The DOI matches its Crossref record; 183 of the 188 references it cites were found in a registry or an index.
A view on drug resistance in cancer
Open accessAbstract
The problem of resistance to therapy in cancer is multifaceted. Here we take a reductionist approach to define and separate the key determinants of drug resistance, which include tumour burden and growth kinetics; tumour heterogeneity; physical barriers; the immune system and the microenvironment; undruggable cancer drivers; and the many consequences of applying therapeutic pressures. We propose four general solutions to drug resistance that are based on earlier detection of tumours permitting cancer interception; adaptive monitoring during therapy; the addition of novel drugs and improved pharmacological principles that result in deeper responses; and the identification of cancer cell dependencies by high-throughput synthetic lethality screens, integration of clinico-genomic data and computational modelling. These different approaches could eventually be synthesized for each tumour at any decision point and used to inform the choice of therapy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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
“Mechanistically, low dependency on K-Ras signaling could confer intrinsic resistance to K-RasG12C inhibitors.12,58,61”
From Overcoming Resistance to Drugs Targeting KRAS Mutation (2020) · cites this paper as [61]
In the citing paper
“In the clinic, intrinsic and acquired resistance may co-exist and intertwine in the same patient treated with K-RasG12C-targeted therapies.57,61”
From Overcoming Resistance to Drugs Targeting KRAS Mutation (2020) · cites this paper as [61]
In the citing paper
“Complete and durable responses to targeted cancer therapies are rare in patients with advanced-stage cancers.61”
From Overcoming Resistance to Drugs Targeting KRAS Mutation (2020) · cites this paper as [61]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,989
Hanahan, D., & Weinberg, R. A. (2000) · Cell · doi:10.1016/s0092-8674(00)81683-9 · Cited by 29,219
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
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
Cancer immunotherapy using checkpoint blockade
Ribas, A., & Wolchok, J. D. (2018) · Science · doi:10.1126/science.aar4060 · Cited by 6,791
Targeting the DNA repair defect in BRCA mutant cells as a therapeutic strategy
Farmer, H., McCabe, N., Lord, C. J., Tutt, A. N. J., Johnson, D. A., Richardson, T. B., Santarosa, M., Dillon, K. J., Hickson, I., Knights, C., et al. (2005) · Nature · doi:10.1038/nature03445 · Cited by 6,683
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
Nowell, P. C. (1976) · Science · doi:10.1126/science.959840 · Cited by 6,471
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
Research works printed but not linked: 1
- Goldie, J. H. & Coldman, A. J. A mathematic model for relating the drug sensitivity of tumors to their spontaneous mutation rate. Cancer Treat. Rep. 63, 1727–1733 (1979).
Cited by
Sorted by citations
Items 901–1,000 of 1,001
Exosomal MiRNAs in Osteosarcoma: Biogenesis and Biological Functions
Tang, J., He, J., Feng, C., & Tu, C. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.902049 · Cited by 17
Molero-Valenzuela, A., Fontova, P., Alonso-Carrillo, D., Carreira‐Barral, I., Torres, A. A., García‐Valverde, M., Benítez-García, C., Pérez‐Tomás, R., Quesada, R., & Soto‐Cerrato, V. (2022) · Cancers · doi:10.3390/cancers14143387 · Cited by 17
