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Gopal P, Robert ME, Zhang X. Cholangiocarcinoma: Pathologic and Molecular Classification in the Era of Precision Medicine. Arch Pathol Lab Med 2024; 148:359-370. [PMID: 37327187 DOI: 10.5858/arpa.2022-0537-ra] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/28/2023] [Indexed: 06/18/2023]
Abstract
CONTEXT.— Cholangiocarcinoma (CCA) is a heterogeneous cancer of the bile duct, and its diagnosis is often challenging. OBJECTIVE.— To provide insights into state-of-the-art approaches for the diagnosis of CCA. DATA SOURCES.— Literature review via PubMed search and authors' experiences. CONCLUSIONS.— CCA can be categorized as intrahepatic or extrahepatic. Intrahepatic CCA is further classified into small-duct-type and large-duct-type, whereas extrahepatic CCA is classified into distal and perihilar according to site of origin within the extrahepatic biliary tree. Tumor growth patterns include mass forming, periductal infiltrating, and intraductal tumors. The clinical diagnosis of CCA is challenging and usually occurs at an advanced tumor stage. Pathologic diagnosis is made difficult by tumor inaccessibility and challenges in distinguishing CCA from metastatic adenocarcinoma to the liver. Immunohistochemical stains can assist in differentiating CCA from other malignancies, such as hepatocellular carcinoma, but no distinctive CCA-specific immunohistochemical profile has been identified. Recent advances in next-generation sequencing-based high-throughput assays have identified distinct genomic profiles of CCA subtypes, including genomic alterations that are susceptible to targeted therapies or immune checkpoint inhibitors. Detailed histopathologic and molecular evaluations of CCA by pathologists are critical for correct diagnosis, subclassification, therapeutic decision-making, and prognostication. The first step toward achieving these goals is to acquire a detailed understanding of the histologic and genetic subtypes of this heterogeneous tumor group. Here, we review state-of-the-art approaches that should be applied to establish a diagnosis of CCA, including clinical presentation, histopathology, staging, and the practical use of genetic testing methodologies.
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Affiliation(s)
- Purva Gopal
- From the Department of Pathology, UT Southwestern Medical Center, Dallas, Texas (Gopal)
| | - Marie E Robert
- the Department of Pathology, Yale University School of Medicine, New Haven, Connecticut (Robert, Zhang)
| | - Xuchen Zhang
- the Department of Pathology, Yale University School of Medicine, New Haven, Connecticut (Robert, Zhang)
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2
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Zhang SL, Wang HL. Ancillary tests for hepatobiliary neoplasms: what we know and what we need to know. Hum Pathol 2023; 141:183-200. [PMID: 36775105 DOI: 10.1016/j.humpath.2023.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/29/2023] [Accepted: 02/04/2023] [Indexed: 02/12/2023]
Abstract
Ancillary tests are commonly used in the surgical pathology setting for diagnosing challenging neoplastic diseases of the liver and biliary tract, while histology and clinical correlation remain to be critically important. With continuous discoveries, more and more useful ancillary tests have become available, which can help distinguish between malignant and benign hepatocellular neoplasms, malignant and benign biliary tract entities, and intrahepatic and metastatic carcinomas. This review will focus on existing and emerging biomarkers (such as glutamine synthetase, organic anion transporting polypeptide 1B3, insulin-like growth factor-II mRNA binding protein-3, S100P, SMAD4, enhancer of zeste homolog 2, albumin, hepatocyte nuclear factor-1β, etc.) that can be used for the diagnosis, classification and prognostication of hepatobiliary neoplasms.
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Affiliation(s)
- Sarah L Zhang
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine and Ronald Reagan Medical Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Hanlin L Wang
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine and Ronald Reagan Medical Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA.
