Matches in SemOpenAlex for { <https://semopenalex.org/work/W3174408047> ?p ?o ?g. }
- W3174408047 endingPage "103459" @default.
- W3174408047 startingPage "103459" @default.
- W3174408047 abstract "BackgroundEsophageal squamous cell carcinoma (ESCC) is among the most prevalent causes of cancer-related death in adults. Tumor microenvironment (TME) has been associated with therapeutic failure and lethal outcomes for patients. However, published reports on the heterogeneity and TME in ESCC are scanty.MethodsFive tumor samples and five corresponding non-malignant samples were subjected to scRNA-seq analysis. Bulk RNA sequencing data were retrieved in publicly available databases.FindingsFrom the scRNA-seq data, a total of 128,688 cells were enrolled for subsequent analyses. Gene expression and CNV status exhibited high heterogeneity of tumor cells. We further identified a list of tumor-specific genes and four malignant signatures, which are potential new markers for ESCC. Metabolic analysis revealed that energy supply-related pathways are pivotal in cancer metabolic reprogramming. Moreover, significant differences were found in stromal and immune cells between the esophagus normal and tumor tissues, which promoted carcinogenesis at both cellular and molecular levels in ESCC. Immune checkpoints, regarded as potential targets for immunotherapy in ESCC were significantly highly expressed in ESCC, including LAG3 and HAVCR2. Eventually, we constructed a cell-to-cell communication atlas based on cancer cells and immune cells and performed the flow cytometry, qRT-PCR, immunofluorescence, and immunohistochemistry analyses to validate the results.InterpretationThis study demonstrates a widespread reprogramming across multiple cellular elements within the TME in ESCC, particularly in transcriptional states, cellular functions, and cell-to-cell interactions. The findings offer an insight into the exploration of TME and heterogeneity in the ESCC and provide new therapeutic targets for its clinical management in the future.FundingThe work was supported by the Shanghai Pujiang Program (2020PJD009) and Research Development Fund of Zhongshan Hospital, Fudan University (2019ZSFZ002 and 2019ZSFZ19)." @default.
- W3174408047 created "2021-07-05" @default.
- W3174408047 creator A5013134577 @default.
- W3174408047 creator A5013226439 @default.
- W3174408047 creator A5021334306 @default.
- W3174408047 creator A5021384155 @default.
- W3174408047 creator A5030713034 @default.
- W3174408047 creator A5034403287 @default.
- W3174408047 creator A5048875338 @default.
- W3174408047 creator A5054452431 @default.
- W3174408047 creator A5056442373 @default.
- W3174408047 creator A5060736604 @default.
- W3174408047 creator A5068116562 @default.
- W3174408047 creator A5080846501 @default.
- W3174408047 creator A5083773499 @default.
- W3174408047 creator A5090956927 @default.
- W3174408047 date "2021-07-01" @default.
- W3174408047 modified "2023-10-14" @default.
- W3174408047 title "Dissecting the single-cell transcriptome network underlying esophagus non-malignant tissues and esophageal squamous cell carcinoma" @default.
- W3174408047 cites W1969631144 @default.
- W3174408047 cites W2030017878 @default.
- W3174408047 cites W2034773856 @default.
- W3174408047 cites W2037150116 @default.
- W3174408047 cites W2087377825 @default.
- W3174408047 cites W2097498614 @default.
- W3174408047 cites W2102212449 @default.
- W3174408047 cites W2123879591 @default.
- W3174408047 cites W2149031002 @default.
- W3174408047 cites W2165623186 @default.
- W3174408047 cites W2411225414 @default.
- W3174408047 cites W2555756186 @default.
- W3174408047 cites W2570401594 @default.
- W3174408047 cites W2586306658 @default.
- W3174408047 cites W2613084028 @default.
- W3174408047 cites W2744365130 @default.
- W3174408047 cites W2747877289 @default.
- W3174408047 cites W2783137027 @default.
- W3174408047 cites W2786022490 @default.
- W3174408047 cites W2794521141 @default.
- W3174408047 cites W2803656008 @default.
- W3174408047 cites W2806358230 @default.
- W3174408047 cites W2810097927 @default.
- W3174408047 cites W2865352686 @default.
- W3174408047 cites W2889646458 @default.
- W3174408047 cites W2891436740 @default.
- W3174408047 cites W2895456557 @default.
- W3174408047 cites W2907514116 @default.
- W3174408047 cites W2908139053 @default.
- W3174408047 cites W2911188335 @default.
- W3174408047 cites W2920262430 @default.
- W3174408047 cites W2921590285 @default.
- W3174408047 cites W2924849767 @default.
- W3174408047 cites W2928665623 @default.
- W3174408047 cites W2938013875 @default.
- W3174408047 cites W2944311410 @default.
- W3174408047 cites W2946153710 @default.
- W3174408047 cites W2947344623 @default.
- W3174408047 cites W2949225171 @default.
- W3174408047 cites W2953151710 @default.
- W3174408047 cites W2954610188 @default.
- W3174408047 cites W2969593942 @default.
- W3174408047 cites W2981121538 @default.
- W3174408047 cites W2982274943 @default.
- W3174408047 cites W2982638381 @default.
- W3174408047 cites W2982664504 @default.
- W3174408047 cites W2990171578 @default.
- W3174408047 cites W2993523018 @default.
- W3174408047 cites W2998795792 @default.
- W3174408047 cites W3000282923 @default.
- W3174408047 cites W3000676906 @default.
- W3174408047 cites W3001363353 @default.
- W3174408047 cites W3003956780 @default.
- W3174408047 cites W3004833389 @default.
- W3174408047 cites W3005771097 @default.
- W3174408047 cites W3006485746 @default.
- W3174408047 cites W3006545951 @default.
- W3174408047 cites W3013726240 @default.
- W3174408047 cites W3017885695 @default.
- W3174408047 cites W3019152112 @default.
- W3174408047 cites W3022968840 @default.
- W3174408047 cites W3034377491 @default.
- W3174408047 cites W3039227338 @default.
- W3174408047 cites W3043438918 @default.
- W3174408047 cites W3111279243 @default.
- W3174408047 cites W3112760672 @default.
- W3174408047 cites W3118017075 @default.
- W3174408047 cites W3132661792 @default.
- W3174408047 cites W3135072380 @default.
- W3174408047 doi "https://doi.org/10.1016/j.ebiom.2021.103459" @default.
- W3174408047 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8253912" @default.
- W3174408047 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34192657" @default.
- W3174408047 hasPublicationYear "2021" @default.
- W3174408047 type Work @default.
- W3174408047 sameAs 3174408047 @default.
- W3174408047 citedByCount "43" @default.
- W3174408047 countsByYear W31744080472022 @default.
- W3174408047 countsByYear W31744080472023 @default.
- W3174408047 crossrefType "journal-article" @default.