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  1. Article ; Online: Carnitine palmitoyltransferase 1B mediates gemcitabine resistance in pancreatic cancer.

    Srienc, Michael K / Donahue, Timothy R

    Surgery

    2024  Volume 175, Issue 5, Page(s) 1276–1277

    MeSH term(s) Humans ; Carnitine O-Palmitoyltransferase/genetics ; Carnitine O-Palmitoyltransferase/metabolism ; Gemcitabine ; Kinetics ; Pancreatic Neoplasms/drug therapy
    Chemical Substances Carnitine O-Palmitoyltransferase (EC 2.3.1.21) ; Gemcitabine
    Language English
    Publishing date 2024-03-25
    Publishing country United States
    Document type Editorial
    ZDB-ID 202467-6
    ISSN 1532-7361 ; 0039-6060
    ISSN (online) 1532-7361
    ISSN 0039-6060
    DOI 10.1016/j.surg.2024.02.018
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Invited Commentary: Adjuvant Chemotherapy Is Beneficial in Stage III Ampullary Adenocarcinoma.

    Premji, Alykhan M / Donahue, Timothy R

    Journal of the American College of Surgeons

    2023  Volume 237, Issue 3, Page(s) 512–514

    MeSH term(s) Humans ; Ampulla of Vater/surgery ; Chemotherapy, Adjuvant ; Common Bile Duct Neoplasms/drug therapy ; Common Bile Duct Neoplasms/surgery ; Adenocarcinoma/drug therapy ; Adenocarcinoma/surgery ; Neoplasm Staging ; Retrospective Studies
    Language English
    Publishing date 2023-06-01
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 1181115-8
    ISSN 1879-1190 ; 1072-7515
    ISSN (online) 1879-1190
    ISSN 1072-7515
    DOI 10.1097/XCS.0000000000000766
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Cancer-Related Venous Thromboembolism as a Complication and Negative Prognostic Factor.

    Ghukasyan, Razmik / Donahue, Timothy R

    Gastroenterology

    2020  Volume 158, Issue 5, Page(s) 1214–1215

    MeSH term(s) Anticoagulants ; Humans ; Incidence ; Neoplasms ; Pancreatic Neoplasms ; Prognosis ; Venous Thromboembolism
    Chemical Substances Anticoagulants
    Language English
    Publishing date 2020-02-13
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 80112-4
    ISSN 1528-0012 ; 0016-5085
    ISSN (online) 1528-0012
    ISSN 0016-5085
    DOI 10.1053/j.gastro.2020.02.017
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Construction of a radiogenomic association map of pancreatic ductal adenocarcinoma.

    Jamshidi, Neema / Senthilvelan, Jayasuriya / Dawson, David W / Donahue, Timothy R / Kuo, Michael D

    BMC cancer

    2023  Volume 23, Issue 1, Page(s) 189

    Abstract: Background: Pancreatic adenocarcinoma (PDAC) persists as a malignancy with high morbidity and mortality that can benefit from new means to characterize and detect these tumors, such as radiogenomics. In order to address this gap in the literature, ... ...

    Abstract Background: Pancreatic adenocarcinoma (PDAC) persists as a malignancy with high morbidity and mortality that can benefit from new means to characterize and detect these tumors, such as radiogenomics. In order to address this gap in the literature, constructed a transcriptomic-CT radiogenomic (RG) map for PDAC.
    Methods: In this Institutional Review Board approved study, a cohort of subjects (n = 50) with gene expression profile data paired with histopathologically confirmed resectable or borderline resectable PDAC were identified. Studies with pre-operative contrast-enhanced CT images were independently assessed for a set of 88 predefined imaging features. Microarray gene expression profiling was then carried out on the histopathologically confirmed pancreatic adenocarcinomas and gene networks were constructed using Weighted Gene Correlation Network Analysis (WCGNA) (n = 37). Data were analyzed with bioinformatics analyses, multivariate regression-based methods, and Kaplan-Meier survival analyses.
    Results: Survival analyses identified multiple features of interest that were significantly associated with overall survival, including Tumor Height (P = 0.014), Tumor Contour (P = 0.033), Tumor-stroma Interface (P = 0.014), and the Tumor Enhancement Ratio (P = 0.047). Gene networks for these imaging features were then constructed using WCGNA and further annotated according to the Gene Ontology (GO) annotation framework for a biologically coherent interpretation of the imaging trait-associated gene networks, ultimately resulting in a PDAC RG CT-transcriptome map composed of 3 stage-independent imaging traits enriched in metabolic processes, telomerase activity, and podosome assembly (P < 0.05).
    Conclusions: A CT-transcriptomic RG map for PDAC composed of semantic and quantitative traits with associated biology processes predictive of overall survival, was constructed, that serves as a reference for further mechanistic studies for non-invasive phenotyping of pancreatic tumors.
    MeSH term(s) Humans ; Pancreatic Neoplasms/diagnostic imaging ; Pancreatic Neoplasms/genetics ; Adenocarcinoma/diagnostic imaging ; Adenocarcinoma/genetics ; Carcinoma, Pancreatic Ductal/diagnostic imaging ; Carcinoma, Pancreatic Ductal/genetics ; Gene Expression Profiling/methods ; Prognosis ; Pancreatic Neoplasms
    Language English
    Publishing date 2023-02-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2041352-X
    ISSN 1471-2407 ; 1471-2407
    ISSN (online) 1471-2407
    ISSN 1471-2407
    DOI 10.1186/s12885-023-10658-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Establishing a mouse model of lung metastases using ultrasound-guided right heart ventricle injection.

