ORIGINAL RESEARCH article
Sarcopenia Is Associated With Hematologic Toxicity During Chemoradiotherapy in Patients With Anal Carcinoma
- 1Department of Radiotherapy and Oncology, University Hospital, Goethe University, Frankfurt, Germany
- 2Frankfurt Cancer Institute, Frankfurt, Germany
- 3German Cancer Research Center (DKFZ), Heidelberg, Germany
- 4German Cancer Consortium (DKTK), Frankfurt, Germany
Purpose: Sarcopenia, defined as a loss of muscle mass and quality, has been associated with impaired oncological outcome and treatment toxicities in several malignancies. However, its role in anal squamous cell carcinoma (ASCC) remains less well explored.
Methods/Materials: Planning CT scans were used to measure cross-sectional skeletal muscle area (SMA) to calculate the skeletal muscle index (SMI). The association of sarcopenia with clinical and treatment-related parameters, and toxicity was assessed in 114 patients with ASCC that underwent standard 5-Fluorouracil/Mitomycin C chemoradiotherapy (CRT). The prognostic impact of sarcopenia on local relapse-free survival (LRFS), disease-free survival (DFS), and overall survival was examined using a Cox regression analysis.
Results: 29 (25.4%) patients had sarcopenia. Patients with sarcopenia had lower baseline hemoglobin levels (p = 0.002), worse Karnofsky Performance Status (p = 0.001) lower BMI (p < 0.001), and a significantly lower body surface area (p = 0.03), and lower incidence of involved lymph nodes (p = 0.03). Regarding acute toxicity, sarcopenia was associated with a significantly higher incidence of ≥grade 3leukopenia (OR: 3.5; 95% CI: 1.6–7.5, p = 0.007) and ≥grade 3 thrombopenia (OR: 5.1; 95% CI: 1.3–21, p = 0.018) after CRT. Despite higher hematologic toxicity in sarcopenic patients, total treatment time was similar between patients with and without sarcopenia (median 44 vs 45 days, p = 0.95). There was no significant prognostic impact of sarcopenia on either LRFS, DFS, or OS.
Conclusion: This is the largest study to assess the impact of sarcopenia on toxicity and oncological outcome in patients with ASCC. Increased clinician awareness of higher hematological toxicity risk is needed for sarcopenic patients with ASCC undergoing CRT to facilitate closer monitoring of side effects and earlier introduction of supportive measures. Further prospective studies are needed to elucidate the prognostic role and impact of sarcopenia on CRT-related toxicity in ASCC.
Anal squamous cell carcinoma (ASCC) is associated with human papilloma virus (HPV) infection (1). The standard treatment is primary chemoradiotherapy (CRT) and durable remissions can be achieved in a high proportion of patients with early disease (2). Nevertheless, lymph node positivity, or large tumors are associated with significantly worse outcomes (3, 4). Additionally, patient specific factors such as sex (3) and performance status (5) can impact the prognosis of the patients.
Sarcopenia, defined as loss of muscle quantity and muscle strength, has mainly been recognized as an age-related phenomenon, but is also associated with cancer cachexia (6). In the field of oncology, sarcopenia is defined as a loss of muscle quantity measured as a low appendicular skeletal muscle index (SMI), that can be measured by dual energy x ray absorptiometry (6). Most widely used are computed tomography (CT) scans of the third lumbar area to measure the skeletal muscle area (SMA) to calculate the SMI by adjusting for height. This measurement correlates closely to the whole body muscle quantity (7).
Sarcopenia, measured by CT scans can result in adverse clinical outcome in different tumor types, such as lung cancer, or rectal cancer (8–11). In gastrointestinal cancers, the risk of malnutrition and, in consequence, sarcopenia, is higher due to the associated-eating disorder, vomiting, and/or increased metabolic consumption. A meta-analysis of 70 studies in patients with gastrointestinal cancer showed that pre-treatment sarcopenia is associated with adverse oncological outcome and surgical complications (12). In ASCC, a small retrospective analysis in 64 patients showed an adverse prognostic role of sarcopenia for overall survival (13). In the present study we aimed to validate these findings in a cohort of 114 patients with ASCC treated homogenously with primary, standard CRT. Additionally, we wanted to investigate whether markers of inflammation are associated with sarcopenia, as suggested by the literature (14).
