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. Author manuscript; available in PMC: 2018 Nov 1.
Published in final edited form as: Proc Nutr Soc. 2018 Jun 4;77(4):382–387. doi: 10.1017/S0029665118000423

Clinical implications of low skeletal muscle mass in early stage breast and colorectal cancer

Elizabeth Cespedes Feliciano 1, Wendy Y Chen 2,3
PMCID: PMC6197885  NIHMSID: NIHMS962812  PMID: 29860952

Abstract

Although obesity has now been widely accepted to be an important risk factor for cancer survival, the associations between body mass index and cancer mortality have not been consistently linear. Although morbid obesity has clearly been associated with worse survival, some studies have suggested a U-shaped association with no adverse association with overweight or lower levels of obesity. This “obesity paradox” may be due to the fact that body mass index likely incompletely captures key measures of body composition, including distribution of skeletal muscle and adipose tissue. Fat and lean body mass can be measured using clinically acquired CT scans. Many of the earlier studies focused on patients with metastatic cancer. However, skeletal muscle loss in the metastatic setting may reflect end stage disease processes. Therefore, this article focuses on the clinical implication of low skeletal muscle mass in early stage non-metastatic breast and colorectal cancer where measures of body composition have been shown to be strong predictors of disease-free survival and overall survival and also chemotherapy toxicity and operative risk.

Introduction

Although obesity has now been widely accepted to be an important risk factor for cancer survival 1, the associations between body mass index and cancer mortality have not been consistently linear. Although morbid obesity (>35 kg/m2) has clearly been associated with worse survival, some studies have suggested a U-shaped association with no adverse association with normal/overweight, but worse outcomes with both underweight and higher levels of obesity. This “obesity paradox” may be due to the fact that body mass index likely incompletely captures key measures of body composition, including distribution of skeletal muscle and adipose tissue.2 Fat and lean body mass can be measured in a variety of ways, including bioelectrical impedance electrical analysis, dual energy x-ray absorptiometry, magnetic resonance imaging, and computed tomography (CT) scans. With the exception of CT scans, most of the other types of scans are not routinely done on patients in the clinical setting. On the other hand, clinically acquired CT scans can be used to estimate both the muscle and adipose tissue compartments with high accuracy and are often done for staging or planning purposes at diagnosis and surveillance for a variety of early stage cancers, facilitating the incorporation of assessment of body composition into routine clinical care.3 Skeletal muscle mass can be precisely estimated from single-slice axial CT images at the third lumbar vertebra (L3). It should be noted that the cutpoints used to define sarcopenia (or low muscle mass) have varied considerably across studies, making cross-study comparisons difficult at times.3 Many of the earlier studies focused on patients with metastatic cancer where serial CT scans are readily available. However, skeletal muscle loss in the metastatic setting may reflect end stage disease processes that may not be generalizable to the non-metastatic setting and may not be easily reversible. Therefore, this article will focus on the clinical implication of low skeletal muscle mass in early stage non-metastatic breast and colorectal cancer where there may still be actionable findings and potential insights into mechanisms.

Potential mechanisms relating body composition and survival

While the precise mechanisms linking skeletal muscle to survival after a cancer diagnosis are not established, it is likely that skeletal muscle operates through physiologic and metabolic (e.g., inflammation) as well as behavioral (e.g., reduced physical activity due to de-conditioning and fatigue) pathways. Skeletal muscle has local autocrine and paracrine, and endocrine effects, but also secretes cytokines and other myokines (including interleukin (IL)-6, IL-8, IL-15, and leukemia inhibitory factor) leading to systemic effects.5 Therefore, higher levels of muscle may decrease the impact of obesity-induced inflammation,6 whereas lower levels of muscle could lead to local and systemic inflammation.7 Several studies suggest that systemic inflammation may lead to ongoing muscle loss in cancer patients and in part drive the associations with cancer survival.8,9 In vitro studies also highlight the key role of inflammation. For example, exercise-induced myokines released from skeletal muscle, such as interleukin-6, suppress tumor growth.10 Loss of muscle may also disrupt oxidative pathways, encouraging tumor growth.11 Muscle is also an important target of insulin-mediated glucose uptake and low muscle mass may be associated with insulin resistance.12,13 Finally, low skeletal muscle may influence survival after a cancer diagnosis by its impact on other crucial cancer outcomes such as surgical complications and treatment-related toxicity leading to chemotherapy dose modifications or interruptions, which will be discussed in the following sections.

