WANT A PROFILE LIKE THIS?
Create my FREE Plan Or learn about other options
Fabrizio Bianchi
PeerJ Editor
300 Points

Contributions by role

Editor 300

Contributions by subject area

Bioinformatics
Molecular Biology
Oncology
Women's Health
Respiratory Medicine
Medical Genetics
Genomics

Fabrizio Bianchi

PeerJ Editor

Summary

I graduated at the University of Milan and obtained my PhD (Molecular and Cell Biology) degree while working at the FIRC Institute for Molecular Oncology (Milan, Italy) and then at Oxford University (Oxford, UK). I worked as postdoctoral fellow in Pier Paolo Di Fiore’s lab at IFOM, Milan, and then at the Program of Molecular Medicine of the European Institute of Oncology (Milan, Italy). Since 2016, I am the Head of the Cancer Biomarkers Unit at the Institute for Regenerative Medicine (ISBReMIT) at Casa Sollievo della Sofferenza-IRCCS. I have several years of research experience in the field of cancer genomics and biomarkers development, particularly in the field of circulating miRNAs, cancer gene expression profile and computational biology. I have contributed to the identification of a serum circulating miRNA-signature for early detection of lung cancer, which was patented and transferred to a SME. I am an inventor in international patents regarding diagnostic and prognostic tools for lung cancer screening (US8747867B2; US20150057159A1; US20160068913A1). I am an active member of the American Association for Cancer Research (AACR), the European Association for Cancer Research (EACR), the International Association for the Study of Lung Cancer (IASLC) and the Italian Society for Cancer Research (SIC) where I hold the position of secretary and member of director board.

Bioinformatics Genomics Molecular Biology Oncology

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences

Work details

Head, Cancer Biomarkers Unit

Fondazione IRCCS Casa Sollievo della Sofferenza
February 2016
ISBReMIT
Our laboratory uses a combination of genomic, computational and functional approaches to analyze cancer transcriptome and to identify biomarkers to better understand the molecular mechanisms of tumor progression and improve diagnosis and prognosis.

Websites

  • LinkedIn

PeerJ Contributions

  • Edited 2

Academic Editor on

July 14, 2022
Novel lncRNAs with diagnostic or prognostic value screened out from breast cancer via bioinformatics analyses
Hongxian Wang, Lirong Shu, Nan Niu, Chenyang Zhao, Shuqi Lu, Yanhua Li, Huanyu Wang, Yao Liu, Tianhui Zou, Jiawei Zou, Xiaoqin Wu, Yun Wang
https://doi.org/10.7717/peerj.13641 PubMed 35855425
October 21, 2021
Development of a novel embryonic germline gene-related prognostic model of lung adenocarcinoma
Linjun Liu, Ke Xu, Yubai Zhou
https://doi.org/10.7717/peerj.12257 PubMed 34721973