Search

Introduction: The aim of the study was to investigate the clinical characteristics, surgical treatment, and long-term efficacy of primary right heart tumors. Methods: This study is retrospective analysis of the clinical data of 70 patients with primary right heart tumors admitted to our department between 1980 and 2022 (observation group) and 70 patients with left heart tumors during the same period (control group). The surgical treatment was performed under cardiopulmonary bypass after differential diagnosis by echocardiography, cardiac CTA, and PET-CT before the surgery. The perioperative characteristics, recurrence rate, and long-term survival rates of right heart tumor versus left heart tumor were compared. Results: The most common pathological types of right heart tumors were myxoma (60%), lipoma (8.57%), and papillary elastofibroma (7.14%). During the perioperative period, there were 1 case of systemic embolism in the observation group, compared with 6 in the control group (p = 0.026), 13 cases of malignant tumor in the observation group versus 1 in the control group (p = 0.01). During the follow-up period, there were 15 cases of tumor recurrence and 17 cases of death in the observation group versus 4 (p = 0.002) and 7 in the control group (p = 0.006), comparatively. Conclusion: Compared with left heart tumors, primary right heart tumors had a higher incidence of malignant tumors and a lower risk of systemic embolism during perioperative period. During the follow-up period, primary right heart tumors had a higher rate of tumor recurrence and a lower long-term survival rate. [ABSTRACT FROM AUTHOR]

Catchment modelling is an effective approach to simulating the rainfall-runoff process. Estimating parameters is challenging in urban catchments with heterogeneous land use land cover (LULC). This paper describes a novel and reproducible approach to initialise the parameters for modelling catchment hydrology. The Alexandra canal catchment, Australia, was selected as the study catchment. A pixel-based LULC map was generated from the catchment's orbital image using the Deep Learning (DL) techniques. Integrate the LULC map with subcatchment delineation and hydraulic layout, group LULC attributes to compute the area and imperviousness fraction at pixel scale. The distance from each pixel to the subcatchment outlet was vectorised to estimate flow length. The cumulative likelihood and Kolmogorov–Smirnov (KS) were adopted to describe the parameter distributions, evaluate the goodness-of-fit and LULC effect. Results reflect a limited effect of LULC on flow length, and the approach can initialise the parameters for conceptual catchment modelling systems. [ABSTRACT FROM AUTHOR]

Despite various treatment attempts, the heterogenous group of soft tissue sarcomata (STS) with more than 100 subtypes still shows poor outcomes. Therefore, effective biomarkers for prognosis prediction and personalized treatment are of high importance. The Procollagen-Lysine, 2-Oxoglutarate 5-Dioxygenase (PLOD) gene family, which is related to multiple cancer entities, consists of three members which encode important enzymes for the formation of connective tissue. The relation to STS, however, has not yet been explored. In this study, data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases were used to analyze the role of PLOD1–3 in STS. It was found that an overexpression of PLOD family members correlates with poor prognosis, which might be due to an increased infiltration of immune-related cells in the tumor microenvironment. In STS, the expression of PLOD genes could be a novel biomarker for prognosis and a personalized, more aggressive treatment in these patients. [ABSTRACT FROM AUTHOR]

Kinesin family member C1 (KIFC1) is a minus-end-directed motor protein that is critically involved in microtubule crosslinking and spindle formation. KIFC1 is essential for supernumerary centrosomes, and it is associated with the initiation and progression of cancers. In the present study, we initially reviewed the The Cancer Genome Atlas database and observed that KIFC1 is abundantly expressed in most types of tumors. We then analyzed the gene alteration profiles, protein expressions, prognoses, and immune reactivities of KIFC1 in more than 10,000 samples from several well-established databases. In addition, we conducted a gene set enrichment analysis to investigate the potential mechanisms for the roles of KIFC1 in carcinogenesis. The pan-cancer analysis of KIFC1 demonstrates significant statistical correlations of the KIFC1 expression with the clinical prognoses, the oncogenic signature gene sets, the myeloid-derived suppressor cell infiltration, the ImmunoScore, the immune checkpoints, the microsatellite instabilities, and the tumor mutational burdens across multiple tumors. These data may provide important information on the understanding of the role and mechanisms of KIFC1 in carcinogenesis and immunotherapy, as well as on the clinical progression of a variety of cancers. [ABSTRACT FROM AUTHOR]

