Application of the Meet-URO score to metastatic renal cell carcinoma patients treated with second- and third-line cabozantinib.

biomarkers cabozantinib clinical factors prognostic score renal cell carcinoma target therapy

Journal

Therapeutic advances in medical oncology
ISSN: 1758-8340
Titre abrégé: Ther Adv Med Oncol
Pays: England
ID NLM: 101510808

Informations de publication

Date de publication:
2022
Historique:
received: 05 10 2021
accepted: 21 01 2022
entrez: 3 3 2022
pubmed: 4 3 2022
medline: 4 3 2022
Statut: epublish

Résumé

The addition of neutrophil-to-lymphocyte ratio (NLR) and bone metastases to the International Metastatic RCC Database Consortium (IMDC) score (by the Meet-URO score) has been shown to better stratify pretreated metastatic renal cell carcinoma (mRCC) patients receiving nivolumab. This study aimed to validate the Meet-URO score in patients receiving cabozantinib to assess its predictivity and prognostic role. A multicenter retrospective analysis evaluated mRCC patients receiving ⩾second-line cabozantinib. NLR, IMDC score and bone metastases were assessed before the start of cabozantinib. The primary endpoint was overall survival (OS). Harrell's Overall, 174 mRCC patients received cabozantinib as second and third line (51.7% and 48.3%, respectively) with a median follow-up of 6.8 months. A shorter median overall survival (mOS) was observed for the IMDC poor-risk group, NLR ⩾3.2 and the presence of bone metastases, while the IMDC intermediate-risk group had a similar mOS to the favourable-risk one. Applying the Meet-URO score, three risk groups were identified: group 1 (55.2% of patients) with a score of 0-3, group 2 (38.5%) with a score of 4-8 and group 3 (6.3%) with a score of 9. Compared to group 1 (mOS: 39.4 months), a statistically significant worse mOS was observed in group 2 (11.2 months) and group 3 (3.2 months) patients, respectively. The Meet-URO This analysis showed that the Meet-URO score provides a more accurate prognostic stratification than the IMDC score in mRCC patients treated with ⩾second-line cabozantinib besides nivolumab. Moreover, it is an easy-to-use tool with no additional costs for clinical practice (web-calculator is available at: https://proviso.shinyapps.io/Meet-URO15_score/). Future investigations will include the application of the Meet-URO score to the first-line immunotherapy-based combination therapies.

Sections du résumé

BACKGROUND BACKGROUND
The addition of neutrophil-to-lymphocyte ratio (NLR) and bone metastases to the International Metastatic RCC Database Consortium (IMDC) score (by the Meet-URO score) has been shown to better stratify pretreated metastatic renal cell carcinoma (mRCC) patients receiving nivolumab. This study aimed to validate the Meet-URO score in patients receiving cabozantinib to assess its predictivity and prognostic role.
METHODS METHODS
A multicenter retrospective analysis evaluated mRCC patients receiving ⩾second-line cabozantinib. NLR, IMDC score and bone metastases were assessed before the start of cabozantinib. The primary endpoint was overall survival (OS). Harrell's
RESULTS RESULTS
Overall, 174 mRCC patients received cabozantinib as second and third line (51.7% and 48.3%, respectively) with a median follow-up of 6.8 months. A shorter median overall survival (mOS) was observed for the IMDC poor-risk group, NLR ⩾3.2 and the presence of bone metastases, while the IMDC intermediate-risk group had a similar mOS to the favourable-risk one. Applying the Meet-URO score, three risk groups were identified: group 1 (55.2% of patients) with a score of 0-3, group 2 (38.5%) with a score of 4-8 and group 3 (6.3%) with a score of 9. Compared to group 1 (mOS: 39.4 months), a statistically significant worse mOS was observed in group 2 (11.2 months) and group 3 (3.2 months) patients, respectively. The Meet-URO
CONCLUSION CONCLUSIONS
This analysis showed that the Meet-URO score provides a more accurate prognostic stratification than the IMDC score in mRCC patients treated with ⩾second-line cabozantinib besides nivolumab. Moreover, it is an easy-to-use tool with no additional costs for clinical practice (web-calculator is available at: https://proviso.shinyapps.io/Meet-URO15_score/). Future investigations will include the application of the Meet-URO score to the first-line immunotherapy-based combination therapies.

