The DOI matches its Crossref record; 172 of the 172 references it cites were found in a registry or an index.
Combinatorial drug therapy for cancer in the post-genomic era
Abstract
Over the past decade, whole genome sequencing and other 'omics' technologies have defined pathogenic driver mutations to which tumor cells are addicted. Such addictions, synthetic lethalities and other tumor vulnerabilities have yielded novel targets for a new generation of cancer drugs to treat discrete, genetically defined patient subgroups. This personalized cancer medicine strategy could eventually replace the conventional one-size-fits-all cytotoxic chemotherapy approach. However, the extraordinary intratumor genetic heterogeneity in cancers revealed by deep sequencing explains why de novo and acquired resistance arise with molecularly targeted drugs and cytotoxic chemotherapy, limiting their utility. One solution to the enduring challenge of polygenic cancer drug resistance is rational combinatorial targeted therapy.
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
“Combination therapies using two or more therapeutic agents can be superior to single-agent therapies in the treatment of cancers (1–3).”
From Statistical Assessment of Drug Synergy from In Vivo Combination Studies Using Mouse Tumor Models (2023) · cites this paper as [1]
In the citing paper
“combinations of inhibitors targeting multiple effector and/or feedback pathways have shown impressive activity in KRAS mutant model systems”
From A Landscape of Therapeutic Cooperativity in KRAS Mutant Cancers Reveals Principles for Controlling Tumor Evolution (2017) · cites this paper as Al-Lazikani et al., 2012
In the citing paper
“The activity of single agent therapies targeting individual RAS effector pathways is limited”
From A Landscape of Therapeutic Cooperativity in KRAS Mutant Cancers Reveals Principles for Controlling Tumor Evolution (2017) · cites this paper as Al-Lazikani et al., 2012
In the citing paper
“To minimize the emergence of resistant clones and to achieve maximal therapeutic response, combinations of different classes of therapeutic agents123 are commonly used.”
From MDM2, MDMX and p53 in oncogenesis and cancer therapy (2013) · cites this paper as [123]
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
Hanahan, D., & Weinberg, R. A. (2000) · Cell · doi:10.1016/s0092-8674(00)81683-9 · Cited by 29,219
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
Slamon, D. J., Leyland-Jones, B., Shak, S., Fuchs, H., Paton, V., Bajamonde, A., Fleming, T., Eiermann, W., Wolter, J., Pegram, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200103153441101 · Cited by 11,500
Gefitinib or Carboplatin–Paclitaxel in Pulmonary Adenocarcinoma
Mok, T. S., Wu, Y.-L., Thongprasert, S., Yang, C.-H., Chu, D.-T., Saijo, N., Sunpaweravong, P., Han, B., Margono, B., Ichinose, Y., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0810699 · Cited by 8,261
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Barretina, J., Caponigro, G., Stransky, N., Venkatesan, K., Margolin, A. A., Kim, S., Wilson, C. J., Lehár, J., Kryukov, G. V., Sonkin, D., et al. (2012) · Nature · doi:10.1038/nature11003 · Cited by 7,950
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
Improved survival with vemurafenib in melanoma with BRAF V600E mutation
Chapman, P. B., Hauschild, A., Robert, C., Haanen, J. B., Ascierto, P., Larkin, J., Dummer, R., Garbe, C., Testori, A., Maio, M., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1103782 · Cited by 7,720
Chou, T.-C., & Talalay, P. (1984) · Advances in Enzyme Regulation · doi:10.1016/0065-2571(84)90007-4 · Cited by 7,178
Coiffier, B., Lepage, E., Brière, J., Herbrecht, R., Tilly, H., Bouabdallah, R., Morel, P., Van Den Neste, E., Salles, G., Gaulard, P., et al. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa011795 · Cited by 5,574
Flagged first, then by citations
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 601–700 of 999
MoS2-based biomaterials for cancer therapy
Wang, X., Chang, J., & Wu, C. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-813477-1.00007-4 · Cited by 13
Ali, S., Tahir, M., Khan, A. A., Chen, X. C., Ma, L., & Huang, Y. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20051125 · Cited by 13
“Importantly, it can lead the way to personalized medicine, mainly in the therapy of resistant cancers [4,5].”
BackgroundHeterogeneity and Plasticity of Human Breast Cancer Cells in Response to Molecularly-Targeted Drugs
Bousoik, E., Nabiee, R., Amirrad, F., Nichols, A., Witt, R., Mahdipoor, P., & Aliabadi, H. M. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.01070 · Cited by 13
“While cells rely on an “addiction pathway” (specific overexpressed and/or overactivated pathway), exposure to molecularly-targeted drugs could prompt the cells to bypath the targeted protein by activating alternative or “off-target” proteins and/or pathways (6).”