Materials and Methods
Patients and Treatment
156 patients treated between 2007 and 2018 were assessed for eligibility (Figure 1). After exclusion of patients with missing follow up, missing data, other chemotherapy regimens that 5-fluorouracil (5-FU), and mitomycin C (MMC) or CT artifacts we identified 114 patients treated for localized ASCC and staged according to UICC version 7. All patients were treated with CRT with a planned radiotherapy dose of 50–50.4 Gy in 1.8–2 Gy fractions for the primary tumor and elective lymph nodes with an additional radiotherapy boost to gross tumor of 5.4–9 Gy. Intensity modulated radiotherapy (IMRT) for ASCC was implemented in 2011. Patients treated earlier received 3D-conformal radiotherapy (3DCRT). Concurrent chemotherapy consisted of 5-fluorouracil (5-FU, 1000 mg/m2/day, or 800 mg/m2/day) as four- or five-day continuous infusion and MMC given as an intravenous bolus (10 mg/m2) on day one of each cycle. Concurrent chemotherapy was applied in the first and fifth week of CRT. Acute toxicities were assessed weekly as part of the clinical routine using CTCAE (version 3 and 4).
Treatment response was first assessed 8–10 weeks after completion of CRT. Afterward, routine follow-up was performed every 3 months for the first 2 years and 6-month intervals afterward. Routine follow-up examinations included physical and digital rectal examination, proctoscopy, and pelvic imaging. Written consent and approval from the institutional review board was obtained for the present analysis.
CT Based Measurement of Sarcopenia
Planning-CT scans were obtained in supine position from all patients using a BrillianceTM Big Bore Scanner (Philips, Netherlands). Scan parameters were as follows: slice thickness 3 mm, tube voltage 120 kv, FOV 600 mm, and tube current from 250–400 mA. No contrast agents were used. A common landmark for CT based sarcopenia measurement is the third lumbar vertebra (L3). As not all available CT scans included L3, we used L4 as a landmark and used established cut-offs that were derived from a cohort of 735 healthy potential kidney donors (15). A single image from the most inferior aspect of L4 was exported. SMA and SMI were measured using ImageJ (Version 2.0.0-rc-69/1.52p) as described elsewhere in detail (16). In short, the outer and inner abdominal musculature was contoured and both areas were measured, thresholded for skeletal musculature [-29 Hounsfield units (HU) to 150 HU] and subtracted from each other to calculate the SMA at this slice. SMA was then divided by the square of the patient’s height to derive the SMI using the following formula:
(see Figure 2A).
Figure 2. Exemplary image that show contouring of outer and inner musculature area before (left) and after (right) thresholding for skeletal muscle associated Hounsfield units. ∗depicts the skeletal muscle area (SMA) on both images. (A) Scatterplots showing associations between SMI and body mass index (BMI) and baseline hemoglobin levels (B,C).
Measurements were done by DM. Precision was measured in two ways. Repeat measurements were done in a subset of 25 patients (r = 0.998, p < 0.001) and one randomly selected patient was measured five consecutive times (SMA: 122 ± 1.33 cm2; mean ± SD).
Differences between groups were assessed using Fisher’s exact test for categorical variables, if not indicated otherwise. For continuous variables, differences between groups were assessed using Wilcoxon signed rank test. Correlations between continuous variables were assessed using the Pearson correlation coefficient or Spearman’s rank correlation depending on applicability. Body surface area (BSA) was calculated using the Mosteller formula (17). Survival times were calculated from start of CRT to the date of respective events or last follow-up. Local relapse-free survival (LRFS) was calculated using non-complete response at first restaging, locoregional recurrence after initial complete response or death of any cause as event. Disease-free survival (DFS) was calculated using the date of diagnosis of locoregional failure, distant metastases, or death of any cause. OS was assessed from the date of diagnosis with death of any cause as the respective event. Differences in survival were calculated using Cox regression analysis. The assumption of proportional hazard was verified by assessing the scaled Schoenfeld residuals. Z-scores for SMI were calculated for male and female patients separately because of the significant impact of sex on SMI. These z-scores were then used in additional Cox regression analyses. Odds ratios for developing high grade leukopenia or thrombopenia were calculated using logistic regression analysis. All statistical analysis was performed with R (Version 3.5) (18). A p-value < 0.05 was considered significant.
