The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.
Treatment-Induced Tumor Dormancy through YAP-Mediated Transcriptional Reprogramming of the Apoptotic Pathway
Open accessAbstract
Eradicating tumor dormancy that develops following epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) treatment of EGFR-mutant non-small cell lung cancer, is an attractive therapeutic strategy but the mechanisms governing this process are poorly understood. Blockade of ERK1/2 reactivation following EGFR TKI treatment by combined EGFR/MEK inhibition uncovers cells that survive by entering a senescence-like dormant state characterized by high YAP/TEAD activity. YAP/TEAD engage the epithelial-to-mesenchymal transition transcription factor SLUG to directly repress pro-apoptotic BMF, limiting drug-induced apoptosis. Pharmacological co-inhibition of YAP and TEAD, or genetic deletion of YAP1, all deplete dormant cells by enhancing EGFR/MEK inhibition-induced apoptosis. Enhancing the initial efficacy of targeted therapies could ultimately lead to prolonged treatment responses in cancer patients.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Particularly, YAP/TAZ plays a crucial role in the intrinsic and acquired resistance to inhibitors targeting RTK/MAPK pathway (24, 28–32).”
From YAP/TAZ mediates resistance to KRAS inhibitors through inhibiting proapoptosis and activating the SLC7A5/mTOR axis (2024) · cites this paper as [29]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“accumulating evidence suggests that the dysregulation of the Hippo-YAP/TAZ pathway serves as a central resistance mechanism in multiple therapies, particularly in the intrinsic and acquired resistance to RTK, RAF, or MEK inhibitors (24, 28, 29).”
From YAP/TAZ mediates resistance to KRAS inhibitors through inhibiting proapoptosis and activating the SLC7A5/mTOR axis (2024) · cites this paper as [29]
Experimental — accuracy not yet measuredIn the citing paper
“the authors observed that after treatment with the combination of EGFR and MEK inhibitors, the vast majority of barcodes were unique, suggesting that the ability of cells to enter dormancy following dual inhibition of EGFR and MEK is predominately driven by a stochastic process [56].”
From Emerging Insights into Targeted Therapy-Tolerant Persister Cells in Cancer (2021) · cites this paper as [56]
In the citing paper
“The results revealed a large fraction of shared barcodes within the cells treated with EGFR inhibitor alone, consistent with selection of pre-existing persister clones.”
From Emerging Insights into Targeted Therapy-Tolerant Persister Cells in Cancer (2021) · cites this paper as [56]
In the citing paper
“Meanwhile, other studies suggest that some persister phenotypes arise via plasticity induced by drug treatment [56,64,65].”
From Emerging Insights into Targeted Therapy-Tolerant Persister Cells in Cancer (2021) · cites this paper as [56]
In the citing paper
“Kurppa et al. observed that combined EGFR/MEK inhibition of EGFR-mutant NSCLC model cells selected a population of dormant drug-tolerant cells exhibiting senescence-like features characterized by high YAP/TEAD activity [56].”
From Emerging Insights into Targeted Therapy-Tolerant Persister Cells in Cancer (2021) · cites this paper as [56]
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
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386
The Molecular Signatures Database Hallmark Gene Set Collection
Liberzon, A., Birger, C., Thorvaldsdóttir, H., Ghandi, M., Mesirov, J. P., & Tamayo, P. (2015) · Cell Systems · doi:10.1016/j.cels.2015.12.004 · Cited by 13,807
Heinz, S., Benner, C., Spann, N., Bertolino, E., Lin, Y. C., Laslo, P., Cheng, J. X., Murre, C., Singh, H., & Glass, C. K. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.05.004 · Cited by 13,382
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Butler, A., Hoffman, P., Smibert, P., Papalexi, E., & Satija, R. (2018) · Nature Biotechnology · doi:10.1038/nbt.4096 · Cited by 13,174
Fast and accurate long-read alignment with Burrows-Wheeler transform.
Li, H., & Durbin, R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp698 · Cited by 12,063
QuPath: Open source software for digital pathology image analysis
Bankhead, P., Loughrey, M. B., Fernández, J. A., Dombrowski, Y., McArt, D. G., Dunne, P. D., McQuaid, S., Gray, R. T., Murray, L. J., Coleman, H. G., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-17204-5 · Cited by 8,908
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
deepTools2: a next generation web server for deep-sequencing data analysis
Ramírez, F., Ryan, D. P., Grüning, B., Bhardwaj, V., Kilpert, F., Richter, A. S., Heyne, S., Dündar, F., & Manke, T. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw257 · Cited by 8,096
Scenic: single-cell regulatory network inference and clustering.
