Skip to main content

Advertisement

Log in

The predictive value of body mass index on prognosis and adverse events of cancers treated with immunotherapy: a systematic review and meta-analysis

  • Original Article
  • Published:
Cancer Immunology, Immunotherapy Aims and scope Submit manuscript

A Correction to this article was published on 20 March 2021

This article has been updated

Abstract

Objective

High body mass index (BMI) greater than 25 kg/m2 has a complex relationship with cancers. The aim of this systematic review and meta-analysis is to explore controversy over whether BMI is correlated with outcomes including survival and immunotherapy-related adverse events (irAEs) in cancer patients treated with immunotherapy.

Methods

We searched PubMed, Embase, Web of Science, and The Cochrane Library for relevant studies published up to June 2020. Title/abstract screening, full-text review, data extraction, and quality assessment were performed independently. Subgroup analysis was based on sex, treatment lines, the status of programmed death-ligand 1 (PD-L1), and tumor types. Sensitivity analysis was performed by synthesizing studies that adjusted for certain covariates or studies with good quality. Statistical heterogeneity was evaluated by the I2 value. Meta-analysis was performed with hazard ratio (HR) / odds ratio (OR) and 95% confidence intervals (CIs) as the effect measures.

Results

Twenty studies were included for survival and irAEs analyses. Patients with high BMI who underwent immunotherapy had longer overall survival (OS) (pooled hazard ratio, pHR = 0.71 [95% CI: 0.59–0.85]) and progression-free survival (PFS) (pHR = 0.76 [95% CI: 0.65–0.88]) than those with low BMI; at the same time, high-BMI patients had increased irAEs (OR = 2.54 [95% CI: 1.12–5.79]).

Conclusion

In general, high BMI was correlated with improved OS and PFS in patients treated with immunotherapy along with a high risk of irAEs. However, discrepant findings from subgroup analyses urgently call for further analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Change history

References

  1. Pearson-Stuttard J, Zhou B, Kontis V, Bentham J, Gunter MJ, Ezzati M (2018) Worldwide burden of cancer attributable to diabetes and high body-mass index: a comparative risk assessment. Lancet Diabetes Endocrinol 6(6):e6–e15. https://doi.org/10.1016/s2213-8587(18)30150-5

    Article  PubMed  PubMed Central  Google Scholar 

  2. Schoemaker MJ, Nichols HB, Wright LB, Brook MN, Jones ME, O’Brien KM, Adami HO, Baglietto L, Bernstein L, Bertrand KA, Boutron-Ruault MC, Braaten T, Chen Y, Connor AE, Dorronsoro M, Dossus L, Eliassen AH, Giles GG, Hankinson SE, Kaaks R, Key TJ, Kirsh VA, Kitahara CM, Koh WP, Larsson SC, Linet MS, Ma H, Masala G, Merritt MA, Milne RL, Overvad K, Ozasa K, Palmer JR, Peeters PH, Riboli E, Rohan TE, Sadakane A, Sund M, Tamimi RM, Trichopoulou A, Ursin G, Vatten L, Visvanathan K, Weiderpass E, Willett WC, Wolk A, Yuan JM, Zeleniuch-Jacquotte A, Sandler DP, Swerdlow AJ (2018) Association of body mass index and age with subsequent breast cancer risk in premenopausal women. JAMA Oncol 4(11):e181771. https://doi.org/10.1001/jamaoncol.2018.1771

    Article  PubMed  PubMed Central  Google Scholar 

  3. Arnold M, Pandeya N, Byrnes G, Renehan PAG, Stevens GA, Ezzati PM, Ferlay J, Miranda JJ, Romieu I, Dikshit R, Forman D, Soerjomataram I (2015) Global burden of cancer attributable to high body-mass index in 2012: a population-based study. Lancet Oncol 16(1):36–46. https://doi.org/10.1016/s1470-2045(14)71123-4

