| Literature DB >> 31832112 |
Shehua Qian1,2,3, Olga Golubnitschaja4,5,6, Xianquan Zhan1,2,3,7,8.
Abstract
A strong relationship exists between tumor and inflammation, which is the hot point in cancer research. Inflammation can promote the occurrence and development of cancer by promoting blood vessel growth, cancer cell proliferation, and tumor invasiveness, negatively regulating immune response, and changing the efficacy of certain anti-tumor drugs. It has been demonstrated that there are a large number of inflammatory factors and inflammatory cells in the tumor microenvironment, and tumor-promoting immunity and anti-tumor immunity exist simultaneously in the tumor microenvironment. The typical relationship between chronic inflammation and tumor has been presented by the relationships between Helicobacter pylori, chronic gastritis, and gastric cancer; between smoking, development of chronic pneumonia, and lung cancer; and between hepatitis virus (mainly hepatitis virus B and C), development of chronic hepatitis, and liver cancer. The prevention of chronic inflammation is a factor that can prevent cancer, so it effectively inhibits or blocks the occurrence, development, and progression of the chronic inflammation process playing important roles in the prevention of cancer. Monitoring of the causes and inflammatory factors in chronic inflammation processes is a useful way to predict cancer and assess the efficiency of cancer prevention. Chronic inflammation-based biomarkers are useful tools to predict and prevent cancer.Entities:
Keywords: Big data analysis; Biomarkers; Cancer; Chronic inflammation; Collateral pathologies; Epigenetics; Genetics; Global statistics; Individualized patient profile; Inflammatory factors; Machine learning; Modifiable and preventable; Multiomics; Patient stratification; Phenotyping; Predictive preventive personalized medicine; Risk factors
Year: 2019 PMID: 31832112 PMCID: PMC6882964 DOI: 10.1007/s13167-019-00194-x
Source DB: PubMed Journal: EPMA J ISSN: 1878-5077 Impact factor: 6.543
Fig. 1A molecular model proposed for chronic inflammation in cancer. The orange box means the potential therapeutic targets and biomarkers for cancer. The green box means potential therapeutic targets for cancer. The corresponding information on relevant syndromes is provided in the article, for example, regarding the “Flammer syndrome” phenotype, “Individualized patient profiling is instrumental for cancer prediction and prevention” section
Mechanisms of IL-1, IL-6, IL-8, and other proinflammatory factors or downstream molecules of signaling pathway which are activated by proinflammatory factors in different cancers
| Proinflammatory factors or downstream molecules of signaling pathways which are activated by proinflammatory factors | Related cancer | Research models/species | Mechanisms | Biomarker to predict, prevent, or diagnose cancer or therapeutic target | Reference |
|---|---|---|---|---|---|
| IL-1 | Lung cancer | Mouse | Induced angiogenic factors and promoted tumor growth | / | [ |
| Melanoma | B16 melanoma cells | Activated vascular endothelial growth factor and promoted tumor growth | / | [ | |
| Melanoma | Mice | Induced endothelial factor and vascular adhesion factor and promoted the metastasis and invasion of cancer cells | / | [ | |
| Gastric cancer | Mice | Activated NF-κB signaling pathway of MDSCs and promoted tumor growth | / | [ | |
| Breast cancer | Human | Activated MyD88 and IRAK4, activated NF-κB, and promoted the metastasis of cancer cells | Predicted breast cancer patients at increased risk for developing bone metastasis | [ | |
| Breast cancer | Mouse mammary cancer 4T1 cells | Promoted angiogenesis and proliferation of cancer cells | / | [ | |
| Melanoma | Mice | Induced vascular cell adhesion molecule-1 and promoted melanoma metastasis | / | [ | |
| Gastric cancer | Mice | Induced microRNA 135b and promoted metastasis of gastric cancer cells | / | [ | |
