Polarization of intestinal tumour-associated macrophages regulates the development of schistosomal colorectal cancer

Wang, Zijian; Du, Zhixiang; Sheng, Haoyu; Xu, Xiuliang; Wang, Wenjie; Jiao, Yang; Sun, Jian; Yang, Jianghua

doi:10.7150/jca.48985

Cited by 11 publications

(8 citation statements)

References 47 publications

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“…Regarding the regulatory function of lymphocytes, some evidence showed that T cell subsets (Th1, Treg ( Motz and Coukos, 2011 ) and CD4 + Th2 cells ( DeNardo et al, 2009 )) could also play pro-angiogenesis roles through different mechanisms. Previous studies showed that poor prognosis of cancer patients is greatly correlated with the proportion of M2-like TAMs ( Ni et al, 2019 ; Yan et al, 2020 ; Wang et al, 2021 ; Ye et al, 2021 ). Therefore, whether high risk score is positively correlated with M2-like macrophages needs to be further confirmed.…”

Section: Discussionmentioning

confidence: 99%

Angiogenesis-Related Immune Signatures Correlate With Prognosis, Tumor Microenvironment, and Therapeutic Sensitivity in Hepatocellular Carcinoma

Yang

et al. 2021

Front. Mol. Biosci.

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Background: Hepatocellular carcinoma (HCC) is one of the highly heterogeneous cancers that lacks an effective risk model for prognosis prediction. Therefore, we searched for angiogenesis-related immune genes that affected the prognosis of HCC to construct a risk model and studied the role of this model in HCC.Methods: In this study, we collected the transcriptome data of HCC from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) database. Pearson correlation analysis was performed to identify the association between immune genes and angiogenesis-related genes. Consensus clustering was applied to divide patients into clusters A and B. Subsequently, we studied the differentially expressed angiogenesis-related immune genes (DEari-genes) that affected the prognosis of HCC. The most significant features were identified by least absolute shrinkage and selection operator (LASSO) regression, and a risk model was constructed. The reliability of the risk model was evaluated in the TCGA discovery cohort and the ICGC validation cohort. In addition, we compared the novel risk model to the previous models based on ROC analysis. ssGSEA analysis was used for function evaluation, and pRRophetic was utilized to predict the sensitivity of administering chemotherapeutic agents.Results: Cluster A patients had favorable survival rates. A total of 23 DEari-genes were correlated with the prognosis of HCC. A five-gene (including BIRC5, KITLG, PGF, SPP1, and SHC1) signature-based risk model was constructed. After regrouping the HCC patients by the median score, we could effectively discriminate between them based on the adverse survival outcome, the unique tumor immune microenvironment, and low chemosensitivity.Conclusion: The five-gene signature-based risk score established by ari-genes showed a promising clinical prediction value.

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Section: Discussionmentioning

confidence: 99%

Angiogenesis-Related Immune Signatures Correlate With Prognosis, Tumor Microenvironment, and Therapeutic Sensitivity in Hepatocellular Carcinoma

Yang

et al. 2021

Front. Mol. Biosci.

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“…Contrasting conclusions emerge from various studies. Wang [11,12] and other studies have shown that chronic schistosomiasis infection is not correlated with the growth pattern, histological type, depth of invasion, or differentiation of colorectal cancer. Instead, it is linked primarily to age, gender, and pathological stage.…”

Section: Clinicopathological Features Of Colorectal Cancer With S Jap...mentioning

confidence: 85%

A retrospective cross-sectional study ： comparison of the clinicopathological features with schistosomal and non-schistosomal colorectal cancer in Central China