Pituitary tumor-transforming gene 1 (PTTG1) encodes a multifunctional protein that is involved in many cellular processes. However, the potential role of PTTG1 in tumor formation and its prognostic function in human pan-cancer is still unknown. The analysis of gene alteration, PTTG1 expression, prognostic function, and PTTG1-related immune analysis in 33 types of tumors was performed based on various databases such as The Cancer Genome Atlas database, the Genotype-Tissue Expression database, and the Human Protein Atlas database. Additionally, PTTG1-related gene enrichment analysis was performed to investigate the potential relationship and possible molecular mechanisms between PTTG1 and tumors. Overexpression of PTTG1 may lead to tumor formation and poor prognosis in various tumors. Consequently, PTTG1 acts as a potential oncogene in most tumors. Additionally, PTTG1 is related to immune infiltration, immune checkpoints, tumor mutational burden, and microsatellite instability. Thus, PTTG1 could be potential biomarker for both prognosis and outcomes of tumor treatment and it could also be a promising target in tumor therapy. [ABSTRACT FROM AUTHOR]

Lower-grade glioma (LGG) is a group of tumors arising from the cells of the central nervous system. Although various therapy interventions are used, the prognosis remains different. Novel biomarkers are needed for the prognosis of disease and novel therapeutic strategies in LGG. The procollagen-lysine, 2-oxoglutarate 5-dioxygenase (PLOD) family contains three members and is related to multiple cancers, yet it was not investigated in LGG. Data from the Chinese Glioma Genome Atlas (CGGA) and The Cancer Genome Atlas (TCGA) cohorts were used to analyze the role of PLOD in LGG. As the PLOD family is involved in processes, such as tumor formation and cancer metastasis, we focused on its relationship to the tumor microenvironment (TME) in LGG. A high expression of the PLOD family relates to poor prognosis and high infiltration of immune cells within the TME. The expression level of the PLOD family might become a novel biomarker for prognosis and is a potential target for individual treatment decisions in LGG. [ABSTRACT FROM AUTHOR]

Simple Summary: Soft tissue sarcomas (STS) are a group of rare malignant tumors with high tissue heterogeneity and poor prognosis, and which are still without effective individualized immunotherapy approaches. In this study, four potential tumor antigens, six STS immune subtypes, and six functional gene modules were identified. The different immune subtypes have different molecular, cellular, and clinical characteristics. The superiority of mRNA vaccine therapies has been demonstrated during the current pandemic as well as in tumor vaccine studies, and the present study provides guidance for future mRNA vaccine development. Furthermore, in future individualized immunotherapies for STS, it is possible to select different immunotherapies based on the different immune subtypes identified in this study. In fact, the immune subtypes identified in this study explain, to some extent, the failure of immunotherapy for certain STS subtypes in previous clinical trials, and facilitate further understanding of strategy selection for the immunotherapy of STS. To our knowledge, this is the first study to address STS mRNA vaccine development and immunophenotyping. This study provides a theoretical framework for STS mRNA vaccine development and the selection of patients for vaccination and provides a reference for promoting individualized immunotherapy. Soft tissue sarcomas (STS) are a rare disease with high recurrence rates and poor prognosis. Missing therapy options together with the high heterogeneity of this tumor type gives impetus to the development of individualized treatment approaches. This study identifies potential tumor antigens for the development of mRNA tumor vaccines for STS and explores potential immune subtypes, stratifying patients for immunotherapy. RNA-sequencing data and clinical information were extracted from 189 STS samples from The Cancer Genome Atlas (TCGA) and microarray data were extracted from 103 STS samples from the Gene Expression Omnibus (GEO). Potential tumor antigens were identified using cBioportal, the Oncomine database, and prognostic analyses. Consensus clustering was used to define immune subtypes and immune gene modules, and graph learning-based dimensionality reduction analysis was used to depict the immune landscape. Finally, four potential tumor antigens were identified, each related to prognosis and antigen-presenting cell infiltration in STS: HLTF, ITGA10, PLCG1, and TTC3. Six immune subtypes and six gene modules were defined and validated in an independent cohort. The different immune subtypes have different molecular, cellular, and clinical characteristics. The immune landscape of STS reveals the immunity-related distribution of patients and intra-cluster heterogeneity of immune subtypes. This study provides a theoretical framework for STS mRNA vaccine development and the selection of patients for vaccination, and provides a reference for promoting individualized immunotherapy. [ABSTRACT FROM AUTHOR]

