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A circulating risk score, based on combination of exo-miR130a-3p and fibrinopeptide A, as predictive biomarker of relapse in early stage non-small cell lung cancer patients

ABSTRACT: A circulating risk score, based on combination of exo-miR130a-3p and fibrinopeptide A, as predictive biomarker of relapse in early stage non-small cell lung cancer patients

PROVIDER: PRJNA817569 | ENA |

REPOSITORIES: ENA

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A circulating risk score, based on combination of exo-miR130a-3p and fibrinopeptide A, as predictive biomarker of relapse in early stage non-small cell lung cancer patients [miRNA]

Project description:To date, the 5-year overall survival of early stage non-small cell lung cancer (NSCLC) is still unsatisfactory at 59.8%. Therefore, reliable prognostic factors are needed. Growing evidence shows that cancer progression may depend on a double interconnection between cancer cells and the surrounding tumor microenvironment, and circulating molecules may represent promising markers of cancer recurrence. Here, we performed in-depth analysis of circolome-derived markers, including Exo-miRnome and peptidome in 67 radically resected NSCLCs, to identify a prognostic score. The miRnome profile selected exo-miR130a-3p as the most overexpressed in patients with relapse. Peptidome analysis identified 4 fibrinopeptide A (fpA), which were depleted in progressing patients. Notably, the combination of exo-miR130a-3p and the greatest fpA (2-16) built a score where high-risk patients had 24 months of disease-free survival. Moreover, in vitro transfections showed that higher levels of exo-miR-130a-3p lead to a deregulation of some pathways involved in metastasis, in angiogenesis, such as in coagulation. In conclusion, the identified risk score integrating circulating markers can help clinicians predict early-stage NSCLC patients who are more likely to relapse after initial surgery.

2022-05-01 | GSE198958 | GEO

A circulating risk score, based on combination of exo-miR130a-3p and fibrinopeptide A, as predictive biomarker of relapse in early stage non-small cell lung cancer patients [Nanostring]

Project description:To date, the 5-year overall survival of early stage non-small cell lung cancer (NSCLC) is still unsatisfactory at 59.8%. Therefore, reliable prognostic factors are needed. Growing evidence shows that cancer progression may depend on a double interconnection between cancer cells and the surrounding tumor microenvironment, and circulating molecules may represent promising markers of cancer recurrence. Here, we performed in-depth analysis of circolome-derived markers, including Exo-miRnome and peptidome in 67 radically resected NSCLCs, to identify a prognostic score. The miRnome profile selected exo-miR130a-3p as the most overexpressed in patients with relapse. Peptidome analysis identified 4 fibrinopeptide A (fpA), which were depleted in progressing patients. Notably, the combination of exo-miR130a-3p and the greatest fpA (2-16) built a score where high-risk patients had 24 months of disease-free survival. Moreover, in vitro transfections showed that higher levels of exo-miR-130a-3p lead to a deregulation of some pathways involved in metastasis, in angiogenesis, such as in coagulation which could be linked to the FpA reduction. In conclusion, the identified risk score integrating circulating markers can help clinicians predict early-stage NSCLC patients who are more likely to relapse after initial surgery.

2022-05-01 | GSE198957 | GEO

A circulating risk score, based on combination of exo-miR130a-3p and fibrinopeptide A, as predictive biomarker of relapse in early stage non-small cell lung cancer patients.

Project description:To date, the 5-year overall survival of early-stage non-small cell lung cancer (NSCLC) is still unsatisfactory at 59.8%. Therefore, reliable prognostic factors are needed. Growing evidence shows that cancer progression may depend on a double interconnection between cancer cells and the surrounding tumor microenvironment; hence, circulating molecules may represent promising markers of cancer recurrence. Here, we performed in-depth analysis of circolome-derived markers, including Exo-miRnome and peptidome in 67 radically resected NSCLCs, to identify a prognostic score. The miRnome profile selected exo-miR130a-3p as the most overexpressed in patients with relapse. Peptidome analysis identified 4 progressively more degraded forms of fibrinopeptide A (fpA) in progressing patients. Notably, the combination of exo-miR130a-3p and the greatest fpA (2-16) built a score where high-risk patients had 24 months of disease-free survival. Moreover, in vitro transfections showed that higher levels of exo-miR-130a-3p lead to a deregulation of some pathways involved in metastasis, in angiogenesis, such as in coagulation which could be linked to the FpA reduction. In conclusion, the identified risk score integrating circulating markers can help clinicians predict early-stage NSCLC patients who are more likely to relapse after initial surgery.

