Key candidate genes and pathways in T lymphoblastic leukemia/lymphoma identified by bioinformatics and serological analyses.

"the dataset included 12 gene expression profile samples all obtained using the gpl6244 affymetrix human gene 1 0 st array platform 2 4 2 deg identification was done using the geo2r online tool in geo which uses the geoquery and limma packages in r the screening criteria for degs were p < 0 05 and | logfc | > 3 2 4 3 david ( https://david ncifcrf gov/ ) was used for gene ontology (go) and kyoto encyclopedia of genes and genomes (kegg) analyses using p < 0 05 as the threshold 2 4 4 ppi networks of the degs were generated with string (version: 10 0; http://www string-db org/ ) with a ppi score threshold of 0 4 indicating medium confidence."

"Conflict of interest 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."

"The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by grants from the Major Research Plan of National Natural Science Foundation of China (Grant Number: 92163213), General Program of National Natural Science Foundation of China (Grant Number: 81970085), Tianjin science and technology plan project (Grant Number: 21JCZDJC00940) and Tianjin health science and technology projects (Grant Number: TJWJ2022XK001). This work was supported funded by Tianjin Key Medical Discipline (Specialty) Construction Project (Grant Number: TJYXZDXK-006A). This work was supported by grants from National Key Research and Development Program of China (2020YFE0203000), National Natural Science Foundation of China (81890990, 82270148) and CAMS Innovation Fund for Medical Sciences (2022-I2M-2-003)."