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Skeletal Muscle Density as a Predictor of Prognosis and Physical Reserve in Patients with Cancer of Unknown Primary.

作者信息

Lee Kwonjae, Park Se Jun, Kim Joori, Hong Sook Hee, Kim In-Ho, Lee Jieun, Lee Myung Ah, Shin Kabsoo, Mun Han Song

机构信息

Division of Medical Oncology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.

Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.

出版信息

J Clin Med. 2025 Apr 24;14(9):2947. doi: 10.3390/jcm14092947.


DOI:10.3390/jcm14092947
PMID:40363979
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12072687/
Abstract

The Eastern Cooperative Oncology Group (ECOG) Performance Status (PS) is widely used to assess patient status but relies on subjective judgment and may not fully reflect their physical reserve. While studies have shown that skeletal muscle quality and quantity are associated with patient prognosis, their role in cancers of unknown primary (CUP) remains unclear. Therefore, this study aimed to investigate whether computed tomography (CT)-based skeletal muscle indicators reflect physical reserve and their prognostic value in patients with CUP. This study enrolled 184 patients with CUP, comprising both inpatients and outpatients, who were diagnosed at Seoul St. Mary's Hospital between 1 January 2008, and 30 June 2024. Overall survival (OS) was evaluated using the Kaplan-Meier method and analyzed using the log-rank test. Univariate and multivariate analyses were performed using Cox proportional hazard models. Statistical significance was defined as < 0.05. Correlation analyses were conducted to evaluate the relationships between skeletal muscle density (SMD), skeletal muscle index (SMI), and other prognostic factors. SMD was positively correlated with SMI and negatively correlated with age, neutrophil-to-lymphocyte ratio, Charlson Comorbidity Index (CCI), and ECOG-PS. Jonckheere's trend test revealed that SMD decreased significantly as CCI and ECOG-PS increased ( < 0.001), indicating that a higher comorbidity burden and poorer performance status were associated with lower SMD. Both ECOG-PS and SMD were identified as prognostic factors in the univariate analysis of survival; however, only SMD demonstrated statistical significance regarding prognostic value in the multivariate analysis ( = 0.004) SMD, as a measure of muscle quality, demonstrates superior prognostic value compared to the subjective ECOG-PS and may serve as a reliable objective tool for assessing physical reserve in patients with CUP.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e06/12072687/30690b8a58e9/jcm-14-02947-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e06/12072687/62c878577642/jcm-14-02947-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e06/12072687/b58b200c8f37/jcm-14-02947-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e06/12072687/30690b8a58e9/jcm-14-02947-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e06/12072687/62c878577642/jcm-14-02947-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e06/12072687/b58b200c8f37/jcm-14-02947-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e06/12072687/30690b8a58e9/jcm-14-02947-g003.jpg

相似文献

[1]
Skeletal Muscle Density as a Predictor of Prognosis and Physical Reserve in Patients with Cancer of Unknown Primary.

J Clin Med. 2025-4-24

[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
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本文引用的文献

[1]
Low Skeletal Muscle Radiodensity Predicts Response to CDK4/6 Inhibitors Plus Aromatase Inhibitors in Advanced Breast Cancer.

J Cachexia Sarcopenia Muscle. 2025-2

[2]
Impact of Muscle Measures on Outcome in Patients Receiving Endocrine Therapy for Metastatic Breast Cancer: Analysis of ECOG-ACRIN E2112.

J Natl Compr Canc Netw. 2023-9

[3]
Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary.

Nat Med. 2023-8

[4]
Carcinoma of unknown primary (CUP): an update for histopathologists.

Cancer Metastasis Rev. 2023-12

[5]
Cancer of unknown primary: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up.

Ann Oncol. 2023-3

[6]
Charlson Comorbidity Index: A Critical Review of Clinimetric Properties.

Psychother Psychosom. 2022

[7]
Development and Validation of a Novel Nomogram for Individualized Prediction of Survival in Cancer of Unknown Primary.

Clin Cancer Res. 2021-6-15

[8]
Cancer of Unknown Primary Presenting as Bone-Predominant or Lymph Node-Only Disease: A Clinicopathologic Portrait.

Oncologist. 2021-4

[9]
Clinical significance of skeletal muscle density and sarcopenia in patients with pancreatic cancer undergoing first-line chemotherapy: a retrospective observational study.

BMC Cancer. 2021-1-18

[10]
Cancer of unknown primary.

BMJ. 2020-12-7

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