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Temporalis muscle width as a measure of sarcopenia correlates with overall survival in patients with newly diagnosed glioblastoma

  • : Original Research
  • Published:
Journal of Radiation Oncology

Abstract

Objective

Sarcopenia has been shown to correlate with poor oncologic outcomes, but the optimal method to evaluate sarcopenia and its use as a prognostic tool in glioblastoma multiforme (GBM) remain unclear. We developed a method to reproducibly quantify sarcopenia using the temporalis muscle and correlated sarcopenia with overall survival (OS) in GBM patients.

Methods

We measured the temporalis muscle width (TMW) on the postoperative radiotherapy CT simulation scan of 87 newly diagnosed GBM patients from 2011 to 2016. All patients successfully completed standard of care radiotherapy to a dose of 6000 cGy in 30 fractions with concurrent temozolomide without treatment breaks. TMW was measured bilaterally on four axial CT slices defined by bony orbit anatomy: orbit ceiling, superior quarter (equidistant between orbit and mid-orbit), mid-orbit, and inferior quarter (equidistant between mid-orbit and orbit floor). For analysis, TMW was dichotomized to either wide or narrow TMW by the median TMW and correlated with OS using Cox regression models.

Results

TMW at the orbit inferior quarter significantly correlated with OS. Median OS for wide TMW (> 1.583 cm) was greater than that of narrow TMW: 28.3 mo vs. 22.2 mo (HR (wide/narrow) = 0.42, 95% CI = (0.22, 0.82), p = 0.01), controlling for resection type and MGMT methylation. This effect was pronounced especially in the following patient subsets: females (HR (wide/narrow) = 0.26, 95% CI = (0.07, 0.92), p = 0.04) and patients without MGMT methylation (HR = 0.35, 95% CI = (0.15, 0.81), p = 0.01).

Conclusion

Our results suggest sarcopenia and TMW correlate with GBM OS. Prospective validation of sarcopenia is needed to evaluate its potential in determining optimal patient treatment.

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References

  1. Thakkar JP et al (2014) Epidemiologic and molecular prognostic review of glioblastoma. Cancer Epidemiol Biomark Prev 23:1985–1996

    Article  CAS  Google Scholar 

  2. Stupp, R., Hegi, M. E. & Mason, W. P. Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial. 10, 8 (2009)

  3. Roa W, Brasher PM, Bauman G, Anthes M, Bruera E, Chan A, Fisher B, Fulton D, Gulavita S, Hao C, Husain S, Murtha A, Petruk K, Stewart D, Tai P, Urtasun R, Cairncross JG, Forsyth P (2004) Abbreviated course of radiation therapy in older patients with Glioblastoma Multiforme: a prospective randomized clinical trial. J Clin Oncol 22:1583–1588

    Article  CAS  Google Scholar 

  4. Roa W, Kepka L, Kumar N, Sinaika V, Matiello J, Lomidze D, Hentati D, Guedes de Castro D, Dyttus-Cebulok K, Drodge S, Ghosh S, Jeremić B, Rosenblatt E, Fidarova E (2015) International Atomic Energy Agency randomized phase III study of radiation therapy in elderly and/or frail patients with newly diagnosed Glioblastoma Multiforme. J Clin Oncol 33:4145–4150

    Article  Google Scholar 

  5. Malmström A, Grønberg BH, Marosi C, Stupp R, Frappaz D, Schultz H, Abacioglu U, Tavelin B, Lhermitte B, Hegi ME, Rosell J, Henriksson R, Nordic Clinical Brain Tumour Study Group (NCBTSG) (2012) Temozolomide versus standard 6-week radiotherapy versus hypofractionated radiotherapy in patients older than 60 years with glioblastoma: the nordic randomised, phase 3 trial. Lancet Oncol. 13:916–926

    Article  Google Scholar 

  6. Wick W, Platten M, Meisner C, Felsberg J, Tabatabai G, Simon M, Nikkhah G, Papsdorf K, Steinbach JP, Sabel M, Combs SE, Vesper J, Braun C, Meixensberger J, Ketter R, Mayer-Steinacker R, Reifenberger G, Weller M, NOA-08 Study Group of Neuro-oncology Working Group (NOA) of German Cancer Society (2012) Temozolomide chemotherapy alone versus radiotherapy alone for malignant astrocytoma in the elderly: the NOA-08 randomised, phase 3 trial. Lancet Oncol 13:707–715

