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929 results on '"Sukumar, Saraswati"'

1. Discovery and technical validation of high-performance methylated DNA markers for the detection of cervical lesions at risk of malignant progression in low- and middle-income countries

Author

Fackler, Mary Jo, Pleas, Madison, Li, Youran, Soni, Anushri, Xing, Deyin, Cope, Leslie, Ali, Syed, Van Le, Quang, Van Nguyen, Chu, Pham, Han Thi, Duong, Long Minh, Vanden Berg, Eunice, Wadee, Reubina, Michelow, Pamela, Chen, Wenlong Carl, Joffe, Maureen, Fjeldbo, Christina Saetan, Lyng, Heidi, and Sukumar, Saraswati

Published
2024
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2. Perturbed myoepithelial cell differentiation in BRCA mutation carriers and in ductal carcinoma in situ.

Author

Ding, Lina, Su, Ying, Fassl, Anne, Hinohara, Kunihiko, Qiu, Xintao, Harper, Nicholas W, Huh, Sung Jin, Bloushtain-Qimron, Noga, Jovanović, Bojana, Ekram, Muhammad, Zi, Xiaoyuan, Hines, William C, Alečković, Maša, Gil Del Alcazar, Carlos, Caulfield, Ryan J, Bonal, Dennis M, Nguyen, Quang-De, Merino, Vanessa F, Choudhury, Sibgat, Ethington, Gabrielle, Panos, Laura, Grant, Michael, Herlihy, William, Au, Alfred, Rosson, Gedge D, Argani, Pedram, Richardson, Andrea L, Dillon, Deborah, Allred, D Craig, Babski, Kirsten, Kim, Elizabeth Min Hui, McDonnell, Charles H, Wagner, Jon, Rowberry, Ron, Bobolis, Kristie, Kleer, Celina G, Hwang, E Shelley, Blum, Joanne L, Cristea, Simona, Sicinski, Piotr, Fan, Rong, Long, Henry W, Sukumar, Saraswati, Park, So Yeon, Garber, Judy E, Bissell, Mina, Yao, Jun, and Polyak, Kornelia

Subjects
Cell Line, Tumor, Animals, Humans, Mice, Carcinoma, Ductal, Breast, Tumor Suppressor Proteins, BRCA1 Protein, BRCA2 Protein, Transcription Factors, Fluorescent Antibody Technique, Immunohistochemistry, Cell Proliferation, Mutation, Germ-Line Mutation, Female, T Cell Transcription Factor 1, Cell Line, Tumor, Carcinoma, Ductal, Breast, Breast Cancer, Cancer, Prevention, Genetics, 2.1 Biological and endogenous factors, MD Multidisciplinary
Abstract

Myoepithelial cells play key roles in normal mammary gland development and in limiting pre-invasive to invasive breast tumor progression, yet their differentiation and perturbation in ductal carcinoma in situ (DCIS) are poorly understood. Here, we investigated myoepithelial cells in normal breast tissues of BRCA1 and BRCA2 germline mutation carriers and in non-carrier controls, and in sporadic DCIS. We found that in the normal breast of non-carriers, myoepithelial cells frequently co-express the p63 and TCF7 transcription factors and that p63 and TCF7 show overlapping chromatin peaks associated with differentiated myoepithelium-specific genes. In contrast, in normal breast tissues of BRCA1 mutation carriers the frequency of p63+TCF7+ myoepithelial cells is significantly decreased and p63 and TCF7 chromatin peaks do not overlap. These myoepithelial perturbations in normal breast tissues of BRCA1 germline mutation carriers may play a role in their higher risk of breast cancer. The fraction of p63+TCF7+ myoepithelial cells is also significantly decreased in DCIS, which may be associated with invasive progression.

