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  metastatic renal cell carcinoma

Overall DesignIn order to identify successful clonal propagation from patient to PDX samples and understand pathogenesis from primary to metastatic RCC, we performed whole-exome sequencing (WES, n=4) and matched aCGH (n=4) on bulk tumor samples. And we utilized single-cell RNA sequencing (scRNA-seq) to model and dissect functional heterogeneity acroass primary and metastatic RCC tumors. We checked whether of capturing live one cell, not more cells, in microfluidics by fluorescent microscopic observation. To construct RNA sequencing libraries, we performed further quality controls including adequate quantities and qualities of amplified transcriptomes respectively from single cells. Tumor cells from the parental mRCC (n=34), PDX-mRCC (n=36) and PDX-pRCC (n=46) were finally analyzed in this study after filtering out poor quality cells.
SummaryClear cell renal cell carcinoma (ccRCC) initiated from the renal epithelium is the most prevalent histological type of adult kidney cancers. Dissecting intratumoral heterogeneity (ITH) of ccRCC has leveraged to extend our knowledge on how primary tumors harboring driver mutations evolve and spread to other sites. The cellular fractions within and across the primary (pRCC) and metastatic RCC (mRCC) are heterogeneous in both their genetic and biological features determining the variability in clinical aggressiveness and sensitivity to the therapy. To achieve sustainable therapeutic benefit with targeted agents in mRCC, the effective target should focus on signaling pathways that are related to driver mutations occurred early in the clonal evolution of the disease and thus should be common to primary tumor and metastatic sites. Considering that extensive genetic heterogeneity may result in drug response variability among patients and treatment resistance, the tailored strategies for metastatic RCC is urgently needed. Here, we analyze single-cell RNA-seq (scRNA-seq) data from a matched primary RCC (pRCC) and lung metastasis (mRCC) to dissect ITH at the highest resolution to date with the objective of discovering the better therapeutic regimen.
Dataset viewGSE73121
PMID27139883

Samples in metastatic renal cell carcinoma

Displaying 1-10 of 35 results.
SeriesSampleInstrumentOrganismTitleCell Source
GSE73121GSM1887306Illumina HiSeq 2500Homo sapiensPt_mRCC_SC_01metastatic renal cell carcinoma
GSE73121GSM1887308Illumina HiSeq 2500Homo sapiensPt_mRCC_SC_03metastatic renal cell carcinoma
GSE73121GSM1887310Illumina HiSeq 2500Homo sapiensPt_mRCC_SC_05metastatic renal cell carcinoma
GSE73121GSM1887312Illumina HiSeq 2500Homo sapiensPt_mRCC_SC_10metastatic renal cell carcinoma
GSE73121GSM1887315Illumina HiSeq 2500Homo sapiensPt_mRCC_SC_11metastatic renal cell carcinoma
GSE73121GSM1887316Illumina HiSeq 2500Homo sapiensPt_mRCC_SC_12metastatic renal cell carcinoma
GSE73121GSM1887318Illumina HiSeq 2500Homo sapiensPt_mRCC_SC_17metastatic renal cell carcinoma
GSE73121GSM1887321Illumina HiSeq 2500Homo sapiensPt_mRCC_SC_21metastatic renal cell carcinoma
GSE73121GSM1887323Illumina HiSeq 2500Homo sapiensPt_mRCC_SC_23metastatic renal cell carcinoma
GSE73121GSM1887325Illumina HiSeq 2500Homo sapiensPt_mRCC_SC_24metastatic renal cell carcinoma

Gene rank in metastatic renal cell carcinoma

Displaying 1-10 of 18370 results.
Rank orderGene SymbolEnsembl ID
1MT-CO2ENSG00000198712
2FTLENSG00000087086
3MT-RNR2ENSG00000210082
4MT-ATP6ENSG00000198899
5MT-ND4ENSG00000198886
6MT-ND2ENSG00000198763
7MALAT1ENSG00000251562
8FTH1ENSG00000167996
9B2MENSG00000166710
10MT-ND4LENSG00000212907