Skip to main content

ANEMONE

The ANswer within the microEnvironment: Malignant pleural mesothelioma resistance to Old and NEw drugs

JTC 2021 Finished

The ANswer within the microEnvironment: Malignant pleural mesothelioma resistance to Old and NEw drugs

Project information

Acronym ANEMONE
Call JTC 2021
Joint Call (JTC 2021)
Duration 36 months
Cancer type Various cancers

Abstract

BACKGROUND AND RATIONALE: Pleural mesothelioma (PM) is an intrathoracic neoplasia with an unfavourable prognosis. Although rare, a high peak incidence is expected in 2020-2025. The most important risk factor is asbestos exposure that leads to a protracted immune response, making PM a candidate for immunotherapeutic approaches. However, to date the overall response rates to treatment with immune checkpoint inhibitors (ICI) are only 10-20%.
HYPOTHESIS: The hypothesis is that the tumour microenvironment (TME), particularly tumour immune microenvironment (TIM), plays a crucial role in the development/progression of PM, affecting survival of mesothelial cells and escape from immunosurveillance.
AIM: The main goal of the project is the identification of predictive biomarkers of ICI response.
METHODS: The research will be done on 360 chemo naïve pleural biopsies from PM patients that will undergo neoadjuvant chemotherapy followed by surgery or palliative systemic treatment (platinum-based chemotherapy or ICI). A subset of PM tissues from patients undergoing surgery will be investigated before and after treatment. The research will be based on a multidisciplinary and interdisciplinary approach. Through advanced statistical methods (machine learning algorithms), clinical data, and findings from immunofluorescence, high-throughput molecular assays, radiomics, and magnetic resonance will be integrated to identify the most discriminative predictive features for the ICI treatment response. Experimental models (in vitro and in vivo) for functional studies will also be considered.
EXPECTED RESULTS AND POTENTIAL IMPACT: ANEMONE is built upon the strong belief that there are specific key pathways and TME/TIM markers capable of predicting the prognosis and the response to ICI in PM patients. The identification of these pathways could have a strong impact on PM patient management allowing a better treatment response and outcome.

Scientifically related projects based on shared cancer type and/or Joint Transnational Call.

6
Various cancers Same call
TRANSCAN-3 · JTC 2021

ImmuMet

Invigorating immunity against brain metastases in lung and breast cancer patients

Various cancers Same call
TRANSCAN-3 · JTC 2021

LipidMac

Exploiting lipid-laden macrophages to overcome resistance to cancer immunotherapy

Various cancers Same call
TRANSCAN-3 · JTC 2021

Pur-Ther

New immunotherapies targeting the key purinergic checkpoints in the tumor microenvironment

Various cancers Same call
TRANSCAN-3 · JTC 2021

SmartCAR-T

SmartCAR-T - Reprogramming of the tumor microenvironment with modular engineered CAR-T cells to augment the efficacy of immunotherapy

Various cancers Same call
TRANSCAN-3 · JTC 2021

TANGERINE

Artificial-intelligence-based end-to-end prediction of cancer immunotherapy response

Countries involved

4
AT IT LV PT

Funding organisations

5

Consortium partners

5 participants
Role Participant Organisation City Country
Coordinator Fiorella Calabrese University of Padova Padova IT
Partner Luka Brcic Medical University of Graz
Diagnostic and Research Centre of Molecular BioMedicine
Graz AT
Partner Chiara Romei Azienda Ospedaliero-Universitaria Pisana Pisa IT
Partner Ilze Strumfa Riga Stradins University
Faculty of Medicine
Riga LV
Partner Lina Carvalho University of Coimbra
Faculty of Medicine
Coimbra PT