2022-03-16 | MSV000089072 | MassIVE

A circulating risk score, based on combination of exo-miR130a-3p and fibrinopeptide A, as predictive biomarker of relapse in early stage non-small cell lung cancer patients [miRNA]

Project description:A circulating risk score, based on combination of exo-miR130a-3p and fibrinopeptide A, as predictive biomarker of relapse in early stage non-small cell lung cancer patients [miRNA]

| PRJNA817572 | ENA

A circulating risk score, based on combination of exo-miR130a-3p and fibrinopeptide A, as predictive biomarker of relapse in early stage non-small cell lung cancer patients [Nanostring]

| PRJNA817571 | ENA

A Circulating Risk Score, Based on Combined Expression of Exo-miR-130a-3p and Fibrinopeptide A, as Predictive Biomarker of Relapse in Resectable Non-Small Cell Lung Cancer Patients.

Project description:To date, the 5-year overall survival rate of 60% for early-stage non-small cell lung cancer (NSCLC) is still unsatisfactory. Therefore, reliable prognostic factors are needed. Growing evidence shows that cancer progression may depend on an interconnection between cancer cells and the surrounding tumor microenvironment; hence, circulating molecules may represent promising markers of cancer recurrence. In order to identify a prognostic score, we performed in-depth high-throughput analyses of plasma circulating markers, including exosomal microRNAs (Exo-miR) and peptides, in 67 radically resected NSCLCs. The miRnome profile selected the Exo-miR-130a-3p as the most overexpressed in relapsed patients. Peptidome analysis identified four progressively more degraded forms of fibrinopeptide A (FpA), which were depleted in progressing patients. Notably, stepwise Cox regression analysis selected Exo-miR-130a-3p and the greatest FpA (2-16) to build a score predictive of recurrence, where high-risk patients had 18 months of median disease-free survival. Moreover, in vitro transfections showed that higher levels of miR-130a-3p lead to a deregulation of pathways involved in metastasis and angiogenesis, including the coagulation process and metalloprotease increase which might be linked to FpA reduction. In conclusion, by integrating circulating markers, the identified risk score may help clinicians predict early-stage NSCLC patients who are more likely to relapse after primary surgery.

| S-EPMC9317031 | biostudies-literature

A circulating risk score, based on combination of exo-miR130a-3p and fibrinopeptide A, as predictive biomarker of relapse in early stage non-small cell lung cancer patients

Project description:This SuperSeries is composed of the SubSeries listed below.

2022-05-01 | GSE198959 | GEO

Development and validation of a secretome-specific prognostic and predictive gene expression signature for colorectal cancer

Project description:Relapse and metastatic progression is a frequent event in colorectal cancer patients detected at early stages. The risk of recurrence requires the development of new biomarkers to correctly predict biological behavior of early stage II and stage III patients and their response to adjuvant chemotherapy. Here, we combined the proteomic quantification of secreted proteins involved in metastasis with a transcriptional analysis to develop a risk score algorithm based on the expression of six genes (SEC6). The SEC6 signature was predictive of survival and recurrence for stage II and III patients in four different datasets including a total of 1534 patients and was also associated with deficient mismatch repair, CpG-island methylator positive status and BRAF mutation. SEC6 was also predictive of beneficial or detrimental effects from 5-Fluorouracil-containing regimes and the improved response to more aggressive chemotherapies based on FOLFOX and FOLFIRI. In summary, the SEC6 risk-score algorithm may constitute a new tool for decision-making in colorectal cancer management.

2022-12-27 | PXD032899 | Pride

Predictive computational obesity risk framework through integration of gene expression profiles and genetic risk score.

Project description:Predictive computational obesity risk framework through integration of gene expression profiles and genetic risk score.

| PRJNA431452 | ENA

Predictive computational obesity risk framework through integration of gene expression profiles and genetic risk score.

Project description:We aimed to predict obesity risk with genetic data, specifically, obesity-associated gene expression profiles. Genetic risk score was computed. The genetic risk score was significantly correlated with BMI when an optimization algorithm was used. Linear regression and built support vector machine models predicted obesity risk using gene expression profiles and the genetic risk score with a new mathematical method.

2018-01-25 | GSE109597 | GEO

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