This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research Article
Luis Jave-Suárez
Mexican Social Security Institute
Corresponding Author
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This work is licensed under a CC BY 4.0 License. Read Full License
Neoadjuvant chemotherapy is one important therapeutic strategy for breast cancer with the drawback of resistance development. Chemotherapy has adverse effects that combined with resistance could contribute to lower overall survival. This work aimed to evaluate the molecular profile of patients who received neoadjuvant chemotherapy to discover differentially expressed genes (DEGs) that could be used as biomarkers of chemotherapy response and overall survival. Breast cancer patients who received neoadjuvant chemotherapy were enrolled in this study and according to their pathological response were assigned as sensitive or resistant. To evaluate DEGs, GO, KEGG, and protein-protein interactions, RNAseq information from all patients was obtained by next-generation sequencing. A total of 1985 DEGs were found and KEGG analysis indicated a great number of DEGs in metabolic pathways, pathways in cancer, cytokine-cytokine receptor interactions, and neuroactive ligand-receptor interactions. A selection of 73 DEGs was used further for an analysis of overall survival using the METABRIC study. Seven of those DEGs correlated with overall survival, of them the sub-expression of C1QTNF3, CTF1, OLFML3, PLA2R1, PODN and the over expression of TUBB and TCP1 were found in resistant patients and related to patients with lower overall survival.
Keywords
breast cancer patients, neoadjuvant chemotherapy, resistance development, differentially expressed genes (DEGs), chemotherapy response, overall survival
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research Article
Luis Jave-Suárez
Mexican Social Security Institute
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 15 Dec, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Neoadjuvant chemotherapy is one important therapeutic strategy for breast cancer with the drawback of resistance development. Chemotherapy has adverse effects that combined with resistance could contribute to lower overall survival. This work aimed to evaluate the molecular profile of patients who received neoadjuvant chemotherapy to discover differentially expressed genes (DEGs) that could be used as biomarkers of chemotherapy response and overall survival. Breast cancer patients who received neoadjuvant chemotherapy were enrolled in this study and according to their pathological response were assigned as sensitive or resistant. To evaluate DEGs, GO, KEGG, and protein-protein interactions, RNAseq information from all patients was obtained by next-generation sequencing. A total of 1985 DEGs were found and KEGG analysis indicated a great number of DEGs in metabolic pathways, pathways in cancer, cytokine-cytokine receptor interactions, and neuroactive ligand-receptor interactions. A selection of 73 DEGs was used further for an analysis of overall survival using the METABRIC study. Seven of those DEGs correlated with overall survival, of them the sub-expression of C1QTNF3, CTF1, OLFML3, PLA2R1, PODN and the over expression of TUBB and TCP1 were found in resistant patients and related to patients with lower overall survival.
Figure 1
Figure 1
Figure 2
Figure 2
Figure 3
Figure 3
Figure 4
Figure 4
Figure 5
Figure 5
This is a list of supplementary files associated with this preprint. Click to download.
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