Zhao, P., Jiao, Y.-N., Ma, Z.-F., Yang, Y., Li, Y., Hu, S.-D., Li, S.-Y., & Du, X. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.947658 · Cited by 17
Saha, T., Detroja, R., Mukherjee, S., & Samson, A. O. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232012628 · Cited by 16
Wang, Y., Chen, P., Zhao, M., Cao, H., Zhao, Y., Ji, M., Hou, P., & Chen, M. (2022) · Cell Death and Disease · doi:10.1038/s41419-022-05354-y · Cited by 17
The multifaceted role of MUC1 in tumor therapy resistance
Jin, W., Zhang, M., Dong, C., Huang, L. H., & Luo, Q. (2022) · Clinical and Experimental Medicine · doi:10.1007/s10238-022-00978-y · Cited by 17
Yamashita, T., Higashi, M., Sugiyama, H., Morozumi, M., Momose, S., & Tamaru, J. (2022) · American Journal Of Pathology · doi:10.1016/j.ajpath.2022.12.005 · Cited by 17
Mukherjee, D., Lahiri, D., & Nag, M. (2022) · Cancer Insight · doi:10.58567/ci01020003 · Cited by 17
Jacob, Í. T. T., Filho, I. J. D. C., Alves, J. E. F., Souza, F. D. M., de Azevedo, R. D. S., Marques, D. S. C., Souza, T. R. C. D. L., dos Santos, K. L., Pitta, M. G. D. R., Rêgo, M. J. B. D. M., et al. (2023) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2023.123606 · Cited by 17
Hairunisa, I., Bakar, M. F. A., Da’i, M., Bakar, F. I. A., & Syamsul, E. S. (2023) · Cancers · doi:10.3390/cancers15102785 · Cited by 17
Shamsabadipour, A., Pourmadadi, M., Davodabadi, F., Rahdar, A., & Ferreira, L. F. R. (2023) · Journal of Drug Delivery Science and Technology · doi:10.1016/j.jddst.2023.104681 · Cited by 19
Bai, F., Huang, Z., Luo, J., Qiu, Y., Huang, S., Huang, C., Liu, T., Zhang, H., & Wang, D. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1164425 · Cited by 17
β-HB treatment reverses sorafenib resistance by shifting glycolysis–lactate metabolism in HCC
Suk, F., Wu, C.-Y., Fang, C.-C., Chen, T.-L., & Liao, Y. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.115293 · Cited by 19
Gao, Z., Zhang, Q., Chen, H., Chen, J., Kang, J., Yu, H. J., Song, Y., & Zhang, X. (2023) · Aging · doi:10.18632/aging.204941 · Cited by 17
Su, L., Wu, S., Huang, C., Zhuo, X., Chen, J., Jiang, X., Kong, X., Lv, C., Xu, Q., Han, P., et al. (2023) · npj Precision Oncology · doi:10.1038/s41698-023-00460-2 · Cited by 20
Huang, Y., Wang, S., Zhang, X., Yang, C. G., Wang, S., Cheng, H., Ke, A., Gao, C., & Guo, K. (2024) · Pharmacological Research · doi:10.1016/j.phrs.2024.107082 · Cited by 17
Clinicopathological characterisation of MTAP alterations in gastrointestinal cancers
Mauri, G., Patelli, G., Roazzi, L., Valtorta, E., Amatu, A., Marrapese, G., Bonazzina, E. F., Tosi, F., Bencardino, K. B., Ciarlo, G., et al. (2024) · Journal of Clinical Pathology · doi:10.1136/jcp-2023-209341 · Cited by 19
Liposomal Nano-Based Drug Delivery Systems for Breast Cancer Therapy: Recent Advances and Progresses
Yazdan, M., Naghib, S. M., & Moepubi, M. R. (2024) · Anti-Cancer Agents in Medicinal Chemistry · doi:10.2174/0118715206293653240322041047 · Cited by 18
Louault, K., Blavier, L., Lee, M., Kennedy, R. J., Fernández, G. E., Pawel, B., Asgharzadeh, S., & DeClerck, Y. A. (2024) · British Journal of Cancer · doi:10.1038/s41416-024-02686-8 · Cited by 18
Context-dependent T-BOX transcription factor family: from biology to targeted therapy
