Zhi Wang, Xueying Tang, Jingchen Liu, Zhiliang Ying
Subtask analysis of process data through a predictive model
The British journal of mathematical and statistical psychology
lung adenocarcinoma luad highly heterogeneous disease threaten human life serious incidence high mortality high heterogeneity tumor microenvironment tme reported multiple studies however factor controlling tumor migration progression eary latestage luad still fully understood study conducted comprehensive analysis singlecell rna sequencing scrnaseq data luad obtained geo database identification cell clusters revealed significant expansion epithelial cells latestage patients interpretation cellcell communication results earlystage latestage patient samples indicated early tumor cells may interact epithelial cells tgf pathway promote tumor progression cell cycle analysis demonstrated significant increase number cells g2 phases latestage lung cancer analysis using nonnegative matrix factorization nmf revealed earlystage cellspecific gene features involved cell adhesionrelated biological processes among tensin tns gene family particularly tns1 showed high expression epithelial cells fibroblasts earlystage samples specifically associated cell adhesion survival analysis using tcga database luad demonstrated patients high expression tns1 exhibited significantly higher overall survival rates compared low expression immunofluorescence experiments demonstrated coexpression tns1 fibroblast tumor cell markers sma epcam immunohistochemistry experiments validated significantly higher expression levels tns1 earlystage luad tissues compared latestage lung cancer tissues p005 pathway experiments shown earlystage tumor patients high expression tns1 exhibit stronger phosphorylation levels akt mtor indicating potent activation aktmtor signaling pathway conclusion results study demonstrate tns1 adhesive molecule immune microenvironment earlystage tumor cells may serve novel prognostic marker lug cancer