This study demonstrated that both S-CXI and P-CXI were significantly associated with progression-free and overall survival in patients with mCRC who were treated with FTD/TPI + Bmab therapy.
Cancer cachexia is a multifactorial syndrome characterized by an ongoing loss of skeletal muscle with or without a decrease in fat mass that cannot be fully reversed by conventional nutritional support5. Cancer cachexia is caused by anorexia, muscle atrophy, and increased energy consumption due to tumor necrosis factor-α and interleukin-69. Evaluation of the muscle mass, body weight, physical function, and nutritional and inflammatory state are important for the assessment of cancer cachexia. Cancer cachexia reportedly accounts for > 30% of the direct causes of death in cancer patients10 and requires careful attention in patients with advanced cancer.
Metabolic changes associated with cancer cachexia may downregulate antitumor immunity11. In addition, cancer cachexia increases the adverse events associated with chemotherapy, leading to insufficient doses of chemotherapy6,12. Furthermore, myokines released from skeletal muscle and exerting antitumor effects may be reduced in patients with cancer cachexia, because patients with cancer cachexia often have a reduced skeletal muscle mass13,14. Therefore, the efficacy of chemotherapy may be lower in patients with cancer cachexia.
The original method for calculating CXI is based on SMI7, but some follow-up reports have calculated CXI based on PMI9,15,16. In this study, both CXI based on SMI and CXI based on PMI were associated with the prognosis. The SMI calculation is complicated because there are many measurement points. On the other hand, PMI is relatively easy to calculate because it only requires measurement of the psoas muscle mass. Furthermore, a strong correlation was observed between SMI and PMI, which is consistent with a previous report by Abbas et al. 17, and PMI is an important indicator of sarcopenia. Therefore, CXI based on PMI is a useful index for clinical application.
In this study, a semi-automatic image analyzer was used to calculate muscle mass, whereas some previous reports have used manually measured long axis × short axis to calculate the psoas muscle mass16. Therefore, the results for the cross-sectional area of the muscle obtained in this study were extremely accurate. In previous reports, the skeletal muscle area and psoas muscle area at the third lumbar vertebra, which has been reported to reflect the muscle mass of the whole body18, were often used to evaluate the muscle area19–21. In contrast, we measured the muscle area at the level of the umbilicus in this study because the image analyzer that we used automatically analyzes muscle mass at the level of the umbilicus. However, because a correlation was observed between the total volume of the psoas muscle calculated by the 3-dimensional analysis and the cross-sectional area of the iliopsoas muscle at the umbilicus level, the cross-sectional area of the iliopsoas muscle at the umbilicus level used in this study may be a valid method for evaluating muscle mass.
The present study was associated with several limitations. This study was principally limited by its small sample size and single-center, retrospective design. In addition, the cutoff value used in this study was a provisional value calculated from the data of the patients who were enrolled in this study. Therefore, large prospective studies should be conducted to confirm our findings and to determine a more accurate cutoff value for CXI as a prognostic marker.