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      Shengqing (Stan) Gu Image

      Shengqing (Stan) Gu, Ph.D.

      Department of Hematopoietic Biology & Malignancy, Division of Cancer Medicine

      About Dr. Shengqing Gu

      Shengqing (Stan) Gu graduated from University of Toronto with a PhD in Medical Biophysics and did postdoctoral training at Harvard Medical School and Dana-Farber Cancer Institute. He joined University of Texas MD Anderson Cancer Center as Assistant Professor in November 2022. He is strongly committed to the professional fulfillment and career advancement of his trainees.
      Read More

      Present Title & Affiliation

      Primary Appointment

      Faculty, The University of Texas Graduate School of Biomedical Sciences, Houston, TX

      Assistant Professor, Hematopoietic Biology and Malignancy, The University of Texas MD Anderson Cancer Center, Houston, TX

      Dual/Joint/Adjunct Appointment

      Faculty, The University of Texas Graduate School of Biomedical Sciences, Houston, TX

      Assistant Professor, Hematopoietic Biology and Malignancy, The University of Texas MD Anderson Cancer Center, Houston, TX

      Research Interests

      Our lab is interested in enhancing the efficacy of cancer immunotherapy by modulating cell-cell interactions. To achieve this goal, we integrate various cutting-edge experimental and computational approaches in the areas of functional genomics, single-cell/spatial multi-omics, data mining, machine learning, and mathematical modeling, among others. Here are several research directions in the lab:

      Context-dependent gene regulation

      We aim to perturb gene expression in the tumor to enhance immunotherapy with desired immunomodulatory effects. Our previous research revealed that gene expression regulation depends on the cellular genetic/epigenetic context. For example, cancer cells with different baseline NF-κB expression can show different responses to SMAC mimetics in upregulating MHC-I. Therefore, to achieve the desired immunomodulatory effects, we need rational, personalized strategies to perturb gene expression. To this end, we will integrate functional genomics, single-cell/spatial technologies, and machine learning approaches to elucidate the context-dependent gene regulation mechanisms.

      Novel mechanisms of cell-cell interaction

      The essence of the anti-cancer immune response lies in cell-cell interactions. Our previous research investigated multiple aspects of such interaction at different levels. We applied machine learning models to public bulk tumor gene expression data and identified SERPINB9 and MAN2A1 as regulators of cancer cells’ response to cytotoxic T cells. Using in vivo CRISPR screens, we identified a ubiquitin E3 ligase, COP1, whose inhibition can alter macrophage infiltration and sensitize tumors to immunotherapy. We also identified multiple regulators of the MHC-I/II antigen presentation machinery in cancer cells that can modulate cancer-T-cell interaction. We are interested in other cell-cell interaction mechanisms in the tumor microenvironment.

      Dynamics of anti-cancer immune response

      With the expanding options for cancer therapy and vast possibilities for drug scheduling, we need quantitative models of the response dynamics to rationally design combination strategies. Our previous research integrated a branching model and ODE models to simulate the dynamics of ovarian cancer clinical course and predict optimal combinations of surgery and chemotherapy for this disease. We also used clonal tracing of cancer cells to characterize the dynamics and heterogeneity of response to immune checkpoint blockade therapy. We aim to further integrate experimental/clinical data and mathematical modeling to quantify the dynamics of the anti-cancer immune response, which can help us gain mechanistic insights into this biological process and optimize combination therapy strategies.

      Education & Training

      Degree-Granting Education

      2016University of Toronto, Ontario, CA, Medical Biophysics, Ph.D
      2007Peking University, Beijing, CN, Biological Sciences, BS

      Postgraduate Training

      2016-2021Postdoctoral Fellow, Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts

      Experience & Service

      Faculty Academic Appointments

      Instructor, Medical Oncology, Harvard Medical School, Dana-Farber Cancer Institute, Boston, MA, 2021 - 2022

      Postdoctoral Fellow, Data Science, Harvard T.H. Chan School of Public Health, Dana-Farber Cancer Institute, Boston, MA, 2016 - 2021

      Other Professional Positions

      Graduate Researcher, University of Toronto, University Health Network Department of Medical Biophysics, Ontario, 2008 - 2016

      Extramural Institutional Committee Activities

      Member, Odyssey Fellowship Review Committee, The University of Texas MD Anderson Cancer Center, 2026

      Member, DoCM Exemplary Employee Review Panel, The University of Texas MD Anderson Cancer Center, 2026

