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Khalid M, Khan MM, Jalily QA, Mummareddi DE, Sirangi S, Dande SNA. A hospital-based study of prostate biopsy results in Indian males. J Family Med Prim Care 2024; 13:984-989. [PMID: 38736835 PMCID: PMC11086797 DOI: 10.4103/jfmpc.jfmpc_1339_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 10/05/2023] [Accepted: 10/20/2023] [Indexed: 05/14/2024] Open
Abstract
Introduction The prostate is a gland belonging to the male reproductive system. Aging results in the dysfunction of the prostate that may present as inflammation, enlargement, and cancer. Additionally, the diseases of the prostate including cancers are slow in progression, and therefore, it is difficult to diagnose them early. Hence, it is increasingly important for physicians to recommend histopathological examination of the prostate gland to identify, manage, and treat prostate cancers. This study was conducted to assess prostate diseases among biopsy specimen collected from patients with signs of prostate diseases. Materials and Methods This prospective study was conducted in the Department of Pathology, Deccan College of Medical Sciences, Owaisi Hospital, Hyderabad, between June 2012 and September 2014. All gross specimens (n = 300) of the prostate such as the needle biopsies of the prostate, transurethral resection of the prostate (TURP) chips, and excised specimens of the prostate were included in the study. Histopathological examinations of the biopsies were performed for nuclear size, chromatin material, nucleoli, membrane thickness, irregularity, cytoplasmic granularity, staining, and cell border conspicuity. The biopsies were also assessed for lobule formation, secretions, polymorphonuclear leukocytes, lymphocytes, macrophages, connective tissue stromal cells, their arrangements, and acellular connective tissue material. Results Of 300 total prostatic biopsies performed, 56 (18.66%) were identified as inflammatory lesions of the prostate (prostatitis), 98 (32.66%) revealed benign prostatic lesions (benign prostatic hyperplasia (BPH)), 112 (37.33%) were identified as BPH with premalignant lesions, and 34 (11.33%) were revealed as malignant tumors of the prostate. Chronic prostatitis (67.85%) was the common inflammatory lesion. The majority (91.42%) revealed epithelial lesions compared to stromal lesions (08.58%). BPH was predominantly (28.00%) noticed among patients in the age group of 61-70 years. Prostatic intraepithelial neoplasia (PIN) was observed majorly (53.35%) in the age group of 61-70 years. Most of the prostatic cancers were identified as adenocarcinomas. However, three variants were also categorized as small cell carcinoma, signet ring cell carcinoma, and transitional cell carcinomas. Conclusions The results reveal that prostatic adenocarcinomas are predominant among the study population. Additionally, prostatic diseases including cancer are commonly noticed among people belonging to the age group of 61-70 years. More than one-third of patients showed BPH with premalignant lesions, and a majority of the study population showed evidence of chronic prostatitis.
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Affiliation(s)
- Mohd Khalid
- Department of Pathology, Apollo DRDO Hospital, Hyderabad, Telangana, India
| | - M. Mustafa Khan
- Department of Pathology, Deccan College of Medical Sciences, Hyderabad, Telangana, India
| | - Qader Ahmed Jalily
- Department of Microbiology, Mahavir Institute of Medical Sciences, Vikarabad, Telangana, India
| | | | - Saritha Sirangi
- Department of Microbiology, Mahavir Institute of Medical Sciences, Vikarabad, Telangana, India
| | - Sri N.S. Avinash Dande
- Department of Pathology, Mahavir Institute of Medical Sciences, Vikarabad, Telangana, India
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Guimarães CF, Liu S, Wang J, Purcell E, Ozedirne T, Ren T, Aslan M, Yin Q, Reis RL, Stoyanova T, Demirci U. Co-axial hydrogel spinning for facile biofabrication of prostate cancer-like 3D models. Biofabrication 2024; 16:025017. [PMID: 38306674 DOI: 10.1088/1758-5090/ad2535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 02/01/2024] [Indexed: 02/04/2024]
Abstract
Glandular cancers are amongst the most prevalent types of cancer, which can develop in many different organs, presenting challenges in their detection as well as high treatment variability and failure rates. For that purpose, anticancer drugs are commonly tested in cancer cell lines grown in 2D tissue culture on plastic dishesin vitro, or in animal modelsin vivo. However, 2D culture models diverge significantly from the 3D characteristics of living tissues and animal models require extensive animal use and time. Glandular cancers, such as prostate cancer-the second leading cause of male cancer death-typically exist in co-centrical architectures where a cell layer surrounds an acellular lumen. Herein, this spatial cellular position and 3D architecture, containing dual compartments with different hydrogel materials, is engineered using a simple co-axial nozzle setup, in a single step utilizing prostate as a model of glandular cancer. The resulting hydrogel soft structures support viable prostate cancer cells of different cell lines and enable over-time maturation into cancer-mimicking aggregates surrounding the acellular core. The biofabricated cancer mimicking structures are then used as a model to predict the inhibitory efficacy of the poly ADP ribose polymerase inhibitor, Talazoparib, and the antiandrogen drug, Enzalutamide, in the growth of the cancer cell layer. Our results show that the obtained hydrogel constructs can be adapted to quickly obtain 3D cancer models which combine 3D physiological architectures with high-throughput screening to detect and optimize anti-cancer drugs in prostate and potentially other glandular cancer types.
