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Research ArticleClinical Studies

Associations Between PET Textural Features and GLUT1 Expression, and the Prognostic Significance of Textural Features in Lung Adenocarcinoma

YOUNG WHA KOH, SEONG YONG PARK, SEUNG HYUP HYUN and SU JIN LEE
Anticancer Research February 2018, 38 (2) 1067-1071;
YOUNG WHA KOH
1Department of Pathology, Ajou University School of Medicine, Suwon, Republic of Korea
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SEONG YONG PARK
2Department of Thoracic and Cardiovascular Surgery, College of Medicine, Yonsei University, Seoul, Republic of Korea
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SEUNG HYUP HYUN
3Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
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SU JIN LEE
4Department of Nuclear Medicine, Ajou University School of Medicine, Suwon, Republic of Korea
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  • For correspondence: suesj202@ajou.ac.kr
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Abstract

Background/Aim: We evaluated the association between positron emission tomography (PET) textural features and glucose transporter 1 (GLUT1) expression level and further investigated the prognostic significance of textural features in lung adenocarcinoma. Patients and Methods: We evaluated 105 adenocarcinoma patients. We extracted texture-based PET parameters of primary tumors. Conventional PET parameters were also measured. The relationships between PET parameters and GLUT1 expression levels were evaluated. The association between PET parameters and overall survival (OS) was assessed using Cox's proportional hazard regression models. Results: In terms of PET textural features, tumors expressing high levels of GLUT1 exhibited significantly lower coarseness, contrast, complexity, and strength, but significantly higher busyness. On univariate analysis, the metabolic tumor volume, total lesion glycolysis, contrast, busyness, complexity, and strength were significant predictors of OS. Multivariate analysis showed that lower complexity (HR=2.017, 95%CI=1.032-3.942, p=0.040) was independently associated with poorer survival. Conclusion: PET textural features may aid risk stratification in lung adenocarcinoma patients.

  • Non-small cell lung cancer
  • adenocarcinoma
  • positron emission tomography
  • texture analysis
  • glucose transporter 1

Non-small cell lung cancer (NSCLC) accounts for 85% of all lung cancers and is the leading cause of cancer-related death (1). NSCLC is a heterogeneous disease, including both adenocarcinomas and squamous cell carcinomas. The biological behaviors and treatment-related outcomes of adenocarcinomas and squamous cell carcinomas differ (2, 3). Adenocarcinoma is the most common subtype of NSCLC and patients with early-stage lung adenocarcinomas exhibit a broad prognostic spectrum. Although recent advances in targeted therapy are impressive, survival rates remain unsatisfactory.

18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) is widely used for staging NSCLC, to assess treatment response, and to predict prognosis (4-6). The glucose transporter 1 (GLUT1) plays an important role in FDG transport; FDG-PET assesses tumor metabolism in a noninvasive manner. A previous study suggested that the significance to be attributed to FDG accumulation varied by NSCLC histology in terms of tumor glucose metabolism and estimation of prognosis (7). Elevated GLUT1 expression correlated with high-level FDG uptake by lung adenocarcinomas but not squamous cell carcinomas (8, 9). High-level FDG uptake by the primary tumor was associated with poor prognoses of early-stage lung adenocarcinoma patients (10, 11). Therefore, the utility of PET may differ depending on NSCLC histology.

Recently, textural analysis of PET data has emerged as a new tool for assessing intratumoral heterogeneity. Increasing evidence suggests that heterogeneity evidenced by FDG-PET is associated with diagnosis of malignancy and/or poor prognosis (12, 13). Several studies showed that quantitative imaging features may predict the prognosis of NSCLC patients (14-16). One study found that adenocarcinomas and squamous cell carcinomas differed in terms of metabolic heterogeneity (17). Thus, we hypothesized that the GLUT1 expression level might affect the PET textural features of lung adenocarcinoma. We investigated the association between GLUT1 expression levels and PET textural features in lung adenocarcinoma patients, and the prognostic utility of textural features.