Li, S., Luo, X., Sun, M., Wang, Y., Zhang, Z., Jiang, J., Hu, D., Zhang, J., Wu, Z., Wang, Y., et al. (2024) · Cell Communication and Signaling · doi:10.1186/s12964-024-01719-2 · Cited by 18
Xu, S., Liu, Y., Yang, S., Fei, W., Qin, J., Lü, W., & Xu, J. (2024) · iScience · doi:10.1016/j.isci.2024.110506 · Cited by 17
Sahoo, S., Kumari, S., Pulipaka, S., Chandra, Y., & Kotamraju, S. (2024) · Molecular Carcinogenesis · doi:10.1002/mc.23809 · Cited by 19
Sadr, S., Hajjafari, A., Lotfalizadeh, N., Lotfalizadeh, M., Laein, S. S., Abbasi, A. M., Jafroodi, P. P., Moghadam, E. R. A., Rahdar, A., Fathi‐karkan, S., et al. (2024) · Journal of Drug Delivery Science and Technology · doi:10.1016/j.jddst.2024.106543 · Cited by 17
Cancer immunotherapy in progress—an overview of the past 130 years
Ikeda, H. (2025) · International Immunology · doi:10.1093/intimm/dxaf002 · Cited by 20
Exploring near-infrared absorbing nanocarriers to overcome cancer drug resistance
Chu, S., & Stochaj, U. (2020) · Cancer Drug Resistance · doi:10.20517/cdr.2020.20 · Cited by 16
Targeting Epigenetic ‘Readers’ with Natural Compounds for Cancer Interception
Damiani, E., Duran, M., Mohan, N., Rajendran, P., & Dashwood, R. H. (2020) · Journal of Cancer Prevention · doi:10.15430/jcp.2020.25.4.189 · Cited by 17
Yang, Y., Zhang, T., & Wu, L. (2021) · Biochemical Genetics · doi:10.1007/s10528-021-10051-0 · Cited by 17
Zheng, J., Li, X., Cai, C., Hong, C., & Zhang, B. (2021) · Cancer Management and Research · doi:10.2147/cmar.s295003 · Cited by 17
Ramdath, S., Mellem, J. J., & Mbatha, L. S. (2021) · Journal of Nanotechnology · doi:10.1155/2021/5525690 · Cited by 17
Challa, C. S., Katari, N. K., Nallanchakravarthula, V., Nayakanti, D., Kapavarapu, R., & Pal, M. (2021) · Journal of Molecular Structure · doi:10.1016/j.molstruc.2021.131069 · Cited by 17
Chen, Z., Jin, Z., Yang, L., Liu, Y., Liu, J., Cai, S., Shen, Y., & Guo, S. (2022) · Materials Today Chemistry · doi:10.1016/j.mtchem.2021.100760 · Cited by 17
Akhlaghipour, I., Fanoodi, A., Zangouei, A. S., Taghehchian, N., Khalili‐Tanha, G., & Moghbeli, M. (2023) · Biochemical Genetics · doi:10.1007/s10528-023-10346-4 · Cited by 17
Lange, J. T., Chen, C. Y., Pichugin, Y., Xie, L., Tang, J., Hung, K. L., Yost, K. E., Shi, Q., Erb, M. L., Rajkumar, U., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.11.447968 · Cited by 17
A multiplex, prime editing framework for identifying drug resistance variants at scalePreprint
Chardon, F. M., Suiter, C. C., Daza, R. M., Smith, N. T., Parrish, P. C. R., McDiarmid, T. A., Lalanne, J., Martin, B., Calderon, D., Ellison, A., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.27.550902 · Cited by 17
In situ metabolic Characterisation of Breast Cancer and its Potential Impact on Therapy
Petővári, G., Dankó, T., Tőkés, A.-M., Vetlényi, E., Krencz, I., Raffay, R., Hajdu, M., Sztankovics, D., Németh, K., Vellai-Takács, K., et al. (2020) · Cancers · doi:10.3390/cancers12092492 · Cited by 16
Zhang, H., Xu, X., Cao, Y., Chen, Z., Liu, W., Lu, X., & Li, C. (2025) · Angewandte Chemie International Edition · doi:10.1002/anie.202424830 · Cited by 16
Recent Advances in Smart Linkage Strategies for Developing Drug Conjugates for Targeted Delivery
Zhang, J., Yang, Z., Liu, Y., Liu, Y., Qu, J., & Pan, X. (2025) · Topics in Current Chemistry · doi:10.1007/s41061-025-00497-w · Cited by 16
Hu, D., Liu, H., Guo, Y., Zhang, H., Qiu, M., Yang, Z., Hao, J., Jiang, Z., Gao, M., Zhang, X., et al. (2025) · APOPTOSIS · doi:10.1007/s10495-025-02143-8 · Cited by 16
