Results regarding whether it is essential to incorporate genetic variants into risk prediction models for esophageal cancer (EC) are inconsistent due to the different genetic backgrounds of the populations studied. We aimed to identify single-nucleotide polymorphisms (SNPs) associated with EC among the Chinese population and to evaluate the performance of genetic and non-genetic factors in a risk model for developing EC.

A meta-analysis was performed to systematically identify potential SNPs, which were further verified by a case-control study. Three risk models were developed: a genetic model with weighted genetic risk score (wGRS) based on promising SNPs, a non-genetic model with environmental risk factors, and a combined model including both genetic and non-genetic factors. The discrimination ability of the models was compared using the area under the receiver operating characteristic curve (AUC) and the net reclassification index (NRI). The Akaike information criterion (AIC) and Bayesian information criterion (BIC) were used to assess the goodness-of-fit of the models.

Five promising SNPs were ultimately utilized to calculate the wGRS. Individuals in the highest quartile of the wGRS had a 4.93-fold (95% confidence interval [CI]: 2.59 to 9.38) increased risk of EC compared with those in the lowest quartile. The genetic or non-genetic model identified EC patients with AUCs ranging from 0.618 to 0.650. The combined model had an AUC of 0.707 (95% CI: 0.669 to 0.743) and was the best-fitting model (AIC = 750.55, BIC = 759.34). The NRI improved when the wGRS was added to the risk model with non-genetic factors only (NRI = 0.082, P = 0.037).

Among the three risk models for EC, the combined model showed optimal predictive performance and can help to identify individuals at risk of EC for tailored preventive measures.

(1) Background: China has the highest esophageal squamous cell carcinoma (ESCC) incidence areas in the world, with some areas of incidence over 100 per 100,000. Despite extensive public health efforts, its etiology is still poorly understood. This study aims to review and summarize past research into potential etiologic factors for ESCC in China. (2) Methods: Relevant observational and intervention studies were systematically extracted from four databases using key terms, reviewed using Rayyan software, and summarized into Excel tables. (3) Results: Among the 207 studies included in this review, 129 studies were focused on genetic etiologic factors, followed by 22 studies focused on dietary-related factors, 19 studies focused on HPV-related factors, and 37 studies focused on other factors. (4) Conclusions: ESCC in China involves a variety of factors including genetic variations, gene-environment interactions, dietary factors like alcohol, tobacco use, pickled vegetables, and salted meat, dietary behavior such as hot food/drink consumption, infections like HPV, poor oral health, gastric atrophy, and socioeconomic factors. Public health measures should prioritize genetic screening for relevant polymorphisms, conduct comprehensive investigations into environmental, dietary, and HPV influences, enhance oral health education, and consider socioeconomic factors overall as integral strategies to reduce ESCC in high-risk areas of China.

Established in 2017, the Screening Cohort for Asian Nomadic descendants in China (Scan-China) has benefited over 180,000 members of a multi-ethnic population, particularly individuals of Mongolian descent compared with the general population (Han ethnicity), in the Inner Mongolia Autonomous Region, China. This cohort study aims to evaluate the effectiveness of cancer screening and serve as a real-world data platform for cancer studies. The 6 most prevalent cancers in China are considered-namely, breast, lung, colorectal, gastric, liver and esophageal cancer. After baseline cancer risk assessments and screening tests, both active and passive follow-up (based on the healthcare insurance database, cancer registry, the front page of hospital medical records, and death certificates) will be conducted to trace participants' onset and progression of cancers and other prevalent chronic diseases. Scan-China has preliminarily found a disproportionately lower screening participation rate and higher incidence/mortality rates of esophageal and breast cancer among the Mongolian population than among their Han counterparts. Further research will explore the cancer burden, natural history, treatment patterns, and risk factors of the target cancers.

Background: Upper gastrointestinal tract cancers are the leading causes of cancer-related deaths in Northwest China and they share many similarities in terms of histological type, risk factors, and genetic variants. We hypothesized that shared common single-nucleotide polymorphisms (SNPs) in the p53 pathway exist between patients with gastric and esophageal cancer (EC) patients. Materials and Methods: A case-control study to examine genetic variants in the p53 pathway was conducted with subjects from a high-incidence area for upper gastrointestinal cancers of China. Multiple logistic regression analyses were used to estimate the association of genotypes with gastric cancer and EC risks. Median survival was estimated by using the Kaplan-Meier method and compared by using the log-rank test. Results: Compared with the rs1042522 Pro allele, the rs1042522 Arg allele was associated with an increased risk of gastric cancer (1.810×) and an increased risk of EC (2.285×). The rs1042522 Arg allele carriers who also smoked or consumed alcohol had a further increased risk for gastric cancer odds ratios (OR_smoking = 2.422, OR_drinking = 5.152) and EC (OR_smoking = 5.310, OR_drinking = 8.359). No association was found between the rs1042522 genotypes and survival (p > 0.05). Conclusion: The p53 rs1042522 arg allele together with tobacco smoking and alcohol drinking, was associated with an increased risk, for gastric cancer and EC, but not the survival among northwestern Chinese patients. These associations warrant confirmatory studies.

Esophageal cancer is a major public health issue in China. Mongolian Mind-Body Interactive Psychotherapy (MMIP) is a new psychotherapy that combines modern psychology with traditional Mongolian medicine. Previous cases have shown better quality of life (QoL) after MMIP in patients with cancer and other diseases. This study aimed to shed light on the effect of MMIP on the quality of life of patients in Inner Mongolia. A total of 21 patients diagnosed with esophageal cancer were studied. QoL assessment was performed using the two questionnaires of EORTC QLQ-OES 18 and QLICP-OES. The results showed that MMIP had statistical significant improvement on body function, psychological function, common symptoms, and side effects, such as reflux. As alternative and complementary medicine, MMIP could help esophageal cancer patients experience better QoL. Further large-scale studies are required to determine the impact of MMIP for QoL in patients undergoing surgery or chemotherapy for esophageal cancer.

Postoperative adjuvant chemotherapy is not indicated for T1N1M0/T2N0M0/T3N0M0 gastric cancer. However, approximately 10% to 30% of these patients experience recurrence and metastasis.

Among 658 patients with gastric cancer who received gastrectomy with curative intent, 130 T1N1M0/T2N0M0 and 73 T3N0M0 patients were enrolled. Overall survival (OS) and relapse-free survival (RFS) were analyzed based on TP53 codon 72 polymorphisms Arg/Arg, Arg/Pro, and Pro/Pro. The hazard ratio (HR) for each subgroup was compared by TP53 codon 72 polymorphisms.

Of the 189 patients for whom polymorphism analysis results were available, the 5- and 10-year OS was 84.9% and 65.1%, respectively. The 5- and 10-year RFS was 81.8% and 65.4%, respectively. When the study cohort was divided into two groups according to polymorphism status (ie, "Arg/Arg and Arg/Pro" vs Pro/Pro), both the OS (HR, 2.799; 95% confidence interval [CI], 1.071-7.315; P = .036) and RFS (HR, 2.639; 95% CI, 1.025-6.794; P = .044) of the Pro/Pro group were significantly lower than those for the Arg/Arg and Arg/Pro groups across the entire observation period.

The TP53 codon 72 Pro/Pro polymorphism may isolate a relatively high-risk patient group in T1N1M0/T2N0M0/T3N0M0 gastric cancer.