Investigator

Ignazio Puccio

Research Officer and Honorary Senior Biomedical Scientist · Imperial College London, Department of Surgery and Cancer

About

IPIgnazio Puccio
Papers(1)
Identification of act…
Collaborators(10)
Jacqueline A ShawKaren PageNik MatthewsOtis AgbaimoniR Charles CoombesRebecca C AllsoppRehman FarahZhao ChengDaniel Fernandez‐Garc…Darren P Ennis
Institutions(4)
Imperial College Lond…University of Leicest…Imperial College Lond…Imperial College Heal…

Papers

Identification of actionable targets using DEPArray ‐based sorting of pure carcinoma and stromal populations from formalin‐fixed paraffin‐embedded tissues followed by shallow whole‐genome sequencing

Abstract Formalin‐fixed paraffin‐embedded (FFPE) tissue specimens represent precious resources for clinical genomic profiling studies, especially when coupled with comprehensive medical records. Even though next‐generation sequencing (NGS) is an effective tool to detect somatic mutations and somatic copy number alterations (sCNA), the biggest challenges in unlocking clinically translatable genomic information from FFPE tissue are low DNA yields and degraded DNA, affected by variable formalin fixation. Another issue is that the proportion of carcinoma and other noncarcinoma cells is variable and can be confounded by intratumoral heterogeneity. To explore these challenges, we isolated pure carcinoma and stromal cells using the DEPArray™ NxT system, a microchip‐based digital sorter that allows isolation of pure, homogeneous subpopulations of cells from FFPE samples. We isolated pure carcinoma and stromal cell populations from 12 FFPE tissues, including tissues from nine primary and metastatic breast cancer and three primary ovarian high‐grade serous carcinomas. This was followed by downstream shallow whole‐genome sequencing (WGS) for copy number landscape profiling (10 samples) and/or a targeted panel for somatic mutation and sCNA analysis (seven samples), subject to cell availability. Seven out of 10 samples (even some with low tumour content or of old age) produced good‐quality genomic data, detecting sCNA in all carcinoma population samples but not in the stromal populations. Mutation analysis was performed successfully in 6/7 samples and somatic mutations were detected in all of them. Our workflow enabled the identification of clinically actionable targets, including PIK3CA, ERBB2, FGFR1/2, CDK6, CCNE1, KRAS amplifications and RB, BRCA1/2 losses in patients that would direct therapy. © 2025 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

10Works
1Papers
14Collaborators
Breast NeoplasmsOvarian NeoplasmsBiomarkers, Tumor

Positions

2021–

Research Officer and Honorary Senior Biomedical Scientist

Imperial College London · Department of Surgery and Cancer

2013–

Honorary Research Fellow

University College London · Research Department of Pathology, Cancer Institute

2021–

HCPC Specialist Biomedical Scientist Histopathology

Guy's and St Thomas' NHS Foundation Trust · Cellular Pathology

2021–

Genetic Technologist

Oncologica UK

2020–

Technical Application Scientist II

Thermo Fisher Scientific

2020–

Fellow - Africa Food Safety System

International Livestock Research Institute Ethiopia · Animal and Human Health program

2011–

Biomedical Scientist and Biologist

Fondazione IRCCS Policlinico San Matteo

2009–

Undergraduate Research Assistant - Internship

Universidad de Oviedo Facultad de Medicina y Ciencias de la Salud · Department of Cell Biology and Morphology

2008–

Undergraduate Research Assistant - Internship

Università degli Studi di Messina · Dipartimento di Scienze dell'ambiente, della Sicurezza, del Territorio, degli Alimenti e della Salute (S.A.S.T.A.S.)

Education

2020

Master Food Science and Applied Dietetics

Unitelma Sapienza University

2013

MSc Healthcare Management

Università LUM Jean Monnet

2011

MSc Molecular and Cellular Biology

Università degli Studi di Urbino Carlo Bo

2008

BSc (Hons) Biomedical Science

University of Messina

Country

GB

Keywords
immunohistochemistrypathologyhistologymultiplexhistopathologyIF MULTIPLEXIHC MULTIPLEXoesophageal cancerFOOD SECURITYFOOD SCIENCE