Tumor glycolytic profiling through 18F-FDG PET/CT predicts immune checkpoint inhibitor efficacy in advanced NSCLC (2022)
- Authors:
- USP affiliated authors: CUNHA, FERNANDO DE QUEIROZ - FMRP ; CASTRO JUNIOR, GILBERTO DE - FM ; WANDERLEY, CARLOS WAGNER DE SOUZA - FMRP ; MARIN, JOSÉ FLÁVIO GOMES - FM
- Unidades: FMRP; FM
- DOI: 10.1177/17588359221138386
- Subjects: BIOMARCADORES; GLICOSE; IMUNOTERAPIA; NEOPLASIAS PULMONARES
- Keywords: 18F-FDG PET/CT; Warburg effect; Biomarkers; Glycolysis; Immunotherapy; Non-small-cell lung cancer
- Language: Inglês
- Imprenta:
- Source:
- Título: Therapeutic Advances in Medical Oncology
- ISSN: 1758-8359
- Volume/Número/Paginação/Ano: v. 14, art. 17588359221138386, p. 1-13, 2022
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SILVA, Saulo Brito et al. Tumor glycolytic profiling through 18F-FDG PET/CT predicts immune checkpoint inhibitor efficacy in advanced NSCLC. Therapeutic Advances in Medical Oncology, v. 14, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1177/17588359221138386. Acesso em: 12 fev. 2026. -
APA
Silva, S. B., Wanderley, C. W. S., Marin, J. F. G., Macedo, M. P. de, Nascimento, E. C. T. do, Antonacio, F. F., et al. (2022). Tumor glycolytic profiling through 18F-FDG PET/CT predicts immune checkpoint inhibitor efficacy in advanced NSCLC. Therapeutic Advances in Medical Oncology, 14, 1-13. doi:10.1177/17588359221138386 -
NLM
Silva SB, Wanderley CWS, Marin JFG, Macedo MP de, Nascimento ECT do, Antonacio FF, Figueiredo CS, Cunha MT, Cunha F de Q, Castro Junior G de. Tumor glycolytic profiling through 18F-FDG PET/CT predicts immune checkpoint inhibitor efficacy in advanced NSCLC [Internet]. Therapeutic Advances in Medical Oncology. 2022 ; 14 1-13.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1177/17588359221138386 -
Vancouver
Silva SB, Wanderley CWS, Marin JFG, Macedo MP de, Nascimento ECT do, Antonacio FF, Figueiredo CS, Cunha MT, Cunha F de Q, Castro Junior G de. Tumor glycolytic profiling through 18F-FDG PET/CT predicts immune checkpoint inhibitor efficacy in advanced NSCLC [Internet]. Therapeutic Advances in Medical Oncology. 2022 ; 14 1-13.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1177/17588359221138386 - Baseline glycolytic tumor burden predicts response and survival in NSCLC and melanoma patients treated with immune checkpoint inhibitors
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Informações sobre o DOI: 10.1177/17588359221138386 (Fonte: oaDOI API)
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