Skip to main content
Erschienen in:

24.10.2019 | Technical Report

Brown adipose tissue and cancer progression

verfasst von: Katrina Chu, Stijn A. Bos, Corey M. Gill, Martin Torriani, Miriam A. Bredella

Erschienen in: Skeletal Radiology | Ausgabe 4/2020

Einloggen, um Zugang zu erhalten

Abstract

Objective

The purpose of our study was to determine the role of brown adipose tissue (BAT) in cancer progression.

Materials and methods

Our study was approved by our institutional review board and Health Insurance Portability and Accountability Act–compliant. Our study group comprised 132 cancer patients (116 f, 16 m; mean age 50 ± 16 years) who underwent F18-FDG PET/CT per standard clinical protocol, for staging or surveillance of cancer. We included patients who were BAT-positive on PET/CT and had clinical follow-up data available for at least 12 months or until tumor recurrence or tumor-related death, whichever occurred first. BAT volume by PET/CT was quantified by PET-CT Viewer shareware. Clinical information including tumor type, tumor recurrence, survival, and outside temperature at time of scan were recorded. Cox proportional hazard models were used to determine longitudinal associations between BAT volume and tumor recurrence/mortality.

Results

There were 55 tumor recurrences/tumor-related deaths over a median follow-up period of 71 (33; 110 interquartile range) months. Higher BAT volume was associated with an increased likelihood of tumor recurrence/tumor-associated mortality after adjustment for covariates (p = 0.03).