Published
2019

3. Quantitative phosphoproteomic analysis reveals reciprocal activation of receptor tyrosine kinases between cancer epithelial cells and stromal fibroblasts

Author

Wu, Xinyan, Zahari, Muhammad Saddiq, Renuse, Santosh, Sahasrabuddhe, Nandini A, Chaerkady, Raghothama, Kim, Min-Sik, Fackler, Mary Jo, Stampfer, Martha, Gabrielson, Edward, Sukumar, Saraswati, and Pandey, Akhilesh

Subjects
Biochemistry and Cell Biology, Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Biological Sciences, Cancer, Breast Cancer, 2.1 Biological and endogenous factors, Aetiology, Breast cancer, Carcinoma-associated fibroblast, Co-culture, Epithelial cell, Mass spectrometry, Phosphoproteome, SILAC, Signaling crosstalk, Biochemistry & Molecular Biology, Biochemistry and cell biology, Clinical sciences, Medical biochemistry and metabolomics
Abstract

BackgroundCancer-associated fibroblasts (CAFs) are one of the most important components of tumor stroma and play a key role in modulating tumor growth. However, a mechanistic understanding of how CAFs communicate with tumor cells to promote their proliferation and invasion is far from complete. A major reason for this is that most current techniques and model systems do not capture the complexity of signal transduction that occurs between CAFs and tumor cells.MethodsIn this study, we employed a stable isotope labeling with amino acids in cell culture (SILAC) strategy to label invasive breast cancer cells, MDA-MB-231, and breast cancer patient-derived CAF this has already been defined above cells. We used an antibody-based phosphotyrosine peptide enrichment method coupled to LC-MS/MS to catalog and quantify tyrosine phosphorylation-mediated signal transduction events induced by the bidirectional communication between patient-derived CAFs and tumor cells.ResultsWe discovered that distinct signaling events were activated in CAFs and in tumor epithelial cells during the crosstalk between these two cell types. We identified reciprocal activation of a number of receptor tyrosine kinases including EGFR, FGFR1 and EPHA2 induced by this bidirectional communication.ConclusionsOur study not only provides insights into the mechanisms of the interaction between CAFs and tumor cells, but the model system described here could be used as a prototype for analysis of intercellular communication in many different tumor microenvironments.

Published
2018

4. Correction to: Quantitative phosphoproteomic analysis reveals reciprocal activation of receptor tyrosine kinases between cancer epithelial cells and stromal fibroblasts

Author

Wu, Xinyan, Zahari, Muhammad Saddiq, Renuse, Santosh, Sahasrabuddhe, Nandini A, Chaerkady, Raghothama, Kim, Mi-Sik, Fackler, Mary Jo, Stampfer, Martha, Gabrielson, Edward, Sukumar, Saraswati, and Pandey, Akhilesh

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Biochemistry & Molecular Biology, Biochemistry and cell biology, Clinical sciences, Medical biochemistry and metabolomics
Abstract

[This corrects the article DOI: 10.1186/s12014-018-9197-x.].

Published
2018

5. CRYβB2 enhances tumorigenesis through upregulation of nucleolin in triple negative breast cancer

Author

Yan, Yu, Narayan, Athira, Cho, Soonweng, Cheng, Zhiqiang, Liu, Jun O., Zhu, Heng, Wang, Guannan, Wharram, Bryan, Lisok, Ala, Brummet, Mary, Saeki, Harumi, Huang, Tao, Gabrielson, Kathleen, Gabrielson, Edward, Cope, Leslie, Kanaan, Yasmine M., Afsari, Ali, Naab, Tammey, Yfantis, Harris G., Ambs, Stefan, Pomper, Martin G., Sukumar, Saraswati, and Merino, Vanessa F.

Published
2021
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8. High-performance methylated DNA markers for the detection of cervical lesions at risk of malignant progression in low- and middle-income countries

Author

Fackler, Mary Jo, primary, Pleas, Madison, additional, Li, Youran, additional, Soni, Anushri, additional, Xing, Deyin, additional, Cope, Leslie, additional, Ali, Syed, additional, Le, Quang Van, additional, Nguyen, Chu Van, additional, Pham, Han Thi, additional, Duong, Long Minh, additional, Berg, Eunice Van Den, additional, Wadee, Reubina, additional, Michelow, Pamela, additional, Chen, Wenlong Carl, additional, Joffe, Maureen, additional, Fjeldbo, Christina Santen, additional, Lyng, Hiedi, additional, and Sukumar, Saraswati, additional

Published
2023
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16. Erratum to: Modeling precision treatment of breast cancer.

