FDG PET biomarkers for prediction of survival in metastatic melanoma prior to anti-PD1 immunotherapy

被引:14
作者
Flaus, A. [1 ,2 ,8 ]
Habouzit, V [1 ]
De Leiris, N. [3 ,4 ]
Vuillez, J. P. [3 ,4 ]
Leccia, M. T. [5 ]
Perrot, J. L. [6 ]
Prevot, N. [1 ]
Cachin, F. [7 ]
机构
[1] Univ St Etienne, St Etienne Univ Hosp, Nucl Med Dept, St Etienne, France
[2] Hosp Civils Lyon, East Grp Hosp, Nucl Med Dept, Lyon, France
[3] Univ Grenoble Alpes, CHU Grenoble Alpes, Nucl Med Dept, Grenoble, France
[4] Univ Grenoble Alpes, INSERM, CHU Grenoble Alpes, Lab Radiopharmaceut Bioclin, F-38000 Grenoble, France
[5] Univ Grenoble Alpes, CHU Grenoble Alpes, Dermatol Dept, Grenoble, France
[6] Univ St Etienne, St Etienne Univ Hosp, Dermatol Dept, St Etienne, France
[7] Jean Perrin Canc Ctr Clermont Ferrand, Nucl Med Dept, Clermont Ferrand, France
[8] CHU St Etienne, Hop Nord, Serv Med Nucl, F-42055 St Etienne 2, France
关键词
TEXTURAL FEATURES; HETEROGENEITY; PARAMETERS; THERAPY; IMAGES;
D O I
10.1038/s41598-021-98310-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Our aim was to analyse whether biomarkers extracted from baseline F-18-FDG PET before anti-PD1 treatment contribute to prognostic survival information for early risk stratification in metastatic melanoma. Fifty-six patients, without prior systemic treatment, BRAF wild type, explored using F-18-FDG PET were included retrospectively. Our primary endpoint was overall survival (OS). Total metabolic tumoral volume (MTV) and forty-one IBSI compliant parameters were extracted from PET. Parameters associated with outcome were evaluated by a cox regression model and when significant helped build a prognostic score. Median follow-up was 22.1 months and 21 patients died. Total MTV and long zone emphasis (LZE) correlated with shorter OS and served to define three risk categories for the prognostic score. For low, intermediate and high risk groups, survival rates were respectively 91.1% (IC 95 80-1), 56.1% (IC 95 37.1-85) and 19% (IC 95 0.06-60.2) and hazard ratios were respectively 0.11 (IC 95 0.025-0.46), P = 0.0028, 1.2 (IC 95 0.48-2.8), P = 0.74 and 5.9 (IC 95 2.5-14), P < 0.0001. To conclude, a prognostic score based on total MTV and LZE separated metastatic melanoma patients in 3 categories with dramatically different outcomes. Innovative therapies should be tested in the group with the lowest prognosis score for future clinical trials.
引用
收藏
页数:9
相关论文
共 40 条
[1]   Pre-treatment 18F-FDG PET-based radiomics predict survival in resected non-small cell lung cancer [J].
Ahn, H. K. ;
Lee, H. ;
Kim, S. G. ;
Hyun, S. H. .
CLINICAL RADIOLOGY, 2019, 74 (06) :467-473
[2]   IFN-γ-related mRNA profile predicts clinical response to PD-1 blockade [J].
Ayers, Mark ;
Lunceford, Jared ;
Nebozhyn, Michael ;
Murphy, Erin ;
Loboda, Andrey ;
Kaufman, David R. ;
Albright, Andrew ;
Cheng, Jonathan D. ;
Kang, S. Peter ;
Shankaran, Veena ;
Piha-Paul, Sarina A. ;
Yearley, Jennifer ;
Seiwert, Tanguy Y. ;
Ribas, Antoni ;
McClanahan, Terrill K. .
JOURNAL OF CLINICAL INVESTIGATION, 2017, 127 (08) :2930-2940
[3]   The effects of segmentation algorithms on the measurement of 18F-FDG PET texture parameters in non-small cell lung cancer [J].