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Affiliation(s)
- Carlos F Guimarães
- 3B's Research Group-Biomaterials, Biodegradables and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, University of Minho, AvePark, Parque de Ciência e Tecnologia 4805-017 Barco, Guimarães, Portugal
- ICVS/3B's-PT Government Associate Laboratory, Braga and Guimarães, Portugal
- Canary Center at Stanford for Cancer Early Detection, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
- Bio-Acoustic MEMS (BAMM) in Medicine Lab, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
| | - Shiqin Liu
- Canary Center at Stanford for Cancer Early Detection, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
- Department of Radiology, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, United States of America
| | - Jie Wang
- Canary Center at Stanford for Cancer Early Detection, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
- Bio-Acoustic MEMS (BAMM) in Medicine Lab, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
- Department of Radiology, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
| | - Emma Purcell
- Canary Center at Stanford for Cancer Early Detection, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
- Bio-Acoustic MEMS (BAMM) in Medicine Lab, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
- Department of Radiology, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
| | - Tugba Ozedirne
- Canary Center at Stanford for Cancer Early Detection, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
- Bio-Acoustic MEMS (BAMM) in Medicine Lab, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
| | - Tanchen Ren
- Canary Center at Stanford for Cancer Early Detection, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
- Bio-Acoustic MEMS (BAMM) in Medicine Lab, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
| | - Merve Aslan
- Canary Center at Stanford for Cancer Early Detection, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
- Department of Radiology, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
| | - Qingqing Yin
- Canary Center at Stanford for Cancer Early Detection, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
- Department of Radiology, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
| | - Rui L Reis
- 3B's Research Group-Biomaterials, Biodegradables and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, University of Minho, AvePark, Parque de Ciência e Tecnologia 4805-017 Barco, Guimarães, Portugal
- ICVS/3B's-PT Government Associate Laboratory, Braga and Guimarães, Portugal
| | - Tanya Stoyanova
- Canary Center at Stanford for Cancer Early Detection, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
- Department of Radiology, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, United States of America
- Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, United States of America
| | - Utkan Demirci
- Canary Center at Stanford for Cancer Early Detection, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
- Bio-Acoustic MEMS (BAMM) in Medicine Lab, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
- Department of Radiology, Stanford School of Medicine, Palo Alto, CA 94304, United States of America
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Soltani S, Cheng B, Osunkoya AO, Robles FE. Deep UV Microscopy Identifies Prostatic Basal Cells: An Important Biomarker for Prostate Cancer Diagnostics. BME FRONTIERS 2022; 2022:9847962. [PMID: 37850167 PMCID: PMC10521648 DOI: 10.34133/2022/9847962] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 06/05/2022] [Indexed: 10/19/2023] Open
Abstract
Objective and Impact Statement. Identifying benign mimics of prostatic adenocarcinoma remains a significant diagnostic challenge. In this work, we developed an approach based on label-free, high-resolution molecular imaging with multispectral deep ultraviolet (UV) microscopy which identifies important prostate tissue components, including basal cells. This work has significant implications towards improving the pathologic assessment and diagnosis of prostate cancer. Introduction. One of the most important indicators of prostate cancer is the absence of basal cells in glands and ducts. However, identifying basal cells using hematoxylin and eosin (H&E) stains, which is the standard of care, can be difficult in a subset of cases. In such situations, pathologists often resort to immunohistochemical (IHC) stains for a definitive diagnosis. However, IHC is expensive and time-consuming and requires more tissue sections which may not be available. In addition, IHC is subject to false-negative or false-positive stains which can potentially lead to an incorrect diagnosis. Methods. We leverage the rich molecular information of label-free multispectral deep UV microscopy to uniquely identify basal cells, luminal cells, and inflammatory cells. The method applies an unsupervised geometrical representation of principal component analysis to separate the various components of prostate tissue leading to multiple image representations of the molecular information. Results. Our results show that this method accurately and efficiently identifies benign and malignant glands with high fidelity, free of any staining procedures, based on the presence or absence of basal cells. We further use the molecular information to directly generate a high-resolution virtual IHC stain that clearly identifies basal cells, even in cases where IHC stains fail. Conclusion. Our simple, low-cost, and label-free deep UV method has the potential to improve and facilitate prostate cancer diagnosis by enabling robust identification of basal cells and other important prostate tissue components.
