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Relationship of EGFR Mutation to Glucose Metabolic Activity and Asphericity of Metabolic Tumor Volume in Lung Adenocarcinoma

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Abstract

Purpose

EGFR-mutation (EGFR-mt) is a major oncogenic driver mutation in lung adenocarcinoma (ADC) and is more often observed in Asian population. In lung ADC, some radiomics parameters of FDG PET have been reported to be associated with EGFR-mt. Here, the associations between EGFR-mt and PET parameters, particularly asphericity (ASP), were evaluated in Asian population.

Methods

Lung ADC patients who underwent curative surgical resection as the first treatment were retrospectively enrolled. EGFR mutation was defined as exon 19 deletion and exon 21 point mutation and was evaluated using surgical specimens. On FDG PET, image parameters of maximal standardized uptake value (SUVmax), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and ASP were obtained. The parameters were compared between EGFR-mt and wild type (EGFR-wt) groups, and the relationships between these PET parameters and EGFR-mt were evaluated.

Results

A total of 64 patients (median age 66 years, M:F = 34:30) were included in the analysis, and 29 (45%) patients showed EGFR-mt. In EGFR-mt group, all the image parameters of SUVmax, MTV, TLG, and ASP were significantly lower than in EGFR-wt group (all adjusted P < 0.050). In univariable logistic regression, SUVmax (P = 0.003) and ASP (P = 0.010) were significant determinants for EGFR-mt, whereas MTV was not (P = 0.690). Multivariate analysis revealed that SUVmax and ASP are independent determinants for EGFR-mt, regardless of inclusion of MTV in the analysis (P < 0.05).

Conclusion

In Asian NSCLC/ADC patients, SUVmax, MTV, and ASP on FDG PET are significantly related to EGFR mutation status. Particularly, low SUVmax and ASP are independent determinants for EGFR-mt.

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References

  1. Midha A, Dearden S, McCormack R. EGFR mutation incidence in non-small-cell lung cancer of adenocarcinoma histology: a systematic review and global map by ethnicity (mutMapII). Am J Cancer Res. 2015;5:2892.

    PubMed  PubMed Central  Google Scholar 

  2. Takamochi K, Oh S, Matsunaga T, Suzuki K. Prognostic impacts of EGFR mutation status and subtype in patients with surgically resected lung adenocarcinoma. J Thorac Cardiovasc Surg. 2017;154:1768–74 e1.

    Article  CAS  Google Scholar 

  3. Apostolova I, Ego K, Steffen IG, Buchert R, Wertzel H, Achenbach HJ, et al. The asphericity of the metabolic tumour volume in NSCLC: correlation with histopathology and molecular markers. Eur J Nucl Med Mol Imaging. 2016;43:2360–73.

    Article  CAS  Google Scholar 

  4. Apostolova I, Rogasch J, Buchert R, Wertzel H, Achenbach HJ, Schreiber J, et al. Quantitative assessment of the asphericity of pretherapeutic FDG uptake as an independent predictor of outcome in NSCLC. BMC Cancer. 2014;14:896.

    Article  Google Scholar 

  5. Oliver JA, Budzevich M, Zhang GG, Dilling TJ, Latifi K, Moros EGJTo. Variability of image features computed from conventional and respiratory-gated PET/CT images of lung cancer. Transl Oncol. 2015;8:524–34.

    Article  Google Scholar 

  6. Huang C-T, Yen R-F, Cheng M-F, Hsu Y-C, Wei P-F, Tsai Y-J, et al. Correlation of F-18 fluorodeoxyglucose-positron emission tomography maximal standardized uptake value and EGFR mutations in advanced lung adenocarcinoma. Med Oncol. 2010;27:9–15.

    Article  CAS  Google Scholar 

  7. Cho A, Hur J, Moon YW, Hong SR, Suh YJ, Kim YJ, et al. Correlation between EGFR gene mutation, cytologic tumor markers, 18F-FDG uptake in non-small cell lung cancer. BMC Cancer. 2016;16:224.

    Article  Google Scholar 

  8. Usuda K, Sagawa M, Motono N, Ueno M, Tanaka M, Machida Y, et al. Relationships between EGFR mutation status of lung cancer and preoperative factors-are they predictive. Asian Pac J Cancer Prev. 2014;15:657–62.

    Article  Google Scholar 

  9. Putora PM, Früh M, Müller J. FDG-PET SUV-max values do not correlate with epidermal growth factor receptor mutation status in lung adenocarcinoma. Respirology. 2013;18:734–5.

