Single-cell RNA sequencing for the identification of early-stage lung cancer biomarkers from circulating blood

Jinhong Kim; Zhaolin Xu; Paola A. Marignani

doi:10.1038/s41525-021-00248-y

Single-cell RNA sequencing for the identification of early-stage lung cancer biomarkers from circulating blood

Jinhong Kim, Zhaolin Xu, Paola A. Marignani

Medicine

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

Lung cancer accounts for more than half of the new cancers diagnosed world-wide with poor survival rates. Despite the development of chemical, radiological, and immunotherapies, many patients do not benefit from these therapies, as recurrence is common. We performed single-cell RNA-sequencing (scRNA-seq) analysis using Fluidigm C1 systems to characterize human lung cancer transcriptomes at single-cell resolution. Validation of scRNA-seq differentially expressed genes (DEGs) through quantitative real time-polymerase chain reaction (qRT-PCR) found a positive correlation in fold-change values between C-X-C motif chemokine ligand 1 (CXCL1) and 2 (CXCL2) compared with bulk-cell level in 34 primary lung adenocarcinomas (LUADs) from Stage I patients. Furthermore, we discovered an inverse correlation between chemokine mRNAs, miR-532-5p, and miR-1266-3p in early-stage primary LUADs. Specially, miR-532-5p was quantifiable in plasma from the corresponding LUADs. Collectively, we identified markers of early-stage lung cancer that were validated in primary lung tumors and circulating blood.

Original language	English
Article number	87
Journal	npj Genomic Medicine
Volume	6
Issue number	1
DOIs	https://doi.org/10.1038/s41525-021-00248-y
Publication status	Published - Dec 2021

Bibliographical note

Funding Information:
The Marignani Lab would like to acknowledge support from the following funding agencies: The Canadian Cancer Society Diane Campbell designated research fund (grant #706202), Cancer Research Society, Dalhousie Medical Research Foundation. The authors acknowledge that Dalhousie University campuses are located on original lands of the Mi’kma’ki, the ancestral and unceded territory of the Mi’kmaq People.

Publisher Copyright:
© 2021, The Author(s).

ASJC Scopus Subject Areas

Molecular Biology
Genetics
Genetics(clinical)

PubMed: MeSH publication types

Journal Article

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1038/s41525-021-00248-y

Cite this

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abstract = "Lung cancer accounts for more than half of the new cancers diagnosed world-wide with poor survival rates. Despite the development of chemical, radiological, and immunotherapies, many patients do not benefit from these therapies, as recurrence is common. We performed single-cell RNA-sequencing (scRNA-seq) analysis using Fluidigm C1 systems to characterize human lung cancer transcriptomes at single-cell resolution. Validation of scRNA-seq differentially expressed genes (DEGs) through quantitative real time-polymerase chain reaction (qRT-PCR) found a positive correlation in fold-change values between C-X-C motif chemokine ligand 1 (CXCL1) and 2 (CXCL2) compared with bulk-cell level in 34 primary lung adenocarcinomas (LUADs) from Stage I patients. Furthermore, we discovered an inverse correlation between chemokine mRNAs, miR-532-5p, and miR-1266-3p in early-stage primary LUADs. Specially, miR-532-5p was quantifiable in plasma from the corresponding LUADs. Collectively, we identified markers of early-stage lung cancer that were validated in primary lung tumors and circulating blood.",

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Single-cell RNA sequencing for the identification of early-stage lung cancer biomarkers from circulating blood

Abstract

Bibliographical note

ASJC Scopus Subject Areas

PubMed: MeSH publication types

UN SDGs

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