Oketch‐Rabah, H. A., Hardy, M. L., Patton, A. P., Chung, M. C., Sarma, N. D., Yoe, C., Ayyadurai, V. A. S., Fox, M. A., Jordan, S. A., Mwamburi, M., et al. (2020) · Journal of Dietary Supplements · doi:10.1080/19390211.2020.1741485 · Cited by 13
“…provides a platform for mechanistic modeling of complex molecular pathways (V. A. Ayyadurai and Dewey 2011; V. A. Ayyadurai 2010), integrating existing molecular pathway information derived from peer-reviewed journals and clinical data to produce mechanistic models (Al-Lazikani et al. 2012).”
BackgroundStrategies to Enhance Logic Modeling-Based Cell Line-Specific Drug Synergy Prediction
Niederdorfer, B., Touré, V., Vázquez, M., Thommesen, L., Kuiper, M. T. R., Lægreid, A., & Flobak, Å. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.00862 · Cited by 11
“Drug combinations are anticipated to advance cancer therapy by targeting multiple trajectories of the complex signaling crosstalk regulating cancer cell fate (Al-Lazikani et al., 2012; Hyman et al., 2017; Senft et al., 2017).”
BackgroundKim, M. T., Richer, M. J., Gross, B., Norian, L. A., Badovinac, V. P., & Harty, J. T. (2015) · The Journal of Immunology · doi:10.4049/jimmunol.1501071 · Cited by 13
“Thus, single therapeutic modalities appear to lack potency, and the field has turned to combination immunotherapies with the potential to enhance clinical outcome (32, 42).”
BackgroundLamichhane, A., Thakuri, P. S., Nejad, P. R., & Tavana, H. (2021) · Experimental Biology and Medicine · doi:10.1177/15353702211014185 · Cited by 13
“Considering that treating cancers with a single drug almost always fails due to drug resistance, combination therapies are crucial to improve outcomes for patients.(68) Consistent with clinical trials in different cancers,(69,70) our preclinical studies with the CRC tumor spheroid model demonstrated significant anti-t…”
ResultDose–response prediction for in-vitro drug combination datasets: a probabilistic approach
Rønneberg, L., Kirk, P., & Zucknick, M. (2023) · BMC Bioinformatics · doi:10.1186/s12859-023-05256-6 · Cited by 12
“Utilizing combinations of drugs to treat cancer is commonplace in modern treatment regimes offered to patients [1, 2].”
BackgroundWu, F., Li, G., Shen, H., Huang, J., Liu, Z., Zhu, Y., Zhong, Q., Ou, R., Zhang, Q. H., & Liu, S. (2023) · Journal of Inflammation Research · doi:10.2147/jir.s408358 · Cited by 12
“Combinations of anti-cancer drugs is an effective strategy to overcome resistance and provide new treatments.(39) We further select the predicted CENPI interacting protein AURKB for synergistic anti-cancer assay, as it is overexpressed in several types of cancers and inhibition of this kinase leads to mitotic catastro…”
BackgroundBioorthogonal CRISPR/Cas9‐Drug Conjugate: A Combinatorial Nanomedicine Platform
Beha, M. J., Kim, J., Im, S. H., Kim, Y., Yang, S., Lee, J. H., Nam, Y. R., Lee, H., Park, H., & Chung, H. J. (2023) · Advanced Science · doi:10.1002/advs.202302253 · Cited by 11
Synergistic Drug Combinations Promote the Development of Resistance in Acute Myeloid Leukemia
Mason‐Osann, E., Pomeroy, A. E., Palmer, A. C., & Mettetal, J. T. (2024) · Blood Cancer Discovery · doi:10.1158/2643-3230.bcd-23-0067 · Cited by 14
“Combination therapy continues to be a valuable element of cancer treatment in the era of targeted therapies (1, 19, 20).”
BackgroundSantos, N., Fuentes-Lemus, E., & Ahumada, M. (2024) · Journal of Materials Chemistry B · doi:10.1039/d4tb00299g · Cited by 12
Hassan, H. M., Hassan, R., Elmagzoub, R. M., Al‐Emam, A., Kossenas, K., Abdel-Samea, A. S., Khalifa, H. O., Akocak, S., Braese, S., & Hashem, H. (2025) · Pharmaceuticals · doi:10.3390/ph18010072 · Cited by 12
Li, Y.-T., Qian, X.-J., Yu, Y., Li, Z.-H., Wu, R.-Y., Ji, J., Jiao, L., Li, X., Kong, P., Chen, W.-D., et al. (2015) · Oncotarget · doi:10.18632/oncotarget.3959 · Cited by 12
“Novel targeted therapies have shown considerable clinical efficacy with improvements in overall survival across a spectrum of human cancers [13-15].”
BackgroundCombinatorial Nanotherapeutics: Rewiring, Then Killing, Cancer Cells
Fang, R. H., & Zhang, L. (2014) · Science Signaling · doi:10.1126/scisignal.2005386 · Cited by 12
“This increased insight has led to the directed design of combinatorial therapies that better exploit the weaknesses of cancer cells (5, 6).”
