Lung cancer (LC) is often diagnosed at an advanced stage, when it is not radically curable. Minimally invasive methods allowing identification of asymptomatic subjects with early LC are urgently needed and selected microRNAs (miRNAs) have been suggested as circulating cell-free biomarkers of LC. We compared the performance of two methods, namely qPCR (both absolute and relative) and droplet digital PCR (ddPCR), in accurately measuring the levels of circulating miRNAs of interest for LC. It was found that ddPCR is more precise and provides higher throughput of analysis than standard qPCR, at a similar cost-per-sample; moreover, ddPCR does not rely on external calibrators or reference genes. Following systematic review of the pertinent literature, eight miRNAs of interest for LC were identified and measured by ddPCR in the serum of 85 patients with early LC (stage I and II) and 83 controls. Four miRNAs (let-7a, miR-210, miR-320a, miR-221) showed significantly different serum level in LC patients and in controls. For each of these miRNAs, the Receiver Operating Characteristic curve was constructed and the Area Under the Curve showed fair accuracy in identifying LC cases (about 0.7 for each miRNA). In conclusion, ddPCR was a robust method for absolute quantification of miRNAs of interest for LC. Testing the combination of the above four miRNAs in the serum may help identifying subjects with early LC.

Determination of serum miRNAs biomarkers of lung cancer by quantitative PCR (qPCR) and by droplet digital PCR (ddPCR). Determinazione dei livelli sierici dei miRNA come biomarcatori del cancro al polmone mediante PCR quantitativa (qPCR) e droplet digital PCR (ddPCR) / Gini, Elisabetta. - (2016).

Determination of serum miRNAs biomarkers of lung cancer by quantitative PCR (qPCR) and by droplet digital PCR (ddPCR). Determinazione dei livelli sierici dei miRNA come biomarcatori del cancro al polmone mediante PCR quantitativa (qPCR) e droplet digital PCR (ddPCR).

Gini, Elisabetta
2016-01-01

Abstract

Lung cancer (LC) is often diagnosed at an advanced stage, when it is not radically curable. Minimally invasive methods allowing identification of asymptomatic subjects with early LC are urgently needed and selected microRNAs (miRNAs) have been suggested as circulating cell-free biomarkers of LC. We compared the performance of two methods, namely qPCR (both absolute and relative) and droplet digital PCR (ddPCR), in accurately measuring the levels of circulating miRNAs of interest for LC. It was found that ddPCR is more precise and provides higher throughput of analysis than standard qPCR, at a similar cost-per-sample; moreover, ddPCR does not rely on external calibrators or reference genes. Following systematic review of the pertinent literature, eight miRNAs of interest for LC were identified and measured by ddPCR in the serum of 85 patients with early LC (stage I and II) and 83 controls. Four miRNAs (let-7a, miR-210, miR-320a, miR-221) showed significantly different serum level in LC patients and in controls. For each of these miRNAs, the Receiver Operating Characteristic curve was constructed and the Area Under the Curve showed fair accuracy in identifying LC cases (about 0.7 for each miRNA). In conclusion, ddPCR was a robust method for absolute quantification of miRNAs of interest for LC. Testing the combination of the above four miRNAs in the serum may help identifying subjects with early LC.
2016
microRNA, lung cancer, serum biomarkers, qPCR, ddPCR
Determination of serum miRNAs biomarkers of lung cancer by quantitative PCR (qPCR) and by droplet digital PCR (ddPCR). Determinazione dei livelli sierici dei miRNA come biomarcatori del cancro al polmone mediante PCR quantitativa (qPCR) e droplet digital PCR (ddPCR) / Gini, Elisabetta. - (2016).
File in questo prodotto:
File Dimensione Formato  
Phd_Thesis_Ginielisabetta_completa.pdf

Open Access dal 23/12/2018

Descrizione: testo completo tesi
Tipologia: Tesi di dottorato
Licenza: Non specificato
Dimensione 9.79 MB
Formato Adobe PDF
9.79 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2090394
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact