Discovery of prognostic lncRNAs in colorectal cancer using spatial transcriptomics

Colorectal cancer (CRC) exhibits significant genetic and epigenetic diversity, evolving into sub-clonal populations with varied metastatic potentials and treatment responses. Predicting metastatic disease in CRC patients remains challenging, underscoring the need for reliable biomarkers. While most research on therapeutic targets and biomarkers has focused on proteins, non-coding RNAs such as long non-coding RNAs (lncRNAs) comprise most of the transcriptome and demonstrate superior tissue- and cancer-specific expression. We utilised spatial transcriptomics to investigate lncRNAs in CRC tumours, offering more precise cell-type-specific expression data compared to bulk RNA sequencing. Our analysis identified 301 lncRNAs linked to malignant CRC regions, which we validated with public data. Further validation using RNA-FISH revealed three lncRNAs (LINC01978, PLAC4, and LINC01303) that are detectable in stage II tumours but not in normal epithelium and are upregulated in metastatic tissues. These lncRNAs hold potential as biomarkers for early risk assessment of metastatic disease.

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Publication Details

Journal
npj Precision Oncology
Published
2024-10-10
DOI
https://doi.org/10.1038/s41698-024-00728-1
Citations
11
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
3.14

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article

Discovery of prognostic lncRNAs in colorectal cancer using spatial transcriptomics

Sarah D. Diermeier, Holly R. Pinkney, Sharon Pattison, Cody R. Ross et al.
11 citations
npj Precision Oncology
Cancer-related molecular mechanisms research
3.14
article

Discovery of prognostic lncRNAs in colorectal cancer using spatial transcriptomics

Sarah D. Diermeier, Holly R. Pinkney, Sharon Pattison, Cody R. Ross, Timothy O. Hodgson
article en
11 citations

Abstract

Colorectal cancer (CRC) exhibits significant genetic and epigenetic diversity, evolving into sub-clonal populations with varied metastatic potentials and treatment responses. Predicting metastatic disease in CRC patients remains challenging, underscoring the need for reliable biomarkers. While most research on therapeutic targets and biomarkers has focused on proteins, non-coding RNAs such as long non-coding RNAs (lncRNAs) comprise most of the transcriptome and demonstrate superior tissue- and cancer-specific expression. We utilised spatial transcriptomics to investigate lncRNAs in CRC tumours, offering more precise cell-type-specific expression data compared to bulk RNA sequencing. Our analysis identified 301 lncRNAs linked to malignant CRC regions, which we validated with public data. Further validation using RNA-FISH revealed three lncRNAs (LINC01978, PLAC4, and LINC01303) that are detectable in stage II tumours but not in normal epithelium and are upregulated in metastatic tissues. These lncRNAs hold potential as biomarkers for early risk assessment of metastatic disease.

npj Precision OncologyVol. 8(1)
University of Otago (NZ)
Royal Society Te Apārangi
Good health and well-being
Openalex Percentile: Top 7%
Cancer-related molecular mechanisms research
3.14
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Discovery of prognostic lncRNAs in colorectal cancer using spatial transcriptomics — Sarah D. Diermeier, Holly R. Pinkney, et al. · npj Precision Oncology (2024) | TGRS Research Map | TGRS