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3
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Shafiekhani S, Dehghanbanadaki H, Fatemi AS, Rahbar S, Hadjati J, Jafari AH. Prediction of anti-CD25 and 5-FU treatments efficacy for pancreatic cancer using a mathematical model. BMC Cancer 2021; 21:1226. [PMID: 34781899 PMCID: PMC8594222 DOI: 10.1186/s12885-021-08770-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Accepted: 09/09/2021] [Indexed: 02/18/2023] Open
Abstract
BACKGROUND Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal disease with rising incidence and with 5-years overall survival of less than 8%. PDAC creates an immune-suppressive tumor microenvironment to escape immune-mediated eradication. Regulatory T (Treg) cells and myeloid-derived suppressor cells (MDSC) are critical components of the immune-suppressive tumor microenvironment. Shifting from tumor escape or tolerance to elimination is the major challenge in the treatment of PDAC. RESULTS In a mathematical model, we combine distinct treatment modalities for PDAC, including 5-FU chemotherapy and anti- CD25 immunotherapy to improve clinical outcome and therapeutic efficacy. To address and optimize 5-FU and anti- CD25 treatment (to suppress MDSCs and Tregs, respectively) schedule in-silico and simultaneously unravel the processes driving therapeutic responses, we designed an in vivo calibrated mathematical model of tumor-immune system (TIS) interactions. We designed a user-friendly graphical user interface (GUI) unit which is configurable for treatment timings to implement an in-silico clinical trial to test different timings of both 5-FU and anti- CD25 therapies. By optimizing combination regimens, we improved treatment efficacy. In-silico assessment of 5-FU and anti- CD25 combination therapy for PDAC significantly showed better treatment outcomes when compared to 5-FU and anti- CD25 therapies separately. Due to imprecise, missing, or incomplete experimental data, the kinetic parameters of the TIS model are uncertain that this can be captured by the fuzzy theorem. We have predicted the uncertainty band of cell/cytokines dynamics based on the parametric uncertainty, and we have shown the effect of the treatments on the displacement of the uncertainty band of the cells/cytokines. We performed global sensitivity analysis methods to identify the most influential kinetic parameters and simulate the effect of the perturbation on kinetic parameters on the dynamics of cells/cytokines. CONCLUSION Our findings outline a rational approach to therapy optimization with meaningful consequences for how we effectively design treatment schedules (timing) to maximize their success, and how we treat PDAC with combined 5-FU and anti- CD25 therapies. Our data revealed that a synergistic combinatorial regimen targeting the Tregs and MDSCs in both crisp and fuzzy settings of model parameters can lead to tumor eradication.
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Affiliation(s)
- Sajad Shafiekhani
- Departments of Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Research Center for Biomedical Technologies and Robotics, Tehran, Iran.,Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Hojat Dehghanbanadaki
- Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.,Metabolic Disorders Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Azam Sadat Fatemi
- Departments of Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Research Center for Biomedical Technologies and Robotics, Tehran, Iran
| | - Sara Rahbar
- Departments of Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Research Center for Biomedical Technologies and Robotics, Tehran, Iran
| | - Jamshid Hadjati
- Departments of Medical Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Amir Homayoun Jafari
- Departments of Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran. .,Research Center for Biomedical Technologies and Robotics, Tehran, Iran.
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4
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Tannous T, Perez Rodriguez AL, Mak AW, Tannous K, Keating M. Primary Clear Cell Carcinoma of the Pancreas: A Systematic Review. Cureus 2021; 13:e15668. [PMID: 34150416 PMCID: PMC8208729 DOI: 10.7759/cureus.15668] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/15/2021] [Indexed: 02/06/2023] Open
Abstract
Over the years, the world has witnessed many advances in diagnosing and treating multiple types of cancers. These breakthroughs have revolutionized the understanding of the molecular drive behind these neoplasms, leading to tangible therapeutic evolution and promising prognostic implications. However, pancreatic cancer remains a highly lethal disease. With recent discoveries, modern medicine has been able to delineate histopathologic subtypes of pancreatic cancer in hopes of improved diagnosis and treatment to improve survival. A once vague entity, clear cell adenocarcinoma of the pancreas, in particular, has been better characterized on a histopathological and molecular level over the past two decades. With novel technological support, this disease has become less inconspicuous, and more researchers have reported its occurrence. Its diagnosis relies heavily on a mix of histological and immunohistochemical clues such as a clear cell cytoplasm and positivity for cytokeratins and other markers. However, new molecular markers, such as hepatocyte nuclear factor 1 beta, have been associated with this entity and may aid in further diagnostic and therapeutic strategies. This review article aims to portray how the identification and description of clear cell adenocarcinoma of the pancreas have evolved over the past few decades and how this may impact future treatment strategies.