Aibar, S., González-Blas, C. B., Moerman, T., Huynh-Thu, V. A., Imrichova, H., Hulselmans, G., Rambow, F., Marine, J.-C., Geurts, P., Aerts, J., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4463 · Cited by 6,520
Role of YAP/TAZ in mechanotransduction
Dupont, S., Morsut, L., Aragona, M., Enzo, E., Giulitti, S., Cordenonsi, M., Zanconato, F., Le Digabel, J., Forcato, M., Bicciato, S., et al. (2011) · Nature · doi:10.1038/nature10137 · Cited by 5,979
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
Rosell, R., Carcereny, E., Gervais, R., Vergnenegre, A., Massuti, B., Felip, E., Palmero, R., Garcia-Gomez, R., Pallares, C., Sanchez, J. M., et al. (2012) · The Lancet Oncology · doi:10.1016/s1470-2045(11)70393-x · Cited by 5,489
The senescence-associated secretory phenotype: the dark side of tumor suppression
Coppé, J.-P., Desprez, P.-Y., Krtolica, A., & Campisi, J. (2010) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-121808-102144 · Cited by 5,206
MET Amplification Leads to Gefitinib Resistance in Lung Cancer by Activating ERBB3 Signaling
Engelman, J. A., Zejnullahu, K., Mitsudomi, T., Song, Y., Hyland, C., Park, J. O., Lindeman, N., Gale, C.-M., Zhao, X., Christensen, J., et al. (2007) · Science · doi:10.1126/science.1141478 · Cited by 4,496
Self-citationCellular senescence: when bad things happen to good cells
Campisi, J., & d'Adda di Fagagna, F. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2233 · Cited by 4,441
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
Osimertinib or Platinum–Pemetrexed in EGFR T790M–Positive Lung Cancer
Mok, T. S., Wu, Y.-L., Ahn, M.-J., Garassino, M. C., Kim, H. R., Ramalingam, S. S., Shepherd, F. A., He, Y., Akamatsu, H., Theelen, W. S. M. E., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1612674 · Cited by 3,379
ATAC-seq: a method for assaying chromatin accessibility genome-wide
Buenrostro, J. D., Wu, B., Chang, H. Y., & Greenleaf, W. J. (2015) · Current Protocols in Molecular Biology · doi:10.1002/0471142727.mb2129s109 · Cited by 3,289
Efficacy of Larotrectinib in TRK Fusion–Positive Cancers in Adults and Children
Drilon, A., Laetsch, T. W., Kummar, S., DuBois, S. G., Lassen, U. N., Demetri, G. D., Nathenson, M., Doebele, R. C., Farago, A. F., Pappo, A. S., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1714448 · Cited by 2,824
A Chromatin-Mediated Reversible Drug-Tolerant State in Cancer Cell Subpopulations
Sharma, S. V., Lee, D. Y., Li, B., Quinlan, M. P., Takahashi, F., Maheswaran, S., McDermott, U., Azizian, N., Zou, L., Fischbach, M. A., et al. (2010) · Cell · doi:10.1016/j.cell.2010.02.027 · Cited by 2,770
Self-citationEMT, CSCs, and drug resistance: the mechanistic link and clinical implications
Shibue, T., & Weinberg, R. A. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2017.44 · Cited by 2,539
Alectinib versus Crizotinib in Untreated ALK -Positive Non–Small-Cell Lung Cancer
Peters, S., Camidge, D. R., Shaw, A. T., Gadgeel, S., Ahn, J. S., Kim, D.-W., Ou, S.-H. I., Pérol, M., Dziadziuszko, R., Rosell, R., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1704795 · Cited by 2,527
TEAD mediates YAP-dependent gene induction and growth control
Zhao, B., Ye, X., Yu, J., Li, L., Li, W., Li, S., Yu, J., Lin, J. D., Wang, C.-Y., Chinnaiyan, A. M., et al. (2008) · Genes & Development · doi:10.1101/gad.1664408 · Cited by 2,498
Self-citationAn improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues
Corces, M. R., Trevino, A. E., Hamilton, E. G., Greenside, P. G., Sinnott-Armstrong, N. A., Vesuna, S., Satpathy, A. T., Rubin, A. J., Montine, K. S., Wu, B., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4396 · Cited by 2,496
Tracking the Evolution of Non–Small-Cell Lung Cancer
Jamal-Hanjani, M., Wilson, G. A., McGranahan, N., Birkbak, N. J., Watkins, T. B. K., Veeriah, S., Shafi, S., Johnson, D. H., Mitter, R., Rosenthal, R., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1616288 · Cited by 2,349
Rb-mediated heterochromatin formation and silencing of E2F target genes during cellular senescence
Narita, M., Nuñez, S., Heard, E., Narita, M., Lin, A. W., Hearn, S. A., Spector, D. L., Hannon, G. J., & Lowe, S. W. (2003) · Cell · doi:10.1016/s0092-8674(03)00401-x · Cited by 2,278 · cited 1×
“Using immunofluorescence (IF) following a 10 day treatment with OT, we detected a robust increase in punctate, H3K9Me3-positive nuclear foci, another hallmark of senescence (Narita et al., 2003) (Figure 1K).”