The trophic structure the Lvsi Fishing Ground (LSFG) ecosystem in the East China Sea was analyzed by using two methods: mass-balance modeling (Ecopath) and stable isotope analysis (SIA). Trophic levels (TLs) of the main functional groups estimated from the two methods were compared. The Ecopath model was built based on the fishery resource survey in the Lvsi Fishing Ground in 2018. Specifically, data on species composition, biomass, diet composition and fishey catches around the region were obtained from the survey. The model consisted of 14 functional groups, including plankton, benthos, fish, cephalopods, shrimps and crabs. TLs of the main functional groups were estimated to be between 2.00 (zooplankton) and 3.22 (congers). The total transfer efficiencies from levels II to VI were 2.84%, 20.41%, 19.27%, 19.31% and 19.32% respectively. Shrimps and trawling fisheries have major trophic impacts on most functional groups in the LSFG ecosystem. The total system throughput was estimated to be 7060 t km−2 year−1. TLs derived from isotopic analysis were highly correlated with those estimated from Ecopath (y = 0.6484 x +0.4715, R2 = 0.83, P < 0.05). On average, Ecopath underestimated the TLs of the functional groups by approximately 8.83% compared to those estimated from SIA. This study suggests that these two complementary methods should be used together to validate trophic levels when balancing ecosystem structures. • In this study, we designed an Ecopath model to provide a quantitative description of the LSFG ecosystem for the first time, and compared the TLs of key functional groups estimated from SIA and Ecopath trophic dynamic modeling by using the LSFG ecosystem as a case study. • Our purpose is to provide a theoretical reference for future next studies of ecological nutrition dynamics and basic parameters and scientific recommendations for the restoration of coastal ecological environments and rational utilization of ecological resources. [ABSTRACT FROM AUTHOR]

The overexpression of the enzymes involved in the degradation of procollagen lysine is correlated with various tumor entities. Procollagen-lysine, 2-oxoglutarate 5-dioxygenase 3 (PLOD3) expression was found to be correlated to the progression and migration of cancer cells in gastric, lung and prostate cancer. Here, we analyzed the gene expression, protein expression, and the clinical parameters of survival across 33 cancers based on the Clinical Proteomic Tumor Analysis Consortium (CPTAC), function annotation of the mammalian genome 5 (FANTOM5), Gene Expression Omnibus (GEO), Genotype-Tissue Expression (GTEx), Human Protein Atlas (HPA) and The Cancer Genome Atlas (TCGA) databases. Genetic alteration, immune infiltration and relevant cellular pathways were analyzed in detail. PLOD3 expression negatively correlated with survival periods and the infiltration level of CD8+ T cells, but positively correlated to the infiltration of cancer associated fibroblasts in diverse cancers. Immunohistochemistry in colon carcinomas, glioblastomas, and soft tissue sarcomas further confirm PLOD 3 expression in human cancer tissue. Moreover, amplification and mutation accounted for the largest proportion in esophageal adenocarcinoma and uterine corpus endometrial carcinoma, respectively; the copy number alteration of PLOD3 appeared in all cancers from TCGA; and molecular mechanisms further proved the effect of PLOD3 on tumorigenesis. In particular, PLOD3 expression appears to have a tumor immunological effect, and is related to multiple immune cells. Furthermore, it is also associated with tumor mutation burden and microsatellite instability in various tumors. PLOD3 acts as an inducer of various cancers, and it could be a potential biomarker for prognosis and targeted treatment. [ABSTRACT FROM AUTHOR]

Heat shock protein family A member 5 (HSPA5) plays a pivotal role in the endoplasmic reticulum (ER) stress response and unfolded protein response (UPR), both of which are crucial for protein folding, assembly, and quality control within cells. In response to ER stress, HSPA5 becomes overexpressed to preserve cellular homeostasis. A previous study revealed a robust association between HSPA5 expression and various cancers. However, the prognostic function of HSPA5 and its involvement in tumor formation remain largely unknown. In this study, we integrated HSPA5 expression data from databases such as the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and The Cancer Genome Atlas (TCGA) to conduct a comprehensive pan-cancer analysis of HSPA5. Our findings revealed that HSPA5 is overexpressed in various tumor types and is significantly associated with poor prognosis. Additionally, HSPA5 expression is significantly correlated with immune checkpoints, stromal infiltration, and consequent alterations in the immune landscape. Verification was conducted on samples from patients with various tumor types, including breast and liver cancers. Additionally, we also performed verification in vitro. In conclusion, HSPA5 may offer a potential target for cancer treatment., Competing Interests: None., (AJCR Copyright © 2023.)

