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  <title>DSpace Community:</title>
  <link rel="alternate" href="https://ir.ymlib.yonsei.ac.kr/handle/22282913/168892" />
  <subtitle />
  <id>https://ir.ymlib.yonsei.ac.kr/handle/22282913/168892</id>
  <updated>2026-07-05T00:40:18Z</updated>
  <dc:date>2026-07-05T00:40:18Z</dc:date>
  <entry>
    <title>Precipitation-based versus filtration-based liquid-based cytology in endoscopic ultrasound-FNB specimens of solid pancreatic masses: a prospective, randomized trial(with video)</title>
    <link rel="alternate" href="https://ir.ymlib.yonsei.ac.kr/handle/22282913/212707" />
    <author>
      <name>Lee, See Young</name>
    </author>
    <author>
      <name>Nahm, Ji Hae</name>
    </author>
    <author>
      <name>Jung, Chan Min</name>
    </author>
    <author>
      <name>Jo, Jung Hyun</name>
    </author>
    <author>
      <name>Kim, Hyung Sun</name>
    </author>
    <author>
      <name>Seong, Yeseul</name>
    </author>
    <author>
      <name>Lee, Hye Sun</name>
    </author>
    <author>
      <name>Jeon, Soyoung</name>
    </author>
    <author>
      <name>Jang, Sung Ill</name>
    </author>
    <author>
      <name>Cho, Jae Hee</name>
    </author>
    <id>https://ir.ymlib.yonsei.ac.kr/handle/22282913/212707</id>
    <updated>2026-06-18T01:50:02Z</updated>
    <published>2026-06-01T00:00:00Z</published>
    <summary type="text">Title: Precipitation-based versus filtration-based liquid-based cytology in endoscopic ultrasound-FNB specimens of solid pancreatic masses: a prospective, randomized trial(with video)
Authors: Lee, See Young; Nahm, Ji Hae; Jung, Chan Min; Jo, Jung Hyun; Kim, Hyung Sun; Seong, Yeseul; Lee, Hye Sun; Jeon, Soyoung; Jang, Sung Ill; Cho, Jae Hee
Abstract: Background and Aims EUS-guided fine-needle biopsy (FNB) is the standard technique for diagnosing solid pancreatic masses, offering high histologic accuracy. However, adequate tissue acquisition can still be difficult in small or technically demanding lesions. Liquid-based cytology (LBC) may serve as a complementary tool to improve diagnostic yield. This study compared the diagnostic efficacy and cytomorphologic features of 2 LBC techniques—precipitation-based SurePath and filtration-based ThinPrep—using cytologic specimens prepared from the residual fluid remaining after retrieval of core tissue from EUS-FNB specimens. Methods A total of 102 patients with suspected malignant pancreatic tumors who underwent EUS-guided FNB were prospectively randomized into the SurePath and ThinPrep groups in a 1:1 ratio. Cytomorphologic features and slide quality were systematically evaluated. The final diagnosis integrated the cytologic, histologic, and clinical follow-up results. Results The groups had comparable baseline characteristics. Most cases (99.02%) were diagnosed as malignant, and pancreatic ductal adenocarcinoma was predominant (90.20%). SurePath demonstrated superior diagnostic accuracy (97.0% vs 83.9%, P = .002) and sensitivity (97.0% vs 83.7%, P = .002) to ThinPrep, whereas both techniques showed 100% specificity and positive predictive values. SurePath required a significantly shorter interpretation time ( P = .023). Cytomorphologically, SurePath showed more even distributions ( P &lt; .001) and 3-dimensional clusters ( P &lt; .001) and less cytoplasmic blurring ( P = .064). SurePath preparations also demonstrated better preservation of key diagnostic features, including conspicuous nucleoli ( P = .013), hyperchromasia ( P = .035), and coarse chromatin ( P = .009). SurePath achieved greater cellularity than ThinPrep, with 18.6% and 0% of cases, respectively, showing very high cellularity ( P &lt; .001). Conclusions For EUS-guided FNB of solid pancreatic masses, the SurePath LBC technique demonstrated superior diagnostic performance, faster interpretation times, and better preservation of cytomorphologic features than ThinPrep. These findings suggest that SurePath should be the preferred LBC method for evaluating EUS-guided FNB of pancreatic masses. (Clinical trial registration number: KCT0006748). © 2025 American Society for Gastrointestinal Endoscopy.</summary>
    <dc:date>2026-06-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Spatial immunophenotyping of tumor-associated macrophages predicts prognostic outcomes in clear cell renal cell carcinoma</title>
    <link rel="alternate" href="https://ir.ymlib.yonsei.ac.kr/handle/22282913/211450" />
    <author>
      <name>Uh, Jisu</name>
    </author>
    <author>
      <name>Kim, Jisup</name>
    </author>
    <author>
      <name>Shin, Su Jin</name>
    </author>
    <author>
      <name>Ko, Jiwon</name>
    </author>
    <author>
      <name>Go, Heounjeong</name>
    </author>
    <id>https://ir.ymlib.yonsei.ac.kr/handle/22282913/211450</id>
    <updated>2026-03-25T03:09:31Z</updated>