BackgroundYAP/TAZ at the Roots of Cancer
Zanconato, F., Cordenonsi, M., & Piccolo, S. (2016) · Cancer Cell · doi:10.1016/j.ccell.2016.05.005 · Cited by 1,970
The Biology of YAP/TAZ: Hippo Signaling and Beyond
Piccolo, S., Dupont, S., & Cordenonsi, M. (2014) · Physiological Reviews · doi:10.1152/physrev.00005.2014 · Cited by 1,873
Debacq-Chainiaux, F., Erusalimsky, J. D., Campisi, J., & Toussaint, O. (2009) · Nature Protocols · doi:10.1038/nprot.2009.191 · Cited by 1,668
The Hippo transducer TAZ confers cancer stem cell-related traits on breast cancer cells
Cordenonsi, M., Zanconato, F., Azzolin, L., Forcato, M., Rosato, A., Frasson, C., Inui, M., Montagner, M., Parenti, A. R., Poletti, A., et al. (2011) · Cell · doi:10.1016/j.cell.2011.09.048 · Cited by 1,381
Activation of the AXL kinase causes resistance to EGFR-targeted therapy in lung cancer
Zhang, Z., Lee, J. C., Lin, L., Olivas, V., Au, V., LaFramboise, T., Abdel-Rahman, M., Wang, X., Levine, A. D., Rho, J. K., et al. (2012) · Nature Genetics · doi:10.1038/ng.2330 · Cited by 1,224
Kuwana, T., Bouchier-Hayes, L., Chipuk, J. E., Bonzon, C., Sullivan, B. A., Green, D. R., & Newmeyer, D. D. (2005) · Molecular Cell · doi:10.1016/j.molcel.2005.02.003 · Cited by 1,185
Richardson, C. D., Ray, G. J., DeWitt, M. A., Curie, G. L., & Corn, J. E. (2016) · Nature Biotechnology · doi:10.1038/nbt.3481 · Cited by 1,098
Blanke, C. D., Rankin, C. J., Demetri, G. D., Ryan, C. W., von Mehren, M., Benjamin, R. S., Raymond, A. K., Bramwell, V. H. C., Baker, L. H., Maki, R. G., et al. (2008) · Journal of Clinical Oncology · doi:10.1200/jco.2007.13.4452 · Cited by 1,070
Byers, L. A., Diao, L., Wang, J., Saintigny, P., Girard, L., Peyton, M., Shen, L., Fan, Y., Giri, U., Tumula, P. K., et al. (2013) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-12-1558 · Cited by 1,059
Novel mutant-selective EGFR kinase inhibitors against EGFR T790M
Zhou, W., Ercan, D., Chen, L., Yun, C.-H., Li, D., Capelletti, M., Cortot, A. B., Chirieac, L., Iacob, R. E., Padera, R., et al. (2009) · Nature · doi:10.1038/nature08622 · Cited by 1,013
Self-citationHata, A. N., Niederst, M. J., Archibald, H. L., Gomez-Caraballo, M., Siddiqui, F. M., Mulvey, H. E., Maruvka, Y. E., Ji, F., Bhang, H.-E. C., Krishnamurthy Radhakrishna, V., et al. (2016) · Nature Medicine · doi:10.1038/nm.4040 · Cited by 985
Lei, Q., Zhang, H., Zhao, B., Zha, Z., Bai, F., Pei, X., Zhao, S., Xiong, Y., & Guan, K. (2008) · Molecular and Cellular Biology · doi:10.1128/mcb.01874-07 · Cited by 956
Therapy-induced senescence in cancer.