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Affiliation(s)
- Toufic Tannous
- Internal Medicine, Roger Williams Medical Center/Boston University, Providence, USA
| | | | - Andrew W Mak
- Division of Hematology/Oncology, Roger Williams Medical Center/Boston University, Providence, USA
| | - Karim Tannous
- Faculty of Medicine, University of Balamand, Faculty of Medicine, Tripoli, LBN
| | - Matthew Keating
- Hematology and Medical Oncology, University of California Irvine, Irvine, USA
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5
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Patil PA, Taddei T, Jain D, Zhang X. HNF-1β is a More Sensitive and Specific Marker Than C-Reactive Protein for Identifying Biliary Differentiation in Primary Hepatic Carcinomas. Arch Pathol Lab Med 2021; 146:220-226. [PMID: 34086854 DOI: 10.5858/arpa.2020-0725-oa] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/18/2021] [Indexed: 02/05/2023]
Abstract
CONTEXT.— Intrahepatic cholangiocarcinoma (iCCA) needs to be distinguished from hepatocellular carcinoma (HCC) and metastasis, and in the absence of any specific biliary markers, is often a diagnosis of exclusion. Hepatocyte nuclear factor (HNF)-1β is a transcription factor that plays a critical role in bile duct system morphogenesis. OBJECTIVE.— To investigate the diagnostic value of HNF-1β to differentiate iCCA from HCC by immunohistochemistry and compare HNF-1β with C-reactive protein (CRP), a previously identified marker for iCCA. DESIGN.— Cases of iCCA (n = 75), combined hepatocellular-cholangiocarcinoma (cHCC-CCA) (n = 13) and HCC (n = 65) were included in the study. RESULTS.— All cases of iCCA (74 of 74, 100%) expressed HNF-1β compared with CRP expressed in 72.60% (53 of 73). The sensitivity and specificity of HNF-1β to differentiate iCCA from HCC was 100% and 92.31%, whereas the sensitivity and specificity for CRP was 75.58% and 7.79%. The expression of HNF-1β was greater in iCCA and the CCA component of cHCC-CCA compared with CRP (87 of 87, 100% versus 65 of 86, 75.58%, P < .001). On the contrary, CRP was more frequently expressed compared with HNF-1β in HCC and HCC component of cHCC-CCA (71 of 77, 92.21% versus 6 of 78, 7.69%; P < .001). CONCLUSIONS.— Our data indicate that HNF-1β is a more sensitive and specific marker than CRP for the diagnosis of iCCA and to identify the CCA component in cHCC-CCA. Lack of HNF-1β expression may be used to exclude iCCA from consideration in cases of adenocarcinomas of unknown primary.
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Affiliation(s)
- Pallavi A Patil
- From the Department of Pathology (Patil, Jain, Zhang), Yale University School of Medicine, New Haven, Connecticut.,Patil is currently located in the Department of Pathology at the University of South Alabama, in Mobile, Alabama
| | - Tamar Taddei
- Section of Digestive Diseases (Taddei), Yale University School of Medicine, New Haven, Connecticut
| | - Dhanpat Jain
- From the Department of Pathology (Patil, Jain, Zhang), Yale University School of Medicine, New Haven, Connecticut
| | - Xuchen Zhang
- From the Department of Pathology (Patil, Jain, Zhang), Yale University School of Medicine, New Haven, Connecticut
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6
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Zong Y, Xiong Y, Dresser K, Yang M, Bledsoe JR. Polyclonal PAX8 expression in carcinomas of the biliary tract - Frequent non-specific staining represents a potential diagnostic pitfall. Ann Diagn Pathol 2021; 53:151762. [PMID: 34102541 DOI: 10.1016/j.anndiagpath.2021.151762] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 05/21/2021] [Indexed: 10/21/2022]
Abstract
Paired box protein 8 (PAX8) is a transcription factor that is considered a relatively specific marker of carcinomas of the thyroid, kidney, and Müllerian/Wolffian duct derivatives. Unexpected PAX8 immunoreactivity has occasionally been reported in other tumors. The frequency of PAX8 expression in carcinomas of the biliary tract is not well studied. We evaluated the immunohistochemical expression of PAX8 in 73 cases of biliary tract carcinoma. We found that 28 of 73 (38%) biliary tract carcinomas had variable immunoreactivity for PAX8, assessed by a widely used polyclonal antibody (ProteinTech Group, Chicago, IL). This included 3 (4%) of cases with strong diffuse, and 14 (19%) of cases with strong focal staining. Strong PAX8 expression was more frequent in distal bile duct carcinomas than other biliary sites (p = 0.015), and showed a weak association with advanced T stage (T3-T4 versus T1-T2; p = 0.09). No correlation was observed between PAX8 positivity and age at diagnosis, gender, or lymph node metastasis. The 28 polyclonal PAX8-positive cases were largely negative for monoclonal PAX8 and PAX6 immunostains, with only rare tumor cells with weak immunoreactivity being present in a subset of cases. We show that a substantial fraction of biliary tract carcinomas exhibit immunoreactivity with a widely used polyclonal PAX8 antibody. Pathologists should be aware of this potential pitfall during the diagnostic workup of hepatobiliary lesions to avoid misdiagnosis as a metastasis from a PAX8-positive tumor.