The diaphanous-related formin subfamily includes diaphanous homolog 1 (DIAPH1), DIAPH2, and DIAPH3. DIAPHs play a role in the regulation of actin nucleation and polymerization and in microtubule stability. DIAPH3 also regulates the assembly and bipolarity of mitotic spindles. Accumulating evidence has shown that DIAPHs are anomalously regulated during malignancy. In this study, we reviewed The Cancer Genome Atlas database and found that DIAPHs are abundantly expressed in pancreatic adenocarcinoma (PAAD). Furthermore, we analyzed the gene alteration profiles, protein expression, prognosis, and immune reactivity of DIAPHs in PAAD using data from several well-established databases. In addition, we conducted gene set enrichment analysis to investigate the potential mechanisms underlying the roles of DIAPHs in the carcinogenesis of PAAD. Finally, we performed the experimental validation of DIAPHs expression in several pancreatic cancer cell lines and tissues of patients. This study demonstrated significant correlations between DIAPHs expression and clinical prognosis, oncogenic signature gene sets, T helper 2 cell infiltration, plasmacytoid dendritic cell infiltration, myeloid-derived suppressor cell infiltration, ImmunoScore, and immune checkpoints in PAAD. These data may provide important information regarding the role and mechanisms of DIAPHs in tumorigenesis and PAAD immunotherapy., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Zhang, Hu, Li, Xu, Xie, Liu, Xu, Gong and Wu.)

Background and Aims: There is sparse information on the prognostic value of B-type natriuretic peptide (BNP) for the outcomes in patients with left ventricular thrombus (LVT). Methods: Patients diagnosed with LVT by transthoracic echocardiography between November 2009 to July 2020 at our institution were included. The endpoints were all-cause mortality and systemic embolism. Results: Ninety-two subjects were finally included in the study. The mean age of the cohort was 56.73 ± 14.12, and 80.4% of the patients were male. The median BNP (1st quartile-3rd quartile) was 437.5 (112.74-1317.5). The total all-cause mortality rate was 30.44% (28/92), and the 1-year, 2-year, and 3-year cumulative survival rates were 85.4, 75.5, and 66.5%, respectively. Systemic embolism was identified in 10 subjects. COX multivariate analysis showed that Log BNP (HR, 4.16; 95%CI, 1.81-9.56; P = 0.001) and BMI (HR, 0.86; 95%CI, 0.73-0.99; P = 0.048) were significantly associated with all-cause mortality. In addition, patients with BNP levels in the upper median (≥ 437.5 pg/ml) had significantly higher all-cause mortality rate compared to those with lower median BNP (<437.5 pg/ml; P = 0.004). The area under the receiver operating characteristic curve for BNP and all-cause mortality was 0.71. In the linear trend test, BNP quartiles were significantly related to all-cause mortality in all models, and the P -values for trend in models 1, 2, and 3 were 0.005, 0.006, and 0.048, respectively. Conclusion: BNP level is a prognostic factor for all-cause mortality in LVT patients, and elevated BNP is indicative of a higher risk of LVT., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 An, Gao, Wang, Hou, Zhang, Gong, Rao, Li and Qin.)

Objective: To explore the clinical features and surgical treatment experience of primary cardiac valve tumor., Methods: The present study retrospectively analyzed the clinical data of 11 patients with primary valvular tumors who underwent surgical treatment in our department from 1980 to 2016. Echocardiography of preoperative patients was indicated as a heart valve tumor. All patients underwent cardiopulmonary bypass surgery after endocardial angiography and positron emission tomography-computed tomography diagnosis, including four tumor resections-valvuloplasty and seven tumor resections-heart valve replacement. Pathological analysis was performed on all tumors. Postoperative cardiac ultrasound was followed up. Pathological analysis was performed on all tumors. All patients underwent postoperative ultrasound follow-up examination., Results: Primary valvular tumors are rare, accounting for only 0.034% (11/32.728) of extracorporeal circulation surgery in our center. It accounts for 2.8% (11/399) of primary cardiac tumors in the same period. Pathological study indicated that there were 10 cases of benign tumor and 1 case of low-grade sarcoma. After 0.6-16 years of follow-up, the operation effect was satisfactory., Conclusion: Most of these tumors are papillary fibroelastoma located on the mitral valve, and surgical operation is the best strategy for cardiac primary valve tumors.