    Article  Google Scholar 

  10. Pan L, Cheng J, Zhou M, Yao Z, Zhang Y. The SUVmax (maximum standardized uptake value for F-18 fluorodeoxyglucose) and serum squamous cell carcinoma antigen (SCC-ag) function as prognostic biomarkers in patients with primary cervical cancer. J Cancer Res Clin Oncol. 2012;138:239–46.

    Article  CAS  Google Scholar 

  11. Liang Y, Li X, Wan H, Fang Y, Zheng R, Zhang W, et al. Prognostic value of volume-based metabolic parameters obtained by 18F-FDG–PET/CT in patients with locally advanced squamous cell cervical carcinoma. J Comput Assist Tomogr. 2018;42:429–34.

    Article  Google Scholar 

  12. Hong JH, Min KJ, Lee JK, So KA, Jung US, Kim S, et al. Prognostic value of the sum of metabolic tumor volume of primary tumor and lymph nodes using 18F-FDG PET/CT in patients with cervical cancer. Medicine. 2016;95(9):e2992.

  13. Du S, Sun H, Gao S, Xin J, Lu Z. Metabolic parameters with different thresholds for evaluating tumor recurrence and their correlations with hematological parameters in locally advanced squamous cell cervical carcinoma: an observational 18F-FDG PET/CT study. Quant Imaging Med Surg. 2019;9:440.

    Article  Google Scholar 

  14. Chung HH, Kim JW, Han KH, Eo JS, Kang KW, Park N-H, et al. Prognostic value of metabolic tumor volume measured by FDG-PET/CT in patients with cervical cancer. Gynecol Oncol. 2011;120:270–4.

    Article  Google Scholar 

  15. Apostolova I, Steffen IG, Wedel F, Lougovski A, Marnitz S, Derlin T, et al. Asphericity of pretherapeutic tumour FDG uptake provides independent prognostic value in head-and-neck cancer. Eur Radiol. 2014;24:2077–87.

    Article  Google Scholar 

  16. Hofheinz F, Lougovski A, Zöphel K, Hentschel M, Steffen IG, Apostolova I, et al. Increased evidence for the prognostic value of primary tumor asphericity in pretherapeutic FDG PET for risk stratification in patients with head and neck cancer. Eur J Nucl Med Mol Imaging. 2015;42:429–37.

    Article  Google Scholar 

  17. Mak RH, Digumarthy SR, Muzikansky A, Engelman JA, Shepard J-AO, Choi NC, et al. Role of 18F-fluorodeoxyglucose positron emission tomography in predicting epidermal growth factor receptor mutations in non-small cell lung cancer. Oncologist. 2011;16:319–26.

    Article  CAS  Google Scholar 

  18. Byun BH, Kim KM, Cheon GJ, Choe DH, Koh JS, Lee DY, et al. 18F-FDG uptake and EGFR mutations in patients with non-small cell lung cancer: a single-institution retrospective analysis. Lung Cancer. 2010;67:76–80.

    Article  Google Scholar 

  19. Minamimoto R, Jamali M, Gevaert O, Echegaray S, Khuong A, Hoang CD, et al. Prediction of EGFR and KRAS mutation in non-small cell lung cancer using quantitative 18F FDG-PET/CT metrics. Oncotarget. 2017;8:52792.

    Article  Google Scholar 

  20. Park S, Ha S, Lee S-H, Paeng JC, Keam B, Kim TM, et al. Intratumoral heterogeneity characterized by pretreatment PET in non-small cell lung cancer patients predicts progression-free survival on EGFR tyrosine kinase inhibitor. PLoS One. 2018;13:e0189766.

    Article  Google Scholar 

  21. Caicedo C, Garcia-Velloso MJ, Lozano MD, Labiano T, Diaz CV, Lopez-Picazo JM, et al. Role of [18 F] FDG PET in prediction of KRAS and EGFR mutation status in patients with advanced non-small-cell lung cancer. Eur J Nucl Med Mol Imaging. 2014;41:2058–65.

    Article  CAS  Google Scholar 

  22. Zhang Y-L, Yuan J-Q, Wang K-F, Fu X-H, Han X-R, Threapleton D, et al. The prevalence of EGFR mutation in patients with non-small cell lung cancer: a systematic review and meta-analysis. Oncotarget. 2016;7:78985.

    Article  Google Scholar 

  23. Makinoshima H, Takita M, Matsumoto S, Yagishita A, Owada S, Esumi H, et al. Epidermal growth factor receptor (EGFR) signaling regulates global metabolic pathways in EGFR-mutated lung adenocarcinoma. J Biol Chem. 2014;289:20813–23.

    Article  CAS  Google Scholar 

  24. Qiu W, Schönleben F, Li X, Ho DJ, Close LG, Manolidis S, et al. PIK3CA mutations in head and neck squamous cell carcinoma. Clin Cancer Res. 2006;12:1441–6.