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Affiliation(s)
- Soheil Soltani
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA
| | - Brian Cheng
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA
| | - Adeboye O. Osunkoya
- Departments of Pathology and Urology, Emory University School of Medicine, Atlanta, GA 30322, USA
- Winship Cancer Institute of Emory University, Atlanta, GA 30322, USA
| | - Francisco E. Robles
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA
- Departments of Pathology and Urology, Emory University School of Medicine, Atlanta, GA 30322, USA
- Winship Cancer Institute of Emory University, Atlanta, GA 30322, USA
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A Novel Three-Dimensional Imaging System Based on Polysaccharide Staining for Accurate Histopathological Diagnosis of Inflammatory Bowel Diseases. Cell Mol Gastroenterol Hepatol 2022; 14:905-924. [PMID: 35835392 PMCID: PMC9500441 DOI: 10.1016/j.jcmgh.2022.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 07/04/2022] [Accepted: 07/05/2022] [Indexed: 12/10/2022]
Abstract
BACKGROUND & AIMS Tissue-clearing and three-dimensional (3D) imaging techniques aid clinical histopathological evaluation; however, further methodological developments are required before use in clinical practice. METHODS We sought to develop a novel fluorescence staining method based on the classical periodic acid-Schiff stain. We further attempted to develop a 3D imaging system based on this staining method and evaluated whether the system can be used for quantitative 3D pathological evaluation and deep learning-based automatic diagnosis of inflammatory bowel diseases. RESULTS We successfully developed a novel periodic acid-FAM hydrazide (PAFhy) staining method for 3D imaging when combined with a tissue-clearing technique (PAFhy-3D). This strategy enabled clear and detailed imaging of the 3D architectures of crypts in human colorectal mucosa. PAFhy-3D imaging also revealed abnormal architectural changes in crypts in ulcerative colitis tissues and identified the distributions of neutrophils in cryptitis and crypt abscesses. PAFhy-3D revealed novel pathological findings including spiral staircase-like crypts specific to inflammatory bowel diseases. Quantitative analysis of crypts based on 3D morphologic changes enabled differential diagnosis of ulcerative colitis, Crohn's disease, and non-inflammatory bowel disease; such discrimination could not be achieved by pathologists. Furthermore, a deep learning-based system using PAFhy-3D images was used to distinguish these diseases The accuracies were excellent (macro-average area under the curve = 0.94; F1 scores = 0.875 for ulcerative colitis, 0.717 for Crohn's disease, and 0.819 for non-inflammatory bowel disease). CONCLUSIONS PAFhy staining and PAFhy-3D imaging are promising approaches for next-generation experimental and clinical histopathology.
