Annals of Surgical Oncology最新文献

{"title":"ASO Author Reflections: The Age-Old Question in Nipple-Sparing Mastectomy: Is Older Age a Contraindication?","authors":"Abigail E Daly, Kyle J Anderman, Francys C Verdial","doi":"10.1245/s10434-024-16864-8","DOIUrl":"https://doi.org/10.1245/s10434-024-16864-8","url":null,"abstract":"","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143021908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ASO Visual Abstract: Days at Home After Cancer Surgery-Impact of Area Deprivation and Association with Long-Term Outcomes.","authors":"Odysseas P Chatzipanagiotou, Mujtaba Khalil, Selamawit Woldesenbet, Giovanni Catalano, Timothy M Pawlik","doi":"10.1245/s10434-025-16892-y","DOIUrl":"https://doi.org/10.1245/s10434-025-16892-y","url":null,"abstract":"","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143021911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ASO Visual Abstract: Effect of Minimally Invasive Versus Open Distal Gastrectomy on Long-Term Survival in Patients with Gastric Cancer: Individual Patient Data Meta-analysis.","authors":"Matteo Calì, Davide Bona, Yoo Min Kim, Woojin Hyung, Francesco Cammarata, Gianluca Bonitta, Luigi Bonavina, Alberto Aiolfi","doi":"10.1245/s10434-025-16893-x","DOIUrl":"https://doi.org/10.1245/s10434-025-16893-x","url":null,"abstract":"","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143021912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-Throughput Chemotherapeutic Drug Screening System for Gastric Cancer (Cure-GA).","authors":"Jieun Lee, In Hee Kim, Donghyeok Seol, Sangjun Lee, Mira Yoo, Tae-Kyeong Lee, So Hee Yoon, Eunju Lee, Duyeong Hwang, So Hyun Kang, Young Suk Park, Bosung Ku, Sang Youl Jeon, Yongmun Choi, Keehoon Jung, Ji-Won Kim, Jin Won Kim, Sang-Hoon Ahn, Keun-Wook Lee, Hyung-Ho Kim, Hyeon Jeong Oh, Dong Woo Lee, Yun-Suhk Suh","doi":"10.1245/s10434-024-16850-0","DOIUrl":"https://doi.org/10.1245/s10434-024-16850-0","url":null,"abstract":"<p><strong>Background: </strong>Three dimensional (3D) cell cultures can be effectively used for drug discovery and development but there are still challenges in their general application to high-throughput screening. In this study, we developed a novel high-throughput chemotherapeutic 3D drug screening system for gastric cancer, named 'Cure-GA', to discover clinically applicable anticancer drugs and predict therapeutic responses.</p><p><strong>Methods: </strong>Primary cancer cells were isolated from 143 fresh surgical specimens by enzymatic treatment. Cell-Matrigel mixtures were automatically printed onto the micropillar surface then stabilized in an optimal culture medium for 3 days to form tumoroids. These tumoroids were exposed in the drug-containing media for 7 days. Cell viability was measured by fluorescence imaging and adenosine triphosphate assays. On average, 0.31 ± 0.23 g of fresh tumor tissue yielded 4.05×10⁶ ± 4.38×10⁶ viable cells per sample.</p><p><strong>Results: </strong>Drug response results were successfully acquired from 103 gastric cancer tissues (success rate = 72%) within 13 ± 2 days, averaging 6.4 ± 2.7 results per sample. Pearson correlation analysis showed viable cell numbers significantly impacted drug data acquisition (p < 0.00001). Tumoroids retained immunohistochemical characteristics, mutation signatures, and gene expression consistent with primary tumors. Drug reactivity data enabled prediction of synergistic drug correlations. Additionally, a multiparameter index-based prognosis model for patients undergoing gastrectomy followed by adjuvant XELOX was developed, showing significant differences in 1-year recurrence-free survival rates between drug responders and non-responders (p < 0.0001).</p><p><strong>Conclusions: </strong>The Cure-GA platform enables rapid evaluation of chemotherapeutic responses using patient-derived tumoroids, providing clinicians with crucial insights for personalized treatment strategies and improving therapeutic outcomes.</p>","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143021921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ASO Author Reflections: Tailored Strategies to Prevent Anastomotic Leakage After Colorectal Resections: The Importance of Understanding Risks in Different Patient Subtypes.","authors":"Francesco Santullo, Virginia Vargiu, Andrea Rosati, Barbara Costantini, Valerio Gallotta, Claudio Lodoli, Carlo Abatini, Miriam Attalla El Halabieh, Valentina Ghirardi, Federica Ferracci, Lorena Quagliozzi, Angelica Naldini, Fabio Pacelli, Giovanni Scambia, Anna Fagotti","doi":"10.1245/s10434-025-16927-4","DOIUrl":"https://doi.org/10.1245/s10434-025-16927-4","url":null,"abstract":"","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ASO Visual Abstract: Short-Term Patient-Reported Outcomes Following Bilateral Risk-Reducing Mastectomy for Patients at High Risk for Breast Cancer: A Systematic Review.","authors":"Koumani W Ntowe, Michael S Lee, Victoria N Yi, Samantha J Kaplan, Brett T Phillips, Akiko Chiba, Jennifer K Plichta","doi":"10.1245/s10434-025-16902-z","DOIUrl":"https://doi.org/10.1245/s10434-025-16902-z","url":null,"abstract":"","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143021917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Risk of Lymph Node Metastasis in T2 Colon Cancer: A Nationwide Population-Based Cohort Study.","authors":"Julia Hanevelt, Richard M Brohet, Leon M G Moons, Miangela M Laclé, Frank P Vleggaar, Henderik L van Westreenen, Wouter H de Vos Tot Nederveen Cappel","doi":"10.1245/s10434-025-16921-w","DOIUrl":"https://doi.org/10.1245/s10434-025-16921-w","url":null,"abstract":"<p><strong>Background: </strong>Similar to T1 colon cancer (CC), risk stratification may guide T2 CC treatment and reduce unnecessary major surgery. In this study, prediction models were developed that could identify T2 CC patients with a lower risk of lymph node metastasis (LNM) for whom (intensive) follow-up after local treatment could be considered.