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Publications

Publications from the Caravagna Lab

Outputs · Publications

Our scientific record.

A live publication list drawn from Giulio Caravagna’s Google Scholar profile. Citation counts reflect Scholar and may change over time.

The laboratory was established in 2020; earlier publications reflect the PI’s PhD and postdoctoral research.

PI’s Google Scholar

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Research selected by the laboratory.

bioRxiv

2026

Tumour evolution as ground truth for cancer whole-genome sequencing

10.64898/2026.06.09.731105

bioRxiv

2025

Timing and clustering co-occurring genome amplifications in cancers

10.1101/2025.03.31.646456

Genome Biology

2025

MIDAA: deep archetypal analysis for interpretable multi-omic data integration based on biological principles

10.1186/s13059-025-03530-9

Genome Biology

2025

BASCULE: bayesian inference and clustering of mutational signatures leveraging biological priors

10.1186/s13059-025-03835-9

Genome Biology

2024

Computational validation of clonal and subclonal copy number alterations from bulk tumor sequencing using CNAqc

10.1186/s13059-024-03170-5

Nature Communications

2026

Scalable, fast and accurate differential gene expression testing from millions of cells of multiple patients

10.1038/s41467-026-74451-9

Nature Communications

2024

Clinical application of tumour-in-normal contamination assessment from whole genome sequencing

10.1038/s41467-023-44158-2

Annals of Oncology

2023

Clonal KEAP1 mutations with loss of heterozygosity share reduced immunotherapy efficacy and low immune cell infiltration in lung adenocarcinoma

10.1016/j.annonc.2022.12.002

bioRxiv

2024

A high-throughput 3D culture microfluidic platform for multi-parameter phenotypic and omics profiling of patient-derived organoids

10.1101/2024.12.28.630600

Cancer discovery

2026

Negative selection maintains grossly altered but broadly stable karyotypes in metastatic colorectal cancer

10.1158/2159-8290.cd-24-0813

Cancer Research

2025

Epigenetic Heritability of Cell Plasticity Drives Cancer Drug Resistance through a One-to-Many Genotype-to-Phenotype Paradigm

10.1158/0008-5472.can-25-0999

Cancer Research

2023

Tumor evolution and immune microenvironment dynamics define response to neoadjuvant treatment of esophageal adenocarcinoma

10.1158/1538-7445.am2023-4539

Clinical Cancer Research

2026

Clinical significance of EGFR amplification in patients with EGFR-mutated metastatic non-small cell lung cancer receiving first-line osimertinib

10.1158/1078-0432.ccr-26-0924

Clinical Cancer Research

2024

Transcriptional Phenocopies of Deleterious KEAP1 Mutations Correlate with Survival Outcomes in Lung Cancer Treated with Immunotherapy

10.1158/1078-0432.ccr-24-0626

Nature

2024

The genomic landscape of 2,023 colorectal cancers

10.1038/s41586-024-07747-9

Nature

2024

Long-term lineage commitment in haematopoietic stem cell gene therapy

10.1038/s41586-024-08250-x

Nature Biotechnology

2022

Chromatin Velocity reveals epigenetic dynamics by single-cell profiling of heterochromatin and euchromatin

10.1038/s41587-021-01031-1

Nature Cancer

2025

Evolutionary and immune microenvironment dynamics during neoadjuvant treatment of esophageal adenocarcinoma

10.1038/s43018-025-00955-w

Nature communications

2025

Genomic landscape of diffuse glioma revealed by whole genome sequencing

10.1038/s41467-025-59156-9

Nature communications

2025

Early tolerance and late persistence as alternative drug responses in cancer

10.1038/s41467-024-54728-7

Nature Communications

2023

Cancer genomes tolerate deleterious coding mutations through somatic copy number amplifications of wild-type regions

10.1038/s41467-023-39313-8

Nature Genetics

2024

Homopolymer switches mediate adaptive mutability in mismatch repair-deficient colorectal cancer

10.1038/s41588-024-01777-9

Nature Genetics

2020

Subclonal reconstruction of tumors by using machine learning and population genetics

10.1038/s41588-020-0675-5

Nature Methods

2018

Detecting repeated cancer evolution from multi-region tumor sequencing data

10.1038/s41592-018-0108-x

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Cancer Data Science Laboratory
Computational oncology · Cancer evolution · Machine learning

Department of Mathematics, Informatics and Geosciences
Via D. Economo 12/3 · 34123 Trieste · Italy

University of Trieste