BackgroundWang, M., Liu, Z., Huang, X., Chen, Y., Wang, Y., Kong, J., Yang, Y., Yu, C., Li, J., Wang, X., et al. (2021) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2021.104741 · Cited by 12
Biswas, P., Datta, H. K., & Dastidar, P. (2022) · Biomaterials Science · doi:10.1039/d2bm00752e · Cited by 12
Broutin, S., Stewart, A., Thavasu, P., Paci, A., Bidart, J., & Banerji, U. (2016) · British Journal of Cancer · doi:10.1038/bjc.2016.220 · Cited by 12
“…between the clinical outcomes following m-TOR inhibitor treatment and our data showing that NSCLC cells are more sensitive to m-TOR inhibitors compared with MEK inhibitors, may be explained by signalling though feedback loops and parallel signal transduction pathways (Al-Lazikani et al, 2012).”
BackgroundSelf-citationExcipient-free porphyrin/SN-38 based nanotheranostics for drug delivery and cell imaging
Yuan, Y., Bo, R., Jing, D., Ma, Z., Wang, Z., Lin, T., Dong, L., Xue, X., & Li, Y. (2020) · Nano Research · doi:10.1007/s12274-020-2641-z · Cited by 12
Kravchenko‐Balasha, N. (2020) · PROTEOMICS · doi:10.1002/pmic.201900227 · Cited by 12
Patra, D., Kumar, P., Samanta, T., Chakraborty, I., & Shunmugam, R. (2022) · ACS Applied Bio Materials · doi:10.1021/acsabm.1c01300 · Cited by 12
Unearthing new genomic markers of drug response by improved measurement of discriminative power
Dang, C. C., Peón, A., & Ballester, P. J. (2018) · BMC Medical Genomics · doi:10.1186/s12920-018-0336-z · Cited by 12
Building a unified model for drug synergy analysis powered by large language models
Liu, T., Chu, T., Luo, X., & Zhao, H. (2025) · Nature Communications · doi:10.1038/s41467-025-59822-y · Cited by 15
“Our full prediction results are summarized in Supplementary Data 3.”
InfluentialHe, F., Wu, H., Zhao, F., Liu, X., Yang, Q., Zhou, S., Xu, T., Xu, J., Wang, S., & Zou, D. (2025) · Pharmacological Research · doi:10.1016/j.phrs.2025.107856 · Cited by 12
Sensitizing drug-resistant cancer cells from blood using microfluidic electroporator
Sung, H. W., Choi, S., Chu, C. H., Ouyang, M., Kalyan, S., Scott, N., & Hur, S. C. (2022) · PLoS ONE · doi:10.1371/journal.pone.0264907 · Cited by 11
“One treatment modality that has seen developing interest and success in target drug resistance involves synergistic combinations of multiple licensed therapeutic agents [41, 42].”
BackgroundZhang, X., Yang, Y., Qi, G.-X., Zhai, F.-H., Teng, F., Wang, J., Yu, Y., & Chen, S. (2023) · Analytical Chemistry · doi:10.1021/acs.analchem.3c01140 · Cited by 11
Computational Advancements in Cancer Combination Therapy Prediction
Flanary, V. L., Fisher, J. L., Wilk, E. J., Howton, T. C., & Lasseigne, B. N. (2023) · JCO Precision Oncology · doi:10.1200/po.23.00261 · Cited by 11
Mata-Ventosa, A., Vila-Planas, A., Solsona‐Pujol, A., de la Dueña, J., Torrents, M., Izquierdo‐García, E., Pastor‐Anglada, M., Pérez‐Torras, S., & Terrazas, M. (2024) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2024.107595 · Cited by 13
Yan, X., Tan, D., Yu, L., Li, D., Huang, W., Huang, W., & Wu, H. (2024) · ACS Pharmacology & Translational Science · doi:10.1021/acsptsci.4c00565 · Cited by 13
Exploring combinations of dihydroartemisinin for cancer therapy: A comprehensive review
Rani, K., Sahu, R. C., Chaudhuri, A., Kumar, D. N., Arora, S., Kumari, V., & Agrawal, A. K. (2025) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2025.151854 · Cited by 12
Gene context drift identifies drug targets to mitigate cancer treatment resistance
Jassim, A., Nimmervoll, B. V., Terranova, S., Nathan, E., Hu, L., Taylor, J., Masih, K. E., Ruff, L., Duarte, M., Cooper, E. A., et al. (2025) · Cancer Cell · doi:10.1016/j.ccell.2025.06.005 · Cited by 11
A tumor deconstruction platform identifies definitive end points in the evaluation of drug responses
Naik, R. R., Singh, A. K., Mali, A. M., Khirade, M. F., & Bapat, S. A. (2015) · Oncogene · doi:10.1038/onc.2015.130 · Cited by 11
Ramos, A. A., Castro‐Carvalho, B., Prata‐Sena, M., Malhão, F., Buttachon, S., Dethoup, T., Kijjoa, A., & Rocha, E. (2019) · Environmental Toxicology · doi:10.1002/tox.22886 · Cited by 11
“In the last decades, the use of natural compounds as adjuvant therapy with conventional anticancer drugs has been explored to enhance anticancer efficacy and overcome the chemoresistance limitation.(6,7) Some natural compounds act synergistically in multiple targets, enhancing the efficacy of conventional anticancer d…”
BackgroundMultiobjective optimization identifies cancer-selective combination therapies
Pulkkinen, O. I., Gautam, P., Mustonen, V., & Aittokallio, T. A. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008538 · Cited by 11
“In this case, the combination is nonselective against the particular cancer cells, and may result in a degree of toxic effects as well.”