</p><p><strong>Methods: </strong>A nationwide cohort study was performed involving pT2 CC patients who underwent surgery between 2012 and 2020, using data from the Dutch ColoRectal Audit, which were linked to the Nationwide Pathology Databank. Four machine learning models were evaluated to predict LNM.</p><p><strong>Results: </strong>LNMs were found in 1877/9803 patients (19.1%). Independent risk factors included (younger) age (odds ratio [OR] 0.98, 95% confidence interval [CI] 0.979-0.990), left-sided CC (OR 1.5, 95% CI 1.4-1.7), poor differentiation (OR 1.7, 95% CI 1.4-2.2), and lymphovascular invasion (LVI; OR 4.1, 95% CI 3.6-4.7). A deficient mismatch repair (MMR) status significantly lowered the risk of LNM (OR 0.3, 95% CI 0.2-0.5). The general linear model demonstrated the highest prediction accuracy, achieving area under the receiver operating characteristic curves of 0.67 and 0.68, with good calibration. In the absence of risk factors, elderly patients (≥74 years of age) had a predicted risk of LNM of 10.7%, yet up to 30% experienced postoperative complications, with mortality rates reaching up to 3.5%. Patients with a deficient MMR status had a predicted risk of LNM of 6.1% if LVI was absent and the tumor was well-differentiated.</p><p><strong>Conclusions: </strong>The risk of LNM should be weighed against surgical risks. The findings of this study will enable clinicians to make more deliberate considerations about these competing risks before making a shared decision.</p>","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143021924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ASO Visual Abstract: Association Between Delayed/Forgone Medical Care and Resource Utilization Among Women with Breast Cancer in the United States.","authors":"Kriyana P Reddy, Kathleen Jarrell, Cara Berkowitz, Sarah Hulse, Leisha C Elmore, Rebecca Fishman, Rachel A Greenup, Alina M Mateo, Jami D Rothman, Dahlia M Sataloff, Julia C Tchou, S Yousuf Zafar, Oluwadamilola M Fayanju","doi":"10.1245/s10434-024-16776-7","DOIUrl":"https://doi.org/10.1245/s10434-024-16776-7","url":null,"abstract":"","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143021910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ASO Visual Abstract: Mitigating Postoperative Fistula Risks in Laparoscopic Pancreatic Enucleation-A Retrospective Study.","authors":"Lin Li, Xuechuan Li, Ke Liu, Wenguang Wu, Maolan Li, Yingbin Liu","doi":"10.1245/s10434-025-16871-3","DOIUrl":"https://doi.org/10.1245/s10434-025-16871-3","url":null,"abstract":"","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143021914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting Postoperative Infection After Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy with Splenectomy.","authors":"Nolan M Winicki, Shannon N Radomski, Yusuf Ciftci, Fabian M Johnston, Jonathan B Greer","doi":"10.1245/s10434-024-16728-1","DOIUrl":"https://doi.org/10.1245/s10434-024-16728-1","url":null,"abstract":"<p><strong>Background: </strong>Hematologic changes after splenectomy and hyperthermic intraperitoneal chemotherapy (HIPEC) can complicate postoperative assessment of infection. This study aimed to develop a machine-learning model to predict postoperative infection after cytoreductive surgery (CRS) and HIPEC with splenectomy.</p><p><strong>Methods: </strong>The study enrolled patients in the national TriNetX database and at the Johns Hopkins Hospital (JHH) who underwent splenectomy during CRS/HIPEC from 2010 to 2024. Demographics, comorbidities, vital signs, daily laboratory values, and documented infections were collected. The patients were divided into infected and non-infected cohorts within 14 days postoperatively. Extreme gradient boost (XGBoost) machine-learning was used to predict postoperative infection. An initial model was generated using the TriNetX dataset and externally validated in the JHH cohort.</p><p><strong>Results: </strong>From TriNetX, 1016 patients were included: 802 in the non-infected group (79%) and 214 (21%) in the postoperative infection group. The mean age was 61 ± 13 years, and 597 (56%) of the patientswere female. Most of the patients underwent CRS/HIPEC with splenectomy for appendiceal cancer (n = 590, 56%), followed by colorectal malignancy (n = 299, 29%). The remainder (n = 127, 15%) underwent CRS/HIPEC with splenectomy for gastric, pancreatic, ovarian, and small bowel malignancies or peritoneal mesothelioma. In detecting any infection, XGBoost exhibited excellent prediction accuracy (area under the receiver operating characteristic curve [AUC], 0.910 ± 0.073; F1 score, 0.915 ± 0.040) and retained high accuracy upon external validation with 96 demographically similar JHH patients (AUC, 0.823 ± 0.08; F1 score, 0.864 ± 0.03).</p><p><strong>Conclusion: </strong>A novel machine-learning algorithm was developed to predict postoperative infection after CRS/HIPEC with splenectomy that could aid in the early diagnosis and initiation of treatment.</p>","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142999121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}