-
1دورية أكاديمية
المؤلفون: Chin-Chou Wang, Wan-Jou Shen, Gangga Anuraga, Yu-Hsiu Hsieh, Hoang Dang Khoa Ta, Do Thi Minh Xuan, Chiu-Fan Shen, Chih-Yang Wang, Wei-Jan Wang
المصدر: Journal of Personalized Medicine, Vol 13, Iss 1, p 49 (2022)
مصطلحات موضوعية: FKBP family genes, lung cancer, metabolism, prognosis, bioinformatics, Medicine
الوصف: The complexity of lung adenocarcinoma (LUAD), the development of which involves many interacting biological processes, makes it difficult to find therapeutic biomarkers for treatment. FK506-binding proteins (FKBPs) are composed of 12 members classified as conservative intracellular immunophilin family proteins, which are often connected to cyclophilin structures by tetratricopeptide repeat domains and have peptidyl prolyl isomerase activity that catalyzes proline from residues and turns the trans form into the cis form. Since FKBPs belong to chaperone molecules and promote protein folding, previous studies demonstrated that FKBP family members significantly contribute to the degradation of damaged, misfolded, abnormal, and foreign proteins. However, transcript expressions of this gene family in LUAD still need to be more fully investigated. In this research, we adopted high-throughput bioinformatics technology to analyze FKBP family genes in LUAD to provide credible information to clinicians and promote the development of novel cancer target drugs in the future. The current data revealed that the messenger (m)RNA levels of FKBP2, FKBP3, FKBP4, FKBP10, FKBP11, and FKBP14 were overexpressed in LUAD, and FKBP10 had connections to poor prognoses among LUAD patients in an overall survival (OS) analysis. Based on the above results, we selected FKBP10 to further conduct a comprehensive analysis of the downstream pathway and network. Through a DAVID analysis, we found that FKBP10 was involved in mitochondrial electron transport, NADH to ubiquinone transport, mitochondrial respiratory chain complex I assembly, etc. The MetaCore pathway analysis also indicated that FKBP10 was involved in "Ubiquinone metabolism", "Translation_(L)-selenoaminoacid incorporation in proteins during translation", and "Transcription_Negative regulation of HIF1A function". Collectively, this study revealed that FKBP family members are both significant prognostic biomarkers for lung cancer progression and promising clinical therapeutic targets, thus providing new targets for treating LUAD patients.
وصف الملف: electronic resource
-
2دورية أكاديمية
المؤلفون: Chin-Chou Wang, Wan-Jou Shen, Gangga Anuraga, Hoang Dang Khoa Ta, Do Thi Minh Xuan, Sih-Tong Chen, Chiu-Fan Shen, Jia-Zhen Jiang, Zhengda Sun, Chih-Yang Wang, Wei-Jan Wang
المصدر: Journal of Personalized Medicine, Vol 12, Iss 12, p 1947 (2022)
مصطلحات موضوعية: PTPN family genes, lung cancer, prognosis, bioinformatics, big data analysis, Medicine
الوصف: Despite the treatment of lung adenocarcinoma (LUAD) having partially improved in recent years, LUAD patients still have poor prognosis rates. Therefore, it is especially important to explore effective biomarkers and exploit novel therapeutic developments. High-throughput technologies are widely used as systematic approaches to explore differences in expressions of thousands of genes for both biological and genomic systems. Recently, using big data analyses in biomedicine research by integrating several high-throughput databases and tools, including The Cancer Genome Atlas (TCGA), cBioportal, Oncomine, and Kaplan–Meier plotter, is an important strategy to identify novel biomarkers for cancer therapy. Here, we used two different comprehensive bioinformatics analysis and revealed protein tyrosine phosphatase non-receptor type (PTPN) family genes, especially PTPN1 and PTPN22, were downregulated in lung cancer tissue in comparison with normal samples. The survival curves indicated that LUAD patients with high transcription levels of PTPN5 were significantly associated with a good prognosis. Meanwhile, Gene Ontology (GO) and MetaCore analyses indicated that co-expression of the PTPN1, PTPN5, and PTPN21 genes was significantly enriched in cancer development-related pathways, including GTPase activity, regulation of small GTPase-mediated signal transduction, response to mechanical stimuli, vasculogenesis, organ morphogenesis, regulation of stress fiber assembly, mitogen-activated protein kinase (MAPK) cascade, cell migration, and angiogenesis. Collectively, this study revealed that PTPN family members are both significant prognostic biomarkers for lung cancer progression and promising clinical therapeutic targets, which provide new targets for treating LUAD patients.
