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1. Current Insights on the Treatment of Anaplastic Lymphoma Kinase-Positive Metastatic Non-Small Cell Lung Cancer: Focus on Brigatinib

Author

Rijavec E, Biello F, Indini A, Grossi F, and Genova C

Subjects
brigatinib, non-small cell lung cancer, anaplastic lymphoma kinase, Therapeutics. Pharmacology, RM1-950
Abstract

Erika Rijavec,1 Federica Biello,2 Alice Indini,3 Francesco Grossi,3 Carlo Genova4,5 1Medical Oncology Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milano, Italy; 2Division of Oncology, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy; 3Division of Medical Oncology, University of Insubria, ASST dei Sette Laghi, Varese, Italy; 4UO Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy; 5Department of Internal Medicine and Medical Specialties (DIMI), Università degli Studi di Genova, Genova, ItalyCorrespondence: Erika Rijavec, Email ery80x@yahoo.itAbstract: Rearrangement of anaplastic lymphoma kinase (ALK) gene is detected in approximately 5% of non-small cell lung cancer (NSCLC) patients. Tyrosine kinase inhibitors targeting ALK have significantly improved the prognosis of these patients. However, most patients experienced disease progression within a few years due to acquired resistance. Brigatinib is a second-generation ALK inhibitor effective in presence of several ALK mutations with demonstrated activity against central nervous system metastases. Currently, brigatinib is approved to treat ALK-positive metastatic NSCLC patients not previously treated with ALK inhibitors and patients who have progressed on or are intolerant to crizotinib. In this review, we provide a summary of results from clinical trials involving brigatinib, and we discuss its possible role in the management of ALK-positive NSCLC in the following years.Keywords: brigatinib, non-small cell lung cancer, anaplastic lymphoma kinase

Published
2022

3. Activity of osimeRTInib in non-small-cell lung Cancer with UNcommon epidermal growth factor receptor mutations: retrospective Observational multicenter study (ARTICUNO)

Author

Pizzutilo, E.G., Agostara, A.G., Oresti, S., Signorelli, D., Stabile, S., Lauricella, C., Motta, V., Amatu, A., Ruggieri, L., Brambilla, M., Occhipinti, M., Proto, C., Giusti, R., Filetti, M., Genova, C., Barletta, G., Gelsomino, F., Bennati, C., Siringo, M., Di Fazio, G.R., Russano, M., Montrone, M., Gariazzo, E., Roca, E., Bordi, P., Delmonte, A., Scimone, A., Belluomini, L., Mazzoni, F., Carta, A., Pelizzari, G., Viscardi, G., Morgillo, F., Gelibter, A., Gori, S., Berardi, R., Cortinovis, D., Ardizzoni, A., Veronese, S.M., Sartore-Bianchi, A., Giannetta, L.G., Cerea, G., and Siena, S.

Published
2024
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4. Artificial intelligence for predictive biomarker discovery in immuno-oncology: a systematic review

Author

Prelaj, A., Miskovic, V., Zanitti, M., Trovo, F., Genova, C., Viscardi, G., Rebuzzi, S.E., Mazzeo, L., Provenzano, L., Kosta, S., Favali, M., Spagnoletti, A., Castelo-Branco, L., Dolezal, J., Pearson, A.T., Lo Russo, G., Proto, C., Ganzinelli, M., Giani, C., Ambrosini, E., Turajlic, S., Au, L., Koopman, M., Delaloge, S., Kather, J.N., de Braud, F., Garassino, M.C., Pentheroudakis, G., Spencer, C., and Pedrocchi, A.L.G.

Published
2024
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5. Neuromuscular and cardiac adverse events associated with immune checkpoint inhibitors: pooled analysis of individual cases from multiple institutions and literature

Author

Boutros, A., Bottini, A., Rossi, G., Tanda, E.T., Spagnolo, F., Barletta, G., Croce, E., Fava, P., Parisi, A., De Rosa, F., Palla, M., Marconcini, R., Ferrari, M., Grandis, M., Spallarossa, P., Sarocchi, M., Arboscello, E., Del Mastro, L., Lambertini, M., Pronzato, P., and Genova, C.

Published
2023
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7. Evaluation of COVID-19 impact on DELAYing diagnostic-therapeutic pathways of lung cancer patients in Italy (COVID-DELAY study): fewer cases and higher stages from a real-world scenario

Author

Cantini, L., Mentrasti, G., Russo, G.L., Signorelli, D., Pasello, G., Rijavec, E., Russano, M., Antonuzzo, L., Rocco, D., Giusti, R., Adamo, V., Genova, C., Tuzi, A., Morabito, A., Gori, S., Verde, N. La, Chiari, R., Cortellini, A., Cognigni, V., Pecci, F., Indini, A., De Toma, A., Zattarin, E., Oresti, S., Pizzutilo, E.G., Frega, S., Erbetta, E., Galletti, A., Citarella, F., Fancelli, S., Caliman, E., Della Gravara, L., Malapelle, U., Filetti, M., Piras, M., Toscano, G., Zullo, L., De Tursi, M., Di Marino, P., D’Emilio, V., Cona, M.S., Guida, A., Caglio, A., Salerno, F., Spinelli, G., Bennati, C., Morgillo, F., Russo, A., Dellepiane, C., Vallini, I., Sforza, V., Inno, A., Rastelli, F., Tassi, V., Nicolardi, L., Pensieri, V., Emili, R., Roca, E., Migliore, A., Galassi, T., Rocchi, M. L. Bruno, and Berardi, R.

Published
2022
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8. The lung immuno-oncology prognostic score (LIPS-3): a prognostic classification of patients receiving first-line pembrolizumab for PD-L1 ≥ 50% advanced non-small-cell lung cancer

Author

Banna, G.L., Cortellini, A., Cortinovis, D.L., Tiseo, M., Aerts, J.G.J.V., Barbieri, F., Giusti, R., Bria, E., Grossi, F., Pizzutilo, P., Berardi, R., Morabito, A., Genova, C., Mazzoni, F., Di Noia, V., Signorelli, D., Gelibter, A., Macerelli, M., Rastelli, F., Chiari, R., Rocco, D., Gori, S., De Tursi, M., Di Marino, P., Mansueto, G., Zoratto, F., Filetti, M., Montrone, M., Citarella, F., Marco, R., Cantini, L., Nigro, O., D'Argento, E., Buti, S., Minuti, G., Landi, L., Guaitoli, G., Lo Russo, G., De Toma, A., Donisi, C., Friedlaender, A., De Giglio, A., Metro, G., Porzio, G., Ficorella, C., and Addeo, A.

Published
2021
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9. Sotorasib in KRASp.G12C mutated advanced NSCLC: Real-world data from the Italian expanded access program

Author

Passiglia, F, Lucia Reale, M, Lo Russo, G, Pasello, G, Minuti, G, Bulotta, A, Galetta, D, Pelizzari, G, Sini, C, Bria, E, Roca, E, Pilotto, S, Genova, C, Metro, G, Citarella, F, Chiari, R, Cortinovis, D, Delmonte, A, Russo, A, Tiseo, M, Cerea, G, Carta, A, Scotti, V, Vavalà, T, Brambilla, M, Buffoni, L, Buosi, R, Catania, C, Gori, S, Grisanti, S, Agustoni, F, Garbo, E, Malapelle, U, Novello, S, Passiglia, Francesco, Lucia Reale, Maria, Lo Russo, Giuseppe, Pasello, Giulia, Minuti, Gabriele, Bulotta, Alessandra, Galetta, Domenico, Pelizzari, Giacomo, Sini, Claudio, Bria, Emilio, Roca, Elisa, Pilotto, Sara, Genova, Carlo, Metro, Giulio, Citarella, Fabrizio, Chiari, Rita, Cortinovis, Diego, Delmonte, Angelo, Russo, Alessandro, Tiseo, Marcello, Cerea, Giulio, Carta, Annamaria, Scotti, Vieri, Vavalà, Tiziana, Brambilla, Marta, Buffoni, Lucio, Buosi, Roberta, Catania, Chiara, Gori, Stefania, Grisanti, Salvatore, Agustoni, Francesco, Garbo, Edoardo, Malapelle, Umberto, Novello, Silvia, Passiglia, F, Lucia Reale, M, Lo Russo, G, Pasello, G, Minuti, G, Bulotta, A, Galetta, D, Pelizzari, G, Sini, C, Bria, E, Roca, E, Pilotto, S, Genova, C, Metro, G, Citarella, F, Chiari, R, Cortinovis, D, Delmonte, A, Russo, A, Tiseo, M, Cerea, G, Carta, A, Scotti, V, Vavalà, T, Brambilla, M, Buffoni, L, Buosi, R, Catania, C, Gori, S, Grisanti, S, Agustoni, F, Garbo, E, Malapelle, U, Novello, S, Passiglia, Francesco, Lucia Reale, Maria, Lo Russo, Giuseppe, Pasello, Giulia, Minuti, Gabriele, Bulotta, Alessandra, Galetta, Domenico, Pelizzari, Giacomo, Sini, Claudio, Bria, Emilio, Roca, Elisa, Pilotto, Sara, Genova, Carlo, Metro, Giulio, Citarella, Fabrizio, Chiari, Rita, Cortinovis, Diego, Delmonte, Angelo, Russo, Alessandro, Tiseo, Marcello, Cerea, Giulio, Carta, Annamaria, Scotti, Vieri, Vavalà, Tiziana, Brambilla, Marta, Buffoni, Lucio, Buosi, Roberta, Catania, Chiara, Gori, Stefania, Grisanti, Salvatore, Agustoni, Francesco, Garbo, Edoardo, Malapelle, Umberto, and Novello, Silvia

Abstract

Background: Sotorasib showed a significant improvement of progression free survival (PFS), safety and quality of life over docetaxel in patients with KRASp.G12C-mutated advanced non-small-cell lung cancer (NSCLC) within the CodeBreak-200 study. Here we report real-world efficacy and tolerability data from NSCLC patients who received sotorasib within the Italian expanded access program (EAP). Methods: Sotorasib (960 mg, orally, once daily) was available on physician request for KRASp.G12C mutant advanced NSCLC patients. Clinical-pathological and molecular data were collected from the Italian ATLAS real-world registry. Patients underwent CT-scan and responses were evaluated by RECIST criteria. Efficacy and tolerability outcomes have been assessed. Results: A total of 196 advanced NSCLC patients were treated across 30 Italian centers. Median age was 69 years old (range 33-86). Most patients were male (61 %), former (49 %) or current smokers (43 %), with ECOG-PS 0/1 (84 %) and adenocarcinoma subtype (90 %). 45 % and 32 % of patients received sotorasib in 2nd and 3rd line, respectively. Overall, response rate was 26 % and the median duration of response was 5.7 months (95 % CI: 4.4-7.0). Median PFS and OS were 5.8 months (95 % CI: 5 - 6.5) and 8.2 months (95 % CI: 6.3 - 9.9). Grade 3-4 TRAEs occurred in 16.5 % of patients, with Grade >= 3 liver enzyme increase and TRAEs-related discontinuation reported in 12 % and 4.6 % of cases. Conclusion: Real-world data from the Italian EAP confirm the tolerability and effectiveness of sotorasib in patients with KRASp.G12C-mutated advanced NSCLC and highlight the value of the national ATLAS network as source of real-world evidence driving the clinical management of NSCLC patients.

