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2. Correction to: Lenvatinib inhibits the growth of gastric cancer patient‑derived xenografts generated from a heterogeneous populations

Author

Karalis, John D., Yoon, Lynn Y., Hammer, Suntrea T. G., Hong, Changjin, Zhu, Min, Nassour, Ibrahim, Ju, Michelle R., Xiao, Shu, Castro‑Dubon, Esther C., Agrawal, Deepak, Suarez, Jorge, Reznik, Scott I., Mansour, John C., Polanco, Patricio M., Yopp, Adam C., Zeh III, Herbert J., Hwang, Tae Hyun, Zhu, Hao, Porembka, Matthew R., and Wang, Sam C.

Published
2024
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3. Holotomography

Author

Kim, Geon, Hugonnet, Herve, Kim, Kyoohyun, Lee, Jae-Hyuk, Lee, Sung Sik, Ha, Jeongmin, Lee, Chungha, Park, Hoewon, Yoon, Ki-Jun, Shin, Yongdae, Csucs, Gabor, Hitchcock, Ian, Mackinder, Luke, Kim, Ji Hyang, Hwang, Tae Hyun, Lee, Seongsoo, O’Toole, Peter, Koo, Bon-Kyoung, Guck, Jochen, and Park, YongKeun

Published
2024
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4. Interaction of a priori Anatomic Knowledge with Self-Supervised Contrastive Learning in Cardiac Magnetic Resonance Imaging

Author

Nakashima, Makiya, Jang, Inyeop, Basnet, Ramesh, Benovoy, Mitchel, Tang, W. H. Wilson, Nguyen, Christopher, Kwon, Deborah, Hwang, Tae Hyun, and Chen, David

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Training deep learning models on cardiac magnetic resonance imaging (CMR) can be a challenge due to the small amount of expert generated labels and inherent complexity of data source. Self-supervised contrastive learning (SSCL) has recently been shown to boost performance in several medical imaging tasks. However, it is unclear how much the pre-trained representation reflects the primary organ of interest compared to spurious surrounding tissue. In this work, we evaluate the optimal method of incorporating prior knowledge of anatomy into a SSCL training paradigm. Specifically, we evaluate using a segmentation network to explicitly local the heart in CMR images, followed by SSCL pretraining in multiple diagnostic tasks. We find that using a priori knowledge of anatomy can greatly improve the downstream diagnostic performance. Furthermore, SSCL pre-training with in-domain data generally improved downstream performance and more human-like saliency compared to end-to-end training and ImageNet pre-trained networks. However, introducing anatomic knowledge to pre-training generally does not have significant impact., Comment: Under review at Machine Learning in Healthcare

Published
2022

7. Diverse AR Gene Rearrangements Mediate Resistance to Androgen Receptor Inhibitors in Metastatic Prostate Cancer

Author

Li, Yingming, Yang, Rendong, Henzler, Christine M, Ho, Yeung, Passow, Courtney, Auch, Benjamin, Carreira, Suzanne, Rodrigues, Daniel Nava, Bertan, Claudia, Hwang, Tae Hyun, Quigley, David A, Dang, Ha X, Morrissey, Colm, Fraser, Michael, Plymate, Stephen R, Maher, Christopher A, Feng, Felix Y, de Bono, Johann S, and Dehm, Scott M

Subjects
Urologic Diseases, Prostate Cancer, Aging, Biotechnology, Cancer, Genetics, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Androgen Receptor Antagonists, Benzamides, Biomarkers, Tumor, Cell Line, Tumor, Drug Resistance, Neoplasm, Gene Rearrangement, Humans, Male, Neoplasm Metastasis, Nitriles, Phenylthiohydantoin, Prospective Studies, Prostatic Neoplasms, Castration-Resistant, Receptors, Androgen, Whole Genome Sequencing, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