Colorectal cancer

Colorectal cancer is the second leading cause of cancer death both in the United Kingdom14 and in the United States.15 The search for modifiable risk factors to improve rates of recurrence and survival is therefore a public health priority. Overwhelmingly, the focus in early-stage colorectal cancer has been on excess adiposity with less attention to another major component of body composition: skeletal muscle mass. However, accumulating evidence suggests that low skeletal muscle mass at colorectal cancer diagnosis, often referred to as sarcopenia or myopenia, is highly prevalent and associated with cancer recurrence, survival, surgical complications and treatment-related toxicities. Studies using this technique included heterogeneous patient populations and variable cut-points to define “low” skeletal muscle mass, leading to a wide range of prevalence estimates (from 17%16 to 60%17) for sarcopenia.

Association with cancer recurrence and survival

Multiple studies evaluate the association of low skeletal muscle mass at colorectal cancer diagnosis with overall and recurrence-free survival.2,5,18, 19, 20 Fewer have examined colorectal cancer-specific survival in non-metastatic patients..2 One meta-analysis combined the results of three small studies, two of which were in metastatic colorectal cancer patients, and reported that low skeletal muscle at colorectal cancer diagnosis was associated with a more than two-fold risk of overall mortality (hazard ratio (HR)=2.25; 95% confidence interval (CI)=1.63–3.09).18 The largest non-metastatic cohort study published to date included 3,262 stage I-III colorectal patients diagnosed 2006–2011 and reported that patient with sarcopenia at diagnosis were at increased risk of both overall mortality (HR=1.27; 95% CI=1.09–1.48) and colorectal cancer-specific mortality (HR=1.46; 95% CI=1.19–1.79). This study utilized optimal stratification to determine BMI and gender specific cutpoints for sarcopenia (normal/overweight men <52.3 and women <38.6 cm2/m2 and obese men <54.3 and women < 46.6 cm2/m2).2 While heterogeneity in study design and patient population complicates the interpretation of this body of evidence and precludes a comprehensive meta-analysis, most studies report a statistically significant increased mortality for patients with low skeletal muscle mass. 2,5,18, 19, 20 To our knowledge, no study reports a protective association of low skeletal muscle mass.

Association with complications after colorectal cancer surgery

Several authors have reviewed the research on the associations between body composition and adverse cancer outcomes besides survival in colorectal cancer. 1922 In colorectal cancer specifically, multiple studies report higher risk of complications,1923 short-term mortality after surgery1922, and the need for postoperative rehabilitation.23 The largest of these studies was by Malietzas et al who reviewed 805 patients (90% Stage I–III) undergoing elective colorectal cancer surgery resection and found that myopenic obesity was associated with a higher 30 day rate of major complications (22% vs 13%, p=0.019) and mortality (p>0.001).19 Lieffers et al also noted that sarcopenia was an independent predictor of higher rates of infection (Odds ratio (OR) = 4.6; 95% CI=1.5–13.9) and need for inpatient rehabilitation (OR= 3.1, 95% CI=1.04–9.4) among 234 colorectal cancer patients undergoing resection.23 Similarly, studies have also reported longer hospital stays for patients with low skeletal muscle.16,19,23 It should be noted that all of these analyses controlled for BMI and that body composition measures generally outperformed BMI in predicting risk of complications. In sum, the data from the colorectal cancer literature strongly suggest that assessments of body composition and skeletal muscle from CT scans could significantly impact preoperative risk assessment and improve decision-making around selection of candidates for surgery and post-operative treatment.23,24