    Article  PubMed  Google Scholar 

  4. Albiges L, Hakimi AA, Xie W, McKay RR, Simantov R, Lin X, Lee JL, Rini BI, Srinivas S, Bjarnason GA, Ernst S, Wood LA, Vaishamayan UN, Rha SY, Agarwal N, Yuasa T, Pal SK, Bamias A, Zabor EC, Skanderup AJ, Furberg H, Fay AP, de Velasco G, Preston MA, Wilson KM, Cho E, McDermott DF, Signoretti S, Heng DYC, Choueiri TK (2016) Body mass index and metastatic renal cell carcinoma: clinical and biological correlations. J Clin Oncol: Off J Am Soc Clin Oncol 34(30):3655–3663. https://doi.org/10.1200/jco.2016.66.7311

    Article  CAS  Google Scholar 

  5. Lennon H, Sperrin M, Badrick E, Renehan AG (2016) The obesity paradox in cancer: a review. Curr Oncol Rep 18(9):56. https://doi.org/10.1007/s11912-016-0539-4

    Article  PubMed  PubMed Central  Google Scholar 

  6. Taghizadeh N, Boezen HM, Schouten JP, Schröder CP, Elisabeth de Vries EG, Vonk JM (2015) BMI and lifetime changes in BMI and cancer mortality risk. PLoS ONE 10(4):e0125261. https://doi.org/10.1371/journal.pone.0125261

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. McQuade JL, Daniel CR, Hess KR, Mak C, Wang DY, Rai RR, Park JJ, Haydu LE, Spencer C, Wongchenko M, Lane S, Lee DY, Kaper M, McKean M, Beckermann KE, Rubinstein SM, Rooney I, Musib L, Budha N, Hsu J, Nowicki TS, Avila A, Haas T, Puligandla M, Lee S, Fang S, Wargo JA, Gershenwald JE, Lee JE, Hwu P, Chapman PB, Sosman JA, Schadendorf D, Grob JJ, Flaherty KT, Walker D, Yan Y, McKenna E, Legos JJ, Carlino MS, Ribas A, Kirkwood JM, Long GV, Johnson DB, Menzies AM, Davies MA (2018) Association of body-mass index and outcomes in patients with metastatic melanoma treated with targeted therapy, immunotherapy, or chemotherapy: a retrospective, multicohort analysis. Lancet Oncol 19(3):310–322. https://doi.org/10.1016/s1470-2045(18)30078-0

    Article  PubMed  PubMed Central  Google Scholar 

  8. Borghaei H, Paz-Ares L, Horn L, Spigel DR, Steins M, Ready NE, Chow LQ, Vokes EE, Felip E, Holgado E, Barlesi F, Kohlhaufl M, Arrieta O, Burgio MA, Fayette J, Lena H, Poddubskaya E, Gerber DE, Gettinger SN, Rudin CM, Rizvi N, Crino L, Blumenschein GR Jr, Antonia SJ, Dorange C, Harbison CT, Graf Finckenstein F, Brahmer JR (2015) Nivolumab versus docetaxel in advanced nonsquamous non-small-cell lung cancer. New Engl J Med 373(17):1627–1639. https://doi.org/10.1056/NEJMoa1507643

    Article  CAS  PubMed  Google Scholar 

  9. Brahmer J, Reckamp KL, Baas P, Crino L, Eberhardt WE, Poddubskaya E, Antonia S, Pluzanski A, Vokes EE, Holgado E, Waterhouse D, Ready N, Gainor J, Aren Frontera O, Havel L, Steins M, Garassino MC, Aerts JG, Domine M, Paz-Ares L, Reck M, Baudelet C, Harbison CT, Lestini B, Spigel DR (2015) Nivolumab versus docetaxel in advanced squamous-cell non-small-cell lung cancer. New Engl J Med 373(2):123–135. https://doi.org/10.1056/NEJMoa1504627

    Article  CAS  PubMed  Google Scholar 

  10. Cortellini A, Bersanelli M, Buti S, Cannita K, Santini D, Perrone F, Giusti R, Tiseo M, Michiara M, Di Marino P, Tinari N, De Tursi M, Zoratto F, Veltri E, Marconcini R, Malorgio F, Russano M, Anesi C, Zeppola T, Filetti M, Marchetti P, Botticelli A, Antonini Cappellini GC, De Galitiis F, Vitale MG, Rastelli F, Pergolesi F, Berardi R, Rinaldi S, Tudini M, Silva RR, Pireddu A, Atzori F, Chiari R, Ricciuti B, De Giglio A, Iacono D, Gelibter A, Occhipinti MA, Parisi A, Porzio G, Fargnoli MC, Ascierto PA, Ficorella C, Natoli C (2019) A multicenter study of body mass index in cancer patients treated with anti-PD-1/PD-L1 immune checkpoint inhibitors: when overweight becomes favorable. J Immunother Cancer 7(1):57. https://doi.org/10.1186/s40425-019-0527-y