PurposeProstate cancer is the second leading cause of male cancer deaths. Castration-resistant prostate cancer (CRPC) is a lethal stage of the disease that emerges when endocrine therapies are no longer effective at suppressing activity of the androgen receptor (AR) transcription factor. The purpose of this study was to identify genomic mechanisms that contribute to the development and progression of CRPC.Experimental designWe used whole-genome and targeted DNA-sequencing approaches to identify mechanisms underlying CRPC in an aggregate cohort of 272 prostate cancer patients. We analyzed structural rearrangements at the genome-wide level and carried out a detailed structural rearrangement analysis of the AR locus. We used genome engineering to perform experimental modeling of AR gene rearrangements and long-read RNA sequencing to analyze effects on expression of AR and truncated AR variants (AR-V).ResultsAR was among the most frequently rearranged genes in CRPC tumors. AR gene rearrangements promoted expression of diverse AR-V species. AR gene rearrangements occurring in the context of AR amplification correlated with AR overexpression. Cell lines with experimentally derived AR gene rearrangements displayed high expression of tumor-specific AR-Vs and were resistant to endocrine therapies, including the AR antagonist enzalutamide.ConclusionsAR gene rearrangements are an important mechanism of resistance to endocrine therapies in CRPC.

Published
2020

8. Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks

Author

Xu, Hongming and Hwang, Tae Hyun

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

This paper summarizes our method and validation results for the ISIC Challenge 2018 - Skin Lesion Analysis Towards Melanoma Detection - Task 1: Lesion Segmentation, Comment: 4 pages, ISIC Challenge 2018

Published
2018

9. Bayesian Semi-nonnegative Tri-matrix Factorization to Identify Pathways Associated with Cancer Types

Author

Park, Sunho and Hwang, Tae Hyun

Subjects
Statistics - Machine Learning
Abstract

Identifying altered pathways that are associated with specific cancer types can potentially bring a significant impact on cancer patient treatment. Accurate identification of such key altered pathways information can be used to develop novel therapeutic agents as well as to understand the molecular mechanisms of various types of cancers better. Tri-matrix factorization is an efficient tool to learn associations between two different entities (e.g., cancer types and pathways in our case) from data. To successfully apply tri-matrix factorization methods to biomedical problems, biological prior knowledge such as pathway databases or protein-protein interaction (PPI) networks, should be taken into account in the factorization model. However, it is not straightforward in the Bayesian setting even though Bayesian methods are more appealing than point estimate methods, such as a maximum likelihood or a maximum posterior method, in the sense that they calculate distributions over variables and are robust against overfitting. We propose a Bayesian (semi-)nonnegative matrix factorization model for human cancer genomic data, where the biological prior knowledge represented by a pathway database and a PPI network is taken into account in the factorization model through a finite dependent Beta-Bernoulli prior. We tested our method on The Cancer Genome Atlas (TCGA) dataset and found that the pathways identified by our method can be used as a prognostic biomarkers for patient subgroup identification., Comment: This work has been accepted to "ML4H: Machine Learning for Health" workshop at NIPS 2017 (https://ml4health.github.io/2017/)

Published
2017

11. Lenvatinib inhibits the growth of gastric cancer patient-derived xenografts generated from a heterogeneous population

Author

Karalis, John D., Yoon, Lynn Y., Hammer, Suntrea T. G., Hong, Changjin, Zhu, Min, Nassour, Ibrahim, Ju, Michelle R., Xiao, Shu, Castro-Dubon, Esther C., Agrawal, Deepak, Suarez, Jorge, Reznik, Scott I., Mansour, John C., Polanco, Patricio M., Yopp, Adam C., Zeh, III, Herbert J., Hwang, Tae Hyun, Zhu, Hao, Porembka, Matthew R., and Wang, Sam C.

Published
2022
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13. MP77-12 ARTIFICIAL INTELLIGENCE-BASED MORPHOLOGIC MODEL FOR PREDICTION OF IMMUNOTHERAPY RESPONSE IN LOCALLY ADVANCED AND METASTATIC UROTHELIAL CARCINOMA OF THE BLADDER

Author

Liao, Ross S., primary, Nair, Monica, additional, Jain, Parag, additional, Xie, Chensu, additional, Muhammad, Hassan, additional, Huang, Wei, additional, Basu, Hirak, additional, Wilding, George, additional, Roy, Rajat, additional, Diaz-Montero, Claudia Marcela, additional, Hwang, Tae Hyun, additional, Dawsey, Scott, additional, Nguyen, Jane, additional, Klein, Eric, additional, Gupta, Shilpa, additional, and Mian, Omar, additional

