1
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Habowski AN, Budagavi DP, Scherer SD, Aurora AB, Caligiuri G, Flynn WF, Langer EM, Brody JR, Sears RC, Foggetti G, Arnal Estape A, Nguyen DX, Politi KA, Shen X, Hsu DS, Peehl DM, Kurhanewicz J, Sriram R, Suarez M, Xiao S, Du Y, Li XN, Navone NM, Labanca E, Willey CD. Patient-Derived Models of Cancer in the NCI PDMC Consortium: Selection, Pitfalls, and Practical Recommendations. Cancers (Basel) 2024; 16:565. [PMID: 38339316 PMCID: PMC10854945 DOI: 10.3390/cancers16030565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 01/16/2024] [Accepted: 01/20/2024] [Indexed: 02/12/2024] Open
Abstract
For over a century, early researchers sought to study biological organisms in a laboratory setting, leading to the generation of both in vitro and in vivo model systems. Patient-derived models of cancer (PDMCs) have more recently come to the forefront of preclinical cancer models and are even finding their way into clinical practice as part of functional precision medicine programs. The PDMC Consortium, supported by the Division of Cancer Biology in the National Cancer Institute of the National Institutes of Health, seeks to understand the biological principles that govern the various PDMC behaviors, particularly in response to perturbagens, such as cancer therapeutics. Based on collective experience from the consortium groups, we provide insight regarding PDMCs established both in vitro and in vivo, with a focus on practical matters related to developing and maintaining key cancer models through a series of vignettes. Although every model has the potential to offer valuable insights, the choice of the right model should be guided by the research question. However, recognizing the inherent constraints in each model is crucial. Our objective here is to delineate the strengths and limitations of each model as established by individual vignettes. Further advances in PDMCs and the development of novel model systems will enable us to better understand human biology and improve the study of human pathology in the lab.
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Affiliation(s)
- Amber N. Habowski
- Cold Spring Harbor Laboratory, Long Island, NY 11724, USA; (A.N.H.); (D.P.B.); (G.C.)
| | - Deepthi P. Budagavi
- Cold Spring Harbor Laboratory, Long Island, NY 11724, USA; (A.N.H.); (D.P.B.); (G.C.)
| | - Sandra D. Scherer
- Department of Oncologic Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA;
| | - Arin B. Aurora
- Children’s Research Institute and Department of Pediatrics, University of Texas Southwestern, Dallas, TX 75235, USA;
| | - Giuseppina Caligiuri
- Cold Spring Harbor Laboratory, Long Island, NY 11724, USA; (A.N.H.); (D.P.B.); (G.C.)
| | | | - Ellen M. Langer
- Division of Oncological Sciences, Oregon Health & Science University, Portland, OR 97239, USA;
| | - Jonathan R. Brody
- Department of Surgery, Oregon Health & Science University, Portland, OR 97239, USA;
| | - Rosalie C. Sears
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR 97239, USA;
| | | | - Anna Arnal Estape
- Department of Internal Medicine, Yale University, New Haven, CT 06520, USA;
| | - Don X. Nguyen
- Department of Pathology, Yale University, New Haven, CT 06520, USA; (D.X.N.); (K.A.P.)
| | - Katerina A. Politi
- Department of Pathology, Yale University, New Haven, CT 06520, USA; (D.X.N.); (K.A.P.)
| | - Xiling Shen
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA;
| | - David S. Hsu
- Department of Medicine, Duke University, Durham, NC 27710, USA;
| | - Donna M. Peehl
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94158, USA; (D.M.P.); (J.K.); (R.S.)
| | - John Kurhanewicz
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94158, USA; (D.M.P.); (J.K.); (R.S.)
| | - Renuka Sriram
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94158, USA; (D.M.P.); (J.K.); (R.S.)
| | - Milagros Suarez
- Department of Pediatrics, Lurie Children’s Hospital of Chicago Northwestern University, Chicago, IL 60611, USA; (M.S.); (S.X.); (Y.D.); (X.-N.L.)
| | - Sophie Xiao
- Department of Pediatrics, Lurie Children’s Hospital of Chicago Northwestern University, Chicago, IL 60611, USA; (M.S.); (S.X.); (Y.D.); (X.-N.L.)
| | - Yuchen Du
- Department of Pediatrics, Lurie Children’s Hospital of Chicago Northwestern University, Chicago, IL 60611, USA; (M.S.); (S.X.); (Y.D.); (X.-N.L.)
| | - Xiao-Nan Li
- Department of Pediatrics, Lurie Children’s Hospital of Chicago Northwestern University, Chicago, IL 60611, USA; (M.S.); (S.X.); (Y.D.); (X.-N.L.)
| | - Nora M. Navone
- Department of Genitourinary Medical Oncology, David H. Koch Center for Applied Research of Genitourinary Cancers, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (N.M.N.)
| | - Estefania Labanca
- Department of Genitourinary Medical Oncology, David H. Koch Center for Applied Research of Genitourinary Cancers, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (N.M.N.)
