The DOI matches its Crossref record; 129 of the 129 references it cites were found in a registry or an index.
Biomarkers for Response to Immune Checkpoint Blockade
Open accessAbstract
Immune checkpoint blockade (ICB) has significant clinical activity in diverse cancer classes and can induce durable remissions in even refractory advanced disease. However, only a minority of cancer patients treated with ICB have long-term benefits, and ICB treatment is associated with significant, potentially life-threatening, autoimmune side effects. There is a great need to develop biomarkers of response to guide patient selection to maximize the chance of benefit and prevent unnecessary toxicity, and current biomarkers do not have optimal positive or negative predictive value. A variety of potential biomarkers are currently being developed, including those based on assessment of checkpoint protein expression, evaluation of tumor-intrinsic features including mutation burden and viral infection, evaluation of features of the tumor immune microenvironment including nature of immune cell infiltration, and features of the host such as composition of the gut microbiome. Better understanding of the underlying fundamental mechanisms of immune response and resistance to ICB, along with the use of complementary assays that interrogate distinct features of the tumor, the tumor microenvironment, and host immune system, will allow more precise use of these therapies to optimize patient outcomes.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Although a range of assays have been approved, there remains significant variation in antibodies, tissue handling techniques, and thresholds, which limits the uniform benefit of PD-L1 expression as an isolated biomarker, and efforts are under way to integrate PD-L1 expression with other biomarkers (described below; ref. 127).”
From The Next Decade of Immune Checkpoint Therapy (2021) · cites this paper as [127]
In the citing paper
“Furthermore, as our understanding of host effects on the immune system has grown, it is clear that the gut microbiome exerts influence over the effectiveness of ICTs (127).”
From The Next Decade of Immune Checkpoint Therapy (2021) · cites this paper as [127]
Citations
Cites
Improved Survival with Ipilimumab in Patients with Metastatic Melanoma
Hodi, F. S., O'Day, S. J., McDermott, D. F., Weber, R. W., Sosman, J. A., Haanen, J. B., Gonzalez, R., Robert, C., Schadendorf, D., Hassel, J. C., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1003466 · Cited by 15,155
Safety, activity, and immune correlates of anti–PD-1 antibody in cancer
Topalian, S. L., Hodi, F. S., Brahmer, J. R., Gettinger, S. N., Smith, D. C., McDermott, D. F., Powderly, J. D., Carvajal, R. D., Sosman, J. A., Atkins, M. B., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1200690 · Cited by 12,628
Pembrolizumab versus Chemotherapy for PD-L1-Positive Non-Small-Cell Lung Cancer
Reck, M., Rodríguez-Abreu, D., Robinson, A. G., Hui, R., Csőszi, T., Fülöp, A., Gottfried, M., Peled, N., Tafreshi, A., Cuffe, S., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1606774 · Cited by 10,089
Signatures of mutational processes in human cancer
Initiative, A. P. C. G., Alexandrov, L. B., ICGC Breast Cancer Consortium, ICGC MMML-Seq Consortium, PedBrain, I., Nik-Zainal, S., Wedge, D. C., Aparicio, S. A. J. R., Behjati, S., Biankin, A. V., et al. (2013) · Nature · doi:10.1038/nature12477 · Cited by 9,660
PD-1 Blockade in Tumors with Mismatch-Repair Deficiency
Le, D. T., Uram, J. N., Wang, H., Bartlett, B. R., Kemberling, H., Eyring, A. D., Skora, A. D., Luber, B. S., Azad, N. S., Laheru, D., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1500596 · Cited by 9,377
Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
Rizvi, N. A., Hellmann, M. D., Snyder, A., Kvistborg, P., Makarov, V., Havel, J. J., Lee, W., Yuan, J., Wong, P., Ho, T. S., et al. (2015) · Science · doi:10.1126/science.aaa1348 · Cited by 7,802
Oncology meets immunology: the cancer-immunity cycle.
Chen, D. S., & Mellman, I. (2013) · Immunity · doi:10.1016/j.immuni.2013.07.012 · Cited by 6,929
Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade
Le, D. T., Durham, J. N., Smith, K. N., Wang, H., Bartlett, B. R., Aulakh, L. K., Lu, S., Kemberling, H., Wilt, C., Luber, B. S., et al. (2017) · Science · doi:10.1126/science.aan6733 · Cited by 6,645
PD-1 blockade induces responses by inhibiting adaptive immune resistance
Tumeh, P. C., Harview, C. L., Yearley, J. H., Shintaku, I. P., Taylor, E. J. M., Robert, L., Chmielowski, B., Spasic, M., Henry, G., Ciobanu, V., et al. (2014) · Nature · doi:10.1038/nature13954 · Cited by 6,609
Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors
Routy, B., Le Chatelier, E., Derosa, L., Duong, C. P. M., Alou, M. T., Daillère, R., Fluckiger, A., Messaoudene, M., Rauber, C., Roberti, M. P., et al. (2018) · Science · doi:10.1126/science.aan3706 · Cited by 5,671
Research works printed but not linked: 7
- Behr DS, 2014, Int. J. Clin. Exp. Pathol., 7, 7610
- Erber R, 2017, Anticancer Res, 37, 6771
- Loi S, 2019, Cancer Res, 79, P3
- Middha S, 2019, JCO Precis. Oncol., 3
- Middha S, 2017, JCO Precis. Oncol., 1
- Panda A, 2017, JCO Precis. Oncol., 1
- Surace M, 2019, J. Vis. Exp., 143, e58390
Cited by
Sorted by citations
The Next Decade of Immune Checkpoint Therapy
Sharma, P., Siddiqui, B. A., Anandhan, S., Yadav, S. S., Subudhi, S. K., Gao, J., Goswami, S., & Allison, J. P. (2021) · Cancer Discovery · doi:10.1158/2159-8290.cd-20-1680 · Cited by 750
Immunotherapy for Ovarian Cancer: Adjuvant, Combination, and Neoadjuvant
Yang, C. Q., Xia, B.-R., Zhang, Z.-C., Zhang, Y., Lou, G., & Jin, W. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.577869 · Cited by 358
Emerging strategies for treating metastasis
Esposito, M., Ganesan, S., & Kang, Y. (2021) · Nature Cancer · doi:10.1038/s43018-021-00181-0 · Cited by 175
Self-citationAutophagy Regulates Stress Responses, Metabolism, and Anticancer Immunity
White, E., Lattime, E. C., & Guo, J. Y. (2021) · Trends in cancer · doi:10.1016/j.trecan.2021.05.003 · Cited by 145
MacDonald, W., Purcell, C., Pinho-Schwermann, M. P., Stubbs, N. M., Srinivasan, P. R., & El‐Deiry, W. S. (2025) · Cancers · doi:10.3390/cancers17030441 · Cited by 119
Immune escape and resistance to immunotherapy in mismatch repair deficient tumors
Mestrallet, G., Brown, M., Bozkus, C. C., & Bhardwaj, N. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1210164 · Cited by 91
He, S., Liu, J., Zhang, C., Wang, J., & Pu, K. (2021) · Angewandte Chemie International Edition · doi:10.1002/anie.202116669 · Cited by 85
Almawash, S. (2025) · Cancers · doi:10.3390/cancers17050880 · Cited by 69
Deep learning reveals predictive sequence concepts within immune repertoires to immunotherapy
Sidhom, J.-W., Oliveira, G., Ross-MacDonald, P., Wind-Rotolo, M., Wu, C. J., Pardoll, D. M., & Baras, A. S. (2022) · Science Advances · doi:10.1126/sciadv.abq5089 · Cited by 57
Shukla, A., Cloutier, M., Santharam, M. A., Ramanathan, S., & Ilangumaran, S. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22041964 · Cited by 55
Muquith, M., Espinoza, M., Elliott, A., Xiu, J., Seeber, A., El‐Deiry, W. S., Antonarakis, E. S., Graff, S. L., Hall, M. J., Borghaei, H., et al. (2024) · Nature Cancer · doi:10.1038/s43018-024-00752-x · Cited by 36
MIF and CD74 as Emerging Biomarkers for Immune Checkpoint Blockade Therapy
Fey, R. M., Nichols, R. A., Tran, T. T. T., Vandenbark, A. A., & Kulkarni, R. P. (2024) · Cancers · doi:10.3390/cancers16091773 · Cited by 34
Immune Checkpoint Inhibitors in Triple Negative Breast Cancer: The Search for the Optimal Biomarker
Qureshi, S., Chan, N., George, M. A., Ganesan, S., Toppmeyer, D., & Omene, C. O. (2022) · Biomarker Insights · doi:10.1177/11772719221078774 · Cited by 36
Self-citationBird, B., Nally, K., Ronan, K. E., Clarke, G. A., Amu, S., Almeida, A. S., Flavin, R., & Finn, S. P. (2022) · Diagnostics · doi:10.3390/diagnostics12010124 · Cited by 29
Current treatment landscape and emerging therapies for metastatic triple-negative breast cancer
Nelly G. Adel, P. (2021) · The American Journal of Managed Care · doi:10.37765/ajmc.2021.88626 · Cited by 35
Development of Potent Immune Modulators Targeting Stimulator of Interferon Genes Receptor
Jeon, M. J., Lee, H., Lee, J., Baek, S. Y., Lee, D.-H., Jo, S., Lee, J., Kang, M., Jung, H. R., Han, S. B., et al. (2022) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.1c01795 · Cited by 30
The Role of Human Papilloma Virus in Dictating Outcomes in Head and Neck Squamous Cell Carcinoma