    <published>2026-05-01T00:00:00Z</published>
    <summary type="text">Title: Spatial immunophenotyping of tumor-associated macrophages predicts prognostic outcomes in clear cell renal cell carcinoma
Authors: Uh, Jisu; Kim, Jisup; Shin, Su Jin; Ko, Jiwon; Go, Heounjeong
Abstract: Introduction Clear cell renal cell carcinoma (ccRCC), the most common kidney cancer subtype, has high rates of metastasis and recurrence. Its tumor microenvironment (TME), particularly tumor-associated macrophages (TAMs) and tumor-infiltrating lymphocytes (TILs), influences immune evasion and tumor progression. This study evaluated the prognostic significance of TAM and TIL subsets based on their phenotypes and spatial distribution within the TME. Materials and Methods This retrospective study included 643 ccRCC patients who underwent surgery at Asan Medical Center between 2011 and 2013. Multiplex immunofluorescence staining was performed on tissue microarrays from central and peripheral tumor regions. Markers for M1/M2 macrophages and T cells were quantified using automated imaging software, and optimal cutoffs were defined using maximally selected rank statistics, with additional sensitivity analyses performed to assess robustness. Survival outcomes were assessed with Cox regression, and group comparisons used appropriate statistical tests. Results High central density of M2-like TAMs (CD68+CD206+) was associated with poor overall, metastasis-free, and progression-free survival (PFS) (P &lt; 0.05). In contrast, high central density of M1-like TAMs (CD68+iNOS+) was associated with favorable PFS (P = 0.034). M2-like TAMs were more abundant than M1-like across all tumor regions. Peripheral CD3+ TILs were more frequent than in the center. Exploratory analyses showed weak correlations between immune cell densities and response to tyrosine kinase inhibitor therapy. Conclusion Distinct phenotypes and spatial distributions of TAMs were associated with prognostic outcomes in ccRCC. Central M2-like TAMs were associated with poor outcomes, while central M1-like TAMs were linked to favorable prognosis. TILs did not demonstrate independent prognostic value.</summary>
    <dc:date>2026-05-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Artificial intelligence-powered H&amp;E-based quantification of spatial tumor-infiltrating lymphocyte distribution identifies prognostic immune niches in colorectal cancer</title>
    <link rel="alternate" href="https://ir.ymlib.yonsei.ac.kr/handle/22282913/212493" />
    <author>
      <name>Koh, Hyun-Hee</name>
    </author>
    <author>
      <name>Lee, Seungeun</name>
    </author>
    <author>
      <name>Oum, Chiyoon</name>
    </author>
    <author>
      <name>Song, Sanghoon</name>
    </author>
    <author>
      <name>Cho, Soo Ick</name>
    </author>
    <author>
      <name>Pereira, Sergio</name>
    </author>
    <author>
      <name>Ahn, Chang Ho</name>
    </author>
    <author>
      <name>Kim, Jun Yong</name>
    </author>
    <author>
      <name>Kim, Milim</name>
    </author>
    <author>
      <name>Jung, Minsun</name>
    </author>
    <id>https://ir.ymlib.yonsei.ac.kr/handle/22282913/212493</id>
    <updated>2026-06-10T05:55:38Z</updated>
    <published>2026-05-01T00:00:00Z</published>
    <summary type="text">Title: Artificial intelligence-powered H&amp;E-based quantification of spatial tumor-infiltrating lymphocyte distribution identifies prognostic immune niches in colorectal cancer
Authors: Koh, Hyun-Hee; Lee, Seungeun; Oum, Chiyoon; Song, Sanghoon; Cho, Soo Ick; Pereira, Sergio; Ahn, Chang Ho; Kim, Jun Yong; Kim, Milim; Jung, Minsun
Abstract: Purpose The prognostic significance of tumor-infiltrating lymphocytes (TILs) in colorectal cancer (CRC) is well established; however, existing approaches inadequately capture their spatial distribution. We investigated the prognostic implications of TIL spatial distribution in CRC using an artificial intelligence (AI)-based method. Methods A total of 202 patients with stage II-III CRC were included. TIL densities in intratumoral (iTIL) and stromal (sTIL) regions were quantified using AI-based analysis of hematoxylin and eosin (H&amp;E)-stained images. Based on proximity to the tumor-stromal border (TSB), TILs were subclassified into core iTIL, bounding iTIL, bounding sTIL, and outermost sTIL. Immunoscore was calculated from CD3(+) and CD8(+) T-cell densities in the tumor center and invasive margin. Results Correlations between AI-based and pathologist assessments (iTIL: r = 0.57; sTIL: r = 0.70) were comparable to inter-pathologist correlations (iTIL: r = 0.47; sTIL: r = 0.70). In univariate Cox regression analysis, bounding iTIL, bounding sTIL, and outermost sTIL were significantly associated with recurrence-free survival (RFS), whereas core iTIL was not. Composite TIL and TSB scores were developed by incorporating the prognostically significant regions. In multivariable analysis, the TIL score (p = 0.001), TSB score (p &lt; 0.001), and Immunoscore (p &lt; 0.001) independently predicted RFS. In microsatellite instability-high tumors, only the TSB score remained prognostically significant. Conclusion AI-powered spatial analysis of TILs, particularly the TSB score, demonstrated prognostic performance comparable to conventional Immunoscore, thereby supporting the value of spatial immune profiling and AI-driven analysis of H&amp;E-stained slides for improved risk stratification in CRC.</summary>