Published
2024
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14. Single cell RNA sequencing of AML initiating cells reveals RNA-based evolution during disease progression

Author

Stetson, L. C., Balasubramanian, Dheepa, Ribeiro, Susan Pereira, Stefan, Tammy, Gupta, Kalpana, Xu, Xuan, Fourati, Slim, Roe, Anne, Jackson, Zachary, Schauner, Robert, Sharma, Ashish, Tamilselvan, Banumathi, Li, Samuel, de Lima, Marcos, Hwang, Tae Hyun, Balderas, Robert, Saunthararajah, Yogen, Maciejewski, Jaroslaw, LaFramboise, Thomas, Barnholtz-Sloan, Jill S., Sekaly, Rafick-Pierre, and Wald, David N.

Published
2021
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22. Integrative Spatial Analysis of H&E and IHC Images Identifies Prognostic Immune Subtypes Correlated with Progression-Free Survival in HPV-Related Oropharyngeal Squamous Cell Carcinoma

Author

Nakkireddy, Sumanth Reddy, primary, Jang, Inyeop, additional, Rivera, Michael, additional, Garcia, Joaquin J., additional, Bartemes, Kathleen R., additional, Routman, David M., additional, Ma, Daniel J., additional, Van Abel, Katie M., additional, and Hwang, Tae Hyun, additional

Published
2023
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24. HSD3B1(1245A>C) variant regulates dueling abiraterone metabolite effects in prostate cancer

Author

Alyamani, Mohammad, Emamekhoo, Hamid, Park, Sunho, Taylor, Jennifer, Almassi, Nima, Upadhyay, Sunil, Tyler, Allison, Berk, Michael P., Hu, Bo, Hwang, Tae Hyun, Figg, William Douglas, Peer, Cody J., Chien, Caly, Koshkin, Vadim S., Mendiratta, Prateek, Grivas, Petros, Rini, Brian, Garcia, Jorge, Auchus, Richard J., and Sharifi, Nima

Subjects
Abiraterone -- Research -- Health aspects -- Dosage and administration, Prostate cancer -- Research -- Risk factors -- Drug therapy -- Genetic aspects -- Patient outcomes, Androgens -- Research -- Physiological aspects, Health care industry
Abstract

BACKGROUND. A common germline variant in HSD3B1(1245A>C) encodes for a hyperactive 3[beta]-hydroxysteroid dehydrogenase 1 (3[beta]HSD1) missense that increases metabolic flux from extragonadal precursor steroids to DHT synthesis in prostate cancer. Enabling of extragonadal DHT synthesis by HSD3B1(1245C) predicts for more rapid clinical resistance to castration and sensitivity to extragonadal androgen synthesis inhibition. HSD3B1(1245C) thus appears to define a subgroup of patients who benefit from blocking extragonadal androgens. However, abiraterone, which is administered to block extragonadal androgens, is a steroidal drug that is metabolized by 3[beta]HSD1 to multiple steroidal metabolites, including 3-keto-5[alpha]- abiraterone, which stimulates the androgen receptor. Our objective was to determine if HSD3B1(1245C) inheritance is associated with increased 3-keto-5[alpha]-abiraterone synthesis in patients. METHODS. First, we characterized the pharmacokinetics of 7 steroidal abiraterone metabolites in 15 healthy volunteers. Second, we determined the association between serum 3-keto-5[alpha]-abiraterone levels and HSD3B1 genotype in 30 patients treated with abiraterone acetate (AA) after correcting for the determined pharmacokinetics. RESULTS. Patients who inherit 0, 1, and 2 copies of HSD3B1(1245C) have a stepwise increase in normalized 3-keto- 5[alpha]-abiraterone (0.04 ng/ml, 2.60 ng/ml, and 2.70 ng/ml, respectively; P = 0.002). CONCLUSION. Increased generation of 3-keto-5[alpha]-abiraterone in patients with HSD3B1(1245C) might partially negate abiraterone benefits in these patients who are otherwise more likely to benefit from CYP17A1 inhibition. FUNDING. Prostate Cancer Foundation Challenge Award, National Cancer Institute., Introduction Prostate cancer progression is highly dependent on androgen receptor (AR) stimulation by testosterone and its more potent 5[alpha]-reduced metabolite, 5[alpha]-dihydrotestosterone (DHT) (1, 2). The long-standing standard-of-care treatment for metastatic [...]