    Article  PubMed  PubMed Central  Google Scholar 

  11. Kichenadasse G, Miners JO, Mangoni AA, Rowland A, Hopkins AM, Sorich MJ (2019) Association between body mass index and overall survival with immune checkpoint inhibitor therapy for advanced non-small cell lung cancer. JAMA Oncol. https://doi.org/10.1001/jamaoncol.2019.5241

    Article  PubMed Central  Google Scholar 

  12. Richtig G, Hoeller C, Wolf M, Wolf I, Rainer BM, Schulter G, Richtig M, Grubler MR, Gappmayer A, Haidn T, Kofler J, Huegel R, Lange-Asschenfeldt B, Pichler M, Pilz S, Heinemann A, Richtig E (2018) Body mass index may predict the response to ipilimumab in metastatic melanoma: an observational multi-centre study. PLoS ONE 13(10):e0204729. https://doi.org/10.1371/journal.pone.0204729

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Xu H, Cao D, He A, Ge W (2019) The prognostic role of obesity is independent of sex in cancer patients treated with immune checkpoint inhibitors: a pooled analysis of 4090 cancer patients. Int Immunopharmacol 74:105745. https://doi.org/10.1016/j.intimp.2019.105745

    Article  CAS  PubMed  Google Scholar 

  14. Moher D, Liberati A, Tetzlaff J, Altman DG (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 6(7):e1000097. https://doi.org/10.1371/journal.pmed.1000097

    Article  PubMed  PubMed Central  Google Scholar 

  15. Stang A (2010) Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol 25(9):603–605. https://doi.org/10.1007/s10654-010-9491-z

    Article  PubMed  Google Scholar 

  16. Gomes JR (2017) Analysis of the impact of body mass index in the treatment of metastatic melanoma with ipilimumab. J Clin Oncol 35(15_suppl):e21044

    Article  Google Scholar 

  17. Zhi J, Khozin S, Kuk D, Torres A, Sorg R, Lee S, Miksad R, Pazdur R, Abernethy A (2018) Association of baseline body mass index (BMI) with overall survival (OS) in patients (pts) with metastatic non-small cell lung cancer (mNSCLC) treated with nivolumab (N) and pembrolizumab (P). J Clin Oncol 36:6553–6553. https://doi.org/10.1200/JCO.2018.36.15_suppl.6553

    Article  Google Scholar 

  18. Labomascus S, Fughhi I, Bonomi P, McDonald A, Batus M, Fidler MJ, Basu S, Borgia J (2018) P2.01–61 Body mass index over time is associated with overall survival in advanced NSCLC patients treated with immunotherapy. J Thorac Oncol. https://doi.org/10.1016/j.jtho.2018.08.1115

    Article  Google Scholar 

  19. Dumenil C, Massiani MA, Dumoulin J, Giraud V, Labrune S, Chinet T, Giroux Leprieur E (2018) Clinical factors associated with early progression and grade 3–4 toxicity in patients with advanced non-small-cell lung cancers treated with nivolumab. PLoS ONE 13(4):e0195945. https://doi.org/10.1371/journal.pone.0195945

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Dizman N, Bergerot P, Bergerot CD, Philip EJ, Salgia MM, Hsu J, Adashek J, Pal SK (2018) 894PComparative effect of body-mass index on outcome with targeted therapy and immunotherapy in patients with metastatic renal cell carcinoma (mRCC). Ann Oncol. https://doi.org/10.1093/annonc/mdy283.103

    Article  Google Scholar 

  21. Ibrahimi S, Mukherjee S, Roman D, King C, Machiorlatti M, Aljumaily R (2018) Effect of body mass index and albumin level on outcomes of patients receiving anti PD-1/PD-L1 therapy. J Clin Oncol 36:213–213. https://doi.org/10.1200/JCO.2018.36.5_suppl.213