      Member, GSBS GSRD reviewer panel, The University of Texas MD Anderson Cancer Center, 2026

      Member, GSBS Admissions Internal Committee, The University of Texas MD Anderson Cancer Center, 2024 - 2025

      Liaison, MDACC-PMCC Science Alliance, The University of Texas MD Anderson Cancer Center, 2024

      Member, GSBS Admissions Committee, The University of Texas MD Anderson Cancer Center, 2023 - 2024

      Honors & Awards

      2024 - PresentUT STARs Award, The University of Texas System
      2023 - PresentNCI Career Transition Award (K22), NCI
      2022 - PresentUnderrepresented Early Career Scientists Travel Award, Dana-Farber Cancer Institute
      2021 - 2022SITC Annual Meeting Young Investigator Travel Award, Society for Immunotherapy of Cancer
      2021AACR-Doreen J. Putrah Cancer Research Foundation Scholar-in-Training Award, American Association for Cancer Research
      2015AACR-Marsha Rivkin Center for Ovarian Cancer Research Scholar-in-Training Award, American Association for Cancer Research
      2014 - 2015Department of Medical Biophysics Doctoral Completion Award, University of Toronto
      2011Canadian Cancer Research Conference Travel Award, Canadian Cancer Research
      2011ORT Travel Award, University Health Network
      2010 - 2011Department of Medical Biophysics Travel Award, University of Toronto
      2009 - 2010University of Toronto Award Fund, University of Toronto
      2004 - 2006Peking University Principal’s Undergraduate Research Award, Peking University
      2004Beijing 21st Undergraduate Physics Contest 3rd Prize, Peking University

      Professional Memberships

      Society for Immunotherapy of Cancer (SITC)

      2020 - Present

      American Association for Cancer Research (AACR)

      2011 - Present

      International Society for Stem Cell Research (ISSCR)

      2011 - 2012

      University of Toronto Students for Medicare

      2010 - 2012

      Selected Presentations & Talks

      Local Presentations

      1. 2026. Suppressing the SAGA complex enhances antigen presentation in HGSC. Invited. Center for Cancer Epigenetics Annual Retreat. Houston, Texas, US.
      2. 2025. Tackling cancer immune evasion - antigen presentation and beyond. Invited. Houston, Texas, US.
      3. 2025. Integrative approaches to tackle cancer immune escape. Invited. Houston, Texas, US.
      4. 2024. Integrative Approaches to enhance cancer immune response. Invited. Houston, Texas, US.
      5. 2024. Integrative Approaches to Enhance Cancer Immune Response. Invited. Allison Institute Symposium. Houston, Texas, US.
      6. 2023. Integrative Approaches to Enhance Cancer Immune Response. Invited. Houston, Texas, US.
      7. 2023. Integrative Approaches to Enhance Cancer Immune Response. Invited. Houston, Texas, US.
      8. 2023. Integrative Approaches to Enhance Cancer Immune Response. Invited. Houston, Texas, US.
      9. 2023. Integrative Approaches to Enhance Cancer Immune Response. Invited. Houston, Texas, US.

      Regional Presentations

      1. 2024. Modulating Cancer Antigen Presentation to Potentiate Immunotherapy. Invited. GCC Single Cell Omics Symposium, US.

      National Presentations

      1. 2026. Pan-cancer mapping of genetic immune escape trajectories. Poster. AACR Annual Meeting 2026.
      2. 2026. Tackling cancer immune evasion - antigen presentation and beyond. Invited. Albuquerque, New Mexico, US.
      3. 2023. Hippo signaling pathway regulates cancer-cell-intrinsic MHC-II expression in melanoma. Conference. AACR Annual Meeting 2023. Orlando, FL, US.
      4. 2022. Integrative approaches to modulate antigen presentation and boost cancer immune response. Conference. AACR Annual Meeting 2022. New Orleans, LA, US.
      5. 2021. Therapeutically increasing MHC-I expression potentiates immune checkpoint blockade. Conference. AACR Annual Meeting 2021, US.
      6. 2021. Increasing MHC-I expression to potentiate immune checkpoint blockade therapy. Conference. SITC Annual Meeting 2021. Washington, DC, US.
      7. 2019. Clonal tracing reveals distinct sources of resistance to immune checkpoint blockade. Conference. AACR Annual Meeting 2019. Atlanta, GA, US.
      8. 2017. Identification of resistance to immune checkpoint blockade. Conference. AACR Tumor Immunology and Immunotherapy. Boston, MA, US.
      9. 2015. Computational modeling of serous ovarian carcinoma dynamics: implications for screening and therapy. Conference. AACR Advances in Ovarian Cancer Research. Orlando, FL, US.
      10. 2015. Computational modeling of serous ovarian carcinoma dynamics: implications for screening and therapy. Conference. AACR Computational and Systems Biology of Cancer. San Francisco, CA, US.
      11. 2015. Computational modeling of serous ovarian carcinoma dynamics: implications for screening and therapy. Conference. AACR Annual Meeting 2015. Philadelphia, PA, US.
      12. 2012. Shp2 Is Required for Chronic Myeloid Leukemia Initiation and Maintenance. Conference. AACR Annual Meeting 2012. Chicago, IL, US.
      13. 2011. Requirement for Shp2 in Chronic Myeloid Leukemia Initiation and Maintenance. Conference. Hematopoietic Malignancies. Saxtons River, VT, US.

