癌症基因组学、转录组学和蛋白质组学分析已经产生了大量的数据，需要开发工具进行分析和传播。我们开发了UALCAN，以提供一个门户，便于探索、分析和可视化这些数据，允许用户集成数据，以更好地了解癌症中受干扰的基因、蛋白质和通路，并做出发现。
UALCAN门户网站能够分析和提供癌症转录组、蛋白质组学和患者生存数据给癌症研究团体。利用从癌症基因组图谱(TCGA)项目获得的数据，UALCAN使用户能够评估蛋白质编码基因的表达及其对33种癌症患者生存的影响。该门户网站自发布以来得到了广泛的使用，并受到了极大的欢迎，100多个国家的癌症研究人员都在使用它。本手稿强调了自2017年发布以来我们对UALCAN所承担的任务和所做的更新。广泛的用户反馈促使我们通过包括以下数据来扩展资源:
a)来自TCGA的microRNAs (miRNAs)、长非编码RNA(lncRNAs)和启动子DNA甲基化;
b)来自临床蛋白质组学肿瘤分析联盟(CPTAC)的基于质谱的蛋白质组学。
UALCAN提供预先计算的、基于肿瘤亚群的基因/蛋白质表达、启动子DNA甲基化状态和Kaplan-Meier生存分析。还提供了新的可视化功能来理解和整合观察结果，并帮助生成用于测试的假设。
UALCAN提供蛋白质表达分析选项，使用来自临床蛋白质组肿瘤分析联盟(CPTAC)和国际癌症蛋白质基因组联盟(ICPC)的数据集。结直肠癌、乳腺癌、卵巢癌、透明细胞肾细胞癌、子宫内膜癌、胃癌、胶质母细胞瘤、小儿脑瘤、头颈部鳞状细胞癌、肺腺癌、肺鳞状细胞癌、肝癌、胰腺癌、前列腺癌等均有蛋白表达。
1. How to obtain list of top differentally expressed genes?
Step 1: Go to analysis page of UALCAN and choose cancer of interest from left panel by clicking it.
Step 2: UALCAN lists top 250 over-/under-expressed genes in cancer of interest compared to normal samples.
Step 3: User can analyze gene expression and survival profiles of individual gene by clicking the on the heat map.
Step 4: UALCAN also enables user to view top 250 over-/under-expressed genes in major cancer subtypes compared to normal samples.
2. How to query UALCAN for gene(s) of interest in specific cancer?
Step 1: Go to analysis page of UALCAN and enter offical symbol of gene(s) in the text area
Step 2: Choose the TCGA data set of interest from the drop down menu and click "Explore" button to submit.
Step 3: Output page provides links to analysis results and external database links.
a. How to explore expression profile of gene of interest based on clinico-pathologic factors?
Obtaining EZH2 expression profile in breast invasive carcinoma dataset based on patient’s race.
Downloading the box plot from UALCAN
b. How to obtain Kaplan meier plot from UALCAN?
Analyzing survival plots of EZH2 in breast invasive carcinoma TCGA dataset
c. How to obtain promoter DNA methylation level from UALCAN?
Analyzing promoter DNA methylation level of THSD1 in breast invasive carcinoma TCGA dataset
d. How to obtain list of positive and negatively correlated genes from UALCAN?
Obtaining list of positively/negatively correlated genes of EZH2 in breast invasive carcinoma TCGA dataset
3. How to obtain expression and survival profile for pre-compiled gene classes?
Step 1: Go to analysis page of UALCAN
Step 2: Query UALCAN for pre-compiled gene classes
Step 3: Select gene class of interest (e.g. Kinase coding genes) and click "Explore" to see results
Step 4: UALCAN lists all kinase coding genes and indicates their expression status and survival effect in different cancers.
Cancer with red border show up regulation of gene
Step 5: User can click on any of these link to visualize expression and survival profiles
Introduction to Cancer terms
CancerTCGA codeAdrenocortical carcinomaACCBladder urothelial carcinomaBLCABrain lower grade gliomaLGGBreast invasive carcinomaBRCACervical squamous cell carcinomaCESCCholangiocarcinomaCHOLColon adenocarcinomaCOADEsophageal carcinomaESCAGlioblastoma multiformeGBMHead and Neck squamous cell carcinomaHNSCKidney ChoromophobeKICHKidney renal clear cell carcinomaKIRCKidney renal papillary cell carcinomaKIRPLiver hepatocellular carcinomaLIHCLung adenocarcinomaLUADLung squamous cell carcinomaLUSCLymphoid Neoplasm Diffuse Large B-cell LymphomaDBLCMesotheliomaMESOOvarian serous cystadenocarcinomaOVPancreatic adenocarcinomaPAADPheochromocytoma and ParagangliomaPCPGProstate adenocarcinomaPRADRectum adenocarcinomaREADSarcomaSARCSkin Cutaneous MelanomaSKCMTesticular Germ Cell TumorsTGCTThymomaTHYMThyroid carcinomaTHCAUterine CarcinosarcomaUCSUterine Corpus Endometrial CarcinomaUCECUveal MelanomaUVM
References:
Zhang, Y., Chen, F., Chandrashekar, D.S., Varambally, S., Creighton, C.J. Proteogenomic characterization of 2002 human cancers reveals pan-cancer molecular subtypes and associated pathways. Nat Commun 13, 2669 (2022) doi: 10.1038/s41467-022-30342-3
Chandrashekar DS, Karthikeyan SK, Korla PK, Patel H, Shovon AR, Athar M, Netto GJ, Qin ZS, Kumar S, Manne U, Creighton CJ, Varambally S. UALCAN: An update to the integrated cancer data analysis platform. Neoplasia. 2022 Mar;25:18-27. doi: 10.1016/j.neo.2022.01.001
使用起来还是非常方便，避免了自己写代码，又找数据又作图，有需要的老师可以参考使用！
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