Kenchappa, R. S., Liu, Y., Argenziano, M., Banu, M. A., Mladek, A. C., West, R., Luu, A., Quiñones‐Hinojosa, A., Hambardzumyan, D., Justilien, V., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.110054 · Cited by 11
Path to Clonal Theranostics in Luminal Breast Cancers
Hajjaji, N., Aboulouard, S., Cardon, T., Bertin, D., Robin, Y. M., Fournier, I., & Salzet, M. (2021) · Frontiers in Oncology · doi:10.2139/ssrn.3907620 · Cited by 11
Shin, Y. B., Choi, J., Shin, D. H., & Lee, J. (2023) · International Journal of Nanomedicine · doi:10.2147/ijn.s394712 · Cited by 13
“By administering a combination of two drugs acting via different molecular mechanisms, individual compound doses can be reduced to minimize or lower drug toxicity.(34,35) In addition, it can reduce the likelihood of drug resistance arising from continued treatment with a single drug.”
BackgroundTargeting melanoma by small molecules: challenges ahead
Haq, R., & Fisher, D. E. (2013) · Pigment Cell & Melanoma Research · doi:10.1111/pcmr.12109 · Cited by 11
“Additionally, computational models of drug action, such as network or evolutionary models (Al-Lazikani et al., 2012), may be particularly useful in thedevelopmentof combination therapies.”
BackgroundAlex, M. R. A., Nagpal, N., Kulshreshtha, R., & Koul, V. (2015) · RSC Advances · doi:10.1039/c5ra00409h · Cited by 11
Functional Nanofiber for Drug Delivery Applications
Imani, R., Yousefzadeh, M., & Nour, S. (2018) · Springer eBooks · doi:10.1007/978-3-319-42789-8_34-1 · Cited by 11
Stimuli-responsive sugar-derived hydrogels: A modern approach in cancer biology
Maity, S., Chatterjee, A., & Ganguly, J. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-817592-7.00018-6 · Cited by 11
Kleczko, E. K., Kim, J., Keysar, S. B., Heasley, L. R., Eagles, J. R., Simon, M., Marshall, M. E., Singleton, K. R., Jimeno, A., Tan, A. C., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0123600 · Cited by 11
“Rather, combination therapy with cocktails of TKIs and other targeted therapeutics is being put forward as a strategy for long-term control of cancers [48,49].”
BackgroundColuccia, A., Bufano, M., Regina, G. L., Puxeddu, M., Toto, A., Paone, A., Bouzidi, A., Musto, G., Badolati, N., Orlando, V., et al. (2022) · Cancers · doi:10.3390/cancers14051358 · Cited by 11
“Moreover, by virtue of this pathway’s importance in physiological conditions, anticancer drugs acting as specific negative modulators of the pathway should be preferred to pure inhibitors of WNT– β -catenin signaling [50,51].”
BackgroundPatra, D., Kumar, P., Dash, T. K., Chakraborty, I., Bhattacharyya, R., & Shunmugam, R. (2022) · ACS Applied Polymer Materials · doi:10.1021/acsapm.1c01591 · Cited by 11
Ferraldeschi, R., Attard, G., & Bono, J. S. D. (2012) · Clinical Chemistry · doi:10.1373/clinchem.2012.185157 · Cited by 11
Kumar, S., Chaudhary, A. K., Kumar, R., O’Malley, J., Dubrovska, A., Wang, X., Yadav, N., Goodrich, D. W., & Chandra, D. (2016) · Molecular Oncology · doi:10.1016/j.molonc.2016.03.007 · Cited by 11
Safavi, M., Sabourian, R., & Abdollahi, M. R. (2016) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2016.1217196 · Cited by 11
“digm for all early trials of new agents is to involve predictive biomarkers for patient selection and PD biomarkers in target modulation assessment [18].”