      International Presentations

      1. 2024. Increasing MHC-I expression to potentiate cancer immunotherapy. Invited. Princess Margaret Cancer Center - MD Anderson Cancer Center Joint Symposium. Toronto, CA.
      2. 2021. In vivo CRISPR screens identify E3 ligase Cop1 as a cancer immunotherapy target by modulating macrophage infiltration. Conference. In vivo CRISPR screens identify E3 ligase Cop1 as a cancer immunotherapy target by modulating macrophage infiltration. Virtual, US.
      3. 2018. Microenvironmental factors shape resistance patterns to immune checkpoint blockade. Conference. Microenvironmental factors shape resistance patterns to immune checkpoint blockade. New York, US.
      4. 2015. Computational modeling of high-grade serous ovarian carcinoma dynamics: implications for screening and therapy. Conference. Computational modeling of high-grade serous ovarian carcinoma dynamics: implications for screening and therapy. Suzhou, CN.
      5. 2014. Computational modeling of high-grade serous ovarian cancer. Invited. 5th Annual Ovarian Cancer Symposium. Toronto, CA.
      6. 2011. Shp2 Is Required for Chronic Myeloid Leukemia Initiation and Maintenance. Conference. Shp2 Is Required for Chronic Myeloid Leukemia Initiation and Maintenance. Toronto, CA.

      Formal Peers

      1. 2023. Integrative approaches to enhance cancer immune response. Invited. Houston, TX, US.
      2. 2023. Integrative approaches to enhance cancer immune response. Invited. Houston, TX, US.
      3. 2021. Integrative approaches to enhance cancer immune response. Invited. Virtual, US.
      4. 2019. Deconvolution of the resistance to immunotherapy. Invited. Virtual, US.
      5. 2018. Deconvoluting the resistance to immune checkpoint blockade. Invited, US.
      Read More
      Less

      Grant & Contract Support

      Date: 2026 - 2027
      Title:Assessing the efficacy of combination immunotherapy in high-grade serous ovarian cancer
      Funding Source:UT MD Anderson
      Role:PI
      Date: 2023 - 2026
      Title:Enhancing the efficacy of immunotherapy by optimal use of SMAC mimetics
      Funding Source:NIH/NCI
      Role:PI
      ID:1K22CA279077-01
      Date: 2023 - 2024
      Title:Novel approach to sensitize acute myeloid leukemia (AML) to immunotherapy
      Funding Source:PhRMA Foundation
      Role:PI
      Date: 2020 - 2022
      Title:Immunomodulatory effects of nuclear receptors in triple-negative breast cancer
      Funding Source:Medical Foundation Sara Elizabeth O’Brien Trust Postdoctoral Fellowship
      Role:PI
      Title:Potentiating immune response of hematopoietic neoplasia by modulating MHC-I/II
      Funding Source:University of Texas
      Role:PI

