Abstract 5089
Background
The variability of clinical response to immune checkpoint inhibitors in RCC patients makes necessary the discovery of predictive biomarkers for patient selection. Emerging evidence has revealed a multitude of silenced genes and deregulated signalling pathways. These findings point towards extensive microRNAs (miRNAs) regulation and imply epigenetic reprogramming as a key feature of RCC. The aim of this study was to analyze the peripheral lymphocyte miRNA expression profile in metastatic RCC patients undergoing nivolumab treatment, to identify a lymphocyte miRNA signature specifically expressed in patients with partial or complete response (RP; RC) >12 months.
Methods
miRNAs were isolated from peripheral lymphocytes of 18 mRCC patients treated with nivolumab as 2nd line. The blood samples were collected before starting treatment (T0) and after 4 weeks (T1). The expression profile of 377 miRNAs was analyzed, with a cut off of fold change >2 for up-regulated and <0.3 for down-regulated miRNAs. Patients were divided into 2 groups: i) patients with disease progression (PD) within 6 months of treatment (P1); ii) patients with durable response (SD, RP, RC) >12 months (P2).
Results
Microarray analysis showed several differentially expressed miRNAs in peripheral lymphocytes of P1 and P2, involved in RCC signaling pathways such as VHL-HIF, PI3K/Akt, PTEN and WNT-β-catenin. Surprisingly, patients with RC > 12 months showed a subset of 8 miRNAs (miR-24, miR-22, miR-99a, miR-708, miR-339, miR-335, miR-214, miR-194) specifically induced by nivolumab treatment. These miRNAs are silenced or downregulated in RCC. This could explain the exceptional up-regulation in long-responder patients, evident already after 4 weeks of treatment.
Conclusions
Our study for the first time analyzed the miRNA expression profile in peripheral lymphocytes and showed the exceptional up-regulation of a specific subset of miRNA only in RCC patients with durable (<12 months) and complete response to nivolumab treatment. These findings could help to identify novel predictive biomarkers urgently needed to guide clinical decision-making in RCC patients.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Department of Surgical, Oncological and Oral Sciences, University of Palermo.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
5517 - Molecular fingerprinting in breast cancer (BC) screening using Quantum Optics (QO) technology combined with an artificial intelligence (AI) approach applying the concept of “molecular profiles at n variables (MPnV)”: a prospective pilot study.
Presenter: Jean-Marc Nabholtz
Session: Poster Display session 3
Resources:
Abstract
2152 - Inferring the correlation between incidence rates of melanoma and the average tumor-specific epitope binding ability of HLA class I molecules in different populations
Presenter: Istvan Miklos
Session: Poster Display session 3
Resources:
Abstract
4382 - Thermal Liquid Biopsy as a Valuable Tool in Lung Cancer Screening Programs
Presenter: Alberto Rodrigo
Session: Poster Display session 3
Resources:
Abstract
2465 - Towards a screening test for cancer by circulating DNA analysis
Presenter: Rita Tanos
Session: Poster Display session 3
Resources:
Abstract
3788 - Evaluation of a successful launch of the MammaPrint and BluePrint NGS kit
Presenter: Leonie Delahaye
Session: Poster Display session 3
Resources:
Abstract
3863 - Analysis of prognostic factors on overall survival in elderly women treated for early breast cancer using data mining and machine learning
Presenter: Pierre Heudel
Session: Poster Display session 3
Resources:
Abstract
1993 - Circulating tumor cell detection in epithelial ovarian cancer using dual-component antibodies targeting EpCAM and FRα
Presenter: Na Li
Session: Poster Display session 3
Resources:
Abstract
4281 - CEUS of the breast: Is it feasible in improved performance of BI-RADS evaluation of critical breast lesions?——A multi-center prospective study in China
Presenter: Jun Luo
Session: Poster Display session 3
Resources:
Abstract
2268 - Classification of abnormal findings on ring-type dedicated breast PET for detecting breast cancer
Presenter: Shinsuke Sasada
Session: Poster Display session 3
Resources:
Abstract
4035 - Prediction of benign and malignant breast masses using digital mammograms texture features
Presenter: Cui Yanhua
Session: Poster Display session 3
Resources:
Abstract