    Article  CAS  Google Scholar 

  25. Momcilovic M, Bailey ST, Lee JT, Fishbein MC, Magyar C, Braas D, et al. Targeted inhibition of EGFR and glutaminase induces metabolic crisis in EGFR mutant lung cancer. Cell Rep. 2017;18:601–10.

    Article  CAS  Google Scholar 

  26. Kerr EM, Martins CP. Metabolic rewiring in mutant Kras lung cancer. FEBS J. 2018;285:28–41.

    Article  CAS  Google Scholar 

  27. Chen L, Zhou Y, Tang X, Yang C, Tian Y, Xie R, et al. EGFR mutation decreases FDG uptake in non-small cell lung cancer via the NOX4/ROS/GLUT1 axis. Int J Oncol. 2019;54:370–80.

    PubMed  Google Scholar 

  28. Steuer CE, Behera M, Berry L, Kim S, Rossi M, Sica G, et al. Role of race in oncogenic driver prevalence and outcomes in lung adenocarcinoma: results from the lung Cancer mutation consortium. Cancer. 2016;122:766–72.

    Article  CAS  Google Scholar 

  29. Yip S, McCall K, Aristophanous M, Chen AB, Aerts HJ, Berbeco R. Comparison of texture features derived from static and respiratory-gated PET images in non-small cell lung cancer. PLoS One. 2014;9:e115510.

    Article  Google Scholar 

  30. Grootjans W, Tixier F, van der Vos CS, Vriens D, Le Rest CC, Bussink J, et al. The impact of optimal respiratory gating and image noise on evaluation of intratumor heterogeneity on 18F-FDG PET imaging of lung cancer. J Nucl Med. 2016;57:1692–8.

    Article  Google Scholar 

  31. Meißner S, Janssen J-C, Prasad V, Brenner W, Diederichs G, Hamm B, et al. Potential of asphericity as a novel diagnostic parameter in the evaluation of patients with 68 Ga-PSMA-HBED-CC PET-positive prostate cancer lesions. EJNMMI Res. 2017;7:85.

    Article  Google Scholar 

  32. Berghmans T, Dusart M, Paesmans M, Hossein-Foucher C, Buvat I, Castaigne C, et al. Primary tumor standardized uptake value (SUVmax) measured on fluorodeoxyglucose positron emission tomography (FDG-PET) is of prognostic value for survival in non-small cell lung cancer (NSCLC): a systematic review and meta-analysis (MA) by the European lung Cancer working party for the IASLC lung Cancer staging project. J Thorac Oncol. 2008;3:6–12.

    Article  Google Scholar 

  33. Higashi K, Ueda Y, Arisaka Y, Sakuma T, Nambu Y, Oguchi M, et al. 18F-FDG uptake as a biologic prognostic factor for recurrence in patients with surgically resected non–small cell lung cancer. J Nucl Med. 2002;43:39–45.

    PubMed  Google Scholar 

  34. Kuan F-C, Kuo L-T, Chen M-C, Yang C-T, Shi C-S, Teng D, et al. Overall survival benefits of first-line EGFR tyrosine kinase inhibitors in EGFR-mutated non-small-cell lung cancers: a systematic review and meta-analysis. Br J Cancer. 2015;113:1519–28.

    Article  CAS  Google Scholar 

  35. Yang B, Wang QG, Lu M, Ge Y, Zheng YJ, Zhu H, et al. Correlations study between 18F-FDG PET/CT metabolic parameters predicting epidermal growth factor receptor mutation status and prognosis in lung adenocarcinoma. Front Oncol. 2019;9.

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Correspondence to Seunggyun Ha or Jin Chul Paeng.

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Conflict of Interest

Wonseok Whi, Seunggyun Ha, Sungwoo Bae, Hongyoon Choi, Jin Chul Paeng, Gi Jeong Cheon, Keon Wook Kang, and Dong Soo Lee declare that there is no conflict of interest. There is no source of funding.

Ethical Statement

All procedures followed were performed in accordance with the ethical standards of the responsible committee on human experimentation and with the Helsinki Declaration of 1975, as revised in 2013. The study design of the retrospective analysis and exemption of informed consent were approved by the Institutional Review Board of the Seoul National University Hospital (2001–146-1097). This manuscript has not been published before or is not under consideration for publication anywhere else and has been approved by all co-authors.

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Whi, W., Ha, S., Bae, S. et al. Relationship of EGFR Mutation to Glucose Metabolic Activity and Asphericity of Metabolic Tumor Volume in Lung Adenocarcinoma. Nucl Med Mol Imaging 54, 175–182 (2020). https://doi.org/10.1007/s13139-020-00646-7

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