Identifiants

pubmed: 35237353
doi: 10.1177/17588359221079580
pii: 10.1177_17588359221079580
pmc: PMC8883304
doi:

Types de publication

Journal Article

Langues

eng

Pagination

17588359221079580

Informations de copyright

© The Author(s), 2022.

Déclaration de conflit d'intérêts

Conflict of interest statement: The authors declared the following potential conflicts of interest with respect to the research, authorship and/or publication of this article: S.E.R. received honoraria as speaker at scientific events and advisory role by Bristol-Myers Squibb and Astellas. U.D.G. serves as advisory/board member of Astellas, Bayer, Bristol-Myers Squibb, IPSEN, Janssen, Merck, Pfizer and Sanofi; received research grant/funding to the institution from AstraZeneca, Roche and Sanofi; and received travel/accommodations/expenses from Bristol-Myers Squibb, IPSEN, Janssen and Pfizer. G.P. serves as advisory boards/consulting for Astellas, AstraZeneca, Bayer, Bristol-Myers Squibb, Janssen, IPSEN, Merk, MSD, Novartis and Pfizer. G.L.B. reports personal fees from AstraZeneca, Janssen-Cilag, Boehringer Ingelheim and Roche and non-financial support from Bristol-Myers Squibb, AstraZeneca, MedImmune, Pierre Fabre and IPSEN, outside the submitted work. S.B. received honoraria as speaker at scientific events and advisory role by BMS, Pfizer, MSD, Ipsen, Roche, Eli Lilly, AstraZeneca, Pierre Fabre and Novartis. G.F. serves as advisory boards for Astellas, Janssen, Pfizer, Bayer, MSD and Merck and received travel accommodation from Astellas, Janssen and Bayer. The other authors have no conflicts of interest to disclose.

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Auteurs

Sara Elena Rebuzzi (SE)

Medical Oncology Unit, Ospedale San Paolo, Via Genova, 30, 17100 Savona, Italy.

Luigi Cerbone (L)

Inserm U981, Villejuif, France.

Alessio Signori (A)

Department of Health Sciences (DISSAL), Section of Biostatistics, University of Genova, Genova, Italy.

Matteo Santoni (M)

Oncology Unit, Macerata Hospital, Macerata, Italy.

Veronica Murianni (V)

Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, Genova, Italy.

Ugo De Giorgi (U)

Department of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) 'Dino Amadori', Meldola, Italy.

Giuseppe Procopio (G)

SS Oncologia Medica Genitourinaria, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.

Camillo Porta (C)

Department of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, Bari, Italy.

Michele Milella (M)

Medical Oncology, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.

Umberto Basso (U)

Medical Oncology Unit 1, Department of Oncology, Istituto Oncologico Veneto IOV-IRCCS, Padova, Italy.

Francesco Massari (F)

Medical Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Marco Maruzzo (M)

Medical Oncology Unit 1, Department of Oncology, Istituto Oncologico Veneto IOV-IRCCS, Padova, Italy.

Roberto Iacovelli (R)

Medical Oncology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.

Nicola Battelli (N)

Oncology Unit, Macerata Hospital, Macerata, Italy.

Luca Carmisciano (L)

Department of Health Sciences (DISSAL), Section of Biostatistics, University of Genova, Genova, Italy.

Giuseppe Luigi Banna (GL)

Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy.

Sebastiano Buti (S)

Medical Oncology Unit, University Hospital of Parma, Parma, Italy.

Giuseppe Fornarini (G)

Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, Genova, Italy.

Classifications MeSH