| | - Christopher D. Willey
- Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL 35233, USA
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2
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de Miguel FJ, Gentile C, Feng WW, Silva SJ, Sankar A, Exposito F, Cai WL, Melnick MA, Robles-Oteiza C, Hinkley MM, Tsai JA, Hartley AV, Wei J, Wurtz A, Li F, Toki MI, Rimm DL, Homer R, Wilen CB, Xiao AZ, Qi J, Yan Q, Nguyen DX, Jänne PA, Kadoch C, Politi KA. Mammalian SWI/SNF chromatin remodeling complexes promote tyrosine kinase inhibitor resistance in EGFR-mutant lung cancer. Cancer Cell 2023; 41:1516-1534.e9. [PMID: 37541244 PMCID: PMC10957226 DOI: 10.1016/j.ccell.2023.07.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 05/10/2023] [Accepted: 07/11/2023] [Indexed: 08/06/2023]
Abstract
Acquired resistance to tyrosine kinase inhibitors (TKI), such as osimertinib used to treat EGFR-mutant lung adenocarcinomas, limits long-term efficacy and is frequently caused by non-genetic mechanisms. Here, we define the chromatin accessibility and gene regulatory signatures of osimertinib sensitive and resistant EGFR-mutant cell and patient-derived models and uncover a role for mammalian SWI/SNF chromatin remodeling complexes in TKI resistance. By profiling mSWI/SNF genome-wide localization, we identify both shared and cancer cell line-specific gene targets underlying the resistant state. Importantly, genetic and pharmacologic disruption of the SMARCA4/SMARCA2 mSWI/SNF ATPases re-sensitizes a subset of resistant models to osimertinib via inhibition of mSWI/SNF-mediated regulation of cellular programs governing cell proliferation, epithelial-to-mesenchymal transition, epithelial cell differentiation, and NRF2 signaling. These data highlight the role of mSWI/SNF complexes in supporting TKI resistance and suggest potential utility of mSWI/SNF inhibitors in TKI-resistant lung cancers.
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Affiliation(s)
| | - Claudia Gentile
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - William W Feng
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Shannon J Silva
- Department of Pathology, Yale School of Medicine, Yale University, New Haven, CT 06510, USA
| | - Akshay Sankar
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Wesley L Cai
- Department of Pathology, Yale School of Medicine, Yale University, New Haven, CT 06510, USA
| | | | - Camila Robles-Oteiza
- Department of Immunobiology, Yale School of Medicine, Yale University, New Haven, CT 06510, USA
| | - Madeline M Hinkley
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jeanelle A Tsai
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Antja-Voy Hartley
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Jin Wei
- Department of Immunobiology, Yale School of Medicine, Yale University, New Haven, CT 06510, USA; Department of Laboratory Medicine, Yale School of Medicine, Yale University, New Haven, CT 06510, USA
| | - Anna Wurtz
- Yale Cancer Center, New Haven, CT 06520, USA
| | - Fangyong Li
- Yale Center for Analytical Sciences, Yale School of Public Health, Laboratory of Epidemiology and Public Health, 60 College St, New Haven, CT 06510, USA
| | - Maria I Toki
- Yale Cancer Center, New Haven, CT 06520, USA; Department of Pathology, Yale School of Medicine, Yale University, New Haven, CT 06510, USA
| | - David L Rimm
- Yale Cancer Center, New Haven, CT 06520, USA; Department of Pathology, Yale School of Medicine, Yale University, New Haven, CT 06510, USA; Department of Medicine (Section of Medical Oncology), Yale School of Medicine, Yale University, New Haven, CT 06510, USA
| | - Robert Homer
- Yale Cancer Center, New Haven, CT 06520, USA; Department of Pathology, Yale School of Medicine, Yale University, New Haven, CT 06510, USA
| | - Craig B Wilen
- Department of Immunobiology, Yale School of Medicine, Yale University, New Haven, CT 06510, USA; Department of Laboratory Medicine, Yale School of Medicine, Yale University, New Haven, CT 06510, USA
| | - Andrew Z Xiao
- Department of Genetics, Yale School of Medicine, Yale University, New Haven, CT 06510, USA; Yale Stem Cell Center, Yale School of Medicine, Yale University, New Haven, CT 06510, USA
| | - Jun Qi
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Qin Yan
- Yale Cancer Center, New Haven, CT 06520, USA; Department of Pathology, Yale School of Medicine, Yale University, New Haven, CT 06510, USA; Yale Stem Cell Center, Yale School of Medicine, Yale University, New Haven, CT 06510, USA
| | - Don X Nguyen
- Yale Cancer Center, New Haven, CT 06520, USA; Department of Pathology, Yale School of Medicine, Yale University, New Haven, CT 06510, USA; Department of Medicine (Section of Medical Oncology), Yale School of Medicine, Yale University, New Haven, CT 06510, USA; Yale Stem Cell Center, Yale School of Medicine, Yale University, New Haven, CT 06510, USA
| | - Pasi A Jänne
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Cigall Kadoch
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA.
| | - Katerina A Politi
- Yale Cancer Center, New Haven, CT 06520, USA; Department of Pathology, Yale School of Medicine, Yale University, New Haven, CT 06510, USA; Department of Medicine (Section of Medical Oncology), Yale School of Medicine, Yale University, New Haven, CT 06510, USA; Yale Stem Cell Center, Yale School of Medicine, Yale University, New Haven, CT 06510, USA.
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3
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Bose S, Barroso M, Chheda MG, Clevers H, Elez E, Kaochar S, Kopetz SE, Li XN, Meric-Bernstam F, Meyer CA, Mou H, Naegle KM, Pera MF, Perova Z, Politi KA, Raphael BJ, Robson P, Sears RC, Tabernero J, Tuveson DA, Welm AL, Welm BE, Willey CD, Salnikow K, Chuang JH, Shen X. A path to translation: How 3D patient tumor avatars enable next generation precision oncology. Cancer Cell 2022; 40:1448-1453. [PMID: 36270276 PMCID: PMC10576652 DOI: 10.1016/j.ccell.2022.09.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
3D patient tumor avatars (3D-PTAs) hold promise for next-generation precision medicine. Here, we describe the benefits and challenges of 3D-PTA technologies and necessary future steps to realize their potential for clinical decision making. 3D-PTAs require standardization criteria and prospective trials to establish clinical benefits. Innovative trial designs that combine omics and 3D-PTA readouts may lead to more accurate clinical predictors, and an integrated platform that combines diagnostic and therapeutic development will accelerate new treatments for patients with refractory disease.
