Immune-related gene signature in predicting prognosis of early-stage colorectal cancer patients

Ke, Jia; Liu, Xuan-hui; Jiang, Xiaofeng; He, Zhen; Xiao, Jian; Zheng, Bin; Chen, Yufeng; Cai, Zerong; Zheng, Xiaobin; Zou, Yifeng; Lan, Ping; Wu, Xiaojian; Gao, Feng

doi:10.1016/j.ejso.2020.08.008

Cited by 9 publications

(6 citation statements)

References 39 publications

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“…22 The genes encode those molecules are referred as immune-related genes (IRGs). 23 Besides the composition and abundance of TIICs, the expression of IRGs is associated with prognosis in CRC patients as well. 24 For example, higher expression of PD-1 and PD-L1 is correlated with better prognosis.…”

Section: Introductionmentioning

confidence: 99%

Immune infiltration and immune gene signature predict the response to fluoropyrimidine-based chemotherapy in colorectal cancer patients

Huang

Yan

et al. 2020

OncoImmunology

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Fluoropyrimidine-based chemotherapy is an essential component of systemic chemotherapy for colorectal cancer (CRC). The immune response is implicated in chemotherapy-induced cytotoxicity. Here, we reported an immune risk (Imm-R) model for prognostic prediction in patients receiving fluoropyrimidinebased chemotherapy. Gene expression profiles and corresponding clinical information were collected from four data sets and divided into training set (n = 183) and validation set (validation set1: n = 34; validation set2: n = 99). The composition of 22 tumor-infiltrating immune cells (TIICs) populations was characterized with the CIBERSORT deconvolution algorithm. A prognostic Imm-R model for predicting overall survival was established by performing least absolute shrinkage and selection operator (LASSO) penalized COX regression analysis. T follicular helper cells and M0 macrophages were associated with better survival, while eosinophils were associated with worse survival. TIICs signature was constructed based on the above three immune cell types. Furthermore, a Imm-R model was created by integrating TIICs signature with immune-related genes (IRGs), which effectively in distinguishing CRC patients with poorer prognosis. The Imm-R model was associated with activation of the TGF-beta signaling and suppression of DNA damage. Results of this research provide new insights into the role of immunity for in fluoropyrimidine-based chemotherapy as well as a useful tools to predict the outcome of CRC patients receiving fluoropyrimidine-based chemotherapy.

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Section: Introductionmentioning

confidence: 99%

Immune infiltration and immune gene signature predict the response to fluoropyrimidine-based chemotherapy in colorectal cancer patients

Huang

Yan

et al. 2020

OncoImmunology

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“…30 Some studies have tried to quantify immune infiltration status for predicting the prognosis of CRC, such as Immunoscore and immune-related gene signature. 11,31,32 Interestingly, most of the immune genes were overexpressed in the low-risk group, whereas EMT-related genes show a reverse pattern. Moreover, GSEA analysis found that several tumor malignancyrelated pathways including EMT and TGF-beta were upregulated, while immune-related pathways were F I G U R E 6 The performance of ISE signature comparing to clinicopathological factor and published gene expression-based panel.…”

Section: Discussionmentioning

confidence: 99%

An immune, stroma, and epithelial–mesenchymal transition‐related signature for predicting recurrence and chemotherapy benefit in stage II–III colorectal cancer

Cai

Wang²,

Zhong

et al. 2023

Cancer Medicine

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“…Despite the favorable prognosis that has generally been reported for early-stage CRC without lymph node metastases, some patients with risk factors show poor outcomes. [ 28 ]. According to a previous study, the NPS was not significantly associated with the prognosis in early-stage CRC [ 11 ].…”

Section: Discussionmentioning

confidence: 99%

Prognostic significance of the Naples prognostic score in colorectal cancer patients undergoing curative resection: a propensity score matching analysis

Sugimoto¹,

Fukuoka²,

Shibutani³

et al. 2023

BMC Gastroenterol

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Background Systemic inflammation is recognized as a hallmark of cancer that contributes to tumor development and progression in various malignancies. The Naples prognostic score (NPS) was established as a prognostic indicator for colorectal cancer (CRC). This study aims to examine the predictive value of the NPS for survival in CRC patients undergoing curative resection by a propensity score matching (PSM) analysis. Methods A total of 533 CRC patients were enrolled in this study. Overall survival (OS) and disease-free survival (DFS) were compared between high-NPS and low-NPS groups. A time-dependent receiver operator characteristic (ROC) curve analysis was conducted to calculate the area under curve (AUC) of the NPS for OS. A multivariable Cox-proportional hazards regression analysis and PSM analysis were used to identify independent prognostic factors for OS and DFS. We compared the predictive value of the NPS to that of the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), Onodera prognostic nutritional index (PNI), and controlling nutritional status score (CONUT) for OS. Results High-NPS was significantly associated with worse OS and DFS. After PSM, 123 patients were included in each group. A multivariate analysis revealed that Age ≥ 68, ASA-PS ≥ 3, high NPS and undifferentiated tumor type were independently associated with OS, while high NPS, advanced T and N stage were independently associated with DFS after PSM. The NPS had the greatest AUC for OS in comparison to the NLR, LMR, PNI and CONUT. Conclusions We successfully validated the prognostic utility of the NPS for CRC patients after curative resection.

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Immune-related gene signature in predicting prognosis of early-stage colorectal cancer patients

Cited by 9 publications

References 39 publications

Immune infiltration and immune gene signature predict the response to fluoropyrimidine-based chemotherapy in colorectal cancer patients

Immune infiltration and immune gene signature predict the response to fluoropyrimidine-based chemotherapy in colorectal cancer patients

An immune, stroma, and epithelial–mesenchymal transition‐related signature for predicting recurrence and chemotherapy benefit in stage II–III colorectal cancer

Prognostic significance of the Naples prognostic score in colorectal cancer patients undergoing curative resection: a propensity score matching analysis

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