Ferrara, Roberto

Impact of baseline steroids on efficacy of programmed cell death-1 and programmed death-ligand 1 blockade in patients with non-small-cell lung cancer.

Arbour, K. C., Mezquita, L., Long, N., Rizvi, H., Auclin, E., Ni, A., Martínez-Bernal, G., Ferrara, R., Lai, W. V., Hendriks, L. E. L., et al. (2018) · Journal of Clinical Oncology

Cancer Immunotherapy and BiomarkersLung Cancer Diagnosis and Treatment

Cited by 1,071

Association of the Lung Immune Prognostic Index With Immune Checkpoint Inhibitor Outcomes in Patients With Advanced Non–Small Cell Lung Cancer

Mezquita, L., Auclin, E., Ferrara, R., Charrier, M., Remon, J., Planchard, D., Ponce, S., Ares, L. P., Leroy, L., Audigier-Valette, C., et al. (2018) · JAMA Oncology

Cancer Immunotherapy and BiomarkersInflammatory Biomarkers in Disease Prognosis

Cited by 913

Hyperprogressive Disease in Patients With Advanced Non–Small Cell Lung Cancer Treated With PD-1/PD-L1 Inhibitors or With Single-Agent Chemotherapy

Ferrara, R., Mezquita, L., Texier, M., Lahmar, J., Audigier-Valette, C., Tessonnier, L., Mazieres, J., Zalcman, G., Brosseau, S., Le Moulec, S., et al. (2018) · JAMA Oncology

Cancer Immunotherapy and BiomarkersLung Cancer Treatments and Mutations

Cited by 720

Modulation of peripheral blood immune cells by early use of steroids and its association with clinical outcomes in patients with metastatic non-small cell lung cancer treated with immune checkpoint inhibitors

Fucà, G., Galli, G., Poggi, M., Lo Russo, G., Proto, C., Imbimbo, M., Ferrara, R., Zilembo, N., Ganzinelli, M., Sica, A., et al. (2019) · ESMO Open

Cancer Immunotherapy and BiomarkersLung Cancer Diagnosis and Treatment

Cited by 209

Immunosenescence and immunecheckpoint inhibitors in non-small cell lung cancer patients: Does age really matter?

Ferrara, R., Mezquita, L., Auclin, E., Chaput, N., & Besse, B. (2017) · Cancer Treatment Reviews

Cancer Immunotherapy and BiomarkersLung Cancer Treatments and Mutations

Cited by 163

Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients

Prelaj, A., Galli, E. G., Miskovic, V., Pesenti, M., Viscardi, G., Pedica, B., Mazzeo, L., Bottiglieri, A., Provenzano, L., Spagnoletti, A., et al. (2023) · Frontiers in Oncology

Cancer Immunotherapy and BiomarkersRadiomics and Machine Learning in Medical Imaging

Cited by 39