    Article  Google Scholar 

  22. Lalani A-K, Xie W, Flippot R, Steinharter J, Harshman L, McGregor B, Heng D, Choueiri T (2019) Impact of body mass index (BMI) on treatment outcomes to immune checkpoint blockade (ICB) in metastatic renal cell carcinoma (mRCC). J Clin Oncol 37:566–566. https://doi.org/10.1200/JCO.2019.37.7_suppl.566

    Article  Google Scholar 

  23. Wang Z, Aguilar EG, Luna JI, Dunai C, Khuat LT, Le CT, Mirsoian A, Minnar CM, Stoffel KM, Sturgill IR, Grossenbacher SK, Withers SS, Rebhun RB, Hartigan-O’Connor DJ, Mendez-Lagares G, Tarantal AF, Isseroff RR, Griffith TS, Schalper KA, Merleev A, Saha A, Maverakis E, Kelly K, Aljumaily R, Ibrahimi S, Mukherjee S, Machiorlatti M, Vesely SK, Longo DL, Blazar BR, Canter RJ, Murphy WJ, Monjazeb AM (2019) Paradoxical effects of obesity on T cell function during tumor progression and PD-1 checkpoint blockade. Nat Med 25(1):141–151. https://doi.org/10.1038/s41591-018-0221-5

    Article  CAS  PubMed  Google Scholar 

  24. Kondo T, Nomura M, Otsuka A, Nonomura Y, Kaku Y, Matsumoto S, Muto M (2019) Predicting marker for early progression in unresectable melanoma treated with nivolumab. Int J Clin Oncol 24(3):323–327. https://doi.org/10.1007/s10147-018-1345-9

    Article  CAS  PubMed  Google Scholar 

  25. Taniguchi Y, Tamiya A, Isa S-I, Nakahama K, Okishio K, Shiroyama T, Suzuki H, Inoue T, Tamiya M, Hirashima T, Imamura F, Atagi S (2017) Predictive factors for poor progression-free survival in patients with non-small cell lung cancer treated with nivolumab. Anticancer Res 37(10):5857–5862

    CAS  PubMed  Google Scholar 

  26. Shiroyama T, Suzuki H, Tamiya M, Tamiya A, Tanaka A, Okamoto N, Nakahama K, Taniguchi Y, Isa SI, Inoue T, Imamura F, Atagi S, Hirashima T (2018) Pretreatment advanced lung cancer inflammation index (ALI) for predicting early progression in nivolumab-treated patients with advanced non-small cell lung cancer. Cancer Med 7(1):13–20. https://doi.org/10.1002/cam4.1234

    Article  CAS  PubMed  Google Scholar 

  27. Bergerot PG, Bergerot CD, Philip EJ, Meza L, Dizman N, Hsu J, Pal SK (2019) Targeted therapy and immunotherapy: effect of body mass index on clinical outcomes in patients diagnosed with metastatic renal cell carcinoma. Kidney Cancer 3(1):63–70. https://doi.org/10.3233/kca-180047

    Article  CAS  Google Scholar 

  28. Ichihara E, Harada D, Inoue K, Sato K, Hosokawa S, Kishino D, Watanabe K, Ochi N, Oda N, Hara N, Hotta K, Maeda Y, Kiura K (2020) The impact of body mass index on the efficacy of anti-PD-1/PD-L1 antibodies in patients with non-small cell lung cancer. Lung Cancer (Amsterdam, Netherlands) 139:140–145. https://doi.org/10.1016/j.lungcan.2019.11.011

    Article  Google Scholar 

  29. Sanchez A, Furberg H, Kuo F, Vuong L, Ged Y, Patil S, Ostrovnaya I, Petruzella S, Reising A, Patel P, Mano R, Coleman J, Russo P, Liu CH, Dannenberg AJ, Chan TA, Motzer R, Voss MH, Hakimi AA (2020) Transcriptomic signatures related to the obesity paradox in patients with clear cell renal cell carcinoma: a cohort study. Lancet Oncol 21(2):283–293. https://doi.org/10.1016/s1470-2045(19)30797-1

