1.Clinical response and prognosis of estrogen receptor-positive and human epidermal growth factor receptor-negative breast cancer patients after neoadjuvant chemotherapy: a retrospective cohort study
Jin Ah LEE ; Dooreh KIM ; Young Joo LEE ; Chang Ik YOON ; Woo-Chan PARK ; Soo Youn BAE
Annals of Surgical Treatment and Research 2026;110(3):157-169
Purpose:
Neoadjuvant chemotherapy (NAC) significantly revolutionized the management of locally advanced breast cancer, especially in human epidermal growth factor receptor 2 (HER2)-positive and triple-negative subtypes. However, its effectiveness is limited in estrogen receptor (ER)-positive, HER2-negative breast cancer. This study investigates the clinical response and prognosis of ER-positive, HER2-negative breast cancer after NAC.
Methods:
The clinicopathological characteristics and treatment responses of 149 patients with ER-positive, HER2-negative breast cancer treated with NAC and surgery at The Catholic University of Korea, Seoul St. Mary’s Hospital between 2018 and 2023 were retrospectively analyzed. Pathologic complete response (pCR) was defined as the absence of invasive tumors (ypT0/is, ypN0). Disease-free survival (DFS) and overall survival (OS) were analyzed using Kaplan-Meier methods, stratified by age (≤50 years vs. >50 years).
Results:
Among 149 patients, 13 (8.7%) achieved pCR, 87 (58.4%) attained partial responses, 40 (26.8%) had stable disease, and 9 (6.0%) experienced progressive disease. RECIST responses differed significantly by age (P = 0.003). DFS (P = 0.011) and OS (P = 0.005) were significantly associated with clinical response in patients aged ≤50 years. Post-NAC Ki-67 was associated with DFS (P = 0.013) but not OS (P = 0.083) in patients aged ≤50 years. Clinical responses and post-NAC Ki-67 were not associated with DFS (P = 0.544) or OS (P = 0.569) in patients aged >50 years.
Conclusion
In ER-positive, HER2-negative breast cancer, clinical responses and post-NAC Ki-67 were significant prognostic factors in patients aged ≤50 years but not in older patients. These findings highlight the need for tailored therapeutic approaches that consider age-specific prognostic differences.
2.Rethinking first-line screening in MASLD beyond the limitations of Fibrosis-4 index: Editorial on “Risk stratification by noninvasive tests in patients with metabolic dysfunction-associated steatotic liver disease”
Han Ah LEE ; Young Youn CHO ; Hyung Joon KIM
Clinical and Molecular Hepatology 2026;32(2):921-923
3.Application of Machine Learning Algorithms for Risk Stratification and Efficacy Evaluation in Cervical Cancer Screening among the ASCUS/LSIL Population: Evidence from the Korean HPV Cohort Study
Heekyoung SONG ; Hong Yeon LEE ; Shin Ah OH ; Jaehyun SEONG ; Soo Young HUR ; Youn Jin CHOI
Cancer Research and Treatment 2025;57(2):547-557
Purpose:
We assessed human papillomavirus (HPV) genotype-based risk stratification and the efficacy of cytology testing for cervical cancer screening in patients with atypical squamous cells of undetermined significance (ASCUS)/low-grade squamous intraepithelial lesion (LSIL).
Materials and Methods:
Between 2010 and 2021, we monitored 1,273 HPV-positive women with ASCUS/LSIL every 6 months for up to 60 months. HPV infections were categorized as persistent (HPV positivity consistently observed post-enrollment), negative (HPV negativity consistently observed post-enrollment), or non-persistent (neither consistently positive nor negative). HPV genotypes were grouped into high-risk (Hr) groups 1 (types 16, 18, 31, 33, 45, 52, and 58) and 2 (types 35, 39, 51, 56, 59, 66, and 68) and a low-risk group. Hr1 was subdivided into types (a) 16 and 18; (b) 31, 33, and 45; and (c) 52 and 58. Cox regression and machine learning (ML) algorithms were used to analyze progression rates.