Associations with Treatment-Related Toxicities

Another important pathway through which low muscle could influence colorectal cancer survival is by reducing the efficacy of life-saving cancer therapies. Low muscle has been associated with treatment toxicities, dose reductions, and early discontinuation of chemotherapy - all of which potentially compromise the effectiveness of adjuvant therapies which are being administered with curative intent.24 Most chemotherapies are dosed based on body surface area (BSA in meters squared, m2), for which the recommended milligrams per m2 are derived from clinical trials assessing dose-limiting toxicities along with efficacy. Yet, many patients still experience severe toxicity and are subsequently dose-reduced, or treatment may be delayed or discontinued early. Multiple studies have shown that non-metastatic colorectal cancer patients with lower skeletal muscle consistently experience higher rates of grade 3/4 toxicity, such as neutropenia, diarrhea, neuropathy, and hand-foot syndrome.2529 Furthermore, another study found that among 533 non-metastatic colon cancer patients receiving FOLFOX chemotherapy, those in the lowest tertile of muscle mass were more likely to be dose-reduced (OR=2.28; 95% CI=1.19–4.36), dose-delayed (OR= 2.24; 95% CI=1.37–3.66), and to discontinue chemotherapy prematurely (OR= 2.34; 95% CI=1.04–5.24), than those in the highest tertile.30

A possible explanation is that lower muscle may result in a smaller tissue volume for distribution of certain cancer therapies, with potentially lower capacity for metabolism and clearance of drugs, thereby leading to greater toxicity. Additionally, BSA dosing does not account for variation in muscularity, which has been hypothesized to influence the pharmacokinetics of chemotherapy.31 To our knowledge, only one study to date has examined the pharmacokinetics of 5-fluorouracil (5-FU) in patients receiving FOLFOX for colorectal cancer chemotherapy; the authors found no significant differences in first cycle 5-FU area-under-the-concentration-time-curve, though patients with a higher dose per kilogram lean body mass experienced greater toxciity.32 Ongoing trials (Clinical trials.gov NCT03291951) are testing the effectiveness of resistance training to increase muscularity and thereby decrease dose-limiting toxicity and increase chemotherapy completion rates among colon cancer patients.

Breast Cancer

Breast cancer is the most common cancer among women both in the United Kingdom14 and United States.15 Obesity is a well-established risk factor for breast cancer incidence and survival, but as described previously, although studies have clearly shown worse mortality with obesity, the association between breast cancer survival and overweight (BMI 25–30) have been less consistent, with some studies showing no adverse effect.3335 Body mass index only incompletely captures the more relevant physiologic measures of skeletal muscle and adipose tissue.

Association with cancer recurrence and survival

We conducted the largest study of the association of measures of body composition with breast cancer survival in the non-metastatic setting published to date. The study population included 3283 breast cancer survivors diagnosed with Stage II–III breast cancer from 2000–2012. Even in this non-metastatic community-based population, 34% of subjects were sarcopenic (defined as SMI <40 cm2/m2). Patients with sarcopenia showed higher overall mortality (HR=1.46; 95% CI= 1.23–1.74), compared to those without. In addition, patients in the highest tertile of total adipose tissue (TAT) also showed higher overall mortality (HR=1.35; 95% CI =1.08, 1.69), compared to those in the lowest tertile. The highest mortality was seen in the sarcopenic obese, those with both sarcopenia and high TAT (HR= 2.08; 95% CI= 1.44–3.01). BMI alone had a much weaker association with mortality and incorrectly classified some women at risk for adverse outcomes due to body composition.36 Three other studies also evaluated the associations between body composition and survival among non-metastatic breast cancer patients. Before our study, the previous largest study to date included 471 non-metastatic breast cancer patients (stage l–lllA) and showed similar results with worse overall survival with sarcopenia measured by DEXA (HR =2.86; 95% CI= 1.67–4.89). However, all muscle measurements were taken after chemotherapy treatment.37 Del Fabbro et al (2012) analyzed data from 129 non-metastatic breast cancer patients treated with neoadjuvant chemotherapy at MD Anderson Cancer Centre, Texas, USA.38 Sarcopenia was defined as skeletal muscle index ≤ 38.5 cm2/m2 measured by CT. There was a trend towards an association between sarcopenia and chance of pathologic complete response (OR=4.97; 95% CI=0.99–16.87) in the overall population. When limited to patients with a normal BMI (defined as <25 kg/m2), the odds for a response were higher among those with sarcopenia (OR=6.86; 95% CI=1.30–36.04). Although sarcopenia was not associated with overall survival time, patients with sarcopenic obesity had shorter progression-free survival time.38 The smallest study (n=119) found similar results with sarcopenia (defined as skeletal muscle index < 41 cm2/m2 measured on CT) significantly associated with worse disease free (p=0.02) and overall (p=0.05) survival, whereas there was no significant association between BMI and survival.39

