Female ; Humans ; Endodermal Sinus Tumor/pathology* ; Adenocarcinoma/pathology* ; Choriocarcinoma/pathology*

Objective: To investigate the clinicopathological characteristics of esophageal carcinoma with gland duct differentiation. Methods: The clinical, morphologic and immunohistochemical (IHC) features of eight cases of esophageal carcinoma with gland duct differentiation diagnosed from 2012 to 2022 at the First Affiliated Hospital of Soochow University were summarized. Results: There were four males and four females, with a mean age of 68.5 (range 59-82) years. Two tumors were located in middle esophagus, five in the lower esophagus, and one in the cardia. The mean diameter was 2.4 cm (range 0.6-4.5 cm). The tumor had a bilayer epithelial structure, including the inner luminal epithelium and the outer basal epithelium. Immunohistochemistry showed that CK7 (8/8) and CK18 (8/8) were positive in the inner epithelium. p40 (8/8), p63 (8/8) and CK5/6 (8/8) were positive in the outer epithelium. SMA, calponin and CD117 were all negative. p53 mutants were found in all eight cases (strong and diffuse positivity in 6/8; complete loss of expression in 2/8). No columnar metaplasia, intestinal metaplasia and ectopic gastric mucosa were observed in the surface squamous epithelium in the cases. The mean follow-up time was 21.5 months (range 5-51 months). Seven patients survived and one patient died 31 months after surgery due to recurrence and liver metastasis. Conclusion: Esophageal carcinoma with esophageal gland duct differentiation is a rare tumor with unique histologic and IHC characteristics.
Male ; Female ; Humans ; Middle Aged ; Aged ; Aged, 80 and over ; Esophageal Neoplasms/pathology* ; Epithelium/pathology* ; Metaplasia/metabolism* ; Carcinoma/pathology*

Humans ; Herpesvirus 4, Human ; Epstein-Barr Virus Infections/complications* ; Cholangiocarcinoma/pathology* ; Carcinoma, Squamous Cell ; Bile Ducts, Intrahepatic/pathology* ; Bile Duct Neoplasms/pathology*

Objective: To investigate the clinicopathological features of perivascular epithelioid cell tumor (PEComa) of the lung. Methods: Eight PEComa cases of the lung diagnosed at the First Affiliated Hospital of Soochow University, Suzhou, China from July 2008 to December 2021 were collected and subject to immunohistochemical staining, fluorescence in situ hybridization and next generation sequencing. The relevant literature was reviewed and the clinicopathological features were analyzed. Results: There were 5 males and 3 females, aged from 18 to 70 years (mean 39 years). There were 3 cases of the right upper lung, 3 cases of the left lower lung, 1 case of the left upper lung and 1 case of the right middle lung. Seven cases were solitary and 1 case was multifocal (4 lesions). Seven cases were benign while one was malignant. The tumors were all located in the peripheral part of the lung, with a maximum diameter of 0.2-4.0 cm. Grossly, they were oval and well circumscribed. Microscopically, the tumor cells were oval, short spindle-shaped, arranged in solid nests, acinar or hemangiopericytoma-like patterns, with clear or eosinophilic cytoplasm. The stroma was rich in blood vessels with hyalinization. Coagulated necrosis and high-grade nuclei were seen in the malignant case, and calcification was seen in 2 cases. Immunohistochemically, the tumor cells were positive for Melan A (8/8), HMB45 (7/8), CD34 (6/8), TFE3 (4/7), and SMA (3/8). All cases were negative for CKpan and S-100. TFE3 (Xp11.2) gene fusion was examined using the TFE3 break-apart fluorescence in situ hybridization in 5 cases, in which only the malignant case was positive. The next generation sequencing revealed the SFPQ-TFE3 [t(X;1)(p11.2;p34)] fusion. Follow-up of the patients ranged from 12 to 173 months while one patient was lost to the follow-up. The malignant case had tumor metastasis to the brain 4 years after the operation and then received radiotherapy. Other 6 cases had no recurrence and metastasis, and all the 7 patients survived. Conclusions: Most of the PEComas of the lung are benign. When there are malignant morphological features such as necrosis, high-grade nuclei or SFPQ-TFE3 gene fusion, close follow-up seems necessary.
Male ; Female ; Humans ; In Situ Hybridization, Fluorescence ; Perivascular Epithelioid Cell Neoplasms/pathology* ; Lung/pathology* ; Basic Helix-Loop-Helix Leucine Zipper Transcription Factors/genetics* ; Necrosis ; Biomarkers, Tumor/analysis*