    Article  CAS  PubMed  Google Scholar 

  30. Cortellini A, Bersanelli M, Santini D, Buti S, Tiseo M, Cannita K, Perrone F, Giusti R, De Tursi M, Zoratto F, Marconcini R, Russano M, Zeppola T, Anesi C, Filetti M, Marchetti P, Botticelli A, Gelibter A, De Galitiis F, Vitale MG, Rastelli F, Tudini M, Silva RR, Atzori F, Chiari R, Ricciuti B, De Giglio A, Migliorino MR, Mallardo D, Vanella V, Mosillo C, Bracarda S, Rinaldi S, Berardi R, Natoli C, Ficorella C, Porzio G, Ascierto PA (2020) Another side of the association between body mass index (BMI) and clinical outcomes of cancer patients receiving programmed cell death protein-1 (PD-1)/Programmed cell death-ligand 1 (PD-L1) checkpoint inhibitors: a multicentre analysis of immune-related adverse events. Eur J Cancer (Oxford, England: 1990) 128:17–26. https://doi.org/10.1016/j.ejca.2019.12.031

    Article  CAS  Google Scholar 

  31. Heidelberger V, Goldwasser F, Kramkimel N, Jouinot A, Huillard O, Boudou-Rouquette P, Chanal J, Arrondeau J, Franck N, Alexandre J, Blanchet B, Leroy K, Avril M-F, Dupin N, Aractingi S (2017) Sarcopenic overweight is associated with early acute limiting toxicity of anti-PD1 checkpoint inhibitors in melanoma patients. Invest New Drugs 35(4):436–441. https://doi.org/10.1007/s10637-017-0464-x

    Article  CAS  PubMed  Google Scholar 

  32. Escoin-Perez C, Blasco S, Juan-Vidal O (2020) Immune checkpoint inhibitors in special populations. a focus on advanced lung cancer patients. Lung Cancer (Amsterdam, Netherlands) 144:1–9. https://doi.org/10.1016/j.lungcan.2020.03.026

    Article  Google Scholar 

  33. Passaro A, Spitaleri G, Gyawali B, de Marinis F (2019) Immunotherapy in non-small-cell lung cancer patients with performance status 2: clinical decision making with scant evidence. J Clin Oncol 37(22):1863–1867. https://doi.org/10.1200/jco.18.02118

    Article  CAS  PubMed  Google Scholar 

  34. Azvolinsky A (2014) Cancer prognosis: role of BMI and fat tissue. J Natl Cancer Inst 106(6):dju177. https://doi.org/10.1093/jnci/dju177

    Article  PubMed  Google Scholar 

  35. Masel EK, Berghoff AS, Füreder LM, Heicappell P, Schlieter F, Widhalm G, Gatterbauer B, Dieckmann U, Birner P, Bartsch R, Schur S, Watzke HH, Zielinski CC, Preusser M (2017) Decreased body mass index is associated with impaired survival in lung cancer patients with brain metastases: a retrospective analysis of 624 patients. Eur J Cancer Care (Engl). https://doi.org/10.1111/ecc.12707

    Article  Google Scholar 

  36. Yap WK, Shih MC, Kuo C, Pai PC, Chou WC, Chang KP, Tsai MH, Tsang NM (2018) Development and validation of a nomogram for assessing survival in patients with metastatic lung cancer referred for radiotherapy for bone metastases. JAMA Netw Open 1(6):e183242. https://doi.org/10.1001/jamanetworkopen.2018.3242

    Article  PubMed  PubMed Central  Google Scholar 

  37. Sepesi B, Gold KA, Correa AM, Heymach JV, Vaporciyan AA, Roszik J, Dmitrovsky E, Liu X (2017) The influence of body mass index on overall survival following surgical resection of non-small cell lung cancer. J Thorac Oncol 12(8):1280–1287. https://doi.org/10.1016/j.jtho.2017.05.010

    Article  PubMed  PubMed Central  Google Scholar 

  38. Iyengar NM, Gucalp A, Dannenberg AJ, Hudis CA (2016) Obesity and cancer mechanisms: tumor microenvironment and inflammation. J Clin Oncol: Off J Am Soc Clin Oncol 34(35):4270–4276