    Labora, Amanda / Creech, Amanda / Lee, Hailey / Tabornal, Erin / Radu, Caius / Donahue, Timothy

    STAR protocols

    2023  Volume 4, Issue 4, Page(s) 102698

    Abstract: We report a technique to generate a murine model of lung metastases by selectively injecting tumor cells into the right heart ventricle under ultrasound guidance. First, we describe cell preparation and reference animal preparation as previously ... ...

    Abstract We report a technique to generate a murine model of lung metastases by selectively injecting tumor cells into the right heart ventricle under ultrasound guidance. First, we describe cell preparation and reference animal preparation as previously described. We then detail the technique using a previously described 3D-printed instrument stabilization device. Finally, we describe tumor growth surveillance using bioluminescent imaging. For complete details on the use and execution of this protocol, please refer to Labora et al.
    MeSH term(s) Animals ; Mice ; Disease Models, Animal ; Heart Ventricles/diagnostic imaging ; Ultrasonography ; Lung Neoplasms/diagnostic imaging ; Ultrasonography, Interventional
    Language English
    Publishing date 2023-11-04
    Publishing country United States
    Document type Journal Article
    ISSN 2666-1667
    ISSN (online) 2666-1667
    DOI 10.1016/j.xpro.2023.102698
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Neoadjuvant chemotherapy is associated with improved disease-free survival in pancreatic cancer patients undergoing pancreaticoduodenectomy with vascular resection.

    Dillon, Dustin L / Park, Joon Y / Mederos, Michael A / Seo, Young-Ji / King, Jonathan / Hines, Joe / Donahue, Timothy / Girgis, Mark D

    Journal of surgical oncology

    2024  

    Abstract: Background and objectives: Neoadjuvant chemotherapy (NAC) is becoming favored for all pancreatic adenocarcinoma (PDAC). Patients with seemingly resectable disease infrequently still display vascular involvement intraoperatively. Outcomes following NAC ... ...

    Abstract Background and objectives: Neoadjuvant chemotherapy (NAC) is becoming favored for all pancreatic adenocarcinoma (PDAC). Patients with seemingly resectable disease infrequently still display vascular involvement intraoperatively. Outcomes following NAC versus upfront surgery in patients undergoing pancreaticoduodenectomy (PD) with vascular resection are unknown.
    Methods: We performed a retrospective cohort study of PDAC patients who underwent PD with vascular resection between January 1, 2013, to December 31, 2020, within a single academic center. Clinicopathologic characteristics and disease-free survival (DFS) were compared between NAC versus upfront surgery cohorts using the Kaplan-Meier estimate and Cox proportional-hazards regression model.
    Results: Eighty-one patients who underwent PD with vascular resection for PDAC were included. Forty-six patients (56%) received NAC. The NAC cohort more often had pathologic N0 status (47.8% vs. 8.6%, p < 0.001), had decreased vascular invasion (11% vs. 40%, p = 0.002), and completed chemotherapy (80% vs. 40%, p < 0.01). The NAC cohort demonstrated improved DFS (40.5 vs. 14.3 months, p = 0.007). In multivariable analysis, NAC remained independently associated with increased DFS (HR = 0.48, p = 0.02).
    Conclusions: NAC was associated with improved clinicopathologic outcomes and DFS in PD with vascular resection. These findings demonstrate the advantage of NAC in PDAC patients undergoing PD with vascular resection.
    Language English
    Publishing date 2024-05-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 82063-5
    ISSN 1096-9098 ; 0022-4790
    ISSN (online) 1096-9098
    ISSN 0022-4790
    DOI 10.1002/jso.27674
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Pancreatic Cancer.