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Affiliation(s)
- Shree Bose
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC 27708, USA
| | - Margarida Barroso
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208, USA
| | - Milan G Chheda
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, 63110 USA
| | - Hans Clevers
- Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center, Uppsalalaan 8, Utrecht, 3584 CT, Netherlands; Research and Early Development (pRED) of F. Hoffmann-La Roche Ltd, Roche Pharma, Basel, Switzerland
| | - Elena Elez
- Vall d'Hebron Hospital Campus and Institute of Oncology, International Oncology Bureau-Quiron, University of Vic-Central University of Catalonia, Barcelona, 08035 Spain
| | - Salma Kaochar
- Department of Medicine, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Scott E Kopetz
- The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Xiao-Nan Li
- Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL 60611, USA
| | - Funda Meric-Bernstam
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Clifford A Meyer
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA; Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC 27708, USA
| | - Haiwei Mou
- The Wistar Institute, Philadelphia, PA 19104, USA
| | - Kristen M Naegle
- Department of Biomedical Engineering and the Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22903, USA
| | | | - Zinaida Perova
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Katerina A Politi
- Departments of Pathology and Internal Medicine (Medical Oncology), Yale School of Medicine and Yale Cancer Center, New Haven, CT 06510, USA
| | - Benjamin J Raphael
- Department of Computer Science, Princeton University, Princeton, NJ 08540, USA
| | - Paul Robson
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Department of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT 06032, USA; Institute for Systems Genomics, University of Connecticut, Farmington, CT 06032, USA
| | - Rosalie C Sears
- Department of Medical and Molecular Genetics, Oregon Health & Science University, Portland, OR 97201, USA
| | - Josep Tabernero
- Vall d'Hebron Hospital Campus and Institute of Oncology, International Oncology Bureau-Quiron, University of Vic-Central University of Catalonia, Barcelona, 08035 Spain
| | - David A Tuveson
- Lustgarten Foundation Pancreatic Cancer Research Laboratory at Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Alana L Welm
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Bryan E Welm
- Department of Surgery, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Christopher D Willey
- Department of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Konstantin Salnikow
- Division of Cancer Biology, National Cancer Institute, NIH, Rockville, MD 20850, USA.
| | - Jeffrey H Chuang
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Department of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT 06032, USA; Institute for Systems Genomics, University of Connecticut, Farmington, CT 06032, USA.
| | - Xiling Shen
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA.
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de Miguel FJ, Cai WL, Melnick MA, Robles-Oteiza C, Wurtz A, Toki MI, Rimm DL, Homer R, Nguyen DX, Politi KA. Abstract 1094: SMARCA4-mediated chromatin remodeling regulates osimertinib resistance in EGFR-mutant lung adenocarcinoma. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-1094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Targeted therapies have transformed the clinical management of many types of tumors, including EGFR-mutant lung adenocarcinomas. Although these treatments are highly beneficial for patient survival, acquired resistance almost inevitably occurs limiting cures with these agents. The tyrosine-kinase inhibitor (TKI) osimertinib is approved for the first-line treatment of EGFR-mutant lung tumors and leads to increased progression-free and overall survival compared to earlier generations of TKIs. However, acquired resistance to osimertinib frequently occurs and is mostly due to off-target mechanisms, many of which are not well-understood. Therefore, it is critical to understand the molecular processes behind these mechanisms of resistance.
We generated osimertinib resistant cell lines and patient-derived models to identify and study novel mechanisms of osimertinib resistance. We found that, in some osimertinib resistant tumors, SMARCA4 is stabilized upon osimertinib treatment and knock-down of SMARCA4 re-sensitizes the resistant cells to osimertinib and globally alters their chromatin profile. ATAC-Seq and RNA-Seq studies revealed that SMARCA4 alters chromatin accessibility in resistant tumors to maintain the transcriptional activity of genes involved in cell proliferation. Furthermore, SMARCA4 enables access to NRF2 binding sites enhancing an antioxidant response necessary for cells to tolerate the increase in reactive oxygen species and oxidative stress created by osimertinib. These processes converge and lead to an increase in the amount of DNA damage that is repaired by ATR. Indeed, we found that these osimertinib resistant tumors are vulnerable to ATR inhibition.
In summary, we have identified a new epigenetic mechanism of resistance to osimertinib driven by SMARCA4 that generates a vulnerability to ATR inhibition, offering new approaches to target TKI-resistant tumors.
Citation Format: Fernando J. de Miguel, Wesley L. Cai, Mary Ann Melnick, Camila Robles-Oteiza, Anna Wurtz, Maria I. Toki, David L. Rimm, Robert Homer, Don X. Nguyen, Katerina A. Politi. SMARCA4-mediated chromatin remodeling regulates osimertinib resistance in EGFR-mutant lung adenocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1094.