Published
2024

10. Real-world outcomes of Italian patients with advanced non-squamous lung cancer treated with first-line pembrolizumab plus platinum-pemetrexed

Author

Leonetti, A, Perrone, F, Puntoni, M, Maglietta, G, Bordi, P, Bria, E, Vita, E, Gelsomino, F, De Giglio, A, Gelibter, A, Siringo, M, Mazzoni, F, Caliman, E, Genova, C, Bertolini, F, Guaitoli, G, Passiglia, F, Delcuratolo, M, Montrone, M, Cerea, G, Pasello, G, Roca, E, Belluomini, L, Cecere, F, Guida, A, Manzo, A, Adamo, V, Rastelli, F, Bulotta, A, Citarella, F, Toschi, L, Zoratto, F, Cortinovis, D, Berardi, R, Follador, A, Carta, A, Camerini, A, Salerno, F, Silva, R, Baldini, E, Cortellini, A, Brighenti, M, Santoni, M, Malorgio, F, Caminiti, C, Tiseo, M, Leonetti, Alessandro, Perrone, Fabiana, Puntoni, Matteo, Maglietta, Giuseppe, Bordi, Paola, Bria, Emilio, Vita, Emanuele, Gelsomino, Francesco, De Giglio, Andrea, Gelibter, Alain, Siringo, Marco, Mazzoni, Francesca, Caliman, Enrico, Genova, Carlo, Bertolini, Federica, Guaitoli, Giorgia, Passiglia, Francesco, Delcuratolo, Marco Donatello, Montrone, Michele, Cerea, Giulio, Pasello, Giulia, Roca, Elisa, Belluomini, Lorenzo, Cecere, Fabiana Letizia, Guida, Annalisa, Manzo, Anna, Adamo, Vincenzo, Rastelli, Francesca, Bulotta, Alessandra, Citarella, Fabrizio, Toschi, Luca, Zoratto, Federica, Cortinovis, Diego Luigi, Berardi, Rossana, Follador, Alessandro, Carta, Annamaria, Camerini, Andrea, Salerno, Flavio, Silva, Rosa Rita, Baldini, Editta, Cortellini, Alessio, Brighenti, Matteo, Santoni, Matteo, Malorgio, Francesco, Caminiti, Caterina, Tiseo, Marcello, Leonetti, A, Perrone, F, Puntoni, M, Maglietta, G, Bordi, P, Bria, E, Vita, E, Gelsomino, F, De Giglio, A, Gelibter, A, Siringo, M, Mazzoni, F, Caliman, E, Genova, C, Bertolini, F, Guaitoli, G, Passiglia, F, Delcuratolo, M, Montrone, M, Cerea, G, Pasello, G, Roca, E, Belluomini, L, Cecere, F, Guida, A, Manzo, A, Adamo, V, Rastelli, F, Bulotta, A, Citarella, F, Toschi, L, Zoratto, F, Cortinovis, D, Berardi, R, Follador, A, Carta, A, Camerini, A, Salerno, F, Silva, R, Baldini, E, Cortellini, A, Brighenti, M, Santoni, M, Malorgio, F, Caminiti, C, Tiseo, M, Leonetti, Alessandro, Perrone, Fabiana, Puntoni, Matteo, Maglietta, Giuseppe, Bordi, Paola, Bria, Emilio, Vita, Emanuele, Gelsomino, Francesco, De Giglio, Andrea, Gelibter, Alain, Siringo, Marco, Mazzoni, Francesca, Caliman, Enrico, Genova, Carlo, Bertolini, Federica, Guaitoli, Giorgia, Passiglia, Francesco, Delcuratolo, Marco Donatello, Montrone, Michele, Cerea, Giulio, Pasello, Giulia, Roca, Elisa, Belluomini, Lorenzo, Cecere, Fabiana Letizia, Guida, Annalisa, Manzo, Anna, Adamo, Vincenzo, Rastelli, Francesca, Bulotta, Alessandra, Citarella, Fabrizio, Toschi, Luca, Zoratto, Federica, Cortinovis, Diego Luigi, Berardi, Rossana, Follador, Alessandro, Carta, Annamaria, Camerini, Andrea, Salerno, Flavio, Silva, Rosa Rita, Baldini, Editta, Cortellini, Alessio, Brighenti, Matteo, Santoni, Matteo, Malorgio, Francesco, Caminiti, Caterina, and Tiseo, Marcello

Abstract

Purpose: The aim of this multi-center, retrospective/prospective cohort observational study was to evaluate outcomes in routine clinical practice of first-line chemo-immunotherapy with cis/carboplatin, pemetrexed and pembrolizumab in patients with advanced non-squamous non-small cell lung cancer (NSCLC) in 33 Italian centers. Methods: The outcome measure was to evaluate overall survival (OS) in a real-world patient population. Secondary endpoints were: progression-free survival (PFS), objective response rate (ORR), duration of response (DoR) and incidence of treatment-related adverse events (AEs). Results: 1068 patients were enrolled at the time of data cut-off (January 31st, 2023), and 812 (76.0%) belonged to the retrospective cohort. Median age was 66 years (27−85), ECOG PS was ≥ 2 in 91 (8.6%) patients; 254 (23.8%) patients had brain metastases at baseline; 38 (3.6%) patients had tumor with PD-L1 expression ≥ 50%. After a median follow-up of 17.0 months (95% CI, 16.1–17.9), median OS was 16.1 months (95% CI, 14.4–18.8) and PFS was 9.9 months (95% CI, 8.8–11.2). Median DoR (n = 493) was 14.7 months (95% CI, 13.6–17.1). ORR was 43.4% (95% CI, 40.4–46.4). Any-grade AEs occurred in 636 (59.6%) patients and grade ≥ 3 in 253 (23.7%) patients. Most common grade ≥ 3 AEs were neutropenia (6.3%) and anemia (6.3%). Conclusions: First-line chemo-immunotherapy was effective and tolerable in this large, real-world Italian study of patients with advanced non-squamous NSCLC. Our results were in line with the KEYNOTE-189 registration study, also considering the low number of PD-L1 ≥ 50% patients included in our study.

Published
2024

11. The biomarkers ATLAS: An audit on 1100 non-small cell lung cancer from an Italian knowledge-based database

Author

Malapelle, U, Passiglia, F, Pepe, F, Pisapia, P, Lucia Reale, M, Cortinovis, D, Fraggetta, F, Galetta, D, Garbo, E, Graziano, P, Pagni, F, Pasello, G, Piovano, P, Pilotto, S, Tiseo, M, Genova, C, Righi, L, Troncone, G, Novello, S, Malapelle, Umberto, Passiglia, Francesco, Pepe, Francesco, Pisapia, Pasquale, Lucia Reale, Maria, Cortinovis, Diego, Fraggetta, Filippo, Galetta, Domenico, Garbo, Edoardo, Graziano, Paolo, Pagni, Fabio, Pasello, Giulia, Piovano, Pierluigi, Pilotto, Sara, Tiseo, Marcello, Genova, Carlo, Righi, Luisella, Troncone, Giancarlo, Novello, Silvia, Malapelle, U, Passiglia, F, Pepe, F, Pisapia, P, Lucia Reale, M, Cortinovis, D, Fraggetta, F, Galetta, D, Garbo, E, Graziano, P, Pagni, F, Pasello, G, Piovano, P, Pilotto, S, Tiseo, M, Genova, C, Righi, L, Troncone, G, Novello, S, Malapelle, Umberto, Passiglia, Francesco, Pepe, Francesco, Pisapia, Pasquale, Lucia Reale, Maria, Cortinovis, Diego, Fraggetta, Filippo, Galetta, Domenico, Garbo, Edoardo, Graziano, Paolo, Pagni, Fabio, Pasello, Giulia, Piovano, Pierluigi, Pilotto, Sara, Tiseo, Marcello, Genova, Carlo, Righi, Luisella, Troncone, Giancarlo, and Novello, Silvia

Abstract

Aims: To date, precision medicine has revolutionized the clinical management of Non-Small Cell Lung Cancer (NSCLC). International societies approved a rapidly improved mandatory testing biomarkers panel for the clinical stratification of NSCLC patients, but harmonized procedures are required to optimize the diagnostic workflow. In this context a knowledge-based database (Biomarkers ATLAS, https://biomarkersatlas.com/) was developed by a supervising group of expert pathologists and thoracic oncologists collecting updated clinical and molecular records from about 80 referral Italian institutions. Here, we audit molecular and clinical data from n = 1100 NSCLC patients collected from January 2019 to December 2020. Methods: Clinical and molecular records from NSCLC patients were retrospectively collected from the two coordinating institutions (University of Turin and University of Naples). Molecular biomarkers (KRAS, EGFR, BRAF, ROS1, ALK, RET, NTRK, MET) and clinical data (sex, age, histological type, smoker status, PD-L1 expression, therapy) were collected and harmonized. Results: Clinical and molecular data from 1100 (n = 552 mutated and n = 548 wild-type) NSCLC patients were systematized and annotated in the ATLAS knowledge-database. Molecular records from biomarkers testing were matched with main patients’ clinical variables. Conclusions: Biomarkers ATLAS (https://biomarkersatlas.com/) represents a unique, easily managing, and reliable diagnostic tool aiming to integrate clinical records with molecular alterations of NSCLC patients in the real-word Italian scenario.

Published
2024

13. MA18.09 Carboplatin, Etoposide, Bevacizumab, and Atezolizumab in Patients with Extensive-Stage SCLC - GOIRC-01-2019 CeLEBrATE Trial

Author

Lamberti, G., primary, Rihawi, K., additional, Riccardi, F., additional, Mazzoni, F., additional, Follador, A., additional, Bonetti, A., additional, Giardina, D., additional, Genova, C., additional, Bertolini, F., additional, Frassoldati, A., additional, Brighenti, M., additional, Colantonio, I., additional, Pasello, G., additional, Ficorella, C., additional, Cinieri, S., additional, Tiseo, M., additional, Fancelli, S., additional, Andrini, E., additional, Targato, G., additional, Tognetto, M., additional, Boni, L., additional, and Ardizzoni, A., additional

Published
2023
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14. EP11.01-01 Final Analysis of First-Line Chemo-Immunotherapy in Patients with Advanced Lung Adenocarcinoma: An Italian Real-World Study

Author

Leonetti, A., primary, Perrone, F., additional, Puntoni, M., additional, Bordi, P., additional, Maglietta, G., additional, Bria, E., additional, Gelsomino, F., additional, Gelibter, A., additional, Caliman, E., additional, Genova, C., additional, Guaitoli, G., additional, Passiglia, F., additional, Montrone, M., additional, Oresti, S., additional, Pasello, G., additional, Roca, E., additional, Pilotto, S., additional, Cecere, F.L., additional, Guida, A., additional, Manzo, A., additional, Russo, A., additional, Rastelli, F., additional, Bulotta, A., additional, Citarella, F., additional, Toschi, L., additional, Zoratto, F., additional, Cortinovis, D.L., additional, Paoloni, F., additional, Follador, A., additional, Carta, A., additional, Camerini, A., additional, Di Maio, M., additional, and Tiseo, M., additional

Published
2023
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15. Host immune-inflammatory markers to unravel the heterogeneous outcome and assessment of patients with PD-L1 ≥50% metastatic non-small cell lung cancer and poor performance status receiving first-line immunotherapy

Author

Banna, G, Tiseo, M, Cortinovis, D, Facchinetti, F, Aerts, J, Baldessari, C, Giusti, R, Bria, E, Grossi, F, Berardi, R, Morabito, A, Catino, A, Genova, C, Mazzoni, F, Gelibter, A, Rastelli, F, Macerelli, M, Chiari, R, Gori, S, Mansueto, G, Citarella, F, Cantini, L, Rijavec, E, Bertolini, F, Cappuzzo, F, De Toma, A, Friedlaender, A, Metro, G, Pensieri, M, Porzio, G, Ficorella, C, Pinato, D, Cortellini, A, Addeo, A, Banna GL, Tiseo M, Cortinovis D, Facchinetti F, Aerts JGJV, Baldessari C, Giusti R, Bria E, Grossi F, Berardi R, Morabito A, Catino A, Genova C, Mazzoni F, Gelibter A, Rastelli F, Macerelli M, Chiari R, Gori S, Mansueto G, Citarella F, Cantini L, Rijavec E, Bertolini F, Cappuzzo F, De Toma A, Friedlaender A, Metro G, Pensieri MV, Porzio G, Ficorella C, Pinato DJ, Cortellini A, Addeo A, Banna, G, Tiseo, M, Cortinovis, D, Facchinetti, F, Aerts, J, Baldessari, C, Giusti, R, Bria, E, Grossi, F, Berardi, R, Morabito, A, Catino, A, Genova, C, Mazzoni, F, Gelibter, A, Rastelli, F, Macerelli, M, Chiari, R, Gori, S, Mansueto, G, Citarella, F, Cantini, L, Rijavec, E, Bertolini, F, Cappuzzo, F, De Toma, A, Friedlaender, A, Metro, G, Pensieri, M, Porzio, G, Ficorella, C, Pinato, D, Cortellini, A, Addeo, A, Banna GL, Tiseo M, Cortinovis D, Facchinetti F, Aerts JGJV, Baldessari C, Giusti R, Bria E, Grossi F, Berardi R, Morabito A, Catino A, Genova C, Mazzoni F, Gelibter A, Rastelli F, Macerelli M, Chiari R, Gori S, Mansueto G, Citarella F, Cantini L, Rijavec E, Bertolini F, Cappuzzo F, De Toma A, Friedlaender A, Metro G, Pensieri MV, Porzio G, Ficorella C, Pinato DJ, Cortellini A, and Addeo A

Abstract

Background: Patients with programmed cell death-ligand 1 (PD-L1) ≥50% metastatic non-small cell lung cancer (mNSCLC) and ECOG performance status (PS) of 2 treated with first-line immunotherapy have heterogeneous clinical assessment and outcomes. Methods: To explore the role of immune-inflammatory surrogates by the validated lung immuno-oncology prognostic score (LIPS) score, including the neutrophil-to-lymphocyte ratio (NLR) and the pretreatment use of steroids, alongside other prognostic variables. A retrospective analysis of 128 patients with PS2 and PD-L1 ≥50% mNSCLC treated between April 2018 and September 2019 with first-line pembrolizumab in a real-world setting was performed. Results: With a median follow-up of 15.3 months, the 1-year overall survival (OS) and median progression-free survival (PFS) were 32.3% (95% CI: 30.9–33.9) and 3.3 months (95% CI: 1.8–4.7), respectively. The NLR, lactate dehydrogenase (LDH) and pretreatment steroids results were the only significant prognostic factors on the univariate analysis and independent prognostic factors by the multivariate analysis on both OS and PFS. The LIPS score, including the NLR and pretreatment steroids, identified 29 (23%) favourable-risk patients, with 0 factors, 1-year OS of 67.6% and median PFS of 8.2 months; 57 (45%) intermediate-risk patients, with 1 factor, 1-year OS 32.1% and median PFS 2.7 months; 42 (33%) poor-risk patients, with both factors, 1-year OS of 10.7% and median PFS of 1.2 months. Conclusions: The assessment of pre-existing imbalance of the host immune response by combined blood and clinical immune-inflammatory markers may represent a way to unravel the heterogeneous outcome and assessment of patients with mNSCLC and poor PS in the immune-oncology setting.