Association with chemotherapy toxicity

Several studies have examined the associations between chemotherapy toxicity and body composition in early stage breast cancer. In the largest study published to date, low skeletal muscle index measured by CT was associated with a higher risk of any grade 3/4 toxicity (p=0.0002) among 151 non-metastatic breast cancer patients receiving anthracycline and taxane based chemotherapy. In addition, low skeletal muscle gauge (SMG) (skeletal muscle index multiple by skeletal muscle radiodensity) was associated with a higher risk of grade 3/4 hematologic toxicity (RR=2.12; 95% CI=1.11–4.04), grade 3/4 gastrointestinal toxicity (RR=6.49; 95% CI=1.42–29.63) and hospitalization (RR=1.91; 95% CI=1.00–3.66), even after adjusting for age and body surface area.40 Among 84 Asian breast cancer patients with non-metastatic breast cancer, higher levels of visceral fat was associated with a higher risk of grade 4 leukopenia (p=0.014), whereas lower skeletal muscle index was associated with a trend towards a higher rate of grade 3/4 leukopenia and neutropenia (p=0.051).41 A smaller earlier study of 24 stage II–III breast cancer patients treated with epirubicin based chemotherapy found that lower lean body mass was associated with higher risks of toxicity with differences in pharmacokinetics.42 In combination, these studies suggest that measures of body composition are better predictors of chemotherapy related toxicity than the widely used body surface area. However, none of these studies have looked at the efficacy of chemotherapy dosing based upon body composition parameters.

Intervention studies on body composition among breast cancer patients

In addition to being an important prognostic factor, body composition is also a potentially modifiable risk factor. Several trials have successfully demonstrated this approach in non-metastatic breast cancer patients. The largest study was a multicenter randomized trial of 200 subjects who were randomized to usual care (n=60), aerobic exercise training (n=64), or resistance exercise training (n=66) for the duration of adjuvant chemotherapy. Resistance training was more likely to increase skeletal muscle index and reverse sarcopenia than either usual care or aerobic exercise. Improvement in sarcopenia was also associated with a clinically meaningful improvement in quality of life and fatigue.43 Another randomized trial compared a combined aerobic and resistance exercise program versus usual care among 121 breast cancer survivors taking aromatase inhibitors and reported significant increases in lean body mass and decreases in body fat over 12 months.44 Finally, in an exploratory study, 20 subjects were randomized to either a 16 week aerobic and resistance training program versus delayed control. Exercise participants experienced significant improvements in lean body mass, percent body fat, and fat mass. Inflammatory biomarkers and adipose tissue were examined at baseline and at end of intervention and also showed significant improvement in markers of inflammation with exercise.45

Conclusion/future directions

Even among non-metastatic cancer patients, sarcopenia is highly prevalent. With the wide use of CT scans in cancer staging and diagnosis and the availability of software to automate the process, assessments of body composition should be incorporated as part of routine clinical assessments for patients with early stage breast cancer and colorectal cancer given the strong associations with chemotherapy toxicity and complications and most importantly both disease-free and overall survival. Further research should also focus on deriving clinical cutpoints for sarcopenia that will help to shape clinical care. Body composition measures can be a stronger predictor of surgical complications than body mass index or weight and should be considered as part of pre-operative risk management. Body composition is strongly associated with chemotherapy toxicity and studies should be done in the metastatic setting to look at the efficacy of dosing based upon lean body mass since the goal of chemotherapy in the metastatic setting is palliative and not curative. Body composition is a modifiable factor, as has been shown in multiple randomized trials, and should be considered when designing both nutritional and physical activity interventions for cancer survivors.

Acknowledgments

Research funding was provided by the National Cancer Institute, USA, grant number 5R01CA184953-02.

Footnotes

There are no financial disclosures or conflicts of interest.