وصف الملف: electronic resource
-
3دورية أكاديمية
المؤلفون: Gangga Anuraga, Wei-Jan Wang, Nam Nhut Phan, Nu Thuy An Ton, Hoang Dang Khoa Ta, Fidelia Berenice Prayugo, Do Thi Minh Xuan, Su-Chi Ku, Yung-Fu Wu, Vivin Andriani, Muhammad Athoillah, Kuen-Haur Lee, Chih-Yang Wang
المصدر: Journal of Personalized Medicine, Vol 11, Iss 11, p 1089 (2021)
مصطلحات موضوعية: breast cancer, bioinformatics, biomarker, prognosis, NEK family genes, immune microenvironment, Medicine
الوصف: Breast cancer remains the most common malignant cancer in women, with a staggering incidence of two million cases annually worldwide; therefore, it is crucial to explore novel biomarkers to assess the diagnosis and prognosis of breast cancer patients. NIMA-related kinase (NEK) protein kinase contains 11 family members named NEK1-NEK11, which were discovered from Aspergillus Nidulans; however, the role of NEK family genes for tumor development remains unclear and requires additional study. In the present study, we investigate the prognosis relationships of NEK family genes for breast cancer development, as well as the gene expression signature via the bioinformatics approach. The results of several integrative analyses revealed that most of the NEK family genes are overexpressed in breast cancer. Among these family genes, NEK2/6/8 overexpression had poor prognostic significance in distant metastasis-free survival (DMFS) in breast cancer patients. Meanwhile, NEK2/6 had the highest level of DNA methylation, and the functional enrichment analysis from MetaCore and Gene Set Enrichment Analysis (GSEA) suggested that NEK2 was associated with the cell cycle, G2M checkpoint, DNA repair, E2F, MYC, MTORC1, and interferon-related signaling. Moreover, Tumor Immune Estimation Resource (TIMER) results showed that the transcriptional levels of NEK2 were positively correlated with immune infiltration of B cells and CD4+ T Cell. Collectively, the current study indicated that NEK family genes, especially NEK2 which is involved in immune infiltration, and may serve as prognosis biomarkers for breast cancer progression.
وصف الملف: electronic resource
-
4
المؤلفون: Gangga Anuraga, Muhammad Athoillah, Yung-Fu Wu, Vivin Andriani, Do Thi Minh Xuan, Wan-Chun Tang, Kuen Haur Lee, Elvira Mustikawati Putri Hermanto, Hoang Dang Khoa Ta, Purity Sabila Ajiningrum, Fenny Fitriani, Syu-Ruei Pan, Yi-Chun Ni, Chih-Yang Wang
المصدر: Biomedicines
Biomedicines; Volume 9; Issue 12; Pages: 1804
Biomedicines, Vol 9, Iss 1804, p 1804 (2021)مصطلحات موضوعية: QH301-705.5, Population, Medicine (miscellaneous), Biology, medicine.disease_cause, General Biochemistry, Genetics and Molecular Biology, Article, Transcriptome, immunology, Breast cancer, breast cancer, medicine, Gene family, Biology (General), education, education.field_of_study, Cancer, bioinformatics, medicine.disease, Solute carrier family, Cancer research, Biomarker (medicine), biomarker, SLC35A5, SLC35A4, SLC35A1, SLC35A2, SLC35A3, Carcinogenesis
الوصف: 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.
