Changhoon Song
Seoul National University · Medicine
About the Lab
Professor Changhoon Song's research lab specializes in translational oncology and biomedical engineering, focusing on improving cancer treatment outcomes through innovative radiotherapy techniques and molecular biomarker discovery. The lab investigates neoadjuvant therapies, including chemoradiotherapy and single-fraction electron beam irradiation, for locally advanced or resistant cancers such as rectal, nasopharyngeal, and breast cancers. It also explores advanced energy storage systems, such as high-voltage supercapacitors with shape memory, for integration into implantable medical devices. The lab emphasizes personalized treatment strategies using molecular markers like HSP90, PI3K-p110α, and PTEN to predict disease relapse and guide therapy selection.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15There is ongoing debate regarding the significance of complete or near-complete response after neoadjuvant chemoradiotherapy (CRT) for rectal cancer. This study assessed the prognostic value of the Dworak tumor regression grade (TRG) following neoadjuvant CRT and surgery primarily in patients with pathological stage (ypStage) II and III rectal cancer. The records of 331 patients who underwent neoadjuvant CRT followed by total mesorectal excision between 2004 and 2015 were retrospectively reviewe
Abstract A high‐voltage supercapacitor with shape memory for driving an integrated NO 2 gas sensor is fabricated using a Norland Optical Adhesive 63 polymer substrate, which can recover the original shape after deformation by short‐time heating. The supercapacitor consists of multiwalled carbon nanotube electrodes and organic electrolyte. By using organic electrolyte consisting of adiponitrile, acetonitrile, and dimethyl carbonate in an optimized volume ratio of 1:1:1, a high operation voltage o
The aim of this study was to assess the feasibility and efficacy of high-dose, single-fraction electron beam radiotherapy for therapy-resistant keloids. Before 2010, intractable keloids were treated at our institution with post-operative irradiation of 6-15 Gy in 3-5 fractionations. For convenience and cost effectiveness, we have changed our treatment protocol to high-dose single-fraction radiotherapy. A total of 12 patients with 16 keloid lesions were treated from January 2010 to January 2013 i
The coexpression of HSP90 with PI3K-p110alpha or expression of HSP90 along with PTEN loss has a potential as a molecular prognostic marker to predict early relapse in patients with invasive breast cancers.
Abstract Objectives: To analyze the impact of neoadjuvant chemotherapy (CT) on the treatment of early‐stage nasopharyngeal carcinoma (NPC) as compared with radiotherapy (RT) alone. Methods: We analyzed retrospectively the outcome of 60 previously untreated and histologically confirmed early‐stage NPC patients treated with either RT alone or with neoadjuvant CT followed by RT (CT/RT) at the Seoul National University Hospital between 1986 and 2004. Neoadjuvant CT consisted of three cycles with 5‐f
These data suggest that, following radical prostatectomy, elective WPRT during SRT may improve bRFS compared with PBRT in selected patients. Patients with preoperative PSA level ≤20 ng/mL or pre-SRT PSA level ≥0.4 ng/mL represent a potential subgroup who benefit most from receiving WPRT. Results of prospective randomized trials are awaited to confirm this finding.
<div class="htmlview paragraph">The oxidation of soot (carbon black) which is assisted by Pt/CeO<sub>2</sub> catalyst is studied using a flow reactor system simulating the condition of diesel exhaust. In this study, the temperature programmed oxidation (TPO) scheme is mainly used for different NO and O<sub>2</sub> concentrations and soot oxidation rate is evaluated by monitoring both CO and CO<sub>2</sub> concentrations.</div> <div class="htmlvi
In the modern era of MRI staging, PCI might be beneficial for patients with limited-stage SCLC but not for those with extensive-stage SCLC. Further studies with a large sample size are needed to verify the prognostic association of PCI.
A recurrent neural network (RNN) is a widely used deep-learning network for dealing with sequential data. Imitating a dynamical system, an infinite-width RNN can approximate any open dynamical system in a compact domain. In general, deep networks with bounded widths are more effective than wide networks in practice; however, the universal approximation theorem for deep narrow structures has yet to be extensively studied. In this study, we prove the universality of deep narrow RNNs and show that
Non-contact measurement of body temperature is preferred due not only to the convenience it provides but also to the necessity for preventing medical staffs and patients from infection and safety risk. For non-contact body temperature measurement, thermal cameras have been used to measure the temperature of facial skins. However, the problem is that temperature of facial skins varies according to varying environmental conditions such as outside temperature, subject activities prior to measuremen
Research Areas
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