Published
2022

16. 66P Outcome predictors for pembrolizumab alone or with chemotherapy in advanced non-small cell lung cancer (NSCLC)

Author

Zullo, L., primary, Cella, E., additional, Paoloni, F., additional, Gualtieri, M., additional, Barletta, G., additional, Favero, D., additional, Parisi, F., additional, Dellepiane, C., additional, Rossi, G., additional, Bennicelli, E., additional, Zinoli, L., additional, Cantini, L., additional, Pecci, F., additional, Del Mastro, L., additional, Berardi, R., additional, and Genova, C., additional

Published
2023
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20. EP08.01-088 Direct Acting Antivirals (DAA) and Immune Checkpoint Inhibitors (ICIs) Therapy in Patients with Lung Cancer and Hepatitis C

Author

Tagliamento, M., primary, Cella, E., additional, Sacco, G., additional, Rossi, G., additional, Limongelli, A., additional, Dellepiane, C., additional, Brucci, G., additional, Zullo, L., additional, Parisi, F., additional, Baldi, F., additional, Bennicelli, E., additional, Barletta, G., additional, Coco, S., additional, Marconi, S., additional, Alama, A., additional, Bozzano, F., additional, Bello, M.G. Dal, additional, Perrone, C., additional, De Maria, A., additional, and Genova, C., additional

Published
2022
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21. EP08.01-007 Real-World Outcomes of Patients with Advanced Lung Adenocarcinoma Treated with First-Line Chemo-Immunotherapy in Italy

Author

F. Perrone, A. Leonetti, primary, Puntoni, M., additional, Bordi, P., additional, Maglietta, G., additional, Carpana, C., additional, Gelsomino, F., additional, Passiglia, F., additional, Genova, C., additional, Montrone, M., additional, Caliman, E., additional, Cerea, G., additional, Pasello, G., additional, Cecere, F., additional, Manzo, A., additional, Adamo, V., additional, Citarella, F., additional, Toschi, L., additional, Gelibter, A., additional, Rastelli, F., additional, Carta, A., additional, Guida, A., additional, Camerini, A., additional, Paoloni, F., additional, Bertolini, F., additional, and Tiseo, M., additional

Published
2022
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22. EP16.03-040 Biomarkersatlas.com: the Italian NSCLC Precision Medicine Knowledge Data Base

Author

Malapelle, U., primary, Pepe, F., additional, Pisapia, P., additional, Righi, L., additional, Listì, A., additional, Reale, M.L., additional, Passiglia, F., additional, Tiseo, M., additional, Genova, C., additional, Galetta, D., additional, Cortinovis, D., additional, Pilotto, S., additional, Migliorino, M.R., additional, Parra, H. Soto, additional, Cappuzzo, F., additional, Novello, S., additional, and Troncone, G., additional

Published
2022
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23. EP14.01-006 CeLEBrATE: Phase II trial of CarbopLatin, Etoposide, Bevacizumab and Atezolizumab in Patients with exTEnsive-Stage SCLC-GOIRC-01-2019

Author

Andrini, E., primary, Lamberti, G., additional, Mazzoni, F., additional, Riccardi, F., additional, Bonetti, A., additional, Follador, A., additional, Giardina, D., additional, Genova, C., additional, Guaitoli, G., additional, Frassoldati, A., additional, Brighenti, M., additional, Colantonio, I., additional, Pasello, G., additional, Ficorella, C., additional, Cinieri, S., additional, Tiseo, M., additional, Gelsomino, F., additional, Tognetto, M., additional, Rihawi, K., additional, and Ardizzoni, A., additional

Published
2022
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25. 1099P Front-line liquid biopsy for early molecular assessment and treatment of hospitalized lung cancer patients

Author

Parisi, F., primary, De Luca, G., additional, Rossi, G., additional, Coco, S., additional, Dellepiane, C., additional, Bennicelli, E., additional, Zinoli, L., additional, Zullo, L., additional, Alama, A., additional, Mosconi, M., additional, Mora, M., additional, Ballestrero, A., additional, Montecucco, F., additional, Marconi, S., additional, Pronzato, P., additional, Del Mastro, L., additional, Nozza, P., additional, Bellodi, A., additional, Dono, M., additional, and Genova, C., additional

Published
2022
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26. EP08.02-046 Activity of OsimeRTInib in NSCLC with Uncommon EGFR Mutations: Retrospective Observational Multicenter Study (ARTICUNO)

Author

Pizzutilo, E.G., primary, Agostara, A.G., additional, Oresti, S., additional, Signorelli, D., additional, Giannetta, L.G., additional, Stabile, S., additional, Lauricella, C., additional, Amatu, A., additional, Brambilla, M., additional, Lo Russo, G., additional, Proto, C., additional, Mazzeo, L., additional, Beninato, T., additional, Siringo, M., additional, Giusti, R., additional, Filetti, M., additional, Genova, C., additional, Barletta, G., additional, Russano, M., additional, Di Fazio, G.R., additional, Tosoni, E., additional, Metro, G., additional, Pilotto, S., additional, Carta, A., additional, Mazzoni, F., additional, Roca, E., additional, Gelibter, A.J., additional, Gori, S., additional, Berardi, R., additional, Cerea, G., additional, Sartore-Bianchi, A., additional, and Siena, S., additional

Published
2022
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28. EP02.04-001 Alectinib as Neoadjuvant Treatment in Surgically Resectable Stage III ALK-Positive NSCLC: ALNEO Phase II Trial (GOIRC-01-2020)

Author

Leonetti, A., primary, Minari, R., additional, Boni, L., additional, Gnetti, L., additional, Bordi, P., additional, Verzè, M., additional, Ampollini, L., additional, Gelsomino, F., additional, Toschi, L., additional, Cecere, F., additional, Pilotto, S., additional, Metro, G., additional, Passiglia, F., additional, Cortinovis, D., additional, Guaitoli, G., additional, Pasello, G., additional, Delmonte, A., additional, Mazzoni, F., additional, Bria, E., additional, Galetta, D., additional, Genova, C., additional, Rocco, D., additional, Soto Parra, H., additional, Bearz, A., additional, Migliorino, M.R., additional, Camerini, A., additional, Tognetto, M., additional, and Tiseo, M., additional

Published
2022
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29. LBA51 Circulating tumor DNA (ctDNA) dynamics and treatment responses in chemotherapy-ineligible patients (pts) with unresectable stage III NSCLC from the phase II DUART trial

Author

Filippi, A.R., Garcia-Campelo, M.R., Paoli, J-B., Kowalski, D.M., Bennati, C., Borghetti, P., Cortinovis, D.L., Delmonte, A., Genova, C., Mroz, R.M., Nawrocki, S., Toledano, I., Tonini, G., Stewart, R., Zhu, Z., Wetherill, G., Georgoulia, N.E., Diaz Perez, I., and Dziadziuszko, R.

Published
2024
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31. Erratum to ‘Evaluation of COVID-19 impact on DELAYing diagnostic-therapeutic pathways of lung cancer patients in Italy (COVID-DELAY study): fewer cases and higher stages from a real-world scenario’: [ESMO Open Volume 7, Issue 2, April 2022, 100406](S2059702922000278)(10.1016/j.esmoop.2022.100406)

Author

Cantini L., Mentrasti G., Lo Russo G., Signorelli D., Pasello G., Rijavec E., Russano M., Antonuzzo L., Rocco D., Giusti R., Adamo V., Genova C., Tuzi A., Morabito A., Gori S., La Verde N., Chiari R., Cortellini A., Cognigni V., Pecci F., Indini A., De Toma A., Zattarin E., Oresti S., Pizzutilo E. G., Frega S., Erbetta E., Galletti A., Citarella F., Fancelli S., Caliman E., Della Gravara L., Malapelle U., Filetti M., Piras M., Toscano G., Zullo L., De Tursi M., Di Marino P., D'Emilio V., Cona M. S., Guida A., Caglio A., Salerno F., Spinelli G. P., Bennati C., Morgillo F., Russo A., Dellepiane C., Vallini I., Sforza V., Inno A., Rastelli F., Tassi V., Nicolardi L., Pensieri M. V., Emili R., Roca E., Migliore A., Galassi T., Rocchi M. B. L., Berardi R., Cantini, L., Mentrasti, G., Lo Russo, G., Signorelli, D., Pasello, G., Rijavec, E., Russano, M., Antonuzzo, L., Rocco, D., Giusti, R., Adamo, V., Genova, C., Tuzi, A., Morabito, A., Gori, S., La Verde, N., Chiari, R., Cortellini, A., Cognigni, V., Pecci, F., Indini, A., De Toma, A., Zattarin, E., Oresti, S., Pizzutilo, E. G., Frega, S., Erbetta, E., Galletti, A., Citarella, F., Fancelli, S., Caliman, E., Della Gravara, L., Malapelle, U., Filetti, M., Piras, M., Toscano, G., Zullo, L., De Tursi, M., Di Marino, P., D'Emilio, V., Cona, M. S., Guida, A., Caglio, A., Salerno, F., Spinelli, G. P., Bennati, C., Morgillo, F., Russo, A., Dellepiane, C., Vallini, I., Sforza, V., Inno, A., Rastelli, F., Tassi, V., Nicolardi, L., Pensieri, M. V., Emili, R., Roca, E., Migliore, A., Galassi, T., Rocchi, M. B. L., and Berardi, R.

Abstract

The publisher regrets that at the time the article was published the name of the author N. La Verde was mistakenly abbreviated as N.L. Verde. This has now been corrected. The publisher would like to apologise for any inconvenience caused.

Published
2022

32. Metabolic parameters as biomarkers of response to immunotherapy and prognosis in non-small cell lung cancer (Nsclc): A real world experience

Author

Monaco, L, Gemelli, M, Gotuzzo, I, Bauckneht, M, Crivellaro, C, Genova, C, Cortinovis, D, Zullo, L, Ammoni, L, Bernasconi, D, Rossi, G, Morbelli, S, Guerra, L, Monaco L., Gemelli M., Gotuzzo I., Bauckneht M., Crivellaro C., Genova C., Cortinovis D., Zullo L., Ammoni L. C., Bernasconi D. P., Rossi G., Morbelli S., Guerra L., Monaco, L, Gemelli, M, Gotuzzo, I, Bauckneht, M, Crivellaro, C, Genova, C, Cortinovis, D, Zullo, L, Ammoni, L, Bernasconi, D, Rossi, G, Morbelli, S, Guerra, L, Monaco L., Gemelli M., Gotuzzo I., Bauckneht M., Crivellaro C., Genova C., Cortinovis D., Zullo L., Ammoni L. C., Bernasconi D. P., Rossi G., Morbelli S., and Guerra L.

Abstract

Immune-checkpoint inhibitors (ICIs) have been proven to have great efficacy in non-small cell lung cancer (NSCLC) as single agents or in combination therapy, being capable to induce deep and durable remission. However, severe adverse events may occur and about 40% of patients do not benefit from the treatment. Predictive factors of response to ICIs are needed in order to customize treatment. The aim of this study is to evaluate the correlation between quantitative positron emission tomography (PET) parameters defined before starting ICI therapy and responses to treatment and patient outcome. We retrospectively analyzed 92 NSCLC patients treated with nivolumab, pem-brolizumab or atezolizumab. Basal PET/computed tomography (CT) scan parameters (whole-body metabolic tumor volume—wMTV, total lesion glycolysis—wTLG, higher standardized uptake volume maximum and mean—SUVmax and SUVmean) were calculated for each patient and correlated with outcomes. Patients who achieved disease control (complete response + partial response + stable disease) had significantly lower MTV median values than patients who had not (progressive disease) (77 vs. 160.2, p = 0.039). Furthermore, patients with MTV and TLG values lower than the median values had improved OS compared to patients with higher MTV and TLG (p = 0.03 and 0.05, respec-tively). No relation was found between the other parameters and outcome. In conclusion, baseline metabolic tumor burden, measured with MTV, might be an independent predictor of treatment response to ICI and a prognostic biomarker in NSCLC patients.