      Selected Publications

      Peer-Reviewed Articles

      1. Nie H, Liao L, Zielinski RJ, Gomez JA, Basi AV, Seeley EH, Tan L, Bilecz AJ, Zhou W, Liu H, Wang C, Wu S, Qi Y, Miyamoto T, Severi F, Goldman AR, Gu S, Sood AK, Jazaeri AA, Drapkin R, Claiborne DT, Zhang N, Lorenzi PL, Burks JK, Lengyel E, Gottlieb E, Zhang R. Selective Alanine Transporter Utilization Is a Therapeutic Vulnerability in ARID1A-Mutant Ovarian Cancer. Cancer Res 85(18):3471-3489, 2025. e-Pub 2025. PMID: 40658600.
      2. Chen W, Baker T, Zhang Z, Ogilvie HA, Van Loo P, Gu SS. Evolutionary trajectories of immune escape across cancers. bioRxiv, 2025. e-Pub 2025. PMID: 39868264.
      3. Li, D, Geng, K, Hao, Y, Gu, J, Kumar, S, Olson, AT, Kuismi, CC, Kim, HM, Pan, Y, Sherman, F, Williams, AM, Li, Y, Li, F, Chen, T, Thakurdin, C, Ranieri, M, Meynardie, M, Levin, DS, Stephens, J, Chafitz, A, Chen, J, Donald-Paladino, MS, Powell, JM, Zhang, ZY, Chen, W, Ploszaj, M, Han, H, Gu, S, Zhang, T, Hu, B, Nacev, B, Kaiza, ME, Berger, AH, Wang, X, Li, J, Sun, X, Liu, Y, Zhang, X, Bruno, TC, Gray, NS, Nabet, B, Wong, KK, Zhang, H. Targeted degradation of oncogenic KRASG12Vtriggers antitumor immunity in lung cancer models. Journal of Clinical Investigation 135(2), 2025. e-Pub 2025. PMID: 39718828.
      4. Mason M, Ó L, Halkola AS, Wang W, Mall R, Xiao X, Kaufman J, Fu J, Pfeil J, Banerjee J, Chung V, Chang H, Chasalow SD, Lin HY, Chai R, Yu T, Finotello F, Mirtti T, Mäyränpää MI, Bao J, Verschuren EW, Ahmed EI, Ceccarelli M, Miller LD, Monaco G, Hendrickx WRL, Sherif S, Yang L, Tang M, Gu SS, Zhang W, Zhang Y, Zeng Z, Das Sahu A, Liu Y, Yang W, Bedognetti D, Tang J, Eduati F, Laajala TD, Geese WJ, Guinney J, Szustakowski JD, Vincent BG, Carbone DP. A community challenge to predict clinical outcomes after immune checkpoint blockade in non-small cell lung cancer. J Transl Med 22(1):190, 2024. e-Pub 2024. PMID: 38383458.
      5. Zhang Y, Xiang G, Jiang AY, Lynch A, Zeng Z, Wang C, Zhang W, Fan J, Kang J, Gu SS, Wan C, Zhang B, Liu XS, Brown M, Meyer CA. MetaTiME integrates single-cell gene expression to characterize the meta-components of the tumor immune microenvironment. Nat Commun 14(1):2634, 2023. e-Pub 2023. PMID: 37149682.
      6. Sahu A, Wang X, Munson P, Klomp JPG, Wang X, Gu SS, Han Y, Qian G, Nicol P, Zeng Z, Wang C, Tokheim C, Zhang W, Fu J, Wang J, Nair NU, Rens JAP, Bourajjaj M, Jansen B, Leenders I, Lemmers J, Musters M, van Zanten S, van Zelst L, Worthington J, Liu JS, Juric D, Meyer CA, Oubrie A, Liu XS, Fisher DE, Flaherty KT. Discovery of Targets for Immune-Metabolic Antitumor Drugs Identifies Estrogen-Related Receptor Alpha. Cancer Discov 13(3):672-701, 2023. e-Pub 2023. PMID: 36745048.
      7. Soto-Feliciano YM, Sánchez-Rivera FJ, Perner F, Barrows DW, Kastenhuber ER, Ho YJ, Carroll T, Xiong Y, Anand D, Soshnev AA, Gates L, Beytagh MC, Cheon D, Gu S, Liu XS, Krivtsov AV, Meneses M, de Stanchina E, Stone RM, Armstrong SA, Lowe SW, Allis CD. A molecular switch between mammalian MLL complexes dictates response to Menin-MLL inhibition. Cancer Discov 13(1):146-169, 2023. e-Pub 2023. PMID: 36264143.
