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

Kasahara, Norimitsu; Kaira, Kyoichi; Bao, Pinjie; Higuchi, Tetsuya; Arisaka, Yukiko; Erkhem-Ochir, Bilguun; Sunaga, Noriaki; Ohtaki, Yoichi; Yajima, Toshiki; Kosaka, Takayuki; Oyama, Tetsunari; Yokobori, Takehiko; Asao, Takayuki; Nishiyama, Masahiko; Tsushima, Yoshito; Kuwano, Hiroyuki; Shimizu, Kimihiro; Mogi, Akira

doi:10.1016/j.lungcan.2018.03.001

Cited by 49 publications

(52 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The mechanism of FDG uptake within tumor cells is concerned with the presence of glucose metabolism, hypoxia, and angiogenesis [9][10][11]. The level of PD-L1 expression is associated with Glut1 and HIF-1α in patients with NSCLC [12,13]. Therefore, some studies attempt to search whether baseline 18 F-FDG PET-CT can provide useful information on the expression of checkpoint inhibitors in patients with NSCLC, in order to distinguish patients from the potential for prolonged benefits.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, some studies attempt to search whether baseline 18 F-FDG PET-CT can provide useful information on the expression of checkpoint inhibitors in patients with NSCLC, in order to distinguish patients from the potential for prolonged benefits. Indeed, there is a statistically significant association between tumor metabolic parameters on 18 F-FDG PET-CT and PD1/PD-L1 expression in resected tumor specimens [12][13][14]25]. Grizzi et al [26] found that almost all patients (n = 27) with SUV max ≤ 17.1 or SUV mean ≤ 8.3 on baseline PET had fast progression after 8 weeks immunotherapy.…”

Section: Discussionmentioning

confidence: 99%

“…The mechanism of FDG uptake within tumor cells is concerned with the presence of glucose metabolism, hypoxia, and angiogenesis [9][10][11]. The level of PD-L1 expression has been associated with that of glucose transporter 1 (Glut1) and hypoxia-inducible factor 1α (HIF-1α) in patients with NSCLC [12,13]. Lopci et al [14] found a direct association between SUV max and SUV mean with the expression of PD-1 (rho = 0.33; p = 0.017 and rho = 0.36; p = 0.009, respectively) in patients with NSCLC.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Tao

et al. 2020

Eur J Nucl Med Mol Imaging

View full text Add to dashboard Cite

Purpose Investigate whether 18 F-FDG PET-CT has the potential to predict the major pathologic response (MPR) to neoadjuvant sintilimab in resectable NSCLC patients, and the potential of sifting patients who probably benefit from immunotherapy. Methods Treatment-naive patients with resectable NSCLC (stage IA-IIIB) received two cycles of sintilimab (200 mg, intravenously, day 1 and 22). Surgery was performed between day 29 and 43. PET-CT was obtained at baseline and prior to surgery. The following lean body mass-corrected metabolic parameters were calculated by PET VCAR: SUL max , SUL peak , MTV, TLG, ΔSUL max %, ΔSUL peak %, ΔMTV%, ΔTLG%. PET responses were classified using PERCIST. The above metabolic information on FDG-PET was correlated with the surgical pathology. (Registration Number: ChiCTR-OIC-17013726).Results Thirty-six patients received 2 doses of sintilimab, all of whom underwent PET-CT twice and had radical resection (35) or biopsy (1). MPR occurred in 13 of 36 resected tumors (36.1%, 13/36). The degree of pathological regression was positively correlated with SUL max (p = 0.036) of scan-1, and was negatively correlated with all metabolic parameters of scan-2, and the percentage changes of the metabolic parameters after neoadjuvant therapy (p < 0.05). According to PERCIST, 13 patients (36.1%, 13/36) showed partial metabolic response (PMR), 21 (58.3%, 21/36) had stable metabolic disease, and 2 (5.6%, 2/36) had progressive metabolic disease (PMD). There was a significant correlation between the pathological response and the PET responses which were classified using PERCIST. All (100.0%) the PMR (ΔSUL peak % < − 30.0%) tumors showed MPR. Conclusions 18 F-FDG PET-CT can predict MPR to neoadjuvant sintilimab in resectable non-small cell lung cancer.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Tao

et al. 2020

Eur J Nucl Med Mol Imaging

View full text Add to dashboard Cite

show abstract

“…Programmed death ligand‐1 expression was evaluated as positive when membrane staining was observed. A semi‐quantitative scoring method was used for PD‐L1based on a previous study: 1 ≤ 1%, 2 = 1%‐5%, 3 = 6%‐10%, 4 = 11%‐25%, 5 = 26%‐50% and 6 ≥ 50% of positive cells 25 . Tumors with a score ≥3 were graded as high PD‐L1 expression.…”