BackgroundRossanese, O. W., Eccles, S. A., Springer, C. J., Swain, A., Raynaud, F. I., Workman, P., & Kirkin, V. (2016) · Drug Discovery Today Disease Models · doi:10.1016/j.ddmod.2017.07.002 · Cited by 11
Self-citationNanoplatform-Mediated Autophagy Regulation and Combined Anti-Tumor Therapy for Resistant Tumors
Yang, C., Ding, Y., Mao, Z., & Wang, W. (2024) · International Journal of Nanomedicine · doi:10.2147/ijn.s445578 · Cited by 10
“115 Research observed that the combined regimen significantly improves the therapeutic effect, 116 which has synergistic anti-tumor effects and reverses tumor drug resistance, 117 enabling patients to obtain better therapeutic response and longer survival.”
BackgroundKang, C., Zhang, H., & Yin, Y. (2024) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2024.3422673 · Cited by 10
Convex synthesis of symmetric modifications to linear systems
Dhingra, N. K., & Jovanović, M. R. (2015) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2015.7171886 · Cited by 10
“Furthermore, large doses can have additional side effects [23].”
BackgroundHałasa, M., Łuszczki, J. J., Dmoszyńska‐Graniczka, M., Baran, M. T., Okoń, E., Stepulak, A., & Wawruszak, A. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22168573 · Cited by 10
“Further serious limitations of chemotherapy in BC arise from acquired drug resistance, which is considered a key failure factor in anti-cancer treatment [7,8].”
BackgroundLu, H., Liu, H. W., Dinh, T. K., Huang, C.-H., Huang, H., Tseng, Y.-C., Ku, M.-H., Wang, F., Chen, Y., & Peng, C. (2022) · Polymer Chemistry · doi:10.1039/d2py00246a · Cited by 10
A technical note on emerging combination approach involved in the onconanotherapeutics
Iqubal, M. K., Kaur, H., Md, S., Alhakamy, N. A., Iqubal, A., Ali, J., & Baboota, S. (2022) · Drug Delivery · doi:10.1080/10717544.2022.2132018 · Cited by 12
“Thus, attempts were made to use a combination of chemotherapy and immunotherapy to improve the quality of life of chemotherapeutically treated patients (Al-Lazikani et al., 2012).”
BackgroundPatel, J. M., Knopf, J., Reiner, E., Bossuyt, V., Epstein, L. N., DiGiovanna, M. P., Chung, G. G., Silber, A. L. M., Sanft, T. B., Hofstatter, E. W., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.8017 · Cited by 10
“This is consistent with the notion that ultimately combinations of targeted drugs will be required for successful therapy [21].”
Background‘Big data’ approaches for novel anti-cancer drug discovery
Benstead-Hume, G., Wooller, S. K., & Pearl, F. M. G. (2017) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2017.1319356 · Cited by 9
“While some of these targeted therapies have been particularly effective, it appears that they may be somewhat unusual as some of the newer targeted therapies have provided at best only short-lived remissions before resistance takes hold [8,9].”
BackgroundTomić, D., Davidović, D., Szász, A. M., Rezeli, M., Pirkić, B., Petrik, J., Vrca, V. B., Janđel, V., Lipić, T., Skala, K., et al. (2021) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2021.100529 · Cited by 10
“This is now a standard in the treatment of many serious diseases, including cancer [12], bacterial infections [13], and human immunodeficiency virus (HIV) infections [14].”
Kaipa, J. M., Starkuviene, V., Erfle, H., Eils, R., & Gladilin, E. (2020) · PeerJ · doi:10.7717/peerj.10373 · Cited by 9
Patra, D., Kumar, S., Kumar, P., Chakraborty, I., Basheer, B., & Shunmugam, R. (2022) · Biomacromolecules · doi:10.1021/acs.biomac.2c00302 · Cited by 10
Workman, P., & Collins, I. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-396521-9.00001-2 · Cited by 10
Self-citationEndoplasmic Reticulum Protein ERp46 in Renal Cell Carcinoma
Duivenvoorden, W., Paschos, A., Hopmans, S., Austin, R. C., & Pinthus, J. H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0090389 · Cited by 10
“While targeting ERp46 alone may not be effective enough to slow tumor growth long-term clinically, combining inhibition of ERp46 with, for example, temsirolimus or receptor tyrosine kinase inhibitors might be a potential treatment strategy to maximally inhibit multiple growth pathways and to yield synergistic effects…”
BackgroundNanotechnology to Combat Multidrug Resistance in Cancer
Akhter, S., Amin, S., Ahmad, J., Khan, S., Anwar, M., Ahmad, M. Z., Rahman, Z., & Ahmad, F. J. (2014) · Resistance to targeted anti-cancer therapeutics · doi:10.1007/978-3-319-09801-2_10 · Cited by 10
Cross-talk between AMPK and EGFR dependent Signaling in Non-Small Cell Lung Cancer
Praveen, P., Hülsmann, H., Sültmann, H., Kuner, R., & Fröhlich, H. (2016) · Scientific Reports · doi:10.1038/srep27514 · Cited by 10
Integrative analysis of cancer genes in a functional interactome
Ung, M. H., Liu, C.-C., & Cheng, C. (2016) · Scientific Reports · doi:10.1038/srep29228 · Cited by 10
“These genes are functionally important and may modulate or amplify cancer-associated pathways driven by SMNs, and may also represent alternative targets that are more therapeutically actionable from a practical perspective 38 .”