Ewald, J. A., Desotelle, J. A., Wilding, G., & Jarrard, D. F. (2010) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djq364 · Cited by 824
β-Catenin-Driven Cancers Require a YAP1 Transcriptional Complex for Survival and Tumorigenesis
Rosenbluh, J., Nijhawan, D., Cox, A. G., Li, X., Neal, J. T., Schafer, E. J., Zack, T. I., Wang, X., Tsherniak, A., Schinzel, A. C., et al. (2012) · Cell · doi:10.1016/j.cell.2012.11.026 · Cited by 757
Self-citationKRAS and YAP1 Converge to Regulate EMT and Tumor Survival
Shao, D. D., Xue, W., Krall, E. B., Bhutkar, A., Piccioni, F., Wang, X., Schinzel, A. C., Sood, S., Rosenbluh, J., Kim, J. W., et al. (2014) · Cell · doi:10.1016/j.cell.2014.06.004 · Cited by 744
Yap1 Activation Enables Bypass of Oncogenic Kras Addiction in Pancreatic Cancer
Kapoor, A., Yao, W., Ying, H., Hua, S., Liewen, A., Wang, Q., Zhong, Y., Wu, C.-J., Sadanandam, A., Hu, B., et al. (2014) · Cell · doi:10.1016/j.cell.2014.06.003 · Cited by 716 · cited 2×
“Intriguingly, the ability of YAP to compensate for the loss of dominant oncogene in MAPK-dependent cancers has been previously shown in the context of mutant KRAS-driven NSCLC and pancreatic ductal adenocarcinoma (Kapoor et al., 2014; Shao et al., 2014).”
BackgroundSelf-citationDeveloping Irreversible Inhibitors of the Protein Kinase Cysteinome
Liu, Q., Sabnis, Y. A., Zhao, Z., Zhang, T., Buhrlage, S. J., Jones, L. H., & Gray, N. S. (2013) · Chemistry & Biology · doi:10.1016/j.chembiol.2012.12.006 · Cited by 670
Self-citationZhang, H., Liu, C., Zha, Z., Zhao, B., Yao, J., Zhao, S., Xiong, Y., Lei, Q., & Guan, K. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.m900843200 · Cited by 589
The Hippo effector YAP promotes resistance to RAF- and MEK-targeted cancer therapies
Lin, L., Sabnis, A. J., Chan, E., Olivas, V., Cade, L., Pazarentzos, E., Asthana, S., Neel, D., Yan, J. J., Lu, X., et al. (2015) · Nature Genetics · doi:10.1038/ng.3218 · Cited by 551
Zhang, Z., & Marshall, A. G. (1998) · Journal of the American Society for Mass Spectrometry · doi:10.1016/s1044-0305(97)00284-5 · Cited by 511
Costa, D. B., Halmos, B., Kumar, A., Schumer, S., Huberman, M. S., Boggon, T. J., Tenen, D. G., & Kobayashi, S. S. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040315 · Cited by 511
Studying clonal dynamics in response to cancer therapy using high-complexity barcoding
Bhang, H.-E. C., Ruddy, D. A., Krishnamurthy Radhakrishna, V., Caushi, J. X., Zhao, R., Hims, M. M., Singh, A. P., Kao, I., Rakiec, D., Shaw, P., et al. (2015) · Nature Medicine · doi:10.1038/nm.3841 · Cited by 507
Comprehensive Molecular Characterization of the Hippo Signaling Pathway in Cancer
Wang, Y., Xu, X., Maglic, D., Dill, M. T., Mojumdar, K., Ng, P. K.-S., Jeong, K. J., Tsang, Y. H., Moreno, D., Bhavana, V. H., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.10.001 · Cited by 500 · cited 1×
“The YAP signature was curated from gene sets obtained from multiple studies (Cordenonsi et al., 2011; Dupont et al., 2011; Wang et al., 2018; Zhang et al., 2009, 2008a).”
