Association between 14-3-3σ expression and clinicopathological parameters of ESCC.

Figshare2015-12-02 更新2026-04-29 收录

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https://figshare.com/articles/dataset/_Association_between_14_3_3_963_expression_and_clinicopathological_parameters_of_ESCC_/1003454 数据链接链接失效反馈

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*Well-differentiation vs. Moderate differentiation+Poor differentiation.

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2015-12-02

MOESM2 of A two-circular RNA signature as a noninvasive diagnostic biomarker for lung adenocarcinoma

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环状RNA-miRNA调控

Additional file 2: Table S1. The predicted miRNA targets for hsa_circ_0086414 in the CircBank database. Table S2. The miRNAs that were significantly differentially expressed between the EGFR mutated a

Figshare2019-02-19 更新20

Table_7_Pathway Instability Is an Effective New Mutation-Based Type of Cancer Biomarkers.XLSX

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通路突变分析

DNA mutations play a crucial role in cancer development and progression. Mutation profiles vary dramatically in different cancer types and between individual tumors. Mutations of several individual ge

NIAID Data Ecosystem20

DataSheet4_A systematic pan-cancer analysis reveals the clinical prognosis and immunotherapy value of C-X3-C motif ligand 1 (CX3CL1).ZIP

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肿瘤免疫治疗

It is now widely known that C-X3-C motif ligand 1 (CX3CL1) plays an essential part in the process of regulating pro-inflammatory cells migration across a wide range of inflammatory disorders, includin

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DataSheet_2_Integrated bioinformatics analysis of IFITM1 as a prognostic biomarker and investigation of its immunological role in prostate adenocarcinoma.zip

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肿瘤免疫治疗靶点

IntroductionProstate adenocarcinoma (PRAD) is a highly aggressive malignancy with high mortality and poor prognosis, and its potential mechanism remains unclear. Our study aimed to identify novel mark

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DataSheet_2_Identification of adenylate cyclase 2 methylation in bladder cancer with implications for prognosis and immunosuppressive microenvironment.zip

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甲基化分析

BackgroundThe incidence and mortality of bladder cancer (BCa) are increasing, while the existing diagnostic methods have limitations. Therefore, for early detection and response prediction, it is cruc

NIAID Data Ecosystem10

Association between 14-3-3σ expression and clinicopathological parameters of ESCC.

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