Isoform-Level Transcriptome Analysis of Peripheral Blood Mononuclear Cells from Breast Cancer Patients Identifies a Disease-Associated RASGEF1A Isoform

<b>Background:</b> Breast cancer (BC) comprises multiple subtypes with distinct molecular features, which differ in their interplay with host immunity, prognosis, and treatment. Non-invasive blood analyses can provide valuable insights into systemic immunity during cancer. The aim of this study was to analyze the expression of transcriptional isoforms in peripheral blood mononuclear cells (PBMCs) from BC patients and healthy women to identify potential BC immune biomarkers. <b>Methods:</b> RNA sequencing and isoform-level bioinformatics were performed on PBMCs from 12 triple-negative and 13 luminal A patients. Isoform expression validation by qRT-PCR and clinicopathological correlations were performed in a larger cohort (156 BC patients and 32 healthy women). <b>Results:</b> Transcriptional analyses showed a significant (<i>p</i> < 0.001) decrease in the <i>ENST00000374459 RASGEF1A</i> isoform in PBMCs of BC compared to healthy subjects, indicating disease-related expression changes. The decrease was associated with higher ctDNA and Ki-67 values. <b>Conclusions:</b> The levels of the <i>RASGEF1A</i> transcriptional isoform <i>ENST00000374459</i> may have the potential to distinguish between BC and healthy subjects. The downregulation of <i>ENST00000374459</i> in breast cancer is associated with higher proliferation and ctDNA shedding. Specialized bioinformatics analyses such as isoform analyses hold significant promise in the detection of biomarkers, since standard RNA sequencing analyses may overlook specific transcriptional changes that may be disease-associated and biologically important.

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Journal
Cancers
Published
2024-09-16
DOI
https://doi.org/10.3390/cancers16183171
Citations
2
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
0.84
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article

Isoform-Level Transcriptome Analysis of Peripheral Blood Mononuclear Cells from Breast Cancer Patients Identifies a Disease-Associated RASGEF1A Isoform

Mario Gorenjak, Uroš Potočnik, Monika Sobočan, Martina Krušič et al.
2 citations
Cancers
Ferroptosis and cancer prognosis
0.84
article

Isoform-Level Transcriptome Analysis of Peripheral Blood Mononuclear Cells from Breast Cancer Patients Identifies a Disease-Associated RASGEF1A Isoform

Mario Gorenjak, Uroš Potočnik, Monika Sobočan, Martina Krušič, B Crnobrnja, Iztok Takač, Darja Arko, Helena Čelešnik
article en
2 citations

Abstract

<b>Background:</b> Breast cancer (BC) comprises multiple subtypes with distinct molecular features, which differ in their interplay with host immunity, prognosis, and treatment. Non-invasive blood analyses can provide valuable insights into systemic immunity during cancer. The aim of this study was to analyze the expression of transcriptional isoforms in peripheral blood mononuclear cells (PBMCs) from BC patients and healthy women to identify potential BC immune biomarkers. <b>Methods:</b> RNA sequencing and isoform-level bioinformatics were performed on PBMCs from 12 triple-negative and 13 luminal A patients. Isoform expression validation by qRT-PCR and clinicopathological correlations were performed in a larger cohort (156 BC patients and 32 healthy women). <b>Results:</b> Transcriptional analyses showed a significant (<i>p</i> < 0.001) decrease in the <i>ENST00000374459 RASGEF1A</i> isoform in PBMCs of BC compared to healthy subjects, indicating disease-related expression changes. The decrease was associated with higher ctDNA and Ki-67 values. <b>Conclusions:</b> The levels of the <i>RASGEF1A</i> transcriptional isoform <i>ENST00000374459</i> may have the potential to distinguish between BC and healthy subjects. The downregulation of <i>ENST00000374459</i> in breast cancer is associated with higher proliferation and ctDNA shedding. Specialized bioinformatics analyses such as isoform analyses hold significant promise in the detection of biomarkers, since standard RNA sequencing analyses may overlook specific transcriptional changes that may be disease-associated and biologically important.

CancersVol. 16(18)
University of Maribor (SI), University Clinical Centre Maribor (SI)
Good health and well-being
Openalex Percentile: Top 24%
Ferroptosis and cancer prognosis
0.84
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