Published
2021

33. Predictive ability of a drug-based score in patients with advanced non-small-cell lung cancer receiving first-line immunotherapy

Author

Buti, S, Bersanelli, M, Perrone, F, Bracarda, S, Di Maio, M, Giusti, R, Nigro, O, Cortinovis, D, Aerts, J, Guaitoli, G, Barbieri, F, Ferrara, M, Bria, E, Grossi, F, Bareggi, C, Berardi, R, Torniai, M, Cantini, L, Sforza, V, Genova, C, Chiari, R, Rocco, D, Della Gravara, L, Gori, S, De Tursi, M, Di Marino, P, Mansueto, G, Zoratto, F, Filetti, M, Citarella, F, Russano, M, Mazzoni, F, Garassino, M, De Toma, A, Signorelli, D, Gelibter, A, Siringo, M, Follador, A, Bisonni, R, Tuzi, A, Minuti, G, Landi, L, Ricciardi, S, Migliorino, M, Tabbò, F, Olmetto, E, Metro, G, Adamo, V, Russo, A, Spinelli, G, Banna, G, Addeo, A, Friedlaender, A, Cannita, K, Porzio, G, Ficorella, C, Carmisciano, L, Pinato, D, Mazzaschi, G, Tiseo, M, Cortellini, A, Buti S, Bersanelli M, Perrone F, Bracarda S, Di Maio M, Giusti R, Nigro O, Cortinovis D, Aerts JGJV, Guaitoli G, Barbieri F, Ferrara MG, Bria E, Grossi F, Bareggi C, Berardi R, Torniai M, Cantini L, Sforza V, Genova C, Chiari R, Rocco D, Della Gravara L, Gori S, De Tursi M, Di Marino P, Mansueto G, Zoratto F, Filetti M, Citarella F, Russano M, Mazzoni F, Garassino MC, De Toma A, Signorelli D, Gelibter A, Siringo M, Follador A, Bisonni R, Tuzi A, Minuti G, Landi L, Ricciardi S, Migliorino MR, Tabbò F, Olmetto E, Metro G, Adamo V, Russo A, Spinelli GP, Banna GL, Addeo A, Friedlaender A, Cannita K, Porzio G, Ficorella C, Carmisciano L, Pinato DJ, Mazzaschi G, Tiseo M, Cortellini A, Buti, S, Bersanelli, M, Perrone, F, Bracarda, S, Di Maio, M, Giusti, R, Nigro, O, Cortinovis, D, Aerts, J, Guaitoli, G, Barbieri, F, Ferrara, M, Bria, E, Grossi, F, Bareggi, C, Berardi, R, Torniai, M, Cantini, L, Sforza, V, Genova, C, Chiari, R, Rocco, D, Della Gravara, L, Gori, S, De Tursi, M, Di Marino, P, Mansueto, G, Zoratto, F, Filetti, M, Citarella, F, Russano, M, Mazzoni, F, Garassino, M, De Toma, A, Signorelli, D, Gelibter, A, Siringo, M, Follador, A, Bisonni, R, Tuzi, A, Minuti, G, Landi, L, Ricciardi, S, Migliorino, M, Tabbò, F, Olmetto, E, Metro, G, Adamo, V, Russo, A, Spinelli, G, Banna, G, Addeo, A, Friedlaender, A, Cannita, K, Porzio, G, Ficorella, C, Carmisciano, L, Pinato, D, Mazzaschi, G, Tiseo, M, Cortellini, A, Buti S, Bersanelli M, Perrone F, Bracarda S, Di Maio M, Giusti R, Nigro O, Cortinovis D, Aerts JGJV, Guaitoli G, Barbieri F, Ferrara MG, Bria E, Grossi F, Bareggi C, Berardi R, Torniai M, Cantini L, Sforza V, Genova C, Chiari R, Rocco D, Della Gravara L, Gori S, De Tursi M, Di Marino P, Mansueto G, Zoratto F, Filetti M, Citarella F, Russano M, Mazzoni F, Garassino MC, De Toma A, Signorelli D, Gelibter A, Siringo M, Follador A, Bisonni R, Tuzi A, Minuti G, Landi L, Ricciardi S, Migliorino MR, Tabbò F, Olmetto E, Metro G, Adamo V, Russo A, Spinelli GP, Banna GL, Addeo A, Friedlaender A, Cannita K, Porzio G, Ficorella C, Carmisciano L, Pinato DJ, Mazzaschi G, Tiseo M, and Cortellini A

Abstract

Background: We previously demonstrated the cumulative poor prognostic role of concomitant medications on the clinical outcome of patients with advanced cancer treated with immune checkpoint inhibitors, creating and validating a drug-based prognostic score to be calculated before immunotherapy initiation in patients with advanced solid tumours. This ‘drug score’ was calculated assigning score 1 for each between proton-pump inhibitor and antibiotic administration until a month before cancer therapy initiation and score 2 in case of corticosteroid intake. The good risk group included patients with score 0, intermediate risk with score 1–2 and poor risk with score 3–4. Methods: Aiming at validating the prognostic and putative predictive ability depending on the anticancer therapy, we performed the present comparative analysis in two cohorts of advanced non–small-cell lung cancer (NSCLC), respectively, receiving first-line pembrolizumab or chemotherapy through a random case-control matching and through a pooled multivariable analysis including the interaction between the computed score and the therapeutic modality (pembrolizumab vs chemotherapy). Results: Nine hundred fifty and 595 patients were included in the pembrolizumab and chemotherapy cohorts, respectively. After the case-control random matching, 589 patients from the pembrolizumab cohort and 589 from the chemotherapy cohort were paired, with no statistically significant differences between the characteristics of the matched subjects. Among the pembrolizumab-treated group, good, intermediate and poor risk evaluable patients achieved an objective response rate (ORR) of 50.0%, 37.7% and 23.4%, respectively, (p < 0.0001), whereas among the chemotherapy-treated group, patients achieved an ORR of 37.0%, 40.0% and 32.4%, respectively (p = 0.4346). The median progression-free survival (PFS) of good, intermediate and poor risk groups was 13.9 months, 6.3 months and 2.8 months, respectively, within the pembrolizumab coh

Published
2021

34. Differential influence of antibiotic therapy and other medications on oncological outcomes of patients with non-small cell lung cancer treated with first-line pembrolizumab versus cytotoxic chemotherapy

Author

Cortellini, A, Di Maio, M, Nigro, O, Leonetti, A, Cortinovis, D, Aerts, J, Guaitoli, G, Barbieri, F, Giusti, R, Ferrara, M, Bria, E, D'Argento, E, Grossi, F, Rijavec, E, Guida, A, Berardi, R, Torniai, M, Sforza, V, Genova, C, Mazzoni, F, Garassino, M, De Toma, A, Signorelli, D, Gelibter, A, Siringo, M, Marchetti, P, Macerelli, M, Rastelli, F, Chiari, R, Rocco, D, Della Gravara, L, Inno, A, Michele, T, Grassadonia, A, Di Marino, P, Mansueto, G, Zoratto, F, Filetti, M, Santini, D, Citarella, F, Russano, M, Cantini, L, Tuzi, A, Bordi, P, Minuti, G, Landi, L, Ricciardi, S, Migliorino, M, Passiglia, F, Bironzo, P, Metro, G, Adamo, V, Russo, A, Spinelli, G, Banna, G, Friedlaender, A, Addeo, A, Cannita, K, Ficorella, C, Porzio, G, Pinato, D, Cortellini A, Di Maio M, Nigro O, Leonetti A, Cortinovis D, Aerts JG, Guaitoli G, Barbieri F, Giusti R, Ferrara MG, Bria E, D'Argento E, Grossi F, Rijavec E, Guida A, Berardi R, Torniai M, Sforza V, Genova C, Mazzoni F, Garassino MC, De Toma A, Signorelli D, Gelibter A, Siringo M, Marchetti P, Macerelli M, Rastelli F, Chiari R, Rocco D, Della Gravara L, Inno A, Michele T, Grassadonia A, Di Marino P, Mansueto G, Zoratto F, Filetti M, Santini D, Citarella F, Russano M, Cantini L, Tuzi A, Bordi P, Minuti G, Landi L, Ricciardi S, Migliorino MR, Passiglia F, Bironzo P, Metro G, Adamo V, Russo A, Spinelli GP, Banna GL, Friedlaender A, Addeo A, Cannita K, Ficorella C, Porzio G, Pinato DJ, Cortellini, A, Di Maio, M, Nigro, O, Leonetti, A, Cortinovis, D, Aerts, J, Guaitoli, G, Barbieri, F, Giusti, R, Ferrara, M, Bria, E, D'Argento, E, Grossi, F, Rijavec, E, Guida, A, Berardi, R, Torniai, M, Sforza, V, Genova, C, Mazzoni, F, Garassino, M, De Toma, A, Signorelli, D, Gelibter, A, Siringo, M, Marchetti, P, Macerelli, M, Rastelli, F, Chiari, R, Rocco, D, Della Gravara, L, Inno, A, Michele, T, Grassadonia, A, Di Marino, P, Mansueto, G, Zoratto, F, Filetti, M, Santini, D, Citarella, F, Russano, M, Cantini, L, Tuzi, A, Bordi, P, Minuti, G, Landi, L, Ricciardi, S, Migliorino, M, Passiglia, F, Bironzo, P, Metro, G, Adamo, V, Russo, A, Spinelli, G, Banna, G, Friedlaender, A, Addeo, A, Cannita, K, Ficorella, C, Porzio, G, Pinato, D, Cortellini A, Di Maio M, Nigro O, Leonetti A, Cortinovis D, Aerts JG, Guaitoli G, Barbieri F, Giusti R, Ferrara MG, Bria E, D'Argento E, Grossi F, Rijavec E, Guida A, Berardi R, Torniai M, Sforza V, Genova C, Mazzoni F, Garassino MC, De Toma A, Signorelli D, Gelibter A, Siringo M, Marchetti P, Macerelli M, Rastelli F, Chiari R, Rocco D, Della Gravara L, Inno A, Michele T, Grassadonia A, Di Marino P, Mansueto G, Zoratto F, Filetti M, Santini D, Citarella F, Russano M, Cantini L, Tuzi A, Bordi P, Minuti G, Landi L, Ricciardi S, Migliorino MR, Passiglia F, Bironzo P, Metro G, Adamo V, Russo A, Spinelli GP, Banna GL, Friedlaender A, Addeo A, Cannita K, Ficorella C, Porzio G, and Pinato DJ

Abstract

Background Some concomitant medications including antibiotics (ATB) have been reproducibly associated with worse survival following immune checkpoint inhibitors (ICIs) in unselected patients with non-small cell lung cancer (NSCLC) (according to programmed death-ligand 1 (PD-L1) expression and treatment line). Whether such relationship is causative or associative is matter of debate. Methods We present the outcomes analysis according to concomitant baseline medications (prior to ICI initiation) with putative immune-modulatory effects in a large cohort of patients with metastatic NSCLC with a PD-L1 expression >= 50%, receiving first-line pembrolizumab monotherapy. We also evaluated a control cohort of patients with metastatic NSCLC treated with first-line chemotherapy. The interaction between key medications and therapeutic modality (pembrolizumab vs chemotherapy) was validated in pooled multivariable analyses. Results 950 and 595 patients were included in the pembrolizumab and chemotherapy cohorts, respectively. Corticosteroid and proton pump inhibitor (PPI) therapy but not ATB therapy was associated with poorer performance status at baseline in both the cohorts. No association with clinical outcomes was found according to baseline statin, aspirin, beta-blocker and metformin within the pembrolizumab cohort. On the multivariable analysis, ATB emerged as a strong predictor of worse overall survival (OS) (HR=1.42 (95% CI 1.13 to 1.79); p=0.0024), and progression free survival (PFS) (HR=1.29 (95% CI 1.04 to 1.59); p=0.0192) in the pembrolizumab but not in the chemotherapy cohort. Corticosteroids were associated with shorter PFS (HR=1.69 (95% CI 1.42 to 2.03); p<0.0001), and OS (HR=1.93 (95% CI 1.59 to 2.35); p<0.0001) following pembrolizumab, and shorter PFS (HR=1.30 (95% CI 1.08 to 1.56), p=0.0046) and OS (HR=1.58 (95% CI 1.29 to 1.94), p<0.0001), following chemotherapy. PPIs were associated with worse OS (HR=1.49 (95% CI 1.26 to 1.77); p<0.0001) with pem

Published
2021

35. The lung immuno-oncology prognostic score (LIPS-3): a prognostic classification of patients receiving first-line pembrolizumab for PD-L1 ≥ 50% advanced non-small-cell lung cancer