Published
2018
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26. Data from Sequential Single-Cell Transcriptional and Protein Marker Profiling Reveals TIGIT as a Marker of CD19 CAR-T Cell Dysfunction in Patients with Non-Hodgkin Lymphoma

Author

Jackson, Zachary, primary, Hong, Changjin, primary, Schauner, Robert, primary, Dropulic, Boro, primary, Caimi, Paolo F., primary, de Lima, Marcos, primary, Giraudo, Maria Florencia, primary, Gupta, Kalpana, primary, Reese, Jane S., primary, Hwang, Tae Hyun, primary, and Wald, David N., primary

Published
2023
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27. Supplementary Figure from Sequential Single-Cell Transcriptional and Protein Marker Profiling Reveals TIGIT as a Marker of CD19 CAR-T Cell Dysfunction in Patients with Non-Hodgkin Lymphoma

Author

Jackson, Zachary, primary, Hong, Changjin, primary, Schauner, Robert, primary, Dropulic, Boro, primary, Caimi, Paolo F., primary, de Lima, Marcos, primary, Giraudo, Maria Florencia, primary, Gupta, Kalpana, primary, Reese, Jane S., primary, Hwang, Tae Hyun, primary, and Wald, David N., primary

Published
2023
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29. Abstract 4638: Integrative spatial analysis of paired IHC and H&E images identifies Foxp3 enriched tumor-infiltrating lymphocytes associated with disease-free survival in human papillomavirus (HPV)-related oropharyngeal squamous cell carcinoma

Author

Nakkireddy, Sumanth Reddy, primary, Jang, Inyeop, additional, Kim, Minji, additional, Yin, Linda X., additional, Rivera, Michael, additional, MD, Joaquin J. Garcia, additional, Bartemes, Kathleen R., additional, Routman, David M., additional, Moore, Eric J., additional, Ma, Daniel J., additional, Van Abel, Kathryn M., additional, and Hwang, Tae Hyun, additional

Published
2023
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31. Supplementary Data from Sequential Single-Cell Transcriptional and Protein Marker Profiling Reveals TIGIT as a Marker of CD19 CAR-T Cell Dysfunction in Patients with Non-Hodgkin Lymphoma

Author

Jackson, Zachary, primary, Hong, Changjin, primary, Schauner, Robert, primary, Dropulic, Boro, primary, Caimi, Paolo F., primary, de Lima, Marcos, primary, Giraudo, Maria Florencia, primary, Gupta, Kalpana, primary, Reese, Jane S., primary, Hwang, Tae Hyun, primary, and Wald, David N., primary

Published
2023
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34. Data from Inhibition of Discoidin Domain Receptor 1 Reduces Collagen-mediated Tumorigenicity in Pancreatic Ductal Adenocarcinoma

Author

Aguilera, Kristina Y., primary, Huang, Huocong, primary, Du, Wenting, primary, Hagopian, Moriah M., primary, Wang, Zhen, primary, Hinz, Stefan, primary, Hwang, Tae Hyun, primary, Wang, Huamin, primary, Fleming, Jason B., primary, Castrillon, Diego H., primary, Ren, Xiaomei, primary, Ding, Ke, primary, and Brekken, Rolf A., primary

Published
2023
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35. Data from Myeloid-Derived Suppressor Cell Subsets Drive Glioblastoma Growth in a Sex-Specific Manner

Author

Bayik, Defne, primary, Zhou, Yadi, primary, Park, Chihyun, primary, Hong, Changjin, primary, Vail, Daniel, primary, Silver, Daniel J., primary, Lauko, Adam, primary, Roversi, Gustavo, primary, Watson, Dionysios C., primary, Lo, Alice, primary, Alban, Tyler J., primary, McGraw, Mary, primary, Sorensen, Mia, primary, Grabowski, Matthew M., primary, Otvos, Balint, primary, Vogelbaum, Michael A., primary, Horbinski, Craig, primary, Kristensen, Bjarne Winther, primary, Khalil, Ahmad M., primary, Hwang, Tae Hyun, primary, Ahluwalia, Manmeet S., primary, Cheng, Feixiong, primary, and Lathia, Justin D., primary