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Grant MJ, Aredo JV, Starrett J, Wurtz A, Piotrowska Z, Piper-Vallillo A, Yu HA, Falcon C, Patil T, Nguyen C, Aggarwal C, Scholes DG, Li F, Phadke M, Neal JW, Walther Z, Politi KA, Goldberg SB. Efficacy of osimertinib in patients with EGFR mutant lung cancer harboring the uncommon exon 19 deletion, L747_A750>P. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.e21112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e21112 Background: EGFR exon 19 deletions (del19) are largely considered to have uniform sensitivity to EGFR tyrosine kinase inhibitors (TKIs). Approximately 70% of del19 tumors harbor the most common deletion, E756_A750del; however, many “uncommon” variants comprise the remainder of this group. In preclinical studies, the uncommon del19, L747_A750 > P, demonstrates diminished sensitivity to the third generation TKI, osimertinib [. Identifying differences in clinical outcomes with osimertinib treatment could have therapeutic implications for patients (pts) with EGFR del19 non-small cell lung cancer (NSCLC). Methods: We conducted a multi-center retrospective cohort study of pts with metastatic EGFR del19 NSCLC treated with osimertinib. We compared progression free survival (PFS, time from TKI initiation to clinically significant growth of existing lesions or new lesions on imaging or death) and overall survival (OS) of pts with tumors harboring E746_A750del and L747_A750 > P who received osimertinib in the first line (1L) or in second or later lines of therapy and were T790M+ (≥2L). The Kaplan Meier method and Cox model were used to estimate PFS and OS, and multivariable logistic regression was used to estimate the odds of achieving PFS > 12 months. Multivariable analyses adjusted for baseline covariates- age, sex, race, and smoking. Results: From March 2013 to December 2021, 86 pts with EGFR E746_A750del and 36 with L747_A750 > P were treated with osimertinib. For 1L osimertinib, E746_A750del was associated with significantly prolonged PFS vs. L747_A750 > P (median 21.3 months (95% CI 17.0-31.7) vs. 11.7 months (10.8-29.4)) in the adjusted analysis (hazard ratio [HR] 0.52 [95% CI, 0.28-0.98, p = 0.043]). Pts with the common del19 mutation were more likely to achieve PFS > 12 months with 1L osimertinib than those with the L747_A750 > P mutation (Odds Ratio 4.14 (1.41-12.15), p 0.0097). OS exhibited a similar trend with a median OS that that was not reached (NR) at 40 months of follow-up among those with E746_A750del vs 26 months for L747_A750 > P (adjusted HR 0.52 [95% CI, 0.23-1.19], p = 0.120). For pts treated with ≥2L osimertinib, there was also a trend towards favorable PFS and OS for pts with tumors harboring E746_A750del. Conclusions: The del19 mutation L747_A750 > P is associated with inferior PFS compared to the common E746_A750del mutation in pts treated with 1L osimertinib. Understanding differences in osimertinib efficacy among EGFR del19 subtypes could alter management of these pts in the future.[Table: see text]
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Affiliation(s)
| | | | | | | | | | | | | | | | - Tejas Patil
- University of Colorado Cancer Center, Aurora, CO
| | | | | | | | - Fangyong Li
- Yale Center for Analytical Sciences, New Haven, CT
| | - Manali Phadke
- Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, CT
| | - Joel W. Neal
- Stanford University, Stanford Cancer Institute, Palo Alto, CA
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Mack PC, Redman MW, Moon J, Goldberg SB, Herbst RS, Melnick MAC, Walther Z, Hirsch FR, Politi KA, Kelly K, Gandara DR. Residual circulating tumor DNA (ctDNA) after two months of therapy to predict progression-free and overall survival in patients treated on S1403 with afatinib +/- cetuximab. J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.15_suppl.9532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
9532 Background: ctDNA from patient plasma has demonstrated diagnostic utility in non-small cell lung cancer (NSCLC). Longitudinal changes in mutant allele frequency (MAF) have great potential to refine clinical management on targeted therapies. Methods: S1403 was a first-line phase II study of afatinib w or w/o cetuximab in pts with EGFR-mutant NSCLC. Between March, 2015 and April, 2018, 174 pts were randomized with 168 determined to be eligible. The study closed early due to futility. Plasma specimens were prospectively collected at baseline, Cycle 3 Day 1 (C3D1; 8 weeks) and at progression, and processed for batch analysis of ctDNA by next-generation sequencing (Guardant 360). A complete case analysis approach was used. The Kaplan-Meier method was used to estimate survival distributions, a Cox model to estimate hazard ratios and confidence bounds, and the log-rank test to compare distributions. A landmark analysis was used to assess predictive value of ctDNA clearance at C3D1. Results: 104 patients (62%) had analyzable baseline plasma specimens available, with EGFR mutations detected in 83 (80%). PFS was significantly shorter for pts with EGFR ctDNA positivity at baseline (p = 0.03) (Table) compared to those with no detectable ctDNA, likely a prognostic effect. Kinetic changes in ctDNA MAFs were analyzed in 79 pts with matching baseline and C3D1 specimens. Of 62 cases with detectable ctDNA at baseline, 68% (42/62) became undetectable at C3D1 (“ctDNA clearance”); ctDNA clearance relative to residual ctDNA was associated with significantly longer PFS (p = 0.00001) and OS (0.003) (Table). To date, 29 pts had matching at-progression samples. T790M mutations were observed at progression in 6/29 (24%) cases. Other putative emergent resistance factors include: a TACC3-FGFR3 and an EML4-ALK fusion, MET exon 14 skipping, multiple MET amplifications and NF1 frameshift mutations. Conclusions: Clearance of EGFR ctDNA after 60 days of therapy was associated with a substantial and statistically significant improvement in subsequent PFS and OS. Incorporation of ctDNA kinetics into routine clinical care represents a promising platform to identify patients with inferior outcomes on TKIs and detect targetable emergent resistance mechanisms. [Table: see text]
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Affiliation(s)
| | | | - James Moon