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Affiliation(s)
- Yang Zong
- Department of Pathology, UMass Memorial Medical Center, University of Massachusetts Medical School, Worcester, MA 01605, USA.
| | - Yiqin Xiong
- Department of Pathology, UMass Memorial Medical Center, University of Massachusetts Medical School, Worcester, MA 01605, USA.
| | - Karen Dresser
- Department of Pathology, UMass Memorial Medical Center, University of Massachusetts Medical School, Worcester, MA 01605, USA.
| | - Michelle Yang
- Department of Pathology, UMass Memorial Medical Center, University of Massachusetts Medical School, Worcester, MA 01605, USA.
| | - Jacob R Bledsoe
- Department of Pathology, UMass Memorial Medical Center, University of Massachusetts Medical School, Worcester, MA 01605, USA.
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7
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Dhara S, Chhangawala S, Chintalapudi H, Askan G, Aveson V, Massa AL, Zhang L, Torres D, Makohon-Moore AP, Lecomte N, Melchor JP, Bermeo J, Cardenas A, Sinha S, Glassman D, Nicolle R, Moffitt R, Yu KH, Leppanen S, Laderman S, Curry B, Gui J, Balachandran VP, Iacobuzio-Donahue C, Chandwani R, Leslie CS, Leach SD. Pancreatic cancer prognosis is predicted by an ATAC-array technology for assessing chromatin accessibility. Nat Commun 2021; 12:3044. [PMID: 34031415 PMCID: PMC8144607 DOI: 10.1038/s41467-021-23237-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 04/09/2021] [Indexed: 12/12/2022] Open
Abstract
Unlike other malignancies, therapeutic options in pancreatic ductal adenocarcinoma (PDAC) are largely limited to cytotoxic chemotherapy without the benefit of molecular markers predicting response. Here we report tumor-cell-intrinsic chromatin accessibility patterns of treatment-naïve surgically resected PDAC tumors that were subsequently treated with (Gem)/Abraxane adjuvant chemotherapy. By ATAC-seq analyses of EpCAM+ PDAC malignant epithelial cells sorted from 54 freshly resected human tumors, we show here the discovery of a signature of 1092 chromatin loci displaying differential accessibility between patients with disease free survival (DFS) < 1 year and patients with DFS > 1 year. Analyzing transcription factor (TF) binding motifs within these loci, we identify two TFs (ZKSCAN1 and HNF1b) displaying differential nuclear localization between patients with short vs. long DFS. We further develop a chromatin accessibility microarray methodology termed "ATAC-array", an easy-to-use platform obviating the time and cost of next generation sequencing. Applying this methodology to the original ATAC-seq libraries as well as independent libraries generated from patient-derived organoids, we validate ATAC-array technology in both the original ATAC-seq cohort as well as in an independent validation cohort. We conclude that PDAC prognosis can be predicted by ATAC-array, which represents a low-cost, clinically feasible technology for assessing chromatin accessibility profiles.
