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Serial proteomic analysis identifies small extracellular vesicle-MASP2 as an early biomarker of chemotherapy response in advanced pancreatic cancer.

1/5 보강
Translational oncology 📖 저널 OA 100% 2023: 3/3 OA 2024: 13/13 OA 2025: 72/72 OA 2026: 103/103 OA 2023~2026 2026 Vol.64() p. 102636 OA
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
추출되지 않음
I · Intervention 중재 / 시술
proteomic profiling by mass spectrometry (MS)
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSIONS] Complement pathway activity tracks with chemotherapy response and resistance in PC. Changes in sEV-MASP2 may serve as an early predictive/prognostic biomarker, helping to improve decision making in this lethal malignancy.

Dey S, Pandya D, Lo T, Narbutas R, Khandpur B, Krumholtz P

📝 환자 설명용 한 줄

[BACKGROUND] The average survival of advanced pancreatic cancer (APC) is 6-12 months with first-line chemotherapy.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value p = 0.0037

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↓ .bib ↓ .ris
APA Dey S, Pandya D, et al. (2026). Serial proteomic analysis identifies small extracellular vesicle-MASP2 as an early biomarker of chemotherapy response in advanced pancreatic cancer.. Translational oncology, 64, 102636. https://doi.org/10.1016/j.tranon.2025.102636
MLA Dey S, et al.. "Serial proteomic analysis identifies small extracellular vesicle-MASP2 as an early biomarker of chemotherapy response in advanced pancreatic cancer.." Translational oncology, vol. 64, 2026, pp. 102636.
PMID 41389674 ↗

Abstract

[BACKGROUND] The average survival of advanced pancreatic cancer (APC) is 6-12 months with first-line chemotherapy. Only one-third receive second-line treatment. No early biomarker exists to guide chemotherapy efficacy before tumor progression occurs. Circulating small extracellular vesicles (sEVs) are a potential source of biomarker discovery.

[METHODS] Longitudinally collected sEVs from chemotherapy treated APC patients at pre-treatment, remission and relapse underwent proteomic profiling by mass spectrometry (MS). GO and KEGG analyses assessed differential protein characteristics, while protein-protein interactions and upstream analyses explored potential mechanisms. A candidate biomarker was validated by ELISA in larger patient cohorts of responders and non-responders. Gene knock-down and overexpression studies and tumor immunohistochemistry (IHC) evaluated potential function and localization.

[RESULTS] MS identified 34 proteins unique to remission, 132 unique to treatment resistance, and 9 differential across both phases. Complement cascade alterations best reflected response to treatment. Lectin pathway component MASP2 (Mannose-Binding Lectin-Associated Serine Protease 2) emerged as a predictive biomarker: >20 % decline in sEV-MASP2 levels at month 2 (M2) of chemotherapy predicted response in 72 % of responders, whereas >20 % increase predicted treatment resistance in 73 % of non-responders. sEV-MASP2 at M2 was prognostic for survival (11 vs. 8 months; p = 0.0037), unlike CA 19-9 (11 vs. 12 months) and retained significance when CA 19-9 was unevaluable. Functional data indicated that sEV-MASP2 alterations largely reflect systemic rather than tumor site-specific activity.

[CONCLUSIONS] Complement pathway activity tracks with chemotherapy response and resistance in PC. Changes in sEV-MASP2 may serve as an early predictive/prognostic biomarker, helping to improve decision making in this lethal malignancy.

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