Publications by authors named "Soohyun Hwang"

TP53 mutations, which are prevalent in patients with non-small cell lung cancer (NSCLC), play a crucial role in carcinogenesis, are associated with poor prognosis ​and significantly contribute to resistance against key therapeutic options, such as chemotherapy, epidermal growth factor receptor tyrosine kinase inhibitors, and immunotherapy. However, sequencing of tissues from all patients to detect TP53 mutations is challenging. This study represents the first comprehensive analysis of the correlation between p53 immunohistochemical (IHC) staining and TP53 mutations in patients with NSCLC.

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Background: Experiencing bias and stigma are social determinants of health (SDoH). Recently, internalized weight bias (IWB) has been included as an SDoH in obesity medicine. This study examined the association of IWB with other pillars of SDoH and how IWB contributes to cumulative social disadvantage for people living with obesity.

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Background: This study aimed to evaluate the efficacy and safety of adjuvant pembrolizumab in patients with completely resected stage I lung adenocarcinoma with micropapillary or solid-pattern (MPSOL).

Methods: This was a single-center, single-arm phase 2 study (ClinicalTrials.gov identifier: NCT03254004).

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Objective: To discern highly aggressive intratumoral areas among lung adenocarcinoma (LUAD) and its impact on occult nodal metastases and the recurrence rate with radiomic analysis.

Methods: This prospective dual-institution study analyzed clinical information and high-resolution preoperative CT of 528 patients from institution A and 249 patients from institution B. We extracted radiomic features and performed pathologic evaluations for resected tumors, based on the 2020 International Association for the Study of Lung Cancer (IASLC) classification.

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Background: Sublobar resection is increasingly recognized as an effective treatment for early-stage NSCLC. However, no studies to date have investigated the potential role of preoperative ctDNA detection in guiding surgical decisions, such as opting for sublobar resection, in stage I NSCLC.

Methods: Patients with solid-dominant (CTR>0.

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Article Synopsis
  • Extremely well-differentiated gastric-type adenocarcinoma (EWDGA) is a rare gastric cancer that often mimics normal stomach tissue, which can lead to misdiagnosis.
  • In a study involving 11 pathologists evaluating six preoperative biopsies, the diagnosis of malignancy was only confirmed in 15.2% of cases, highlighting significant diagnostic challenges.
  • Despite minimal atypia in biopsy samples and no overexpression of the p53 protein, genomic profiling revealed mutations associated with more aggressive cancer, emphasizing the need for better recognition and diagnostic practices for EWDGA.
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  • The study investigates the differences in tumor microenvironments (TMEs) between primary tumors and regional lymph node metastases (LNMs) in head and neck squamous cell carcinoma (HNSCC), focusing on tumor-infiltrating lymphocytes (TILs) and immune phenotypes.
  • Results showed no significant correlation in TIL densities between primary tumors and LNMs, and discordance in immune phenotypes was observed in 57.1% of patients, suggesting variability in patient responses to treatment.
  • Patients with higher TIL levels and inflamed immune phenotypes experienced longer progression-free survival, indicating that assessing TMEs in both primary tumors and LNMs could enhance the effectiveness of immune checkpoint inhibitors (ICIs) in
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Objectives: The use of tumor-informed circulating tumor DNA (ctDNA) testing in patients with early-stage disease before surgery is limited, mainly owing to restricted tissue access and extended turnaround times. This study aimed to evaluate the clinical value of a tumor-naïve, methylation-based cell-free DNA assay in a large cohort of patients with resected NSCLC.

Method: We analyzed presurgical plasma samples from 895 patients with EGFR and anaplastic lymphoma kinase-wild-type, clinical stage I or II NSCLC.

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Purpose: This study aimed to develop a magnetic resonance imaging (MRI)-based radiomics model to predict high-risk pathologic features for lung adenocarcinoma: micropapillary and solid pattern (MPsol), spread through air space, and poorly differentiated patterns.

Materials And Methods: As a prospective study, we screened clinical N0 lung cancer patients who were surgical candidates and had undergone both 18F-fluorodeoxyglucose (FDG) positron emission tomography-computed tomography (PET/CT) and chest CT from August 2018 to January 2020. We recruited patients meeting our proposed imaging criteria indicating high-risk, that is, poorer prognosis of lung adenocarcinoma, using CT and FDG PET/CT.

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Digital health technologies (DHTs) have the potential to modernize drug development and clinical trial operations by remotely, passively, and continuously collecting ecologically valid evidence that is meaningful to patients' lived experiences. Such evidence holds potential for all drug development stakeholders, including regulatory agencies, as it will help create a stronger evidentiary link between approval of new therapeutics and the ultimate aim of improving patient lives. However, only a very small number of novel digital measures have matured from exploratory usage into regulatory qualification or efficacy endpoints.