MethodSelf-citationBhattacharyya, S., Rainey, M. A., Arya, P., Mohapatra, B. C., Mushtaq, I., Dutta, S., George, M., Storck, M. D., McComb, R. D., Muirhead, D. E., et al. (2017) · Scientific Reports · doi:10.1038/srep42320 · Cited by 459
Weakly supervised learning of biomedical information extraction from curated data
Jain, S., Kashyap, R., Kuo, T.-T., Bhargava, S., Lin, G., & Hsu, C. (2016) · BMC Bioinformatics · doi:10.1186/s12859-015-0844-1 · Cited by 454
Zaidi, S. K., Sullivan, A. J., Medina, R., Ito, Y., van Wijnen, A. J., Stein, J. L., Lian, J. B., & Stein, G. S. (2004) · The EMBO Journal · doi:10.1038/sj.emboj.7600073 · Cited by 411
Critical pathways in cellular senescence and immortalization revealed by gene expression profiling
Fridman, A. L., & Tainsky, M. A. (2008) · Oncogene · doi:10.1038/onc.2008.213 · Cited by 385
Cragg, M. S., Kuroda, J., Puthalakath, H., Huang, D. C. S., & Strasser, A. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040316 · Cited by 346
Gong, Y., Somwar, R., Politi, K. A., Balak, M. N., Chmielecki, J., Jiang, X., & Pao, W. J. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040294 · Cited by 330
Mitochondria—Judges and Executioners of Cell Death Sentences
Bhola, P. D., & Letai, A. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.02.019 · Cited by 326
Regulatory phosphorylation of Bim: sorting out the ERK from the JNK
Ley, R., Ewings, K. E., Hadfield, K., & Cook, S. J. (2005) · Cell Death and Differentiation · doi:10.1038/sj.cdd.4401688 · Cited by 324
ZEB1 turns into a transcriptional activator by interacting with YAP1 in aggressive cancer types
Lehmann, W., Mossmann, D., Kleemann, J., Mock, K., Meisinger, C., Brummer, T., Herr, R., Brabletz, S., Stemmler, M. P., & Brabletz, T. (2016) · Nature Communications · doi:10.1038/ncomms10498 · Cited by 320
Covalent inhibitors design and discovery.
De Cesco, S., Kurian, J., Dufresne, C., Mittermaier, A. K., & Moitessier, N. (2017) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2017.06.019 · Cited by 315
Autopalmitoylation of TEAD proteins regulates transcriptional output of the Hippo pathway
Chan, P., Han, X., Zheng, B., DeRan, M., Yu, J., Jarugumilli, G. K., Deng, H., Pan, D., Luo, X., & Wu, X. (2016) · Nature Chemical Biology · doi:10.1038/nchembio.2036 · Cited by 313
Beyer, T. A., Weiss, A., Khomchuk, Y., Huang, K., Ogunjimi, A. A., Varelas, X., & Wrana, J. L. (2013) · Cell Reports · doi:10.1016/j.celrep.2013.11.021 · Cited by 304
Coppé, J.-P., Patil, C. K., Rodier, F., Sun, Y., Muñoz, D. P., Goldstein, J., Nelson, P. S., Desprez, P.-Y., & Campisi, J. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060301 · Cited by 302 · cited 1×
“The expression of several classical SASP factors (Coppé et al., 2008) in the cytokine, chemokine, IGFBP and MMP families was also upregulated in the dormant cells (Figure S3C), analogous to SASP.”
ResultA genetic screen identifies an LKB1–MARK signalling axis controlling the Hippo–YAP pathway
Mohseni, M., Sun, J., Lau, A., Curtis, S., Goldsmith, J., Fox, V. L., Wei, C., Frazier, M., Samson, O., Wong, K.-K., et al. (2014) · Nature Cell Biology · doi:10.1038/ncb2884 · Cited by 294
Self-citationReactivation of ERK signaling causes resistance to EGFR kinase inhibitors.