Results:
Among 1,273 participants, 17.6% with persistent HPV infections experienced disease progression versus no progression in the HPV-negative group (p < 0.001). Cox analysis revealed the highest hazard ratios (HRs) for Hr1-a (11.6, p < 0.001), followed by Hr1-b (9.26, p < 0.001) and Hr1-c (7.21, p < 0.001). HRs peaked at 12-24 months, with Hr1-a maintaining significance at 24-36 months (10.7, p=0.034). ML analysis identified the final cytology change pattern as the most significant factor, with 14-15 months the optimal time for detecting progression from the first examination.
Conclusion
In ASCUS/LSIL cases, follow-up strategies should be based on HPV risk types. Annual follow-up was the most effective monitoring for detecting progression/regression.
4.Application of Machine Learning Algorithms for Risk Stratification and Efficacy Evaluation in Cervical Cancer Screening among the ASCUS/LSIL Population: Evidence from the Korean HPV Cohort Study
Heekyoung SONG ; Hong Yeon LEE ; Shin Ah OH ; Jaehyun SEONG ; Soo Young HUR ; Youn Jin CHOI
Cancer Research and Treatment 2025;57(2):547-557
Purpose:
We assessed human papillomavirus (HPV) genotype-based risk stratification and the efficacy of cytology testing for cervical cancer screening in patients with atypical squamous cells of undetermined significance (ASCUS)/low-grade squamous intraepithelial lesion (LSIL).
Materials and Methods:
Between 2010 and 2021, we monitored 1,273 HPV-positive women with ASCUS/LSIL every 6 months for up to 60 months. HPV infections were categorized as persistent (HPV positivity consistently observed post-enrollment), negative (HPV negativity consistently observed post-enrollment), or non-persistent (neither consistently positive nor negative). HPV genotypes were grouped into high-risk (Hr) groups 1 (types 16, 18, 31, 33, 45, 52, and 58) and 2 (types 35, 39, 51, 56, 59, 66, and 68) and a low-risk group. Hr1 was subdivided into types (a) 16 and 18; (b) 31, 33, and 45; and (c) 52 and 58. Cox regression and machine learning (ML) algorithms were used to analyze progression rates.
Results:
Among 1,273 participants, 17.6% with persistent HPV infections experienced disease progression versus no progression in the HPV-negative group (p < 0.001). Cox analysis revealed the highest hazard ratios (HRs) for Hr1-a (11.6, p < 0.001), followed by Hr1-b (9.26, p < 0.001) and Hr1-c (7.21, p < 0.001). HRs peaked at 12-24 months, with Hr1-a maintaining significance at 24-36 months (10.7, p=0.034). ML analysis identified the final cytology change pattern as the most significant factor, with 14-15 months the optimal time for detecting progression from the first examination.
Conclusion
In ASCUS/LSIL cases, follow-up strategies should be based on HPV risk types. Annual follow-up was the most effective monitoring for detecting progression/regression.
5.Application of Machine Learning Algorithms for Risk Stratification and Efficacy Evaluation in Cervical Cancer Screening among the ASCUS/LSIL Population: Evidence from the Korean HPV Cohort Study
Heekyoung SONG ; Hong Yeon LEE ; Shin Ah OH ; Jaehyun SEONG ; Soo Young HUR ; Youn Jin CHOI
Cancer Research and Treatment 2025;57(2):547-557
Purpose:
We assessed human papillomavirus (HPV) genotype-based risk stratification and the efficacy of cytology testing for cervical cancer screening in patients with atypical squamous cells of undetermined significance (ASCUS)/low-grade squamous intraepithelial lesion (LSIL).
