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| Status |
Public on Jul 01, 2019 |
| Title |
Locally advanced rectal cancer transcriptomic-based secretome analysis according to neoadjuvant chemoradiotherapy response |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by array
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| Summary |
Most patients with locally advanced rectal cancer (LARC) present incomplete pathological response (pIR) to neoadjuvant chemoradiotherapy (nCRT). Despite the efforts to predict treatment response using tumor-molecular features, as differentially expressed genes, no molecule has proved to be a strong biomarker. The tumor secretome analysis is a promising strategy for biomarkers identification, which can be assessed using transcriptomic data. Here, we performed transcriptomic-based secretome analysis to select potentially secreted proteins using an in silico approach. The tumor expression profile of 28 LARC biopsies carefully selected and collected before nCRT was compared with normal rectal tissues (NT). The expression profile showed no significant differences between cases with complete (pCR) and incomplete response to nCRT. Genes with increased expression (pCR = 106 and pIR = 357) were used for secretome analysis based on public databases (Vesiclepedia, Human Cancer Secretome Database and Plasma and Proteome Database). Seventeen potentially secreted candidates (pCR=1, pIR=13 and 3 in both groups) were further investigated in two independent datasets (TCGA and GSE68204) confirming their over-expression in LARC. The potential secreted biomarkers were also confirmed as associated with the nCRT response (GSE68204). These putative proteins are candidates to be assessed in liquid biopsies aiming a personalized treatment in LARC patients.
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| Overall design |
Total RNA was extracted from 28 rectal cancer samples and 5 normal rectal tissue fixed in formaline and embedded in paraffin. Global gene expression was detected using the Affymetrix Human Transcriptome Array 2.0.
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| Contributor(s) |
Canto LM, Cury SS, Barros-Filho MC, Kupper BE, Begnami MD, Scapulatempo-Neto C, Carvalho RF, Marchi FA, Aguiar-Jr S, Rogatto SR |
| Citation(s) |
31213644 |
| Submission date |
Dec 06, 2018 |
| Last update date |
Mar 11, 2021 |
| Contact name |
Luisa Matos do Canto |
| Organization name |
Vejle Hospital
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| Department |
Biochemistry and Immunology
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| Street address |
Beriderbakken 4
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| City |
Vejle |
| ZIP/Postal code |
7100 |
| Country |
Denmark |
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| Platforms (1) |
| GPL17586 |
[HTA-2_0] Affymetrix Human Transcriptome Array 2.0 [transcript (gene) version] |
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| Samples (33)
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| Relations |
| BioProject |
PRJNA510936 |
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