Conclusion

BAT volume, assessed using routine PET/CT, is a predictor of tumor recurrence/mortality in patients with cancer, independent of other factors that can influence BAT activity, such as sex, age, BMI, or tumor type.
Literatur
1.
Zurück zum Zitat Dittmer J, Leyh B. Paracrine effects of stem cells in wound healing and cancer progression (review). Int J Oncol. 2014;44(6):1789–98.CrossRef Dittmer J, Leyh B. Paracrine effects of stem cells in wound healing and cancer progression (review). Int J Oncol. 2014;44(6):1789–98.CrossRef
2.
Zurück zum Zitat Kaplan RN, Riba RD, Zacharoulis S, Bramley AH, Vincent L, Costa C, et al. VEGFR1-positive haematopoietic bone marrow progenitors initiate the pre-metastatic niche. Nature. 2005;438(7069):820–7.CrossRef Kaplan RN, Riba RD, Zacharoulis S, Bramley AH, Vincent L, Costa C, et al. VEGFR1-positive haematopoietic bone marrow progenitors initiate the pre-metastatic niche. Nature. 2005;438(7069):820–7.CrossRef
3.
Zurück zum Zitat Peinado H, Zhang H, Matei IR, Costa-Silva B, Hoshino A, Rodrigues G, et al. Pre-metastatic niches: organ-specific homes for metastases. Nat Rev Cancer. 2017;17(5):302–17.CrossRef Peinado H, Zhang H, Matei IR, Costa-Silva B, Hoshino A, Rodrigues G, et al. Pre-metastatic niches: organ-specific homes for metastases. Nat Rev Cancer. 2017;17(5):302–17.CrossRef
4.
Zurück zum Zitat Himbert C, Delphan M, Scherer D, Bowers LW, Hursting S, Ulrich CM. Signals from the adipose microenvironment and the obesity-cancer link-a systematic review. Cancer Prev Res (Phila). 2017;10(9):494–506.CrossRef Himbert C, Delphan M, Scherer D, Bowers LW, Hursting S, Ulrich CM. Signals from the adipose microenvironment and the obesity-cancer link-a systematic review. Cancer Prev Res (Phila). 2017;10(9):494–506.CrossRef
5.
Zurück zum Zitat Nieman KM, Kenny HA, Penicka CV, Ladanyi A, Buell-Gutbrod R, Zillhardt MR, et al. Adipocytes promote ovarian cancer metastasis and provide energy for rapid tumor growth. Nat Med. 2011;17(11):1498–503.CrossRef Nieman KM, Kenny HA, Penicka CV, Ladanyi A, Buell-Gutbrod R, Zillhardt MR, et al. Adipocytes promote ovarian cancer metastasis and provide energy for rapid tumor growth. Nat Med. 2011;17(11):1498–503.CrossRef
6.
Zurück zum Zitat Nieman KM, Romero IL, Van Houten B, Lengyel E. Adipose tissue and adipocytes support tumorigenesis and metastasis. Biochim Biophys Acta. 2013;1831(10):1533–41.CrossRef Nieman KM, Romero IL, Van Houten B, Lengyel E. Adipose tissue and adipocytes support tumorigenesis and metastasis. Biochim Biophys Acta. 2013;1831(10):1533–41.CrossRef
7.
Zurück zum Zitat Klopp AH, Zhang Y, Solley T, Amaya-Manzanares F, Marini F, Andreeff M, et al. Omental adipose tissue-derived stromal cells promote vascularization and growth of endometrial tumors. Clin Cancer Res. 2011;18(3):771–82.CrossRef Klopp AH, Zhang Y, Solley T, Amaya-Manzanares F, Marini F, Andreeff M, et al. Omental adipose tissue-derived stromal cells promote vascularization and growth of endometrial tumors. Clin Cancer Res. 2011;18(3):771–82.CrossRef
8.
Zurück zum Zitat Zhang Y, Daquinag A, Traktuev DO, Amaya-Manzanares F, Simmons PJ, March KL, et al. White adipose tissue cells are recruited by experimental tumors and promote cancer progression in mouse models. Cancer Res. 2009;69(12):5259–66.CrossRef Zhang Y, Daquinag A, Traktuev DO, Amaya-Manzanares F, Simmons PJ, March KL, et al. White adipose tissue cells are recruited by experimental tumors and promote cancer progression in mouse models. Cancer Res. 2009;69(12):5259–66.CrossRef
9.
Zurück zum Zitat Bos SA, Gill CM, Martinez-Salazar EL, Torriani M, Bredella MA. Preliminary investigation of brown adipose tissue assessed by PET/CT and cancer activity. Skelet Radiol. 2019;48(3):413–9.CrossRef Bos SA, Gill CM, Martinez-Salazar EL, Torriani M, Bredella MA. Preliminary investigation of brown adipose tissue assessed by PET/CT and cancer activity. Skelet Radiol. 2019;48(3):413–9.CrossRef
10.
Zurück zum Zitat Cao Q, Hersl J, La H, Smith M, Jenkins J, Goloubeva O, et al. A pilot study of FDG PET/CT detects a link between brown adipose tissue and breast cancer. BMC Cancer. 2014;14:126.CrossRef Cao Q, Hersl J, La H, Smith M, Jenkins J, Goloubeva O, et al. A pilot study of FDG PET/CT detects a link between brown adipose tissue and breast cancer. BMC Cancer. 2014;14:126.CrossRef
11.
Zurück zum Zitat Huang YC, Chen TB, Hsu CC, Li SH, Wang PW, Lee BF, et al. The relationship between brown adipose tissue activity and neoplastic status: an (18)F-FDG PET/CT study in the tropics. Lipids Health Dis. 2011;10:238.CrossRef Huang YC, Chen TB, Hsu CC, Li SH, Wang PW, Lee BF, et al. The relationship between brown adipose tissue activity and neoplastic status: an (18)F-FDG PET/CT study in the tropics. Lipids Health Dis. 2011;10:238.CrossRef