Patients and Methods

Patients. We reviewed the medical records of 139 consecutive lung cancer patients with adenocarcinomas who underwent FDG-PET/CT prior to surgical resection between January 2009 and December 2013 at Ajou University Hospital, Suwon, South Korea. We excluded 34 patients with tumor diameters <2 cm because their spatial resolutions were limited, creating partial-volume effects when PET imaging was used to explore tracer distribution. Ultimately, we included a total of 105 adenocarcinoma patients. For comparative purposes, we also reviewed the PET images of 70 stage-matched squamous cell carcinoma patients. This retrospective study was approved by the Ethics Committee of our institution and, given the nature of the work, the requirement for informed consent was waived.

FDG PET/CT protocol. FDG-PET/CT was performed using a Discovery STE scanner (GE Healthcare, Milwaukee, WI, USA). All patients fasted for at least 6 h prior to scanning; all serum glucose levels at the time of FDG injection were <150 mg/dl. Unenhanced CT was performed 60 min after the injection of 5 MBq/kg FDG, using 16-slice helical CT (120 keV; 30-100 mA in the AutomA mode; section width 3.75 mm). Emission PET data were acquired from the thigh to the head at 3.0 min/frame in the three-dimensional mode. Attenuation-corrected PET images derived from the CT data were reconstructed with the aid of an ordered-subset, expectation maximization algorithm (20 subsets, 2 iterations).

FDG PET image analysis. PET textural analysis has been described in detail in a previous report (18). To delineate tumors, we used the gradient-based segmentation method (‘PET Edge’) of MIM version 6.4 software (MIM Software Inc., Cleveland, OH, USA). Textural analysis quantifying PET-revealed intratumoral heterogeneity was performed with the aid of the Chang-Gung Image Texture Analysis toolbox (CGITA, http://code.google.com/p/cigita); this is an open-source software package implemented in MATLAB (version 2012a; MathWorks Inc., Natick, MA, USA) (19). Of the many textural matrices available in CGITA, we employed principally the neighborhood gray-tone difference matrices (NGTDMs); coarseness, contrast, busyness, complexity and strength. Conventional PET parameters of primary tumors, including the maximum SUV, the metabolic tumor volume (MTV), and total lesion glycolysis (TLG), were also measured.

Histopathological analysis and immunohistochemistry. Histological subclassification was performed by a single pathologist (YWK) using the IASLC/ATS/ERS classifications (20). A representative tumor-section paraffin block (a donor block) was selected for each case, and two 2-mm-diameter tumor cores were obtained using a trephine apparatus. The trephinated paraffin cores were placed in plastic molds, which were then filled with liquid paraffin and cooled. An automatic immunohistochemical staining device (Benchmark XT; Ventana Medical Systems, Tucson, AZ, USA) was used to stain formalin-fixed, paraffin-embedded tissue sections. Briefly, 5-μm-thick sections were transferred to poly-L-lysine-coated adhesive slides and dried at 62°C for 30 min. After standard epitope retrieval for 30 min in ethylenediaminetetraacetic acid (pH 8.0) in the autostainer, the samples were incubated with a rabbit polyclonal antibody against cleaved GLUT1 (dilution 1:100; Cell Marque, Rocklin, CA, USA); subsequently incubated with biotinylated anti-mouse immunoglobulin, peroxidase-conjugated streptavidin (LSAB kit, DAKO, Glostrup, Denmark), and 3,3’-diaminobenzidine; and then counterstained with Harris' hematoxylin. GLUT1 expression levels (percentages) were measured.

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Table I.

Clinical characteristics of 105 patients.

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Table II.

Difference of PET parameters according to GLUT1 expression.