Ercan, D., Xu, C., Yanagita, M., Monast, C. S., Pratilas, C. A., Montero, J., Butaney, M., Shimamura, T., Sholl, L., Ivanova, E. V., et al. (2012) · Cancer Discovery · doi:10.1158/2159-8290.cd-12-0103 · Cited by 294
Self-citationTranscriptional Co-repressor Function of the Hippo Pathway Transducers YAP and TAZ
Kim, M., Kim, T., Johnson, R. L., & Lim, D. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.03.015 · Cited by 293
Guler, G. D., Tindell, C. A., Pitti, R., Wilson, C., Nichols, K., KaiWai Cheung, T., Kim, H.-J., Wongchenko, M., Yan, Y., Haley, B., et al. (2017) · Cancer Cell · doi:10.1016/j.ccell.2017.07.002 · Cited by 277
Noland, C. L., Gierke, S., Schnier, P. D., Murray, J. M., Sandoval, W. N., Sagolla, M. S., Dey, A., Hannoush, R. N., Fairbrother, W. J., & Cunningham, C. N. (2015) · Structure · doi:10.1016/j.str.2015.11.005 · Cited by 272
Evaluation and comparison of bioinformatic tools for the enrichment analysis of metabolomics data
Marco‐Ramell, A., Palau‐Rodriguez, M., Alay, A., Tulipani, S., Urpí-Sardà, M., Sánchez‐Pla, Á., & Andrés‐Lacueva, C. (2018) · BMC Bioinformatics · doi:10.1186/s12859-017-2006-0 · Cited by 261
Zhang, J., Smolen, G. A., & Haber, D. A. (2008) · Cancer Research · doi:10.1158/0008-5472.can-07-6205 · Cited by 250
Starcode: sequence clustering based on all-pairs search
Zorita, E. V., Cuscó, P., & Filion, G. J. P. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv053 · Cited by 241
Combined EGFR/MEK Inhibition Prevents the Emergence of Resistance in EGFR -Mutant Lung Cancer
Tricker, E. M., Xu, C., Uddin, S., Capelletti, M., Ercan, D., Ogino, A., Pratilas, C. A., Rosen, N. X., Gray, N. S., Wong, K., et al. (2015) · Cancer Discovery · doi:10.1158/2159-8290.cd-15-0063 · Cited by 220
Self-citationPobbati, A. V., Han, X. Y., Hung, A. W., Seetoh, W.-G., Huda, N., Chen, G.-Y., Kang, C., Chia, C. S. B., Luo, X., Hong, W., et al. (2015) · Structure · doi:10.1016/j.str.2015.09.009 · Cited by 219
Co-activation of STAT3 and YES-Associated Protein 1 (YAP1) Pathway in EGFR-Mutant NSCLC
CHAIB-OUKADOUR, I., Karachaliou, N., Pilotto, S., Servat, J. C., Cai, X., Li, X., Drozdowskyj, A., Codony, C., Yang, J. E., Hu, C., et al. (2017) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djx014 · Cited by 210
Tankyrase Inhibitors Target YAP by Stabilizing Angiomotin Family Proteins
Wang, W., Li, N., Li, X., Tran, M. K., Han, X., & Chen, J. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.09.014 · Cited by 209
Tang, Y., Feinberg, T. Y., Keller, E. T., Li, X.-Y., & Weiss, S. J. (2016) · Nature Cell Biology · doi:10.1038/ncb3394 · Cited by 208
Bum‐Erdene, K., Zhou, D., González-Gutiérrez, G., Ghozayel, M. K., Si, Y., Xu, D. D., Shannon, H. E., Bailey, B. J., Corson, T. W., Pollok, K. E., et al. (2018) · Cell chemical biology · doi:10.1016/j.chembiol.2018.11.010 · Cited by 208
Cornwell, M., Vangala, M., Taing, L., Herbert, Z. T., Köster, J., Li, B., Sun, H., Li, T., Zhang, J., Qiu, X., et al. (2018) · BMC Bioinformatics · doi:10.1186/s12859-018-2139-9 · Cited by 207
Self-citationAcquired MET D1228V Mutation and Resistance to MET Inhibition in Lung Cancer
Bahcall, M., Sim, T., Paweletz, C. P., Patel, J. D., Alden, R. S., Kuang, Y., Sacher, A. G., Kim, N. D., Lydon, C., Awad, M. M., et al. (2016) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-0686 · Cited by 183
Self-citationMolecular mechanisms of resistance in epidermal growth factor receptor-mutant lung adenocarcinomas
Cortot, A. B., & Jänne, P. A. (2014) · European Respiratory Review · doi:10.1183/09059180.00004614 · Cited by 158
Niehues, S., Bussmann, J., Steffes, G., Erdmann, I., Köhrer, C., Sun, L., Wagner, M., Schäfer, K. J., Wang, G., Koerdt, S. N., et al. (2016) · Nature Communications · doi:10.1038/ncomms10497 · Cited by 146
YAP promotes erlotinib resistance in human non-small cell lung cancer cells
Hsu, P., You, B., Yang, Y., Zhang, W., Wang, Y., Xu, Z., Dai, Y., Liu, S., Yang, C., Li, H., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.10458 · Cited by 121
