주요 논문
3
*2026년 기준 최근 6년 이내 논문에 한해 Impact Factor가 표기됩니다.
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article
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인용수 0
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20251889P AI-powered analysis of serum proteomics for forecasting immune-related adverse events (irAEs) in immunotherapy-treated NSCLC
Juan Song, Lucia Kim, Sung Young Kim, Tae Hyun Um, Amy Cho, Leland Chung, Jungwha Lee, Y.K. Chae
Annals of Oncology
https://doi.org/10.1016/j.annonc.2025.08.2513
Adverse effect
Proteomics
MEDLINE
Risk assessment
Text mining
2
review
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gold
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인용수 162·
2023Endothelial senescence in vascular diseases: current understanding and future opportunities in senotherapeutics
Yeaeun Han, Sung Young Kim
IF 9.5 (2023)
Experimental & Molecular Medicine
Senescence compromises the essential role that the endothelium plays in maintaining vascular homeostasis, so promoting endothelial dysfunction and the development of age-related vascular diseases. Their biological and clinical significance calls for strategies for identifying and therapeutically targeting senescent endothelial cells. While senescence and endothelial dysfunction have been studied extensively, distinguishing what is distinctly endothelial senescence remains a barrier to overcome for an effective approach to addressing it. Here, we review the mechanisms underlying endothelial senescence and the evidence for its clinical importance. Furthermore, we discuss the current state and the limitations in the approaches for the detection and therapeutic intervention of target cells, suggesting potential directions for future research.
https://doi.org/10.1038/s12276-022-00906-w
Senescence
Endothelial dysfunction
Endothelium
Cellular senescence
Homeostasis
Biology
Medicine
Neuroscience
Immunology
Bioinformatics
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2022Abstract P2-10-07: Prediction of menstruation recovery timing in premenopausal breast cancer patients taking tamoxifen after chemotherapy: An ASTRRA substudy
Young Joo Lee, Woo C Noh, Seok Jin Nam, Byeong‐Woo Park, Eun S. Lee, Seock Ah Im, Yong Sik Jung, Jung Han Yoon, Sung Soo Kang, Kyong Hwa Park, Soo-Jung Lee, Min Hyung Lee, Joon Jeong, Sung Young Kim, Hyun‐Ah Kim, Sehwan Han, Wonshik Han, Min Hur, Seon‐Ok Kim, Sei Hyun Ahn, Hee Jeong Kim
IF 11.2 (2022)
Cancer Research
Abstract Introduction Addition of ovarian function suppression to conventional endocrine therapy alone in premenopausal women provides a survival benefit with moderate to high risk hormone-receptor positive breast cancer, especially who received chemotherapy Prediction of menstruation recovery after chemotherapy is important for deciding subsequent endocrine treatment and addressing fertility issues. Methods In the adding OFS after chemotherapy trial (ASTRRA), patients who resumed ovarian function up to 2 years after chemotherapy were randomized to receive either 5 years of tamoxifen or adding 2 years of OFS with tamoxifen. With these 1383 patients, we developed a model that predicts when patients recover menstruation within 3 years after chemotherapy using several variables including age, BMI, chemotherapy regimen and duration, serum E2 and FSH level. Results A total of 1017 patients data were used to develop prediction model and 366 patients data were used for external validation. In development group, 546 (53.6%) patients resumed menstruation during follow up period of 5 years. In multivariable analysis, younger age and AC based regimen without taxane were strong predictive factor for menstruation recovery. However predictive value of chemotherapy regimen was not constant over time. Therefore, we conducted another model with patients (n= 624) who did not recover menstruation within one year. In this patient group, predictive factors for menstruation recovery was age and serum E2 level at 6 months after chemotherapy. We also conducted a simplified scoring system to estimate change of recovery by using risk factors mentioned above. Conclusion Younger age is an important persisting factor predicting menstrual recovery after chemotherapy. Although chemotherapy regimen predicts shor-term menstrual recovery, over time, patient factors have more predictive influence on recovery. Recovery of serum E2 level would be important to predict subsequent menstruation recovery. Citation Format: Young Joo Lee, Woo C Noh, Seok J Nam, Byeong-Woo Park, Eun S Lee, Seock A Im, Yong S Jung, Jung H Yoon, Sung S Kang, Kyong H Park, Soo-Jung Lee, Min H Lee, Joon Jeong, Sung Y Kim, Hyun-Ah Kim, Se-Hwan Han, Wonshik Han, Min H Hur, Seonok Kim, Sei-hyun Ahn, Hee J Kim. Prediction of menstruation recovery timing in premenopausal breast cancer patients taking tamoxifen after chemotherapy: An ASTRRA substudy [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P2-10-07.
https://doi.org/10.1158/1538-7445.sabcs21-p2-10-07
Tamoxifen
Medicine
Menstruation
Regimen
Chemotherapy
Breast cancer
Internal medicine
Amenorrhea
Oncology
Gynecology