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101


Comparison of intra- and inter-reader agreement of abbreviated versus comprehensive MRCP for pancreatic cyst surveillance

Huang, Chenchan; Prabhu, Vinay; Smereka, Paul; Vij, Abhinav; Anthopolos, Rebecca; Hajdu, Cristina H; Dane, Bari
OBJECTIVE:To retrospectively compare inter- and intra-reader agreement of abbreviated MRCP (aMRCP) with comprehensive MRI (cMRCP) protocol for detection of worrisome features, high-risk stigmata, and concomitant pancreatic cancer in pancreatic cyst surveillance. METHODS:151 patients (104 women, mean age: 69[10] years) with baseline and follow-up contrast-enhanced MRIs were included. This comprised 138 patients under cyst surveillance with 5-year follow-up showing no pancreatic ductal adenocarcinoma (PDAC), 6 with pancreatic cystic lesion-derived malignancy, and 7 with concomitant PDAC. The aMRCP protocol used four sequences (axial and coronal Half-Fourier Single-shot Turbo-spin-Echo, axial T1 fat-saturated pre-contrast, and 3D-MRCP), while cMRCP included all standard sequences, including post-contrast. Three blinded abdominal radiologists assessed baseline cyst characteristics, worrisome features, high-risk stigmata, and PDAC signs using both aMRCP and cMRCP, with a 2-week washout period. Intra- and inter-reader agreement were calculated using Fleiss' multi-rater kappa and Intra-class Correlation Coefficient (ICC). 95% confidence intervals (CI) were calculated. RESULTS:Cyst size, growth, and abrupt main pancreatic duct transition had strong intra- and inter-reader agreement. Intra-reader agreement was ICC = 0.93-0.99 for cyst size, ICC = 0.71-1.00 for cyst growth, and kappa = 0.83-1.00 for abrupt duct transition. Inter-reader agreement for cyst size was ICC = 0.86 (aMRCP) and ICC = 0.83 (cMRCP), and for abrupt duct transition was kappa = 0.84 (aMRCP) and kappa = 0.69 (cMRCP). Thickened cyst wall, mural nodule and cyst-duct communication demonstrated varying intra-reader agreements and poor inter-reader agreements. CONCLUSION/CONCLUSIONS:aMRCP showed high intra- and inter-reader agreement for most pancreatic cyst parameters that highly rely on T2-weighted sequences.
PMID: 38888739
ISSN: 2366-0058
CID: 5670472

Mesenteric Pathologic Conditions: Interactive Case-based Approach

Kernizan, Amelia L; Revels, Jonathan; Hajdu, Cristina; Manning, Maria; Taffel, Myles T
PMID: 37917539
ISSN: 1527-1323
CID: 5610552

Author Correction: Single-cell RNA sequencing reveals the effects of chemotherapy on human pancreatic adenocarcinoma and its tumor microenvironment

Werba, Gregor; Weissinger, Daniel; Kawaler, Emily A; Zhao, Ende; Kalfakakou, Despoina; Dhara, Surajit; Wang, Lidong; Lim, Heather B; Oh, Grace; Jing, Xiaohong; Beri, Nina; Khanna, Lauren; Gonda, Tamas; Oberstein, Paul; Hajdu, Cristina; Loomis, Cynthia; Heguy, Adriana; Sherman, Mara H; Lund, Amanda W; Welling, Theodore H; Dolgalev, Igor; Tsirigos, Aristotelis; Simeone, Diane M
PMID: 37400453
ISSN: 2041-1723
CID: 5539082

Single-cell RNA sequencing reveals the effects of chemotherapy on human pancreatic adenocarcinoma and its tumor microenvironment