References

  • 1.Ligibel JA, Alfano CM, Courneya KS, et al. American Society of Clinical Oncology Position Statement on Obesity and Cancer. J Clin Oncol. 2014;31:3568–3574. doi: 10.1200/JCO.2014.58.4680. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Caan BJ, Meyerhardt JA, Kroenke CH, et al. Explaining the Obesity Paradox: The Association between Body Composition and Colorectal Cancer Survival (C-SCANS Study) Cancer Epidemiology Biomarkers & Prevention. 2017;26:1008–1015. doi: 10.1158/1055-9965.EPI-17-0200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Fearon K, Strasser F, Anker SD, et al. Definition and classification of cancer cachexia: an international consensus. Lancet Oncol. 2011;12:489–95. doi: 10.1016/S1470-2045(10)70218-7. [DOI] [PubMed] [Google Scholar]
  • 4.Shen W, Punyanitya M, Wang Z, et al. Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image. Journal of applied physiology. 2004;97:2333–2338. doi: 10.1152/japplphysiol.00744.2004. [DOI] [PubMed] [Google Scholar]
  • 5.Pratesi A, Tarantini F, Di Bari M. Skeletal muscle: an endocrine organ. Clin Cases Miner Bone Metab. 2013;10:11–14. doi: 10.11138/ccmbm/2013.10.1.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Bekkelund SI, Jorde R. Lean body mass and creatine kinase is associated with reduced inflammation in obesity. Eur J Clin Invest. 2017;47:803–811. doi: 10.1111/eci.12802. [DOI] [PubMed] [Google Scholar]
  • 7.Kalinkovich A, Livshits G. Sarcopenic obesity or obese sarcopenia: a cross talk between age-associated adipose tissue and skeletal muscle inflammation as a main mechanism of the pathogenesis. Ageing Res Rev. 2016;35:200–221. doi: 10.1016/j.arr.2016.09.008. [DOI] [PubMed] [Google Scholar]
  • 8.Feliciano EMC, Kroenke CH, Meyerhardt JA, et al. Association of Systemic Inflammation and Sarcopenia With Survival in Nonmetastatic Colorectal Cancer: Results From the C SCANS Study. JAMA Oncol. 2017;3:e172319. doi: 10.1001/jamaoncol.2017.2319. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Malietzis G, Johns N, Al-Hassi HO, et al. Low muscularity and myosteatosis is related to the host systemic inflammatory response in patients undergoing surgery for colorectal cancer. Ann Surg. 2016;263:320–325. doi: 10.1097/SLA.0000000000001113. [DOI] [PubMed] [Google Scholar]
  • 10.Pedersen L, Idorn M, Olofsson GH, et al. Voluntary running suppresses tumor growth through epinephrine-and IL-6-dependent NK cell mobilization and redistribution. Cell metab. 2016;23:554–562. doi: 10.1016/j.cmet.2016.01.011. [DOI] [PubMed] [Google Scholar]
  • 11.Argiles JM, Busquets S, Stemmler B, et al. Cachexia and sarcopenia: mechanisms and potential targets for intervention. Curr Opin Pharmacol. 2015;22:100–6. doi: 10.1016/j.coph.2015.04.003. [DOI] [PubMed] [Google Scholar]
  • 12.Srikanthan P, Hevener AL, Karlamangla AS. Sarcopenia exacerbates obesity-associated insulin resistance and dysglycemia: findings from the National Health and Nutrition Examination Survey III. PloS one. 2010;5:e10805. doi: 10.1371/journal.pone.0010805. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Prado CM, Lieffers JR, McCargar LJ, et al. Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts: a population-based study. Lancet Oncol. 2008;9:629–635. doi: 10.1016/S1470-2045(08)70153-0. [DOI] [PubMed] [Google Scholar]
  • 14.Cancer Research UK. [Accessed March 2, 2018];Cancer Statistics. 2015 [Google Scholar]
  • 15.Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA: a cancer journal for clinicians. 2018;68:7–30. doi: 10.3322/caac.21442. [DOI] [PubMed] [Google Scholar]
