Gene Expression Behavior of a Set of Genes in Platelet and Tissue Samples from Patients with Breast Cancer.
Luis A Burciaga-HernandezCecilia F Cueto-VillalobosNancy Ortega-PiñonIrma Elizabeth Gonzalez-CurielSusana Godina-GonzálezGwendolyne Mendez-FraustoAnna P Aguilar-EsquivelVilma Maldonado-LagunasLuis E Guerrero-de la TorreJorge Melendez-ZajglaErika K Sanchez-GarciaIrma Beatriz Mitre-AguilarGretel Mendoza-AlmanzaPublished in: International journal of molecular sciences (2023)
The tumor microenvironment (TME) is constituted by a great diversity of highly dynamic cell populations, each of which contributes ligands, receptors, soluble proteins, mRNAs, and miRNAs, in order to regulate cellular activities within the TME and even promote processes such as angiogenesis or metastasis. Intravasated platelets (PLT) undergo changes in the TME that convert them into tumor-educated platelets (TEP), which supports the development of cancer, angiogenesis, and metastasis through the degranulation and release of biomolecules. Several authors have reported that the deregulation of PF4 , VEGF , PDGF , ANG-1 , WASF3 , LAPTM4B , TPM3 , and TAC1 genes participates in breast cancer progression, angiogenesis, and metastasis. The present work aimed to analyze the expression levels of this set of genes in tumor tissues and platelets derived from breast cancer patients by reverse transcription-quantitative polymerase chain reaction (RTqPCR) assays, in order to determine if there was an expression correlation between these sources and to take advantage of the new information to be used in possible diagnosis by liquid biopsy. Data from these assays showed that platelets and breast cancer tumors present similar expression levels of a subset of these genes' mRNAs, depending on the molecular subtype, comorbidities, and metastasis presence.
Keyphrases
- poor prognosis
- gene expression
- endothelial cells
- genome wide
- vascular endothelial growth factor
- genome wide analysis
- genome wide identification
- bioinformatics analysis
- dna methylation
- binding protein
- high throughput
- papillary thyroid
- transcription factor
- stem cells
- wound healing
- healthcare
- mesenchymal stem cells
- deep learning
- electronic health record
- cell therapy
- mass spectrometry
- ultrasound guided
- squamous cell