Objective: To explore the potential pathogenesis of clear cell renal cell carcinoma (ccRCC) based on the HIF-1α/ACLY signaling pathway, as well as to provide new ideas for the treatment of ccRCC. Methods: Seventy-eight ccRCC cases diagnosed at the First Affiliated Hospital of Soochow University, Suzhou, China were collected. The VHL mutation was examined using exon sequencing. The expression of HIF-1α/ACLY in VHL-mutated ccRCC was evaluated using immunohistochemical staining and further validated in VHL-mutated ccRCC cell lines (786-O, A498, UM-RC-2, SNU-333, and Caki-2) using Western blot. The mRNA and protein levels of ACLY were detected using real-time quantitative PCR and Western blot after overexpression or interference with HIF-1α in ccRCC cell lines. HeLa cells were treated with CoCl₂ and hypoxia (1%O₂) to activate HIF-1α and then subject to the detection of the ACLY mRNA and protein levels. The potential molecular mechanism of HIF-1α-induced ACLY activation was explored through JASPAR database combined with chromatin immunoprecipitation assay (ChIP) and luciferase reporter gene assay. The effect of HIF-1α/ACLY regulation axis on lipid accumulation was detected using BODIPY staining and other cell biological techniques. The expression of ACLY was compared between patients with ccRCC and those with benign lesions, and the feasibility of ACLY as a prognostic indicator for ccRCC was explored through survival analysis. Results: Exon sequencing revealed that 55 (70.5%) of the 78 ccRCC patients harbored a VHL inactivation mutation, and HIF-1α expression was associated with ACLY protein levels. The protein levels of ACLY and HIF-1α in ccRCC cell lines carrying VHL mutation were also correlated to various degrees. Overexpression of HIF-1α in A498 cells increased the mRNA and protein levels of ACLY, and knockdown of HIF-1α in Caki-2 cells inhibited the mRNA and protein levels of ACLY (P<0.001 for all). CoCl₂ and hypoxia treatment significantly increased the mRNA and protein levels of ACLY by activating HIF-1α (P<0.001 for all). The quantification of transcriptional activity of luciferase reporter gene and ChIP-qPCR results suggested that HIF-1α could directly bind to ACLY promoter region to transcriptionally activate ACLY expression and increase ACLY protein level (P<0.001 for all). The results of BODIPY staining suggested that the content of free fatty acids in cell lines was associated with the levels of HIF-1α and ACLY. The depletion of HIF-1α could effectively reduce the accumulation of lipid in cells, while the overexpression of ACLY could reverse this process. At the same time, cell function experiments showed that the proliferation rate of ccRCC cells with HIF-1α knockdown was significantly decreased, and overexpression of ACLY could restore proliferation of these tumor cells (P<0.001). Survival analysis further showed that compared with the ccRCC patients with low ACLY expression, the ccRCC patients with high ACLY expression had a poorer prognosis and a shorter median survival (P<0.001). Conclusions: VHL mutation-mediated HIF-1α overexpression in ccRCC promotes lipid synthesis and tumor progression by activating ACLY. Targeting the HIF-1α/ACLY signaling axis may provide a theoretical basis for the clinical diagnosis and treatment of ccRCC.
Humans ; Carcinoma, Renal Cell/pathology* ; Kidney Neoplasms/pathology* ; HeLa Cells ; Von Hippel-Lindau Tumor Suppressor Protein/genetics* ; Mutation ; Signal Transduction ; Luciferases/therapeutic use* ; Hypoxia/genetics* ; RNA, Messenger ; Lipids/therapeutic use* ; Hypoxia-Inducible Factor 1, alpha Subunit/genetics* ; Cell Line, Tumor ; Gene Expression Regulation, Neoplastic

Arsenic/toxicity* ; Bangladesh ; Female ; Humans ; Infant, Newborn ; Pregnancy ; Premature Birth/chemically induced* ; Rural Population ; Zinc

PURPOSE: The aim of this study was to characterize the demographics, usage patterns and complication rates of clomiphene use in male patients.MATERIALS AND METHODS: We retrospectively analyzed male patients from ages 20 to 55 years old who were prescribed clomiphene citrate from 2001 to 2014 using the Truven Health MarketScan, a US claims database. We collected data regarding associated medical diagnoses, diagnostic testing, duration of use, and reported side effects including thrombotic events, vision problems, gynecomastia, mental disorders, liver disease, nausea, or skin problems.RESULTS: In total, 12,318 men took clomiphene and represented the primary study cohort, with a mean age of 37.8 years. The percentage of men prescribed clomiphene increased over the study period, as did the average age of clomiphene users. Associated diagnoses included male infertility (52.0%), testicular hypofunction (13.5%), erectile dysfunction (2.4%), and low libido (0.4%). Associated testing included semen analysis (43.7%), testosterone (23.5%), luteinizing hormone (19.3%), and follicle-stimulating hormone (21.1%) levels. The median time of clomiphene use was 3.6 months, with 63% of men stopping within 6 months. No increased risk of reported clomiphene side effects were apparent in men taking the medication.CONCLUSIONS: There is a rising prevalence of clomiphene usage without associated adverse side effects in the US. The variability in associated diagnoses, diagnostic testing, and duration of use suggest a need for greater awareness of the proper evaluation and treatment of the men who are prescribed clomiphene.