Author

Daemen, Anneleen, Griffith, Obi L, Heiser, Laura M, Wang, Nicholas J, Enache, Oana M, Sanborn, Zachary, Pepin, Francois, Durinck, Steffen, Korkola, James E, Griffith, Malachi, Hur, Joe S, Huh, Nam, Chung, Jongsuk, Cope, Leslie, Fackler, Mary Jo, Umbricht, Christopher, Sukumar, Saraswati, Seth, Pankaj, Sukhatme, Vikas P, Jakkula, Lakshmi R, Lu, Yiling, Mills, Gordon B, Cho, Raymond J, Collisson, Eric A, Van't Veer, Laura J, Spellman, Paul T, and Gray, Joe W

Subjects
Bioinformatics, Environmental Sciences, Biological Sciences, Information and Computing Sciences
Abstract

During the type-setting of the final version of the article [1] some of the additional files were swapped. The correct files are republished in this Erratum.

Published
2015

17. Data from Nanoparticle-Based Combination Therapy Enhances Fulvestrant Efficacy and Overcomes Tumor Resistance in ER-Positive Breast Cancer

Author

Li, Bozhao, primary, Qi, Feilong, primary, Zhu, Fei, primary, Lu, Zefang, primary, Wang, Meiqi, primary, Chu, Tianjiao, primary, Wu, Suying, primary, Wei, Jingyan, primary, Song, Zhenchuan, primary, Sukumar, Saraswati, primary, Zhang, Cheng, primary, Xu, Jiangfei, primary, Li, Suping, primary, and Nie, Guangjun, primary

Published
2023
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18. Supplementary Data from Nanoparticle-Based Combination Therapy Enhances Fulvestrant Efficacy and Overcomes Tumor Resistance in ER-Positive Breast Cancer

Author

Li, Bozhao, primary, Qi, Feilong, primary, Zhu, Fei, primary, Lu, Zefang, primary, Wang, Meiqi, primary, Chu, Tianjiao, primary, Wu, Suying, primary, Wei, Jingyan, primary, Song, Zhenchuan, primary, Sukumar, Saraswati, primary, Zhang, Cheng, primary, Xu, Jiangfei, primary, Li, Suping, primary, and Nie, Guangjun, primary

Published
2023
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19. Modeling precision treatment of breast cancer

Author

Daemen, Anneleen, Griffith, Obi L, Heiser, Laura M, Wang, Nicholas J, Enache, Oana M, Sanborn, Zachary, Pepin, Francois, Durinck, Steffen, Korkola, James E, Griffith, Malachi, Hur, Joe S, Huh, Nam, Chung, Jongsuk, Cope, Leslie, Fackler, Mary, Umbricht, Christopher, Sukumar, Saraswati, Seth, Pankaj, Sukhatme, Vikas P, Jakkula, Lakshmi R, Lu, Yiling, Mills, Gordon B, Cho, Raymond J, Collisson, Eric A, van’t Veer, Laura J, Spellman, Paul T, and Gray, Joe W

Abstract

Abstract Background First-generation molecular profiles for human breast cancers have enabled the identification of features that can predict therapeutic response; however, little is known about how the various data types can best be combined to yield optimal predictors. Collections of breast cancer cell lines mirror many aspects of breast cancer molecular pathobiology, and measurements of their omic and biological therapeutic responses are well-suited for development of strategies to identify the most predictive molecular feature sets. Results We used least squares-support vector machines and random forest algorithms to identify molecular features associated with responses of a collection of 70 breast cancer cell lines to 90 experimental or approved therapeutic agents. The datasets analyzed included measurements of copy number aberrations, mutations, gene and isoform expression, promoter methylation and protein expression. Transcriptional subtype contributed strongly to response predictors for 25% of compounds, and adding other molecular data types improved prediction for 65%. No single molecular dataset consistently out-performed the others, suggesting that therapeutic response is mediated at multiple levels in the genome. Response predictors were developed and applied to TCGA data, and were found to be present in subsets of those patient samples. Conclusions These results suggest that matching patients to treatments based on transcriptional subtype will improve response rates, and inclusion of additional features from other profiling data types may provide additional benefit. Further, we suggest a systems biology strategy for guiding clinical trials so that patient cohorts most likely to respond to new therapies may be more efficiently identified.