ChiLin: a comprehensive ChIP-seq and DNase-seq quality control and analysis pipeline
Qin, Q., Mei, S., Wu, Q., Sun, H., Li, L., Taing, L., Chen, S., Li, F., Liu, T., Zang, C., et al. (2016) · BMC Bioinformatics · doi:10.1186/s12859-016-1274-4 · Cited by 121
Self-citationManagement of colon cancer: resource-stratified guidelines from the Asian Oncology Summit 2012
Ku, G. Y., Tan, I. B., Yau, T. C. C., Boku, N., Laohavinij, S., Cheng, A., Kang, Y., & Lopes, G. D. L., Jr. (2012) · The Lancet Oncology · doi:10.1016/s1470-2045(12)70424-2 · Cited by 76
YAP1 oncogene and its eight isoforms
Sudol, M. (2012) · Oncogene · doi:10.1038/onc.2012.520 · Cited by 49
Alexander, W. M., Ficarro, S. B., Adelmant, G., & Marto, J. A. (2017) · PROTEOMICS · doi:10.1002/pmic.201700091 · Cited by 45
Self-citationFicarro, S. B., Browne, C. M., Card, J. D., Alexander, W. M., Zhang, T., Park, E., McNally, R., Dhe‐Paganon, S., Seo, H., Lamberto, I., et al. (2016) · Analytical Chemistry · doi:10.1021/acs.analchem.6b03394 · Cited by 36
Self-citationThress, K. S., Jacobs, V. N., Angell, H. K., Yang, J. C., Sequist, L. V. D., Blackhall, F. H., Su, W., Schüler, M., Wolf, J., Gold, K. A., et al. (2017) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2017.07.011 · Cited by 25
mzStudio: A Dynamic Digital Canvas for User-Driven Interrogation of Mass Spectrometry Data
Ficarro, S. B., Alexander, W., & Marto, J. A. (2017) · Proteomes · doi:10.3390/proteomes5030020 · Cited by 25
Self-citationCloneSifter: enrichment of rare clones from heterogeneous cell populations
Feldman, D., Tsai, F., Garrity, A. J., O’Rourke, R., Brenan, L., Ho, P., Gonzalez, E. M., Konermann, S., Johannessen, C. M., Beroukhim, R., et al. (2020) · BMC Biology · doi:10.1186/s12915-020-00911-3 · Cited by 22
Self-citationRamalingam, S. S., Saka, H., Ahn, M., Yu, H. A., Yu, H. A., Horn, L., Hida, T., Cantarini, M., Verheijen, R. B., Wessen, J., et al. (2019) · Cancer Research · doi:10.1158/1538-7445.am2019-ct034 · Cited by 7
CloneRetriever: retrieval of rare clones from heterogeneous cell populationsPreprint
Feldman, D., Tsai, F., Garrity, A. J., O’Rourke, R., Brenan, L., Ho, P., Gonzalez, E. M., Konermann, S., Johannessen, C. M., Beroukhim, R., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/762708 · Cited by 2
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Targeting the Hippo pathway in cancer, fibrosis, wound healing and regenerative medicine
Dey, A., Varelas, X., & Guan, K.-L. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0070-z · Cited by 860
Regulated cell death (RCD) in cancer: key pathways and targeted therapies
Peng, F., Liao, M., Qin, R., Zhu, S., Peng, C. Y., Fu, L., Chen, Y., & Han, B. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01110-y · Cited by 895
Rational combinations of targeted cancer therapies: background, advances and challenges
Jin, H., Wang, L., & Bernards, R. (2023) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00615-z · Cited by 503
Persistent Cancer Cells: The Deadly Survivors
Shen, S., Vagner, S., & Robert, C. (2020) · Cell · doi:10.1016/j.cell.2020.10.027 · Cited by 320
Lung cancer in patients who have never smoked — an emerging disease
LoPiccolo, J., Gusev, A., Christiani, D. C., & Janne, P. A. (2024) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-023-00844-0 · Cited by 320
Metadata
- Authors
- Kurppa, K. J., Liu, Y., To, C., Zhang, T., Fan, M., Vajdi, A., Knelson, E. H., Xie, Y., Lim, K., Cejas, P., Portell, A., Lizotte, P. H., Ficarro, S. B., Li, S., Chen, T., Haikala, H. M., Wang, H., Bahcall, M., Gao, Y., Shalhout, S., Boettcher, S., Shin, B. H., Thai, T., Wilkens, M. K., Tillgren, M. L., Mushajiang, M., Xu, M., Choi, J., Bertram, A. A., Ebert, B. L., Beroukhim, R., Bandopadhayay, P., Awad, M. M., Gokhale, P. C., Kirschmeier, P. T., Marto, J. A., Camargo, F. D., Haq, R., Paweletz, C. P., Wong, K.-K., Barbie, D. A., Long, H. W., Gray, N. S., & Jänne, P. A.