Zhu,

Wu,

Ran

et al. 2024

Preprint

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Aim To analyze the clinicopathological features of schistosomal and non-schistosomal colorectal cancer in Central China and compare them with other areas of the Yangtze River Basin. Method The 501 cases of CRC were retrospectively analyzed from 2020 to 2022. They were divided into two groups: 406 cases of colorectal cancer without schistosomiasis (CRC-NS) and 95 cases of colorectal cancer with schistosomiasis (CRC-S). The clinicopathological characteristics included the distribution of schistosomiasis eggs, patient age, sex, tumor differentiation, lymph node metastasis, and clinical stage, etc. By retrieving the database, we compared the clinicopathological differences of colorectal cancer with schistosomiasis in other areas of the Yangtze River basin. Results Colorectal cancer with schistosomiasis infection accounted for 18.9%. CRC-S patients were significantly older than CRC-NS patients (P < 0.05). There was a statistical difference in the location of occurrence (P < 0.05) between the two groups. There were no significant differences between CRC-S and CRC-NS patients in other clinicopathological features (P > 0.05). In other areas of the Yangtze River Basin, there were statistical differences in the age of occurrence and T stage (P < 0.05) between colorectal cancer with schistosomiasis and non-schistosomal colorectal cancer. Conclusion In Central China, colorectal cancer with chronic schistosomiasis infection occurs more in the rectum and sigmoid colon. It is more common in individuals over 60 years old, consistent with the findings in the Yangtze River Basin. Additionally, schistosomal colorectal cancer had a higher TNM stage in the Yangtze River Basin. This may be related to the malignant biological behavior of colorectal cancer and could result in a relatively poor prognosis. Therefore, the elderly population in schistosomiasis endemic areas should pay more attention to early screening and tumor prevention.

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“…After infecting the host, Schistosoma japonicum produces a large number of eggs and deposits them in tissues such as the liver. If timely and effective intervention is not performed, changes such as egg granuloma and liver brosis may further develop into hepatocellular carcinoma 7 . Studies have shown that liver brosis is not a single irreversible progression, and liver brosis may have the potential to regress 8 .…”

Section: Discussionmentioning

confidence: 99%

Using blood routine indicators to establish a machine learning model for predicting liver fibrosis in patients with Schistosoma japonicum

Liu,

Xie,

Zhou

et al. 2023

Preprint

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This study intends to use the basic information and blood routine of schistosomiasis patients to establish a machine learning model for predicting liver fibrosis. We collected medical records of Schistosoma japonicum patients admitted to a hospital in China from June 2019 to June 2022. The method was to screen out the key variables and six different machine learning algorithms were used to establish prediction models. Finally, the optimal model was compared based on AUC, specificity, sensitivity and other indicators for further modeling. The interpretation of the model was shown by using the SHAP package. A total of 1049 patients' medical records were collected, and 10 key variables were screened for modeling using lasso method, including red cell distribution width-standard deviation (RDW-SD), Mean corpuscular hemoglobin concentration (MCHC), Mean corpuscular volume (MCV), hematocrit (HCT), Red blood cells, Eosinophils, Monocytes, Lymphocytes, Neutrophils, Age. Among the 6 different machine learning algorithms, LightGBM performed the best, and its AUCs in the training set and validation set were 1 and 0.818, respectively. This study established a machine learning model for predicting liver fibrosis in patients with Schistosoma japonicum. The model could help improve the early diagnosis and provide early intervention for schistosomiasis patients with liver fibrosis.

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Polarization of intestinal tumour-associated macrophages regulates the development of schistosomal colorectal cancer

Cited by 11 publications

References 47 publications

Angiogenesis-Related Immune Signatures Correlate With Prognosis, Tumor Microenvironment, and Therapeutic Sensitivity in Hepatocellular Carcinoma

Angiogenesis-Related Immune Signatures Correlate With Prognosis, Tumor Microenvironment, and Therapeutic Sensitivity in Hepatocellular Carcinoma

A retrospective cross-sectional study ： comparison of the clinicopathological features with schistosomal and non-schistosomal colorectal cancer in Central China

Using blood routine indicators to establish a machine learning model for predicting liver fibrosis in patients with Schistosoma japonicum

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