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Introduction: The selection of an optimal scale or granularity in landscape analysis is pivotal for uncovering inherent patterns and changes driven by processes. Variations in spatial resolution can significantly alter the proportions and distributions of various landscape types, thereby impacting the assessment of landscape patterns. Despite its importance, the scale factor is frequently neglected in studies focusing on long-term landscape dynamics. Methods: Bridging this gap, we utilized remote sensing imagery data from 1986 to 2020 for Lushui City, integrating remote sensing (RS) and geographic information system (GIS) technologies to generate land cover maps. Our focus centered on investigating the sensitivity of landscape pattern indices within the 30-1000m scale. Combining the first scale domain with an information loss assessment model, we identified the optimal granularity for the analysis, conducting a detailed spatiotemporal examination of landscape pattern from 1986 to 2020 using the index analysis method. Results and discussion: The results show that: (1) The dominance of forests in Lushui City, yet reveal a significant increase in construction land area over the study period, primarily driven by the conversion of forest and grassland. (2) Among the 10 examined indices, four (PD, ED, TE, and LSI) demonstrated predictable responses to changes in granularity, while three (PAFEAC, COHESION, AI) exhibited unpredictable stepwise reactions. Three indices (LPI, SHDI, PLAND) displayed minimal regularity to granularity changes. (3) The optimal long-term landscape analysis granularity for Lushui was identified as 100 m. (4) Before 1996, the city's landscape exhibited characteristics of aggregation, good connectivity, and minimal anthropogenic disturbance. However, post-1996, the landscape experienced disruptions, leading to an overall increase in fragmentation. The expansion of cultivated land and construction land due to urbanization has intensified landscape fragmentation. However, policies such as converting cropland to forest and planned ecological civilization initiatives have restored forest coverage and improved landscape cohesion and connectivity in Lushui City. This research offers vital insights for ecological planning and resource management in alpine valley watershed cities, deepening our grasp of landscape pattern evolution. [ABSTRACT FROM AUTHOR]

Simple Summary: The lack of precision biomarkers hinders the development of individualized immunotherapy for esophageal cancer (ESCA) patients. The activation of WNT signaling has proved to be associated with the primary resistance to immunotherapy. Therefore, our study aims to develop efficient biomarkers based on WNT signaling to guide ESCA immunotherapy. In the TCGA cohort with 196 cases and our BJCH cohort with 95 cases, we successfully constructed an IGFBP1hiWNT3Alo signature and validated its correlation with the poor prognosis of ESCA patients. Moreover, in 2 GEO cohorts with a total of 68 cases and our BJIM cohort with 21 cases, we verified that IGFBP1hiWNT3Alo ESCA patients had a good response and prognosis with immunotherapy. Our findings indicate that the IGFBP1hiWNT3Alo signature was a potential immunotherapeutic biomarker for ESCA. PD-(L)1 inhibitor could improve the survival of locally advanced esophageal cancer (ESCA) patients, but we cannot tailor the treatment to common biomarkers. WNT signaling activation was associated with primary resistance to immunotherapy. In this study, we used our two clinical cohorts (BJCH n = 95, BJIM n = 21) and three public cohorts to evaluate and verify a new immunotherapeutic biomarker based on WNT signaling in ESCA patients. Our findings showed that WNT signaling-related genes stratified TCGA patients into Cluster 1, 2, and 3, among which, Cluster 3 had the worst prognosis. The most up- and down-regulated genes in Cluster 3 were IGFBP1 and WNT3A. Further analysis validated that IGFBP1hiWNT3Alo ESCA patients had significantly poor RFS and OS in the TCGA and BJCH cohorts. Interestingly, IGFBP1hiWNT3Alo patients had a good response and prognosis with immunotherapy in three independent cohorts, exhibiting better predictive value than PD-L1 expression (signature AUC = 0.750; PD-L1 AUC = 0.571). Moreover, IGFBP1hiWNT3Alo patients may benefit more from immunotherapy than standard treatment (p = 0.026). Immune cell infiltration analysis revealed a significant increase in DC infiltration in IGFBP1hiWNT3Alo patients post-immunotherapy (p = 0.022), which may enhance immune response. The IGFBP1hiWNT3Alo signature could predict patients who benefited from PD-(L)1 inhibitor treatment and may serve as a biomarker in ESCA. [ABSTRACT FROM AUTHOR]

