한원식 교수
Wonshik Han
서울대학교 · 생화학·유전·분자생물학
연구실 소개
한원식 교수의 연구실은 유방암의 유전적 기반과 병행된 유전자 이상을 중심으로, 특히 젊은 연령에서의 재발 위험, 삼중음성 유방암(TNBC)의 유전적 특성 및 치료 타겟 탐색에 초점을 맞추고 있습니다. 고해상도 아레이 코어지노믹 하이브리다이제이션(аCGH) 기반의 유전자 복수량 변화 분석을 통해 악성도와 재발 경향을 예측할 수 있는 분자적 지표를 규명하고 있으며, 임상적 적용이 가능한 스크리닝 도구 개발에도 기여하고 있습니다. 특히 비백인 집단의 난이도 높은 유전적 소인 연구를 통해 다문화적 유방암의 기전을 밝히는 데 기여하고 있습니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15Young age (<35) is an independent risk factor for relapse in operable breast cancer patients.
Triple-negative breast cancer (TNBC) is defined by a lack of expression of estrogen, progesterone, and HER2 receptors, and genetically most of them fall into the basal subgroup of breast cancer. The important issue of TNBC is poorer clinical outcome and absence of effective targeted therapy. In this study, we sought to identify DNA copy number alterations and expression of relevant genes characteristic of TNBC to discover potential therapeutic targets. Frozen tissues from 114 breast cancers were
Upstaging was associated with lesions that were large, palpable or high grade. It was also associated with use of the 14-gauge needle method. Our scoring system might be helpful to identify patients who do not require sentinel lymph node biopsy.
Our result is an important contribution to the literature about genetic susceptibility for breast cancer in nonwhite populations.
ClinicalTrials.gov, NCT04303715 . Registered on March 11, 2020.
Our array CGH analysis with BAC clones could detect various genomic alterations in ER-positive breast cancers, and Recurrence group samples showed a significantly different pattern of DNA copy number changes than did Non-recurrence group samples.
These results indicate that polymorphisms of some selected breast cancer susceptibility genes are associated with the clinicopathological phenotypes of breast cancer.
Relatively few recurrent gene fusion events have been associated with breast cancer to date. In an effort to uncover novel fusion transcripts, we performed whole-transcriptome sequencing of 120 fresh-frozen primary breast cancer samples and five adjacent normal breast tissues using the Illumina HiSeq2000 platform. Three different fusion-detecting tools (deFuse, Chimerascan, and TopHatFusion) were used, and the results were compared. These tools detected 3,831, 6,630 and 516 fusion transcripts (F
In this study, we provide genetic characterization and potential therapeutic target for this rare, potentially lethal disease. Further large-scale comprehensive genetic study and functional validation are warranted.
Our results suggest that the currently identified genetic polymorphisms of HER-2 are not associated with an increased risk of breast cancer in Korean women, whereas one haplotype does affect protein expression of the tumor and disease outcome.
The accuracy of MRI in predicting residual tumor extent was lowest in ER-positive tumors treated with NST. In HER2-positive tumors, the use of HER2-targeted agents resulted in a less accurate MRI after NST. These factors should be considered for deciding the extent of breast conservation after neoadjuvant chemotherapy.
Genetic variation in DNA repair genes involved in NER mechanisms increased the risk of BC development. These results suggested that a stronger combined effect of SNPs via gene-gene interaction may help to predict BC risk.
Epitranscriptomic features, such as single-base RNA editing, are sources of transcript diversity in cancer, but little is understood in terms of their spatial context in the tumour microenvironment. Here, we introduce spatial-histopathological examination-linked epitranscriptomics converged to transcriptomics with sequencing (Select-seq), which isolates regions of interest from immunofluorescence-stained tissue and obtains transcriptomic and epitranscriptomic data. With Select-seq, we analyse th
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