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c866661db803d7426022bafc514301eTest
https://pubmed.ncbi.nlm.nih.gov/34944621Test -
5
المؤلفون: Tzu Jen Kao, Yen Hsi Liu, Tak Kee Choy, Chih-Yang Wang, Hoang Dang Khoa Ta, Jian Ying Chuang, Gangga Anuraga, Yung-Fu Wu, Kuen Haur Lee, Nam Nhut Phan
المصدر: Diagnostics
Diagnostics, Vol 11, Iss 1204, p 1204 (2021)
Volume 11
Issue 7مصطلحات موضوعية: 0301 basic medicine, Medicine (General), DPP family genes, Clinical Biochemistry, Disease, Dipeptidyl peptidase, Article, Transcriptome, 03 medical and health sciences, R5-920, 0302 clinical medicine, Immune system, Breast cancer, breast cancer, Medicine, skin and connective tissue diseases, business.industry, bioinformatics, Cell cycle, medicine.disease, 030104 developmental biology, 030220 oncology & carcinogenesis, Cancer research, Tumor necrosis factor alpha, business, Transforming growth factor
الوصف: Breast cancer is a heterogeneous disease involving complex interactions of biological processes
thus, it is important to develop therapeutic biomarkers for treatment. Members of the dipeptidyl peptidase (DPP) family are metalloproteases that specifically cleave dipeptides. This family comprises seven members, including DPP3, DPP4, DPP6, DPP7, DPP8, DPP9, and DPP10
however, information on the involvement of DPPs in breast cancer is lacking in the literature. As such, we aimed to study their roles in this cancerous disease using publicly available databases such as cBioportal, Oncomine, and Kaplan–Meier Plotter. These databases comprise comprehensive high-throughput transcriptomic profiles of breast cancer across multiple datasets. Furthermore, together with investigating the messenger RNA expression levels of these genes, we also aimed to correlate these expression levels with breast cancer patient survival. The results showed that DPP3 and DPP9 had significantly high expression profiles in breast cancer tissues relative to normal breast tissues. High expression levels of DPP3 and DPP4 were associated with poor survival of breast cancer patients, whereas high expression levels of DPP6, DPP7, DPP8, and DPP9 were associated with good prognoses. Additionally, positive correlations were also revealed of DPP family genes with the cell cycle, transforming growth factor (TGF)-beta, kappa-type opioid receptor, and immune response signaling, such as interleukin (IL)-4, IL6, IL-17, tumor necrosis factor (TNF), and interferon (IFN)-alpha/beta. Collectively, DPP family members, especially DPP3, may serve as essential prognostic biomarkers in breast cancer.وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87b5f4a8924ca806057d9fa507e31d93Test
https://pubmed.ncbi.nlm.nih.gov/34359286Test -
6
المؤلفون: Yung-Fu Wu, Gangga Anuraga, Yen-Hsi Liu, Nam Nhut Phan, Wan-Chun Tang, Kuen Haur Lee, Hoang Dang Khoa Ta, Chih-Yang Wang
المصدر: Current Issues in Molecular Biology; Volume 43; Issue 1; Pages: 2-20
Current Issues in Molecular Biology, Vol 43, Iss 2, Pp 2-20 (2021)مصطلحات موضوعية: 0301 basic medicine, Microbiology (medical), GTF3B, GTF3A, QH301-705.5, Colorectal cancer, Human Protein Atlas, Muscle Proteins, colorectal cancer, Proteomics, GTF3C2, Microbiology, GTF3C1, Transcriptome, 03 medical and health sciences, 0302 clinical medicine, Databases, Genetic, Biomarkers, Tumor, Medicine, Humans, Biology (General), Databases, Protein, Molecular Biology, Gene, Wnt Signaling Pathway, bioinformatics, TATA-Binding Protein Associated Factors, business.industry, Wnt signaling pathway, Cancer, Computational Biology, Nuclear Proteins, General Medicine, Cell cycle, medicine.disease, Prognosis, Gene Expression Regulation, Neoplastic, 030104 developmental biology, 030220 oncology & carcinogenesis, Cancer research, Trans-Activators, business, Colorectal Neoplasms, Cell Division