    Article  CAS  Google Scholar 

  39. Invitti C (2002) Obesity and low-grade systemic inflammation. Minerva Endocrinol 27(3):209–214

    CAS  PubMed  Google Scholar 

  40. Howe LR, Subbaramaiah K, Hudis CA, Dannenberg AJ (2013) Molecular pathways: adipose inflammation as a mediator of obesity-associated cancer. Clin Cancer Res: An Off J Am Assoc Cancer Res 19(22):6074–6083. https://doi.org/10.1158/1078-0432.CCR-12-2603

    Article  CAS  Google Scholar 

  41. Murphy KA, James BR, Sjaastad FV, Kucaba TA, Kim H, Brincks EL, Chua SC Jr, Wilber A, Griffith TS (2018) Cutting edge: elevated leptin during diet-induced obesity reduces the efficacy of tumor immunotherapy. J Immunol (Baltimore, Md: 1950) 201(7):1837–1841. https://doi.org/10.4049/jimmunol.1701738

    Article  CAS  Google Scholar 

  42. Naylor C, Petri WA (2016) Leptin regulation of immune responses. Trends Mol Med 22(2):88–98. https://doi.org/10.1016/j.molmed.2015.12.001

    Article  CAS  PubMed  Google Scholar 

  43. Saucillo DC, Gerriets VA, Sheng J, Rathmell JC, Maciver NJ (2014) Leptin metabolically licenses T cells for activation to link nutrition and immunity. J Immunol (Baltimore, Md: 1950) 192(1):136–144. https://doi.org/10.4049/jimmunol.1301158

    Article  CAS  Google Scholar 

  44. Vétizou M, Pitt JM, Daillère R, Lepage P, Waldschmitt N, Flament C, Rusakiewicz S, Routy B, Roberti MP, Duong CP, Poirier-Colame V, Roux A, Becharef S, Formenti S, Golden E, Cording S, Eberl G, Schlitzer A, Ginhoux F, Mani S, Yamazaki T, Jacquelot N, Enot DP, Bérard M, Nigou J, Opolon P, Eggermont A, Woerther PL, Chachaty E, Chaput N, Robert C, Mateus C, Kroemer G, Raoult D, Boneca IG, Carbonnel F, Chamaillard M, Zitvogel L (2015) Anticancer immunotherapy by CTLA-4 blockade relies on the gut microbiota. Science (New York, NY) 350(6264):1079–1084. https://doi.org/10.1126/science.aad1329

    Article  CAS  Google Scholar 

  45. Routy B, Le Chatelier E, Derosa L, Duong CPM, Alou MT, Daillère R, Fluckiger A, Messaoudene M, Rauber C, Roberti MP, Fidelle M, Flament C, Poirier-Colame V, Opolon P, Klein C, Iribarren K, Mondragón L, Jacquelot N, Qu B, Ferrere G, Clémenson C, Mezquita L, Masip JR, Naltet C, Brosseau S, Kaderbhai C, Richard C, Rizvi H, Levenez F, Galleron N, Quinquis B, Pons N, Ryffel B, Minard-Colin V, Gonin P, Soria JC, Deutsch E, Loriot Y, Ghiringhelli F, Zalcman G, Goldwasser F, Escudier B, Hellmann MD, Eggermont A, Raoult D, Albiges L, Kroemer G, Zitvogel L (2018) Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors. Science (New York, NY) 359(6371):91–97. https://doi.org/10.1126/science.aan3706

    Article  CAS  Google Scholar 

  46. Gopalakrishnan V, Spencer CN, Nezi L, Reuben A, Andrews MC, Karpinets TV, Prieto PA, Vicente D, Hoffman K, Wei SC, Cogdill AP, Zhao L, Hudgens CW, Hutchinson DS, Manzo T, Petaccia de Macedo M, Cotechini T, Kumar T, Chen WS, Reddy SM, Szczepaniak Sloane R, Galloway-Pena J, Jiang H, Chen PL, Shpall EJ, Rezvani K, Alousi AM, Chemaly RF, Shelburne S, Vence LM, Okhuysen PC, Jensen VB, Swennes AG, McAllister F, Marcelo Riquelme Sanchez E, Zhang Y, Le Chatelier E, Zitvogel L, Pons N, Austin-Breneman JL, Haydu LE, Burton EM, Gardner JM, Sirmans E, Hu J, Lazar AJ, Tsujikawa T, Diab A, Tawbi H, Glitza IC, Hwu WJ, Patel SP, Woodman SE, Amaria RN, Davies MA, Gershenwald JE, Hwu P, Lee JE, Zhang J, Coussens LM, Cooper ZA, Futreal PA, Daniel CR, Ajami NJ, Petrosino JF, Tetzlaff MT, Sharma P, Allison JP, Jenq RR, Wargo JA (2018) Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients. Science (New York, NY) 359(6371):97–103. https://doi.org/10.1126/science.aan4236