12.
Zurück zum Zitat Kir S, Spiegelman BM. Cachexia and brown fat: a burning issue in cancer. Trends Cancer. 2016;2(9):461–3.CrossRef Kir S, Spiegelman BM. Cachexia and brown fat: a burning issue in cancer. Trends Cancer. 2016;2(9):461–3.CrossRef
13.
Zurück zum Zitat Cannon B, Nedergaard J. Brown adipose tissue: function and physiological significance. Physiol Rev. 2004;84(1):277–359.CrossRef Cannon B, Nedergaard J. Brown adipose tissue: function and physiological significance. Physiol Rev. 2004;84(1):277–359.CrossRef
14.
Zurück zum Zitat Cypess AM, Lehman S, Williams G, Tal I, Rodman D, Goldfine AB, et al. Identification and importance of brown adipose tissue in adult humans. N Engl J Med. 2009;360(15):1509–17.CrossRef Cypess AM, Lehman S, Williams G, Tal I, Rodman D, Goldfine AB, et al. Identification and importance of brown adipose tissue in adult humans. N Engl J Med. 2009;360(15):1509–17.CrossRef
15.
Zurück zum Zitat Barbatelli G, Murano I, Madsen L, Hao Q, Jimenez M, Kristiansen K, et al. The emergence of cold-induced brown adipocytes in mouse white fat depots is determined predominantly by white to brown adipocyte transdifferentiation. Am J Physiol Endocrinol Metab. 2010;298(6):E1244–53.CrossRef Barbatelli G, Murano I, Madsen L, Hao Q, Jimenez M, Kristiansen K, et al. The emergence of cold-induced brown adipocytes in mouse white fat depots is determined predominantly by white to brown adipocyte transdifferentiation. Am J Physiol Endocrinol Metab. 2010;298(6):E1244–53.CrossRef
16.
Zurück zum Zitat Walden TB, Hansen IR, Timmons JA, Cannon B, Nedergaard J. Recruited vs. nonrecruited molecular signatures of brown, “brite,” and white adipose tissues. Am J Physiol Endocrinol Metab. 2012;302(1):E19–31.CrossRef Walden TB, Hansen IR, Timmons JA, Cannon B, Nedergaard J. Recruited vs. nonrecruited molecular signatures of brown, “brite,” and white adipose tissues. Am J Physiol Endocrinol Metab. 2012;302(1):E19–31.CrossRef
17.
Zurück zum Zitat Lim S, Honek J, Xue Y, Seki T, Cao Z, Andersson P, et al. Cold-induced activation of brown adipose tissue and adipose angiogenesis in mice. Nat Protoc. 2012;7(3):606–15.CrossRef Lim S, Honek J, Xue Y, Seki T, Cao Z, Andersson P, et al. Cold-induced activation of brown adipose tissue and adipose angiogenesis in mice. Nat Protoc. 2012;7(3):606–15.CrossRef
18.
Zurück zum Zitat Lim S, Hosaka K, Nakamura M, Cao Y. Co-option of pre-existing vascular beds in adipose tissue controls tumor growth rates and angiogenesis. Oncotarget. 2016;7(25):38282–91.CrossRef Lim S, Hosaka K, Nakamura M, Cao Y. Co-option of pre-existing vascular beds in adipose tissue controls tumor growth rates and angiogenesis. Oncotarget. 2016;7(25):38282–91.CrossRef
19.
Zurück zum Zitat Chen KY, Cypess AM, Laughlin MR, Haft CR, Hu HH, Bredella MA, et al. Brown adipose reporting criteria in imaging STudies (BARCIST 1.0): recommendations for standardized FDG-PET/CT experiments in humans. Cell Metab. 2016;24(2):210–22.CrossRef Chen KY, Cypess AM, Laughlin MR, Haft CR, Hu HH, Bredella MA, et al. Brown adipose reporting criteria in imaging STudies (BARCIST 1.0): recommendations for standardized FDG-PET/CT experiments in humans. Cell Metab. 2016;24(2):210–22.CrossRef
20.
Zurück zum Zitat Sampath SC, Sampath SC, Bredella MA, Cypess AM, Torriani M. Imaging of brown adipose tissue: state of the art. Radiology. 2016;280(1):4–19.CrossRef Sampath SC, Sampath SC, Bredella MA, Cypess AM, Torriani M. Imaging of brown adipose tissue: state of the art. Radiology. 2016;280(1):4–19.CrossRef
21.
Zurück zum Zitat Grignol VP, Smith AD, Shlapak D, Zhang X, Del Campo SM, Carson WE. Increased visceral to subcutaneous fat ratio is associated with decreased overall survival in patients with metastatic melanoma receiving anti-angiogenic therapy. Surg Oncol. 2015;24(4):353–8.CrossRef Grignol VP, Smith AD, Shlapak D, Zhang X, Del Campo SM, Carson WE. Increased visceral to subcutaneous fat ratio is associated with decreased overall survival in patients with metastatic melanoma receiving anti-angiogenic therapy. Surg Oncol. 2015;24(4):353–8.CrossRef
22.
Zurück zum Zitat Shin DY, Kim A, Byun BH, Moon H, Kim S, Ko YJ, et al. Visceral adipose tissue is prognostic for survival of diffuse large B cell lymphoma treated with frontline R-CHOP. Ann Hematol. 2016;95(3):409–16.CrossRef Shin DY, Kim A, Byun BH, Moon H, Kim S, Ko YJ, et al. Visceral adipose tissue is prognostic for survival of diffuse large B cell lymphoma treated with frontline R-CHOP. Ann Hematol. 2016;95(3):409–16.CrossRef