Published
2013

21. Nanoparticle-Based Combination Therapy Enhances Fulvestrant Efficacy and Overcomes Tumor Resistance in ER-Positive Breast Cancer

Author

Li, Bozhao, primary, Qi, Feilong, additional, Zhu, Fei, additional, Lu, Zefang, additional, Wang, Meiqi, additional, Chu, Tianjiao, additional, Wu, Suying, additional, Wei, Jingyan, additional, Song, Zhenchuan, additional, Sukumar, Saraswati, additional, Zhang, Cheng, additional, Xu, Jiangfei, additional, Li, Suping, additional, and Nie, Guangjun, additional

Published
2023
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24. Data from Development of an Automated Liquid Biopsy Assay for Methylated Markers in Advanced Breast Cancer

Author

Fackler, Mary Jo, primary, Tulac, Suzana, primary, Venkatesan, Neesha, primary, Aslam, Adam J., primary, de Guzman, Timothy N., primary, Mercado-Rodriguez, Claudia, primary, Cope, Leslie M., primary, Downs, Bradley M., primary, Vali, Abdul Hussain, primary, Ding, Wanjun, primary, Lehman, Jennifer, primary, Denbow, Rita, primary, Reynolds, Jeffrey, primary, Buckley, Morgan E., primary, Visvanathan, Kala, primary, Umbricht, Christopher B., primary, Wolff, Antonio C., primary, Stearns, Vered, primary, Bates, Michael, primary, Lai, Edwin W., primary, and Sukumar, Saraswati, primary

Published
2023
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25. Supplementary Fig S3 from Development of an Automated Liquid Biopsy Assay for Methylated Markers in Advanced Breast Cancer

Author

Fackler, Mary Jo, primary, Tulac, Suzana, primary, Venkatesan, Neesha, primary, Aslam, Adam J., primary, de Guzman, Timothy N., primary, Mercado-Rodriguez, Claudia, primary, Cope, Leslie M., primary, Downs, Bradley M., primary, Vali, Abdul Hussain, primary, Ding, Wanjun, primary, Lehman, Jennifer, primary, Denbow, Rita, primary, Reynolds, Jeffrey, primary, Buckley, Morgan E., primary, Visvanathan, Kala, primary, Umbricht, Christopher B., primary, Wolff, Antonio C., primary, Stearns, Vered, primary, Bates, Michael, primary, Lai, Edwin W., primary, and Sukumar, Saraswati, primary

Published
2023
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26. Supplementary Table S1 from Development of an Automated Liquid Biopsy Assay for Methylated Markers in Advanced Breast Cancer

Author

Fackler, Mary Jo, primary, Tulac, Suzana, primary, Venkatesan, Neesha, primary, Aslam, Adam J., primary, de Guzman, Timothy N., primary, Mercado-Rodriguez, Claudia, primary, Cope, Leslie M., primary, Downs, Bradley M., primary, Vali, Abdul Hussain, primary, Ding, Wanjun, primary, Lehman, Jennifer, primary, Denbow, Rita, primary, Reynolds, Jeffrey, primary, Buckley, Morgan E., primary, Visvanathan, Kala, primary, Umbricht, Christopher B., primary, Wolff, Antonio C., primary, Stearns, Vered, primary, Bates, Michael, primary, Lai, Edwin W., primary, and Sukumar, Saraswati, primary

Published
2023
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28. Data from Gene Methylation and Cytological Atypia in Random Fine-Needle Aspirates for Assessment of Breast Cancer Risk

Author

Stearns, Vered, primary, Fackler, Mary Jo, primary, Hafeez, Sidra, primary, Bujanda, Zoila Lopez, primary, Chatterton, Robert T., primary, Jacobs, Lisa K., primary, Khouri, Nagi F., primary, Ivancic, David, primary, Kenney, Kara, primary, Shehata, Christina, primary, Jeter, Stacie C., primary, Wolfman, Judith A., primary, Zalles, Carola M., primary, Huang, Peng, primary, Khan, Seema A., primary, and Sukumar, Saraswati, primary

Published
2023
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31. Supplementary Figure 1 from Gene Methylation and Cytological Atypia in Random Fine-Needle Aspirates for Assessment of Breast Cancer Risk