الوصف: Colorectal cancer (CRC) has the fourth-highest incidence of all cancer types, and its incidence has steadily increased in the last decade. The general transcription factor III (GTF3) family, comprising GTF3A, GTF3B, GTF3C1, and GTFC2, were stated to be linked with the expansion of different types of cancers; however, their messenger (m)RNA expressions and prognostic values in colorectal cancer need to be further investigated. To study the transcriptomic expression levels of GTF3 gene members in colorectal cancer in both cancerous tissues and cell lines, we first performed high-throughput screening using the Oncomine, GEPIA, and CCLE databases. We then applied the Prognoscan database to query correlations of their mRNA expressions with the disease-specific survival (DSS), overall survival (OS), and disease-free survival (DFS) status of the colorectal cancer patient. Furthermore, proteomics expressions of GTF3 family members in clinical colorectal cancer specimens were also examined using the Human Protein Atlas. Finally, genomic alterations of GTF3 family gene expressions in colorectal cancer and their signal transduction pathways were studied using cBioPortal, ClueGO, CluePedia, and MetaCore platform. Our findings revealed that GTF3 family members’ expressions were significantly correlated with the cell cycle, oxidative stress, WNT/β-catenin signaling, Rho GTPases, and G-protein-coupled receptors (GPCRs). Clinically, high GTF3A and GTF3B expressions were significantly correlated with poor prognoses in colorectal cancer patients. Collectively, our study declares that GTF3A was overexpressed in cancer tissues and cell lines, particularly colorectal cancer, and it could possibly step in as a potential prognostic biomarker.
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebe3d4156ebcbaffb31e085fc9b4ac49Test
-
7
المؤلفون: Gangga Anuraga, Sz-Ying Hou, Chih-Yang Wang, Yen-Hsi Liu, Nam Nhut Phan, Yung-Fu Wu, Hoang Dang Khoa Ta, Chung-Chieh Chiao, Wan-Chun Tang, Kuen Haur Lee
المصدر: Diagnostics
Volume 11
Issue 4
Diagnostics, Vol 11, Iss 726, p 726 (2021)مصطلحات موضوعية: 0301 basic medicine, Medicine (General), Clinical Biochemistry, Biology, Article, Extracellular matrix, LAGE2B, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, R5-920, breast cancer, Gene expression, medicine, LAGE2A, skin and connective tissue diseases, Gene, RNA, bioinformatics, Gene signature, Cell cycle, medicine.disease, LAGE3, LAGE1, 030104 developmental biology, 030220 oncology & carcinogenesis, Cancer research, Signal transduction
الوصف: Breast cancer (BRCA) is one of the most complex diseases and involves several biological processes. Members of the L-antigen (LAGE) family participate in the development of various cancers, but their expressions and prognostic values in breast cancer remain to be clarified. High-throughput methods for exploring disease progression mechanisms might play a pivotal role in the improvement of novel therapeutics. Therefore, gene expression profiles and clinical data of LAGE family members were acquired from the cBioportal database, followed by verification using the Oncomine and The Cancer Genome Atlas (TCGA) databases. In addition, the Kaplan-Meier method was applied to explore correlations between expressions of LAGE family members and prognoses of breast cancer patients. MetaCore, GlueGo, and GluePedia were used to comprehensively study the transcript expression signatures of LAGEs and their co-expressed genes together with LAGE-related signal transduction pathways in BRCA. The result indicated that higher LAGE3 messenger (m)RNA expressions were observed in BRCA tissues than in normal tissues, and they were also associated with the stage of BRCA patients. Kaplan-Meier plots showed that overexpression of LAGE1, LAGE2A, LAGE2B, and LAGE3 were highly correlated to poor survival in most types of breast cancer. Significant associations of LAGE family genes were correlated with the cell cycle, focal adhesion, and extracellular matrix (ECM) receptor interactions as indicated by functional enrichment analyses. Collectively, LAGE family members’ gene expression levels were related to adverse clinicopathological factors and prognoses of BRCA patients
