Identification of the M2 Macrophage-associated Gene THBS2 as a Predictive Marker for Inflammatory Cancer Transformation.

Ulcerative colitis (UC)-induced colitis-associated colorectal cancer (CAC) has a worse prognosis than sporadic colorectal cancer. And with the incidence of ulcerative colitis on the rise, it is critical to identify new therapeutic targets in time to stop the progression of inflammation to cancer. Through immunohistochemistry (IHC) and Gene Expression Omnibus (GEO) database analysis, we acquired the gene M2DEG, which is differentially expressed in M2 macrophages. The impact of M2DEG on the immune environment and clinical variables was confirmed through various data sets and actual tissue samples. Our findings indicate that patients with UC exhibiting reduced M2 macrophage infiltration tend to have more widespread disease, elevated endoscopic Mayo scores, and a higher probability of developing CAC. Through examining the string of M2DEG between UC and CAC, THBS2 emerged as a key marker. Elevated levels of THBS2 were notably linked to reduced overall survival (OS) and progression-free survival (RFS), and this heightened THBS2 expression played a crucial role in the spread of tumors, as verified by immunohistochemical studies. To sum up, patients with UC exhibiting reduced M2 macrophage infiltration have a higher propensity for CAC development, making THBS2 a crucial focus for converting UC into CAC. Furthermore, identifying antibody analogues targeting THBS2 could potentially lower the likelihood of CAC transformation in patients with UC.

Ulcerative colitis patients with low M2DEG expression have more extensive lesions, poorer immune responses, and higher Mayo endoscopic scores, implying a poorer prognosis and a greater likelihood of transformation from UC to CAC. THBS2 is M2DEG's core gene; the search for an antibody targeting THBS2 may help lower the risk of CAC transformation in patients with UC.

Preoperative visceral fat index predicts the survival outcomes of patients with gastric cancer after surgery.

Visceral adipose tissue and skeletal muscle mass are associated with carcinogenesis and clinical outcomes in patients with cancer. The aim of the present study was to determine the influence of body composition parameters on postoperative survival in patients with gastric cancer. Demographic data and systemic inflammatory response data were obtained from patients with gastric cancer undergoing radical gastrectomy. The patient's skeletal muscle and visceral fat were assessed using computed tomography, and the corresponding skeletal muscle index (SMI) and visceral fat index (VFI) were calculated. Univariate and multivariate analyses were then performed. Of the 342 patients from whom information was collected, 125 of these patients eventually succumbed to the disease. A total of 271 (79.24%) of the patients were male and 71 (20.76%) were female. Regarding the entire cohort, the mean age was 64 years [interquartile range (IQR), 56-74 years], while the mean body mass index collected was 21.53 (IQR, 19.27-24.22). The median SMI and VFI of the patients were 47.73 (IQR, 41.67-55.51) and 41.28 (IQR, 36.62-45.36), respectively. It was concluded that a low SMI and VFI were associated with worse survival outcomes. However, the neutrophil-to-lymphocyte ratio and perioperative blood transfusion were not significantly associated with overall survival (OS). Among the indicators assessed, a low VFI was an independent risk factor associated with the worst OS time (hazard ratio 1.59; confidence interval, 1.03-2.45; P=0.038). Finally, a prognostic nomogram was constructed which included the VFI to assist clinicians in making more informed decisions. In conclusion, after data collection and analysis, it was found that there was a significant correlation between a low VFI and a shorter OS time in patients with gastric cancer following gastrectomy, suggesting that VFI may be a promising therapeutic target for postoperative interventions to improve patient survival further.

A New Method for Constructing Macrophage-Associated Predictors of Treatment Efficacy Based on Single-Cell Sequencing Analysis.

Tumor-associated macrophages (TAMs) are highly infiltrated in the tumor microenvironment (TME) of colorectal cancer (CRC) and play a vital role in CRC's development as well as prognosis. The required data were obtained from the Gene Expression Omnibus database and The Cancer Genome Atlas. Univariate Cox regression and least absolute shrinkage operator analyses were executed for model construction. TME assessment and immune prediction were performed using the ESTIMATE software package and the single sample genome enrichment analysis algorithm. The results show patients with low a TAMs risk score (TRS) had a better prognosis in both The Cancer Genome Atlas and Gene Expression Omnibus cohorts. Patients with low TRS were more sensitive to 3 chemotherapeutic agents: oxaliplatin, paclitaxel, and cisplatin ( P <0.05). TME assessment showed that the low TRS group had less infiltration of M2 macrophages and regulatory T cells, but CD4 + T cells, NK cells, and dendritic cells occupy a greater proportion of TME. Low TRS group patients have a low StromalScore and ImmuneScore but have high TumorPurity. The immune checkpoint TIM-3 gene HAVCR2 expression was significantly higher in the high TRS group. Finally, we created a nomogram including TRS for forecasting survival, and TRS was significantly associated with the clinical stage of the patients. In conclusion, the TRS serves as a reliable prognostic indicator of CRC; it predicts patient outcomes to immunotherapy and chemotherapy and provides genomic evidence for the subsequent development of modulated TAMs for treating CRC.