Li, H., Xu, W., Cheng, W., Yu, G., & Tang, D. (2025) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1612089 · Cited by 17
Li, C.-H., Yuan, Y.-X., Jiang, X.-L., & Wang, Q. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1702436 · Cited by 15
The role of molecular heterogeneity targeting resistance mechanisms to lung cancer therapies
Attili, I., Re, M. D., Guerini‐Rocco, E., Crucitta, S., Pisapia, P., Pepe, F., Barberis, M. C. P., Troncone, G., Danesi, R., de Marinis, F., et al. (2021) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2021.1943365 · Cited by 17
Exosomes-mediated tumor treatment: One body plays multiple roles
Xu, N., Guo, R., Yang, X., Li, N., Yu, J., & Zhang, P. (2021) · Asian Journal of Pharmaceutical Sciences · doi:10.1016/j.ajps.2021.08.003 · Cited by 16
Sokol, I., Toma, M., Krnić, M., Meščić, A., Drenjančević, D., Liekens, S., Raić‐Malić, S., & Kraljević, T. G. (2021) · Future Medicinal Chemistry · doi:10.4155/fmc-2021-0161 · Cited by 16
Zhou, X., Dai, X., Tan, J., Wu, X., Zhou, X., Liao, C., & Zhang, S. (2021) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.1c16293 · Cited by 16
Dual-Targeted Therapy Circumvents Non-Genetic Drug Resistance to Targeted Therapy
Wang, W., Sun, Y., Liu, X., Kumar, S. K., Jin, F., & Dai, Y. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.859455 · Cited by 16
Self-Assembly of Small Organic Molecules into Luminophores for Cancer Theranostic Applications
Wang, J., Wang, X., Yang, K. H., Hu, S., & Wang, W. (2022) · Biosensors · doi:10.3390/bios12090683 · Cited by 16
Pegylated Curcumin Derivative: Water-Soluble Conjugates with Antitumor and Antibacterial Activity
Yakub, G., Manolova, N. E., Rashkov, I. B., Markova, N., Toshkova, R. A., Georgieva, A. K., Mincheva, R., Toncheva, A., Raquez, J., & Dúbois, P. (2022) · ACS Omega · doi:10.1021/acsomega.2c04173 · Cited by 16
Engineered multifunctional nanocarriers for controlled drug delivery in tumor immunotherapy
Katopodi, T., Petanidis, S., Tsavlis, D., Anestakis, D., Charalampidis, C., Chatziprodromidou, I. P., Eskitzis, P., Zarogoulidis, P., Kosmidis, C. S., Matthaios, D., et al. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.1042125 · Cited by 17
Uliano, J., Nicolò, E., Corvaja, C., Salimbeni, B. T., Trapani, D., & Curigliano, G. (2022) · Expert Review of Clinical Pharmacology · doi:10.1080/17512433.2022.2142559 · Cited by 16
TRPV4 Promotes Metastasis in Melanoma by Regulating Cell Motility through Cytoskeletal Rearrangement
Huang, S., Yu, S., Deng, R., Liu, H., Ding, Y., Sun, Y., Chen, W., Wang, A., Wei, Z., & Lu, Y. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232315155 · Cited by 16
Wang, L., Xiao, K., Dong, Z., Meng, T., Cheng, X., & Xu, Y. (2023) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-023-04916-7 · Cited by 16
Kim, J. S., Shin, M. J., Lee, S. Y., Kim, D. K., Choi, K. U., Suh, D. S., Kim, D., & Kim, J. H. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241210306 · Cited by 16
Li, T., Li, Y., Wu, H., Peng, C., Wang, J., Chen, S., Zhao, T., Li, S., Qin, X., & Liu, Y. (2023) · Mechanobiology in Medicine · doi:10.1016/j.mbm.2023.100023 · Cited by 18
Nanosponge-mediated oligonucleotide delivery: A cutting-edge technology towards cancer management