Statistical analysis. Differences between the two groups were compared using the unpaired t-test for continuous variables. The variables included in the survival analysis were age, sex, pathological tumor stage, pathological node stage, American Joint Committee on Cancer (AJCC) stage, treatment modality, conventional PET parameters, and NGTDM parameters derived from FDG-PET. In statistical analyses, continuous variables were grouped into two categories by reference to the median values, with the exception of age. Overall survival (OS) was used as a measure of patient outcome and was defined as the period from initial diagnosis to death from any cause. Survival curves were estimated using the Kaplan-Meier method, and differences between the two groups were compared using the log-rank test.

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Table III.

Univariate and multivariate Cox regression analysis for overall survival using PET parameters.

Results

Patient characteristics. The demographic data of the 105 adenocarcinoma patients are listed in Table I. Sixty-three patients (60.0%) were male and 42 (40.0%) were female, with a median age of 62 years. Most primary tumors (92.4%) were of stage T2. The mean tumor diameter was 3.9±1.7 cm. Of all patients, 43 (40.9%), 25 (23.8%), and 37 (34.3%) were of stages I, II, and III, respectively. Sixty patients (57.1%) underwent adjuvant chemotherapy or radiotherapy after surgical treatment. The median follow-up time was 39.4 months.

Association between GLUT1 expression and PET parameters. Significant correlations were evident between the GLUT1 expression level and the MTV (r=0.273, p=0.005), coarseness (r=−0.266, p=0.006), and busyness (r=0.262, p=0.007). No significant association was apparent between GLUT1 expression level and any of SUVmax, TLG, contrast, complexity, or strength.

We divided the tumors into two groups (exhibiting low- and high-level GLUT1 expression) using the median GLUT1 expression level (50%). Table II summarizes differences in the PET parameters of the two groups. Some NGTDMs and conventional PET parameters differed significantly between the groups. Tumors expressing high levels of GLUT1 exhibited significantly higher SUVmax, MTV, and TLG values than tumors expressing low levels of GLUT1. Of the NGTDM parameters, tumors expressing high levels of GLUT1 exhibited significantly lower coarseness, contrast, complexity, and strength, but significantly higher busyness, than tumors expressing low levels of GLUT1.

Survival analysis. At the time of study completion, 41 patients (39.0%) had deceased. On univariate analysis, MTV, TLG, contrast, busyness, complexity, and strength were significant predictors of OS (Table III). After adjusting for age, AJCC stage, and prescription of adjuvant therapy, multivariate analysis showed that lower complexity (HR=2.017, 95%CI=1.032-3.942, p=0.040) was independently associated with poorer survival. The Kaplan-Meier curve showed that survival was significantly poorer in patients with tumors of lower complexity (<44; Figure 1).

Patients with tumors expressing high levels of GLUT1 had a lower OS than those with tumors expressing low levels of GLUT1 (p=0.004). When compared with overall stage-matched squamous cell carcinoma patients (n=70), patients with adenocarcinomas of high complexity showed a better prognosis than squamous cell carcinoma patients; adenocarcinomas of low complexity were associated with the poorest prognosis (Figure 2).

Discussion

Several studies evaluated the clinical significance of PET textural features in NSCLC patients (14-17); however, few studies evaluated lung adenocarcinoma as distinct from all histological types of NSCLC. Our study is important because accumulating evidence suggests that glucose metabolism differs between adenocarcinomas and squamous cell carcinomas in NSCLC patients (7, 9, 21). We included 105 adenocarcinoma patients who underwent surgery, and evaluated the prognostic significance of local textural features derived from NGTDMs, which evaluate differences between each voxel and neighboring voxels on adjacent image planes, thus functioning in a manner very similar to human perception of the image (22). We hypothesized that GLUT1 expression levels might affect local textural features, and found that the expression level was weakly associated with the coarseness and busyness of lung adenocarcinomas. In addition, tumors expressing high levels of GLUT1 differed significantly in terms of textural features and metabolic parameters from tumors expressing low levels of GLUT1. Thus, spatial heterogeneity of FDG uptake, directly associated with GLUT1 expression within a tumor, may contribute to the development of local textural features.

Figure 1.
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Figure 1.

