Publications by authors named "Jasmine C Huynh"

3 Publications

  • Page 1 of 1

Recent Advances in Targeted Therapies for Advanced Gastrointestinal Malignancies.

Cancers (Basel) 2020 May 6;12(5). Epub 2020 May 6.

Hematology Oncology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.

The treatment of advanced gastrointestinal (GI) cancers has become increasingly molecularly driven. Molecular profiling for HER2 and PD-L1 status is standard for metastatic gastroesophageal (GEJ) cancers to predict benefits from trastuzumab (HER2-targeted therapy) and pembrolizumab (anti-PD-1 therapy), while extended RAS and BRAF testing is standard in metastatic colorectal cancer to predict benefits from epidermal growth factor receptor (EGFR)-targeted therapies. Mismatch repair (MMR) or microsatellite instability (MSI) testing is standard for all advanced GI cancers to predict benefits from pembrolizumab and in metastatic colorectal cancer, nivolumab with or without ipilimumab. Here we review recent seminal trials that have further advanced targeted therapies in these cancers including Poly (adenosine diphosphate-ribose) polymerases (PARP) inhibition in pancreas cancer, BRAF inhibition in colon cancer, and isocitrate dehydrogenase (IDH) and fibroblast growth factor receptor (FGFR) inhibition in biliary tract cancer. Targeted therapies in GI malignancies constitute an integral component of the treatment paradigm in these advanced cancers and have widely established the need for standard molecular profiling to identify candidates.
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http://dx.doi.org/10.3390/cancers12051168DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281439PMC
May 2020

Expression-Based Cell Lineage Analysis in Through a Course-Based Research Experience for Early Undergraduates.

Authors:
John M Olson Cory J Evans Kathy T Ngo Hee Jong Kim Joseph Duy Nguyen Kayla G H Gurley Truc Ta Vijay Patel Lisa Han Khoa T Truong-N Letty Liang Maggie K Chu Hiu Lam Hannah G Ahn Abhik Kumar Banerjee In Young Choi Ross G Kelley Naseem Moridzadeh Awais M Khan Omair Khan Szuyao Lee Elizabeth B Johnson Annie Tigranyan Jay Wang Anand D Gandhi Manish M Padhiar Joseph Hargan Calvopina Kirandeep Sumra Kristy Ou Jessie C Wu Joseph N Dickan Sabrena M Ahmadi Donald N Allen Van Thanh Mai Saif Ansari George Yeh Earl Yoon Kimberly Gon John Y Yu Johnny He Jesse M Zaretsky Noemi E Lee Edward Kuoy Alexander N Patananan Daniel Sitz PhuongThao Tran Minh-Tu Do Samira J Akhave Silverio D Alvarez Bobby Asem Neda Asem Nicole A Azarian Arezou Babaesfahani Ahmad Bahrami Manjeet Bhamra Ragini Bhargava Rakesh Bhatia Subir Bhatia Nicholas Bumacod Jonathan J Caine Thomas A Caldwell Nicole A Calica Elise M Calonico Carman Chan Helen H-L Chan Albert Chang Chiaen Chang Daniel Chang Jennifer S Chang Nauman Charania Jasmine Y Chen Kevin Chen Lu Chen Yuyu Chen Derek J Cheung Jesse J Cheung Jessica J Chew Nicole B Chew Cheng-An Tony Chien Alana M Chin Chee Jia Chin Youngho Cho Man Ting Chou Ke-Huan K Chow Carolyn Chu Derrick M Chu Virginia Chu Katherine Chuang Arunit Singh Chugh Mark R Cubberly Michael Guillermo Daniel Sangita Datta Raj Dhaliwal Jenny Dinh Dhaval Dixit Emmylou Dowling Melinda Feng Christopher M From Daisuke Furukawa Himaja Gaddipati Lilit Gevorgyan Zunera Ghaznavi Tulika Ghosh Jaskaran Gill David J Groves Kalkidan K Gurara Ali R Haghighi Alexandra L Havard Nasser Heyrani Tanya Hioe Kirim Hong Justin J Houman Molly Howland Elaine L Hsia Justin Hsueh Stacy Hu Andrew J Huang Jasmine C Huynh Jenny Huynh Chris Iwuchukwu Michael J Jang An An Jiang Simran Kahlon Pei-Yun Kao Manpreet Kaur Matthew G Keehn Elizabeth J Kim Hannah Kim Michelle J Kim Shawn J Kim Aleksandar Kitich Ross A Kornberg Nicholas G Kouzelos Jane Kuon Bryan Lau Roger K Lau Rona Law Huy D Le Rachael Le Carrou Lee Christina Lee Grace E Lee Kenny Lee Michelle J Lee Regina V Lee Sean H K Lee Sung Kyu Lee Sung-Ling D Lee Yong Jun Lee Megan J Leong David M Li Hao Li Xingfu Liang Eric Lin Michelle M Lin Peter Lin Tiffany Lin Stacey Lu Serena S Luong Jessica S Ma Li Ma Justin N Maghen Sravya Mallam Shivtaj Mann Jason H Melehani Ryan C Miller Nitish Mittal Carmel M Moazez Susie Moon Rameen Moridzadeh Kaley Ngo Hanh H Nguyen Kambria Nguyen Thien H Nguyen Angela W Nieh Isabella Niu Seo-Kyung Oh Jessica R Ong Randi K Oyama Joseph Park Yaelim A Park Kimberly A Passmore Ami Patel Amy A Patel Dhruv Patel Tirth Patel Katherine E Peterson An Huynh Pham Steven V Pham Melissa E Phuphanich Neil D Poria Alexandra Pourzia Victoria Ragland Riki D Ranat Cameron M Rice David Roh Solomon Rojhani Lili Sadri Agafe Saguros Zainab Saifee Manjot Sandhu Brooke Scruggs Lisa M Scully Vanessa Shih Brian A Shin Tamir Sholklapper Harnek Singh Sumedha Singh Sondra L Snyder Katelyn F Sobotka Sae Ho Song Siddharth Sukumar Halley C Sullivan Mark Sy Hande Tan Sara K Taylor Shivani K Thaker Tulsi Thakore Gregory E Tong Jacinda N Tran Jonathan Tran Tuan D Tran Vivi Tran Cindy L Trang Hung G Trinh Peter Trinh Han-Ching H Tseng Ted T Uotani Akram V Uraizee Kent K T Vu Kevin K T Vu Komal Wadhwani Paluk K Walia Rebecca S Wang Shuo Wang Stephanie J Wang Danica D Wiredja Andrew L Wong Daniel Wu Xi Xue Griselda Yanez Yung-Hsuan Yang Zhong Ye Victor W Yee Cynthia Yeh Yue Zhao Xin Zheng Anke Ziegenbalg Jon Alkali Ida Azizkhanian Akash Bhakta Luke Berry Ryen Castillo Sonja Darwish Holly Dickinson Ritika Dutta Rahul Kumar Ghosh Riley Guerin Jonathan Hofman Garrick Iwamoto Sarah Kang Andrew Kim Brian Kim Hanwool Kim Kristine Kim Suji Kim Julie Ko Michael Koenig Alejandro LaRiviere Clifton Lee Jiwon Lee Brandon Lung Max Mittelman Mark Murata Yujin Park Daniel Rothberg Ben Sprung-Keyser Kunal Thaker Vivian Yip Paul Picard Francie Diep Nikki Villarasa Volker Hartenstein Casey Shapiro Marc Levis-Fitzgerald Leslie Jaworski David Loppato Ira E Clark Utpal Banerjee