Khairnar, P., Kolipaka, T., Pandey, G., Phatale, V., Shah, S., Srinivasarao, D. A., Saraf, S., & Srivastava, S. (2023) · Journal of Drug Delivery Science and Technology · doi:10.1016/j.jddst.2023.105226 · Cited by 16
Research progress of exosomes in drug resistance of breast cancer
Liu, L., Jiang, D., Bai, S., Zhang, X., & Kang, Y. (2024) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2023.1214648 · Cited by 17
Exosomes: A Cutting-Edge Theranostics Tool for Oral Cancer
Kalele, K., Nyahatkar, S., Mirgh, D., Muthuswamy, R., Adhikari, M. D., & Anand, K. (2024) · ACS Applied Bio Materials · doi:10.1021/acsabm.3c01243 · Cited by 16
Luo, P., Liu, Z., Lai, C., Jin, Z., Wang, M., Zhao, H., Liu, Y., Zhang, W., Wang, X., Xiao, C., et al. (2024) · Journal of the American Chemical Society · doi:10.1021/jacs.4c00316 · Cited by 16
Shao, N., Yuan, L., Liu, L., Cong, Z., Wang, J., Wu, Y., & Liu, R. (2024) · Journal of the American Chemical Society · doi:10.1021/jacs.4c00434 · Cited by 17
Choi, J., Shin, J. H., Kim, T. K., Kim, K., Kim, J.-Y., Jeon, E., Park, J., Han, Y. D., Kim, K., Sim, T., et al. (2024) · Cancer Letters · doi:10.1016/j.canlet.2024.216904 · Cited by 19
Biological clock regulation by the PER gene family: a new perspective on tumor development
Chen, K., Wang, Y., Li, D., Wu, R., Wang, J., Wei, W., Zhu, W., Xie, W., Feng, D., & He, Y. (2024) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2024.1332506 · Cited by 16
Recent advanced lipid-based nanomedicines for overcoming cancer resistance
Dechbumroong, P., Hu, R., Keaswejjareansuk, W., Namdee, K., & Liang, X. (2024) · Cancer Drug Resistance · doi:10.20517/cdr.2024.19 · Cited by 18
Wang, Z., Ren, M., Liu, W., Wu, J., & Tang, P. (2024) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2024.189147 · Cited by 16
Terpenoids from quinoa reverse drug resistance of colon cancer by upregulating miR ‐495‐3p
Feng, M., Fan, X., Shi, J., Shan, S., Li, S., He, S., Ding, M., & Li, Z. (2024) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.13718 · Cited by 16
Overcoming cancer drug-resistance calls for novel strategies targeting abnormal alternative splicing
Zhang, J., Xu, X., Deng, H., Liu, L., Xiang, Y., & Feng, J. (2024) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2024.108697 · Cited by 18
Synthesis, characterization and application of hydrogel for cancer treatment
Jain, N., Kejariwal, M., Chowdhury, F. I., Noor, I. M., Savilov, S. V., Yahya, M. Z. A., Diantoro, M., & Singh, P. K. (2024) · Chemical Physics Impact · doi:10.1016/j.chphi.2024.100737 · Cited by 16
Perra, M., Castangia, I., Aroffu, M., Fulgheri, F., Rached, R. A., Manca, M. L., Cortés, H., Prado-Audelo, M. L. D., Nomura-Contreras, C. A., Romero‐Montero, A., et al. (2025) · Discover Oncology · doi:10.1007/s12672-025-01820-z · Cited by 16
The Impact of Polyunsaturated Fatty Acids in Cancer and Therapeutic Strategies
Yan, D., Hou, Y., Lei, X., Xiao, H., Zeng, Z., Xiong, W., & Fan, C. (2025) · Current Nutrition Reports · doi:10.1007/s13668-025-00639-y · Cited by 18
Li, F., Guo, E., Huang, J. M., Lu, F., Yang, B., Xiao, R., Liu, C., Wu, X. Y., Fu, Y., Wang, Z., et al. (2020) · PubMed Central · Cited by 16
Progress of long noncoding RNAs in anti-tumor resistance
Zhang, H., Wang, Y., Liu, X., & Li, Y. (2020) · Pathology - Research and Practice · doi:10.1016/j.prp.2020.153215 · Cited by 16
The Roles of CircRNAs in Bladder Cancer: Biomarkers, Tumorigenesis Drivers, and Therapeutic Targets