Published
2023
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36. Supplementary Table 1 from Myeloid-Derived Suppressor Cell Subsets Drive Glioblastoma Growth in a Sex-Specific Manner

Author

Bayik, Defne, primary, Zhou, Yadi, primary, Park, Chihyun, primary, Hong, Changjin, primary, Vail, Daniel, primary, Silver, Daniel J., primary, Lauko, Adam, primary, Roversi, Gustavo, primary, Watson, Dionysios C., primary, Lo, Alice, primary, Alban, Tyler J., primary, McGraw, Mary, primary, Sorensen, Mia, primary, Grabowski, Matthew M., primary, Otvos, Balint, primary, Vogelbaum, Michael A., primary, Horbinski, Craig, primary, Kristensen, Bjarne Winther, primary, Khalil, Ahmad M., primary, Hwang, Tae Hyun, primary, Ahluwalia, Manmeet S., primary, Cheng, Feixiong, primary, and Lathia, Justin D., primary

Published
2023
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37. Supplementary Figures 1-5 from Inhibition of Discoidin Domain Receptor 1 Reduces Collagen-mediated Tumorigenicity in Pancreatic Ductal Adenocarcinoma

Author

Aguilera, Kristina Y., primary, Huang, Huocong, primary, Du, Wenting, primary, Hagopian, Moriah M., primary, Wang, Zhen, primary, Hinz, Stefan, primary, Hwang, Tae Hyun, primary, Wang, Huamin, primary, Fleming, Jason B., primary, Castrillon, Diego H., primary, Ren, Xiaomei, primary, Ding, Ke, primary, and Brekken, Rolf A., primary

Published
2023
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38. Supplementary Figures from Myeloid-Derived Suppressor Cell Subsets Drive Glioblastoma Growth in a Sex-Specific Manner

Author

Bayik, Defne, primary, Zhou, Yadi, primary, Park, Chihyun, primary, Hong, Changjin, primary, Vail, Daniel, primary, Silver, Daniel J., primary, Lauko, Adam, primary, Roversi, Gustavo, primary, Watson, Dionysios C., primary, Lo, Alice, primary, Alban, Tyler J., primary, McGraw, Mary, primary, Sorensen, Mia, primary, Grabowski, Matthew M., primary, Otvos, Balint, primary, Vogelbaum, Michael A., primary, Horbinski, Craig, primary, Kristensen, Bjarne Winther, primary, Khalil, Ahmad M., primary, Hwang, Tae Hyun, primary, Ahluwalia, Manmeet S., primary, Cheng, Feixiong, primary, and Lathia, Justin D., primary

Published
2023
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39. Supplementary Data 2 from Diverse AR Gene Rearrangements Mediate Resistance to Androgen Receptor Inhibitors in Metastatic Prostate Cancer

Author

Li, Yingming, primary, Yang, Rendong, primary, Henzler, Christine M., primary, Ho, Yeung, primary, Passow, Courtney, primary, Auch, Benjamin, primary, Carreira, Suzanne, primary, Nava Rodrigues, Daniel, primary, Bertan, Claudia, primary, Hwang, Tae Hyun, primary, Quigley, David A., primary, Dang, Ha X., primary, Morrissey, Colm, primary, Fraser, Michael, primary, Plymate, Stephen R., primary, Maher, Christopher A., primary, Feng, Felix Y., primary, de Bono, Johann S., primary, and Dehm, Scott M., primary

Published
2023
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40. Data from PROTOCADHERIN 7 Acts through SET and PP2A to Potentiate MAPK Signaling by EGFR and KRAS during Lung Tumorigenesis