Werba, Gregor; Weissinger, Daniel; Kawaler, Emily A; Zhao, Ende; Kalfakakou, Despoina; Dhara, Surajit; Wang, Lidong; Lim, Heather B; Oh, Grace; Jing, Xiaohong; Beri, Nina; Khanna, Lauren; Gonda, Tamas; Oberstein, Paul; Hajdu, Cristina; Loomis, Cynthia; Heguy, Adriana; Sherman, Mara H; Lund, Amanda W; Welling, Theodore H; Dolgalev, Igor; Tsirigos, Aristotelis; Simeone, Diane M
The tumor microenvironment (TME) in pancreatic ductal adenocarcinoma (PDAC) is a complex ecosystem that drives tumor progression; however, in-depth single cell characterization of the PDAC TME and its role in response to therapy is lacking. Here, we perform single-cell RNA sequencing on freshly collected human PDAC samples either before or after chemotherapy. Overall, we find a heterogeneous mixture of basal and classical cancer cell subtypes, along with distinct cancer-associated fibroblast and macrophage subpopulations. Strikingly, classical and basal-like cancer cells exhibit similar transcriptional responses to chemotherapy and do not demonstrate a shift towards a basal-like transcriptional program among treated samples. We observe decreased ligand-receptor interactions in treated samples, particularly between TIGIT on CD8 + T cells and its receptor on cancer cells, and identify TIGIT as the major inhibitory checkpoint molecule of CD8 + T cells. Our results suggest that chemotherapy profoundly impacts the PDAC TME and may promote resistance to immunotherapy.
PMCID:9925748
PMID: 36781852
ISSN: 2041-1723
CID: 5427092

Multi-Center Follow-up Study to Develop a Classification System Which Differentiates Mucinous Cystic Neoplasm of the Liver and Benign Hepatic Cyst Using Machine Learning

Hardie, Andrew D; Chamberlin, Jordan H; Boyum, James H; Sharbidre, Kedar G; Petrocelli, Robert; Flemming, Brian P; Zahid, Mohd; Venkatesh, Sudhakar K; Mruthyunjayappa, Smitha; Hajdu, Cristina H; Kovacs, Mark D
RATIONALE AND OBJECTIVES/OBJECTIVE:To date, no clinically useful classification system has been developed for reliably differentiating mucinous cystic neoplasm (MCN) from a benign hepatic cyst (BHC) in the liver. The objective was to use machine learning and a multi-center study design to develop and assess the performance of a novel classification system for predicting whether a hepatic cystic lesion represents MCN or BHC. MATERIALS AND METHODS/METHODS:A multi-center cohort study identified 154 surgically resected hepatic cystic lesions in 154 subjects which were pathologic confirmed as MCN (43) or BHC (111). Readers at each institution recorded seven pre-determined imaging features previously identified as potential differentiating features from prior publications. The contribution of each of these features to differentiating MCN from BHC was assessed by machine learning to develop an optimal classification system. RESULTS:Although several of the assessed imaging features demonstrated statistical significance, only 3 imaging features were found by machine learning to significantly contribute to a potential classification system: (1) solid enhancing nodule (2) all septations arising from an external macro-lobulation (3) whether the lesion was solitary or one of multiple cystic liver lesions. The optimal classification system had only four categories and correctly identified 144/154 lesion (93.5%). CONCLUSION/CONCLUSIONS:This multi-center follow-up study was able to use machine learning to develop a highly accurate classification system for differentiation of hepatic MCN from BHC, which could be readily applied to clinical practice.
PMID: 34598868
ISSN: 1878-4046
CID: 5067612

Cancer cell states recur across tumor types and form specific interactions with the tumor microenvironment

Barkley, Dalia; Moncada, Reuben; Pour, Maayan; Liberman, Deborah A; Dryg, Ian; Werba, Gregor; Wang, Wei; Baron, Maayan; Rao, Anjali; Xia, Bo; França, Gustavo S; Weil, Alejandro; Delair, Deborah F; Hajdu, Cristina; Lund, Amanda W; Osman, Iman; Yanai, Itai
Transcriptional heterogeneity among malignant cells of a tumor has been studied in individual cancer types and shown to be organized into cancer cell states; however, it remains unclear to what extent these states span tumor types, constituting general features of cancer. Here, we perform a pan-cancer single-cell RNA-sequencing analysis across 15 cancer types and identify a catalog of gene modules whose expression defines recurrent cancer cell states including 'stress', 'interferon response', 'epithelial-mesenchymal transition', 'metal response', 'basal' and 'ciliated'. Spatial transcriptomic analysis linked the interferon response in cancer cells to T cells and macrophages in the tumor microenvironment. Using mouse models, we further found that induction of the interferon response module varies by tumor location and is diminished upon elimination of lymphocytes. Our work provides a framework for studying how cancer cell states interact with the tumor microenvironment to form organized systems capable of immune evasion, drug resistance and metastasis.
PMID: 35931863
ISSN: 1546-1718
CID: 5286422

