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Abstract 2606: A nCounter-Based mRNA signature in plasma associates with localized non-small cell lung cancer

Authors :
Richard Boykind
Carlos González Pedraz
Clara Mayo-de-las-Casas
Jillian Wilhelmina Paulina Bracht
Carlos Cabrera-Gálvez
A. Aguilar-Hernández
Pablo Rubinstein
Alejandro Martinez-Bueno
Nicolas Potie
Maria Gonzalez-Cao
Miguel Ángel Molina-Vilaa
Chung-Ying Huang
Ana Gimenez Capitan
Rafael Rosell
Santiago Viteri
Sarah H. Warren
Joselyn Valarezo
Source :
Cancer Research. 81:2606-2606
Publication Year :
2021
Publisher :
American Association for Cancer Research (AACR), 2021.

Abstract

Background: 80% of non-small cell lung cancer (NSCLC) cases are diagnosed at stages IIIB-IV and have a dismal prognosis with a median life expectancy that does not exceed 2 years. In contrast, patients diagnosed at early and locally advanced stages (I-IIIA) can undergo surgery and have the potential to be totally cured. Imaging technologies often detect lung nodules of unknown significance that pose a diagnostic challenge; some patients with benign nodules are submitted to unnecessary surgical interventions while others with small tumors are just kept in observation, risking a significant delay for treatment. A diagnostic test that could differentiate between benign and malignant masses would be of great help in this setting. Methods: Circulating-free RNA (cfRNA) was isolated from the plasma of healthy individuals (N=21), early(I-II) stage (N=22) and stage IIIA (N=12) NSCLC patients, using an automatic extraction method(Qiasymphony, Qiagen). Purified cfRNA was quantified using Qubit, retrotranscribed and pre-amplified (14cycles) using the Low RNA Input Amplification kit (NanoString Technologies). Gene expression analysis was performed on the nCounter platform using the PanCancer IO360TM (NanoString Technologies), which can detect 770 transcripts related to tumor biology, micro-environment and the immune system. Results: Gene expression analysis revealed differential patterns for some cf-mRNAs from localized stage NSCLC patients versus healthy controls. A bioinformatics recursive feature elimination algorithm selected a 16-gene mRNA signature that was able to distinguish between localized NSCLC and control samples with an area under the ROC curve of 0.91 to 0.95. Furthermore, the signature scores derived from the algorithm were significantly different between the two cohorts. Conclusions: We have found an 16-gene signature that can differentiate between cfRNA of localized stages NSCLC patients and control individuals. Our results warrant validation studies in larger cohorts. Citation Format: Ana Giménez Capitán, Jillian Bracht, Nicolas Potie, María González-Cao, Santiago Viteri, Alejandro Martínez-Bueno, Carlos Cabrera-Gálvez, Pablo Rubinstein, Clara Mayo-de-las-Casas, Joselyn Valarezo, Chung-Ying Huang, Carlos Pedraz, Richard Boykind, Sarah Warren, Rafael Rosell, Miguel Ángel Molina-Vilaa, Andrés Aguilar-Hernández. A nCounter-Based mRNA signature in plasma associates with localized non-small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2606.

Details

ISSN :
15387445 and 00085472
Volume :
81
Database :
OpenAIRE
Journal :
Cancer Research
Accession number :
edsair.doi...........4a7dc7b45ebb82dd6dd7efdae6652624