Brennan, S., Baird, A., O’Regan, E. M., & Sheils, O. M. (2021) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2021.677900 · Cited by 26
Immunotherapeutic approaches in Hepatocellular carcinoma: Building blocks of hope in near future
Minaei, N., Ramezankhani, R., Tamimi, A., Piryaei, A., Zarrabi, A., Aref, A. R., Mostafavi, E., & Vosough, M. (2022) · European Journal of Cell Biology · doi:10.1016/j.ejcb.2022.151284 · Cited by 19
Immune checkpoint blockade for cancer therapy: current progress and perspectives
Ye, H., Liao, W., Pan, J., Shi, Y. P., & Wang, Q. (2025) · Journal of Zhejiang University SCIENCE B · doi:10.1631/jzus.b2300492 · Cited by 23
Restricting datasets to classifiable samples augments discovery of immune disease biomarkers
Glehr, G., Riquelme, P., Kronenberg, K., Lohmayer, R., López‐Madrona, V. J., Kapinsky, M., Schlitt, H. J., Geissler, E. K., Spang, R., Haferkamp, S., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-49094-3 · Cited by 14
Pinhasi, A., & Yizhak, K. (2025) · npj Precision Oncology · doi:10.1038/s41698-025-00883-z · Cited by 15
D’Angelo, S. P., Lebbé, C., Nghiem, P., Brohl, A. S., Mrowiec, T., Leslie, T., Georges, S., Güzel, G., & Shah, P. K. (2024) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-23-0395 · Cited by 11
Mišetić, H., Keddar, M. R., Jeannon, J., & Ciccarelli, F. D. (2023) · Genome Medicine · doi:10.1186/s13073-023-01197-0 · Cited by 10
He, S., Liu, J., Zhang, C., Wang, J., & Pu, K. (2021) · Angewandte Chemie · doi:10.1002/ange.202116669 · Cited by 9
Harper, T. A., Bacot, S. M., Fennell, C. J., Matthews, R. L., Zhu, C., Yue, P., Benton, A., Friedman, D., Akue, A. D., KuKuruga, M. A., et al. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222111848 · Cited by 9
Sawant, A., Shi, F., Lopes, E. C., Hu, Z. S., Abdelfattah, S., Baul, J., Powers, J. R., Hinrichs, C. S., Rabinowitz, J. D., Chan, C. S., et al. (2024) · Cancer Research · doi:10.1158/0008-5472.can-24-2589 · Cited by 7
Self-citationShah, J. V., Siebert, J. N., Zhao, X., He, S., Riman, R. E., Tan, M. C., Pierce, M. C., Lattime, E. C., Ganapathy, V., & Moghe, P. V. (2023) · Advanced NanoBiomed Research · doi:10.1002/anbr.202300092 · Cited by 5
Head-to-Head Comparison of CCN4, DNMT3A, PTPN11, and SPARC as Suppressors of Anti-tumor Immunity
Pirkey, A., Deng, W., Norman, D., Razazan, A. P., & Klinke, D. J. (2023) · Cellular and Molecular Bioengineering · doi:10.1007/s12195-023-00787-7 · Cited by 4
Rebecca Tombleson, P. (2021) · The American Journal of Managed Care · doi:10.37765/ajmc.2021.88627 · Cited by 4
Lautert-Dutra, W., Melo, C. M., Chaves, L. P., Souza, F. C. M., Crozier, C., Sundby, A. E., Woroszchuk, E., Saggioro, F. P., Avante, F. S., dos Reis, R. B., et al. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1280943 · Cited by 4
Safaeifard, F., Goliaei, B., Aref, A. R., Foroughmand-Araabi, M.-H., Goliaei, S., Lorch, J. H., Jenkins, R. W., Barbie, D. A., Shariatpanahi, S. P., & Rüegg, C. (2022) · Cells · doi:10.3390/cells11223534 · Cited by 3
Immunotherapy for Cutaneous Melanoma
Soleymanitabar, A., Keshavarz‐Fathi, M., Hargadon, K. M., & Rezaei, N. (2023) · Springer eBooks · doi:10.1007/978-3-030-80962-1_237-1 · Cited by 2
Heterogeneity-optimized method for predicting immune checkpoint blockade response
Liang, J., Guo, Q., Xiang, S., Wang, Y., & Li, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-17718-3 · Cited by 2
Breaking Barriers: Nucleic Acid Aptamers in Gastrointestinal (GI) Cancers Therapy
Uinarni, H., Oghenemaro, E. F., Menon, S. V., Hjazi, A. M., Ibrahim, F. M., Kaur, M., Zafarjonovna, A. Z., Deorari, M., Jabir, M. S., & Zwamel, A. H. (2024) · Cell Biochemistry and Biophysics · doi:10.1007/s12013-024-01367-w · Cited by 2
Immune checkpoints and ncRNAs: pioneering immunotherapy approaches for hematological malignancies
Anvari, S., Nikbakht, M., Vaezi, M., Amini‐Kafiabad, S., & Ahmadvand, M. (2024) · Cancer Cell International · doi:10.1186/s12935-024-03596-8 · Cited by 2
Quest for Ideal Composite Biomarkers for Response to Immunotherapies
Swami, U., Nussenzveig, R. H., & Agarwal, N. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-20-2321 · Cited by 2
Sawant, A., Shi, F., Lopes, E. C., Hu, Z. S., Abdelfattah, S., Baul, J., Powers, J. R., Hinrichs, C. S., Rabinowitz, J. D., Chan, C. S., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.10.597960 · Cited by 2
Self-citationМеханизмы резистентности к иммунотерапии при MSI фенотипе
Федянин, М. Ю. (2025) · Malignant tumours · doi:10.18027/2224-5057-2025-15-3s1-11-30 · Cited by 1
De novo priming: driver of immunotherapy responses or epiphenomenon?