- Southwest Oncology Group Statistical Center, Seattle, WA
| | | | | | | | | | | | | | - Karen Kelly
- University of California Davis Comprehensive Cancer Center, Sacramento, CA
| | - David R. Gandara
- University of California Davis Comprehensive Cancer Center, Sacramento, CA
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7
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Stewart T, Truini A, DeVeaux M, Zelterman D, Walther Z, Wurtz A, Gettinger SN, Politi KA, Goldberg SB. Differential outcomes in patients with uncommon EGFR exon 19 mutations. J Clin Oncol 2018. [DOI: 10.1200/jco.2018.36.15_suppl.9056] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
| | - Anna Truini
- Lung Cancer Unit, IRCCS AOU San Martino - IST - Istituto Nazionale per la Ricerca sul Cancro, Genova, Italy
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Datar I, Mani N, Henick BS, Wurtz A, Kaftan E, Herbst RS, Rimm DL, Gettinger SN, Politi KA, Schalper KA. Measurement of PD-1, TIM-3 and LAG-3 protein in non-small cell lung carcinomas (NSCLCs) with acquired resistance to PD-1 axis blockers. J Clin Oncol 2017. [DOI: 10.1200/jco.2017.35.15_suppl.e14611] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e14611 Background: PD-1 axis blockade induces lasting clinical responses in ~20% of patients with advanced NSCLC. However, most patients eventually develop resistance. Acquired resistance is poorly understood, but may be mediated by alternative immune suppressive pathways. Methods: Using multiplex immunofluorescence we simultaneously measured levels of DAPI, CD3 (D7AE6), PD-1 (EH33), TIM-3 (D5D5R) and LAG-3 (17B4) in 11 whole tissue sections obtained from patients with NSCLC before PD-1 axis blockade and after acquired resistance (8 cases with progression on-treatment and 3 with progression off-therapy). Markers were measured in the whole tumor area or in CD3+ T-cells using fluorescence co-localization. The association between markers and changes upon acquired resistance were studied. Results: Expression of PD-1, TIM-3 and LAG-3 was seen in all cases with membranous staining pattern and signal predominantly located in CD3+ T-cells. Levels of TIM-3 and LAG-3 in T-cells were significantly correlated (Spearman’s R = 0.65, P = 0.001), but were not associated with PD-1 (R = -0.03, P = 0.86 for TIM-3 and PD-1; and R = 0.24, P = 0.28 for LAG-3 and PD-1). Compared to pre-treatment samples, 6 cases (55%) showed significantly higher levels of PD-1 or LAG-3 on acquired resistance and 5 cases (45%) had higher TIM-3. Of these, 4 cases had higher levels of the 3 markers and were on-therapy at progression. Lower levels of PD-1, TIM-3, and LAG-3 were found on acquired resistance in 5 (45%), 6 (55%), and 4 (36%) cases, respectively. Four of these cases showed lower levels of all inhibitory receptors, 3 of which were off-therapy at progression. Only one case had no change in LAG-3 levels. Conclusions: PD-1, TIM-3 and LAG-3 were expressed in the majority of NSCLCs with signal predominantly located in T-lymphocytes. Among acquired resistance cases, higher levels of PD-1, TIM-3 and LAG-3 were associated with progression on-treatment. Lower levels of the markers were associated with progression off-therapy. Although multiple mechanisms may exist, up-regulation of alternative immune inhibitory receptors such as TIM-3 and LAG-3 could mediate acquired resistance to PD-1 axis blockers in a proportion of NSCLCs.
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Affiliation(s)
- Ila Datar
- Yale School of Medicine, New Haven, CT
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9
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Fan PD, Narzisi G, Jayaprakash A, Venturini E, Robine N, Smibert P, Germer S, Jordan E, Wang L, Jungbluth AA, Spraggon L, Lovly CM, Kris MG, Yu HA, Riely GJ, Varmus H, Politi KA, Ladanyi M. YES1 amplification as a mechanism of acquired resistance (AR) to EGFR tyrosine kinase inhibitors (TKIs) identified by a transposon mutagenesis screen and clinical genomic testing. J Clin Oncol 2017. [DOI: 10.1200/jco.2017.35.15_suppl.9043] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
9043 Background: Overcoming AR to EGFR TKIs remains challenging, and in many cases the mechanisms are still unclear. To identify novel mechanisms of resistance to EGFR TKIs, we performed a forward genetic screen using transposon mutagenesis in EGFR-mutant lung adenocarcinoma cells. Methods: EGFR TKI-sensitive PC9 cells were co-transfected with plasmids encoding a mutagenic piggyBactransposon and hyperactive piggyBac transposase. Transposon-tagged, afatinib-resistant clones were generated by sequential selection of transfected cells with puromycin and 1µM afatinib. Transposon insertion sites were mapped using a modified TraDIS-type method and next-generation sequencing (NGS). Selected clones were characterized using Western blots, receptor tyrosine kinase (RTK) arrays, and viability assays following treatment with TKIs or siRNA-mediated gene knockdowns. We reviewed MSK-IMPACT™ NGS data on 100 patient tumors with EGFR TKI AR. Available tumor samples were analyzed by fluorescence in situ hybridization (FISH). Results: In 187/188 afatinib-resistant clones, transposon insertion sites consistent predominantly with gene upregulation were found in MET, the Src family kinase (SFK) member YES1, or both. Clones with activating YES1 insertions exhibited resistance to all three generations of EGFR TKIs; high levels of expression of tyrosine-phosphorylated YES1; sensitivity to the SFK TKI dasatinib and to siRNA-mediated knockdown of YES1; and tyrosine phosphorylation of YAP1 and ERBB3. A query of the MSK-IMPACT™ data on EGFR TKI AR patients revealed amplification of YES1 and no alteration of MET, ERBB2 or BRAF in 3/54 T790M-negative (95% CI 1 to 16%) and 1/46 (95% CI 1 to 12%) T790M-positive cases. Amplification of YES1was confirmed by FISH in 2/2 cases, and was absent in matched pre-TKI samples in 2/2 cases. Conclusions: YES1 amplification is found in 4% of patients with acquired resistance to EGFR TKIs and is potentially targetable by Src family kinase inhibitors. Forward genetic screens using transposon mutagenesis and routine clinical NGS of patient samples can identify novel mechanisms of resistance to targeted therapies.