G3 (Bethesda) 2019 11 5;9(11):3791-3800. Epub 2019 Nov 5.

Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, CA 90095

A variety of genetic techniques have been devised to determine cell lineage relationships during tissue development. Some of these systems monitor cell lineages spatially and/or temporally without regard to gene expression by the cells, whereas others correlate gene expression with the lineage under study. The AL4 echnique for eal-time nd lonal xpression (G-TRACE) system allows for rapid, fluorescent protein-based visualization of both current and past GAL4 expression patterns and is therefore amenable to genome-wide expression-based lineage screens. Here we describe the results from such a screen, performed by undergraduate students of the University of California, Los Angeles (UCLA) Undergraduate Research Consortium for Functional Genomics (URCFG) and high school summer scholars as part of a discovery-based education program. The results of the screen, which reveal novel expression-based lineage patterns within the brain, the imaginal disc epithelia, and the hematopoietic lymph gland, have been compiled into the G-TRACE Expression Database (GED), an online resource for use by the research community. The impact of this discovery-based research experience on student learning gains was assessed independently and shown to be greater than that of similar programs conducted elsewhere. Furthermore, students participating in the URCFG showed considerably higher STEM retention rates than UCLA STEM students that did not participate in the URCFG, as well as STEM students nationwide.
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http://dx.doi.org/10.1534/g3.119.400541DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6829132PMC
November 2019

Organoid Profiling Identifies Common Responders to Chemotherapy in Pancreatic Cancer.

Cancer Discov 2018 09 31;8(9):1112-1129. Epub 2018 May 31.

Cold Spring Harbor Laboratory, Cold Spring Harbor, New York.

Pancreatic cancer is the most lethal common solid malignancy. Systemic therapies are often ineffective, and predictive biomarkers to guide treatment are urgently needed. We generated a pancreatic cancer patient-derived organoid (PDO) library that recapitulates the mutational spectrum and transcriptional subtypes of primary pancreatic cancer. New driver oncogenes were nominated and transcriptomic analyses revealed unique clusters. PDOs exhibited heterogeneous responses to standard-of-care chemotherapeutics and investigational agents. In a case study manner, we found that PDO therapeutic profiles paralleled patient outcomes and that PDOs enabled longitudinal assessment of chemosensitivity and evaluation of synchronous metastases. We derived organoid-based gene expression signatures of chemosensitivity that predicted improved responses for many patients to chemotherapy in both the adjuvant and advanced disease settings. Finally, we nominated alternative treatment strategies for chemorefractory PDOs using targeted agent therapeutic profiling. We propose that combined molecular and therapeutic profiling of PDOs may predict clinical response and enable prospective therapeutic selection. New approaches to prioritize treatment strategies are urgently needed to improve survival and quality of life for patients with pancreatic cancer. Combined genomic, transcriptomic, and therapeutic profiling of PDOs can identify molecular and functional subtypes of pancreatic cancer, predict therapeutic responses, and facilitate precision medicine for patients with pancreatic cancer. .
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http://dx.doi.org/10.1158/2159-8290.CD-18-0349DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6125219PMC
September 2018