Author

Stearns, Vered, primary, Fackler, Mary Jo, primary, Hafeez, Sidra, primary, Bujanda, Zoila Lopez, primary, Chatterton, Robert T., primary, Jacobs, Lisa K., primary, Khouri, Nagi F., primary, Ivancic, David, primary, Kenney, Kara, primary, Shehata, Christina, primary, Jeter, Stacie C., primary, Wolfman, Judith A., primary, Zalles, Carola M., primary, Huang, Peng, primary, Khan, Seema A., primary, and Sukumar, Saraswati, primary

Published
2023
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32. Supplemental Tables 1-3 from Breast Hormone Concentrations in Random Fine-Needle Aspirates of Healthy Women Associate with Cytological Atypia and Gene Methylation

Author

Lee, Oukseub, primary, Heinz, Richard E., primary, Ivancic, David, primary, Muzzio, Miguel, primary, Chatterton, Robert T., primary, Zalles, Carola M., primary, Keeney, Kara, primary, Phan, Belinda, primary, Liu, Dachao, primary, Scholtens, Denise, primary, Fackler, Mary Jo, primary, Stearns, Vered, primary, Sukumar, Saraswati, primary, and Khan, Seema A., primary

Published
2023
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33. Data from HOXB7 Is an ERα Cofactor in the Activation of HER2 and Multiple ER Target Genes Leading to Endocrine Resistance

Author

Jin, Kideok, primary, Park, Sunju, primary, Teo, Wei Wen, primary, Korangath, Preethi, primary, Cho, Sean Soonweng, primary, Yoshida, Takahiro, primary, Győrffy, Balázs, primary, Goswami, Chirayu Pankaj, primary, Nakshatri, Harikrishna, primary, Cruz, Leigh-Ann, primary, Zhou, Weiqiang, primary, Ji, Hongkai, primary, Su, Ying, primary, Ekram, Muhammad, primary, Wu, Zhengsheng, primary, Zhu, Tao, primary, Polyak, Kornelia, primary, and Sukumar, Saraswati, primary

Published
2023
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34. Supplementary Tables S1 to S9 from Gene Methylation and Cytological Atypia in Random Fine-Needle Aspirates for Assessment of Breast Cancer Risk

Author

Stearns, Vered, primary, Fackler, Mary Jo, primary, Hafeez, Sidra, primary, Bujanda, Zoila Lopez, primary, Chatterton, Robert T., primary, Jacobs, Lisa K., primary, Khouri, Nagi F., primary, Ivancic, David, primary, Kenney, Kara, primary, Shehata, Christina, primary, Jeter, Stacie C., primary, Wolfman, Judith A., primary, Zalles, Carola M., primary, Huang, Peng, primary, Khan, Seema A., primary, and Sukumar, Saraswati, primary

Published
2023
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35. Supplementary Materials and Methods; Supplementary Table S1; Supplementary Figures S1-S5 from Improvement of Stability and Efficacy of C16Y Therapeutic Peptide via Molecular Self-Assembly into Tumor-Responsive Nanoformulation

Author

Ding, Yanping, primary, Ji, Tianjiao, primary, Zhao, Ying, primary, Zhang, Yinlong, primary, Zhao, Xiaozheng, primary, Zhao, Ruifang, primary, Lang, Jiayan, primary, Zhao, Xiao, primary, Shi, Jian, primary, Sukumar, Saraswati, primary, and Nie, Guangjun, primary

Published
2023
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36. Data from Breast Hormone Concentrations in Random Fine-Needle Aspirates of Healthy Women Associate with Cytological Atypia and Gene Methylation

Author

Lee, Oukseub, primary, Heinz, Richard E., primary, Ivancic, David, primary, Muzzio, Miguel, primary, Chatterton, Robert T., primary, Zalles, Carola M., primary, Keeney, Kara, primary, Phan, Belinda, primary, Liu, Dachao, primary, Scholtens, Denise, primary, Fackler, Mary Jo, primary, Stearns, Vered, primary, Sukumar, Saraswati, primary, and Khan, Seema A., primary

Published
2023
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37. Supplementary Methods, Figures S1 - S10, Tables S1 - S2 from HOXB7 Is an ERα Cofactor in the Activation of HER2 and Multiple ER Target Genes Leading to Endocrine Resistance