Author

Zhou, Xiaorong, primary, Updegraff, Barrett L., primary, Guo, Yabin, primary, Peyton, Michael, primary, Girard, Luc, primary, Larsen, Jill E., primary, Xie, Xian-Jin, primary, Zhou, Yunyun, primary, Hwang, Tae Hyun, primary, Xie, Yang, primary, Rodriguez-Canales, Jaime, primary, Villalobos, Pamela, primary, Behrens, Carmen, primary, Wistuba, Ignacio I., primary, Minna, John D., primary, and O'Donnell, Kathryn A., primary

Published
2023
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41. Supplementary Data 4 from Diverse AR Gene Rearrangements Mediate Resistance to Androgen Receptor Inhibitors in Metastatic Prostate Cancer

Author

Li, Yingming, primary, Yang, Rendong, primary, Henzler, Christine M., primary, Ho, Yeung, primary, Passow, Courtney, primary, Auch, Benjamin, primary, Carreira, Suzanne, primary, Nava Rodrigues, Daniel, primary, Bertan, Claudia, primary, Hwang, Tae Hyun, primary, Quigley, David A., primary, Dang, Ha X., primary, Morrissey, Colm, primary, Fraser, Michael, primary, Plymate, Stephen R., primary, Maher, Christopher A., primary, Feng, Felix Y., primary, de Bono, Johann S., primary, and Dehm, Scott M., primary

Published
2023
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42. Supplementary Table S6 from PROTOCADHERIN 7 Acts through SET and PP2A to Potentiate MAPK Signaling by EGFR and KRAS during Lung Tumorigenesis

Author

Zhou, Xiaorong, primary, Updegraff, Barrett L., primary, Guo, Yabin, primary, Peyton, Michael, primary, Girard, Luc, primary, Larsen, Jill E., primary, Xie, Xian-Jin, primary, Zhou, Yunyun, primary, Hwang, Tae Hyun, primary, Xie, Yang, primary, Rodriguez-Canales, Jaime, primary, Villalobos, Pamela, primary, Behrens, Carmen, primary, Wistuba, Ignacio I., primary, Minna, John D., primary, and O'Donnell, Kathryn A., primary

Published
2023
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43. Data from Diverse AR Gene Rearrangements Mediate Resistance to Androgen Receptor Inhibitors in Metastatic Prostate Cancer

Author

Li, Yingming, primary, Yang, Rendong, primary, Henzler, Christine M., primary, Ho, Yeung, primary, Passow, Courtney, primary, Auch, Benjamin, primary, Carreira, Suzanne, primary, Nava Rodrigues, Daniel, primary, Bertan, Claudia, primary, Hwang, Tae Hyun, primary, Quigley, David A., primary, Dang, Ha X., primary, Morrissey, Colm, primary, Fraser, Michael, primary, Plymate, Stephen R., primary, Maher, Christopher A., primary, Feng, Felix Y., primary, de Bono, Johann S., primary, and Dehm, Scott M., primary

Published
2023
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44. Supplementary Table 3 from Hispanic/Latino Patients with Gastric Adenocarcinoma Have Distinct Molecular Profiles Including a High Rate of Germline CDH1 Variants

Author

Wang, Sam C., primary, Yeu, Yunku, primary, Hammer, Suntrea T.G., primary, Xiao, Shu, primary, Zhu, Min, primary, Hong, Changjin, primary, Clemenceau, Jean R., primary, Yoon, Lynn Y., primary, Nassour, Ibrahim, primary, Shen, Jeanne, primary, Agarwal, Deepak, primary, Reznik, Scott I., primary, Mansour, John C., primary, Yopp, Adam C., primary, Zhu, Hao, primary, Hwang, Tae Hyun, primary, and Porembka, Matthew R., primary

Published
2023
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45. Supplementary Data 3 from Diverse AR Gene Rearrangements Mediate Resistance to Androgen Receptor Inhibitors in Metastatic Prostate Cancer

Author

Li, Yingming, primary, Yang, Rendong, primary, Henzler, Christine M., primary, Ho, Yeung, primary, Passow, Courtney, primary, Auch, Benjamin, primary, Carreira, Suzanne, primary, Nava Rodrigues, Daniel, primary, Bertan, Claudia, primary, Hwang, Tae Hyun, primary, Quigley, David A., primary, Dang, Ha X., primary, Morrissey, Colm, primary, Fraser, Michael, primary, Plymate, Stephen R., primary, Maher, Christopher A., primary, Feng, Felix Y., primary, de Bono, Johann S., primary, and Dehm, Scott M., primary

