Dataset Information

New index combining multiple inflammation-based prognostic scores for predicting the prognosis of gastric cancer patients.

ABSTRACT:

Background and aim

Several inflammation-based scores have prognostic value for patients diagnosed with various cancers. However, using only a single inflammation-based prognostic score may be unreliable, as the cut-off values and relative usefulness among various inflammation-based prognostic scores vary. We established a new combined index of four inflammation-based prognostic scores, namely the neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, prognostic index, and prognostic nutritional index, and assessed its usefulness to predict the prognosis of gastric cancer.

Methods and results

We reviewed the data of 635 patients who underwent surgical resection for gastric cancer. We calculated the combined index as the total value of each of the four included inflammation-based prognostic scores and analyzed the relationship between the combined index and postoperative prognosis of gastric cancer. The new combined index was represented as a value between 0 and 6 in each patient. The Kaplan-Meier survival curves showed that patients whose combined index was 0 had good long-term outcomes, while the prognosis of patients whose combined index ranged from 4 to 6 was poor.

Conclusion

This new combined index was strongly associated with poor prognosis in patients who underwent surgery for gastric cancer. It is inferred that it can predict patient prognosis after surgical resection for gastric cancer with a stronger correlation and clearer stratification than a single inflammation-based prognostic score.

SUBMITTER: Kudou K

PROVIDER: S-EPMC8938759 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

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Publications

New index combining multiple inflammation-based prognostic scores for predicting the prognosis of gastric cancer patients.

Kudou Kensuke K Kusumoto Tetsuya T Nambara Sho S Tsuda Yasuo Y Kusumoto Eiji E Yoshida Rintaro R Sakaguchi Yoshihisa Y Ikejiri Koji K

JGH open : an open access journal of gastroenterology and hepatology 20220314 3

<h4>Background and aim</h4>Several inflammation-based scores have prognostic value for patients diagnosed with various cancers. However, using only a single inflammation-based prognostic score may be unreliable, as the cut-off values and relative usefulness among various inflammation-based prognostic scores vary. We established a new combined index of four inflammation-based prognostic scores, namely the neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, prognostic index, and prognostic nut ...[more]

PMID: 35355677

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Project description:BackgroundColorectal cancer (CRC) is one of the most common solid malignant burdens worldwide. Cancer immunology and immunotherapy have become fundamental areas in CRC research and treatment. Currently, the method of generating Immune-Related Gene Prognostic Indices (IRGPIs) has been found to predict patient prognosis as an immune-related prognostic biomarker in a variety of tumors. However, their role in patients with CRC remains mostly unknown. Therefore, we aimed to establish an IRGPI for prognosis evaluation in CRC.MethodsRNA-sequencing data and clinical information of CRC patients were retrieved from The Cancer Genome Atlas (TCGA) and The Gene Expression Omnibus (GEO) databases as training and validation sets, respectively. Immune-related gene data was obtained from the ImmPort and InnateDB databases. The weighted gene co-expression network analysis (WGCNA) was used to identify hub immune-related genes. An IRGPI was then constructed using Cox regression methods. Based on the median risk score of IRGPI, patients could be divided into high-risk and low-risk groups. To further investigate the immunologic differences, Gene set variation analysis (GSVA) studies were conducted. In addition, immune cell infiltration and related functional analysis were used to identify the differential immune cell subsets and related functional pathways.ResultsWe identified 49 immune-related genes associated with the prognosis of CRC, 17 of which were selected for an IRGPI. The IRGPI model significantly differentiates the survival rates of CRC patients in the different groups. The IRGPI as an independent prognostic factor significantly correlates with clinico-pathological factors such as age and tumor stage. Furthermore, we developed a nomogram to improve the clinical utility of the IRGPI score. Immuno-correlation analysis in different IRGPI groups revealed distinct immune cell infiltration (CD4+ T cells resting memory) and associated pathways (macrophages, Type I IFNs responses, iDCs.), providing new insights into the tumor microenvironment. At last, drug sensitivity analysis revealed that the high-risk IRGPI group was sensitive to 11 and resistant to 15 drugs.ConclusionOur study established a promising immune-related risk model for predicting survival in CRC patients. This could help to better understand the correlation between immunity and the prognosis of CRC providing a new perspective for personalized treatment of CRC.

Dataset Information

New index combining multiple inflammation-based prognostic scores for predicting the prognosis of gastric cancer patients.

Background and aim

Methods and results

Conclusion

Publications

New index combining multiple inflammation-based prognostic scores for predicting the prognosis of gastric cancer patients.

Similar Datasets

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