BackgroundMues, M., Karra, L., Romero–Moya, D., Wandler, A. M., Hangauer, M. J., Ksionda, O., Thus, Y. J., Lindenbergh, M. F., Shannon, K., McManus, M. T., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.03.045 · Cited by 10
“, 2012), yet systematic and unbiased screens are essential in finding novel and effective combination therapies (Al-Lazikani et al., 2012; Kummar et al., 2010).”
BackgroundZhao, Y., Tanaka, S., Yuan, B., Sugiyama, K., Onda, K., Kiyomi, A., Takagi, N., Sugiura, M., & Hirano, T. (2019) · The American Journal of Chinese Medicine · doi:10.1142/s0192415x19500599 · Cited by 10
CODEX: COunterfactual Deep learning for the in silico EXploration of cancer cell line perturbations
Schrod, S., Zacharias, H. U., Beißbarth, T., Hauschild, A.-C., & Altenbuchinger, M. (2024) · Bioinformatics · doi:10.1093/bioinformatics/btae261 · Cited by 10
“In comparison to individual drugs, drug combinations can have increased efficacy, and reduced toxicity and adverse side effects as a consequence of reduced dosages (Al-Lazikani et al. 2012, Csermely et al. 2013).”
BackgroundZhang, Z., Su, R. J., Liu, J., Chen, K., Wu, C., Sun, P., & Sun, T. (2024) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2024.117022 · Cited by 10
Cellular and molecular aspects of drug resistance in cancers
Shaik, R., Malik, M. S., Basavaraju, S., Qurban, J., Al-Subhi, F. M. M., Badampudi, S., Peddapaka, J., Shaik, A., Abd‐El‐Aziz, A., Moussa, Z., et al. (2024) · DARU Journal of Pharmaceutical Sciences · doi:10.1007/s40199-024-00545-8 · Cited by 9
“Combination therapy that target numerous pathways, personalized medicine techniques based on specific patient characteristics, and the creation of innovative medications that circumvent resistance mechanisms are all potential approaches to addressing cancer drug resistance [18].”
Physical Encapsulation and Chemotherapy: A Synergistic Hydrogel Strategy for Tumor Suppression
Gong, Y., Yuan, W., Liu, S., Jin, M., Li, S., Tao, L., Chu, Y., Li, H., Yu, Y., Chen, X., et al. (2025) · Advanced Healthcare Materials · doi:10.1002/adhm.202500511 · Cited by 9
Daphnegiravone D from Daphne giraldii induces cell death by targeting ATR in Hep3B cells
Shang, X., Yu, X., Yao, G., & Song, S. (2021) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2021.104802 · Cited by 9
Targeting Breast Cancer: The Familiar, the Emerging, and the Uncharted Territories
Aliabadi, H. M., Manda, A., Sidgal, R., & Chung, C. (2023) · Biomolecules · doi:10.3390/biom13091306 · Cited by 9
Nussbaum, D. P., Martz, C. A., Waters, A. M., Barrera, A., Liu, A., Rutter, J. C., Cerda-Smith, C. G., Stewart, A. E., Wu, C., Çakır, M., et al. (2024) · npj Precision Oncology · doi:10.1038/s41698-024-00615-9 · Cited by 10
“Nonetheless, resistance to first generation ERK/MAPK inhibitors has been problematic, largely secondary to mutational and non-mutational pathway reactivation (4, 7), and strategies that dually inhibit ERK/MAPK or parallel signaling pathways have typically proven transient or clinically toxic in patients (8-10).”
Cancer network activity associated with therapeutic response and synergism
Serra-Musach, J., Mateo, F., Capdevila-Busquets, E., Ponce, G. R. D. G., Zhang, X., Guha, R., Thomas, C. J., Grueso, J., Villanueva, A., Jaeger, S., et al. (2016) · Genome Medicine · doi:10.1186/s13073-016-0340-x · Cited by 9
“Given the existence of > 30,000 possible pair combinations among those drugs currently approved for cancer therapy, the value of data integration has previously been proposed [54].”
