Deterioration in Muscle Mass and Physical Function Differs According to Weight Loss History in Cancer Cachexia

Guro Birgitte Stene, Trude Rakel Balstad, Anne Silja M Leer, Asta Bye, Stein Kaasa, Marie Fallon, Barry Laird, Matthew Maddocks, Tora S Solheim, Guro Birgitte Stene, Trude Rakel Balstad, Anne Silja M Leer, Asta Bye, Stein Kaasa, Marie Fallon, Barry Laird, Matthew Maddocks, Tora S Solheim

Abstract

Background: Muscle mass and physical function (PF) are common co-primary endpoints in cancer cachexia trials, but there is a lack of data on how these outcomes interact over time. The aim of this secondary analysis of data from a trial investigating multimodal intervention for cancer cachexia (ClinicalTrials.gov: NCT01419145) is to explore whether changes in muscle mass and PF are associated with weight loss and cachexia status at baseline.

Methods: Secondary analysis was conducted using data from a phase II randomized controlled trial including 46 patients with stage III-IV non-small cell lung cancer (n = 26) or inoperable pancreatic cancer (n = 20) due to commence chemotherapy. Cachexia status at baseline was classified according to international consensus. Muscle mass (assessed using computed tomography (CT)) and PF outcomes, i.e., Karnofsky performance status (KPS), self-reported PF (self-PF), handgrip strength (HGS), 6-minute walk test (6MWT), and physical activity (PA), were measured at baseline and after six weeks.

Results: When compared according to cachexia status at baseline, patients with no/pre-cachexia had a mean loss of muscle mass (-5.3 cm2, p = 0.020) but no statistically significant change in PF outcomes. Patients with cachexia also lost muscle mass but to a lesser extent (-2.8 cm2, p = 0.146), but demonstrated a statistically significant decline in PF; KPS (-3.8 points, p = 0.030), self-PF (-8.8 points, p = 0.027), and HGS (-2.7 kg, p = 0.026).

Conclusions: Weight loss history and cachexia status at baseline are of importance if one aims to detect changes in PF outcomes in cancer cachexia trials. To improve the use of co-primary endpoints that include PF in future trials, outcomes that have the potential to detect change relative to weight loss should be investigated further.

Keywords: cachexia; cancer; endpoints; grip strength; muscle mass; physical performance; weight loss.

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Scatterplots and Spearman’s Rho correlation coefficients (r) and p-values for skeletal muscle index (SMI) on the X- axis and the following physical function (PF) outcomes on the Y- axis 1. Karnofsky performance scale, 2. Self-reported PF, 3. Six-minute walk test, 4. Handgrip strenght and 5. PA, steps. Correlations are shown for all patients at (A) baseline (BL), (B) 6 weeks (WK 6) and (C) change from baseline to end of trial (∆ BL-WK 6). Statistically significant correlations are highlighted by bold types and the pre-fix * = correlation is significant at the 0.05 level, ** = correlation is significant at the 0.01 level. Sub-group analysis based on cachexia status at baseline are marked by blue dots=no/pre cachexia and red dots=cachexia in the scatter plots and correlation coefficients (r) and p-values are inserted below the plots for each sub-group.
Figure 1
Figure 1
Scatterplots and Spearman’s Rho correlation coefficients (r) and p-values for skeletal muscle index (SMI) on the X- axis and the following physical function (PF) outcomes on the Y- axis 1. Karnofsky performance scale, 2. Self-reported PF, 3. Six-minute walk test, 4. Handgrip strenght and 5. PA, steps. Correlations are shown for all patients at (A) baseline (BL), (B) 6 weeks (WK 6) and (C) change from baseline to end of trial (∆ BL-WK 6). Statistically significant correlations are highlighted by bold types and the pre-fix * = correlation is significant at the 0.05 level, ** = correlation is significant at the 0.01 level. Sub-group analysis based on cachexia status at baseline are marked by blue dots=no/pre cachexia and red dots=cachexia in the scatter plots and correlation coefficients (r) and p-values are inserted below the plots for each sub-group.
Figure 1
Figure 1
Scatterplots and Spearman’s Rho correlation coefficients (r) and p-values for skeletal muscle index (SMI) on the X- axis and the following physical function (PF) outcomes on the Y- axis 1. Karnofsky performance scale, 2. Self-reported PF, 3. Six-minute walk test, 4. Handgrip strenght and 5. PA, steps. Correlations are shown for all patients at (A) baseline (BL), (B) 6 weeks (WK 6) and (C) change from baseline to end of trial (∆ BL-WK 6). Statistically significant correlations are highlighted by bold types and the pre-fix * = correlation is significant at the 0.05 level, ** = correlation is significant at the 0.01 level. Sub-group analysis based on cachexia status at baseline are marked by blue dots=no/pre cachexia and red dots=cachexia in the scatter plots and correlation coefficients (r) and p-values are inserted below the plots for each sub-group.