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Haddad TS, Friedl P, Farahani N, Treanor D, Zlobec I, Nagtegaal I. Tutorial: methods for three-dimensional visualization of archival tissue material. Nat Protoc 2021; 16:4945-4962. [PMID: 34716449 DOI: 10.1038/s41596-021-00611-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 08/05/2021] [Indexed: 02/08/2023]
Abstract
Analysis of three-dimensional patient specimens is gaining increasing relevance for understanding the principles of tissue structure as well as the biology and mechanisms underlying disease. New technologies are improving our ability to visualize large volume of tissues with subcellular resolution. One resource often overlooked is archival tissue maintained for decades in hospitals and research archives around the world. Accessing the wealth of information stored within these samples requires the use of appropriate methods. This tutorial introduces the range of sample preparation and microscopy approaches available for three-dimensional visualization of archival tissue. We summarize key aspects of the relevant techniques and common issues encountered when using archival tissue, including registration and antibody penetration. We also discuss analysis pipelines required to process, visualize and analyze the data and criteria to guide decision-making. The methods outlined in this tutorial provide an important and sustainable avenue for validating three-dimensional tissue organization and mechanisms of disease.
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Affiliation(s)
- Tariq Sami Haddad
- Department of Pathology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands.
| | - Peter Friedl
- Department of Cell Biology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
- David H. Koch Center for Applied Research of Genitourinary Cancers, Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Cancer GenomiCs.nl (CGC.nl), http://cancergenomics.nl, Utrecht, the Netherlands
| | | | - Darren Treanor
- Leeds Teaching Hospitals NHS Trust, Leeds, UK
- University of Leeds, Leeds, UK
- Department of Clinical Pathology, and Department of Clinical and Experimental Medicine, Linkoping University, Linköping, Sweden
- Center for Medical Imaging Science and Visualization (CMIV), Linköping, Sweden
| | - Inti Zlobec
- Institute of Pathology, University of Bern, Bern, Switzerland
| | - Iris Nagtegaal
- Department of Pathology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
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Boamfa MI, Asselman MJA, Vulders RCM, Verhoef EI, van Royen ME, van der Zaag PJ. Combined transmission, dark field and fluorescence microscopy for intact, 3D tissue analysis of biopsies. JOURNAL OF BIOMEDICAL OPTICS 2020; 25:JBO-200131R. [PMID: 33215476 PMCID: PMC7676494 DOI: 10.1117/1.jbo.25.11.116503] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Accepted: 10/28/2020] [Indexed: 05/03/2023]
Abstract
SIGNIFICANCE Currently, tissue biopsies are sectioned into 3- to 5-μm-thick slices that are used for conventional pathology analysis. Previous work by confocal microscopy and light-sheet microscopy has shown that analyzing biopsies intact in three-dimensions (3D) is possible and may lead to a better understanding of cancer growth patterns. Although accurate, these methods require fluorescent staining of the tissue, in addition to tissue clearing. If the 3D biopsy analysis could be done sufficiently swiftly, this approach may be used for on-site assessment of the adequacy of a biopsy taken. AIM We aim to show that, by transmission microscopy of optically cleared tissue punches, the tissue architecture can be determined without the need for fluorescent staining. APPROACH Transmission microscopy is used by combining bright field microscopy with dark field and epifluorescent microscopy to compare samples that have also been analyzed by fluorescent confocal microscopy. RESULTS With increasing distance to the focal plane, the higher-frequency part of the spatial frequency spectrum of transmitted light is attenuated increasingly. This property is exploited for tissue segmentation, detecting whether tissue is present at a certain position in the focal plane image. Using this approach, we show that a 3D rendering of the internal cavity or tubules structure of punch biopsies, which are up to 1-mm thick, can be acquired in ≈1 min scan time per imaging modality. The images of the overall tissue architecture that are obtained are similar to those from the confocal microscopy benchmark, without requiring fluorescent staining. CONCLUSIONS Images of the overall tissue architecture can be obtained from transmission microcopy; they are similar to those from the confocal microscopy benchmark without requiring fluorescent staining. Tissue clearing is still needed. The total scan time of the present method is significantly shorter at a fraction of the device costs.