Author

Banna, G, Cortellini, A, Cortinovis, D, Tiseo, M, Aerts, J, Barbieri, F, Giusti, R, Bria, E, Grossi, F, Pizzutilo, P, Berardi, R, Morabito, A, Genova, C, Mazzoni, F, Di Noia, V, Signorelli, D, Gelibter, A, Macerelli, M, Rastelli, F, Chiari, R, Rocco, D, Gori, S, De Tursi, M, Di Marino, P, Mansueto, G, Zoratto, F, Filetti, M, Montrone, M, Citarella, F, Marco, R, Cantini, L, Nigro, O, D'Argento, E, Buti, S, Minuti, G, Landi, L, Guaitoli, G, Lo Russo, G, De Toma, A, Donisi, C, Friedlaender, A, De Giglio, A, Metro, G, Porzio, G, Ficorella, C, Addeo, A, Banna GL, Cortellini A, Cortinovis D, Tiseo M, Aerts JGJV, Barbieri F, Giusti R, Bria E, Grossi F, Pizzutilo P, Berardi R, Morabito A, Genova C, Mazzoni F, Di Noia V, Signorelli D, Gelibter A, Macerelli M, Rastelli F, Chiari R, Rocco D, Gori S, De Tursi M, Di Marino P, Mansueto G, Zoratto F, Filetti M, Montrone M, Citarella F, Marco R, Cantini L, Nigro O, D'Argento E, Buti S, Minuti G, Landi L, Guaitoli G, Lo Russo G, De Toma A, Donisi C, Friedlaender A, De Giglio A, Metro G, Porzio G, Ficorella C, Addeo A., Banna, G, Cortellini, A, Cortinovis, D, Tiseo, M, Aerts, J, Barbieri, F, Giusti, R, Bria, E, Grossi, F, Pizzutilo, P, Berardi, R, Morabito, A, Genova, C, Mazzoni, F, Di Noia, V, Signorelli, D, Gelibter, A, Macerelli, M, Rastelli, F, Chiari, R, Rocco, D, Gori, S, De Tursi, M, Di Marino, P, Mansueto, G, Zoratto, F, Filetti, M, Montrone, M, Citarella, F, Marco, R, Cantini, L, Nigro, O, D'Argento, E, Buti, S, Minuti, G, Landi, L, Guaitoli, G, Lo Russo, G, De Toma, A, Donisi, C, Friedlaender, A, De Giglio, A, Metro, G, Porzio, G, Ficorella, C, Addeo, A, Banna GL, Cortellini A, Cortinovis D, Tiseo M, Aerts JGJV, Barbieri F, Giusti R, Bria E, Grossi F, Pizzutilo P, Berardi R, Morabito A, Genova C, Mazzoni F, Di Noia V, Signorelli D, Gelibter A, Macerelli M, Rastelli F, Chiari R, Rocco D, Gori S, De Tursi M, Di Marino P, Mansueto G, Zoratto F, Filetti M, Montrone M, Citarella F, Marco R, Cantini L, Nigro O, D'Argento E, Buti S, Minuti G, Landi L, Guaitoli G, Lo Russo G, De Toma A, Donisi C, Friedlaender A, De Giglio A, Metro G, Porzio G, Ficorella C, and Addeo A.

Abstract

Background: To stratify the prognosis of patients with programmed cell death-ligand 1 (PD-L1) ≥ 50% advanced non-small-cell lung cancer (aNSCLC) treated with first-line immunotherapy. Methods: Baseline clinical prognostic factors, the neutrophil-to-lymphocyte ratio (NLR), PD-L1 tumour cell expression level, lactate dehydrogenase (LDH) and their combination were investigated by a retrospective analysis of 784 patients divided between statistically powered training (n = 201) and validation (n = 583) cohorts. Cut-offs were explored by receiver operating characteristic (ROC) curves and a risk model built with validated independent factors by multivariate analysis. Results: NLR < 4 was a significant prognostic factor in both cohorts (P < 0.001). It represented 53% of patients in the validation cohort, with 1-year overall survival (OS) of 76.6% versus 44.8% with NLR > 4, in the validation series. The addition of PD-L1 ≥ 80% (21% of patients) or LDH < 252 U/l (25%) to NLR < 4 did not result in better 1-year OS (of 72.6% and 74.1%, respectively, in the validation cohort). Eastern Cooperative Oncology Group (ECOG) performance status (PS) of 2 [P < 0.001, hazard ratio (HR) 2.04], pretreatment steroids (P < 0.001, HR 1.67) and NLR < 4 (P < 0.001, HR 2.29) resulted in independent prognostic factors. A risk model with these three factors, namely, the lung immuno-oncology prognostic score (LIPS)-3, accurately stratified three OS risk-validated categories of patients: favourable (0 risk factors, 40%, 1-year OS of 78.2% in the whole series), intermediate (1 or 2 risk factors, 54%, 1-year OS 53.8%) and poor (>2 risk factors, 5%, 1-year OS 10.7%) prognosis. Conclusions: We advocate the use of LIPS-3 as an easy-to-assess and inexpensive adjuvant prognostic tool for patients with PD-L1 ≥ 50% aNSCLC.

Published
2021

36. Post-progression outcomes of NSCLC patients with PD-L1 expression ≥ 50% receiving first-line single-agent pembrolizumab in a large multicentre real-world study

Author

Cortellini, A, Cannita, K, Tiseo, M, Cortinovis, D, Aerts, J, Baldessari, C, Giusti, R, Ferrara, M, D'Argento, E, Grossi, F, Guida, A, Berardi, R, Morabito, A, Genova, C, Antonuzzo, L, Mazzoni, F, De Toma, A, Signorelli, D, Gelibter, A, Targato, G, Rastelli, F, Chiari, R, Rocco, D, Gori, S, De Tursi, M, Mansueto, G, Zoratto, F, Filetti, M, Bracarda, S, Citarella, F, Russano, M, Cantini, L, Nigro, O, Buti, S, Minuti, G, Landi, L, Ricciardi, S, Migliorino, M, Natalizio, S, Simona, C, De Filippis, M, Metro, G, Adamo, V, Russo, A, Spinelli, G, Di Maio, M, Banna, G, Friedlaender, A, Addeo, A, Pinato, D, Ficorella, C, Porzio, G, Cortellini A, Cannita K, Tiseo M, Cortinovis D, Aerts JGJV, Baldessari C, Giusti R, Ferrara MG, D'Argento E, Grossi F, Guida A, Berardi R, Morabito A, Genova C, Antonuzzo L, Mazzoni F, De Toma A, Signorelli D, Gelibter A, Targato G, Rastelli F, Chiari R, Rocco D, Gori S, De Tursi M, Mansueto G, Zoratto F, Filetti M, Bracarda S, Citarella F, Russano M, Cantini L, Nigro O, Buti S, Minuti G, Landi L, Ricciardi S, Migliorino MR, Natalizio S, Simona C, De Filippis M, Metro G, Adamo V, Russo A, Spinelli GP, Di Maio M, Banna GL, Friedlaender A, Addeo A, Pinato DJ, Ficorella C, Porzio G, Cortellini, A, Cannita, K, Tiseo, M, Cortinovis, D, Aerts, J, Baldessari, C, Giusti, R, Ferrara, M, D'Argento, E, Grossi, F, Guida, A, Berardi, R, Morabito, A, Genova, C, Antonuzzo, L, Mazzoni, F, De Toma, A, Signorelli, D, Gelibter, A, Targato, G, Rastelli, F, Chiari, R, Rocco, D, Gori, S, De Tursi, M, Mansueto, G, Zoratto, F, Filetti, M, Bracarda, S, Citarella, F, Russano, M, Cantini, L, Nigro, O, Buti, S, Minuti, G, Landi, L, Ricciardi, S, Migliorino, M, Natalizio, S, Simona, C, De Filippis, M, Metro, G, Adamo, V, Russo, A, Spinelli, G, Di Maio, M, Banna, G, Friedlaender, A, Addeo, A, Pinato, D, Ficorella, C, Porzio, G, Cortellini A, Cannita K, Tiseo M, Cortinovis D, Aerts JGJV, Baldessari C, Giusti R, Ferrara MG, D'Argento E, Grossi F, Guida A, Berardi R, Morabito A, Genova C, Antonuzzo L, Mazzoni F, De Toma A, Signorelli D, Gelibter A, Targato G, Rastelli F, Chiari R, Rocco D, Gori S, De Tursi M, Mansueto G, Zoratto F, Filetti M, Bracarda S, Citarella F, Russano M, Cantini L, Nigro O, Buti S, Minuti G, Landi L, Ricciardi S, Migliorino MR, Natalizio S, Simona C, De Filippis M, Metro G, Adamo V, Russo A, Spinelli GP, Di Maio M, Banna GL, Friedlaender A, Addeo A, Pinato DJ, Ficorella C, and Porzio G

Abstract

Background: Treatment sequencing with first-line immunotherapy, followed by second-line chemotherapy, is still a viable option for NSCLC patients with PD-L1 expression ≥50%. Methods: We evaluated post-progression treatment pathways in a large real-world cohort of metastatic NSCLC patients with PD-L1 expression ≥ 50% treated with first-line pembrolizumab monotherapy. Results: Overall, 974 patients were included. With a median follow-up of 22.7 months (95%CI: 21.6–38.2), the median overall survival (OS) of the entire population was 15.8 months (95%CI: 13.5–17.5; 548 events). At the data cutoff, among the 678 patients who experienced disease progression, 379 (55.9%) had not received any further treatment, and 359 patients (52.9%) had died. Patients who did not receive post-progression therapies were older (p = 0.0011), with a worse ECOG-PS (p < 0.0001) and were on corticosteroids prior to pembrolizumab (p = 0.0024). At disease progression, 198 patients (29.2%) received a switched approach and 101 (14.9%) received pembrolizumab ByPD either alone (64 [9.4%]) or in combination with local ablative treatments (37 [5.5%]) (LATs). After a random-case control matching according to ECOG-PS, CNS metastases, bone metastases, and (previous) best response to pembrolizumab, patients receiving pembrolizumab ByPD plus LATs were confirmed to have a significantly longer post-progression OS compared to patients receiving pembrolizumab ByPD alone 13.9 months versus 7.8 months (p = 0.0179) 241 patients (35.5%) among the 678 who had experienced PD, received a second-line systemic treatment (regardless of previous treatment beyond PD). As compared to first-line treatment commencement, patients’ features at the moment of second-line initiation showed a significantly higher proportion of patients aged under 70 years (p = 0.0244), with a poorer ECOG-PS (p < 0.0001) and having CNS (p = 0.0001), bone (p = 0.0266) and liver metastases (p = 0.0148). Conclusions: In the real-world scenario NSC

Published
2021

37. Creation of a biological sensorimotor interface for bionic reconstruction

Author

Christopher Festin, Joachim Ortmayr, Udo Maierhofer, Vlad Tereshenko, Roland Blumer, Martin Schmoll, Génova Carrero-Rojas, Matthias Luft, Gregor Laengle, Dario Farina, Konstantin D. Bergmeister, and Oskar C. Aszmann

Subjects
Science
Abstract

Abstract Neuromuscular control of bionic arms has constantly improved over the past years, however, restoration of sensation remains elusive. Previous approaches to reestablish sensory feedback include tactile, electrical, and peripheral nerve stimulation, however, they cannot recreate natural, intuitive sensations. Here, we establish an experimental biological sensorimotor interface and demonstrate its potential use in neuroprosthetics. We transfer a mixed nerve to a skeletal muscle combined with glabrous dermal skin transplantation, thus forming a bi-directional communication unit in a rat model. Morphological analyses indicate reinnervation of the skin, mechanoreceptors, NMJs, and muscle spindles. Furthermore, sequential retrograde labeling reveals specific sensory reinnervation at the level of the dorsal root ganglia. Electrophysiological recordings show reproducible afferent signals upon tactile stimulation and tendon manipulation. The results demonstrate the possibility of surgically creating an interface for both decoding efferent motor control, as well as encoding afferent tactile and proprioceptive feedback, and may indicate the way forward regarding clinical translation of biological communication pathways for neuroprosthetic applications.