Materials and Methods:
Between 2010 and 2021, we monitored 1,273 HPV-positive women with ASCUS/LSIL every 6 months for up to 60 months. HPV infections were categorized as persistent (HPV positivity consistently observed post-enrollment), negative (HPV negativity consistently observed post-enrollment), or non-persistent (neither consistently positive nor negative). HPV genotypes were grouped into high-risk (Hr) groups 1 (types 16, 18, 31, 33, 45, 52, and 58) and 2 (types 35, 39, 51, 56, 59, 66, and 68) and a low-risk group. Hr1 was subdivided into types (a) 16 and 18; (b) 31, 33, and 45; and (c) 52 and 58. Cox regression and machine learning (ML) algorithms were used to analyze progression rates.
Results:
Among 1,273 participants, 17.6% with persistent HPV infections experienced disease progression versus no progression in the HPV-negative group (p < 0.001). Cox analysis revealed the highest hazard ratios (HRs) for Hr1-a (11.6, p < 0.001), followed by Hr1-b (9.26, p < 0.001) and Hr1-c (7.21, p < 0.001). HRs peaked at 12-24 months, with Hr1-a maintaining significance at 24-36 months (10.7, p=0.034). ML analysis identified the final cytology change pattern as the most significant factor, with 14-15 months the optimal time for detecting progression from the first examination.
Conclusion
In ASCUS/LSIL cases, follow-up strategies should be based on HPV risk types. Annual follow-up was the most effective monitoring for detecting progression/regression.
6.A Case of Hepatocellular Carcinoma Arising within a Hepatocellular Adenoma in a Patient with Familial Adenomatous Polyposis
Han Ah LEE ; Young Youn CHO ; Soon Auck HONG ; Hyung Joon KIM
Clinical Ultrasound 2025;10(2):135-140
Hepatocellular adenoma is a rare benign liver tumor, but certain molecular subtypes carry a risk of malignant transformation, particularly in male patients and large tumors. Familial adenomatous polyposis (FAP) may predispose to hepatocellular neoplasms through β-catenin pathway dysregulation, although reported cases are uncommon. A 35-year-old man with FAP was found to have multiple high-echoic hepatic masses up to 12 cm on ultrasonography, and magnetic resonance imaging showed features suggestive of both focal nodular hyperplasia and hepatocellular adenoma. Ultrasound-guided biopsy was compatible with hepatic adenoma, but some immunohistochemical features partially overlapped with focal nodular hyperplasia. Because malignant transformation could not be excluded, segmentectomy was performed. Surgical pathology demonstrated hepatocellular carcinoma arising within hepatocellular adenoma, with approximately 20% of the lesion showing malignant transformation, and resection margins were tumor-free. This case highlights that imaging and biopsy findings may mimic focal nodular hyperplasia in patients with familial adenomatous polyposis, and surgical resection should be considered when risk factors for malignant transformation are present.
7.Unenhanced Breast MRI With Diffusion-Weighted Imaging for Breast Cancer Detection: Effects of Training on Performance and Agreement of Subspecialty Radiologists
Yeon Soo KIM ; Su Hyun LEE ; Soo-Yeon KIM ; Eun Sil KIM ; Ah Reum PARK ; Jung Min CHANG ; Vivian Youngjean PARK ; Jung Hyun YOON ; Bong Joo KANG ; Bo La YUN ; Tae Hee KIM ; Eun Sook KO ; A Jung CHU ; Jin You KIM ; Inyoung YOUN ; Eun Young CHAE ; Woo Jung CHOI ; Hee Jeong KIM ; Soo Hee KANG ; Su Min HA ; Woo Kyung MOON
Korean Journal of Radiology 2024;25(1):11-23
Objective:
To investigate whether reader training improves the performance and agreement of radiologists in interpreting unenhanced breast magnetic resonance imaging (MRI) scans using diffusion-weighted imaging (DWI).
