Revisiting the Genomic and Transcriptomic Landscapes from Female Malignancies Could Provide Molecular Markers and Targets for Precision Medicine
| Autor: | Emmanuel Salcedo, Laura Chávez-Macías, Erick Gómez-Apo, Haydeé Rosas-Vargas, Daniel Marrero-Rodríguez, Julio Aviles-Duran, Keiko Taniguchi-Ponciano, Victor Huerta-Padilla, Hugo Romero-Anduaga, Alejandra Valdivia, Félix Quijano, Victor Baeza-Xochihua, Mauricio Salcedo, Raúl Peralta, Hilario Ruiz-Sanchez, Gustavo Ponce-Navarrete |
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| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Microarray Genital Neoplasms Female Genomics Computational biology Biology Transcriptome 03 medical and health sciences 0302 clinical medicine Breast cancer medicine Humans Copy-number variation Precision Medicine Cervical cancer Gene Expression Profiling General Medicine medicine.disease Precision medicine Prognosis 030104 developmental biology 030220 oncology & carcinogenesis Female Ovarian cancer Biomarkers |
| Zdroj: | Archives of medical research. 50(7) |
| ISSN: | 1873-5487 |
| Popis: | Aims Gynaecological malignancies such as breast, ovarian and cervical cancers have become an important public health problem. Detection of molecular alterations in cancer research is fundamental since it can reveal specific pathogenic patterns and genes that could serve as markers. Our aim was to characterize common genomic and transcriptomic signatures for the three gynaecologic malignancies with the highest incidence and mortality to try to identify new molecular markers, therapeutic targets and molecular signatures. Methods Here we analysed a total of 723 microarray libraries corresponding to equal number of breast, ovary and cervical cancer and non-cancer patient samples. Copy number variation (CNV) was carried out using 428 libraries and transcriptomic analysis using the 295 remaining samples. Results Our results showed that breast, ovary and cervical malignancies are characterized by gain of 1q chromosome. At transcriptomic level, they share 351 coding and non-coding genes, which could represent core transcriptome of gynaecological malignancies. Pathway analysis from the resulting gene lists from CNV and expression showed participation in cell cycle, metabolism, and cell adhesion molecules among others. Conclusions Chromosome 1q characterize the gynaecological malignancies, which could harbour a richness of genetic repertoire to mine for molecular markers and targets, particular gynaecologic expression profile, containing FANCI, FH and MIR155HG among others, could represent part of the transcriptomic core for diagnostic test and attractive therapeutic targets. It may not be long before every human cancer sample is profiled for a detections test to ascertain a molecular diagnosis and prognosis and to define an optimal and precise treatment strategy. |
| Databáze: | OpenAIRE |
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