본문으로 건너뛰기
← 뒤로

Impact of Skeletal Muscle-related Parameters on Survival in Patients with Advanced Pancreatic Cancer Treated with Gemcitabine plus Nab-paclitaxel as First-line Chemotherapy.

1/5 보강
Journal of Cancer 📖 저널 OA 100% 2021: 1/1 OA 2022: 7/7 OA 2023: 2/2 OA 2024: 10/10 OA 2025: 54/54 OA 2026: 44/44 OA 2021~2026 2026 Vol.17(3) p. 604-613
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 3/4)

유사 논문
P · Population 대상 환자/모집단
46 patients, 37 were eligible.
I · Intervention 중재 / 시술
gemcitabine plus nab-paclitaxel (GnP) as the first-line therapy at our hospital between 2018 and 2021
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
In multivariate analysis, the presence of ascites (P < 0.01), PMI-low (P = 0.02), and FRPM-high (P = 0.03) were independent adverse prognostic factors for OS. [CONCLUSION] Muscle-related parameters may be independent indicators of poor prognosis in patients with PC treated with first-line GnPs.

Matsuo N, Yamaguchi T, Yukami H, Kodama H, Ikegami T, Kadono T, Kameisihi S, Okemoto D, Fakhrejahani E, Nishikawa H

📝 환자 설명용 한 줄

[BACKGROUND] Sarcopenia, defined as a reduction in muscle mass assessed using scales such as the psoas muscle mass index (PMI), is accompanied by decreased muscle strength or physical function.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value P < 0.01
  • 95% CI 0.18-0.76
  • HR 0.36

이 논문을 인용하기

↓ .bib ↓ .ris
APA Matsuo N, Yamaguchi T, et al. (2026). Impact of Skeletal Muscle-related Parameters on Survival in Patients with Advanced Pancreatic Cancer Treated with Gemcitabine plus Nab-paclitaxel as First-line Chemotherapy.. Journal of Cancer, 17(3), 604-613. https://doi.org/10.7150/jca.126673
MLA Matsuo N, et al.. "Impact of Skeletal Muscle-related Parameters on Survival in Patients with Advanced Pancreatic Cancer Treated with Gemcitabine plus Nab-paclitaxel as First-line Chemotherapy.." Journal of Cancer, vol. 17, no. 3, 2026, pp. 604-613.
PMID 41869452 ↗
DOI 10.7150/jca.126673

Abstract

[BACKGROUND] Sarcopenia, defined as a reduction in muscle mass assessed using scales such as the psoas muscle mass index (PMI), is accompanied by decreased muscle strength or physical function. However, sarcopenia's effect in patients with pancreatic cancer (PC) receiving chemotherapy remains unclear. In addition, recent international studies have demonstrated that intramuscular fat infiltration, assessed using parameters such as FRPM, is associated with poor prognosis across various malignancies. However, evidence regarding its prognostic significance in pancreatic cancer remains limited. We aimed to evaluate the relationship between sarcopenia and the prognosis of patients with PC receiving palliative chemotherapy.

[METHODS] We retrospectively reviewed patients diagnosed with unresectable PC who received gemcitabine plus nab-paclitaxel (GnP) as the first-line therapy at our hospital between 2018 and 2021. We calculated PMI, defined as the sum of the bilateral psoas muscle mass at the lumbar three (L3) level and FRPM, defined as the sum of areas within the psoas muscles corresponding to fat at the L3 level from Vincent® on the CT images. We compared the overall survival (OS) between the PMI-high and PMI-low groups and the FRPM-high and FRPM-low groups.

[RESULTS] Of 46 patients, 37 were eligible. Eighteen (49%) and 19 (51 %) patients were classified into PMI-high and PMI-low groups, respectively. Twenty (54%) and 17 patients (46%) were classified into FRPM-high and FRPM-low groups, respectively. The median OS was 16.4 months in PMI-high and 8.7 months in PMI-low groups (hazard ratio [HR]: 0.45, 95% confidence interval [CI]: 0.23-0.90, P < 0.01). The median OS was 15.6 months in FRPM-low and 8.5 months in FRPM-high groups (HR: 0.36, 95% CI: 0.18-0.76, P < 0.01). In multivariate analysis, the presence of ascites (P < 0.01), PMI-low (P = 0.02), and FRPM-high (P = 0.03) were independent adverse prognostic factors for OS.

[CONCLUSION] Muscle-related parameters may be independent indicators of poor prognosis in patients with PC treated with first-line GnPs.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반

🟢 PMC 전문 열기