Materials and Methods:
A study of 96 breasts (35 cancers, 24 benign, and 37 negative) in 48 asymptomatic women was performed between June 2019 and October 2020. High-resolution DWI with b-values of 0, 800, and 1200 sec/mm 2 was performed using a 3.0-T system. Sixteen breast radiologists independently reviewed the DWI, apparent diffusion coefficient maps, and T1-weighted MRI scans and recorded the Breast Imaging Reporting and Data System (BI-RADS) category for each breast. After a 2-h training session and a 5-month washout period, they re-evaluated the BI-RADS categories. A BI-RADS category of 4 (lesions with at least two suspicious criteria) or 5 (more than two suspicious criteria) was considered positive.The per-breast diagnostic performance of each reader was compared between the first and second reviews. Inter-reader agreement was evaluated using a multi-rater κ analysis and intraclass correlation coefficient (ICC).
Results:
Before training, the mean sensitivity, specificity, and accuracy of the 16 readers were 70.7% (95% confidence interval [CI]: 59.4–79.9), 90.8% (95% CI: 85.6–94.2), and 83.5% (95% CI: 78.6–87.4), respectively. After training, significant improvements in specificity (95.2%; 95% CI: 90.8–97.5; P = 0.001) and accuracy (85.9%; 95% CI: 80.9–89.8; P = 0.01) were observed, but no difference in sensitivity (69.8%; 95% CI: 58.1–79.4; P = 0.58) was observed. Regarding inter-reader agreement, the κ values were 0.57 (95% CI: 0.52–0.63) before training and 0.68 (95% CI: 0.62–0.74) after training, with a difference of 0.11 (95% CI: 0.02–0.18; P = 0.01). The ICC was 0.73 (95% CI: 0.69–0.74) before training and 0.79 (95% CI: 0.76–0.80) after training (P = 0.002).
Conclusion
Brief reader training improved the performance and agreement of interpretations by breast radiologists using unenhanced MRI with DWI.
8.Breast Cancer Statistics in Korea, 2021
Chihwan David CHA ; Chan Sub PARK ; Hee-Chul SHIN ; Jaihong HAN ; Jung Eun CHOI ; Joo Heung KIM ; Kyu-Won JUNG ; Sae Byul LEE ; Sang Eun NAM ; Tae In YOON ; Young-Joon KANG ; Zisun KIM ; So-Youn JUNG ; Hyun-Ah KIM ;
Journal of Breast Cancer 2024;27(6):351-361
The Korean Breast Cancer Society (KBCS) has collected nationwide registry data on clinicopathologic characteristics and treatment since 1996. This study aimed to analyze the clinical characteristics of breast cancer in Korea and assess changes in breast cancer statistics for 2021 using data from the KBCS registry and the Korean Central Cancer Registry. In 2021, 34,628 women were newly diagnosed with breast cancer. The median age of women diagnosed with breast cancer was 53.4 years, with the highest incidence occurring in the 40–49 age group. The most common molecular subtype was hormone receptor-positive and human epidermal growth factor receptor 2 (HER2)-negative, accounting for 69.1% of cases, while HER2-positive subtypes comprised 19.3%. During the coronavirus disease 2019 pandemic, the national breast cancer screening rate declined. However, the incidence of early-stage breast cancer (stages 0 and I) continued to increase, accounting for 65.6% of newly diagnosed cases in 2021. Our results showed that the overall survival rate for patients with breast cancer has improved, primarily due to a rise in early-stage diagnoses and advancements in treatment.
9.Impact of COVID-19 pandemic on emergency department visits during daytime and nighttime
Ah Young KIM ; Young-Hoon YOON ; Jung-Youn KIM ; Bosun SHIM ; Sung Joon PARK
Journal of the Korean Society of Emergency Medicine 2024;35(6):413-423
Objective:
There has been a rapid increase in the utilization of emergency departments (EDs), especially for non-emergent cases. The challenges of accessing medical services at night cause disparities in ED utilization between the day and night. Additionally, the coronavirus disease-2019 (COVID-19) pandemic has had a notable impact on ED visits. This study aimed to compare the characteristics of patients visiting the EDs in the daytime and at night before and after COVID-19.