Section: Methodsmentioning

confidence: 99%

“…Overexpression of glucose transporter 1 (GLUT1) is reported to be significantly correlated with 18 F‐FDG uptake in human cancers 24 . Recent studies have shown that PD‐L1 expression in tumor cells is closely correlated with the uptake of 18 F‐FDG and GLUT1 expression in patients with non–small‐cell lung cancer 25,26 . Heiden et al 27 used genome‐wide expression analyses and demonstrated that esophageal adenocarcinoma tumors with high FDG uptake are significantly associated with PD‐L1 expression.…”

Section: Introductionmentioning

confidence: 99%

Uptake of positron emission tomography tracers reflects the tumor immune status in esophageal squamous cell carcinoma

et al. 2020

Self Cite

View full text Add to dashboard Cite

The relationship between the local immune status and cancer metabolism regarding 18F‐FDG and 18F‐FAMT uptake in esophageal squamous cell carcinoma (ESCC) remains unknown. The present study examined the correlations between tumor immune status, clinicopathological factors, and positron emission tomography (PET) tracer uptake in ESCC. Forty‐one ESCC patients who underwent 18F‐FDG PET and 18F‐FAMT PET before surgery were enrolled in the study. Immunohistochemistry was conducted for programmed death 1 (PD‐1), CD8, Ki‐67, CD34, GLUT1 (18F‐FDG transporter) and LAT1 (18F‐FAMT transporter). ESCC specimens with high tumoral PD‐L1 and high CD8‐positive lymphocytes were considered to have “hot tumor immune status.” High PD‐L1 expression (53.7%) was significantly associated with tumor/lymphatic/venous invasion (P = 0.028, 0.032 and 0.018), stage (P = 0.041), CD8‐positive lymphocytes (P < 0.001), GLUT1 (P < 0.001), LAT1 expression (P = 0.006), Ki‐67 labelling index (P = 0.009) and CD34‐positive vessel counts (P < 0.001). SUVmax of 18F‐FDG was significantly higher in high PD‐L1 cases than in low PD‐L1 cases (P = 0.009). SUVmax of 18F‐FAMT was significantly higher in high PD‐L1 (P < 0.001), high CD8 (P = 0.012) and hot tumor groups (P = 0.028) than in other groups. High SUVmax of 18F‐FAMT (≥4.15) was identified as the only predictor of hot tumor immune status. High PET tracer uptake was significantly associated with cancer aggressiveness and hot tumor immune status in ESCC. PET imaging may be an effective tool to predict tumor immune status in ESCC with respect to immune checkpoint inhibitor sensitivity.

show abstract

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

et al. 2020

View full text Add to dashboard Cite

BackgroundIt is unclear whether clinical factors and immune microenvironment (IME) factors are associated with tumor mutation burden (TMB) in patients with nonsmall cell lung cancer (NSCLC).Materials and methodsWe assessed TMB in surgical tumor specimens by performing whole exome sequencing. IME profiles, including PD‐L1 tumor proportion score (TPS), stromal CD8 tumor‐infiltrating lymphocyte (TIL) density, and stromal Foxp3 TIL density, were quantified by digital pathology using a machine learning algorithm. To detect factors associated with TMB, clinical data, and IME factors were assessed by means of a multiple regression model.ResultsWe analyzed tumors from 200 of the 246 surgically resected NSCLC patients between September 2014 and September 2015. Patient background: median age (range) 70 years (39‐87); male 37.5%; smoker 27.5%; pathological stage (p‐stage) I/II/III, 63.5/22.5/14.0%; histological type Ad/Sq, 77.0/23.0%; primary tumor location upper/lower, 58.5/41.5%; median PET SUV 7.5 (0.86‐29.8); median serum CEA (sCEA) level 3.4 ng/mL (0.5‐144.3); median serum CYFRA 21‐1 (sCYFRA) level 1.2 ng/mL (1.0‐38.0); median TMB 2.19/ Mb (0.12‐64.38); median PD‐L1 TPS 15.1% (0.09‐77.4); median stromal CD8 TIL density 582.1/mm2 (120.0‐4967.6);, and median stromal Foxp3 TIL density 183.7/mm2 (6.3‐544.0).The multiple regression analysis identified three factors associated with higher TMB: smoking status: smoker, increase PET SUV, and sCEA level: >5 ng/mL (P < .001, P < .001, and P = .006, respectively).ConclusionsThe IME factors assessed were not associated with TMB, but our findings showed that, in addition to smoking, PET SUV and sCEA levels may be independent predictors of TMB. TMB and IME factors are independent factors in resected NSCLC.

show abstract

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

Cited by 49 publications

References 31 publications

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

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

Uptake of positron emission tomography tracers reflects the tumor immune status in esophageal squamous cell carcinoma

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

Contact Info

Product

Resources

About