- Affiliations
- Harvard University (US)
- Dana-Farber Cancer Institute (US)
- Brigham and Women's Hospital (US)
- NYU Langone Health (US)
- Tongji University (CN)
- Boston Children's Hospital (US)
- Broad Institute (US)
- ORCID
- Kurppa, Kari J.
- Liu, Yao
- To, Ciric
- Zhang, Tinghu
- Fan, Mengyang
- Vajdi, Amir
- Knelson, Erik H.
- Xie, Yingtian
- Lim, Klothilda
- Cejas, Paloma
- Portell, Andrew
- Lizotte, Patrick H.
- Ficarro, Scott B.
- Li, Shuai
- Chen, Ting
- Haikala, Heidi M.
- Wang, Haiyun
- Bahcall, Magda
- Gao, Yang
- Shalhout, Sophia
- Boettcher, Steffen
- Shin, Bo Hee
- Thai, Tran
- Wilkens, Margaret K.
- Xu, Man
- Choi, Jihyun
- Bertram, Arrien A.
- Ebert, Benjamin L.
- Beroukhim, Rameen
- Bandopadhayay, Pratiti
- Awad, Mark M.
- Gokhale, Prafulla C.
- Marto, Jarrod A.
- Camargo, Fernando D.
- Haq, Rizwan
- Paweletz, Cloud P.
- Wong, Kwok-Kin
- Barbie, David A.
- Long, Henry W.
- Gray, Nathanael S.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 37
- Issue
- 1
- Pages
- 104-122.e12
- ISSN
- 1535-6108 (ISSN-L)
- PMC
- PMC7146079
- OpenAlex
- W3000285141
- Cited by
- 475
- References
- 92
- Citations by year
- 2026: 50 · 2025: 94 · 2024: 82 · 2023: 81 · 2022: 71 · 2021: 65 · 2020: 30
- FWCI
- 30.92
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cancer Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- UTUPub (University of Turku) (submittedVersion)
- Funders
- National Cancer Institute (NIH 5 P30 CA06516, R01CA135257, R35CA220497)
- Novartis Institutes for BioMedical Research
- Bristol-Myers Squibb
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Eli Lilly and Company
- Daiichi Sankyo Company
- Astellas Pharma US
- Dana-Farber/Harvard Cancer Center
- American Cancer Society (CRP-17-111-01-CDD)
- Takeda Oncology
- Massachusetts Institute of Technology
- Instrumentariumin Tiedesäätiö
- Takeda Pharmaceuticals U.S.A.
- National Science Foundation (P300PB_161026/1, P400PM_183862)
- Dana-Farber Cancer Institute
- National Institutes of Health (CA233800, R01 CA222218)
- Jane ja Aatos Erkon Säätiö
- Novartis
- Krebsliga Schweiz (KLS-3625-02 2015)
- Sanofi
- Orionin Tutkimussäätiö
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Hippo pathway signaling and YAP/TAZ
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Melanoma and MAPK Pathways
- Keywords
- tumor dormancy, EGFR tyrosine kinase inhibitors, EGFR-mutant non-small cell lung cancer, MEK inhibition, Slug, BMF, apoptosis, transcriptional reprogramming, drug resistance
- MeSH terms
- YAP-Signaling Proteins, Animals, Cell Survival, Female, Humans, Lung Neoplasms, Male, Mutation, Transcription Factors, Transcription, Genetic, Signal Transduction, Gene Expression Regulation, Neoplastic, Cellular Senescence, Apoptosis, Gene Deletion, Mice, Knockout, Cell Cycle Proteins, Drug Resistance, Neoplasm, Cell Line, Tumor, MAP Kinase Kinase 1, Adaptor Proteins, Signal Transducing, Cell Proliferation, Mice, ErbB Receptors
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