To address the increasing need for detecting and validating protein biomarkers in clinical specimens, mass spectrometry (MS)-based targeted proteomic techniques, including the selected reaction monitoring (SRM), parallel reaction monitoring (PRM), and massively parallel data-independent acquisition (DIA), have been developed. For optimal performance, they require the fragment ion spectra of targeted peptides as prior knowledge. In this report, we describe a MS pipe-line and spectral resource to support targeted proteomics studies for human tissue samples. To build the spectral resource, we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on Docker. We then applied the workflow to gen-erate DPHL, a comprehensive DIA pan-human library, from 1096 data-dependent acquisition (DDA) MS raw files for 16 types of cancer samples. This extensive spectral resource was then applied to a proteomic study of 17 prostate cancer (PCa) patients. Thereafter, PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was validated. As a second application, the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma (DLBCL) patients and 18 healthy control subjects. Differentially expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by PRM. These data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker discovery. DPHL is freely accessible at https://www.iprox.org/page/project.html?id=IPX0001400000.

Precision medicine became the key strategy in development priority of science and technology in China. The large population-based cohorts become valuable resources in preventing and treating major diseases in the population, which can contribute scientific evidence for personalized treatment and precise prevention. The fundamental question of the achievements above, therefore, is how to construct a large population-based cohort in a standardized way. The Chinese Preventive Medicine Association co-ordinated experienced researchers from Peking University and other well-known institutes to write up two group standards Technical specification of data processing for large population-based cohort study (T/CPMA 001-2018) and Technical specification of data security for large population-based cohort study (T/CPMA 002-2018), on data management. The standards are drafted with principles of emphasizing their scientific, normative, feasible, and generalizable nature. In these two standards, the key principles are proposed, and technical specifications are recommended in data standardization, cleansing, quality control, data integration, data privacy protection, and database security and stability management in large cohort studies. The standards aim to guide the large population-based cohorts that have been or intended to be established in China, including national cohorts, regional population cohorts, and special population cohorts, hence, to improve domestic scientific research level and the international influence, and to support decision-making and practice of disease prevention and control.
China ; Cohort Studies ; Delivery of Health Care ; Humans ; Population Surveillance ; Quality Control ; Reference Standards

Objective: To describe the genetic structure of populations in different areas of China, and explore the effects of different strategies to control the confounding factors of the genetic structure in cohort studies. Methods: By using the genome-wide association study (GWAS) on data of 4 500 samples from 10 areas of the China Kadoorie Biobank (CKB), we performed principal components analysis to extract the first and second principal components of the samples for the component two-dimensional diagram generation, and then compared them with the source of sample area to analyze the characteristics of genetic structure of the samples from different areas of China. Based on the CKB cohort data, a simulation data set with cluster sample characteristics such as genetic structure differences and extensive kinship was generated; and the effects of different analysis strategies including traditional analysis scheme and mixed linear model on the inflation factor (λ) were evaluated. Results: There were significant genetic structure differences in different areas of China. Distribution of the principal components of the population genetic structure was basically consistent with the geographical distribution of the project area. The first principal component corresponds to the latitude of different areas, and the second principal component corresponds to the longitude of different areas. The generated simulation data showed high false positive rate (λ=1.16), even if the principal components of the genetic structure was adjusted or the area specific subgroup analysis was performed, λ could not be effectively controlled (λ>1.05); while, by using a mixed linear model adjusting for the kinship matrix, λ was effectively controlled regardless of whether the genetic structure principal component was further adjusted (λ=0.99). Conclusions: There were large differences in genetic structure among populations in different areas of China. In molecular epidemiology studies, bias caused by population genetic structure needs to be carefully treated. For large cohort data with complex genetic structure and extensive kinship, it is necessary to use a mixed linear model for association analysis.
China ; Genetic Structures ; Genome-Wide Association Study ; Humans ; Linear Models ; Principal Component Analysis