therefore, LAGEs have the potential to serve as prognosticators of BRCA patients.وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94fc95889296e899a8704ef33660fe64Test
-
8
المؤلفون: Do Thi Minh Xuan, Chung-Chieh Chiao, Tzu-Jen Kao, Purity Sabila Ajiningrum, Nam Nhut Phan, Yen-Hsi Liu, Elvira Mustikawati Putri Hermanto, Gangga Anuraga, Muhammad Athoillah, Nu Thuy An Ton, Chih-Yang Wang, Fenny Fitriani, Vivin Andriani, Yung-Fu Wu, Jian-Ying Chuang, Hoang Dang Khoa Ta, Kuen Haur Lee
المصدر: Diagnostics, Vol 11, Iss 2220, p 2220 (2021)
Diagnostics; Volume 11; Issue 12; Pages: 2220
Diagnosticsمصطلحات موضوعية: Medicine (General), Clinical Biochemistry, PSMA7, PSMA6, bioinformatics, Cell cycle, Biology, urologic and male genital diseases, medicine.disease, PSMA3, PSMA2, Article, PSMA family genes, PSMA4, breast cancer, Transcriptome, R5-920, Breast cancer, medicine, Cancer research
الوصف: The complexity of breast cancer includes many interacting biological processes, and proteasome alpha (PSMA) subunits are reported to be involved in many cancerous diseases, although the transcriptomic expression of this gene family in breast cancer still needs to be more thoroughly investigated. Consequently, we used a holistic bioinformatics approach to study the PSMA genes involved in breast cancer by integrating several well-established high-throughput databases and tools, such as cBioPortal, Oncomine, and the Kaplan–Meier plotter. Additionally, correlations of breast cancer patient survival and PSMA messenger RNA expressions were also studied. The results demonstrated that breast cancer tissues had higher expression levels of PSMA genes compared to normal breast tissues. Furthermore, PSMA2, PSMA3, PSMA4, PSMA6, and PSMA7 showed high expression levels, which were correlated with poor survival of breast cancer patients. In contrast, PSMA5 and PSMA8 had high expression levels, which were associated with good prognoses. We also found that PSMA family genes were positively correlated with the cell cycle, ubiquinone metabolism, oxidative stress, and immune response signaling, including antigen presentation by major histocompatibility class, interferon-gamma, and the cluster of differentiation signaling. Collectively, these findings suggest that PSMA genes have the potential to serve as novel biomarkers and therapeutic targets for breast cancer. Nevertheless, the bioinformatic results from the present study would be strengthened with experimental validation in the future by prospective studies on the underlying biological mechanisms of PSMA genes and breast cancer.
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23c3f2ae7f122039465c0ca92d31c2d8Test
https://doi.org/10.3390/diagnostics11122220Test -
9
المؤلفون: Vivin Andriani, Su-Chi Ku, Wei-Jan Wang, Muhammad Athoillah, Yung-Fu Wu, Do Thi Minh Xuan, Chih-Yang Wang, Fidelia Berenice Prayugo, Hoang Dang Khoa Ta, Nu Thuy An Ton, Gangga Anuraga, Nam Nhut Phan, Kuen Haur Lee
المصدر: Journal of Personalized Medicine, Vol 11, Iss 1089, p 1089 (2021)
Journal of Personalized Medicine
Volume 11
Issue 11مصطلحات موضوعية: DNA repair, immune microenvironment, Medicine (miscellaneous), macromolecular substances, Biology, Article, NEK family genes, breast cancer, Breast cancer, medicine, skin and connective tissue diseases, E2F, Gene, immune infiltration, Kinase, technology, industry, and agriculture, Cancer, functional enrichment analysis, bioinformatics, Cell cycle, medicine.disease, DNA methylation, Cancer research, biomarker, Medicine, prognosis
الوصف: Breast cancer remains the most common malignant cancer in women, with a staggering incidence of two million cases annually worldwide
therefore, it is crucial to explore novel biomarkers to assess the diagnosis and prognosis of breast cancer patients. NIMA-related kinase (NEK) protein kinase contains 11 family members named NEK1-NEK11, which were discovered from Aspergillus Nidulans