Published
2024
Full Text
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38. Immune-related Adverse Events of Pembrolizumab in a Large Real-world Cohort of Patients With NSCLC With a PD-L1 Expression ≥ 50% and Their Relationship With Clinical Outcomes

Author

Cortellini, A, Friedlaender, A, Banna, G, Porzio, G, Bersanelli, M, Cappuzzo, F, Aerts, J, Giusti, R, Bria, E, Cortinovis, D, Grossi, F, Migliorino, M, Galetta, D, Passiglia, F, Berardi, R, Mazzoni, F, Di Noia, V, Signorelli, D, Tuzi, A, Gelibter, A, Marchetti, P, Macerelli, M, Rastelli, F, Chiari, R, Rocco, D, Inno, A, Di Marino, P, Mansueto, G, Zoratto, F, Santoni, M, Tudini, M, Ghidini, M, Filetti, M, Catino, A, Pizzutilo, P, Sala, L, Occhipinti, M, Citarella, F, Marco, R, Torniai, M, Cantini, L, Follador, A, Sforza, V, Nigro, O, Ferrara, M, D'Argento, E, Leonetti, A, Pettoruti, L, Antonuzzo, L, Scodes, S, Landi, L, Guaitoli, G, Baldessari, C, Bertolini, F, Della Gravara, L, Dal Bello, M, Belderbos, R, De Filippis, M, Cecchi, C, Ricciardi, S, Donisi, C, De Toma, A, Proto, C, Addeo, A, Cantale, O, Ricciuti, B, Genova, C, Morabito, A, Santini, D, Ficorella, C, Cannita, K, Cortellini A, Friedlaender A, Banna GL, Porzio G, Bersanelli M, Cappuzzo F, Aerts JGJV, Giusti R, Bria E, Cortinovis D, Grossi F, Migliorino MR, Galetta D, Passiglia F, Berardi R, Mazzoni F, Di Noia V, Signorelli D, Tuzi A, Gelibter A, Marchetti P, Macerelli M, Rastelli F, Chiari R, Rocco D, Inno A, Di Marino P, Mansueto G, Zoratto F, Santoni M, Tudini M, Ghidini M, Filetti M, Catino A, Pizzutilo P, Sala L, Occhipinti MA, Citarella F, Marco R, Torniai M, Cantini L, Follador A, Sforza V, Nigro O, Ferrara MG, D'Argento E, Leonetti A, Pettoruti L, Antonuzzo L, Scodes S, Landi L, Guaitoli G, Baldessari C, Bertolini F, Della Gravara L, Dal Bello MG, Belderbos RA, De Filippis M, Cecchi C, Ricciardi S, Donisi C, De Toma A, Proto C, Addeo A, Cantale O, Ricciuti B, Genova C, Morabito A, Santini D, Ficorella C, Cannita K., Cortellini, A, Friedlaender, A, Banna, G, Porzio, G, Bersanelli, M, Cappuzzo, F, Aerts, J, Giusti, R, Bria, E, Cortinovis, D, Grossi, F, Migliorino, M, Galetta, D, Passiglia, F, Berardi, R, Mazzoni, F, Di Noia, V, Signorelli, D, Tuzi, A, Gelibter, A, Marchetti, P, Macerelli, M, Rastelli, F, Chiari, R, Rocco, D, Inno, A, Di Marino, P, Mansueto, G, Zoratto, F, Santoni, M, Tudini, M, Ghidini, M, Filetti, M, Catino, A, Pizzutilo, P, Sala, L, Occhipinti, M, Citarella, F, Marco, R, Torniai, M, Cantini, L, Follador, A, Sforza, V, Nigro, O, Ferrara, M, D'Argento, E, Leonetti, A, Pettoruti, L, Antonuzzo, L, Scodes, S, Landi, L, Guaitoli, G, Baldessari, C, Bertolini, F, Della Gravara, L, Dal Bello, M, Belderbos, R, De Filippis, M, Cecchi, C, Ricciardi, S, Donisi, C, De Toma, A, Proto, C, Addeo, A, Cantale, O, Ricciuti, B, Genova, C, Morabito, A, Santini, D, Ficorella, C, Cannita, K, Cortellini A, Friedlaender A, Banna GL, Porzio G, Bersanelli M, Cappuzzo F, Aerts JGJV, Giusti R, Bria E, Cortinovis D, Grossi F, Migliorino MR, Galetta D, Passiglia F, Berardi R, Mazzoni F, Di Noia V, Signorelli D, Tuzi A, Gelibter A, Marchetti P, Macerelli M, Rastelli F, Chiari R, Rocco D, Inno A, Di Marino P, Mansueto G, Zoratto F, Santoni M, Tudini M, Ghidini M, Filetti M, Catino A, Pizzutilo P, Sala L, Occhipinti MA, Citarella F, Marco R, Torniai M, Cantini L, Follador A, Sforza V, Nigro O, Ferrara MG, D'Argento E, Leonetti A, Pettoruti L, Antonuzzo L, Scodes S, Landi L, Guaitoli G, Baldessari C, Bertolini F, Della Gravara L, Dal Bello MG, Belderbos RA, De Filippis M, Cecchi C, Ricciardi S, Donisi C, De Toma A, Proto C, Addeo A, Cantale O, Ricciuti B, Genova C, Morabito A, Santini D, Ficorella C, and Cannita K.

Abstract

Background: The role of immune-related adverse events (irAEs), as a surrogate predictor of the efficacy of checkpoint inhibitors, has not yet been described in the setting of first-line, single-agent pembrolizumab for patients with metastatic non-small-cell lung-cancer (NSCLC) with a programmed death-ligand 1 (PD-L1) expression of ≥ 50%. Patients and methods: We previously conducted a multicenter retrospective analysis in patients with treatment-naive metastatic NSCLC and a PD-L1 expression of ≥ 50% receiving first-line pembrolizumab. Here, we report the results of the irAE analysis and the potential correlation between irAEs and clinical outcomes. Results: A total of 1010 patients were included in this analysis; after a 6-week landmark selection, 877 (86.8%) patients were included in the efficacy analysis. Any grade irAEs (P < .0001), grade 3/4 irAEs (P = .0025), leading to discontinuation irAEs (P = .0144), multiple-site and single-site irAEs (P < .0001), cutaneous irAEs (P = .0001), endocrine irAEs (P = .0227), pulmonary irAEs (P = .0479), and rheumatologic irAEs (P = .0018) were significantly related to a higher objective response rate. Any grade irAEs (P < .0001), single-site irAEs (P < .0001), multiple-site irAEs (P = .0005), cutaneous irAEs (P = .0042), endocrine irAEs (P < .0001), gastrointestinal irAEs (P = .0391), and rheumatologic irAEs (P = .0086) were significantly related to progression-free survival. Any grade irAEs (P < .0001), single-site irAEs (P < .0001), multiple-site irAEs (P = .0003), cutaneous irAEs (P = .0002), endocrine irAEs (P = .0001), and rheumatologic irAEs (P = .0214) were significantly related to overall survival. Conclusions: This study confirms the feasibility and the safety of first-line, single-agent pembrolizumab, in a large, real-world cohort of patients with NSCLC with PD-L1 expression ≥ 50%. The occurrence of irAEs may be a surrogate of clinical activity and improved outcomes in this setting.

Published
2020

39. Baseline BMI and BMI variation during first line pembrolizumab in NSCLC patients with a PD-L1 expression ≥ 50%: a multicenter study with external validation

Author

Cortellini, A, Ricciuti, B, Tiseo, M, Bria, E, Banna, G, Aerts, J, Barbieri, F, Giusti, R, Cortinovis, D, Migliorino, M, Catino, A, Passiglia, F, Torniai, M, Morabito, A, Genova, C, Mazzoni, F, Di Noia, V, Signorelli, D, Gelibter, A, Occhipinti, M, Rastelli, F, Chiari, R, Rocco, D, Inno, A, De Tursi, M, Di Marino, P, Mansueto, G, Zoratto, F, Grossi, F, Filetti, M, Pizzutilo, P, Russano, M, Citarella, F, Cantini, L, Targato, G, Nigro, O, Ferrara, M, Buti, S, Scodes, S, Landi, L, Guaitoli, G, Della Gravara, L, Tabbò, F, Ricciardi, S, De Toma, A, Friedlaender, A, Petrelli, F, Addeo, A, Porzio, G, Ficorella, C, Cortellini A, Ricciuti B, Tiseo M, Bria E, Banna GL, Aerts JG, Barbieri F, Giusti R, Cortinovis D, Migliorino MR, Catino A, Passiglia F, Torniai M, Morabito A, Genova C, Mazzoni F, Di Noia V, Signorelli D, Gelibter A, Occhipinti MA, Rastelli F, Chiari R, Rocco D, Inno A, De Tursi M, Di Marino P, Mansueto G, Zoratto F, Grossi F, Filetti M, Pizzutilo P, Russano M, Citarella F, Cantini L, Targato G, Nigro O, Ferrara MG, Buti S, Scodes S, Landi L, Guaitoli G, Della Gravara L, Tabbò F, Ricciardi S, De Toma A, Friedlaender A, Petrelli F, Addeo A, Porzio G, Ficorella C., Cortellini, A, Ricciuti, B, Tiseo, M, Bria, E, Banna, G, Aerts, J, Barbieri, F, Giusti, R, Cortinovis, D, Migliorino, M, Catino, A, Passiglia, F, Torniai, M, Morabito, A, Genova, C, Mazzoni, F, Di Noia, V, Signorelli, D, Gelibter, A, Occhipinti, M, Rastelli, F, Chiari, R, Rocco, D, Inno, A, De Tursi, M, Di Marino, P, Mansueto, G, Zoratto, F, Grossi, F, Filetti, M, Pizzutilo, P, Russano, M, Citarella, F, Cantini, L, Targato, G, Nigro, O, Ferrara, M, Buti, S, Scodes, S, Landi, L, Guaitoli, G, Della Gravara, L, Tabbò, F, Ricciardi, S, De Toma, A, Friedlaender, A, Petrelli, F, Addeo, A, Porzio, G, Ficorella, C, Cortellini A, Ricciuti B, Tiseo M, Bria E, Banna GL, Aerts JG, Barbieri F, Giusti R, Cortinovis D, Migliorino MR, Catino A, Passiglia F, Torniai M, Morabito A, Genova C, Mazzoni F, Di Noia V, Signorelli D, Gelibter A, Occhipinti MA, Rastelli F, Chiari R, Rocco D, Inno A, De Tursi M, Di Marino P, Mansueto G, Zoratto F, Grossi F, Filetti M, Pizzutilo P, Russano M, Citarella F, Cantini L, Targato G, Nigro O, Ferrara MG, Buti S, Scodes S, Landi L, Guaitoli G, Della Gravara L, Tabbò F, Ricciardi S, De Toma A, Friedlaender A, Petrelli F, Addeo A, Porzio G, and Ficorella C.

Abstract

Background The association between obesity and outcomes in patients receiving programmed death-1/programmed death ligand-1 (PD-L1) checkpoint inhibitors has already been confirmed in pre-treated non-small cell lung cancer (NSCLC) patients, regardless of PD-L1 tumor expression. Methods We present the outcomes analysis according to baseline body mass index (BMI) and BMI variation in a large cohort of metastatic NSCLC patients with a PD-L1 expression ≥50%, receiving first line pembrolizumab. We also evaluated a control cohort of metastatic NSCLC patients treated with first line platinum-based chemotherapy. Normal weight was set as control group. Results 962 patients and 426 patients were included in the pembrolizumab and chemotherapy cohorts, respectively. Obese patients had a significantly higher objective response rate (ORR) (OR=1.61 (95% CI: 1.04-2.50)) in the pembrolizumab cohort, while overweight patients had a significantly lower ORR (OR=0.59 (95% CI: 0.37-0.92)) within the chemotherapy cohort. Obese patients had a significantly longer progression-free survival (PFS) (HR=0.61 (95% CI: 0.45-0.82)) in the pembrolizumab cohort. Conversely, they had a significantly shorter PFS in the chemotherapy cohort (HR=1.27 (95% CI: 1.01-1.60)). Obese patients had a significantly longer overall survival (OS) within the pembrolizumab cohort (HR=0.70 (95% CI: 0.49-0.99)), while no significant differences according to baseline BMI were found in the chemotherapy cohort. BMI variation significantly affected ORR, PFS and OS in both the pembrolizumab and the chemotherapy cohorts. Conclusions Baseline obesity is associated to significantly improved ORR, PFS and OS in metastatic NSCLC patients with a PD-L1 expression of ≥50%, receiving first line pembrolizumab, but not among patients treated with chemotherapy. BMI variation is also significantly related to clinical outcomes.