BackgroundChilà, R., Terence Hall, G., Abbadessa, G., Broggini, M., & Damia, G. L. M. (2017) · Translational Oncology · doi:10.1016/j.tranon.2016.12.003 · Cited by 9
“003 Introduction Historically, treatment of cancer includes a combination of surgery, chemotherapy, radiotherapy and immunotherapy with the goal to improve the therapeutic index, resulting from the summing of anticancer effects and the non-overlapping side effects of the different treatment modalities [1,2].”
BackgroundDIGREM: an integrated web-based platform for detecting effective multi-drug combinations
Zhang, M., Lee, S., Yao, B., Xiao, G., Xu, L., & Xie, Y. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty860 · Cited by 9
Markiewicz, K. H., Niemirowicz-Laskowska, K., Szymczuk, D., Makarewicz, K., Misztalewska‐Turkowicz, I., Wielgat, P., Majcher, A. M., Milewska, S., Car, H., & Wilczewska, A. Z. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22094898 · Cited by 9
“It should also be emphasized that application of combination treatment, especially the sensitization strategy, is strongly justified due to the fact that targets to develop new drugs are running out [7].”
BackgroundDirect Drug Cocktail Analyses Using Microscale Vortex-Assisted Electroporation
Vickers, D. A. L., Ouyang, M., Choi, C. H., & Hur, S. (2014) · Analytical Chemistry · doi:10.1021/ac501479g · Cited by 9
Kochanek, S. J., Close, D. A., Wang, A. X., Shun, T., Empey, P. E., Eiseman, J. L., & Johnston, P. A. (2019) · SLAS DISCOVERY · doi:10.1177/2472555219844566 · Cited by 9
McKenna, M. T., Weis, J. A., Quaranta, V., & Yankeelov, T. E. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.00616 · Cited by 9
“While other methods have leveraged mechanistic data to identify synergy (Al-Lazikani et al., 2012; Gao et al., 2017; Yin et al., 2018), the proposed equivalent dose framework provides quantitative mechanistic insight into intracellular drug effects and allows for predictions of treatment response under a variety of tr…”
BackgroundBai, D., Mo, S., Zhang, R., Luo, Y., Gao, J., Yang, J. P., Wu, Q., Rahmani, H., Amariuta, T., Grotjahn, D., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-69102-y · Cited by 15
Wang, Q., Cheng, N., Wang, W., & Bao, Y. (2024) · Cancers · doi:10.3390/cancers16091695 · Cited by 8
“The use of combination therapies in cancer treatment is supported by their ability to target multiple pathways simultaneously, a strategy that is particularly relevant for complex diseases like cancer, where redundancy and compensatory mechanisms can quickly lead to drug resistance [67].”
BackgroundCurrent trends in triblock copolymer-based multifunctional nanotheranostics for cancer treatment
Rahmanian, M., Oroojalian, F., Kesharwani, P., & Sahebkar, A. (2024) · Journal of Drug Delivery Science and Technology · doi:10.1016/j.jddst.2024.105985 · Cited by 9
Boonyarit, B., Kositchutima, M., Phattalung, T. N., Yamprasert, N., Thuwajit, C., Rungrotmongkol, T., & Nutanong, S. Y. (2025) · GigaScience · doi:10.1093/gigascience/giaf080 · Cited by 7
Papp, O., Jordán, V., Hetey, S., Balázs, R., Kaszás, V., Bartha, Á., Ordasi, N. N., Kamp, S., Farkas, B., Mettetal, J. T., et al. (2024) · npj Systems Biology and Applications · doi:10.1038/s41540-024-00394-w · Cited by 8
“Published in partnership with the Systems Biology Institute https://doi.org/10.1038/s41540-024-00394-w Network-driven cancer cell avatars for combination discovery and biomarker identi fi cation for DNA damage response inhibitors”
MethodInfluentialBalabanov, S., Wilhelm, T., Venz, S., Keller, G., Scharf, C., Pospisil, H., Braig, M., Barett, C., Bokemeyer, C., Walther, R., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0053668 · Cited by 8
“Due to the molecular complexity of the various cancer entities, network reconstruction of MoA from combinatorial drug experimentation will be of special relevance for cancer therapies [11].”