Cheng, F., Zheng, B., Si, S., Wang, J., Zhao, G., Yao, Z., Niu, Z., & He, W. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.666863 · Cited by 16
Lu, J., Huang, W. T., Zhou, K., Zhao, X., Yang, S., Xia, L., & Ding, X. (2021) · Small · doi:10.1002/smll.202104034 · Cited by 16
KRAS-G12C covalent inhibitors: A game changer in the scene of cancer therapies
Naim, N., Moukheiber, S., Daou, S., & Kourié, H. R. (2021) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2021.103524 · Cited by 16
Cancer Conformational Landscape Shapes Tumorigenesis
Bamberger, C., Diedrich, J. K., Martínez‐Bartolomé, S., & Yates, J. R. (2022) · Journal of Proteome Research · doi:10.1021/acs.jproteome.1c00906 · Cited by 16
Therapeutic Potential of Natural Products in the Treatment of Renal Cell Carcinoma: A Review
Feng, C., Lyu, Y., Gong, L., & Wang, J. (2022) · Nutrients · doi:10.3390/nu14112274 · Cited by 16
Yung, M. M. H., Siu, M. K. Y., Ngan, H., Chan, D. W., & Chan, K. K. L. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23126857 · Cited by 18
Dot extrusion bioprinting of spatially controlled heterogenous tumor models
Wei, X., Huang, B., Chen, K., Fan, Z., Wang, L., & Xu, M. (2022) · Materials & Design · doi:10.1016/j.matdes.2022.111152 · Cited by 16
State-of-the-art: MXene structures in nano-oncology
Manisekaran, R., Chettiar, A. R., Kandasamy, G., García‐Contreras, R., & Acosta‐Torres, L. S. (2023) · Biomaterials Advances · doi:10.1016/j.bioadv.2023.213354 · Cited by 16
In situ valence-transited arsenic nanosheets for multi-modal therapy of colorectal cancer
Zheng, H., Zhang, K., Piao, J., Mu, C., Xie, X., Cheng, M., Yue, T., Sun, J., Li, B., Wei, Y., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-57376-7 · Cited by 15
Bendrihem, K. A., Mouane, A., Azzi, M., Mihoubi, M. A., Atanassova, M., SAWICKA, B. H., Zahnit, W., & Messaoudi, M. (2025) · Phytotherapy Research · doi:10.1002/ptr.8481 · Cited by 16
Sequence-defined polymers for biomedical applications
Jäck, N., Nagel, S., & Hartmann, L. (2025) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2025.101993 · Cited by 16
Qiu, H.-W., Liu, Y., Zhou, H.-M., Hu, L.-J., Qi, W., Ma, H., Liu, Y.-Y., Li, L., Yang, N., Huang, M.-Q., et al. (2025) · Cell Death and Disease · doi:10.1038/s41419-025-08146-2 · Cited by 15
MicroRNAs as Predictive Biomarkers of Resistance to Targeted Therapies in Gastrointestinal Tumors
Angerilli, V., Galuppini, F., Businello, G., Santo, L. D., Savarino, E. V., Realdon, S., Guzzardo, V., Nicolè, L., Lazzarin, V., Lonardi, S., et al. (2021) · Biomedicines · doi:10.3390/biomedicines9030318 · Cited by 16
Thermodynamic Genome-Scale Metabolic Modeling of Metallodrug Resistance in Colorectal Cancer
Herrmann, H. A., Rusz, M., Baier, D., Jakupec, M. A., Keppler, B. K., Berger, W., Koellensperger, G., & Zanghellini, J. (2021) · Cancers · doi:10.3390/cancers13164130 · Cited by 15
LGCMDS: Predicting miRNA-Drug Sensitivity based on Light Graph Convolution Network
Yu, S., Xu, H., Li, Y., Liu, D., & Deng, L. (2021) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm52615.2021.9669566 · Cited by 15
Masiero, M., Boulos, P. B., Crake, C., Rowe, C., & Coviello, C. M. (2022) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2022.03.010 · Cited by 15
Jaswal, R., Kaliannagounder, V. K., Kumar, D., Park, C. H., & Kim, C. S. (2022) · Composites Part B Engineering · doi:10.1016/j.compositesb.2022.110129 · Cited by 15