Author

Jin, Kideok, primary, Park, Sunju, primary, Teo, Wei Wen, primary, Korangath, Preethi, primary, Cho, Sean Soonweng, primary, Yoshida, Takahiro, primary, Győrffy, Balázs, primary, Goswami, Chirayu Pankaj, primary, Nakshatri, Harikrishna, primary, Cruz, Leigh-Ann, primary, Zhou, Weiqiang, primary, Ji, Hongkai, primary, Su, Ying, primary, Ekram, Muhammad, primary, Wu, Zhengsheng, primary, Zhu, Tao, primary, Polyak, Kornelia, primary, and Sukumar, Saraswati, primary

Published
2023
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39. Supplementary Figure 1 from Biomarker Modulation following Short-Term Vorinostat in Women with Newly Diagnosed Primary Breast Cancer

Author

Stearns, Vered, primary, Jacobs, Lisa K., primary, Fackler, MaryJo, primary, Tsangaris, Theodore N., primary, Rudek, Michelle A., primary, Higgins, Michaela, primary, Lange, Julie, primary, Cheng, Zandra, primary, Slater, Shannon A., primary, Jeter, Stacie C., primary, Powers, Penny, primary, Briest, Susanne, primary, Chao, Calvin, primary, Yoshizawa, Carl, primary, Sugar, Elizabeth, primary, Espinoza-Delgado, Igor, primary, Sukumar, Saraswati, primary, Gabrielson, Edward, primary, and Davidson, Nancy E., primary

Published
2023
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40. Supplementary Data from Heterogeneity of Breast Cancer Metastases: Comparison of Therapeutic Target Expression and Promoter Methylation Between Primary Tumors and Their Multifocal Metastases

Author

Wu, Julie M., primary, Fackler, Mary Jo, primary, Halushka, Marc K., primary, Molavi, Diana W., primary, Taylor, M. Evangeline, primary, Teo, Wei Wen, primary, Griffin, Constance, primary, Fetting, John, primary, Davidson, Nancy E., primary, De Marzo, Angelo M., primary, Hicks, Jessica L., primary, Chitale, Dhananjay, primary, Ladanyi, Marc, primary, Sukumar, Saraswati, primary, and Argani, Pedram, primary

Published
2023
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41. Supplementary Legend from Biomarker Modulation following Short-Term Vorinostat in Women with Newly Diagnosed Primary Breast Cancer

Author

Stearns, Vered, primary, Jacobs, Lisa K., primary, Fackler, MaryJo, primary, Tsangaris, Theodore N., primary, Rudek, Michelle A., primary, Higgins, Michaela, primary, Lange, Julie, primary, Cheng, Zandra, primary, Slater, Shannon A., primary, Jeter, Stacie C., primary, Powers, Penny, primary, Briest, Susanne, primary, Chao, Calvin, primary, Yoshizawa, Carl, primary, Sugar, Elizabeth, primary, Espinoza-Delgado, Igor, primary, Sukumar, Saraswati, primary, Gabrielson, Edward, primary, and Davidson, Nancy E., primary

Published
2023
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42. Supplementary methods and figures S1-S8 from Targeting Glutamine Metabolism in Breast Cancer with Aminooxyacetate

Author

Korangath, Preethi, primary, Teo, Wei Wen, primary, Sadik, Helen, primary, Han, Liangfeng, primary, Mori, Noriko, primary, Huijts, Charlotte M., primary, Wildes, Flonne, primary, Bharti, Santosh, primary, Zhang, Zhe, primary, Santa-Maria, Cesar A., primary, Tsai, Hualing, primary, Dang, Chi V., primary, Stearns, Vered, primary, Bhujwalla, Zaver M., primary, and Sukumar, Saraswati, primary

Published
2023
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48. Supplementary Table 3 from Genome-wide Methylation Analysis Identifies Genes Specific to Breast Cancer Hormone Receptor Status and Risk of Recurrence

Author

Fackler, Mary Jo, primary, Umbricht, Christopher B., primary, Williams, Danielle, primary, Argani, Pedram, primary, Cruz, Leigh-Ann, primary, Merino, Vanessa F., primary, Teo, Wei Wen, primary, Zhang, Zhe, primary, Huang, Peng, primary, Visvananthan, Kala, primary, Marks, Jeffrey, primary, Ethier, Stephen, primary, Gray, Joe W., primary, Wolff, Antonio C., primary, Cope, Leslie M., primary, and Sukumar, Saraswati, primary

Published
2023
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