Literature DB >> 29187498

Association Between PD-L1 Expression and Metabolic Activity on 18F-FDG PET/CT in Patients with Small-sized Lung Cancer.

Kazuki Takada1, Gouji Toyokawa2, Tetsuzo Tagawa1, Kenichi Kohashi3, Takaki Akamine1, Shinkichi Takamori1, Fumihiko Hirai1, Fumihiro Shoji1, Tatsuro Okamoto1, Yoshinao Oda3, Yoshihiko Maehara1.   

Abstract

AIM: We evaluated the metabolic characteristics of small-sized lung cancer using 18F-fluorodeoxyglucose positron-emission tomography/computed tomography (18F-FDG PET/CT) with regard to programmed cell death ligand 1 (PD-L1) expression.
MATERIALS AND METHODS: PD-L1 expression was evaluated by immunohistochemistry with the antibody clone SP142 in 263 patients with surgically resected primary small-sized lung cancer. Specimens with <5% tumor membrane staining were considered negative. We examined the association between the frequency of PD-L1 expression and the maximum standardized uptake value (SUVmax) in preoperative 18F-FDG PET/CT.
RESULTS: Among patients with non-small cell lung cancer (NSCLC), the SUVmax was significantly higher in those with PD-L1 expression than in those without (p<0.0001). However, there was no correlation between SUVmax and PD-L1 expression in patients with neuroendocrine tumors (p=0.9638). Multivariate analysis revealed that smoking and a high SUVmax were independent predictors of PD-L1 expression.
CONCLUSION: PD-L1 expression was related to high glucose metabolism in small-sized NSCLC. Copyright
© 2017, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  FDG; PD-L1; PET/CT; SUVmax; small-sized lung cancer

Mesh:

Substances:

Year:  2017        PMID: 29187498     DOI: 10.21873/anticanres.12180

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  17 in total

1.  Relationship between the expression of PD-1/PD-L1 and 18F-FDG uptake in bladder cancer.

Authors:  Ruohua Chen; Xiang Zhou; Jianjun Liu; Gang Huang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-01-09       Impact factor: 9.236

2.  Association between PD-L1 expression and 18F-FDG uptake in ovarian cancer.

Authors:  Yun Jung Choi; KwanHyeong Jo; Sang Hyun Hwang; YongHyu Jeong; Jung-Yun Lee; Sunghoon Kim; Sang Wun Kim; Young Tae Kim; Won Jun Kang
Journal:  Ann Nucl Med       Date:  2021-03-03       Impact factor: 2.668

3.  The "digital biopsy" in non-small cell lung cancer (NSCLC): a pilot study to predict the PD-L1 status from radiomics features of [18F]FDG PET/CT.

Authors:  Lavinia Monaco; Elisabetta De Bernardi; Francesca Bono; Diego Cortinovis; Cinzia Crivellaro; Federica Elisei; Vincenzo L'Imperio; Claudio Landoni; Gregory Mathoux; Monica Musarra; Fabio Pagni; Elia Anna Turolla; Cristina Messa; Luca Guerra
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-04-11       Impact factor: 10.057

4.  Radiological Features of Programmed Cell Death-Ligand 2-positive Lung Adenocarcinoma: A Single-institution Retrospective Study.

Authors:  Kazuki Takada; Gouji Toyokawa; Koichi Azuma; Shinkichi Takamori; Tomoko Jogo; Fumihiko Hirai; Tetsuzo Tagawa; Akihiko Kawahara; Jun Akiba; Isamu Okamoto; Yoichi Nakanishi; Yoshinao Oda; Tomoaki Hoshino; Yoshihiko Maehara
Journal:  In Vivo       Date:  2018 Nov-Dec       Impact factor: 2.155

5.  Baseline metabolic tumor burden on FDG PET/CT scans predicts outcome in advanced NSCLC patients treated with immune checkpoint inhibitors.

Authors:  Romain-David Seban; Laura Mezquita; Arnaud Berenbaum; Laurent Dercle; Angela Botticella; Cécile Le Pechoux; Caroline Caramella; Eric Deutsch; Serena Grimaldi; Julien Adam; Samy Ammari; David Planchard; Sophie Leboulleux; Benjamin Besse
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-11-21       Impact factor: 9.236

6.  Association between 18F-FDG metabolic activity and programmed death ligand-1 (PD-L1) expression using 22C3 immunohistochemistry assays in non-small cell lung cancer (NSCLC) resection specimens.

Authors:  Long Zhao; Jinjun Liu; Huoqiang Wang; Jingyun Shi
Journal:  Br J Radiol       Date:  2021-01-25       Impact factor: 3.039

Review 7.  Progress and future prospective of FDG-PET/CT imaging combined with optimized procedures in lung cancer: toward precision medicine.

Authors:  Haoyue Guo; Kandi Xu; Guangxin Duan; Ling Wen; Yayi He
Journal:  Ann Nucl Med       Date:  2021-11-02       Impact factor: 2.668

8.  Liquid biopsy-based single-cell metabolic phenotyping of lung cancer patients for informative diagnostics.

Authors:  Ziming Li; Zhuo Wang; Yin Tang; Xiang Lu; Jie Chen; Yu Dong; Baojun Wu; Chunying Wang; Liu Yang; Zhili Guo; Min Xue; Shun Lu; Wei Wei; Qihui Shi
Journal:  Nat Commun       Date:  2019-08-26       Impact factor: 14.919

9.  Relationship between SP142 PD-L1 Expression and 18F-FDG Uptake in Non-Small-Cell Lung Cancer.

Authors:  Long Zhao; Jinjun Liu; Jingyun Shi; Huoqiang Wang
Journal:  Contrast Media Mol Imaging       Date:  2020-07-20       Impact factor: 3.161

Review 10.  Interpretation and visualization techniques for deep learning models in medical imaging.

Authors:  Daniel T Huff; Amy J Weisman; Robert Jeraj
Journal:  Phys Med Biol       Date:  2021-02-02       Impact factor: 3.609

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.