FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3088893632> ?p ?o ?g. }

• W3088893632 abstract "Lung cancer has become the most common cancer type and caused the most cancer deaths. Lung adenocarcinoma (LUAD) is one of the major types of lung cancer. Accumulating evidence suggests the tumor microenvironment is correlated with the tumor progress and the patient's outcome. This study aimed to establish a gene signature based on tumor microenvironment that can predict patients' outcomes for LUAD.Dataset TCGA-LUAD, downloaded from the TCGA portal, were taken as training cohort, and dataset GSE72094, obtained from the GEO database, was set as validation cohort. In the training cohort, ESTIMATE algorithm was applied to find intersection differentially expressed genes (DEGs) among tumor microenvironment. Kaplan-Meier analysis and univariate Cox regression model were performed on intersection DEGs to preliminarily screen prognostic genes. Besides, the LASSO Cox regression model was implemented to build a multi-gene signature, which was then validated in the validation cohorts through Kaplan-Meier, Cox, and receiver operating characteristic curve (ROC) analyses. In addition, the correlation between tumor mutational burden (TMB) and risk score was evaluated by Spearman test. GSEA and immune infiltrating analyses were conducted for understanding function annotation and the role of the signature in the tumor microenvironment.An eight-gene signature was built, and it was examined by Kaplan-Meier analysis, revealing that a significant overall survival difference was seen. The eight-gene signature was further proven to be independent of other clinico-pathologic parameters via the Cox regression analyses. Moreover, the ROC analysis demonstrated that this signature owned a better predictive power of LUAD prognosis. The eight-gene signature was correlated with TMB. Furthermore, GSEA and immune infiltrating analyses showed that the exact pathways related to the characteristics of eight-genes signature, and identified the vital roles of Mast cells resting and B cells naive in the prognosis of the eight-gene signature.Identifying the eight-gene signature (INSL4, SCN7A, STAP1, P2RX1, IKZF3, MS4A1, KLRB1, and ACSM5) could accurately identify patients' prognosis and had close interactions with Mast cells resting and B cells naive, which may provide insight into personalized prognosis prediction and new therapies for LUAD patients." @default.
• W3088893632 created "2020-10-01" @default.
• W3088893632 creator A5011860975 @default.
• W3088893632 creator A5026410403 @default.
• W3088893632 creator A5032021152 @default.
• W3088893632 creator A5033498789 @default.
• W3088893632 creator A5045925603 @default.
• W3088893632 creator A5066073550 @default.
• W3088893632 creator A5072691618 @default.
• W3088893632 date "2020-09-23" @default.
• W3088893632 modified "2023-10-16" @default.
• W3088893632 title "Identification of a Novel Tumor Microenvironment–Associated Eight-Gene Signature for Prognosis Prediction in Lung Adenocarcinoma" @default.
• W3088893632 cites W1107917109 @default.
• W3088893632 cites W1495209425 @default.
• W3088893632 cites W1960849084 @default.
• W3088893632 cites W1969080601 @default.
• W3088893632 cites W1975731887 @default.
• W3088893632 cites W1978764380 @default.
• W3088893632 cites W1994088714 @default.
• W3088893632 cites W1996869885 @default.
• W3088893632 cites W1998189567 @default.
• W3088893632 cites W2011458181 @default.
• W3088893632 cites W2021733365 @default.
• W3088893632 cites W2021909790 @default.
• W3088893632 cites W2022434373 @default.
• W3088893632 cites W2043294526 @default.
• W3088893632 cites W2054736529 @default.
• W3088893632 cites W2063743184 @default.
• W3088893632 cites W2084598886 @default.
• W3088893632 cites W2086997734 @default.
• W3088893632 cites W2095434274 @default.
• W3088893632 cites W2097360283 @default.
• W3088893632 cites W2099908510 @default.
• W3088893632 cites W2104337528 @default.
• W3088893632 cites W2109600717 @default.
• W3088893632 cites W2130430382 @default.
• W3088893632 cites W2146512944 @default.
• W3088893632 cites W2147618531 @default.
• W3088893632 cites W2149199519 @default.
• W3088893632 cites W2150657589 @default.
• W3088893632 cites W2152061559 @default.
• W3088893632 cites W2157517339 @default.
• W3088893632 cites W2157825442 @default.
• W3088893632 cites W2159938460 @default.
• W3088893632 cites W2168051713 @default.
• W3088893632 cites W2180481128 @default.
• W3088893632 cites W2184779060 @default.
• W3088893632 cites W2192486833 @default.
• W3088893632 cites W2276555358 @default.
• W3088893632 cites W2285906858 @default.
• W3088893632 cites W2344253020 @default.
• W3088893632 cites W2402433991 @default.
• W3088893632 cites W2412209143 @default.
• W3088893632 cites W2474747771 @default.
• W3088893632 cites W2551906795 @default.
• W3088893632 cites W2559382297 @default.
• W3088893632 cites W2560704457 @default.
• W3088893632 cites W2606495925 @default.
• W3088893632 cites W2622499649 @default.
• W3088893632 cites W2635951006 @default.
• W3088893632 cites W2741363425 @default.
• W3088893632 cites W2747016053 @default.
• W3088893632 cites W2747774814 @default.
• W3088893632 cites W2779221466 @default.
• W3088893632 cites W2782690747 @default.
• W3088893632 cites W2783897381 @default.
• W3088893632 cites W2784371446 @default.
• W3088893632 cites W2795845948 @default.
• W3088893632 cites W2796815428 @default.
• W3088893632 cites W2799967447 @default.
• W3088893632 cites W2800502807 @default.
• W3088893632 cites W2889646458 @default.
• W3088893632 cites W2901825376 @default.
• W3088893632 cites W2903653714 @default.
• W3088893632 cites W2981540571 @default.
• W3088893632 cites W2987116731 @default.
• W3088893632 cites W2990390286 @default.
• W3088893632 cites W2992033410 @default.
• W3088893632 cites W3005935248 @default.
• W3088893632 cites W3012272356 @default.
• W3088893632 cites W3016554445 @default.
• W3088893632 cites W3023989792 @default.
• W3088893632 cites W3030428724 @default.
• W3088893632 cites W4294541781 @default.
• W3088893632 doi "https://doi.org/10.3389/fmolb.2020.571641" @default.
• W3088893632 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7546815" @default.
• W3088893632 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33102522" @default.
• W3088893632 hasPublicationYear "2020" @default.
• W3088893632 type Work @default.
• W3088893632 sameAs 3088893632 @default.
• W3088893632 citedByCount "36" @default.
• W3088893632 countsByYear W30888936322021 @default.
• W3088893632 countsByYear W30888936322022 @default.
• W3088893632 countsByYear W30888936322023 @default.
• W3088893632 crossrefType "journal-article" @default.
• W3088893632 hasAuthorship W3088893632A5011860975 @default.
• W3088893632 hasAuthorship W3088893632A5026410403 @default.
• W3088893632 hasAuthorship W3088893632A5032021152 @default.
• W3088893632 hasAuthorship W3088893632A5033498789 @default.
• W3088893632 hasAuthorship W3088893632A5045925603 @default.

• next