Introduction: Due to the high recurrence, the HCC prognosis remains poor. Yet, the biomarkers for predicting the recurrence of high-risk patients are currently lacking. We aimed to develop a signature to predict the recurrence of HCC based on NKG2D ligands., Methods: The multivariate Cox proportional hazards regression was used to select recurrence-related variables of NKG2D ligands in HCC patients from The Cancer Genome Atlas (TCGA). HCC patients from the OEP000321 dataset and Guilin cohort were used to validate the predictive signature. The mRNA expression of NKG2D ligands was measured by QRT-PCR. Immunohistochemistry analysis of HCC tissue microarray samples was used to identify the expression of NKG2D ligands., Results: In this study, NKG2D ligands expression in the mRNA and protein level was both abnormally expressed in HCC and associated with recurrence-free survival (RFS). Then, the recurrence-related variables of NKG2D ligands in HCC were selected by the multivariate Cox proportional hazards regression. Among the eight NKG2D ligands, MICA (HR = 1.347; 95% CI = 1.012-1.793; p = 0.041), ULBP3 (HR = 0.453; 95% CI = 0.231-0.889; p = 0.021) and ULBP5 (HR = 3.617; 95% CI = 1.819-7.194; p < 0.001) were significantly correlated with RFS in the TCGA-LIHC cohort. Then, the signature was constructed by the three NKG2D ligands. The predictive effectiveness of this signature was also validated in the OEP000321 dataset and Guilin cohort. Further, HCC patients were classified into low-risk and high-risk subgroups by the predictive score. Compared with the low-risk group, the high-risk group had poor RFS in both training and validation cohorts. Importantly, compared with the low-risk patients with the G1-G2 stage, the levels of infiltrated NK-activated cells and NKG2D expression were both lower in the high-risk patients., Conclusions: The signature based on MICA, ULBP3, and ULBP5 could predict HCC recurrence., (© 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)

Objective: This paper aimed to explore the effects of radiotherapy after thoracic and laparoscopic surgery (TLS) in patients with esophageal cancer and on their prognoses., Methods: Altogether 118 patients with esophageal cancer diagnosed in our hospital were recruited as the study cohort and randomly divided into a postoperative radiotherapy group (59 cases) and a postoperative chemotherapy group (59 cases). All the patients were treated with TLS. In addition to the TLS, the patients in the postoperative radiotherapy group underwent radiotherapy, and the patients in the postoperative chemotherapy group were administered cisplatin and 5-fluorouracil (PF) chemotherapy. Before the treatment and at 6 months after the treatment, the serum carbohydrate antigen 199 (CA199), carbohydrate antigen 153 (CA153), and carcinoembryonic antigen (CEA) levels were measured using immunity transmission turbidity (ITT). The expression levels of Bax and Bcl-2 in the peripheral blood mononuclear cells (PBMCs) were measured using Western blot (WB). The CD4 + , CD8 + and CD3 + levels in the peripheral venous blood were measured using a flow cytometer. The two groups were compared in terms of their effective treatment rates, their incidences of complications, and their postoperative survival rates., Results: After the treatment, the serum CEA, CA153, and CA199 levels in the postoperative radiotherapy group were significantly lower than they were in the postoperative chemotherapy group (P<0.05). After the treatment, the expression level of Bcl-2 was significantly lower in the postoperative radiotherapy group, but the Bax expression level was significantly higher in the postoperative radiotherapy group (P<0.05). After the treatment, there were no statistically significant differences in the CD4 + , CD3 + or CD8 + levels between the two groups (P>0.05). After the treatment, the overall response rate (ORR) and the total incidence of adverse reactions were significantly higher in the postoperative radiotherapy group (P<0.05). After the treatment, the 1-year, 3-year, and 5-year survival rates were significantly elevated in the postoperative radiotherapy group (P<0.05)., Conclusion: Compared with the esophageal cancer patients treated with chemotherapy after TLS, the serum CA153, CA199, and CEA levels were significantly improved in the patients treated with radiotherapy. The Bcl-2 and Bax levels in the PBMCs tended close to normal. Therefore, undergoing radiotherapy after TLS is markedly effective in prolonging patients' survival times and improving their prognoses., Competing Interests: None., (AJTR Copyright © 2021.)