
- 13.60
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 372 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Cancer Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Astellas Pharma US
- National Cancer Institute (P30 CA023100)
- Janssen Pharmaceuticals
- AstraZeneca
- Bristol-Myers Squibb
- Genentech
- Roche
- EMD Serono
- Pfizer
- Meso Scale Diagnostics
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Keywords
- tumor mutational burden, immunotherapy biomarkers, immune checkpoint inhibitors, neoantigens, MHC class I antigen presentation, T cell receptor repertoire, cancer immunotherapy response prediction
- MeSH terms
- Immune Checkpoint Inhibitors, Humans, Immunotherapy, Major Histocompatibility Complex, Mutation, Neoplasms, T-Lymphocytes, Biomarkers, Tumor
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