2021
DOI: 10.1093/narcan/zcab024
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Reboot: a straightforward approach to identify genes and splicing isoforms associated with cancer patient prognosis

Abstract: Nowadays, the massive amount of data generated by modern sequencing technologies provides an unprecedented opportunity to find genes associated with cancer patient prognosis, connecting basic and translational research. However, treating high dimensionality of gene expression data and integrating it with clinical variables are major challenges to perform these analyses. Here, we present Reboot, an integrative approach to find and validate genes and transcripts (splicing isoforms) associated with cancer patient… Show more

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Cited by 8 publications
(11 citation statements)
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“…Having confirmed the high and distinct expression of retro-miRs in cancer, we sought to check whether these miRNAs have prognostic values to overall survival in cancer patients. To assess this, we used Reboot [32], an algorithm to find gene signatures (including miRNAs) associated with cancer patient prognosis. Using this strategy in approximately 8 thousand samples from 10 cancer types presenting overall survival (OS), we found two signatures with prognostic values, a signature with two retro-miRs (Figure 6A-B) in Liver Hepatocellular Carcinoma (LICH) and another with three retro-miRs with prognostic value in Stomach Adenocarcinoma (STAD), Figure 6C-D.…”
Section: Resultsmentioning
confidence: 99%
“…Having confirmed the high and distinct expression of retro-miRs in cancer, we sought to check whether these miRNAs have prognostic values to overall survival in cancer patients. To assess this, we used Reboot [32], an algorithm to find gene signatures (including miRNAs) associated with cancer patient prognosis. Using this strategy in approximately 8 thousand samples from 10 cancer types presenting overall survival (OS), we found two signatures with prognostic values, a signature with two retro-miRs (Figure 6A-B) in Liver Hepatocellular Carcinoma (LICH) and another with three retro-miRs with prognostic value in Stomach Adenocarcinoma (STAD), Figure 6C-D.…”
Section: Resultsmentioning
confidence: 99%
“…For a TMB ≥10 mut/Mb cutoff (N = 488), we assessed OS regarding the mutational status of each gene mutation found in at least 5 patients (N = 392). For all genes exhibiting a correlation with survival considering a standard alpha-error level ( p < 0.05), a Cox multivariate analysis was also conducted using Reboot [ 10 ]. The adjustment variables included sex, median age, microsatellite instability (MSI) status, TMB under or above the median TMB of the cohort (20 mut/Mb), and tumor histology (non-small cell lung cancer (NSCLC), melanoma, bladder cancer, and colorectal cancer).…”
Section: Methodsmentioning
confidence: 99%
“…For a TMB ≥ 10mut/Mb cutoff (N = 488), we assessed OS regarding the mutational status of each gene mutation found in at least 5 patients (N = 392). For all genes exhibiting a correlation with survival considering a standard alpha-error level (P < 0.05), a Cox multivariate analysis was also conducted using Reboot 10 . The adjustment variables included sex, median age, microsatellite instability (MSI) status, TMB under or above the median TMB of the cohort (20 mut/Mb), and histology (non-small cell lung cancer (NSCLC), melanoma, bladder cancer, and colorectal cancer).…”
Section: Methodsmentioning
confidence: 99%