References

    1. Fearon K., Strasser F., Anker S.D., Bosaeus I., Bruera E., Fainsinger R.L., Jatoi A., Loprinzi C., MacDonald N., Mantovani G., et al. Definition and classification of cancer cachexia: An international consensus. Lancet Oncol. 2011;12:489–495. doi: 10.1016/S1470-2045(10)70218-7.
    1. Vagnildhaug O.M., Balstad T.R., Almberg S.S., Brunelli C., Knudsen A.K., Kaasa S., Thronaes M., Laird B., Solheim T.S. A cross-sectional study examining the prevalence of cachexia and areas of unmet need in patients with cancer. Support. Care Cancer. 2018;26:1871–1880. doi: 10.1007/s00520-017-4022-z.
    1. Fearon K.C. Cancer cachexia: Developing multimodal therapy for a multidimensional problem. Eur. J. Cancer. 2008;44:1124–1132. doi: 10.1016/j.ejca.2008.02.033.
    1. Temel J.S., Abernethy A.P., Currow D.C., Friend J., Duus E.M., Yan Y., Fearon K.C. Anamorelin in patients with non-small-cell lung cancer and cachexia (ROMANA 1 and ROMANA 2): Results from two randomised, double-blind, phase 3 trials. Lancet Oncol. 2016;17:519–531. doi: 10.1016/S1470-2045(15)00558-6.
    1. Crawford J., Prado C.M., Johnston M.A., Gralla R.J., Taylor R.P., Hancock M.L., Dalton J.T. Study Design and Rationale for the Phase 3 Clinical Development Program of Enobosarm, a Selective Androgen Receptor Modulator, for the Prevention and Treatment of Muscle Wasting in Cancer Patients (POWER Trials) Curr. Oncol. Rep. 2016;18:37. doi: 10.1007/s11912-016-0522-0.
    1. Solheim T.S., Laird B.J.A., Balstad T.R., Bye A., Stene G., Baracos V., Strasser F., Griffiths G., Maddocks M., Fallon M., et al. Cancer cachexia: Rationale for the MENAC (Multimodal-Exercise, Nutrition and Anti-inflammatory medication for Cachexia) trial. BMJ Support Palliat. Care. 2018;8:258–265. doi: 10.1136/bmjspcare-2017-001440.
    1. Dobs A.S., Boccia R.V., Croot C.C., Gabrail N.Y., Dalton J.T., Hancock M.L., Johnston M.A., Steiner M.S. Effects of enobosarm on muscle wasting and physical function in patients with cancer: A double-blind, randomised controlled phase 2 trial. Lancet Oncol. 2013;14:335–345. doi: 10.1016/S1470-2045(13)70055-X.
    1. Laird B.J.A., Balstad T.R., Solheim T.S. Endpoints in clinical trials in cancer cachexia: Where to start? Curr. Opin. Support. Palliat. Care. 2018;12:445–452. doi: 10.1097/SPC.0000000000000387.
    1. Bye A., Sjoblom B., Wentzel-Larsen T., Gronberg B.H., Baracos V.E., Hjermstad M.J., Aass N., Bremnes R.M., Flotten O., Jordhoy M. Muscle mass and association to quality of life in non-small cell lung cancer patients. J. Cachexia Sarcopenia Muscle. 2017;8:759–767. doi: 10.1002/jcsm.12206.
    1. Naito T., Okayama T., Aoyama T., Ohashi T., Masuda Y., Kimura M., Shiozaki H., Murakami H., Kenmotsu H., Taira T., et al. Skeletal muscle depletion during chemotherapy has a large impact on physical function in elderly Japanese patients with advanced non-small-cell lung cancer. BMC Cancer. 2017;17:571. doi: 10.1186/s12885-017-3562-4.
    1. Fearon K., Argiles J.M., Baracos V.E., Bernabei R., Coats A., Crawford J., Deutz N.E., Doehner W., Evans W.J., Ferrucci L., et al. Request for regulatory guidance for cancer cachexia intervention trials. J. Cachexia Sarcopenia Muscle. 2015;6:272–274. doi: 10.1002/jcsm.12083.
    1. Srinath R., Dobs A. Enobosarm (GTx-024, S-22): A potential treatment for cachexia. Future Oncol. 2014;10:187–194. doi: 10.2217/fon.13.273.
    1. Obling S.R., Wilson B.V., Pfeiffer P., Kjeldsen J. Home parenteral nutrition increases fat free mass in patients with incurable gastrointestinal cancer. Results of a randomized controlled trial. Clin. Nutr. 2019;38:182–190. doi: 10.1016/j.clnu.2017.12.011.
    1. Brown J.C., Cespedes Feliciano E.M., Caan B.J. The evolution of body composition in oncology-epidemiology, clinical trials, and the future of patient care: Facts and numbers. J. Cachexia Sarcopenia Muscle. 2019;9:1200–1208. doi: 10.1002/jcsm.12379.
    1. Ramage M.I., Skipworth R.J.E. The relationship between muscle mass and function in cancer cachexia: Smoke and mirrors? Curr. Opin. Support. Palliat. Care. 2018;12:439–444. doi: 10.1097/SPC.0000000000000381.
