Document Type

Journal Article

Publication Title

Cancers

Volume

15

Issue

5

Publisher

MDPI

School

School of Medical and Health Sciences / Exercise Medicine Research Institute

RAS ID

55055

Funders

National Health and Medical Research Council Centre of Research Excellence (CRE) in Prostate Cancer Survivorship Scholarship (PL)

Comments

Khan, A., Welman, C. J., Abed, A., O’Hanlon, S., Redfern, A., Azim, S., ... & Khattak, A. (2023). Association of computed tomography measures of muscle and adipose tissue and progressive changes throughout treatment with clinical endpoints in patients with advanced lung cancer treated with immune checkpoint inhibitors. Cancers, 15(5), Article 1382. https://doi.org/10.3390/cancers15051382

Abstract

To investigate the association between skeletal muscle mass and adiposity measures with disease-free progression (DFS) and overall survival (OS) in patients with advanced lung cancer receiving immunotherapy, we retrospectively analysed 97 patients (age: 67.5 ± 10.2 years) with lung cancer who were treated with immunotherapy between March 2014 and June 2019. From computed tomography scans, we assessed the radiological measures of skeletal muscle mass, and intramuscular, subcutaneous and visceral adipose tissue at the third lumbar vertebra. Patients were divided into two groups based on specific or median values at baseline and changes throughout treatment. A total number of 96 patients (99.0 %) had disease progression (median of 11.3 months) and died (median of 15.4 months) during follow-up. Increases of 10 % in intramuscular adipose tissue were significantly associated with DFS (HR: 0.60, 95 % CI: 0.38 to 0.95) and OS (HR: 0.60, 95 % CI: 0.37 to 0.95), while increases of 10 % in subcutaneous adipose tissue were associated with DFS (HR: 0.59, 95 % CI: 0.36 to 0.95). These results indicate that, although muscle mass and visceral adipose tissue were not associated with DFS or OS, changes in intramuscular and subcutaneous adipose tissue can predict immunotherapy clinical outcomes in patients with advanced lung cancer.

DOI

10.3390/cancers15051382

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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