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Full-Text Articles in Medicine and Health Sciences
Predictive Biomarkers For 5-Fluorouracil And Oxaliplatin-Based Chemotherapy In Gastric Cancers Via Profiling Of Patient-Derived Xenografts., Deukchae Na, Jeesoo Chae, Sung-Yup Cho, Wonyoung Kang, Ahra Lee, Seoyeon Min, Jinjoo Kang, Min Jung Kim, Jaeyong Choi, Woochan Lee, Dongjin Shin, Ahrum Min, Yu-Jin Kim, Kyung-Hun Lee, Tae-Yong Kim, Yun-Suhk Suh, Seong-Ho Kong, Hyuk-Joon Lee, Woo-Ho Kim, Hansoo Park, Seock-Ah Im, Han-Kwang Yang, Charles Lee, Jong-Il Kim
Predictive Biomarkers For 5-Fluorouracil And Oxaliplatin-Based Chemotherapy In Gastric Cancers Via Profiling Of Patient-Derived Xenografts., Deukchae Na, Jeesoo Chae, Sung-Yup Cho, Wonyoung Kang, Ahra Lee, Seoyeon Min, Jinjoo Kang, Min Jung Kim, Jaeyong Choi, Woochan Lee, Dongjin Shin, Ahrum Min, Yu-Jin Kim, Kyung-Hun Lee, Tae-Yong Kim, Yun-Suhk Suh, Seong-Ho Kong, Hyuk-Joon Lee, Woo-Ho Kim, Hansoo Park, Seock-Ah Im, Han-Kwang Yang, Charles Lee, Jong-Il Kim
Faculty Research 2021
Gastric cancer (GC) is commonly treated by chemotherapy using 5-fluorouracil (5-FU) derivatives and platinum combination, but predictive biomarker remains lacking. We develop patient-derived xenografts (PDXs) from 31 GC patients and treat with a combination of 5-FU and oxaliplatin, to determine biomarkers associated with responsiveness. When the PDXs are defined as either responders or non-responders according to tumor volume change after treatment, the responsiveness of PDXs is significantly consistent with the respective clinical outcomes of the patients. An integrative genomic and transcriptomic analysis of PDXs reveals that pathways associated with cell-to-cell and cell-to-extracellular matrix interactions enriched among the non-responders in both …
Long Non-Coding Rnas And Their Targets As Potential Biomarkers In Breast Cancer., Maryam Khalid, Rehan Zafar Paracha, Maryum Nisar, Sumaira Malik, Salma Tariq, Iqra Arshad, Amnah Siddiqa, Zamir Hussain, Jamil Ahmad, Amjad Ali
Long Non-Coding Rnas And Their Targets As Potential Biomarkers In Breast Cancer., Maryam Khalid, Rehan Zafar Paracha, Maryum Nisar, Sumaira Malik, Salma Tariq, Iqra Arshad, Amnah Siddiqa, Zamir Hussain, Jamil Ahmad, Amjad Ali
Faculty Research 2021
Breast cancer is among the lethal types of cancer with a high mortality rate, globally. Its high prevalence can be controlled through improved analysis and identification of disease-specific biomarkers. Recently, long non-coding RNAs (lncRNAs) have been reported as key contributors of carcinogenesis and regulate various cellular pathways through post-transcriptional regulatory mechanisms. The specific aim of this study was to identify the novel interactions of aberrantly expressed genetic components in breast cancer by applying integrative analysis of publicly available expression profiles of both lncRNAs and mRNAs. Differential expression patterns were identified by comparing the breast cancer expression profiles of samples with …