however, the role of NEK family genes for tumor development remains unclear and requires additional study. In the present study, we investigate the prognosis relationships of NEK family genes for breast cancer development, as well as the gene expression signature via the bioinformatics approach. The results of several integrative analyses revealed that most of the NEK family genes are overexpressed in breast cancer. Among these family genes, NEK2/6/8 overexpression had poor prognostic significance in distant metastasis-free survival (DMFS) in breast cancer patients. Meanwhile, NEK2/6 had the highest level of DNA methylation, and the functional enrichment analysis from MetaCore and Gene Set Enrichment Analysis (GSEA) suggested that NEK2 was associated with the cell cycle, G2M checkpoint, DNA repair, E2F, MYC, MTORC1, and interferon-related signaling. Moreover, Tumor Immune Estimation Resource (TIMER) results showed that the transcriptional levels of NEK2 were positively correlated with immune infiltration of B cells and CD4+ T Cell. Collectively, the current study indicated that NEK family genes, especially NEK2 which is involved in immune infiltration, and may serve as prognosis biomarkers for breast cancer progression.وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc2a58250874541a72b1a737f2484789Test
https://doi.org/10.3390/jpm11111089Test -
10
المؤلفون: Kuen Haur Lee, Fidelia Berenice Prayugo, Chih-Yang Wang, Gangga Anuraga, Tzu-Jen Kao, Hoang Dang Khoa Ta, Li-Chia Lin, Yung-Fu Wu, Jian-Ying Chuang
المصدر: Biomedicines
Biomedicines, Vol 9, Iss 1460, p 1460 (2021)
Volume 9
Issue 10مصطلحات موضوعية: FABP Family Gene, FABP6, QH301-705.5, Colorectal cancer, Human Protein Atlas, Medicine (miscellaneous), colorectal cancer, Biology, medicine.disease_cause, Article, General Biochemistry, Genetics and Molecular Biology, FABP family genes, microRNA, medicine, Biology (General), neoplasms, Gene, bioinformatics, medicine.disease, digestive system diseases, Cancer research, prognosis, Signal transduction, Carcinogenesis
الوصف: Colorectal cancer (CRC) is one of the world’s leading causes of cancer-related deaths
thus, it is important to detect it as early as possible. Obesity is thought to be linked to a large rise in the CRC incidence as a result of bad dietary choices, such as a high intake of animal fats. Fatty acid-binding proteins (FABPs) are a set of molecules that coordinate intracellular lipid responses and are highly associated with metabolism and inflammatory pathways. There are nine types of FABP genes that have been found in mammals, which are FABP1–7, FABP9, and FABP12. Each FABP gene has its own roles in different organs of the body
hence, each one has different expression levels in different cancers. The roles of FABP family genes in the development of CRC are still poorly understood. We used a bioinformatics approach to examine FABP family gene expression profiles using the Oncomine, GEPIA, PrognoScan, STRING, cBioPortal, MetaCore, and TIMER platforms. Results showed that the FABP6 messenger (m)RNA level is overexpressed in CRC cells compared to normal cells. The overexpression of FABP6 was found to be related to poor prognosis in CRC patients’ overall survival. The immunohistochemical results in the Human Protein Atlas showed that FABP1 and FABP6 exhibited strong staining in CRC tissues. An enrichment analysis showed that high expression of FABP6 was significantly correlated with the role of microRNAs in cell proliferation in the development of CRC through the insulin-like growth factor (IGF) signaling pathway. FABP6 functions as an intracellular bile-acid transporter in the ileal epithelium. We looked at FABP6 expression in CRC since bile acids are important in the carcinogenesis of CRC. In conclusion, high FABP6 expression is expected to be a potential biomarker for detecting CRC at the early stage.وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c3d5fd7b16de25111c4a3674032efa5Test
https://doi.org/10.3390/biomedicines9101460Test