2021
DOI: 10.3389/fimmu.2021.702594
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Clinical Significance and Inflammatory Landscape of aNovel Recurrence-Associated Immune Signature in Stage II/III Colorectal Cancer

Abstract: BackgroundA considerable number of patients with stage II/III colorectal cancer (CRC) will relapse within 5 years after surgery, which is a leading cause of death in early-stage CRC. The current TNM stage system is limited due to the heterogeneous clinical outcomes displayed in patients of same stage. Therefore, searching for a novel tool to identify patients at high recurrence-risk for improving post-operative individual management is an urgent need.MethodsUsing four independent public cohorts and qRT-PCR dat… Show more

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Cited by 43 publications
(34 citation statements)
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“…The R package “maftools” was used to visualize mutation data. Moreover, the list of IRGs was obtained from the IMMPORT database ( https://www.immport.org/ ), which is extensively utilized in immune-related studies ( 42 , 43 ).…”
Section: Methodsmentioning
confidence: 99%
“…The R package “maftools” was used to visualize mutation data. Moreover, the list of IRGs was obtained from the IMMPORT database ( https://www.immport.org/ ), which is extensively utilized in immune-related studies ( 42 , 43 ).…”
Section: Methodsmentioning
confidence: 99%
“…We focused on their translational value in facilitating clinical management and found TGF-β-derived miRNAs demonstrated profound impacts on the prognosis of patients with ICC. In the present study, we were concerned that a single cohort with small size sample might identify many false-positive prognostic-related miRNAs, thus the screening criteria have been elevated as previous studies ( 35 , 36 ). In total, nine miRNAs that pronouncedly associated with OS and aberrantly expressed in ICC were further determined for signature discovery.…”
Section: Discussionmentioning
confidence: 99%
“…The differentially expressed LMRGs were subjected to univariate Cox regression analysis to determine the LMRGs with prognostic value. To avoid overfitting, we further performed the LASSO Cox regression (iteration = 1000) using the “glmnet” package ( Friedman et al, 2010 ; Liu et al, 2021a ; Liu et al, 2021b ). After screening by LASSO regression, the selected LMRGs were applied to establish the LMRGS through the multivariate Cox regression analysis.…”
Section: Methodsmentioning
confidence: 99%