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Article Synopsis
  • Recent research highlights the importance of novel transcriptional factor-based molecular subtypes in predicting outcomes for small-cell lung cancer (SCLC) patients through in-depth analysis of multi-omics data combined with immunohistochemistry (IHC).
  • The study involved a comprehensive examination of data from 427 SCLC patients, focusing on mutation profiles, gene expression, and inflammation signatures, revealing distinct molecular subtypes and their clinical outcomes.
  • Findings showed significant differences in survival rates among subtypes, with the ASCL1 subtype exhibiting the most favorable overall survival, and inflamed tumors being more responsive to immunotherapy compared to non-inflamed tumors.
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  • The study investigates the expression of PD-L1, a biomarker for immunotherapy, in lung adenocarcinoma and how it relates to a new grading system for tumors.
  • In a cohort of 1,233 patients, PD-L1 positivity was found to increase with tumor grade: 7% in G1, 23.5% in G2, and 63% in G3 tumors.
  • PD-L1 was linked to worse patient outcomes, being an independent risk factor for recurrence and death in G2 tumors, but not significantly in G3 tumors.
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The World Health Organization Classification of Tumors of the Central Nervous System recently incorporated histological features, immunophenotypes, and molecular characteristics to improve the accuracy of glioblastoma (GBM) diagnosis. (F3T3) fusion has been identified as an oncogenic driver in -wildtype GBMs. Recent studies have demonstrated the potential of using FGFR inhibitors in clinical trials and TACC3-targeting agents in preclinical models for GBM treatment.

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  • The study focused on diagnosing and classifying IDH-wildtype diffuse astrocytic gliomas to inform treatment and prognosis, especially differentiating glioblastoma (GBM) from lower-grade variants when DNA methylation analysis isn’t possible.
  • A total of 479 glioma cases were examined, revealing 91.6% were diagnosed as GBM while 8.4% were classified as lower-grade gliomas not fitting established criteria.
  • Findings highlighted that certain genetic alterations, particularly PTEN and EGFR mutations, were prevalent in GBM; however, mTOR pathway mutations correlated with better prognoses despite histological similarities to aggressive tumors.*
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  • Accurate diagnostic criteria for tumor invasion are crucial for precise pT staging in lung adenocarcinoma, and recent IASLC criteria have not yet been clinically validated.
  • A study of 1,295 patients from Samsung Medical Center showed that the revised pT staging led to a 22% downstaging and better predictions for recurrence-free survival and metastasis than the original pT staging.
  • The findings suggest that the IASLC criteria align better with clinicopathologic factors and improve prognostic assessment, highlighting the need for further research on its impact on treatment decisions.
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Background: Invasive mucinous adenocarcinoma (IMA) is distinct from non-mucinous adenocarcinoma, but studies on recurrent IMA are scarce. Thus, this study aimed to evaluate the recurrence patterns of IMA and the role of pulmonary local therapy (LT) in resectable pulmonary recurrence of IMA.

Methods: The study reviewed 403 patients with surgically resected IMA between 1998 and 2018.

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Background: Multidisciplinary models of care have been advocated for prostate cancer (PC) to promote shared decision-making and facilitate quality care. Yet, how this model applies to low-risk disease where the preferred management is expectant remains unclear. Accordingly, we examined recent practice patterns in specialty visits for low/intermediate-risk PC and resultant use of active surveillance (AS).

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Objectives: While active surveillance, a form of expectant management (EM), is preferred for patients with low-risk prostate cancer (PCa), some favor a more risk-adapted approach that recognizes patient preferences and condition-specific factors. However, previous research has shown non-patient-related factors often drive PCa treatment. In this context, we characterized trends in AS with respect to disease risk and health status.

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Background: While online portals may be helpful to engage patients in shared decision-making at the time of cancer screening, because of known disparities in patient portal use, sole reliance on portals to support cancer screening decision-making could exacerbate well-known disparities in this health care area. Innovative approaches are needed to engage patients in health care decision-making and to support equitable shared decision-making.

Objective: We assessed the acceptability of text messages to engage sociodemographically diverse individuals in colorectal cancer (CRC) screening decisions and support shared decision-making in practice.

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Article Synopsis
  • The study examined molecular subtypes of small cell lung cancer (SCLC) using whole sections of tumor samples to better understand their clinical and prognostic significance.
  • Researchers identified four main subtypes: SCLC-A (54.8%), SCLC-N (31.5%), SCLC-P (6.8%), and triple-negative SCLC (6.8%), with SCLC-N being significantly enriched in combined SCLCs.
  • YAP1 expression was linked to poor prognosis and increased recurrence rates, particularly in SCLC cases with non-small cell-like morphology, highlighting its role in tumor heterogeneity and phenotypic changes rather than as a standalone subtype.
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Introduction: This study aimed to evaluate the value of programmed death-ligand 1 (PD-L1) copy number (CN) alteration as an additional biomarker to standard immunohistochemistry (IHC) in predicting response to immune checkpoint inhibitor (ICI) therapy in advanced NSCLC.

Methods: Before ICI monotherapy, tumor PD-L1 CN alteration (gain, neutral, or loss) was called using whole-exome sequencing data and compared with IHC results (tumor proportion score ≥50, 1-49, or 0). Progression-free survival (PFS) and overall survival were correlated with both biomarkers.

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Aims: The prognostic role of EGFR mutations remains controversial. We aimed to evaluate the prognostic role of EGFR mutation in consideration of the IASLC histological grade in patients with resected early-stage lung adenocarcinoma.

Methods And Results: A total of 3297 patients with stages I-IIA resected lung adenocarcinoma who had had EGFR mutation tests between January 2014 and December 2019 at the Samsung Medical Center, Seoul, Korea were included.

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The purpose of this study was to determine the prognostic impact of fat loss after immune checkpoint inhibitor (ICI) treatment in patients with metastatic clear cell renal cell carcinoma (ccRCC). Data from 60 patients treated with ICI therapy for metastatic ccRCC were retrospectively analyzed. Changes in cross-sectional areas of subcutaneous fat (SF) between the pre-treatment and post-treatment abdominal computed tomography (CT) images were expressed as percentages and were divided by the interval between the CT scans to calculate ΔSF (%/month).

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