| Gastric cancer | Mouse | Affected inflammatory and epithelial cells and enhanced mouse gastric carcinogenesis | / | [ | |
| IL-6 | Renal cell cancer | / | Activated STAT3 and promoted growth, proliferation, and metastasis of cancer cells | / | [ |
| Colorectal cancer | Human | Activated STAT3 and promoted differentiation, proliferation, and survival of cancer cells | / | [ | |
| Breast cancer | Human | Activated PI3K–AKT signaling pathway and regulated survival of cancer cells | A potential therapeutic target | [ | |
| Colorectal cancer | Human | Activated NF-κB signaling pathway and promoted the occurrence of colorectal cancer | A potential biomarker for colorectal cancer | [ | |
| IL-8 | Ovarian cancer | Human ovarian cancer cell lines | Activated TAK1/NF-κB signaling pathway and increased the invasion of ovarian cancer cells | A potential therapeutic target | [ |
| Glioblastoma multiforme | Glioblastoma multiforme cell lines | Bond to CXCR1/2 and promoted proliferation and invasion of tumor cells | / | [ | |
| Lung adenocarcinoma | Cell lines | Activated STAT3 and promoted metastasis of tumor | / | [ | |
| Pancreatic cancer | Cell lines | Activated PI3K/AKT signaling pathway and increased blood vessel growth, cancer cell survival, and migration | / | [ | |
| Colon and lung cancer | Cancer cells | Activated MAPK and ERK1/2 phosphorylation and promoted proliferation, survival, and invasion of cancer cells | / | [ | |
| Hepatocarcinoma | Human hepatocarcinoma cells | Activated AKT and promoted metastasis and growth of cancer cells | / | [ | |
| Osteosarcoma | Cancer cells | Activated AKT and FAK and promoted metastasis, invasion, and proliferation of cancer cells | / | [ | |
| TNF-α | Breast cancer | / | Promoted blood vessel growth and promoted tumor growth and metastasis | / | [ |
| Hepatocellular carcinoma | Human | / | A potential biomarker for predicting the occurrence and recurrence of hepatocellular carcinoma | [ | |
| Melanoma | Cell lines | Promoted cancer cells metastasis | / | [ | |
| Hepatocellular carcinoma | Cell lines, human tissue, and mice | / | A potential therapeutic target | [ | |
| NF-κB | / | / | Regulated proliferation, survival and growth of cells, and linked between inflammatory and cancer | / | [ |
| Chitinase 3-like 1 | Lung cancer | Mouse | Downstream gene of STAT3 | A potential biomarker for predicting inflammatory lung cancer | [ |
| IL-23 | Gastric cancer | Cell | Promoted gastritis and high expression of p53 | / | [ |
| Hepatocellular | Human | Promoted hepatocellular carcinoma metastasis | / | [ | |
| IL-11 | Esophageal squamous cell cancer | Cell lines | Promoted esophageal squamous cell cancer invasion and proliferation | / | [ |
| Endometrial cancer | Cell lines | / | A potential therapeutic target | [ | |
| IL-17 | Lung cancer | Cell | Promoted tumor angiogenesis | A potential therapeutic target | [ |
| Cervical cancer | Human | Promoted angiogenesis and promoted cancer cells proliferation and invasion | A potential therapeutic target and diagnostic marker | [ | |
| IL-5 | Lung cancer | Mouse | Promoted cancer cell metastasis | / | [ |
| Bladder cancer | Cell lines | Promoted the migration and invasion of bladder cancer cells | A potential therapeutic target | [ | |
| IL-33 | Glioma | Human and cell lines | Involved in migration and invasion of cancer cells | A potential therapeutic target | [ |
| Colorectal cancer | Cell lines and mice | Promoted the proliferation of cancer cells | A potential therapeutic target | [ | |
| Ovarian cancer | Cell lines | Promoted the development of cancer | A potential therapeutic target | [ | |
| IL-15 | B cell chronic lymphocytic leukemia | Cells | / | / | [ |
| CCL11 | Ovarian cancer | Cells | Played an important role in the proliferation and invasion of ovarian cells | A potential therapeutic target | [ |
| Glioblastoma | Human | Involved in the progression of glioblastoma | A potential therapeutic target and diagnostic marker | [ |