23.
Zurück zum Zitat Veld J, O’Donnell EK, Reagan MR, Yee AJ, Torriani M, Rosen CJ, et al. Abdominal adipose tissue in MGUS and multiple myeloma. Skelet Radiol. 2016;45(9):1277–83.CrossRef Veld J, O’Donnell EK, Reagan MR, Yee AJ, Torriani M, Rosen CJ, et al. Abdominal adipose tissue in MGUS and multiple myeloma. Skelet Radiol. 2016;45(9):1277–83.CrossRef
24.
Zurück zum Zitat Veld J, Vossen JA, De Amorim Bernstein K, Halpern EF, Torriani M, Bredella MA. Adipose tissue and muscle attenuation as novel biomarkers predicting mortality in patients with extremity sarcomas. Eur Radiol. 2016;26:4649–55.CrossRef Veld J, Vossen JA, De Amorim Bernstein K, Halpern EF, Torriani M, Bredella MA. Adipose tissue and muscle attenuation as novel biomarkers predicting mortality in patients with extremity sarcomas. Eur Radiol. 2016;26:4649–55.CrossRef
25.
Zurück zum Zitat Bredella MA, Gill CM, Rosen CJ, Klibanski A, Torriani M. Positive effects of brown adipose tissue on femoral bone structure. Bone. 2014;58:55–8.CrossRef Bredella MA, Gill CM, Rosen CJ, Klibanski A, Torriani M. Positive effects of brown adipose tissue on femoral bone structure. Bone. 2014;58:55–8.CrossRef
26.
Zurück zum Zitat Barbaras L, Tal I, Palmer MR, Parker JA, Kolodny GM. Shareware program for nuclear medicine and PET/CT PACS display and processing. AJR Am J Roentgenol. 2007;188(6):W565–8.CrossRef Barbaras L, Tal I, Palmer MR, Parker JA, Kolodny GM. Shareware program for nuclear medicine and PET/CT PACS display and processing. AJR Am J Roentgenol. 2007;188(6):W565–8.CrossRef
27.
Zurück zum Zitat Cronin CG, Prakash P, Daniels GH, Boland GW, Kalra MK, Halpern EF, et al. Brown fat at PET/CT: correlation with patient characteristics. Radiology. 2012;263(3):836–42.CrossRef Cronin CG, Prakash P, Daniels GH, Boland GW, Kalra MK, Halpern EF, et al. Brown fat at PET/CT: correlation with patient characteristics. Radiology. 2012;263(3):836–42.CrossRef
28.
Zurück zum Zitat Steinberg JD, Vogel W, Vegt E. Factors influencing brown fat activation in FDG PET/CT: a retrospective analysis of 15,000+ cases. Br J Radiol. 2017;90(1075):20170093.CrossRef Steinberg JD, Vogel W, Vegt E. Factors influencing brown fat activation in FDG PET/CT: a retrospective analysis of 15,000+ cases. Br J Radiol. 2017;90(1075):20170093.CrossRef
29.
Zurück zum Zitat Wu C, Cheng W, Sun Y, Dang Y, Gong F, Zhu H, et al. Activating brown adipose tissue for weight loss and lowering of blood glucose levels: a microPET study using obese and diabetic model mice. PLoS One. 2014;9(12):e113742.CrossRef Wu C, Cheng W, Sun Y, Dang Y, Gong F, Zhu H, et al. Activating brown adipose tissue for weight loss and lowering of blood glucose levels: a microPET study using obese and diabetic model mice. PLoS One. 2014;9(12):e113742.CrossRef
31.
Zurück zum Zitat Ouellet V, Routhier-Labadie A, Bellemare W, Lakhal-Chaieb L, Turcotte E, Carpentier AC, et al. Outdoor temperature, age, sex, body mass index, and diabetic status determine the prevalence, mass, and glucose-uptake activity of 18F-FDG-detected BAT in humans. J Clin Endocrinol Metab. 2011;96(1):192–9.CrossRef Ouellet V, Routhier-Labadie A, Bellemare W, Lakhal-Chaieb L, Turcotte E, Carpentier AC, et al. Outdoor temperature, age, sex, body mass index, and diabetic status determine the prevalence, mass, and glucose-uptake activity of 18F-FDG-detected BAT in humans. J Clin Endocrinol Metab. 2011;96(1):192–9.CrossRef
32.
Zurück zum Zitat Argiles JM, Busquets S, Stemmler B, Lopez-Soriano FJ. Cancer cachexia: understanding the molecular basis. Nat Rev Cancer. 2014;14(11):754–62.CrossRef Argiles JM, Busquets S, Stemmler B, Lopez-Soriano FJ. Cancer cachexia: understanding the molecular basis. Nat Rev Cancer. 2014;14(11):754–62.CrossRef
33.
Zurück zum Zitat Dalal S. Lipid metabolism in cancer cachexia. Ann Palliat Med. 2019;8(1):13–23.CrossRef Dalal S. Lipid metabolism in cancer cachexia. Ann Palliat Med. 2019;8(1):13–23.CrossRef
34.
Zurück zum Zitat Cypess AM, Haft CR, Laughlin MR, Hu HH. Brown fat in humans: consensus points and experimental guidelines. Cell Metab. 2014;20(3):408–15.CrossRef Cypess AM, Haft CR, Laughlin MR, Hu HH. Brown fat in humans: consensus points and experimental guidelines. Cell Metab. 2014;20(3):408–15.CrossRef
Metadaten
Titel
Brown adipose tissue and cancer progression
verfasst von
Katrina Chu
Stijn A. Bos
Corey M. Gill
Martin Torriani
Miriam A. Bredella
Publikationsdatum
24.10.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Skeletal Radiology / Ausgabe 4/2020
Print ISSN: 0364-2348
Elektronische ISSN: 1432-2161
DOI
https://doi.org/10.1007/s00256-019-03322-w