    Article  CAS  Google Scholar 

  7. Perry JR, Laperriere N, O'Callaghan CJ, Brandes AA, Menten J, Phillips C, Fay M, Nishikawa R, Cairncross JG, Roa W, Osoba D, Rossiter JP, Sahgal A, Hirte H, Laigle-Donadey F, Franceschi E, Chinot O, Golfinopoulos V, Fariselli L, Wick A, Feuvret L, Back M, Tills M, Winch C, Baumert BG, Wick W, Ding K, Mason WP, Trial Investigators (2017) Short-course radiation plus temozolomide in elderly patients with Glioblastoma. N Engl J Med 376:1027–1037

    Article  CAS  Google Scholar 

  8. Li J et al (2011) Validation and simplification of the radiation therapy oncology group recursive partitioning analysis classification for glioblastoma. Int J Radiat Oncol 81:623–630

    Article  Google Scholar 

  9. Wang TJC, Wu CC, Jani A, Estrada J, Ung T, Chow DS, Soun JE, Saad S, Qureshi YH, Gartrell R, Saadatmand HJ, Saraf A, Garrett MD, Grubb C, Isaacson SR, Cheng SK, Sisti MB, Bruce JN, Sheth SA, Lassman AB, Iwamoto FM, McKhann GM 2nd (2016) Hypofractionated radiation therapy versus standard fractionated radiation therapy with concurrent temozolomide in elderly patients with newly diagnosed glioblastoma. Pract Radiat Oncol 6:306–314

    Article  Google Scholar 

  10. Aoyagi T, Terracina KP, Raza A, Matsubara H, Takabe K (2015) Cancer cachexia, mechanism and treatment. World J Gastrointest Oncol 7:17

    Article  Google Scholar 

  11. Caan BJ et al (2018) Association of muscle and adiposity measured by computed tomography with survival in patients with nonmetastatic breast cancer. JAMA Oncol 4:798

    Article  Google Scholar 

  12. Lieffers JR, Bathe OF, Fassbender K, Winget M, Baracos VE (2012) Sarcopenia is associated with postoperative infection and delayed recovery from colorectal cancer resection surgery. Br J Cancer 107:931–936

    Article  CAS  Google Scholar 

  13. Martin L et al (2013) Cancer cachexia in the age of obesity: skeletal muscle depletion is a powerful prognostic factor. Independent of Body Mass Index J Clin Oncol 31:1539–1547

  14. Reisinger KW et al (2015) Functional compromise reflected by sarcopenia, frailty, and nutritional depletion predicts adverse postoperative outcome after colorectal cancer surgery: Ann. Surg. 261:345–352

    Google Scholar 

  15. Ataseven B, Luengo TG, du Bois A, Waltering KU, Traut A, Heitz F, Alesina PF, Prader S, Meier B, Schneider S, Koch JA, Walz M, Groeben HT, Nina P, Brunkhorst V, Heikaus S, Harter P (2018) Skeletal muscle attenuation (sarcopenia) predicts reduced overall survival in patients with advanced epithelial ovarian Cancer undergoing primary debulking surgery. Ann Surg Oncol 25:3372–3379

    Article  Google Scholar 

  16. Kobayashi T et al (2018) Rapidly declining skeletal muscle mass predicts poor prognosis of hepatocellular carcinoma treated with transcatheter intra-arterial therapies. BMC Cancer 18

  17. Kudou K, Saeki H, Nakashima Y, Sasaki S, Jogo T, Hirose K, Hu Q, Tsuda Y, Kimura K, Nakanishi R, Kubo N, Ando K, Oki E, Ikeda T, Maehara Y (2019) Postoperative development of sarcopenia is a strong predictor of a poor prognosis in patients with adenocarcinoma of the esophagogastric junction and upper gastric cancer. Am J Surg 217:757–763

    Article  Google Scholar 

  18. Kugimiya N et al (2018) Loss of skeletal muscle mass after curative gastrectomy is a poor prognostic factor. Oncol Lett. https://doi.org/10.3892/ol.2018.8747

  19. Sandini M et al (2018) Association between changes in body composition and neoadjuvant treatment for pancreatic cancer. JAMA Surg 153:809