Young, A. L., Lorimer, T., Al-Khalidi, S., & Roberts, E. W. (2023) · Essays in Biochemistry · doi:10.1042/ebc20220244 · Cited by 1
Pinhasi, A., & Yizhak, K. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.16.623986 · Cited by 1
Casals-Franch, R., Villà-Freixa, J., Nonell, L., & de Lomana, A. L. G. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.15.682506 · Cited by 1
Li, X., Li, G., Tang, X., Zhou, Y., Zheng, K., Luo, Z.-L., Zhang, X., Xiong, Y., & Feng, Y. (2021) · Research Square · doi:10.21203/rs.3.rs-870917/v1
Ezenwajiaku, V. (2020) · Nigerian Journal of Cardiovascular & Thoracic Surgery · doi:10.4103/njct.njct_9_21
Verification and validation of the anti-PD-L1 antibody, Clone 22C 3 on a laboratory-developed test
Brennan, S., O’Neill, J., & Kennedy, S. (2022) · Journal of Clinical Pathology · doi:10.1136/jclinpath-2022-208353
Mišetić, H., Keddar, M. R., Jeannon, J., & Ciccarelli, F. D. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.24.525325
Pouliasi, F., Salamaliki, C., Kanaloupitis, S., Verigou, E., Liolis, E., Koutras, A. K., Makatsoris, T., Kalofonos, C. P., Liossis, S. C., & Solomou, E. E. (2024) · Applied Sciences · doi:10.3390/app14124990
Surrogate selection oversamples expanded T cell clonotypes
Yu, P., Lian, Y., Xie, E., Zuleger, C., Albertini, R. J., Albertini, M. R., & Newton, M. A. (2025) · The Annals of Applied Statistics · doi:10.1214/25-aoas2032
Immunotherapy for Cutaneous Melanoma
Soleymanitabar, A., Keshavarz‐Fathi, M., Hargadon, K. M., & Rezaei, N. (2025) · Springer eBooks · doi:10.1007/978-3-032-00769-8_237
Casals-Franch, R., Nonell, L., Villà-Freixa, J., & de Lomana, A. L. G. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.12.724558
Chen, C., Liu, S., Feng, J., Luo, Z., Bi, Y., Huang, Q. C., Zhang, Y., Yu, H., Wu, J., Yu, H., et al. (2026) · iScience · doi:10.1016/j.isci.2026.116141
Budiyanto, F., Murniasih, T., Bustanussalam, Zubair, M. S., Sasikirana, W., & Syafiie, S. (2026) · Algal Research · doi:10.1016/j.algal.2026.104997
BindingDB (2023) · UC San Diego · doi:10.7270/q2h1363k
Metadata
- Authors
- Ganesan, S., & Mehnert, J.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Venue
- Annual Review of Cancer Biology
- Publisher
- Annual Reviews
- Published
- 2020-03-09
- Volume
- 4
- Issue
- 1
- Pages
- 331-351
- ISSN
- 2472-3428 (ISSN-L)
- OpenAlex
- W2994573450
- Cited by
- 51
- References
- 129
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 10 · 2023: 8 · 2022: 7 · 2021: 11 · 2020: 3
- FWCI
- 0.50
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Annual Review of Cancer Biology (publishedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Keywords
- immune checkpoint blockade, predictive biomarkers, treatment response, immune-related adverse events, patient selection, tumor immune microenvironment, immune cell infiltration, gut microbiota, tumor mutational burden, viral infection, immune resistance mechanisms
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review