@article{5ffb167e8a974d86a935944b2e6e1530,
title = "Novel insights into the prognosis and immunological value of the slc35a (Solute carrier 35a) family genes in human breast cancer",
abstract = "According to statistics 2020, female breast cancer (BRCA) became the most commonly diagnosed malignancy worldwide. Prognosis of BRCA patients is still poor, especially in population with advanced or metastatic. Particular functions of each members of the solute carrier 35A (SLC35A) gene family in human BRCA are still unknown regardless of awareness that they play critical roles in tumorigenesis and progression. Using integrated bioinformatics analyses to identify therapeutic targets for specific cancers based on transcriptomics, proteomics, and high-throughput sequencing, we obtained new information and a better understanding of potential underlying molecular mechanisms. Leveraging BRCA dataset that belongs to The Cancer Genome Atlas (TCGA), which were employed to clarify SLC35A gene expression levels. Then we used a bioinformatics approach to investigate biological processes connected to SLC35A family genes in BRCA development. Beside that, the Kaplan–Meier estimator was leveraged to explore predictive values of SLC35A family genes in BCRA patients. Among individuals of this family gene, expression levels of SLC35A2 were substantially related to poor prognostic values, result from a hazard ratio of 1.3 (with 95 percent confidence interval (95% CI: 1.18–1.44), the p for trend (ptrend) is 3.1 × 10−7 ). Furthermore, a functional enrichment analysis showed that SLC35A2 was correlated with hypoxia-inducible factor 1A (HIF1A), heat shock protein (HSP), E2 transcription factor (E2F), DNA damage, and cell cycle-related signaling. Infiltration levels observed in specific types of immune cell, especially the cluster of differentiation found on macrophages and neutrophils, were positively linked with SLC35A2 expression in multiple BRCA subclasses (luminal A, luminal B, basal, and human epidermal growth factor receptor 2). Collectively, SLC35A2 expression was associated with a lower recurrence-free survival rate, suggesting that it could be used as a biomarker in treating BRCA.",
keywords = "Bioinformatics, Biomarker, Breast cancer, Immunology, SLC35A1, SLC35A2, SLC35A3, SLC35A4, SLC35A5",
author = "Ta, {Hoang Dang Khoa} and {Minh Xuan}, {Do Thi} and Tang, {Wan Chun} and Gangga Anuraga and Ni, {Yi Chun} and Pan, {Syu Ruei} and Wu, {Yung Fu} and Fenny Fitriani and {Putri Hermanto}, {Elvira Mustikawati} and Muhammad Athoillah and Vivin Andriani and Ajiningrum, {Purity Sabila} and Wang, {Chih Yang} and Lee, {Kuen Haur}",
note = "Funding Information: Acknowledgments: Bioinformatics analyses and data mining were conducted by the Bioinformatics Core Facility at Taipei Medical University. The authors give special thanks to Daniel P. Chamberlin. This work was financially supported by the “TMU Research Center of Cancer Translational Medicine” from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan. Funding Information: Funding: The study was supported by grants from the Ministry of Science and Technology (MOST) of Taiwan (MOST109-2320-B-038-009-MY2 to C.-Y.W.), the Ministry Health and Welfare Surcharge of Education Tobacco Products of Taiwan (Wan-Fang Hospital, Chi-Mei Medical Center, and Hualien Tzu-Chi Hospital Joint Cancer Center Grant-Focus on Colon Cancer Research; grant no.: MOHW110-TDU-B-212-144020, awarded to K.-H.L.), Ministry of Education of Taiwan (grant no.: DP2-110-21121-03-C-03-03), Chi-Mei Medical Center (grant no.: 110CM-TMU-16 to K.-H.L.), Taipei Medical University (grant TMU-108-AE1-B16 to C.-Y.W.). Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).",
year = "2021",
month = dec,
doi = "10.3390/biomedicines9121804",
language = "English",
volume = "9",
journal = "Biomedicines",
issn = "2227-9059",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "12",
}