Published
2020

40. Clinicopathologic correlates of first-line pembrolizumab effectiveness in patients with advanced NSCLC and a PD-L1 expression of ≥ 50

Author

Cortellini, A, Tiseo, M, Banna, G, Cappuzzo, F, Aerts, J, Barbieri, F, Giusti, R, Bria, E, Cortinovis, D, Grossi, F, Migliorino, M, Galetta, D, Passiglia, F, Santini, D, Berardi, R, Morabito, A, Genova, C, Mazzoni, F, Di Noia, V, Signorelli, D, Tuzi, A, Gelibter, A, Marchetti, P, Macerelli, M, Rastelli, F, Chiari, R, Rocco, D, Gori, S, De Tursi, M, Mansueto, G, Zoratto, F, Santoni, M, Tudini, M, Rijavec, E, Filetti, M, Catino, A, Pizzutilo, P, Sala, L, Citarella, F, Marco, R, Torniai, M, Cantini, L, Targato, G, Sforza, V, Nigro, O, Ferrara, M, D'Argento, E, Buti, S, Bordi, P, Antonuzzo, L, Scodes, S, Landi, L, Guaitoli, G, Baldessari, C, Della Gravara, L, Dal Bello, M, Belderbos, R, Bironzo, P, Carnio, S, Ricciardi, S, Grieco, A, De Toma, A, Proto, C, Friedlaender, A, Cantale, O, Ricciuti, B, Addeo, A, Metro, G, Ficorella, C, Porzio, G, Cortellini A, Tiseo M, Banna GL, Cappuzzo F, Aerts JGJV, Barbieri F, Giusti R, Bria E, Cortinovis D, Grossi F, Migliorino MR, Galetta D, Passiglia F, Santini D, Berardi R, Morabito A, Genova C, Mazzoni F, Di Noia V, Signorelli D, Tuzi A, Gelibter A, Marchetti P, Macerelli M, Rastelli F, Chiari R, Rocco D, Gori S, De Tursi M, Mansueto G, Zoratto F, Santoni M, Tudini M, Rijavec E, Filetti M, Catino A, Pizzutilo P, Sala L, Citarella F, Marco R, Torniai M, Cantini L, Targato G, Sforza V, Nigro O, Ferrara MG, D'Argento E, Buti S, Bordi P, Antonuzzo L, Scodes S, Landi L, Guaitoli G, Baldessari C, Della Gravara L, Dal Bello MG, Belderbos RA, Bironzo P, Carnio S, Ricciardi S, Grieco A, De Toma A, Proto C, Friedlaender A, Cantale O, Ricciuti B, Addeo A, Metro G, Ficorella C, Porzio G., Cortellini, A, Tiseo, M, Banna, G, Cappuzzo, F, Aerts, J, Barbieri, F, Giusti, R, Bria, E, Cortinovis, D, Grossi, F, Migliorino, M, Galetta, D, Passiglia, F, Santini, D, Berardi, R, Morabito, A, Genova, C, Mazzoni, F, Di Noia, V, Signorelli, D, Tuzi, A, Gelibter, A, Marchetti, P, Macerelli, M, Rastelli, F, Chiari, R, Rocco, D, Gori, S, De Tursi, M, Mansueto, G, Zoratto, F, Santoni, M, Tudini, M, Rijavec, E, Filetti, M, Catino, A, Pizzutilo, P, Sala, L, Citarella, F, Marco, R, Torniai, M, Cantini, L, Targato, G, Sforza, V, Nigro, O, Ferrara, M, D'Argento, E, Buti, S, Bordi, P, Antonuzzo, L, Scodes, S, Landi, L, Guaitoli, G, Baldessari, C, Della Gravara, L, Dal Bello, M, Belderbos, R, Bironzo, P, Carnio, S, Ricciardi, S, Grieco, A, De Toma, A, Proto, C, Friedlaender, A, Cantale, O, Ricciuti, B, Addeo, A, Metro, G, Ficorella, C, Porzio, G, Cortellini A, Tiseo M, Banna GL, Cappuzzo F, Aerts JGJV, Barbieri F, Giusti R, Bria E, Cortinovis D, Grossi F, Migliorino MR, Galetta D, Passiglia F, Santini D, Berardi R, Morabito A, Genova C, Mazzoni F, Di Noia V, Signorelli D, Tuzi A, Gelibter A, Marchetti P, Macerelli M, Rastelli F, Chiari R, Rocco D, Gori S, De Tursi M, Mansueto G, Zoratto F, Santoni M, Tudini M, Rijavec E, Filetti M, Catino A, Pizzutilo P, Sala L, Citarella F, Marco R, Torniai M, Cantini L, Targato G, Sforza V, Nigro O, Ferrara MG, D'Argento E, Buti S, Bordi P, Antonuzzo L, Scodes S, Landi L, Guaitoli G, Baldessari C, Della Gravara L, Dal Bello MG, Belderbos RA, Bironzo P, Carnio S, Ricciardi S, Grieco A, De Toma A, Proto C, Friedlaender A, Cantale O, Ricciuti B, Addeo A, Metro G, Ficorella C, and Porzio G.

Abstract

Background: Single-agent pembrolizumab represents the standard first-line option for metastatic non-small-cell lung cancer (NSCLC) patients with a PD-L1 (programmed death-ligand 1) expression of ≥ 50%. Methods: We conducted a multicenter retrospective study aimed at evaluating the clinicopathologic correlates of pembrolizumab effectiveness in patients with treatment-naïve NSCLC and a PD-L1 expression of ≥ 50%. Results: One thousand and twenty-six consecutive patients were included. The objective response rate (ORR) was 44.5% (95% CI 40.2–49.1), while the median progression free survival (PFS) and overall survival (OS) were 7.9 months (95% CI 6.9–9.5; 599 events) and 17.2 months (95% CI 15.3–22.3; 598 censored patients), respectively. ECOG-PS ≥ 2 (p < 0.0001) and bone metastases (p = 0.0003) were confirmed to be independent predictors of a worse ORR. Former smokers (p = 0.0002), but not current smokers (p = 0.0532) were confirmed to have a significantly prolonged PFS compared to never smokers at multivariate analysis. ECOG-PS (p < 0.0001), bone metastases (p < 0.0001) and liver metastases (p < 0.0001) were also confirmed to be independent predictors of a worse PFS. Previous palliative RT was significantly related to a shortened OS (p = 0.0104), while previous non-palliative RT was significantly related to a prolonged OS (p = 0.0033). Former smokers (p = 0.0131), but not current smokers (p = 0.3433) were confirmed to have a significantly prolonged OS compared to never smokers. ECOG-PS (p < 0.0001), bone metastases (p < 0.0001) and liver metastases (p < 0.0001) were also confirmed to be independent predictors of a shortened OS. A PD-L1 expression of ≥ 90%, as assessed by recursive partitioning, was associated with significantly higher ORR (p = 0.0204), and longer and OS (p = 0.0346) at multivariable analysis. Conclusion: Pembrolizumab was effective in a large cohort of NSCLC patients treated outside of clinical trials. Questions regarding the effe

Published
2020

41. A Definitive Prognostication System for Patients With Thoracic Malignancies Diagnosed With Coronavirus Disease 2019: An Update From the TERAVOLT Registry

Author

Whisenant, J. G., Baena, J., Cortellini, A., Huang, L. C., Lo Russo, G., Porcu, L., Wong, S. K., Bestvina, C. M., Hellmann, M. D., Roca, E., Rizvi, H., Monnet, I., Boudjemaa, A., Rogado, J., Pasello, G., Leighl, N. B., Arrieta, O., Aujayeb, A., Batra, U., Azzam, A. Y., Unk, M., Azab, M. A., Zhumagaliyeva, A. N., Gomez-Martin, C., Blaquier, J. B., Geraedts, E., Mountzios, G., Serrano-Montero, G., Reinmuth, N., Coate, L., Marmarelis, M., Presley, C. J., Hirsch, F. R., Garrido, P., Khan, H., Baggi, A., Mascaux, C., Halmos, B., Ceresoli, G. L., Fidler, M. J., Scotti, V., Métivier, A. C., Falchero, L., Felip, E., Genova, C., Mazieres, J., Tapan, U., Brahmer, J., Dingemans, A. M., Peters, S., Whisenant, J. G., Baena, J., Cortellini, A., Huang, L. C., Lo Russo, G., Porcu, L., Wong, S. K., Bestvina, C. M., Hellmann, M. D., Roca, E., Rizvi, H., Monnet, I., Boudjemaa, A., Rogado, J., Pasello, G., Leighl, N. B., Arrieta, O., Aujayeb, A., Batra, U., Azzam, A. Y., Unk, M., Azab, M. A., Zhumagaliyeva, A. N., Gomez-Martin, C., Blaquier, J. B., Geraedts, E., Mountzios, G., Serrano-Montero, G., Reinmuth, N., Coate, L., Marmarelis, M., Presley, C. J., Hirsch, F. R., Garrido, P., Khan, H., Baggi, A., Mascaux, C., Halmos, B., Ceresoli, G. L., Fidler, M. J., Scotti, V., Métivier, A. C., Falchero, L., Felip, E., Genova, C., Mazieres, J., Tapan, U., Brahmer, J., Dingemans, A. M., and Peters, S.

Abstract

Introduction: Patients with thoracic malignancies are at increased risk for mortality from coronavirus disease 2019 (COVID-19), and a large number of intertwined prognostic variables have been identified so far. Methods: Capitalizing data from the Thoracic Cancers International COVID-19 Collaboration (TERAVOLT) registry, a global study created with the aim of describing the impact of COVID-19 in patients with thoracic malignancies, we used a clustering approach, a fast-backward step-down selection procedure, and a tree-based model to screen and optimize a broad panel of demographics and clinical COVID-19 and cancer characteristics. Results: As of April 15, 2021, a total of 1491 consecutive eligible patients from 18 countries were included in the analysis. With a mean observation period of 42 days, 361 events were reported with an all-cause case fatality rate of 24.2%. The clustering procedure screened 73 covariates in 13 clusters. A further multivariable logistic regression for the association between clusters and death was performed, resulting in five clusters significantly associated with the outcome. The fast-backward step-down selection procedure then identified the following seven major determinants of death: Eastern Cooperative Oncology Group—performance status (ECOG-PS) (OR = 2.47, 1.87–3.26), neutrophil count (OR = 2.46, 1.76–3.44), serum procalcitonin (OR = 2.37, 1.64–3.43), development of pneumonia (OR = 1.95, 1.48–2.58), C-reactive protein (OR = 1.90, 1.43–2.51), tumor stage at COVID-19 diagnosis (OR = 1.97, 1.46–2.66), and age (OR = 1.71, 1.29–2.26). The receiver operating characteristic analysis for death of the selected model confirmed its diagnostic ability (area under the receiver operating curve = 0.78, 95% confidence interval: 0.75–0.81). The nomogram was able to classify the COVID-19 mortality in an interval ranging from 8% to 90%, and the tree-based model recognized ECOG-PS, neutrophil count, and c-reactive protein as the major determinants of

Published
2022

43. Erratum to ‘Evaluation of COVID-19 impact on DELAYing diagnostic-therapeutic pathways of lung cancer patients in Italy (COVID-DELAY study): fewer cases and higher stages from a real-world scenario’: [ESMO Open Volume 7, Issue 2, April 2022, 100406]

Author

Cantini, L., Mentrasti, G., Lo Russo, G., Signorelli, D., Pasello, G., Rijavec, E., Russano, M., Antonuzzo, L., Rocco, D., Giusti, R., Adamo, V., Genova, C., Tuzi, A., Morabito, A., Gori, S., La Verde, N., Chiari, R., Cortellini, A., Cognigni, V., Pecci, F., Indini, A., De Toma, A., Zattarin, E., Oresti, S., Pizzutilo, E.G., Frega, S., Erbetta, E., Galletti, A., Citarella, F., Fancelli, S., Caliman, E., Della Gravara, L., Malapelle, U., Filetti, M., Piras, M., Toscano, G., Zullo, L., De Tursi, M., Di Marino, P., D’Emilio, V., Cona, M.S., Guida, A., Caglio, A., Salerno, F., Spinelli, G.P., Bennati, C., Morgillo, F., Russo, A., Dellepiane, C., Vallini, I., Sforza, V., Inno, A., Rastelli, F., Tassi, V., Nicolardi, L., Pensieri, M.V., Emili, R., Roca, E., Migliore, A., Galassi, T., Rocchi, M.B.L., and Berardi, R.