  • 16.Peng PD, van Vledder MG, Tsai S, et al. Sarcopenia negatively impacts short-term outcomes in patients undergoing hepatic resection for colorectal liver metastasis. HPB. 2011;13:439–446. doi: 10.1111/j.1477-2574.2011.00301.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Broughman JR, Williams GR, Deal AM, et al. Prevalence of sarcopenia in older patients with colorectal cancer. J Geriatr Oncol. 2015;6:442–445. doi: 10.1016/j.jgo.2015.08.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Shachar SS, Williams GR, Muss HB, Nishijima TF. Prognostic value of sarcopenia in adults with solid tumours: A meta-analysis and systematic review. Eur J Cancer. 2016;57:58–67. doi: 10.1016/j.ejca.2015.12.030. [DOI] [PubMed] [Google Scholar]
  • 19.Malietzis G, Currie AC, Athanasiou T, et al. Influence of body composition profile on outcomes following colorectal cancer surgery. Br J Surg. 2016;103:572–580. doi: 10.1002/bjs.10075. [DOI] [PubMed] [Google Scholar]
  • 20.Joglekar S, Nau PN, Mezhir JJ. The impact of sarcopenia on survival and complications in surgical oncology: A review of the current literature. J Surg Oncol. 2015;112:503–509. doi: 10.1002/jso.24025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Mei KL, Batsis JA, Mills JB, Holubar SD. Sarcopenia and sarcopenic obesity: do they predict inferior oncologic outcomes after gastrointestinal cancer surgery? Perioper Med. 2016;5:30. doi: 10.1186/s13741-016-0052-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Wagner D, DeMarco MM, Amini N, et al. Role of frailty and sarcopenia in predicting outcomes among patients undergoing gastrointestinal surgery. World J Gastrointest Surg. 2016;8:27–40. doi: 10.4240/wjgs.v8.i1.27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Lieffers JR, Bathe OF, Fassbender K, et al. Sarcopenia is associated with postoperative infection and delayed recovery from colorectal cancer resection surgery. Br J Cancer. 2012;107:931–936. doi: 10.1038/bjc.2012.350. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Vega MC, Laviano A, Pimentel GD. Sarcopenia and chemotherapy-mediated toxicity. Einstein (Sao Paulo, Brazi) 2016;14:580–584. doi: 10.1590/S1679-45082016MD3740. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Prado CM, Baracos VE, McCargar LJ, et al. Body composition as an independent determinant of 5-fluorouracil-based chemotherapy toxicity. Clin Cancer Res. 2007;13:3264–3268. doi: 10.1158/1078-0432.CCR-06-3067. [DOI] [PubMed] [Google Scholar]
  • 26.Jung HW, Kim JW, Kim JY, et al. Effect of muscle mass on toxicity and survival in patients with colon cancer undergoing adjuvant chemotherapy. Support Care Cancer. 2015;23:687–694. doi: 10.1007/s00520-014-2418-6. [DOI] [PubMed] [Google Scholar]
  • 27.Ali R, Baracos VE, Sawyer MB, et al. Lean body mass as an independent determinant of dose-limiting toxicity and neuropathy in patients with colon cancer treated with FOLFOX regimens. Cancer Med. 2016;5:607–616. doi: 10.1002/cam4.621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Barret M, Antoun S, Dalban C, et al. Sarcopenia is linked to treatment toxicity in patients with metastatic colorectal cancer. Nutr Cancer. 2014;66:583–589. doi: 10.1080/01635581.2014.894103. [DOI] [PubMed] [Google Scholar]
  • 29.Chemama S, Bayar MA, Lanoy E, et al. Sarcopenia is associated with chemotherapy toxicity in patients undergoing cytoreductive surgery with hyperthermic intraperitoneal chemotherapy for peritoneal carcinomatosis from colorectal cancer. Ann Surg Oncol. 2016;23:3891–3898. doi: 10.1245/s10434-016-5360-7. [DOI] [PubMed] [Google Scholar]
  • 30.Cespedes Feliciano EM, Lee VS, Prado CM, et al. Muscle mass at the time of diagnosis of nonmetastatic colon cancer and early discontinuation of chemotherapy, delays, and dose reductions on adjuvant FOLFOX: The C-SCANS study. Cancer. 2017;123:4868–4877. doi: 10.1002/cncr.30950. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.McLeay SC, Morrish GA, Kirkpatrick CM, Green B. The relationship between drug clearance and body size: systematic review and meta-analysis of the literature published from 2000 to 2007. Clin Pharmacokin. 2012;51:319–330. doi: 10.2165/11598930-000000000-00000. [DOI] [PubMed] [Google Scholar]