      8. Zeng Z, Gu SS, Ouardaoui N, Tymm C, Yang L, Wong CJ, Li D, Zhang W, Wang X, Weirather JL, Rodig SJ, Hodi FS, Brown M, Liu XS. Hippo signaling pathway regulates cancer cell-intrinsic MHC-II expression. Cancer Immunol Res 10(12):1559-1569, 2022. e-Pub 2022. PMID: 36219700.
      9. Zeng Z, Gu SS, Wong CJ, Yang L, Ouardaoui N, Li D, Zhang W, Brown M, Liu XS. Machine learning on syngeneic mouse tumor profiles to model clinical immunotherapy response. Sci Adv 8(41):eabm8564, 2022. e-Pub 2022. PMID: 36240281.
      10. Zhang W, Roy Burman SS, Chen J, Donovan KA, Cao Y, Shu C, Zhang B, Zeng Z, Gu S, Zhang Y, Li D, Fischer ES, Tokheim C, Shirley Liu X. Machine Learning Modeling of Protein-intrinsic Features Predicts Tractability of Targeted Protein Degradation. Genomics Proteomics Bioinformatics 20(5):882-898, 2022. e-Pub 2022. PMID: 36494034.
      11. Qiu X, Boufaied N, Hallal T, Feit A, de Polo A, Luoma AM, Alahmadi W, Larocque J, Zadra G, Xie Y, Gu S, Tang Q, Zhang Y, Syamala S, Seo JH, Bell C, O'Connor E, Liu Y, Schaeffer EM, Jeffrey Karnes R, Weinmann S, Davicioni E, Morrissey C, Cejas P, Ellis L, Loda M, Wucherpfennig KW, Pomerantz MM, Spratt DE, Corey E, Freedman ML, Shirley Liu X, Brown M, Long HW, Labbé DP. MYC drives aggressive prostate cancer by disrupting transcriptional pause release at androgen receptor targets. Nat Commun 13(1):2559, 2022. e-Pub 2022. PMID: 35562350.
      12. Aubrey BJ, Cutler JA, Bourgeois W, Donovan KA, Gu S, Hatton C, Perlee S, Perner F, Rahnamoun H, Theall ACP, Henrich JA, Zhu Q, Nowak RP, Kim YJ, Parvin S, Cremer A, Olsen SN, Eleuteri NA, Pikman Y, McGeehan GM, Stegmaier K, Letai A, Fischer ES, Liu XS, Armstrong SA. IKAROS and MENIN coordinate therapeutically actionable leukemogenic gene expression in MLL-r acute myeloid leukemia. Nat Cancer 3(5):595-613, 2022. e-Pub 2022. PMID: 35534777.
      13. Zhou J, Wu Z, Zhang Z, Goss L, McFarland J, Nagaraja A, Xie Y, Gu S, Peng K, Zeng Y, Zhang X, Long H, Nakagawa H, Rustgi A, Diehl JA, Meyerson M, Wong KK, Bass A. Pan-ERBB kinase inhibition augments CDK4/6 inhibitor efficacy in oesophageal squamous cell carcinoma. Gut 71(4):665-675, 2022. e-Pub 2022. PMID: 33789967.
      14. Zeng Z, Wong CJ, Yang L, Ouardaoui N, Li D, Zhang W, Gu S, Zhang Y, Liu Y, Wang X, Fu J, Zhou L, Zhang B, Kim S, Yates KB, Brown M, Freeman GJ, Uppaluri R, Manguso R, Liu XS. TISMO: syngeneic mouse tumor database to model tumor immunity and immunotherapy response. Nucleic Acids Res 50(D1):D1391-D1397, 2022. e-Pub 2022. PMID: 34534350.
      15. Zhou L, Zeng Z, Egloff AM, Zhang F, Guo F, Campbell KM, Du P, Fu J, Zolkind P, Ma X, Zhang Z, Zhang Y, Wang X, Gu S, Riley R, Nakahori Y, Keegan J, Haddad R, Schoenfeld JD, Griffith O, Manguso RT, Lederer JA, Liu XS, Uppaluri R. Checkpoint blockade-induced CD8+ T cell differentiation in head and neck cancer responders. J Immunother Cancer 10(1), 2022. e-Pub 2022. PMID: 35058328.