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Affiliation(s)
- S Dhara
- Dartmouth Geisel School of Medicine and Norris Cotton Cancer Center, Hanover, NH, USA
| | - S Chhangawala
- Weill Cornell Graduate School of Medical Sciences, New York, NY, USA
- Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - H Chintalapudi
- Dartmouth Geisel School of Medicine and Norris Cotton Cancer Center, Hanover, NH, USA
| | - G Askan
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - V Aveson
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - A L Massa
- Dartmouth Geisel School of Medicine and Norris Cotton Cancer Center, Hanover, NH, USA
| | - L Zhang
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - D Torres
- Dartmouth Geisel School of Medicine and Norris Cotton Cancer Center, Hanover, NH, USA
| | - A P Makohon-Moore
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - N Lecomte
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - J P Melchor
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - J Bermeo
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - A Cardenas
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - S Sinha
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - D Glassman
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - R Nicolle
- Programme Cartes d'Identité des Tumeurs, Ligue Nationale Contre Le Cancer, Paris, France
| | - R Moffitt
- Stony Brook University, Stony Brook, NY, USA
| | - K H Yu
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - S Leppanen
- Agilent Technologies Inc., Santa Clara, CA, USA
| | - S Laderman
- Agilent Technologies Inc., Santa Clara, CA, USA
| | - B Curry
- Agilent Technologies Inc., Santa Clara, CA, USA
| | - J Gui
- Dartmouth Geisel School of Medicine and Norris Cotton Cancer Center, Hanover, NH, USA
| | - V P Balachandran
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - C Iacobuzio-Donahue
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - C S Leslie
- Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - S D Leach
- Dartmouth Geisel School of Medicine and Norris Cotton Cancer Center, Hanover, NH, USA.
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8
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Bai S, Lindberg J, Whalen G, Bathini V, Zou J, Yang MX. Utility of HNF-1B and a panel of lineage-specific biomarkers to optimize the diagnosis of pancreatic ductal adenocarcinoma. Am J Cancer Res 2021; 11:858-865. [PMID: 33791159 PMCID: PMC7994171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 10/20/2020] [Indexed: 06/12/2023] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) represents one of the most common cancers with dismal prognosis. Definitive diagnosis of PDAC remains challenging due to the lack of specific biomarkers. A transcription factor essential for pancreatic development named HNF-1B can be a potential biomarker for PDAC. However, HNF-1B was not entirely specific for PDAC and can be expressed in cancers of Müllerian tract, kidney, lung, bladder and prostate. To solve this issue, we investigated the expression of a panel of well-established lineage-specific biomarkers for non-pancreatic origins, including TTF1 and Napsin A for lung, RCC for kidney, ER and PR for breast, NKX3.1 for prostate, PAX8 for Müllerian tract, GATA3 for breast and bladder, and keratin CK7 and CK20 in 149 PDACs, using immunohistochemistry and tissue microarray. A two-tier scoring system for HNF-1B expression in tumor cells was used. Chi-square and Fisher's exact tests were performed using SAS software version 9.4 to test the association between HNF-1B expression and tumor morphology and differentiation. The results showed that PAX8 was focally positive in 6 cases (4.0%). GATA3 was focally positive in 5 cases (3.4%). Napsin A was all negative except for 1 case with focal weak staining. All other lineage-specific markers such as TTF1, RCC, ER, PR and NKX3.1 were completely negative in all PDACs. Consistent with our previous result, the majority of PDACs (88.6%) was positive for HNF-1B, including 78 cases (59.1%) with "strong" and 54 cases (40.9%) with "weak" staining pattern. There was no significant association between HNF-1B expression and cytoplasmic clearing morphology. Addition of keratins may further aid the diagnosis of PDAC since the majority of PDACs (84.6%) was CK7+/CK20-, only a minority of PDACs (11.4%) was CK7+/CK20+, 2.7% were CK-/CK20-, and 1.3% were CK7-/CK20+. In conclusion, HNF-1B can serve as a useful biomarker to aid the diagnosis of PDAC when combined with other lineage-specific biomarkers to exclude the other origins.
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Affiliation(s)
- Shi Bai
- Department of Pathology, University of Massachusetts Memorial Health CareWorcester, MA, USA
| | - James Lindberg
- Surgical Oncology, University of Massachusetts Memorial Health CareWorcester, MA, USA
| | - Giles Whalen
- Surgical Oncology, University of Massachusetts Memorial Health CareWorcester, MA, USA
| | - Venu Bathini
- Department of Medical Oncology, University of Massachusetts Memorial Health CareWorcester, MA, USA
| | - Jian Zou
- Department of Mathematical Sciences, Worcester Polytechnic InstituteWorcester, MA, USA
| | - Michelle X Yang
- Department of Pathology, University of Massachusetts Memorial Health CareWorcester, MA, USA
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9
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Chandra S, Srinivasan S, Batra J. Hepatocyte nuclear factor 1 beta: A perspective in cancer. Cancer Med 2021; 10:1791-1804. [PMID: 33580750 PMCID: PMC7940219 DOI: 10.1002/cam4.3676] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 11/27/2020] [Accepted: 11/30/2020] [Indexed: 12/17/2022] Open
Abstract
Hepatocyte nuclear factor 1 beta (HNF1 β/B) exists as a homeobox transcription factor having a vital role in the embryonic development of organs mainly liver, kidney and pancreas. Initially described as a gene causing maturity‐onset diabetes of the young (MODY), HNF1β expression deregulation and single nucleotide polymorphisms in HNF1β have now been associated with several tumours including endometrial, prostate, ovarian, hepatocellular, renal and colorectal cancers. Its function has been studied either as homodimer or heterodimer with HNF1α. In this review, the role of HNF1B in different cancers will be discussed along with the role of its splice variants, and its emerging role as a potential biomarker in cancer.