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Affiliation(s)
- Pang-Dian Fan
- Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | | | | | | | | | - Emmet Jordan
- Memorial Sloan-Kettering Cancer Center, New York, NY
| | - Lu Wang
- Memorial Sloan-Kettering Cancer Center, New York, NY
| | | | - Lee Spraggon
- Memorial Sloan-Kettering Cancer Center, New York, NY
| | | | - Mark G. Kris
- Memorial Sloan-Kettering Cancer Center, New York, NY
| | | | | | | | | | - Marc Ladanyi
- Memorial Sloan-Kettering Cancer Center, New York, NY
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10
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Henick BS, Goldberg SB, Narayan A, Rossi C, Rodney S, Kole AJ, Politi KA, Gettinger SN, Herbst RS, Patel A. Circulating tumor DNA (ctDNA) to monitor treatment response and progression in patients treated with tyrosine kinase inhibitors (TKIs) and immunotherapy for EGFR-mutant non-small cell lung cancer (NSCLC). J Clin Oncol 2017. [DOI: 10.1200/jco.2017.35.15_suppl.e20652] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e20652 Background: Detection of EGFR mutations in ctDNA can help determine appropriateness of TKI therapy for patients with NSCLC. We investigated whether longitudinal monitoring of ctDNA levels can be used to assess response to therapy and disease progression, with a focus on EGFR mutation-positive patients treated with immunotherapy. Methods: Serially collected blood from patients with EGFR mutation-positive NSCLC treated with TKIs and/or immunotherapy was analyzed using an ultrasensitive 24-gene next-generation sequencing assay. Clinical characteristics and outcomes were analyzed retrospectively by chart review. Results: We studied quantitative changes in ctDNA levels during treatment by analyzing somatic mutations in 91 plasma samples from 8 patients with EGFR-mutant NSCLC, including samples collected around the time of disease progression for a subset of patients. Two patients treated with PD-1 inhibitor monotherapy experienced a rise in ctDNA harboring EGFR-sensitizing mutations prior to radiographic progression. A third patient was started on anti-PD-1 monotherapy following disease progression on erlotinib. Plasma levels of L858R, T790M, and TP53 mutations were detectable on treatment initiation and decreased with radiographic response. The levels of these mutations rose at progression,fell with response to EGFR-directed therapy, and increased again before disease progression. Another patient was found to have mutations in EGFR, T790M, and TP53 that fell upon treatment with combination TKI therapy. The remaining four patients studied were treated with concurrent TKI and immunotherapy. In all of these cases, sensitizing EGFR mutations were present in plasma at low levels during response to treatment. Two of the four patients had a rise in ctDNA level at the time of radiographic progression; the other two patients had durable responses with persistently low ctDNA levels. Analysis of additional cases is ongoing. Conclusions: Monitoring quantitative changes in ctDNA may enable assessment of response or disease progression in immunotherapy- and TKI-treated EGFR-mutant NSCLC patients.
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Affiliation(s)
| | | | | | | | - Simon Rodney
- University College London, London, United Kingdom
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11
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Aisner D, Sholl LM, Berry LD, Haura EB, Ramalingam SS, Glisson BS, Socinski MA, Waqar SN, Garon EB, Cetnar JP, Politi KA, Schiller J, Rossi MR, Chen H, Minna JD, Wistuba II, Johnson BE, Kris MG, Bunn PA, Kwiatkowski DJ. Effect of expanded genomic testing in lung adenocarcinoma (LUCA) on survival benefit: The Lung Cancer Mutation Consortium II (LCMC II) experience. J Clin Oncol 2016. [DOI: 10.1200/jco.2016.34.15_suppl.11510] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Dara Aisner
- University of Colorado School of Medicine, Aurora, CO
| | | | | | - Eric B. Haura
- H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | | | | | | | | | | | | | | | - Joan Schiller
- University of Texas Southwestern Medical Center, Dallas, TX
| | | | - Heidi Chen
- Vanderbilt-Ingram Cancer Center, Nashville, TN
| | - John D. Minna
- The University of Texas Southwestern Medical Center, Dallas, TX
| | | | | | - Mark G. Kris
- Memorial Sloan Kettering Cancer Center, New York, NY
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12
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Xia B, Wurtz A, Gettinger SN, Herbst RS, Chiang AC, Wan M, Sklar J, Neumeister V, Politi KA, Goldberg SB. HER2 amplification in EGFR mutant NSCLC after acquired resistance (AR) to EGFR-directed therapies. J Clin Oncol 2016. [DOI: 10.1200/jco.2016.34.15_suppl.9049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Bing Xia
- Yale Cancer Center, New Haven, CT
| | | | | | - Roy S. Herbst
- Yale University School of Medicine, Yale Cancer Center, New Haven, CT
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13
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Kris MG, Johnson BE, Kwiatkowski DJ, Wistuba II, Berry LD, Haura EB, Socinski MA, Ramalingam SS, Glisson BS, Waqar SN, Otterson GA, Schiller JH, Garon EB, Cetnar JP, Politi KA, Brahmer JR, Sequist LV, Lovly CM, Kugler K, Bunn PA. Migration to next-generation sequencing and the identification of RET and ROS1 rearrangements plus PTEN and MET protein expression in tumor specimens from patients with lung adenocarcinomas: Lung Cancer Mutation Consortium (LCMC 2.0). J Clin Oncol 2015. [DOI: 10.1200/jco.2015.33.15_suppl.8094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Mark G. Kris
- Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | | | | | | | | | | | | | | | | | | | - Edward B. Garon
- David Geffen School of Medicine at University of California, Los Angeles/Translational Research in Oncology-US Network, Los Angeles, CA
| | | | | | - Julie R. Brahmer
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD
| | | | | | - Kelly Kugler
- University of Colorado Cancer Center Denver, Aurora, CO
| | - Paul A. Bunn
- University of Colorado Cancer Center, Aurora, CO
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14
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Goldberg SB, Narayan A, Carriero NJ, Nemati R, Bommakanti A, Wurtz A, Boffa DJ, Decker RH, Herbst RS, Juergensmeier JM, Politi KA, Gettinger SN, Patel A. Detection of sensitizing and resistance EGFR mutations from circulating tumor DNA (ctDNA) in blood using multiplexed next-generation sequencing in patients with advanced EGFR-mutant lung adenocarcinoma. J Clin Oncol 2014. [DOI: 10.1200/jco.2014.32.15_suppl.8093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Sarah B. Goldberg
- Department of Medical Oncology, Yale University School of Medicine, New Haven, CT
| | - Azeet Narayan
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT
| | | | | | | | | | | | - Roy H. Decker
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT
| | - Roy S. Herbst
- Department of Medical Oncology, Yale University School of Medicine, New Haven, CT
| | | | | | - Scott N. Gettinger
- Department of Medical Oncology, Yale University School of Medicine, New Haven, CT
| | - Abhijit Patel
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT
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15
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Pirazzoli V, de Stanchina E, Xia J, Zhao Z, Pao W, Politi KA. Abstract 933: Modeling acquired resistance to EGFR-directed therapies in mouse models of lung cancer. Cancer Res 2013. [DOI: 10.1158/1538-7445.am2013-933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Seventy percent of patients with Epidermal Growth Factor Receptor (EGFR) mutant lung cancer respond to treatment with the tyrosine kinase inhibitors (TKIs) erlotinib or gefitinib. Despite this high response rate, patients almost inevitably develop resistance to these drugs on average within a year of starting drug treatment. Acquired resistance to EGFR TKIs is most commonly due to the emergence of a secondary mutation (T790M) in EGFR (in 50% of cases), amplification of the genes encoding the ERBB2 and MET receptor tyrosine kinases in 12 and 5% of cases, respectively, and phenotypic transformation of the adenocarcinomas to small cell lung cancer (5% of cases). Previously, in an effort to develop strategies to overcome T790M-mediated resistance, we generated tetracycline-inducible transgenic mice that express the EGFRL858R+T790M in the lung epithelium. Upon administration of doxycycline these mice develop lung adenocarcinomas that are resistant to TKIs. However, the combination of the irreversible TKI afatinib and the EGFR antibody cetuximab showed dramatic responses in these transgenic mice. These preclinical studies led to a clinical trial of these agents, which has showing a promising 30% response rate in patients with EGFR mutant tumors resistant to TKIs. However, tumors also acquire resistance to this drug combination and the mechanisms of resistance to afatinib+cetuximab are currently unknown. We set out to identify these mechanisms using xenograft and transgenic mouse models of EGFR mutant lung cancer. Transgenic mice with EGFRL858R+T790M-induced tumors were treated with afatinib+cetuximab using an intermittent dosing strategy that we had previously used to generate erlotinib-resistant tumors in mice with EGFRL858R and EGFRDEL-induced tumors. 75% of mice develop afatinib+cetuximab resistant tumors after three month-long rounds of treatment. The same treatment strategy applied to xenografts harboring subcutaneous tumors induced by EGFRDEL+T790M gave rise to resistant tumors in 20% of cases. Analysis of the afatinib+cetuximab resistant tumors performed to date has not revealed additional mutations in the EGFR transgene, the ERBB2 kinase domain or KRAS. Additional sequencing studies and examination of signaling pathway alterations in the resistant tumors are ongoing. Uncovering mechanisms of resistance to this drug combination will allow the development of strategies to treat tumors that acquire resistance to EGFR-directed therapies.
Citation Format: Valentina Pirazzoli, Elisa de Stanchina, Jungfeng Xia, Zhongming Zhao, William Pao, Katerina A. Politi. Modeling acquired resistance to EGFR-directed therapies in mouse models of lung cancer. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 933. doi:10.1158/1538-7445.AM2013-933
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16
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Politi KA. Abstract IA4: Defining the mechanisms of tumorigenesis by mutant EGFR using mouse models. Clin Cancer Res 2012. [DOI: 10.1158/1078-0432.12aacriaslc-ia4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Mutations in exons encoding the epidermal growth factor receptor (EGFR) are found in 10–15% of lung adenocarcinomas. The two most common mutations: a point mutation in exon 21 that leads to substitution of an arginine for a leucine at position 858 and small in-frame deletions in exon 19 are associated with sensitivity to the specific tyrosine kinase inhibitors (TKIs) gefitinib and erlotinib. Approximately 70% of tumors harboring EGFR mutations respond to treatment with these drugs, however 30% of these tumors exhibit primary resistance to treatment with these agents. Moreover, responses are transient and, on average, within a year of initiating treatment patients who initially respond eventually develop TKI-inhibitor-resistant disease. Drug resistance, in most cases, is due to a secondary mutation in EGFR (EGFR T790M). Other less frequent mechanisms of resistance include MET amplification, PIK3CA mutations and transformation to small cell lung cancer. However, the mechanism of resistance is still unknown in approximately 30% of cases. More effective treatment of patients with EGFR mutant lung cancer requires a better understanding of the mechanisms of primary and acquired resistance to EGFR TKIs and the development of strategies to overcome this resistance.