      16. Wang X, Tokheim C, Gu SS, Wang B, Tang Q, Li Y, Traugh N, Zeng Z, Zhang Y, Li Z, Zhang B, Fu J, Xiao T, Li W, Meyer CA, Chu J, Jiang P, Cejas P, Lim K, Long H, Brown M, Liu XS. In vivo CRISPR screens identify the E3 ligase Cop1 as a modulator of macrophage infiltration and cancer immunotherapy target. Cell 184(21):5357-5374.e22, 2021. e-Pub 2021. PMID: 34582788.
      17. Qiu X, Feit AS, Feiglin A, Xie Y, Kesten N, Taing L, Perkins J, Gu S, Li Y, Cejas P, Zhou N, Jeselsohn R, Brown M, Shirley Liu X, Long HW. CoBRA: Containerized Bioinformatics Workflow for Reproducible ChIP/ATAC-seq Analysis. Genomics Proteomics Bioinformatics 19(4):652-661, 2021. e-Pub 2021. PMID: 34284136.
      18. Gu S, Lheureux S, Sayad A, Cybulska P, Hogen L, Vyarvelska I, Tu D, Parulekar WR, Nankivell M, Kehoe S, Chi DS, Levine DA, Bernardini MQ, Rosen B, Oza A, Brown M, Neel BG. Computational modeling of ovarian cancer dynamics suggests optimal strategies for therapy and screening. Proc Natl Acad Sci U S A 118(25), 2021. e-Pub 2021. PMID: 34161278.
      19. Gu SS, Zhang W, Wang X, Jiang P, Traugh N, Li Z, Meyer C, Stewig B, Xie Y, Bu X, Manos MP, Font-Tello A, Gjini E, Lako A, Lim K, Conway J, Tewari AK, Zeng Z, Sahu AD, Tokheim C, Weirather JL, Fu J, Zhang Y, Kroger B, Liang JH, Cejas P, Freeman GJ, Rodig S, Long HW, Gewurz BE, Hodi FS, Brown M, Liu XS. Therapeutically Increasing MHC-I Expression Potentiates Immune Checkpoint Blockade. Cancer Discov 11(6):1524-1541, 2021. e-Pub 2021. PMID: 33589424.
      20. Zhang S, Iyer S, Ran H, Dolgalev I, Gu S, Wei W, Foster CJR, Loomis CA, Olvera N, Dao F, Levine DA, Weinberg RA, Neel BG. Genetically Defined, Syngeneic Organoid Platform for Developing Combination Therapies for Ovarian Cancer. Cancer Discov 11(2):362-383, 2021. e-Pub 2021. PMID: 33158842.
      21. Wan C, Keany MP, Dong H, Al-Alem LF, Pandya UM, Lazo S, Boehnke K, Lynch KN, Xu R, Zarrella DT, Gu S, Cejas P, Lim K, Long HW, Elias KM, Horowitz NS, Feltmate CM, Muto MG, Worley MJ, Berkowitz RS, Matulonis UA, Nucci MR, Crum CP, Rueda BR, Brown M, Liu XS, Hill SJ. Enhanced Efficacy of Simultaneous PD-1 and PD-L1 Immune Checkpoint Blockade in High-Grade Serous Ovarian Cancer. Cancer Res 81(1):158-173, 2021. e-Pub 2021. PMID: 33158814.
      22. Shi S, Gu S, Han T, Zhang W, Huang L, Li Z, Pan D, Fu J, Ge J, Brown M, Zhang P, Jiang P, Wucherpfennig KW, Liu XS. Inhibition of MAN2A1 Enhances the Immune Response to Anti-PD-L1 in Human Tumors. Clin Cancer Res 26(22):5990-6002, 2020. e-Pub 2020. PMID: 32723834.
      23. Gu SS, Wang X, Hu X, Jiang P, Li Z, Traugh N, Bu X, Tang Q, Wang C, Zeng Z, Fu J, Meyer C, Zhang Y, Cejas P, Lim K, Wang J, Zhang W, Tokheim C, Sahu AD, Xing X, Kroger B, Ouyang Z, Long H, Freeman GJ, Brown M, Liu XS. Clonal tracing reveals diverse patterns of response to immune checkpoint blockade. Genome Biol 21(1):263, 2020. e-Pub 2020. PMID: 33059736.
      24. Li Z, Wang B, Gu S, Jiang P, Sahu A, Chen CH, Han T, Shi S, Wang X, Traugh N, Liu H, Liu Y, Wu Q, Brown M, Xiao T, Boland GM, Shirley Liu X. CRISPR Screens Identify Essential Cell Growth Mediators in BRAF Inhibitor-resistant Melanoma. Genomics Proteomics Bioinformatics 18(1):26-40, 2020. e-Pub 2020. PMID: 32413516.
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