    Moore, Alexandra / Donahue, Timothy

    JAMA

    2019  Volume 322, Issue 14, Page(s) 1426

    MeSH term(s) Adenocarcinoma/diagnosis ; Adenocarcinoma/drug therapy ; Adenocarcinoma/surgery ; Combined Modality Therapy ; Humans ; Pancreatic Neoplasms/diagnosis ; Pancreatic Neoplasms/drug therapy ; Pancreatic Neoplasms/surgery ; Risk Factors
    Language English
    Publishing date 2019-10-08
    Publishing country United States
    Document type Patient Education Handout
    ZDB-ID 2958-0
    ISSN 1538-3598 ; 0254-9077 ; 0002-9955 ; 0098-7484
    ISSN (online) 1538-3598
    ISSN 0254-9077 ; 0002-9955 ; 0098-7484
    DOI 10.1001/jama.2019.14699
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Machine Learning Based Prediction of Postoperative Pancreatic Fistula Following Pancreaticoduodenectomy.

    Verma, Arjun / Balian, Jeffrey / Hadaya, Joseph / Premji, Alykhan / Shimizu, Takayuki / Donahue, Timothy / Benharash, Peyman

    Annals of surgery

    2023  

    Abstract: Objective: To develop a novel machine learning (ML) model to predict clinically relevant postoperative pancreatic fistula (CR-POPF) following pancreaticoduodenectomy (PD).: Summary background data: Accurate prognostication of CR-POPF may allow for ... ...

    Abstract Objective: To develop a novel machine learning (ML) model to predict clinically relevant postoperative pancreatic fistula (CR-POPF) following pancreaticoduodenectomy (PD).
    Summary background data: Accurate prognostication of CR-POPF may allow for risk stratification and adaptive treatment strategies for potential PD candidates. However, antecedent models, such as the modified Fistula Risk Score (mFRS), are limited by poor discrimination and calibration.
    Methods: All records entailing PD within the 2014-2018 ACS NSQIP were identified. Additionally, patients undergoing PD at our institution between 2013 and 2021 were queried from our local data repository. An eXtreme Gradient Boosting (XGBoost) model was developed to estimate the risk of CR-POPF using data from the ACS NSQIP and evaluated using institutional data. Model discrimination was estimated using the area under the receiver operating characteristic (AUROC) and precision recall curve (AUPRC).
    Results: Overall, 12,281 and 445 patients undergoing PD were identified within the 2014-2018 ACS NSQIP and our institutional registry, respectively. Application of the XGBoost and mFRS scores to the internal validation dataset revealed that the former model had significantly greater AUROC (0.72 vs. 0.68, P<0.001) and AUPRC (0.22 vs. 0.18, P<0.001). Within the external validation dataset, the XGBoost model remained superior to the mFRS with an AUROC of 0.79 (95% CI 0.74-0.84) versus 0.75 (95% CI 0.70-0.80, P<0.001). In addition, AUPRC was higher for the XGBoost model, compared to the mFRS.
    Conclusions: Our novel ML model consistently outperformed the previously validated mFRS within internal and external validation cohorts, thereby demonstrating its generalizability and utility for enhancing prediction of CR-POPF.
    Language English
    Publishing date 2023-11-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 340-2
    ISSN 1528-1140 ; 0003-4932
    ISSN (online) 1528-1140
    ISSN 0003-4932
    DOI 10.1097/SLA.0000000000006123
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Compliance of National Cancer Institute-Designated Cancer Centers With January 2021 Price Transparency Requirements.

    Childers, Christopher P / Guorgui, Jacob / Siddiqui, Sami / Donahue, Timothy

    JAMA surgery

    2022  Volume 157, Issue 10, Page(s) 959–960

    MeSH term(s) Humans ; Medicaid ; Medicare ; National Cancer Institute (U.S.) ; Neoplasms ; United States
    Language English
    Publishing date 2022-08-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2701841-6
    ISSN 2168-6262 ; 2168-6254
    ISSN (online) 2168-6262
    ISSN 2168-6254
    DOI 10.1001/jamasurg.2022.3125
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Laparoscopic Cholecystectomy.

    Kim, Stephanie S / Donahue, Timothy R

    JAMA

    2018  Volume 319, Issue 17, Page(s) 1834

    MeSH term(s) Cholecystectomy, Laparoscopic/adverse effects ; Cholecystectomy, Laparoscopic/methods ; Cholecystitis/surgery ; Gallstones/surgery ; Humans ; Postoperative Complications
    Language English
    Publishing date 2018--01
    Publishing country United States
    Document type Patient Education Handout
    ZDB-ID 2958-0
    ISSN 1538-3598 ; 0254-9077 ; 0002-9955 ; 0098-7484
    ISSN (online) 1538-3598
    ISSN 0254-9077 ; 0002-9955 ; 0098-7484
    DOI 10.1001/jama.2018.3438
    Database MEDical Literature Analysis and Retrieval System OnLINE

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