Anastomosing hemangioma: a current update on clinical, pathological and imaging features

Shanbhogue, Krishna; Khandelwal, Ashish; Hajdu, Cristina; Cao, Wenqing; Surabhi, Venkateswar R; Prasad, Srinivasa R
Anastomosing hemangioma (AH) is a rare, benign vascular neoplasm with distinctive histopathology and characteristic tumor distribution. AHs show marked proclivity to involve the kidneys, gonads and the retroperitoneal soft tissues; kidney is the most common target site often in the context of end stage renal disease. Recent studies have identified activating mutations of GNA genes that drive the molecular pathogenesis of AHs. AH appears as a solitary, well-circumscribed, hypervascular tumor that charters a benign course with an excellent prognosis. The purpose of this article is to provide a current update on clinical, pathological and imaging features of anastomotic hemangioma.
PMID: 35678844
ISSN: 2366-0058
CID: 5248512

Utility of EZH2 Immunostaining for Atypical Bile Duct Brush Cytology [Meeting Abstract]

Chen, F; Wang, Q; Hajdu, C; Szeto, O; Simsir, A; Brandler, T
Background: Bile duct brush cytology (B
EMBASE:638009283
ISSN: 1530-0285
CID: 5252112

Gain-of-function p53R172H mutation drives accumulation of neutrophils in pancreatic tumors, promoting resistance to immunotherapy

Siolas, Despina; Vucic, Emily; Kurz, Emma; Hajdu, Cristina; Bar-Sagi, Dafna
Tumor genotype can influence the immune microenvironment, which plays a critical role in cancer development and therapy resistance. However, the immune effects of gain-of-function Trp53 mutations have not been defined in pancreatic cancer. We compare the immune profiles generated by KrasG12D-mutated mouse pancreatic ductal epithelial cells (PDECs) engineered genetically to express the Trp53R172H mutation with their p53 wild-type control. KrasG12D/+;Trp53R172H/+ tumors have a distinct immune profile characterized by an influx of CD11b+Ly6G+ neutrophils and concomitant decreases in CD3+ T cells, CD8+ T cells, and CD4+ T helper 1 cells. Knockdown of CXCL2, a neutrophil chemokine, in the tumor epithelial compartment of CRISPR KrasG12D/+;Trp53R172H/+ PDEC tumors reverses the neutrophil phenotype. Neutrophil depletion of mice bearing CRISPR KrasG12D/+;Trp53R172H/+ tumors augments sensitivity to combined CD40 immunotherapy and chemotherapy. These data link Trp53R172H to the presence of intratumoral neutrophils in pancreatic cancer and suggest that tumor genotypes could inform selection of affected individuals for immunotherapy.
PMID: 34433022
ISSN: 2211-1247
CID: 5011142

Author Correction: The necrosome promotes pancreatic oncogenesis via CXCL1 and Mincle-induced immune suppression

Seifert, Lena; Werba, Gregor; Tiwari, Shaun; Ly, Nancy Ngoc Giao; Alothman, Sara; Alqunaibit, Dalia; Avanzi, Antonina; Barilla, Rocky; Daley, Donnele; Greco, Stephanie H; Torres-Hernandez, Alejandro; Pergamo, Matthew; Ochi, Atsuo; Zambirinis, Constantinos P; Pansari, Mridul; Rendon, Mauricio; Tippens, Daniel; Hundeyin, Mautin; Mani, Vishnu R; Hajdu, Cristina; Engle, Dannielle; Miller, George
PMID: 33707632
ISSN: 1476-4687
CID: 4809512