Kaplan-Meir survival curve for overall survival according to complexity. Median was used to the determine cut-off.

We found that the complexity of local textural features was independently associated with the OS of lung adenocarcinoma patients although no PET textural features have been widely accepted for lung cancer yet. Our results support the suggestion that intratumoral heterogeneity measured via PET textural analysis is associated with survival. Interestingly, patients with adenocarcinomas of high complexity survived better than did squamous cell carcinoma patients, and those with adenocarcinomas of low complexity had the poorest prognosis. Thus, evaluation of PET textural features may improve risk stratification of NSCLC patients.

Our study had several limitations. The work was retrospective in nature and the patients had cancers of various stages, although all underwent surgical resection with or without adjuvant treatment. We did not include the status of epidermal growth factor receptor mutations to the analysis due to the unavailability of the data for the whole cohort of patients.

Figure 2.
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Figure 2.

Overall survival according to histological subtype and complexity in adenocarcinoma. AD: Adenocarcinoma; SQ: squamous cell carcinoma.

Conclusion

GLUT1 expression level may influence local PET textural features. Intratumoral heterogeneity as assessed via PET textural analysis may improve risk stratification of patients with lung adenocarcinomas.

Acknowledgements

This study was supported by Basic Science Research Program through the National Research Foundations of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF-2016R1C1B2011583).

  • Received November 20, 2017.
  • Revision received November 27, 2017.
  • Accepted November 28, 2017.
  • Copyright© 2018, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved

References

  1. ↵
    1. Torre LA,
    2. Bray F,
    3. Siegel RL,
    4. Ferlay J,
    5. Lortet-Tieulent J,
    6. Jemal A
    : Global cancer statistics, 2012. CA Cancer J Clin 65: 87-108, 2015.
    OpenUrlCrossRefPubMed
  2. ↵
    1. Hirsch FR,
    2. Spreafico A,
    3. Novello S,
    4. Wood MD,
    5. Simms L,
    6. Papotti M
    : The prognostic and predictive role of histology in advanced non-small cell lung cancer: a literature review. J Thorac Oncol 3: 1468-1481, 2008.
    OpenUrlCrossRefPubMed
  3. ↵
    1. Larsen JE,
    2. Minna JD
    : Molecular biology of lung cancer: clinical implications. Clin Chest Med 32: 703-740, 2011.
    OpenUrlCrossRefPubMed
  4. ↵
    1. Hyun SH,
    2. Ahn HK,
    3. Ahn MJ,
    4. Ahn YC,
    5. Kim J,
    6. Shim YM,
    7. Choi JY
    : Volume-based assessment with 18F-FDG PET/CT improves outcome prediction for patients with stage IIIA-N2 non-small cell lung cancer. AJR Am J Roentgenol 205: 623-628, 2015.
    OpenUrlPubMed
    1. Burger IA,
    2. Casanova R,
    3. Steiger S,
    4. Husmann L,
    5. Stolzmann P,
    6. Huellner MW,
    7. Curioni A,
    8. Hillinger S,
    9. Schmidtlein CR,
    10. Soltermann A
    : 18F-FDG PET/CT of non-small cell lung carcinoma under neoadjuvant chemotherapy: background-based adaptive-volume metrics outperform TLG and MTV in predicting histopathologic response. J Nucl Med 57: 849-854, 2016.
    OpenUrlAbstract/FREE Full Text
  5. ↵
    1. Cho J,
    2. Choe JG,
    3. Pahk K,
    4. Choi S,
    5. Kwon HR,
    6. Eo JS,
    7. Seo HJ,
    8. Kim C,
    9. Kim S
    : Ratio of mediastinal lymph node SUV to primary tumor SUV in 18F-FDG PET/CT for nodal staging in non-small-cell lung cancer. Nucl Med Mol Imaging 51: 140-146, 2017.
    OpenUrlPubMed
  6. ↵
    1. Schuurbiers OC,
    2. Meijer TW,
    3. Kaanders JH,
    4. Looijen-Salamon MG,
    5. de Geus-Oei LF,
    6. van der Drift MA,
    7. van der Heijden EH,
    8. Oyen WJ,
    9. Visser EP,
    10. Span PN,
    11. Bussink J
    : Glucose metabolism in NSCLC is histology-specific and diverges the prognostic potential of 18FDG-PET for adenocarcinoma and squamous cell carcinoma. J Thorac Oncol 9: 1485-1493, 2014.
    OpenUrlCrossRefPubMed
  7. ↵
    1. Choi WH,
    2. Yoo Ie R,
    3. O JH,
    4. Kim TJ,
    5. Lee KY,
    6. Kim YK
    : Is the Glut expression related to FDG uptake in PET/CT of non-small cell lung cancer patients? Technol Health Care 23: S311-318, 2015.
    OpenUrlAbstract/FREE Full Text
  8. ↵
    1. Koh YW,
    2. Lee SJ,
    3. Park SY
    : Differential expression and prognostic significance of GLUT1 according to histologic type of non-small-cell lung cancer and its association with volume-dependent parameters. Lung Cancer 104: 31-37, 2017.
    OpenUrlCrossRefPubMed
  9. ↵
    1. Murakami S,
    2. Saito H,
    3. Sakuma Y,
    4. Kondo T,
    5. Oshita F,
    6. Ito H,
    7. Tsuboi M,
    8. Hasegawa C,
    9. Yokose T,
    10. Kameda Y,
    11. Nakayama H,
    12. Yamada K
    : Prognostic value of preoperative FDG-PET in stage IA lung adenocarcinoma. Eur J Radiol 81: 1891-1895, 2012.
    OpenUrlCrossRefPubMed
  10. ↵
    1. Shimizu K,
    2. Maeda A,
    3. Yukawa T,
    4. Nojima Y,
    5. Saisho S,
    6. Okita R,
    7. Nakata M
    : Difference in prognostic values of maximal standardized uptake value on fluorodeoxyglucose-positron emission tomography and cyclooxygenase-2 expression between lung adenocarcinoma and squamous cell carcinoma. World J Surg Oncol 12: 343, 2014.
    OpenUrlPubMed
  11. ↵
    1. Hyun SH,
    2. Kim HS,
    3. Choi SH,
    4. Choi DW,
    5. Lee JK,
    6. Lee KH,
    7. Park JO,
    8. Lee KH,
    9. Kim BT,
    10. Choi JY
    : Intratumoral heterogeneity of (18)F-FDG uptake predicts survival in patients with pancreatic ductal adenocarcinoma. Eur J Nucl Med Mol Imaging 43: 1461-1468, 2016.
    OpenUrlCrossRefPubMed
  12. ↵
    1. Choi JW,
    2. Lee D,
    3. Hyun SH,
    4. Han M,
    5. Kim JH,
    6. Lee SJ