    <dc:date>2026-05-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>HER2 Positivity as a Prognostic Biomarker and Therapeutic Target in Advanced Biliary Tract Cancer: A Multi-institutional Analysis</title>
    <link rel="alternate" href="https://ir.ymlib.yonsei.ac.kr/handle/22282913/212568" />
    <author>
      <name>Lee, Sunyoung S.</name>
    </author>
    <author>
      <name>Seo, Dong Hyun</name>
    </author>
    <author>
      <name>Chung, Taek</name>
    </author>
    <author>
      <name>Fox, Daniel</name>
    </author>
    <author>
      <name>Haro-Silerio, Jaime Ivan</name>
    </author>
    <author>
      <name>Kim, Chang Gon</name>
    </author>
    <author>
      <name>Yoo, Jeong Eun</name>
    </author>
    <author>
      <name>Bhamidipati, Deepak</name>
    </author>
    <author>
      <name>Lee, Sang Hun</name>
    </author>
    <author>
      <name>Meric-Bernstam, Funda</name>
    </author>
    <author>
      <name>Pant, Shubham</name>
    </author>
    <author>
      <name>Choi, Hye Jin</name>
    </author>
    <author>
      <name>Javle, Milind</name>
    </author>
    <author>
      <name>Lee, Choong-kun</name>
    </author>
    <id>https://ir.ymlib.yonsei.ac.kr/handle/22282913/212568</id>
    <updated>2026-06-11T07:30:21Z</updated>
    <published>2026-05-01T00:00:00Z</published>
    <summary type="text">Title: HER2 Positivity as a Prognostic Biomarker and Therapeutic Target in Advanced Biliary Tract Cancer: A Multi-institutional Analysis
Authors: Lee, Sunyoung S.; Seo, Dong Hyun; Chung, Taek; Fox, Daniel; Haro-Silerio, Jaime Ivan; Kim, Chang Gon; Yoo, Jeong Eun; Bhamidipati, Deepak; Lee, Sang Hun; Meric-Bernstam, Funda; Pant, Shubham; Choi, Hye Jin; Javle, Milind; Lee, Choong-kun
Abstract: Purpose: This study aimed to evaluate the prognostic relevance of HER2 positivity and the clinical impact of anti-HER2 therapy in the management of advanced biliary tract cancers using integrated multi-institutional data.Experimental Design: This retrospective analysis included 388 patients with advanced biliary tract cancers and known HER2 status from Yonsei Cancer Center and MD Anderson Cancer Center between 2009 and 2023. HER2 positivity was defined as HER2 IHC 3+, IHC 2+ with in situ hybridization positivity, or ERBB2 amplification by next-generation sequencing. Clinical outcomes, including survival, and genomic profiling with curated oncogenic pathway enrichment were analyzed.Results: HER2 positivity was observed in 25.2% of the epidemiology analysis cohort (n = 309). In the survival analysis (n = 310), HER2-positive biliary tract cancers were associated with shorter overall survival [(OS); 13.7 vs. 17.1 months; HR, 1.25; 95% confidence interval (CI), 0.97-1.60] and significantly shorter first-line progression-free survival (5.1 vs. 7.4 months; HR, 1.91; 95% CI, 1.46-2.48) than HER2-negative biliary tract cancers. Anti-HER2 therapy significantly improved OS among HER2-positive patients (18.2 vs. 8.1 months; HR, 0.39; 95% CI, 0.21-0.62). Genomic analysis showed the strongest enrichment of angiogenesis pathway alterations in HER2-positive patients, whereas KRAS mutations were predominant in HER2-negative biliary tract cancers.Conclusions: HER2 is a clinically meaningful biomarker with prognostic and predictive relevance in advanced biliary tract cancers. Anti-HER2 therapy significantly improves survival in HER2-positive patients. These findings support routine HER2 testing, standardization of HER2 diagnostic criteria, and further prospective evaluation of HER2-targeted strategies for biliary tract cancers. See related commentary by Fitzpatrick and Harding, p. 1603Conclusions: HER2 is a clinically meaningful biomarker with prognostic and predictive relevance in advanced biliary tract cancers. Anti-HER2 therapy significantly improves survival in HER2-positive patients. These findings support routine HER2 testing, standardization of HER2 diagnostic criteria, and further prospective evaluation of HER2-targeted strategies for biliary tract cancers. See related commentary by Fitzpatrick and Harding, p. 1603</summary>
    <dc:date>2026-05-01T00:00:00Z</dc:date>
  </entry>
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