To study these problems in vivo, we developed tetracycline-inducible transgenic mouse models of EGFR mutant lung cancer. Expression of lung cancer associated EGFR mutants gives rise to lung adenocarcinomas with bronchioloalveolar carcinoma features that are dependent upon the continuous activity of mutant EGFR for survival. Thus, treatment of the mice with erlotinib leads to tumor regression and long-term treatment with the drug gives rise to drug-resistant tumors that harbor some of the alterations observed in human TKI-resistant tumors such as the T790M mutation. Current efforts to use these mouse models to: 1) study mechanisms of primary and acquired resistance to EGFR TKIs and 2) evaluate new therapies to overcome resistance to first generation TKIs will be discussed.
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Regales L, Gong Y, Shen R, de Stanchina E, Vivanco I, Goel A, Koutcher JA, Spassova M, Ouerfelli O, Mellinghoff IK, Zakowski MF, Politi KA, Pao W. Dual targeting of EGFR can overcome a major drug resistance mutation in mouse models of EGFR mutant lung cancer. J Clin Invest 2009; 119:3000-10. [PMID: 19759520 DOI: 10.1172/jci38746] [Citation(s) in RCA: 161] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2009] [Accepted: 07/29/2009] [Indexed: 01/17/2023] Open
Abstract
EGFR is a major anticancer drug target in human epithelial tumors. One effective class of agents is the tyrosine kinase inhibitors (TKIs), such as gefitinib and erlotinib. These drugs induce dramatic responses in individuals with lung adenocarcinomas characterized by mutations in exons encoding the EGFR tyrosine kinase domain, but disease progression invariably occurs. A major reason for such acquired resistance is the outgrowth of tumor cells with additional TKI-resistant EGFR mutations. Here we used relevant transgenic mouse lung tumor models to evaluate strategies to overcome the most common EGFR TKI resistance mutation, T790M. We treated mice bearing tumors harboring EGFR mutations with a variety of anticancer agents, including a new irreversible EGFR TKI that is under development (BIBW-2992) and the EGFR-specific antibody cetuximab. Surprisingly, we found that only the combination of both agents together induced dramatic shrinkage of erlotinib-resistant tumors harboring the T790M mutation, because together they efficiently depleted both phosphorylated and total EGFR. We suggest that these studies have immediate therapeutic implications for lung cancer patients, as dual targeting with cetuximab and a second-generation EGFR TKI may be an effective strategy to overcome T790M-mediated drug resistance. Moreover, this approach could serve as an important model for targeting other receptor tyrosine kinases activated in human cancers.
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Affiliation(s)
- Lucia Regales
- Pao Laboratory, Human Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
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Abstract
In 2004, several investigators reported that somatic mutations in the epidermal growth factor receptor gene were associated with clinical responses to erlotinib and gefitinib in patients with non-small cell lung cancer. Since then, multiple groups have examined the biological properties that such mutations confer as well as the clinical relevance of these mutations in patients with non-small cell lung cancer. Although a tremendous amount of knowledge has been gained in the past 2 years, there remain a number of important epidemiologic, biological, and clinical questions.
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Affiliation(s)
- Gregory J Riely
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York 10021, USA
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Christiani DC, Pao W, DeMartini JC, Linnoila RI, Malkinson AM, Onn A, Politi KA, Sharp M, Kim K. BAC Consensus Conference, November 4–6, 2004: Epidemiology, Pathogenesis, and Preclinical Models. J Thorac Oncol 2006. [DOI: 10.1016/s1556-0864(15)30002-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Christiani DC, Pao W, DeMartini JC, Linnoila RI, Malkinson AM, Onn A, Politi KA, Sharp M, Wong KK, Kim K. BAC consensus conference, November 4-6, 2004: epidemiology, pathogenesis, and preclinical models. J Thorac Oncol 2006; 1:S2-7. [PMID: 17409996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
INTRODUCTION Human bronchioloalveolar carcinoma (BAC) is a disease with an evolving definition. "Pure" BAC, characterized by a bronchioloalveolar growth pattern and no evidence of stromal, vascular, or pleural invasion, represents only 2 to 6% of non-small cell lung cancer (NSCLC) cases, but up to 20% of NSCLC cases may contain elements of BAC. This imprecise definition makes it difficult to perform epidemiologic analyses or to generate accurate animal models. However, because BAC appears to behave clinically differently from adenocarcinoma, a better understanding of this disease entity is imperative. METHODS/RESULTS At the BAC Consensus Conference in 2004, our committee discussed issues relevant to BAC epidemiology, pathogenesis, and preclinical models. CONCLUSIONS Elucidation of molecular events involved in BAC tumorigenesis will allow for more precise epidemiologic studies and improved animal models, which will enable development of more effective treatments against the disease.
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Affiliation(s)
- David C Christiani
- Harvard University Schools of Medicine and Public Health, Boston, MA, USA
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