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Affiliation(s)
- Shubhra Chandra
- Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Australian Prostate Cancer Research Centre-Queensland, Queensland University of Technology, Brisbane, QLD, Australia.,Translational Research Institute, Woolloongabba, QLD, Australia
| | - Srilakshmi Srinivasan
- Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Australian Prostate Cancer Research Centre-Queensland, Queensland University of Technology, Brisbane, QLD, Australia.,Translational Research Institute, Woolloongabba, QLD, Australia
| | - Jyotsna Batra
- Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Australian Prostate Cancer Research Centre-Queensland, Queensland University of Technology, Brisbane, QLD, Australia.,Translational Research Institute, Woolloongabba, QLD, Australia
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10
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Kuwabara-Ohmura Y, Iizuka K, Liu Y, Takao K, Nonomura K, Kato T, Mizuno M, Hosomichi K, Tajima A, Miyazaki T, Horikawa Y, Yabe D. A case of MODY5-like manifestations without mutations or deletions in coding and minimal promoter regions of the HNF1B gene. Endocr J 2020; 67:981-988. [PMID: 32461507 DOI: 10.1507/endocrj.ej20-0038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Pancreatic tail hypoplasia is a common manifestation of maturity onset diabetes of the young (MODY) 5 that can cause reno-genito-urinary malformations such as renal cysts and bicornuate uterus. A 69-year-old female was admitted to our hospital for consultation on her relatively high HbA1c value. At age 20, she was diagnosed with uterus bicornis. At age 68, she was diagnosed with pancreas tail hypoplasia, renal cysts and non-functioning pancreatic neuroendocrine tumor (NET) in addition to right hydronephrosis due to multiple ureteral bladder carcinomas. She received total right nephrectomy, ureterectomy and partial cystectomy for multiple ureteral bladder carcinomas [non-invasive papillary urothelial carcinoma, low grade (G1), pTa, LV10, u-rtx, RM0, and pN0 (0/8)]. She also received distal pancreatomy for pancreatic NET [NET G1]. She then was referred to our department at age 69 due to increase in her HbA1c value from 6.2 to 7.2%; 75 g oral glucose tolerance test revealed impaired glucose tolerance. Her clinical characteristics (uterus bicornis, pancreas hypoplasia, and renal cysts) closely resembled the phenotype of MODY5, in which mutations in the HNF1B gene have been reported. Our genetic testing failed to detect any mutation or microdeletion in the coding or minimal promoter regions of the HNF1B gene. Although there remains a possibility that genetic mutations in introns and regulatory regions of the HNF1B gene might cause the MODY5-like manifestations in this patient, these results might suggest involvement of genes other than HNF1B in the pathogenesis of our patient's disease.
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Affiliation(s)
- Yayoi Kuwabara-Ohmura
- Department of Diabetes and Endocrinology, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Katsumi Iizuka
- Department of Diabetes and Endocrinology, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Yanyan Liu
- Department of Diabetes and Endocrinology, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Ken Takao
- Department of Diabetes and Endocrinology, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Kenta Nonomura
- Department of Diabetes and Endocrinology, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Takehiro Kato
- Department of Diabetes and Endocrinology, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Masami Mizuno
- Department of Diabetes and Endocrinology, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Kazuyoshi Hosomichi
- Department of Bioinformatics and Genomics, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, Kanazawa 920-8640, Japan
| | - Atsushi Tajima
- Department of Bioinformatics and Genomics, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, Kanazawa 920-8640, Japan
| | | | - Yukio Horikawa
- Department of Diabetes and Endocrinology, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Daisuke Yabe
- Department of Diabetes and Endocrinology, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
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