Patient and Treatment Characteristics
Median age of the patients was 58.5 years; 58 were male, and 56 were female. The median body mass index (BMI) was 24.3 kg/m2 and 25 (22%) patients were HIV-positive. The majority (n = 72; 63%) of patients had a T1 or T2 ASCC, and 50% of the patients had positive lymph node(s) at initial presentation. All patients were treated using combined CRT; 95 (83%) patients were treated with IMRT to a median total dose of 59.4 Gy. Median follow-up was 30 months.
Sarcopenia and Clinicopathologic Characteristics
We dichotomized the patients into having sarcopenia or no sarcopenia according to sex and SMI using the established cut-offs at the fourth lumbar vertebrae as previously described, i.e., 41.3 cm2/m2 for male and 34.2 cm2/m2 for female patients (15). As such, 29 (25.4%) of patients were scored as having sarcopenia (Table 1). SMI was positively correlated with BMI (p < 0.001, Figure 2B) and showed a negative correlation with age (R = −0.24, p < 0.01). We found a positive correlation between SMI and baseline hemoglobin levels (p < 0.001, Figure 2C), whereas no significant association between baseline white blood cell count and SMI was observed (p = 0.06).
Table 1. Patient characteristics and association of sarcopenia with clinicopathologic parameters and hematologic toxicities.
Male patients had a significantly higher SMI [47.7 (39.6–55.5) cm2/m2 vs. 38.0 (34.7–42.6) cm2/m2, median, and interquartile range, p < 0.001, Figure 3A]. Although male patients had significantly higher baseline hemoglobin levels (p < 0.001, data not shown), the use of the sex-specific cut-offs showed that patients with sarcopenia had significantly lower baseline hemoglobin independently of sex (p = 0.002, Figure 3B). There was no significant association between the occurrence of sarcopenia and sex, T-Stage or HIV status (Table 1). A higher proportion of patients staged as cN0 had sarcopenia compared to cN + patients (p = 0.03). Additionally, a worse Karnofsky Performance Status (KPS; p = 0.001), a lower BMI (p < 0.001), and a significantly lower BSA (p = 0.03, Table 1) were observed in sarcopenic patients (Table 1).
Figure 3. Male patients had a significantly higher skeletal muscle index (SMI) than female patients (A). The baseline hemoglobin levels in patients with sarcopenia were significantly lower (B).
Patients with sarcopenia had a significantly higher incidence of acute CTCAE grade ≥ 3 leukopenia and thrombopenia during CRT (p = 0.009 and p = 0.025, respectively, Table 2). There was no significant difference between planned and applied dose for 5-FU and MMC, respectively. Additionally, there was no significant difference with regards to any chemotherapy dose reduction (p = 0.074, Table 2). The OR for patients with sarcopenia having ≥ grade 3 leukopenia was 3.5 (95% CI: 1.6–7.5, p = 0.007) and the OR for developing ≥ grade 3 thrombopenia was 5.1 (95% CI: 1.3–21, p = 0.018). Despite more hematologic toxicities in sarcopenic patients, the total treatment time of CRT was similar between patients with and without sarcopenia in our series (median 44 vs 45 days, p = 0.95). Also, sarcopenia did not impact on gastrointestinal or skin toxicity (Table 2).
Table 2. Association of sarcopenia with treatment characteristics and acute toxicity in patients with ASCC after CRT.
Sarcopenia and Clinical Outcome
Cox regression analysis was used to determine the prognostic impact of sarcopenia and other established clinicopathologic parameters. The results are summarized in Table 3. We failed to detect a prognostic impact of sarcopenia for either LRFS, DFS, or OS. Patients with advanced T-Stage, N + disease and male sex had significantly worse outcome for all three oncological endpoints (Table 3). The use of bivariate cut-offs for continuous variables in order to estimate outcome can lead to loss of information and to biased results (19) and should optimally be avoided. In order to evaluate the impact of SMI as continuous variable we calculated z-scores for for SMI in male and female patients separately and did a cox regression analysis using these scores for all end points and found that SMI had no impact on LRFS DFS or OS (Table 4). In order to reproduce the findings of the above mentioned study in ASCC, we performed a separate analysis using the cut-offs specified in the article (13), but there was no association with any of the survival endpoints (data not shown).