    : Intratumoural heterogeneity measured using FDG PET and MRI is associated with tumour-stroma ratio and clinical outcome in head and neck squamous cell carcinoma. Clin Radiol 72: 482-489, 2017.
    OpenUrlPubMed
  13. ↵
    1. Cook GJ,
    2. Yip C,
    3. Siddique M,
    4. Goh V,
    5. Chicklore S,
    6. Roy A,
    7. Marsden P,
    8. Ahmad S,
    9. Landau D
    : Are pretreatment 18F-FDG PET tumor textural features in non-small cell lung cancer associated with response and survival after chemoradiotherapy? J Nucl Med 54: 19-26, 2013.
    OpenUrlAbstract/FREE Full Text
    1. Lovinfosse P,
    2. Janvary ZL,
    3. Coucke P,
    4. Jodogne S,
    5. Bernard C,
    6. Hatt M,
    7. Visvikis D,
    8. Jansen N,
    9. Duysinx B,
    10. Hustinx R
    : FDG PET/CT texture analysis for predicting the outcome of lung cancer treated by stereotactic body radiation therapy. Eur J Nucl Med Mol Imaging 43: 1453-1460, 2016.
    OpenUrlPubMed
  14. ↵
    1. Wu J,
    2. Aguilera T,
    3. Shultz D,
    4. Gudur M,
    5. Rubin DL,
    6. Loo BW Jr..,
    7. Diehn M,
    8. Li R
    : Early-stage non-small cell lung cancer: quantitative imaging characteristics of (18)F fluorodeoxyglucose PET/CT allow prediction of distant metastasis. Radiology 281: 270-278, 2016.
    OpenUrlCrossRefPubMed
  15. ↵
    1. Ha S,
    2. Choi H,
    3. Cheon GJ,
    4. Kang KW,
    5. Chung JK,
    6. Kim EE,
    7. Lee DS
    : Autoclustering of non-small cell lung carcinoma subtypes on (18)F-FDG PET using texture analysis: a preliminary result. Nucl Med Mol Imaging 48: 278-286, 2014.
    OpenUrlPubMed
  16. ↵
    1. Hyun SH,
    2. Kim HS,
    3. Choi SH,
    4. Choi DW,
    5. Lee JK,
    6. Lee KH,
    7. Park JO,
    8. Lee KH,
    9. Kim BT,
    10. Choi JY
    : Intratumoral heterogeneity of F-FDG uptake predicts survival in patients with pancreatic ductal adenocarcinoma. Eur J Nucl Med Mol Imaging 43: 1461-1468, 2016.
    OpenUrlCrossRefPubMed
  17. ↵
    1. Fang YH,
    2. Lin CY,
    3. Shih MJ,
    4. Wang HM,
    5. Ho TY,
    6. Liao CT,
    7. Yen TC
    : Development and evaluation of an open-source software package “CGITA” for quantifying tumor heterogeneity with molecular images. Biomed Res Int 2014: 248505, 2014.
    OpenUrlPubMed
  18. ↵
    1. Travis WD,
    2. Brambilla E,
    3. Noguchi M,
    4. Nicholson AG,
    5. Geisinger KR,
    6. Yatabe Y,
    7. Beer DG,
    8. Powell CA,
    9. Riely GJ,
    10. Van Schil PE
    : International association for the study of lung cancer/american thoracic society/european respiratory society international multidisciplinary classification of lung adenocarcinoma. J ThoracOncol 6: 244-285, 2011.
    OpenUrl
  19. ↵
    1. Meijer TW,
    2. Schuurbiers OC,
    3. Kaanders JH,
    4. Looijen-Salamon MG,
    5. de Geus-Oei LF,
    6. Verhagen AF,
    7. Lok J,
    8. van der Heijden HF,
    9. Rademakers SE,
    10. Span PN,
    11. Bussink J
    : Differences in metabolism between adeno- and squamous cell non-small cell lung carcinomas: spatial distribution and prognostic value of GLUT1 and MCT4. Lung Cancer 76: 316-323, 2012.
    OpenUrlCrossRefPubMed
  20. ↵
    1. Al-Kadi OS
    : Assessment of texture measures susceptibility to noise in conventional and contrast enhanced computed tomography lung tumour images. Comput Med Imaging Graph 34: 494-503, 2010.
    OpenUrlPubMed
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Associations Between PET Textural Features and GLUT1 Expression, and the Prognostic Significance of Textural Features in Lung Adenocarcinoma
YOUNG WHA KOH, SEONG YONG PARK, SEUNG HYUP HYUN, SU JIN LEE
Anticancer Research Feb 2018, 38 (2) 1067-1071;

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Associations Between PET Textural Features and GLUT1 Expression, and the Prognostic Significance of Textural Features in Lung Adenocarcinoma
YOUNG WHA KOH, SEONG YONG PARK, SEUNG HYUP HYUN, SU JIN LEE
Anticancer Research Feb 2018, 38 (2) 1067-1071;
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