BackgroundHigh-Throughput Testing of Novel–Novel Combination Therapies for Cancer: An Idea Whose Time Has Come
Scarlett, U. K., Chang, D. C., Murtagh, T. J., & Flaherty, K. T. (2016) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-0440 · Cited by 8
Cao, Z., Wang, X., Cheng, X., Wang, J., & Tang, R. (2017) · International Journal of Polymeric Materials · doi:10.1080/00914037.2016.1252346 · Cited by 8
Network-Oriented Approaches to Anticancer Drug Response
Lecca, P., & Re, A. (2016) · Methods in molecular biology · doi:10.1007/978-1-4939-6539-7_8 · Cited by 8
Targeted delivery of anticancer drugs: new trends in lipid nanocarriers
Oliveira, M. S., Mendes, L. P., & Torchilin, V. P. (2017) · Elsevier eBooks · doi:10.1016/b978-0-323-46144-3.00018-0 · Cited by 8
ROS, Redox Regulation, and Anticancer Therapy
Bansal, M. P. (2023) · Springer eBooks · doi:10.1007/978-981-99-7342-2_9 · Cited by 7
He, C., Guo, Y., Zhou, N., Wang, Z., Liu, T., Xu, X., Wang, F., Zhu, H., Yang, Z., Yang, X., et al. (2024) · International Journal of Nanomedicine · doi:10.2147/ijn.s461701 · Cited by 7
Pisces: A multi-modal data augmentation approach for drug combination synergy prediction
Xu, H., Lin, J., Woicik, A., Liu, Z., Ma, J., Zhang, S., Poon, H., Wang, L., & Wang, S. (2025) · Cell Genomics · doi:10.1016/j.xgen.2025.100892 · Cited by 9
GPerturb: Gaussian process modelling of single-cell perturbation data
Xing, H., & Yau, C. (2025) · Nature Communications · doi:10.1038/s41467-025-61165-7 · Cited by 14
Guan, Q., Chen, R., Tian, Z., Zhang, P., Liu, L., Cheng, M., Zeng, Y., Wu, D., Zhou, M., & 窦红静 (2025) · Nano Research · doi:10.26599/nr.2025.94907906 · Cited by 7
Yin, A., Yamada, A., Stam, W. B., van Hasselt, J. G. C., & van der Graaf, P. H. (2018) · British Journal of Pharmacology · doi:10.1111/bph.14385 · Cited by 8
“The increasing availability of targeted therapeutic agents has raised interest in rationally developing combination therapies associated with improved efficacy profiles or reduction of side effects (Fitzgerald et al., 2006; Al-Lazikani et al., 2012).”
BackgroundGuimarães, R. S., Rodrigues, C. F., Fernandes, N. F., de Melo‐Diogo, D., Ferreira, P. C. N., Correia, I. J., & Moreira, A. F. (2021) · Journal of Inorganic Biochemistry · doi:10.1016/j.jinorgbio.2021.111433 · Cited by 7
Woess, K., Macho‐Maschler, S., Schenau, D. V. I., Butler, M., Lassnig, C., Valcanover, D., Poelzl, A., Meissl, K., Maurer, B., Brandstoetter, T., et al. (2022) · Haematologica · doi:10.3324/haematol.2021.279848 · Cited by 7
“22 Notably, JAK1/2/3 inhibitors in single or combined drug treatments are already applied for hematological malignancies.”
de Billy, E., Clarke, P. A., & Workman, P. (2013) · Cancer Cell · doi:10.1016/j.ccr.2013.07.017 · Cited by 7
“Given the widespread resistance seen with drugs targeting single oncogene addiction and synthetic lethality (Al-Lazikani et al., 2012), new therapeutics selectively targeting such essential regulators of core malignancy programs like HSF1 are urgently needed.”
BackgroundSelf-citationA Diverse Stochastic Search Algorithm for Combination Therapeutics
Caglar, M. U., & Pal, R. (2014) · BioMed Research International · doi:10.1155/2014/873436 · Cited by 7
“Thus, combination therapy is often considered where multiple proteins and pathways are targeted to reduce tumor growth and avoid resistance to therapy [3, 4].”
Background
Metadata
- Authors
- Al-Lazikani, B., Banerji, U., & Workman, P.
- Affiliations
- Royal Marsden NHS Foundation Trust (GB)
- Institute of Cancer Research (GB)
- Corresponding author
- Banerji, Udai
- Workman, Paul
- Venue
- Nature Biotechnology
- Published
- 2012-07
- Volume
- 30
- Issue
- 7
- Pages
- 679-692
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W2061061337
- Cited by
- 1,070
- References
- 172
- Citations by year
- 2026: 63 · 2025: 80 · 2024: 71 · 2023: 73 · 2022: 87 · 2021: 73 · 2020: 80 · 2019: 91 · 2018: 81 · 2017: 76 · 2016: 83 · 2015: 90 · 2014: 69 · 2013: 46 · 2012: 6
- FWCI
- 5.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research
- Cancer Research UK (C309/8992, 11566, C309/A8274)
- National Institute for Health and Care Research
- National Institutes of Health
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Keywords
- combination therapy, targeted cancer therapy, driver mutations, synthetic lethality, tumor vulnerability, precision oncology, acquired drug resistance, de novo resistance, polygenic resistance, cytotoxic chemotherapy
- MeSH terms
- Antineoplastic Combined Chemotherapy Protocols, Clinical Trials as Topic, Combined Modality Therapy, Humans, Neoplasms, Drug Design, Genome, Human, Genetic Heterogeneity, Metabolic Networks and Pathways, Precision Medicine, Molecular Targeted Therapy, High-Throughput Nucleotide Sequencing
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