    Article  Google Scholar 

  20. Jones KI, Doleman B, Scott S, Lund JN, Williams JP (2015) Simple psoas cross-sectional area measurement is a quick and easy method to assess sarcopenia and predicts major surgical complications. Color Dis 17:O20–O26

    Article  CAS  Google Scholar 

  21. Furtner J, Berghoff AS, Schöpf V, Reumann R, Pascher B, Woitek R, Asenbaum U, Pelster S, Leitner J, Widhalm G, Gatterbauer B, Dieckmann K, Höller C, Prayer D, Preusser M (2018) Temporal muscle thickness is an independent prognostic marker in melanoma patients with newly diagnosed brain metastases. J Neuro-Oncol 140:173–178

    Article  Google Scholar 

  22. Furtner J, Berghoff AS, Albtoush OM, Woitek R, Asenbaum U, Prayer D, Widhalm G, Gatterbauer B, Dieckmann K, Birner P, Aretin B, Bartsch R, Zielinski CC, Schöpf V, Preusser M (2017) Survival prediction using temporal muscle thickness measurements on cranial magnetic resonance images in patients with newly diagnosed brain metastases. Eur Radiol 27:3167–3173

    Article  Google Scholar 

  23. Cox D, Regression R (1972) Models and life-tables. J R Stat Soc 34:187–220

    Google Scholar 

  24. Kaplan EL, Meier P (1958) Nonparametric estimation from incomplete observations. J Am Stat Assoc 53:457

    Article  Google Scholar 

  25. Cicchetti D, Guidelines V (1994) Criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychol Assess 6:284–290

    Article  Google Scholar 

  26. Althouse AD (2016) Adjust for multiple comparisons? It’s Not That Simple Ann Thorac Surg 101:1644–1645

  27. Rier HN, Jager A, Sleijfer S, van Rosmalen J, Kock MCJM, Levin MD (2017) Low muscle attenuation is a prognostic factor for survival in metastatic breast cancer patients treated with first line palliative chemotherapy. Breast 31:9–15

    Article  Google Scholar 

  28. Ranganathan K, Terjimanian M, Lisiecki J, Rinkinen J, Mukkamala A, Brownley C, Buchman SR, Wang SC, Levi B (2014) Temporalis muscle morphomics: the psoas of the craniofacial skeleton. J Surg Res 186:246–252

    Article  Google Scholar 

  29. Florence, K.-G. et al. Radiotherapy for glioblastoma in the Elderly. N. Engl. J. Med. 9 (2007)

  30. Chang EL et al (2003) Hypofractionated radiotherapy for elderly or younger low-performance status glioblastoma patients: outcome and prognostic factors. Int. J. Radiat. Oncol. 56:519–528

    Article  Google Scholar 

  31. Sanai N, Polley M-Y, McDermott MW, Parsa AT, Berger MS (2011) An extent of resection threshold for newly diagnosed glioblastomas. J Neurosurg 115:3–8

    Article  Google Scholar 

  32. Hegi, M. E. et al. MGMT gene silencing and benefit from temozolomide in glioblastoma. N. Engl. J. Med. 7 (2005)

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Correspondence to Tony J. C. Wang or Cheng-Chia Wu.

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Conflict of interest

Dr. Tony J. C. Wang reports personal fees and non-financial support from AbbVie, personal fees from AstraZeneca, personal fees and non-financial support from Elekta, personal fees and non-financial support from Merck, personal fees from Doximity, personal fees from Wolters Kluwer, personal fees and non-financial support from Novocure, personal fees and non-financial support from RTOG foundation, personal fees from Cancer Panels, outside thesubmitted work.

The remaining authors (Kristin Hsieh, Mark Hwang, Gabrielle Estevez-Inoa, Akshay Save, Anurag Saraf, Catherine Spina, Simon Cheng, Cheng-Chia Wu) declare no conflicts of interest.

All human and animal studies have been approved by the appropriate ethics committee and have therefore been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments. All persons gave their informed consent prior to their inclusion in the study.

Informed consent was obtained from all patients for being included in this retrospective study.

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Hsieh, K., Hwang, M.E., Estevez-Inoa, G. et al. Temporalis muscle width as a measure of sarcopenia correlates with overall survival in patients with newly diagnosed glioblastoma. J Radiat Oncol 8, 379–387 (2019). https://doi.org/10.1007/s13566-019-00408-9

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  • DOI: https://doi.org/10.1007/s13566-019-00408-9

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