Table 4. Multivariate analysis for SMI using z-scores that were calculated for male and female patients separately.
Accumulating evidence indicates an adverse impact of sarcopenia on the prognosis of patients with various malignancies (20), however, in ASCC its role remains less well explored. In the present study, we found that sarcopenia resulted in worse hematological toxicity in patients with ASCC treated with primary CRT. A total of 29 (25.4%) patients in our cohort were scored as having sarcopenia, which is in line with the only other report about sarcopenia in ASCC (13). However, in contrast to this study that reported worse OS in sarcopenic patients, we failed to identify a prognostic role of sarcopenia for either locoregional control, DFS or OS. Additionally, we found no association between treatment outcome and SMI as a continuous variable after adjusting for sex.
Paradoxically, involvement of lymph nodes (cN+) was less common in patients with sarcopenia in our cohort. This is a surprising finding as cN+ status is generally linked to a poor prognosis in ASCC. The study by Bingmer et al. did not report N-stage, although the available AJCC stages suggested a trend toward more advanced stages in non-sarcopenic patients (13). Nevertheless, the reason behind this unexpected finding remains unclear.
We found a positive correlation between SMI and baseline hemoglobin levels. As male patients had significantly higher baseline hemoglobin levels with a higher SMI we additionally analyzed the association between sarcopenia and hemoglobin levels using the sex specific cut-offs, and found that patients with sarcopenia had lower baseline hemoglobin levels independent of sex. This is in line with published data on sarcopenia (21). A link between chronic inflammation and sarcopenia has been proposed (14, 22). Elevated levels of tumor-necrosis factor alpha (TNF-alpha) can lead to activation of the Akt/mTOR pathway, which in turn increases muscle catabolism (23). Another study found a correlation between increased myofibrosis and myosteatosis in human tissue and serum levels of c-reactive protein (CRP) (24). Subsequently, chronic inflammation can lead to anemia through several pathways, e.g., induction of the master regulator of iron homeostasis hepcidin by Interleukin-6 or the inhibition of erythropoietin formation in the kidney mediated by Interleukin-1 and TNF-alpha (25). Nevertheless, we found no correlation between SMI and white blood cell count as a marker of inflammation in our cohort.
Patients with sarcopenia had a higher possibility to develop high grade leukopenia or thrombopenia during CRT, which is in line to previous studies in different malignancies. Sarcopenia was associated with poor chemotherapy tolerance and prolonged treatment breaks in 246 patients with head and neck cancer (26). Another study among various types of cancer also showed higher chemotherapy toxicity in patients with sarcopenia (27), whereas a meta-analysis also revealed higher treatment toxicity in sarcopenic patients with breast cancer (28). Sarcopenia was also associated with more postoperative complications in gastrointestinal cancers (12).
There are no definite pathophysiological explanations for this phenomenon. One possibility for increased hematologic toxicity after CRT could be altered pharmacokinetics in patients with sarcopenia (29, 30). Most chemotherapeutic agents are dosed by BSA without taking body composition into account, which could lead to overdosing. Indeed, a study in patients that were treated with 5-FU and leucovorin for stage II/III colon cancer revealed that a low lean body mass predicted toxicity when 5-FU is dosed per BSA (31). Patients who received more than 20 mg/kg 5-FU per kg lean body mass did not differ in BSA or BMI but had a significantly lower SMI (31). The impact of dose per lean body mass on treatment toxicity of chemotherapy regimens has been subsequently reported in two other cohorts of colorectal cancer patients and in non-small cell lung cancer (32–35). Similar findings were revealed for capecitabine toxicity in breast cancer patients using established sarcopenia measurements instead of lean body mass (36). Mechanistically, another study showed that pharmacokinetic clearance of epirubicin chemotherapy was significantly associated with lean body mass in patients with breast cancer (37). Despite the increased hematological toxicity after CRT sarcopenia did not lead to treatment interruptions in our cohort, which is encouraging as prolonged treatment time can lead to impaired outcome (38).