Published
2022
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44. COVID-19 in patients with thoracic malignancies (TERAVOLT): first results of an international, registry-based, cohort study

Author

Garassino, M.C., Whisenant, J.G., Huang, L.C., Trama, A., Torri, V., Agustoni, F., Baena, J., Banna, G., Berardi, R., Bettini, A.C., Bria, E., Brighenti, M., Cadranel, J., Toma, A. De, Chini, C., Cortellini, A., Felip, E., Finocchiaro, G., Garrido, P., Genova, C., Giusti, R., Gregorc, V., Grossi, F., Grosso, F., Intagliata, S., Verde, N. La, Liu, S.V., Mazieres, J., Mercadante, E., Michielin, O., Minuti, G., Moro-Sibilot, D., Pasello, G., Passaro, A., Scotti, V., Solli, P., Stroppa, E., Tiseo, M., Viscardi, G., Voltolini, L., Wu, Y.L., Zai, S., Pancaldi, V., Dingemans, A.M., Meerbeeck, J. Van, Barlesi, F., Wakelee, H., Schuurbiers, O.C.J., Peters, S., Horn, L., RS: GROW - R3 - Innovative Cancer Diagnostics & Therapy, Pulmonologie, MUMC+: MA Med Staf Spec Longziekten (9), Pulmonary Medicine, TERAVOLT investigators, and TERAVOLT Investigators

Subjects
Male, 0301 basic medicine, medicine.medical_specialty, Aged, Betacoronavirus, Cause of Death, Coronavirus Infections, Cross-Sectional Studies, Female, Hospitalization, Humans, Longitudinal Studies, Middle Aged, Pandemics, Pneumonia, Viral, Registries, Risk Factors, Thoracic Neoplasms, COVID-19, Pneumonia, Viral, SARS-CoV-2, Article, 03 medical and health sciences, 0302 clinical medicine, Disease registry, Intensive care, Internal medicine, medicine, Medical history, Risk factor, Lung cancer, business.industry, Mortality rate, Cancer, Coronavirus Infections/epidemiology, Coronavirus Infections/mortality, Coronavirus Infections/pathology, Hospitalization/statistics & numerical data, Pneumonia, Viral/epidemiology, Pneumonia, Viral/mortality, Pneumonia, Viral/pathology, Registries/statistics & numerical data, Thoracic Neoplasms/epidemiology, Thoracic Neoplasms/mortality, Thoracic Neoplasms/pathology, Thoracic Neoplasms/therapy, medicine.disease, 030104 developmental biology, Oncology, 030220 oncology & carcinogenesis, Human medicine, business, Rare cancers Radboud Institute for Health Sciences [Radboudumc 9], Cohort study
Abstract

Contains fulltext : 229846.pdf (Publisher’s version ) (Closed access) BACKGROUND: Early reports on patients with cancer and COVID-19 have suggested a high mortality rate compared with the general population. Patients with thoracic malignancies are thought to be particularly susceptible to COVID-19 given their older age, smoking habits, and pre-existing cardiopulmonary comorbidities, in addition to cancer treatments. We aimed to study the effect of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection on patients with thoracic malignancies. METHODS: The Thoracic Cancers International COVID-19 Collaboration (TERAVOLT) registry is a multicentre observational study composed of a cross-sectional component and a longitudinal cohort component. Eligibility criteria were the presence of any thoracic cancer (non-small-cell lung cancer [NSCLC], small-cell lung cancer, mesothelioma, thymic epithelial tumours, and other pulmonary neuroendocrine neoplasms) and a COVID-19 diagnosis, either laboratory confirmed with RT-PCR, suspected with symptoms and contacts, or radiologically suspected cases with lung imaging features consistent with COVID-19 pneumonia and symptoms. Patients of any age, sex, histology, or stage were considered eligible, including those in active treatment and clinical follow-up. Clinical data were extracted from medical records of consecutive patients from Jan 1, 2020, and will be collected until the end of pandemic declared by WHO. Data on demographics, oncological history and comorbidities, COVID-19 diagnosis, and course of illness and clinical outcomes were collected. Associations between demographic or clinical characteristics and outcomes were measured with odds ratios (ORs) with 95% CIs using univariable and multivariable logistic regression, with sex, age, smoking status, hypertension, and chronic obstructive pulmonary disease included in multivariable analysis. This is a preliminary analysis of the first 200 patients. The registry continues to accept new sites and patient data. FINDINGS: Between March 26 and April 12, 2020, 200 patients with COVID-19 and thoracic cancers from eight countries were identified and included in the TERAVOLT registry; median age was 68.0 years (61.8-75.0) and the majority had an Eastern Cooperative Oncology Group performance status of 0-1 (142 [72%] of 196 patients), were current or former smokers (159 [81%] of 196), had non-small-cell lung cancer (151 [76%] of 200), and were on therapy at the time of COVID-19 diagnosis (147 [74%] of 199), with 112 (57%) of 197 on first-line treatment. 152 (76%) patients were hospitalised and 66 (33%) died. 13 (10%) of 134 patients who met criteria for ICU admission were admitted to ICU; the remaining 121 were hospitalised, but were not admitted to ICU. Univariable analyses revealed that being older than 65 years (OR 1.88, 95% 1.00-3.62), being a current or former smoker (4.24, 1.70-12.95), receiving treatment with chemotherapy alone (2.54, 1.09-6.11), and the presence of any comorbidities (2.65, 1.09-7.46) were associated with increased risk of death. However, in multivariable analysis, only smoking history (OR 3.18, 95% CI 1.11-9.06) was associated with increased risk of death. INTERPRETATION: With an ongoing global pandemic of COVID-19, our data suggest high mortality and low admission to intensive care in patients with thoracic cancer. Whether mortality could be reduced with treatment in intensive care remains to be determined. With improved cancer therapeutic options, access to intensive care should be discussed in a multidisciplinary setting based on cancer specific mortality and patients' preference. FUNDING: None.

Published
2020

46. Characterization, number, and spatial organization of nerve fibers in the human cervical vagus nerve and its superior cardiac branch

Author

Bettina Kronsteiner, Genova Carrero-Rojas, Lukas F. Reissig, Atieh Seyedian Moghaddam, Karoline M. Schwendt, Sylvia Gerges, Udo Maierhofer, Oskar C. Aszmann, Angel M. Pastor, Attila Kiss, Bruno K. Podesser, Wolfgang Birkfellner, Francesco Moscato, Roland Blumer, and Wolfgang J. Weninger

Subjects
Human vagus nerve, Superior cardiac branch of the human vagus nerve, Vagal motor fibers, Vagal sensory fibers, Vagal sympathetic fibers, Immunofluorescence, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Background: Electrical stimulation of the vagus nerve (VN) is a therapy for epilepsy, obesity, depression, and heart diseases. However, whole nerve stimulation leads to side effects. We examined the neuroanatomy of the mid-cervical segment of the human VN and its superior cardiac branch to gain insight into the side effects of VN stimulation and aid in developing targeted stimulation strategies. Methods: Nerve specimens were harvested from eight human body donors, then subjected to immunofluorescence and semiautomated quantification to determine the signature, quantity, and spatial distribution of different axonal categories. Results: The right and left cervical VN (cVN) contained a total of 25,489 ± 2781 and 23,286 ± 3164 fibers, respectively. Two-thirds of the fibers were unmyelinated and one-third were myelinated. About three-quarters of the fibers in the right and left cVN were sensory (73.9 ± 7.5 % versus 72.4 ± 5.6 %), while 13.2 ± 1.8 % versus 13.3 ± 3.0 % were special visceromotor and parasympathetic, and 13 ± 5.9 % versus 14.3 ± 4.0 % were sympathetic. Special visceromotor and parasympathetic fibers formed clusters. The superior cardiac branches comprised parasympathetic, vagal sensory, and sympathetic fibers with the left cardiac branch containing more sympathetic fibers than the right (62.7 ± 5.4 % versus 19.8 ± 13.3 %), and 50 % of the left branch contained sensory and sympathetic fibers only. Conclusion: The study indicates that selective stimulation of vagal sensory and motor fibers is possible. However, it also highlights the potential risk of activating sympathetic fibers in the superior cardiac branch, especially on the left side.

Published
2024
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48. Activity of EGFR TKIs in Caucasian Patients With NSCLC Harboring Potentially Sensitive Uncommon EGFR Mutations

Author

Passaro, A, Prelaj, A, Bonanno, L, Tiseo, M, Tuzi, A, Proto, C, Chiari, R, Rocco, D, Genova, C, Sini, C, Cortinovis, D, Pilotto, S, Landi, L, Bennati, C, Camerini, A, Toschi, L, Putzu, C, Cerea, G, Spitaleri, G, Cappuzzo, F, de Marinis, F, Passaro A, Prelaj A, Bonanno L, Tiseo M, Tuzi A, Proto C, Chiari R, Rocco D, Genova C, Sini C, Cortinovis D, Pilotto S, Landi L, Bennati C, Camerini A, Toschi L, Putzu C, Cerea G, Spitaleri G, Cappuzzo F, de Marinis F., Passaro, A, Prelaj, A, Bonanno, L, Tiseo, M, Tuzi, A, Proto, C, Chiari, R, Rocco, D, Genova, C, Sini, C, Cortinovis, D, Pilotto, S, Landi, L, Bennati, C, Camerini, A, Toschi, L, Putzu, C, Cerea, G, Spitaleri, G, Cappuzzo, F, de Marinis, F, Passaro A, Prelaj A, Bonanno L, Tiseo M, Tuzi A, Proto C, Chiari R, Rocco D, Genova C, Sini C, Cortinovis D, Pilotto S, Landi L, Bennati C, Camerini A, Toschi L, Putzu C, Cerea G, Spitaleri G, Cappuzzo F, and de Marinis F.

Abstract

Background: Molecular characterization of non–small-cell lung cancer (NSCLC), defined predictive and druggable mutations that greatly modified patient prognoses. The most frequent driver mutations detected in NSCLC are epidermal growth factor receptor (EGFR) mutations, accounting for approximately 90% of exon 19 deletions and exon 21 point mutations. The other EGFR mutations are classified as uncommon or nonclassical and include exon 18 point mutations, exon 20 insertions, and combined mutations, which present different sensitivity to tyrosine kinase inhibitor (TKI) targeting. Patients and Methods: We collected data from EGFR TKI-naive patients with metastatic NSCLC, harboring EGFR exon 18 mutations and EGFR combined mutations treated with first- or second-generation EGFR TKIs. Efficacy end points were evaluated considering the activity of EGFR TKIs in exon 18 versus double-mutation EGFR groups. Results: Eighty-eight patients harboring uncommon EGFR mutations were evaluated in our analysis, and subdivided into 2 group: complex mutations (cohort A = 46 patients) and double mutations in exon 18 (cohort B = 42 patients). The results showed a median progression-free survival of 8.3 versus 12.3 months (hazard ratio [HR], 0.65; P = .06) and a median overall survival of 17.0 versus 31.0 months (HR, 0.62, P = .04) favoring the EGFR combination group. Within the combination group, no detrimental effect was associated with exon 20 mutations. Conclusion: Our study confirmed that EGFR exon 18 and combination mutations might be considered potentially sensitive uncommon mutations, with a similar survival compared with the well known common EGFR mutations. Comparative analysis showed that patients with complex mutations achieved longer survival compared with the exon 18 group, without correlation with the presence of exon 20 mutations. © 2018 Elsevier Inc. Uncommon epidermal growth factor receptor (EGFR) mutations reported in non–small-cell lung cancer, accounting approximately 10

Published
2019

49. Corrigendum to ‘The lung immuno-oncology prognostic score (LIPS-3): a prognostic classification of patients receiving first-line pembrolizumab for PD-L1 ≥ 50% advanced non-small-cell lung cancer’: [ESMO Open Volume 6, Issue 2, April 2021, 100078]

Author

Banna, G.L., Cortellini, A., Cortinovis, D.L., Tiseo, M., Aerts, J.G.J.V., Barbieri, F., Giusti, R., Bria, E., Grossi, F., Pizzutilo, P., Berardi, R., Morabito, A., Genova, C., Mazzoni, F., Di Noia, V., Signorelli, D., Gelibter, A., Macerelli, M., Rastelli, F., Chiari, R., Rocco, D., Gori, S., De Tursi, M., Di Marino, P., Mansueto, G., Zoratto, F., Filetti, M., Montrone, M., Citarella, F., Marco, R., Cantini, L., Nigro, O., D'Argento, E., Buti, S., Minuti, G., Landi, L., Guaitoli, G., Lo Russo, G., De Toma, A., Donisi, C., Friedlaender, A., De Giglio, A., Metro, G., Porzio, G., Ficorella, C., and Addeo, A.

Published
2021
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50. Corrigendum to 'The lung immuno-oncology prognostic score (LIPS-3): a prognostic classification of patients receiving first-line pembrolizumab for PD-L1 ≥ 50% advanced non-small-cell lung cancer': [ESMO Open Volume 6, Issue 2, April 2021, 100078]

Author

Banna, GL, Cortellini, A, Cortinovis, DL, Tiseo, M, Aerts, JGJV, Barbieri, F, Giusti, R, Bria, E, Grossi, F, Pizzutilo, P, Berardi, R, Morabito, A, Genova, C, Mazzoni, F, Di Noia, V, Signorelli, D, Gelibter, A, Macerelli, M, Rastelli, F, Chiari, R, Rocco, D, Gori, S, De Tursi, M, Di Marino, P, Mansueto, G, Zoratto, F, Filetti, M, Montrone, M, Citarella, F, Marco, R, Cantini, L, Nigro, O, D'Argento, E, Buti, S, Minuti, G, Landi, L, Guaitoli, G, Lo Russo, G, De Toma, A, Donisi, C, Friedlaender, A, De Giglio, A, Metro, G, Porzio, G, Ficorella, C, and Addeo, A

Abstract

ispartof: ESMO Open vol:6 issue:3 pages:100137- ispartof: location:England status: published

Published
2021

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