Literature DB >> 29656756

Correlation of tumor-related immunity with 18F-FDG-PET in pulmonary squamous-cell carcinoma.

Norimitsu Kasahara1, Kyoichi Kaira2, Pinjie Bao3, Tetsuya Higuchi4, Yukiko Arisaka4, Bilguun Erkhem-Ochir5, Noriaki Sunaga6, Yoichi Ohtaki3, Toshiki Yajima3, Takayuki Kosaka3, Tetsunari Oyama7, Takehiko Yokobori8, Takayuki Asao9, Masahiko Nishiyama10, Yoshito Tsushima4, Hiroyuki Kuwano3, Kimihiro Shimizu3, Akira Mogi3.   

Abstract

OBJECTIVES: 2-Deoxy-2-[fluorine-18] fluoro-d-glucose with positron emission tomography (18F-FDG-PET) is a clinically useful tool for cancer evaluation. 18F-FDG accumulation in tumor cells is known to be correlated with the presence of glucose transporter 1 (GLUT1) and hypoxia-inducible factor-1α (HIF-1α). Although anti-programmed death-1 (PD-1) antibody treatments have been approved, no suitable predictor of significant responders has been identified. Based on the existing information, we investigated the relationship between tumor immunity (including PD-L1) and 18F-FDG uptake in patients with surgically resected pulmonary squamous-cell carcinoma (SQC).
MATERIALS AND METHODS: This study included 167 patients (153 men and 14 women) with SQC who underwent 18F-FDG PET. Tumor sections were stained by immunohistochemistry for GLUT1, HIF-1α, PD-L1, CD4, CD8, and Foxp3. The relationship between clinicopathological features and 18F-FDG uptake was analyzed. Student's t-test, the χ2 test, non-parametric Spearman's rank test and the Kaplan-Meier method were used to show associations between variables.
RESULTS: The rate of positive PD-L1 expression was 79% (132/167), and PD-L1 expression was significantly associated with GLUT1 (P < 0.01), HIF-1α (P < 10-4), and CD8 (P < 1 × 10-3) expression. The SUVmax of 18F-FDG was significantly correlated with PD-L1 (P = 0.02) and GLUT1 (P < 0.01) expression. Multivariate analysis demonstrated that advanced stage, elevated PD-L1 expression, and elevated SUVmax were independent prognostic factors for predicting poor OS. Among patients with a high SUVmax, multivariate analysis confirmed that advanced stage and high PD-L1 expression were independent prognostic factors for poor OS; however, there was no significant difference among patients with a low SUVmax.
CONCLUSION: High SUVmax on 18F-FDG-PET is associated with PD-L1 expression but is an independent prognostic factor for OS in our population of surgically resected pulmonary squamous-cell carcinoma.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  (18)F-FDG-PET; GLUT1; HIF-1; Lung cancer; PD-L1; Squamous-cell carcinoma

Mesh:

Substances:

Year:  2018        PMID: 29656756     DOI: 10.1016/j.lungcan.2018.03.001

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  18 in total

1.  Interdependence of hypoxia and β-adrenergic receptor signaling in pulmonary arterial hypertension.

Authors:  Olivia R Stephens; Kelly Weiss; Matthew Frimel; Jonathan A Rose; Yu Sun; Kewal Asosingh; Samar Farha; Kristin B Highland; Sathyamangla V Naga Prasad; Serpil C Erzurum
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2019-06-26       Impact factor: 5.464

2.  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

3.  Anti PD-1 treatment increases [18F]FDG uptake by cancer cells in a mouse B16F10 melanoma model.

Authors:  Mayu Tomita; Hironobu Yasui; Kei Higashikawa; Kohei Nakajima; Hideo Takakura; Tohru Shiga; Yuji Kuge; Mikako Ogawa
Journal:  EJNMMI Res       Date:  2018-08-16       Impact factor: 3.138

4.  Assessment of associations between clinical and immune microenvironmental factors and tumor mutation burden in resected nonsmall cell lung cancer by applying machine learning to whole-slide images.

Authors:  Akira Ono; Yukihiro Terada; Takuya Kawata; Masakuni Serizawa; Mitsuhiro Isaka; Takanori Kawabata; Toru Imai; Keita Mori; Koji Muramatsu; Isamu Hayashi; Hirotsugu Kenmotsu; Keiichi Ohshima; Kenichi Urakami; Takeshi Nagashima; Masatoshi Kusuhara; Yasuto Akiyama; Takashi Sugino; Yasuhisa Ohde; Ken Yamaguchi; Toshiaki Takahashi
Journal:  Cancer Med       Date:  2020-05-12       Impact factor: 4.452

5.  Correlation Between von Hippel-Lindau Gene Expression and Tumor SUVmax and Survival Prognosis in Hepatocellular Carcinoma.

Authors:  Gen Li; Yong Shen; Fengchao Wang; Sun Hong; Ming Cai
Journal:  Med Sci Monit       Date:  2020-02-20

Review 6.  Value of 18F-FDG-PET to predict PD-L1 expression and outcomes of PD-1 inhibition therapy in human cancers.

Authors:  Kyoichi Kaira; Ichiei Kuji; Hiroshi Kagamu
Journal:  Cancer Imaging       Date:  2021-01-13       Impact factor: 3.909

7.  Response evaluation after immunotherapy in NSCLC: Early response assessment using FDG PET/CT.

Authors:  Sohyun Park; Youngjoo Lee; Tae-Sung Kim; Seok-Ki Kim; Ji-Youn Han
Journal:  Medicine (Baltimore)       Date:  2020-12-18       Impact factor: 1.817

8.  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

9.  18F-FDG uptake in PET/CT is a potential predictive biomarker of response to anti-PD-1 antibody therapy in non-small cell lung cancer.

Authors:  Kazuki Takada; Gouji Toyokawa; Yasuto Yoneshima; Kentaro Tanaka; Isamu Okamoto; Mototsugu Shimokawa; Sho Wakasu; Akira Haro; Atsushi Osoegawa; Tetsuzo Tagawa; Yoshinao Oda; Yoichi Nakanishi; Masaki Mori
Journal:  Sci Rep       Date:  2019-09-16       Impact factor: 4.379

10.  The efficiency of 18F-FDG PET-CT for predicting the major pathologic response to the neoadjuvant PD-1 blockade in resectable non-small cell lung cancer.

Authors:  Xiuli Tao; Ning Li; Ning Wu; Jie He; Jianming Ying; Shugeng Gao; Shuhang Wang; Jie Wang; Zhijie Wang; Yun Ling; Wei Tang; Zewei Zhang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-02-11       Impact factor: 9.236

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