Our study has limitations. First, we used a different landmark for measurement of SMI compared to other studies that have assessed sarcopenia in cancer patients, although our measurements and cut-offs are supported by a large study in healthy potential kidney donors (15). Secondly, this study constitutes a retrospective analysis that can lead to selection bias.
In conclusion, this is, to the best of our knowledge, the largest study in ASCC patients treated with CRT to assess the role of sarcopenia. Despite the lack of prognostic value, sarcopenia was associated with higher incidence of hematologic toxicity during CRT. Our findings have implications in the clinical setting as increased clinician awareness of higher CRT toxicity risk in sarcopenic patients with ASCC is needed to facilitate closer monitoring of side effects and earlier introduction of supportive measures.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
The studies involving human participants were reviewed and approved by Ethik-Kommission des Universitätsklinikums der Goethe-Universität. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.
DM, CR, and EF contributed to conception and design of the study. DM and JG organized the database. DM and EF performed the statistical analysis. DM wrote the first draft of the manuscript. DM, JG, EF, and CR wrote sections of the manuscript. All authors contributed to manuscript revision, read, and approved the submitted version.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
1. Martin D, Rödel F, Balermpas P, Rödel C, Fokas E. The immune microenvironment and HPV in anal cancer: rationale to complement chemoradiation with immunotherapy. Biochim Biophys Acta. (2017) 1868:221–30. doi: 10.1016/j.bbcan.2017.05.001
2. James RD, Glynne-Jones R, Meadows HM, Cunningham D, Myint AS, Saunders MP, et al. Mitomycin or cisplatin chemoradiation with or without maintenance chemotherapy for treatment of squamous-cell carcinoma of the anus (ACT II): a randomised, phase 3, open-label, 2 × 2 factorial trial. Lancet Oncol. (2013) 14:516–24. doi: 10.1016/S1470-2045(13)70086-X
3. Glynne-Jones R, Sebag-Montefiore D, Adams R, Gollins S, Harrison M, Meadows HM, et al. United Kingdom coordinating committee on cancer research anal cancer trial working party. prognostic factors for recurrence and survival in anal cancer: generating hypotheses from the mature outcomes of the first United Kingdom coordinating committee on cancer research anal cancer trial (ACT I). Cancer. (2013) 119:748–55. doi: 10.1002/cncr.27825
4. Ajani JA, Winter KA, Gunderson LL, Pedersen J, Benson AB, Thomas CR, et al. Prognostic factors derived from a prospective database dictate clinical biology of anal cancer: the intergroup trial (RTOG 98-11). Cancer. (2010) 116:4007–13. doi: 10.1002/cncr.25188
5. Ben-Josef E, Moughan J, Ajani JA, Flam M, Gunderson L, Pollock J, et al. Impact of overall treatment time on survival and local control in patients with anal cancer: a pooled data analysis of Radiation Therapy Oncology Group trials 87-04 and 98-11. J Clin Oncol. (2010) 28:5061–6. doi: 10.1200/JCO.2010.29.1351
6. Fearon K, Strasser F, Anker SD, Bosaeus I, Bruera E, Fainsinger RL, 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
7. Shen W, Punyanitya M, Wang Z, Gallagher D, St-Onge M-P, Albu J, et al. Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image. J Appl Physiol Bethesda Md (1985). (2004) 97:2333–8. doi: 10.1152/japplphysiol.00744.2004
8. Collins J, Noble S, Chester J, Coles B, Byrne A. The assessment and impact of sarcopenia in lung cancer: a systematic literature review. BMJ Open. (2014) 4:e003697. doi: 10.1136/bmjopen-2013-003697