Atkins, M. B., Abu‐Sbeih, H., Ascierto, P. A., Bishop, M., Chen, D. S., Dhodapkar, M. V., Emens, L. A., Ernstoff, M. S., Ferris, R. L., Greten, T. F., et al. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2022-005413 · Cited by 15
Genomic Landscape and Potential Regulation of RNA Editing in Drug Resistance
Zhou, X., Mitra, R., Hou, F., Zhou, S., Wang, L., & Jiang, W. (2023) · Advanced Science · doi:10.1002/advs.202207357 · Cited by 15
Hu, X., Liu, X., Khatri, U., & Wu, J. (2023) · Drug Resistance Updates · doi:10.1016/j.drup.2023.100958 · Cited by 15
Vinogradov, A. E., & Anatskaya, O. V. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24076196 · Cited by 15
Anthelmintic Drugs as Emerging Immune Modulators in Cancer
Stolfi, C., Pacifico, T., Luiz-Ferreira, Â., Monteleone, G., & Laudisi, F. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24076446 · Cited by 19
Gao, M., & Shang, X. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1147778 · Cited by 15
Cellular barcoding: From developmental tracing to anti-tumor drug discovery
Wang, Y., Zhang, X., & Wang, Z. (2023) · Cancer Letters · doi:10.1016/j.canlet.2023.216281 · Cited by 16
Nothing makes sense in drug resistance except in the light of evolution
Gabaldón, T. (2023) · Current Opinion in Microbiology · doi:10.1016/j.mib.2023.102350 · Cited by 15
Cao, L., Xie, Y., Chen, Z., & Ashby, C. R. (2023) · Journal of Translational Internal Medicine · doi:10.2478/jtim-2023-0081 · Cited by 15
Liu, Z., Dai, Q., Yu, X., Duan, X., & Wang, C. (2023) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2023.3299423 · Cited by 15
Akbar, M. U., Akbar, A., Saddozai, U. A. K., Khan, M. I. U., Zaheer, M., & Badar, M. (2023) · Materials Advances · doi:10.1039/d3ma00389b · Cited by 15
Synthetic and pharmacological developments in the hybrid s-triazine moiety: A review
Bareth, D., Jain, S., Kumawat, J., Kishore, D., Dwivedi, J., & Hashmi, S. Z. (2023) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2023.106971 · Cited by 15
Kleshnina, M., Streipert, S., Brown, J. S., & Staňková, K. (2023) · Dynamic Games and Applications · doi:10.1007/s13235-023-00544-5 · Cited by 15
Harnessing atomic force microscopy‐based single‐cell analysis to advance physical oncology
Li, M. (2023) · Microscopy Research and Technique · doi:10.1002/jemt.24467 · Cited by 16
Metadata
- Authors
- Vasan, N., Baselga, J., & Hyman, D. M.
- Affiliations
- Memorial Sloan Kettering Cancer Center (US)
- Corresponding author
- Hyman, David M.
- Venue
- Nature
- Published
- 2019-11-13
- Volume
- 575
- Issue
- 7782
- Pages
- 299-309
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC8008476
- OpenAlex
- W2988773550
- Cited by
- 2,770
- References
- 188
- Citations by year
- 2026: 344 · 2025: 533 · 2024: 524 · 2023: 467 · 2022: 397 · 2021: 346 · 2020: 150 · 2019: 4
- FWCI
- 21.44
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Eli Lilly and Company
- National Cancer Institute (R01CA207244, R01CA190642, P30CA008748, T32CA009207)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Keywords
- chemoresistance, tumor heterogeneity, tumor microenvironment, tumor immune evasion, tumor growth kinetics, tumor burden, early cancer detection, adaptive monitoring, synthetic lethality screen, precision oncology
- MeSH terms
- Antineoplastic Agents, Humans, Models, Biological, Neoplasms, Drug Resistance, Neoplasm, Tumor Microenvironment
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