Neu im Fachgebiet Radiologie

Ab sofort gelten die neuen Verordnungsausnahmen für Lipidsenker

Freie Fahrt für Lipidsenker? Das nicht, doch mit niedrigerem Schwellenwert fürs Infarktrisiko und neuen Indikationen hat der G-BA die Verordnungs-Handbremse ein gutes Stück weit gelockert.

Abdominale CT bei Kindern: 40% mit Zufallsbefunden

Wird bei Kindern mit stumpfem Trauma eine CT des Bauchraums veranlasst, sind in rund 40% der Fälle Auffälligkeiten zu sehen, die nichts mit dem Trauma zu tun haben. Die allerwenigsten davon sind klinisch relevant.

Genügt die biparametrische MRT für die Prostatadiagnostik?

Die multiparametrische Magnetresonanztomografie hat einen festen Platz im Screening auf klinisch signifikante Prostatakarzinome. Ob auch ein biparametrisches Vorgehen ausreicht, ist in einer Metaanalyse untersucht worden.

Höhere Trefferquoten bei Brustkrebsscreening dank KI?

Künstliche Intelligenz unterstützt bei der Auswertung von Mammografie-Screenings und senkt somit den radiologischen Arbeitsaufwand. Wie wirken sich diese Technologien auf die Trefferquote und die Falsch-positiv-Rate aus? Das hat jetzt eine Studie aus Schweden untersucht.

Update Radiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.