9. Han JS, Ryu H, Park IJ, Kim KW, Shin Y, Kim SO, et al. Association of body composition with long-term survival in non-metastatic rectal cancer patients. Cancer Res Treat Off J Korean Cancer Assoc. (2019) 52:563–72. doi: 10.4143/crt.2019.249
10. Fukuda Y, Yamamoto K, Hirao M, Nishikawa K, Nagatsuma Y, Nakayama T, et al. Sarcopenia is associated with severe postoperative complications in elderly gastric cancer patients undergoing gastrectomy. Gastric Cancer Off J Int Gastric Cancer Assoc Jpn Gastric Cancer Assoc. (2016) 19:986–93. doi: 10.1007/s10120-015-0546-4
11. Huang D-D, Wang S-L, Zhuang C-L, Zheng B-S, Lu J-X, Chen F-F, et al. Sarcopenia, as defined by low muscle mass, strength and physical performance, predicts complications after surgery for colorectal cancer. Colorectal Dis. (2015) 17:O256–64. doi: 10.1111/codi.13067
12. Su H, Ruan J, Chen T, Lin E, Shi L. CT-assessed sarcopenia is a predictive factor for both long-term and short-term outcomes in gastrointestinal oncology patients: a systematic review and meta-analysis. Cancer Imaging. (2019) 19:82. doi: 10.1186/s40644-019-0270-0
13. Bingmer K, Kondray V, Ofshteyn A, Bliggenstorfer JT, Dietz DW, Charles R, et al. Sarcopenia is associated with worse overall survival in patients with anal squamous cell cancer. J Surg Oncol. (2020) 121:1148. doi: 10.1002/jso.25887
14. Bano G, Trevisan C, Carraro S, Solmi M, Luchini C, Stubbs B, et al. Inflammation and sarcopenia: a systematic review and meta-analysis. Maturitas. (2017) 96:10–5. doi: 10.1016/j.maturitas.2016.11.006
15. Derstine BA, Holcombe SA, Ross BE, Wang NC, Su GL, Wang SC. Skeletal muscle cutoff values for sarcopenia diagnosis using T10 to L5 measurements in a healthy US population. Sci Rep. (2018) 8:11369. doi: 10.1038/s41598-018-29825-5
16. Gomez-Perez SL, Haus JM, Sheean P, Patel B, Mar W, Chaudhry V, et al. Measuring abdominal circumference and skeletal muscle from a single cross-sectional computed tomography image: a step-by-step guide for clinicians using national institutes of health ImageJ. J Parenter Enter Nutr. (2016) 40:308–18. doi: 10.1177/0148607115604149
20. Pamoukdjian F, Bouillet T, Lévy V, Soussan M, Zelek L, Paillaud E. Prevalence and predictive value of pre-therapeutic sarcopenia in cancer patients: a systematic review. Clin Nutr Edinb Scotl. (2018) 37:1101–13. doi: 10.1016/j.clnu.2017.07.010
21. Onishi S, Shiraki M, Nishimura K, Hanai T, Moriwaki H, Shimizu M. Prevalence of sarcopenia and its relationship with nutritional state and quality of life in patients with digestive diseases. J Nutr Sci Vitaminol (Tokyo). (2018) 64:445–53. doi: 10.3177/jnsv.64.445
22. Can B, Kara O, Kizilarslanoglu MC, Arik G, Aycicek GS, Sumer F, et al. Serum markers of inflammation and oxidative stress in sarcopenia. Aging Clin Exp Res. (2017) 29:745–52. doi: 10.1007/s40520-016-0626-2
23. Frost RA, Lang CH. Protein kinase B/Akt: a nexus of growth factor and cytokine signaling in determining muscle mass. J Appl Physiol Bethesda Md (1985). (2007) 103:378–87. doi: 10.1152/japplphysiol.00089.2007
24. Zoico E, Corzato F, Bambace C, Rossi AP, Micciolo R, Cinti S, et al. Myosteatosis and myofibrosis: relationship with aging, inflammation and insulin resistance. Arch Gerontol Geriatr. (2013) 57:411–6. doi: 10.1016/j.archger.2013.06.001
26. Ganju RG, Morse R, Hoover A, TenNapel M, Lominska CE. The impact of sarcopenia on tolerance of radiation and outcome in patients with head and neck cancer receiving chemoradiation. Radiother Oncol J Eur Soc Ther Radiol Oncol. (2019) 137:117–24. doi: 10.1016/j.radonc.2019.04.023
