The study aims to determine the spatial and temporal variation of a longevous region and explore the correlation between longevity and socioeconomic development. Population data at the township level were obtained from the last four population censuses (1982–2010). Five main lifespan indicators and the Human Development Index (HDI) were calculated. Getis-Ord G*, Gravity modeling, and Pearson’s r between lifespan indicators and HDI were applied. In this study, a stable longevous gathering area was discovered in Hechi during different periods. Under the influence of social and economic development, more longevous areas appeared. However, the effects of genetic and natural environmental factors on longevity were always dominant in this remote and mountainous city. Furthermore, longevity indicators lacked any significant correlation with life expectancy. No significant positive correlation was detected between lifespan indicators and HDI. Thus, we conclude that lifespan indicators can determine the spatial distribution and variation pattern of longevity from multiple dimensions. The geographical scope of longevity in Hechi City is gradually expanding, and significant spatial clustering was detected in southwestern, southern, and eastern parts of Hechi. This study also found that social economic development is likely to have a certain impact on new longevous areas, but their role on extreme longevity is not significant.

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Herein, we demonstrate that dichloromethanol but not difluoromethanol is a viable surrogate of carbon monoxide for prodrug design. The proof of concept was established by the successful development of a...

Background Triple-negative breast cancer (TNBC) is the most malignant subtype of breast cancer and lacks effective biomarkers. This study seeks to unravel the expression status and the prospective transcriptional mechanisms of EZH1/EZH2 in TNBC tissue samples. Moreover, another objective of this study is to reveal the prognostic molecular signatures for risk stratification in TNBC patients. Methods To determine the expression status of EZH1/EZH2 in TNBC tissue samples, microarray analysis and immunohistochemistry were performed on in house breast cancer tissue samples. External mRNA expression matrices were used to verify its expression patterns. Furthermore, the prospective transcriptional mechanisms of EZH1/EZH2 in TNBC were explored by performing differential expression analysis, co-expression analysis, and chromatin immunoprecipitation sequencing analysis. Kaplan–Meier survival analysis and univariate Cox regression analysis were utilized to detect the prognostic molecular signatures in TNBC patients. Nomogram and time-dependent receiver operating characteristic curves were plotted to predict the risk stratification ability of the prognostic-signatures-based Cox model. Results In-house TMAs (66 TNBC vs. 106 non-TNBC) and external gene microarrays, as well as RNA-seq datasets (1,135 TNBC vs. 6,198 non-TNBC) results, confirmed the downregulation of EZH1 at both the protein and mRNA levels (SMD = −0.59 [−0.80, −0.37]), as is opposite to that of EZH2 (SMD = 0.74 [0.40, 1.08]). The upregulated transcriptional target genes of EZH1 were significantly aggregated in the cell cycle pathway, where CCNA2, CCNB1, MAD2L1, and PKMYT1 were determined as key transcriptional targets. Additionally, the downregulated transcriptional targets of EZH2 were enriched in response to the hormone, where ESR1 was identified as the hub gene. The six-signature-based prognostic model produced an impressive performance in this study, with a training AUC of 0.753, 0.981, and 0.977 at 3-, 5-, and 10-year survival probability, respectively. Conclusion EZH1 downregulation may be a key modulator in the progression of TNBC through negative transcriptional regulation by targeting CCNA2, CCNB1, MAD2L1, and PKMYT1.

Purpose Synchronous para-aortic lymph node (PALN) metastasis from colorectal cancer (CRC) is rare, and the positive predictive value of pre-operative CT was low. This study aimed to clarify risk factors radiographic PALN metastasis in left‐sided CRC for improving the accuracy of pre-operative CT scan. Methods Patients with pathologically and radiographically confirmed diagnosis of left-sided CRC were enrolled between January 2019 and August 2021. The Correlations between clinicopathologic data and radiographic PALN metastasis were analyzed chi-squared test or Fisher exact test and the multivariate binary logistic regression model was used for multivariate analyses. Results There were 15(3.56%) patients with radiographic PALN metastasis. The hepatic (P=0.023) and inferior mesenteric lymph nodes (IMLN) (P<0.001) metastases, elevated serum carcinoembryonic antigen (CEA) (P=0.007) and carbohydrate antigen19-9 (CA19-9) (P=0.021) levels, longer tumor length (P=0.003), lower degree of tumor differentiation (P<0.001), deeper tumor invasion (P=0.038), later lymph node staging (P<0.001), perineural invasion (P=0.009) and lymphovascular involvement (P<0.001) were the risk factors for radiographic PALN metastasis. Among them, the radiographic IMLN metastasis (P=0.003, OR=20.927, 95% CI 2.823-155.820) was the only independent risk factor. Conclusion Some clinicopathologic characteristics, especially IMLN metastasis, are the risk factors for PALN metastasis.