HCA Data Explorer

Single-Cell RNA Sequencing in Multiple Pathologic Types of Renal Cell Carcinoma Revealed Novel Potential Tumor-Specific Markers.

Updated February 15, 2023

BackgroundRenal cell carcinoma (RCC) is the most common type of kidney cancer. Studying the pathogenesis of RCC is particularly important, because it could provide a direct guide for clinical treatment. Given that tumor heterogeneity is probably reflected at the mRNA level, the study of mRNA in RCC may reveal some potential tumor-specific markers, especially single-cell RNA sequencing (scRNA-seq).MethodsWe performed an exploratory study on three pathological types of RCC with a small sample size. This study presented clear-cell RCC (ccRCC), type 2 pRCC, and chRCC in a total of 30,263 high-quality single-cell transcriptome information from three pathological types of RCC. In addition, scRNA-seq was performed on normal kidneys. Tumor characteristics were well identified by the comparison between different pathological types of RCC and normal kidneys at the scRNA level.ResultsSome new tumor-specific markers for different pathologic types of RCC, such as SPOCK1, PTGIS, REG1A, CP and SPAG4 were identified and validated. We also discovered that NDUFA4L2 both highly expressed in tumor cells of ccRCC and type 2 pRCC. The presence of two different types of endothelial cells in ccRCC and type 2 pRCC was also identified and verified. An endothelial cell in ccRCC may be associated with fibroblasts and significantly expressed fibroblast markers, such as POSTN and COL3A1. At last, by applying scRNA-seq results, the activation of drug target pathways and sensitivity to drug responses was predicted in different pathological types of RCC.ConclusionsTaken together, these findings considerably enriched the single-cell transcriptomic information for RCC, thereby providing new insights into the diagnosis and treatment of RCC.

Jiwen ChengDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.chengjiwen1977@foxmail.com
Zengnan MoDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.mozengnan@gxmu.edu.com
Cheng Su1
Yufang Lv1
Wenhao Lu1
Zhenyuan Yu1
Yu Ye1
Bingqian Guo2
Deyun Liu1
Haibiao Yan1
Tianyu Li1
Qingyun Zhang3
Jiwen Cheng1
Zengnan Mo1
1Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
2Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.
3Department of Urology, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China.
Anu Shivalikanjli

To reference this project, please use the following link:

https://explore.data.humancellatlas.dev.clevercanary.com/projects/ee166275-f63a-4864-8155-4df86c9de679
None
GEO Series Accessions:

Atlas

None

Analysis Portals

None

Project Label

Cheng-Human-10x3pv3

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

kidney

Organ Part

Unspecified

Selected Cell Types

Unspecified

Disease Status (Specimen)

4 disease statuses

Disease Status (Donor)

3 disease statuses

Development Stage

human adult stage

Library Construction Method

10x 3' v3

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

analysis_protocol

File Format

4 file formats

Cell Count Estimate

30.3k

Donor Count

4
fastq.gz10 file(s)mtx.gz5 file(s)tsv.gz10 file(s)xlsx1 file(s)