27. Jain R, Handorf E, Khare V, Blau M, Chertock Y, Hall MJ. Impact of baseline nutrition and exercise status on toxicity and outcomes in phase I and II oncology clinical trial participants. Oncologist. (2020) 25:161–9. doi: 10.1634/theoncologist.2019-0289
28. Aleixo GFP, Williams GR, Nyrop KA, Muss HB, Shachar SS. Muscle composition and outcomes in patients with breast cancer: meta-analysis and systematic review. Breast Cancer Res Treat. (2019) 177:569–79. doi: 10.1007/s10549-019-05352-3
29. Bozzetti F. Forcing the vicious circle: sarcopenia increases toxicity, decreases response to chemotherapy and worsens with chemotherapy. Ann Oncol Off J Eur Soc Med Oncol. (2017) 28:2107–18. doi: 10.1093/annonc/mdx271
30. Hilmi M, Jouinot A, Burns R, Pigneur F, Mounier R, Gondin J, et al. Body composition and sarcopenia: the next-generation of personalized oncology and pharmacology? Pharmacol Ther. (2019) 196:135–59. doi: 10.1016/j.pharmthera.2018.12.003
31. Prado CMM, Baracos VE, McCargar LJ, Mourtzakis M, Mulder KE, Reiman T, et al. Body composition as an independent determinant of 5-fluorouracil-based chemotherapy toxicity. Clin Cancer Res Off J Am Assoc Cancer Res. (2007) 13:3264–8. doi: 10.1158/1078-0432.CCR-06-3067
32. Ali R, Baracos VE, Sawyer MB, Bianchi L, Roberts S, Assenat E, 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) 5:607–16. doi: 10.1002/cam4.621
33. Sjøblom B, Benth JŠ, Grønberg BH, Baracos VE, Sawyer MB, Fløtten Ø, et al. Drug dose per kilogram lean body mass predicts hematologic toxicity from carboplatin-doublet chemotherapy in advanced non-small-cell lung cancer. Clin Lung Cancer. (2017) 18:e129–36. doi: 10.1016/j.cllc.2016.09.008
34. Sjøblom B, Grønberg BH, Benth JŠ, Baracos VE, Fløtten Ø, Hjermstad MJ, et al. Low muscle mass is associated with chemotherapy-induced haematological toxicity in advanced non-small cell lung cancer. Lung Cancer Amst Neth. (2015) 90:85–91. doi: 10.1016/j.lungcan.2015.07.001
35. Cespedes Feliciano EM, Lee VS, Prado CM, Meyerhardt JA, Alexeeff S, Kroenke CH, 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) 123:4868–77. doi: 10.1002/cncr.30950
36. Prado CMM, Baracos VE, McCargar LJ, Reiman T, Mourtzakis M, Tonkin K, et al. Sarcopenia as a determinant of chemotherapy toxicity and time to tumor progression in metastatic breast cancer patients receiving capecitabine treatment. Clin Cancer Res. (2009) 15:2920–6. doi: 10.1158/1078-0432.CCR-08-2242
37. Prado CMM, Lima ISF, Baracos VE, Bies RR, McCargar LJ, Reiman T, et al. An exploratory study of body composition as a determinant of epirubicin pharmacokinetics and toxicity. Cancer Chemother Pharmacol. (2011) 67:93–101. doi: 10.1007/s00280-010-1288-y
38. Glynne-Jones R, Sebag-Montefiore D, Adams R, McDonald A, Gollins S, James R, et al. UKCCCR anal cancer trial working party. “Mind the gap”–the impact of variations in the duration of the treatment gap and overall treatment time in the first UK Anal Cancer Trial (ACT I). Int J Radiat Oncol Biol Phys. (2011) 81:1488–94. doi: 10.1016/j.ijrobp.2010.07.1995
Keywords: anal cancer, toxicity, outcome, sarcopenia, leukopenia, thrombopenia
Citation: Martin D, von der Grün J, Rödel C and Fokas E (2020) Sarcopenia Is Associated With Hematologic Toxicity During Chemoradiotherapy in Patients With Anal Carcinoma. Front. Oncol. 10:1576. doi: 10.3389/fonc.2020.01576
Received: 07 April 2020; Accepted: 21 July 2020;
Published: 12 August 2020.
Edited by:William Small, Loyola University Chicago, United States
Reviewed by:Vickie Baracos, University of Alberta, Canada
Vinay Sharma, University of the Witwatersrand, South Africa
Copyright © 2020 Martin, von der Grün, Rödel and Fokas. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Daniel Martin, email@example.com