    Article  CAS  Google Scholar 

  47. Mirsoian A, Murphy WJ (2015) Obesity and cancer immunotherapy toxicity. Immunotherapy 7(4):319–322. https://doi.org/10.2217/imt.15.12

    Article  CAS  PubMed  Google Scholar 

  48. Berg AH, Scherer PE (2005) Adipose tissue, inflammation, and cardiovascular disease. Circ Res 96(9):939–949. https://doi.org/10.1161/01.Res.0000163635.62927.34

    Article  CAS  PubMed  Google Scholar 

  49. Conforti F, Pala L, Bagnardi V, De Pas T, Martinetti M, Viale G, Gelber RD, Goldhirsch A (2018) Cancer immunotherapy efficacy and patients’ sex: a systematic review and meta-analysis. Lancet Oncol 19(6):737–746. https://doi.org/10.1016/s1470-2045(18)30261-4

    Article  CAS  PubMed  Google Scholar 

  50. Schreiber RD, Old LJ, Smyth MJ (2011) Cancer immunoediting: integrating immunity’s roles in cancer suppression and promotion. Science (New York, NY) 331(6024):1565–1570. https://doi.org/10.1126/science.1203486

    Article  CAS  Google Scholar 

  51. Menzies AM, Johnson DB, Ramanujam S, Atkinson VG, Wong ANM, Park JJ, McQuade JL, Shoushtari AN, Tsai KK, Eroglu Z, Klein O, Hassel JC, Sosman JA, Guminski A, Sullivan RJ, Ribas A, Carlino MS, Davies MA, Sandhu SK, Long GV (2017) Anti-PD-1 therapy in patients with advanced melanoma and preexisting autoimmune disorders or major toxicity with ipilimumab. Ann Oncol: Off J Eur Soc Med Oncol 28(2):368–376. https://doi.org/10.1093/annonc/mdw443

    Article  CAS  Google Scholar 

  52. Schneider G, Kirschner MA, Berkowitz R, Ertel NH (1979) Increased estrogen production in obese men. J Clin Endocrinol Metab 48(4):633–638. https://doi.org/10.1210/jcem-48-4-633

    Article  CAS  PubMed  Google Scholar 

  53. Kyrgiou M, Kalliala I, Markozannes G, Gunter MJ, Paraskevaidis E, Gabra H, Martin-Hirsch P, Tsilidis KK (2017) Adiposity and cancer at major anatomical sites: umbrella review of the literature. BMJ 356:j477. https://doi.org/10.1136/bmj.j477

    Article  PubMed  PubMed Central  Google Scholar 

  54. Park Y, Colditz GA (2017) Fresh evidence links adiposity with multiple cancers. BMJ 356:j908. https://doi.org/10.1136/bmj.j908

    Article  PubMed  Google Scholar 

Download references

Funding

None.

Author information

Authors and Affiliations

Authors

Contributions

X.L.P and Y.Y.F designed the study. Y.Y.F, J.C, and P.K.W designed the statistical plan. Y.Y.F performed the key analyses. Y.Y.F, J.C, and P.K.W generated and collected the data. H.W.Z, W.L, and J.Y.N assisted in data interpretation. Y.Y.F wrote the manuscript. X.L.P revised the manuscript.

Corresponding author

Correspondence to Liangping Xia.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

As this study was based on published data, no ethics approval was sought for the study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 61 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

You, Y., Jiang, C., Peng, K. et al. The predictive value of body mass index on prognosis and adverse events of cancers treated with immunotherapy: a systematic review and meta-analysis. Cancer Immunol Immunother 70, 2323–2335 (2021). https://doi.org/10.1007/s00262-021-02858-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00262-021-02858-y

Keywords

Navigation