The DOI matches its Crossref record; 305 of the 305 references it cites were found in a registry or an index.
Overcoming Resistance to Tumor-Targeted and Immune-Targeted Therapies
Open accessPublished version of a preprint
Abstract
Resistance to anticancer therapies includes primary resistance, usually related to lack of target dependency or presence of additional targets, and secondary resistance, mostly driven by adaptation of the cancer cell to the selection pressure of treatment. Resistance to targeted therapy is frequently acquired, driven by on-target, bypass alterations, or cellular plasticity. Resistance to immunotherapy is often primary, orchestrated by sophisticated tumor–host–microenvironment interactions, but could also occur after initial efficacy, mostly when only partial responses are obtained. Here, we provide an overview of resistance to tumor and immune-targeted therapies and discuss challenges of overcoming resistance, and current and future directions of development. Significance: A better and earlier identification of cancer-resistance mechanisms could avoid the use of ineffective drugs in patients not responding to therapy and provide the rationale for the administration of personalized drug associations. A clear description of the molecular interplayers is a prerequisite to the development of novel and dedicated anticancer drugs. Finally, the implementation of such cancer molecular and immunologic explorations in prospective clinical trials could de-risk the demonstration of more effective anticancer strategies in randomized registration trials, and bring us closer to the promise of cure.
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“However, tumor heterogeneity, pathway redundancies and inherent tumor cell plasticity, when combined with the complexity of the TME, renders acquired resistance an almost inevitable outcome of current therapies [113].”
From The HIF Axes in Cancer - Angiogenesis, Metabolism and Immune-Modulation (2025) · cites this paper as [113]
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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
Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing
Gerlinger, M., Rowan, A. J., Horswell, S., Larkin, J., Endesfelder, D., Gronroos, E., Martinez, P., Matthews, N., Stewart, A., Tarpey, P., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1113205 · Cited by 7,774
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
Pembrolizumab plus chemotherapy in metastatic non–small-cell lung cancer
Gandhi, L., Rodríguez-Abreu, D., Gadgeel, S., Esteban, E., Felip, E., De Angelis, F., Domine, M., Clingan, P., Hochmair, M. J., Powell, S. F., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1801005 · Cited by 6,607
Primary, Adaptive, and Acquired Resistance to Cancer Immunotherapy
Sharma, P., Hu-Lieskovan, S., Wargo, J. A., & Ribas, A. (2017) · Cell · doi:10.1016/j.cell.2017.01.017 · Cited by 5,588
Osimertinib in Untreated EGFR -Mutated Advanced Non–Small-Cell Lung Cancer
Soria, J.-C., Ohe, Y., Vansteenkiste, J., Reungwetwattana, T., Chewaskulyong, B., Lee, K. H., Dechaphunkul, A., Imamura, F., Nogami, N., Kurata, T., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1713137 · Cited by 5,508
Self-citationGut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients
Gopalakrishnan, V., Spencer, C. N., Nezi, L., Reuben, A., Andrews, M. C., Karpinets, T. V., Prieto, P. A., Vicente, D., Hoffman, K., Wei, S. C., et al. (2018) · Science · doi:10.1126/science.aan4236 · Cited by 4,812
K-ras Mutations and Benefit from Cetuximab in Advanced Colorectal Cancer
Karapetis, C. S., Khambata-Ford, S., Jonker, D. J., O'Callaghan, C. J., Tu, D., Tebbutt, N. C., Simes, R. J., Chalchal, H., Shapiro, J. D., Robitaille, S., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0804385 · Cited by 3,622
Genotypic and Histological Evolution of Lung Cancers Acquiring Resistance to EGFR Inhibitors
Sequist, L. V., Waltman, B. A., Dias-Santagata, D., Digumarthy, S., Turke, A. B., Fidias, P., Bergethon, K., Shaw, A. T., Gettinger, S., Cosper, A. K., et al. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3002003 · Cited by 3,499
Genomic and Transcriptomic Features of Response to Anti-PD-1 Therapy in Metastatic Melanoma
Hugo, W., Zaretsky, J. M., Sun, L., Song, C., Moreno, B. H., Hu-Lieskovan, S., Berent-Maoz, B., Pang, J., Chmielowski, B., Cherry, G., et al. (2016) · Cell · doi:10.1016/j.cell.2016.02.065 · Cited by 3,448
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Zhang, S., Yuan, L., Danilova, L., Mo, G., Zhu, Q., Deshpande, A., Bell, A. T. F., Elisseeff, J., Popel, A. S., Anders, R. A., et al. (2023) · Genome Medicine · doi:10.1186/s13073-023-01218-y · Cited by 140
The HIF Axes in Cancer - Angiogenesis, Metabolism and Immune-Modulation
Acuña-Pilarte, K., & Koh, M. Y. (2025) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2025.06.005 · Cited by 64
Metadata
- Authors
- Aldea, M., Andre, F., Marabelle, A., Dogan, S., Barlesi, F., & Soria, J.-C.
- Affiliations
- Institut Gustave Roussy (FR)
- 1Department of Medical Oncology, Gustave Roussy, Villejuif, France.
- 2INSERM U981, PRISM Institute, Gustave Roussy, Villejuif, France.
- Université Paris-Saclay (FR)
- Corresponding author
- Soria, Jean-Charles
- Venue
- Cancer Discovery
- Published
- 2021-04-01
- Volume
- 11
- Issue
- 4
- Pages
- 874-899
- ISSN
- 2159-8274 (ISSN-L)
- 2159-8290
- OpenAlex
- W3142295235
- Cited by
- 311
- References
- 305
- Citations by year
- 2026: 47 · 2025: 93 · 2024: 67 · 2023: 46 · 2022: 40 · 2021: 17
- FWCI
- 5.21
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cancer Discovery (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Keywords
- drug resistance, targeted therapy, immunotherapy, primary resistance, secondary resistance, bypass signaling, cellular plasticity, tumor microenvironment, personalized drug combinations, anticancer drug development
- MeSH terms
- Humans, Immunotherapy, Neoplasms, Drug Resistance, Neoplasm, Precision Medicine
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