Bashir, Usman ;
Azad, Gurdip ;
Siddique, Muhammad Musib ;
Dhillon, Saana ;
Patel, Nikheel ;
Bassett, Paul ;
Landau, David ;
Goh, Vicky ;
Cook, Gary .
EJNMMI RESEARCH, 2017, 7
[4]   Prediction of outcome in anal squamous cell carcinoma using radiomic feature analysis of pre-treatment FDG PET-CT [J].
Brown, P. J. ;
Zhong, J. ;
Frood, R. ;
Currie, S. ;
Gilbert, A. ;
Appelt, A. L. ;
Sebag-Montefiore, D. ;
Scarsbrook, A. .
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2019, 46 (13) :2790-2799
[5]   Textural Parameters of Tumor Heterogeneity in 18F-FDG PET/CT for Therapy Response Assessment and Prognosis in Patients with Locally Advanced Rectal Cancer [J].
Bundschuh, Ralph A. ;
Dinges, Julia ;
Neumann, Larissa ;
Seyfried, Martin ;
Zsoter, Norbert ;
Papp, Laszlo ;
Rosenberg, Robert ;
Becker, Karen ;
Astner, Sabrina T. ;
Henninger, Martin ;
Herrmann, Ken ;
Ziegler, Sibylle I. ;
Schwaiger, Markus ;
Essler, Markus .
JOURNAL OF NUCLEAR MEDICINE, 2014, 55 (06) :891-897
[6]   Removing Batch Effects in Analysis of Expression Microarray Data: An Evaluation of Six Batch Adjustment Methods [J].
Chen, Chao ;
Grennan, Kay ;
Badner, Judith ;
Zhang, Dandan ;
Gershon, Elliot ;
Jin, Li ;
Liu, Chunyu .
PLOS ONE, 2011, 6 (02)
[7]   Pretreatment 18F-FDG PET/CT Radiomics Predict Local Recurrence in Patients Treated with Stereotactic Body Radiotherapy for Early-Stage Non-Small Cell Lung Cancer: A Multicentric Study [J].
Dissaux, Gurvan ;
Visvikis, Dimitris ;
Da-ano, Ronrick ;
Pradier, Olivier ;
Chajon, Enrique ;
Barillot, Isabelle ;
Duverge, Loig ;
Masson, Ingrid ;
Abgral, Ronan ;
Ribeiro, Maria-Joao Santiago ;
Devillers, Anne ;
Pallardy, Amandine ;
Fleury, Vincent ;
Mahe, Marc-Andre ;
De Crevoisier, Renaud ;
Hatt, Mathieu ;
Schick, Ulrike .
JOURNAL OF NUCLEAR MEDICINE, 2020, 61 (06) :814-820
[8]   Textural features in FDG-PET/CT can predict outcome in melanoma patients to treatment with Vemurafenib and Ipililumab [J].
Dittrich, Daniela ;
Pyka, Thomas ;
Scheidhauer, Klemens ;
Luetje, Susanne ;
Essler, Markus ;
Bundschuh, Ralph A. .
NUKLEARMEDIZIN-NUCLEAR MEDICINE, 2020, 59 (03) :228-234
[9]   Metastatic melanoma: pretreatment contrast-enhanced CT texture parameters as predictive biomarkers of survival in patients treated with pembrolizumab [J].
Durot, Carole ;
Mule, Sebastien ;
Soyer, Philippe ;
Marchal, Aude ;
Grange, Florent ;
Hoeffel, Christine .
EUROPEAN RADIOLOGY, 2019, 29 (06) :3183-3191
[10]   Variability of textural features in FDG PET images due to different acquisition modes and reconstruction parameters [J].
Galavis, Paulina E. ;
Hollensen, Christian ;
Jallow, Ngoneh ;
Paliwal, Bhudatt ;
Jeraj, Robert .
ACTA ONCOLOGICA, 2010, 49 (07) :1012-1016