2025. 08.27 (수) ~ 2025. 08.29 (금)
부산항국제전시컨벤션센터(BPEX)
제목 | Serum Exosomal Proteome Analysis Reveals Distinct Biomarkers Related to Surgery and Recurrence in Pancreatic Cancer |
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작성자 | 이예린 (울산대학교) |
발표구분 | 포스터발표 |
발표분야 | 4. Medical / Pharmaceutical Science |
발표자 |
이예린 (울산대학교) |
주저자 | 이예린 (울산대학교) |
교신저자 | |
저자 |
이예린 (울산대학교) |
Pancreatic cancer is one of the most lethal malignancies, with most cases diagnosed at an advanced stage. Current diagnostic tools—such as imaging and biopsy—are often invasive and limited in detecting early-stage or minimal residual disease. Moreover, reliable biomarkers for recurrence monitoring remain insufficient in clinical practice. Circulating exosomes have emerged as a promising, minimally invasive biomarker source, as they encapsulate molecular signatures reflective of the tumor’s physiological and pathological state.
In this study, we aimed to identify
serum-derived exosomal protein biomarkers associated with surgical
intervention. Our goal was to support early diagnosis and recurrence risk
stratification in pancreatic cancer. Exosomes were isolated from paired pre- and
post-operative serum samples of pancreatic cancer patients and subjected to
mass spectrometry-based proteomic profiling using label-free quantitation. A
total of 91 differentially expressed proteins (DEPs) were identified. A
classification model based on elastic net logistic regression using only two
proteins achieved an AUC of 0.999. Additionally, a Random Forest classifier
yielded 100% accuracy in cross-validation, confirming the clear distinction
between surgical statuses. To assess recurrence risk, samples were analyzed
separately. In the pre-operative group, 56 DEPs were identified between
patients with and without recurrence. A model using two selected proteins
achieved an AUC of 1.0. In the post-operative group, 21 DEPs were found, and a
model using eight proteins reached an AUC of 0.99.
Although further validation in larger patient
cohorts is required to overcome overfitting issue in model performance, this
study highlights the clinical applicability of exosome-based proteomic
profiling for monitoring surgical outcomes and predicting recurrence in
pancreatic cancer.
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. RS-2025-02293074). |