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Madonna G, Masucci GV, Capone M, Mallardo D, Grimaldi AM, Simeone E, Vanella V, Festino L, Palla M, Scarpato L, Tuffanelli M, D’angelo G, Villabona L, Krakowski I, Eriksson H, Simao F, Lewensohn R, Ascierto PA. Clinical Categorization Algorithm (CLICAL) and Machine Learning Approach (SRF-CLICAL) to Predict Clinical Benefit to Immunotherapy in Metastatic Melanoma Patients: Real-World Evidence from the Istituto Nazionale Tumori IRCCS Fondazione Pascale, Napoli, Italy. Cancers (Basel) 2021; 13:4164. [PMID: 34439318 PMCID: PMC8391717 DOI: 10.3390/cancers13164164] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 07/31/2021] [Accepted: 08/16/2021] [Indexed: 12/18/2022] Open
Abstract
The real-life application of immune checkpoint inhibitors (ICIs) may yield different outcomes compared to the benefit presented in clinical trials. For this reason, there is a need to define the group of patients that may benefit from treatment. We retrospectively investigated 578 metastatic melanoma patients treated with ICIs at the Istituto Nazionale Tumori IRCCS Fondazione "G. Pascale" of Napoli, Italy (INT-NA). To compare patients' clinical variables (i.e., age, lactate dehydrogenase (LDH), neutrophil-lymphocyte ratio (NLR), eosinophil, BRAF status, previous treatment) and their predictive and prognostic power in a comprehensive, non-hierarchical manner, a clinical categorization algorithm (CLICAL) was defined and validated by the application of a machine learning algorithm-survival random forest (SRF-CLICAL). The comprehensive analysis of the clinical parameters by log risk-based algorithms resulted in predictive signatures that could identify groups of patients with great benefit or not, regardless of the ICI received. From a real-life retrospective analysis of metastatic melanoma patients, we generated and validated an algorithm based on machine learning that could assist with the clinical decision of whether or not to apply ICI therapy by defining five signatures of predictability with 95% accuracy.
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Affiliation(s)
- Gabriele Madonna
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Napoli, Italy; (G.M.); (M.C.); (D.M.); (A.M.G.); (E.S.); (V.V.); (L.F.); (M.P.); (L.S.); (M.T.); (G.D.)
| | - Giuseppe V. Masucci
- Theme Cancer, Karolinska University Hospital, 171 76 Stockholm, Sweden; (G.V.M.); (L.V.); (H.E.); (R.L.)
- Department of Oncology and Pathology, Karolinska Institutet, 171 64 Stockholm, Sweden;
| | - Mariaelena Capone
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Napoli, Italy; (G.M.); (M.C.); (D.M.); (A.M.G.); (E.S.); (V.V.); (L.F.); (M.P.); (L.S.); (M.T.); (G.D.)
| | - Domenico Mallardo
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Napoli, Italy; (G.M.); (M.C.); (D.M.); (A.M.G.); (E.S.); (V.V.); (L.F.); (M.P.); (L.S.); (M.T.); (G.D.)
| | - Antonio Maria Grimaldi
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Napoli, Italy; (G.M.); (M.C.); (D.M.); (A.M.G.); (E.S.); (V.V.); (L.F.); (M.P.); (L.S.); (M.T.); (G.D.)
| | - Ester Simeone
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Napoli, Italy; (G.M.); (M.C.); (D.M.); (A.M.G.); (E.S.); (V.V.); (L.F.); (M.P.); (L.S.); (M.T.); (G.D.)
| | - Vito Vanella
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Napoli, Italy; (G.M.); (M.C.); (D.M.); (A.M.G.); (E.S.); (V.V.); (L.F.); (M.P.); (L.S.); (M.T.); (G.D.)
| | - Lucia Festino
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Napoli, Italy; (G.M.); (M.C.); (D.M.); (A.M.G.); (E.S.); (V.V.); (L.F.); (M.P.); (L.S.); (M.T.); (G.D.)
| | - Marco Palla
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Napoli, Italy; (G.M.); (M.C.); (D.M.); (A.M.G.); (E.S.); (V.V.); (L.F.); (M.P.); (L.S.); (M.T.); (G.D.)
| | - Luigi Scarpato
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Napoli, Italy; (G.M.); (M.C.); (D.M.); (A.M.G.); (E.S.); (V.V.); (L.F.); (M.P.); (L.S.); (M.T.); (G.D.)
| | - Marilena Tuffanelli
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Napoli, Italy; (G.M.); (M.C.); (D.M.); (A.M.G.); (E.S.); (V.V.); (L.F.); (M.P.); (L.S.); (M.T.); (G.D.)
| | - Grazia D’angelo
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Napoli, Italy; (G.M.); (M.C.); (D.M.); (A.M.G.); (E.S.); (V.V.); (L.F.); (M.P.); (L.S.); (M.T.); (G.D.)
| | - Lisa Villabona
- Theme Cancer, Karolinska University Hospital, 171 76 Stockholm, Sweden; (G.V.M.); (L.V.); (H.E.); (R.L.)
| | - Isabelle Krakowski
- Department of Oncology and Pathology, Karolinska Institutet, 171 64 Stockholm, Sweden;
- Theme Inflammation, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Hanna Eriksson
- Theme Cancer, Karolinska University Hospital, 171 76 Stockholm, Sweden; (G.V.M.); (L.V.); (H.E.); (R.L.)
- Department of Oncology and Pathology, Karolinska Institutet, 171 64 Stockholm, Sweden;
| | - Felipe Simao
- Genevia Technologies OY, 33100 Tampere, Finland;
| | - Rolf Lewensohn
- Theme Cancer, Karolinska University Hospital, 171 76 Stockholm, Sweden; (G.V.M.); (L.V.); (H.E.); (R.L.)
- Department of Oncology and Pathology, Karolinska Institutet, 171 64 Stockholm, Sweden;
| | - Paolo Antonio Ascierto
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Napoli, Italy; (G.M.); (M.C.); (D.M.); (A.M.G.); (E.S.); (V.V.); (L.F.); (M.P.); (L.S.); (M.T.); (G.D.)
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