Hyo Song Kim
Yonsei University
173 Papers
699 Citations
Hyo Song Kim is an academic researcher from Yonsei University. The author has contributed to research in topics: Medicine & Cancer. The author has an hindex of 29, co-authored 151 publications. Previous affiliations of Hyo Song Kim include University Health System & Samsung Medical Center.
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Papers
ERCC1 expression as a predictive marker of squamous cell carcinoma of the head and neck treated with cisplatin-based concurrent chemoradiation.
Hyun Jung Jun,Myung-Ju Ahn,Hyo Song Kim,Seong Yoon Yi,Joungho Han,Sohyun Lee,Yong Chan Ahn,Heonkyu Jeong,Y. I. Son,J. H. Baek,Kwan Park +10 more
TL;DR: It is suggested that ERCC1 expression might be a useful predictive marker of locally advanced SCCHN in patients treated with cisplatin-based CCRT in patients with locally advanced squamous cell carcinoma of the head and neck treated with CCRT.
Clinical outcome of gastric cancer patients with bone marrow metastases
Hyo Song Kim,Seong Yoon Yi,Hyun Jung Jun,Jeeyun Lee,Joon Oh Park,Young Suk Park,Junho Jang,Hee Jin Kim,Young-Hyeh Ko,Ho Yeong Lim,Won Ki Kang +10 more
TL;DR: It is suggested that gastric cancer patients with bone marrow metastases should receive more tailored therapies according to different risk factors in order to enhance survival.
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Marked Loss of Muscle, Visceral Fat, or Subcutaneous Fat After Gastrectomy Predicts Poor Survival in Advanced Gastric Cancer: Single-Center Study from the CLASSIC Trial
Hyung Soon Park,Hyung Soon Park,Hyo Song Kim,Seung Hoon Beom,Sun Young Rha,Hyun Cheol Chung,Jee Hung Kim,You Jin Chun,Si Won Lee,Eun Ah Choe,Su Jin Heo,Sung Hoon Noh,Woo Jin Hyung,Jae Ho Cheong,Hyoung Il Kim,Taeil Son,Joon Seok Lim,Song Ee Baek,Minkyu Jung +18 more
TL;DR: Marked loss in body composition parameters significantly predicted shorter DFS and OS among patients with GC who underwent gastrectomy, suggesting postoperative nutrition and active healthcare interventions could improve the prognosis of these GC patients.
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Development and validation of a prognostic and predictive 32-gene signature for gastric cancer
Jae Ho Cheong,Sam C. Wang,Sunho Park,Matthew R. Porembka,Alana Christie,Hyunki Kim,Hyo Song Kim,Hongfu Zhu,Woo Jin Hyung,Sung Hoon Noh,Bo Hu,Changjin Hong,John D. Karalis,Inho Kim,Sung Hak Lee,Tae Hyun Hwang +15 more
TL;DR: In this paper , the authors used NTriPath to identify a gastric cancer specific 32-gene signature using unsupervised clustering on expression levels of these 32 genes in tumors from 567 patients.
Whole blood Epstein-Barr virus DNA load as a diagnostic and prognostic surrogate: extranodal natural killer/T-cell lymphoma.
Hyo Song Kim,Kyung Hee Kim,Kyoung Ha Kim,Myung Hee Chang,Sang Hoon Ji,Do Hyoung Lim,Ki-Hyun Kim,Seok Jin Kim,Young-Hyeh Ko,Chang-Seok Ki,Sook Jung Jo,Jae Won Lee,Won Seog Kim +12 more
TL;DR: The value of Epstein-Barr virus DNA load in unfractionated whole blood for the diagnosis and prognosis of EBV-associated lymphoma is investigated and the newly proposed classification model for NK/T cell lymphoma showed EBV DNA load differed significantly between patients with upper and extra-upper aerodigestive tracts.
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