banda transcan 2 2016ul

Title: Targeting sphingolipid metabolism to improve anti-melanoma immunotherapy

Project Coordinator:
Nathalie ANDRIEU (France) UMR1037 Inserm/Cancer Research Center of Toulouse/ Toulouse III University, Toulouse


Project Partners:
Jean-Christophe MARINE (Belgium) VIB-KU Leuven, Center for the Biology of Disease, Laboratory for Molecular Cancer Biology, Leuven
Brigitte DRENO (France) Department of Dermatology, Skin Cancer Unit, Nantes University Hospital, Nantes
Luisa LANFRANCONE (Italy) European Institute of Oncology, Department of Experimental Oncology, Milano
Josep MALVEHY (Spain) Melanoma Unit, Dermatology Department, Fundacio Clinic per a la Recerca Biomédica, Hospital Clinic de Barcelona, Barcelona

Project Abstract:
Immune checkpoint inhibitors (ICI) have shown unprecedented and long-lasting anti-tumor response in patients with metastatic melanoma. To extend the proportion of responders, prevent cancer recurrence and improve the efficacy in other cancers, novel strategies are urgently needed. Also, personalized therapies, based on robust prognostic and predictive factors, are necessary to resource allocation and toxicity management.
We recently discovered that sphingolipid (SL) metabolism is strongly altered in melanoma, leading to oncometabolites that modify the tumor microenvironment. Unpublished preclinical data reveal that SLs critically regulate tumor progression and anti-melanoma immune responses. We hypothesize that: (i) SL blocking agents (SBA) synergize with ICI in inducing anti-tumor responses and (ii) SL levels and/or SL-metabolizing enzymes constitute useful biomarkers predictive of prognosis and treatment outcome in response to ICI.
IMMUSPHINX aims at developing new combined therapeutic strategies that target both SL metabolism and immune checkpoints.
Moreover, to individualize new immune modulating therapies, IMMUSPHINX aims at identifying prognostic and/or predictive biomarkers. Specifically, IMMUSPHINX will determine: (i) the efficacy of novel approaches combining SBA with ICI; (ii) how SLs affect tumor microenvironment and facilitate anti-melanoma immune responses by analyzing the sphingolipidome of tumors and plasma, and by identifying immune signatures; (iii) whether intratumoral SL metabolizing-enzymes and/or peripheral blood SLs could serve as biomarkers predictive of ICI efficacy. These parameters as well as treatment efficacy in melanoma patients will be analyzed using (Ir) RECIST both in a retrospective and prospective manner.
Overall, IMMUSPHINX is an essential step to (i) define the eligibility criteria for this novel strategy combining SBA and ICI, and (ii) set up a clinical trial using SBA as adjuvants for immune-based therapies in cancer patients.

(Project selected for funding under JTC 2015)


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TRANSCAN-3 preannounces the launch of its second call for proposals (JTC 2022) on the topic:
 "Novel translational approaches to tackle the challenges of hard-to-treat cancers from early diagnosis to therapy"  
Please visit the TRANSCAN-3 website at:

Other news:

The Digital Institute for Cancer Outcomes Research (DIGICORE),  is delighted to announce an innovative new training programme for early career researchers in oncology: IDEAL4RWE.
 Please register for an introductory webinar on the19th April 2022(
Brochure for more details:

 The first TRANSCAN-3 call (JTC 2021) on:
"Next generation cancer immunotherapy: targeting the tumour microenvironment"
is closed for submission

International Networking Event (virtual)
on 22 April 2021 hrs 9:00 CET
will focus on the forthcoming co-funded JTC 2021 on:
"Next generation cancer immunotherapy: targeting the tumour microenvironment" 
the event is organized by TUBITAK under the “Turkey in Horizon 2020 Phase II” Technical Assistance Project
in cooperation with TRANSCAN-3

The new ERA-NET Cofund TRANSCAN-3:
 Sustained collaboration of national and regional programmes in cancer research
is funded by the European Commission under H2020  which started on 1st March 2021 and will last five years (G. A. no. 964264)

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 643638.

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