Published
2023
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46. Data from Hispanic/Latino Patients with Gastric Adenocarcinoma Have Distinct Molecular Profiles Including a High Rate of Germline CDH1 Variants

Author

Wang, Sam C., primary, Yeu, Yunku, primary, Hammer, Suntrea T.G., primary, Xiao, Shu, primary, Zhu, Min, primary, Hong, Changjin, primary, Clemenceau, Jean R., primary, Yoon, Lynn Y., primary, Nassour, Ibrahim, primary, Shen, Jeanne, primary, Agarwal, Deepak, primary, Reznik, Scott I., primary, Mansour, John C., primary, Yopp, Adam C., primary, Zhu, Hao, primary, Hwang, Tae Hyun, primary, and Porembka, Matthew R., primary

Published
2023
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47. Supplementary Figure 3 from Hispanic/Latino Patients with Gastric Adenocarcinoma Have Distinct Molecular Profiles Including a High Rate of Germline CDH1 Variants

Author

Wang, Sam C., primary, Yeu, Yunku, primary, Hammer, Suntrea T.G., primary, Xiao, Shu, primary, Zhu, Min, primary, Hong, Changjin, primary, Clemenceau, Jean R., primary, Yoon, Lynn Y., primary, Nassour, Ibrahim, primary, Shen, Jeanne, primary, Agarwal, Deepak, primary, Reznik, Scott I., primary, Mansour, John C., primary, Yopp, Adam C., primary, Zhu, Hao, primary, Hwang, Tae Hyun, primary, and Porembka, Matthew R., primary

Published
2023
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48. Supplementary Figure 1 from Hispanic/Latino Patients with Gastric Adenocarcinoma Have Distinct Molecular Profiles Including a High Rate of Germline CDH1 Variants

Author

Wang, Sam C., primary, Yeu, Yunku, primary, Hammer, Suntrea T.G., primary, Xiao, Shu, primary, Zhu, Min, primary, Hong, Changjin, primary, Clemenceau, Jean R., primary, Yoon, Lynn Y., primary, Nassour, Ibrahim, primary, Shen, Jeanne, primary, Agarwal, Deepak, primary, Reznik, Scott I., primary, Mansour, John C., primary, Yopp, Adam C., primary, Zhu, Hao, primary, Hwang, Tae Hyun, primary, and Porembka, Matthew R., primary

Published
2023
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49. Supplementary Figure 5 from Hispanic/Latino Patients with Gastric Adenocarcinoma Have Distinct Molecular Profiles Including a High Rate of Germline CDH1 Variants

Author

Wang, Sam C., primary, Yeu, Yunku, primary, Hammer, Suntrea T.G., primary, Xiao, Shu, primary, Zhu, Min, primary, Hong, Changjin, primary, Clemenceau, Jean R., primary, Yoon, Lynn Y., primary, Nassour, Ibrahim, primary, Shen, Jeanne, primary, Agarwal, Deepak, primary, Reznik, Scott I., primary, Mansour, John C., primary, Yopp, Adam C., primary, Zhu, Hao, primary, Hwang, Tae Hyun, primary, and Porembka, Matthew R., primary

Published
2023
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50. Supplementary Data from Hispanic/Latino Patients with Gastric Adenocarcinoma Have Distinct Molecular Profiles Including a High Rate of Germline CDH1 Variants

Author

Wang, Sam C., primary, Yeu, Yunku, primary, Hammer, Suntrea T.G., primary, Xiao, Shu, primary, Zhu, Min, primary, Hong, Changjin, primary, Clemenceau, Jean R., primary, Yoon, Lynn Y., primary, Nassour, Ibrahim, primary, Shen, Jeanne, primary, Agarwal, Deepak, primary, Reznik, Scott I., primary, Mansour, John C., primary, Yopp, Adam C., primary, Zhu, Hao, primary, Hwang, Tae Hyun, primary, and Porembka, Matthew R., primary

Published
2023
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