    1. Gale N., Wasley D., Roberts S., Backx K., Nelson A., van Deursen R., Byrne A. A longitudinal study of muscle strength and function in patients with cancer cachexia. Support. Care Cancer. 2018;27:131–137. doi: 10.1007/s00520-018-4297-8.
    1. Solheim T.S., Laird B.J.A., Balstad T.R., Stene G.B., Bye A., Johns N., Pettersen C.H., Fallon M., Fayers P., Fearon K., et al. A randomized phase II feasibility trial of a multimodal intervention for the management of cachexia in lung and pancreatic cancer. J. Cachexia Sarcopenia Muscle. 2017;8:778–788. doi: 10.1002/jcsm.12201.
    1. Yates J.W., Chalmer B., McKegney F.P. Evaluation of patients with advanced cancer using the Karnofsky performance status. Cancer. 1980;45:2220–2224. doi: 10.1002/1097-0142(19800415)45:8<2220::AID-CNCR2820450835>;2-Q.
    1. Skipworth R.J., Stene G.B., Dahele M., Hendry P.O., Small A.C., Blum D., Kaasa S., Trottenberg P., Radbruch L., Strasser F., et al. Patient-focused endpoints in advanced cancer: Criterion-based validation of accelerometer-based activity monitoring. Clin. Nutr. 2011;30:812–821. doi: 10.1016/j.clnu.2011.05.010.
    1. Helbostad J.L., Holen J.C., Jordhoy M.S., Ringdal G.I., Oldervoll L., Kaasa S. European Association for Palliative Care Research, N. A first step in the development of an international self-report instrument for physical functioning in palliative cancer care: A systematic literature review and an expert opinion evaluation study. J. Pain Symptom Manag. 2009;37:196–205. doi: 10.1016/j.jpainsymman.2008.01.011.
    1. Stene G.B., Kaasa S., Helbostad J.L. European Journal of Palliative Care. Hayward Medical Communications; Fordham, UK: 2008. Assessment of Physical Functioning in Palliative Cancer Patients.
    1. Stephens N.A., Gray C., MacDonald A.J., Tan B.H., Gallagher I.J., Skipworth R.J., Ross J.A., Fearon K.C., Greig C.A. Sexual dimorphism modulates the impact of cancer cachexia on lower limb muscle mass and function. Clin. Nutr. 2012;31:499–505. doi: 10.1016/j.clnu.2011.12.008.
    1. Heymsfield S.B., Wang Z., Baumgartner R.N., Ross R. Human body composition: Advances in models and methods. Annu. Rev. Nutr. 1997;17:527–558. doi: 10.1146/annurev.nutr.17.1.527.
    1. Di Sebastiano K.M., Mourtzakis M. A critical evaluation of body composition modalities used to assess adipose and skeletal muscle tissue in cancer. Appl. Physiol. Nutr. Metab. 2012;37:811–821. doi: 10.1139/h2012-079.
    1. Shen W., Punyanitya M., Wang Z., Gallagher D., St-Onge M.P., Albu J., Heymsfield S.B., Heshka S. Total body skeletal muscle and adipose tissue volumes: Estimation from a single abdominal cross-sectional image. J. Appl. Physiol. 2004;97:2333–2338. doi: 10.1152/japplphysiol.00744.2004.
    1. Schaafsma J., Osoba D. The Karnofsky Performance Status Scale re-examined: A cross-validation with the EORTC-C30. Qual. Life Res. 1994;3:413–424. doi: 10.1007/BF00435393.
    1. Aaronson N.K., Ahmedzai S., Bergman B., Bullinger M., Cull A., Duez N.J., Filiberti A., Flechtner H., Fleishman S.B., de Haes J.C., et al. The European Organization for Research and Treatment of Cancer QLQ-C30: A quality-of-life instrument for use in international clinical trials in oncology. J. Natl. Cancer Inst. 1993;85:365–376. doi: 10.1093/jnci/85.5.365.
    1. Fayers P.M., Aaronson N.K., Bjordal K. European Organization for Research and Treatment of Cancer QLQ-C30 Scoring Manual. 3rd ed. EORTC Quality of Life Group; Brussels, Belgium: 1995.
    1. Cella D., Hahn E.A., Dineen K. Meaningful change in cancer-specific quality of life scores: Differences between improvement and worsening. Qual. Life Res. 2002;11:207–221. doi: 10.1023/A:1015276414526.
    1. Schmidt K., Vogt L., Thiel C., Jager E., Banzer W. Validity of the six-minute walk test in cancer patients. Int. J. Sports Med. 2013;34:631–636. doi: 10.1055/s-0032-1323746.
    1. Maddocks M., Byrne A., Johnson C.D., Wilson R.H., Fearon K.C., Wilcock A. Physical activity level as an outcome measure for use in cancer cachexia trials: A feasibility study. Support. Care Cancer. 2010;18:1539–1544. doi: 10.1007/s00520-009-0776-2.

Source: PubMed

3
購読する