  • 32.Williams GR, Deal AM, Shachar SS, et al. The impact of skeletal muscle on the pharmacokinetics and toxicity of 5-fluorouracil in colorectal cancer. Cancer Chemother Pharmacol. 2018;81:413–417. doi: 10.1007/s00280-017-3487-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Kwan ML, Chen WY, Kroenke CH, et al. Pre–diagnosis body mass index and survival after breast cancer in the After Breast Cancer Pooling Project. Breast Cancer Res Treat. 2012;132:729–739. doi: 10.1007/s10549-011-1914-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Chan DS, Vieira AR, Aune D, et al. Body mass index and survival in women with breast cancer-systematic literature review and meta-analysis of 82 follow-up studies. Ann Oncol. 2014;25:1901–1914. doi: 10.1093/annonc/mdu042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Greenlee H, Unger JM, LeBlanc M, et al. Association between body mass index (BMI) and cancer survival in a pooled analysis of 22 clinical trials. Cancer Epidemiol Biomarkers Prev. 2017;26:21–29. doi: 10.1158/1055-9965.EPI-15-1336. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Caan BJ, Cespedes-Feliciano EM, Prado CM, et al. Adiposity and muscle measured on computed tomography scans are associated with survival among non-metastatic breast cancer patients. JAMA Oncol. 2018 doi: 10.1001/jamaoncol.2018.0137. (in press) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Villasenor A, Ballard-Barbash R, Baumgartner K, et al. Prevalence and prognostic effect of sarcopenia in breast cancer survivors: the HEAL Study. J Cancer Surviv. 2012;6:398–406. doi: 10.1007/s11764-012-0234-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Del Fabbro E, Parsons H, Warneke CL, et al. The relationship between body composition and response to neoadjuvant chemotherapy in women with operable breast cancer. Oncologist. 2012;17:1240–1245. doi: 10.1634/theoncologist.2012-0169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Deluche E, Leobon S, Desport JC, et al. Impact of body composition on outcome in patients with early breast cancer. Support Care Cancer. 2018;26:861–868. doi: 10.1007/s00520-017-3902-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Shachar SS, Deal AM, Weinberg M, et al. Body composition as a predictor of toxicity in patients receiving anthracycline and taxane based chemotherapy for early stage breast cancer. Clin Cancer Res. 2017;23:3537–43. doi: 10.1158/1078-0432.CCR-16-2266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Wong AL, Seng KY, Ong EM, et al. Body fat composition impact the hematologic and pharmacokinetics of doxorubicin in Asian breast cancer patients. Breast Cancer Res Treat. 2014;144:143–52. doi: 10.1007/s10549-014-2843-8. [DOI] [PubMed] [Google Scholar]
  • 42.Prado CM, Lima IS, Baracos VE, et al. An exploratory study of body composition as a determinant of epirubicin pharmacokinetics and toxicity. Cancer Chemotherap Pharmacol. 2011;67:93–101. doi: 10.1007/s00280-010-1288-y. [DOI] [PubMed] [Google Scholar]
  • 43.Adams SC, Segal RJ, McKenzie DC, et al. Impact of resistance and aerobic exercise on sarcopenia and dynpaenia in breast cancer patients receiving adjuvant chemotherapy; a multicenter randomized controlled trial. Breast Cancer Res Treat. 2016;158:497–507. doi: 10.1007/s10549-016-3900-2. [DOI] [PubMed] [Google Scholar]
  • 44.Thomas GA, Cartmel B, Harrigan M, et al. The effect of exercise on body composition and bone mineral density in breast cancer survivors taking aromatase inhibitors. Obesity. 2017;25:346–51. doi: 10.1002/oby.21729. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Deili-Conwright CM, Parmentier JH, Sami M, et al. Adipose tissue inflammation in breast cancer survivors: effects of a 16 week combined aerobic and resistance exercise training intervention. Breast Cancer Res Treat. 2018;168:147–157. doi: 10.1007/s10549-017-4576-y. [DOI] [PMC free article] [PubMed] [Google Scholar]

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