Methods:
A retrospective observational study was conducted on adults (≥18 years) at three metropolitan EDs from January 1, 2019 to December 31, 2020. Data, including the Korean Triage Acuity System, Tenth Revision (ICD-10) codes, and ICU admissions, were collected. Characteristics of patients visiting the ED during the day (06:00-18:00) and night (18:00-06:00) periods before and after COVID-19 were analyzed.
Results:
During the pre-COVID-19 and COVID-19 periods, 117,896 and 92,915 patients visited the ED, respectively. Non-emergency nighttime visits were increased than daytime visits during both the pre-COVID-19 period (37.9% vs. 30.9%) and the COVID-19 period (35.4% vs. 28.8%) (P<0.01). During COVID-19, non-emergency patient visits to the ED during the nighttime decreased compared to those during the day (odds ratio, 0.96; 95% confidence interval [CI], 0.93-0.99, P=0.01). Among the top five diagnoses, the number of patients declined during the COVID-19 pandemic in most categories, except for the category of “Fever of other and unknown origin,” which saw an increase both during the day (incident rate ratio [IRR], 1.10; 95% CI, 1.05-1.17) and night (IRR, 1.23; 95% CI, 1.17-1.30).
Conclusion
The COVID-19 pandemic significantly influenced ED visit patterns, particularly by reducing non-emergent visits during nighttime.
10.Immune Cells Are DifferentiallyAffected by SARS-CoV-2 Viral Loads in K18-hACE2 Mice
Jung Ah KIM ; Sung-Hee KIM ; Jeong Jin KIM ; Hyuna NOH ; Su-bin LEE ; Haengdueng JEONG ; Jiseon KIM ; Donghun JEON ; Jung Seon SEO ; Dain ON ; Suhyeon YOON ; Sang Gyu LEE ; Youn Woo LEE ; Hui Jeong JANG ; In Ho PARK ; Jooyeon OH ; Sang-Hyuk SEOK ; Yu Jin LEE ; Seung-Min HONG ; Se-Hee AN ; Joon-Yong BAE ; Jung-ah CHOI ; Seo Yeon KIM ; Young Been KIM ; Ji-Yeon HWANG ; Hyo-Jung LEE ; Hong Bin KIM ; Dae Gwin JEONG ; Daesub SONG ; Manki SONG ; Man-Seong PARK ; Kang-Seuk CHOI ; Jun Won PARK ; Jun-Won YUN ; Jeon-Soo SHIN ; Ho-Young LEE ; Ho-Keun KWON ; Jun-Young SEO ; Ki Taek NAM ; Heon Yung GEE ; Je Kyung SEONG
Immune Network 2024;24(2):e7-
Viral load and the duration of viral shedding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are important determinants of the transmission of coronavirus disease 2019.In this study, we examined the effects of viral doses on the lung and spleen of K18-hACE2 transgenic mice by temporal histological and transcriptional analyses. Approximately, 1×105 plaque-forming units (PFU) of SARS-CoV-2 induced strong host responses in the lungs from 2 days post inoculation (dpi) which did not recover until the mice died, whereas responses to the virus were obvious at 5 days, recovering to the basal state by 14 dpi at 1×102 PFU. Further, flow cytometry showed that number of CD8+ T cells continuously increased in 1×102 PFU-virusinfected lungs from 2 dpi, but not in 1×105 PFU-virus-infected lungs. In spleens, responses to the virus were prominent from 2 dpi, and number of B cells was significantly decreased at 1×105PFU; however, 1×102 PFU of virus induced very weak responses from 2 dpi which recovered by 10 dpi. Although the defense responses returned to normal and the mice survived, lung histology showed evidence of fibrosis, suggesting sequelae of SARS-CoV-2 infection. Our findings indicate that specific effectors of the immune response in the lung and spleen were either increased or depleted in response to doses of SARS-CoV-2. This study demonstrated that the response of local and systemic immune effectors to a viral infection varies with viral dose, which either exacerbates the severity of the infection or accelerates its elimination.

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