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Affiliation(s)
| | | | | | | | - Martin E. van Royen
- Erasmus MC, Department of Pathology, Rotterdam, The Netherlands
- Erasmus MC, Erasmus Optical Imaging Centre, Rotterdam, The Netherlands
| | - Pieter J. van der Zaag
- Philips Research Laboratories, Eindhoven, The Netherlands
- Address all correspondence to Pieter J. van der Zaag,
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Abstract
The histopathological diagnosis of prostatic adenocarcinoma is challenged by the existence of numerous benign mimics. Most of these lesions have no clinical significance and many do not need to be reported. Their clinical relevance lies in the risk that they are misinterpreted as cancer. This review presents the histopathological features of benign mimics and discusses their distinction from cancer. The lesions that are most often misdiagnosed as cancer are atrophy and its variants, including simple atrophy, partial atrophy and post-atrophic hyperplasia. Benign proliferations are a group of lesions with crowded small glands with no or little nuclear atypia. The most problematic entity of this group is adenosis, which may have a more alarming architecture than some cancers. A diagnostic problem with atrophy and several of the benign proliferations is that the glands often have a discontinuous or absent basal cell layer. Hyperplastic and metaplastic lesions include basal cell hyperplasia. Basal cell hyperplasia may especially mimic prostate cancer with its small dark glands, variable nuclear atypia and a pseudoinfiltrative pattern, which may be present. The anatomical structure that most often causes diagnostic problems is the seminal vesicle. The mucosa of the seminal vesicle contains small acini, often with very pronounced nuclear atypia that may be misinterpreted as cancer. Pathologists need to be familiar with these mimics, as a false positive diagnosis of prostate cancer may lead to unnecessary radical treatment.
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8
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3D image analysis reveals differences of CD30 positive cells and network formation in reactive and malignant human lymphoid tissue (classical Hodgkin Lymphoma). PLoS One 2019; 14:e0224156. [PMID: 31648255 PMCID: PMC6812863 DOI: 10.1371/journal.pone.0224156] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 10/07/2019] [Indexed: 02/06/2023] Open
Abstract
AIMS The examination of histological sections is still the gold standard in diagnostic pathology. Important histopathological diagnostic criteria are nuclear shapes and chromatin distribution as well as nucleus-cytoplasm relation and immunohistochemical properties of surface and intracellular proteins. The aim of this investigation was to evaluate the benefits and drawbacks of three-dimensional imaging of CD30+ cells in classical Hodgkin Lymphoma (cHL) in comparison to CD30+ lymphoid cells in reactive lymphoid tissues. MATERIALS AND RESULTS Using immunoflourescence confocal microscopy and computer-based analysis, we compared CD30+ neoplastic cells in Nodular Sclerosis cHL (NScCHL), Mixed Cellularity cHL (MCcHL), with reactive CD30+ cells in Adenoids (AD) and Lymphadenitis (LAD). We confirmed that the percentage of CD30+ cell volume can be calculated. The amount in lymphadenitis was approx. 1.5%, in adenoids around 2%, in MCcHL up to 4,5% whereas the values for NScHL rose to more than 8% of the total cell cytoplasm. In addition, CD30+ tumour cells (HRS-cells) in cHL had larger volumes, and more protrusions compared to CD30+ reactive cells. Furthermore, the formation of large cell networks turned out to be a typical characteristic of NScHL. CONCLUSION In contrast to 2D histology, 3D laser scanning offers a visualisation of complete cells, their network interaction and spatial distribution in the tissue. The possibility to differentiate cells in regards to volume, surface, shape, and cluster formation enables a new view on further diagnostic and biological questions. 3D includes an increased amount of information as a basis of bioinformatical calculations.
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Verhoef EI, van Cappellen WA, Slotman JA, Kremers GJ, Ewing-Graham PC, Houtsmuller AB, van Royen ME, van Leenders GJLH. Three-dimensional architecture of common benign and precancerous prostate epithelial lesions. Histopathology 2019; 74:1036-1044. [PMID: 30815904 PMCID: PMC6849837 DOI: 10.1111/his.13848] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 02/25/2019] [Indexed: 12/12/2022]
Abstract
Aims Many glandular lesions can mimic prostate cancer microscopically, including atrophic glands, adenosis and prostatic intraepithelial neoplasia. While the characteristic histopathological and immunohistochemical features of these lesions have been well established, little is known about their three‐dimensional architecture. Our objective was to evaluate the three‐dimensional organisation of common prostate epithelial lesions. Methods and results 500 μm‐thick punches (n = 42) were taken from radical prostatectomy specimens, and stained with antibodies targeting keratin 8–18 and keratin 5 for identification of luminal and basal cells, respectively. Tissue samples were optically cleared in benzyl alcohol:benzyl benzoate and imaged using a confocal laser scanning microscope. The three‐dimensional architecture of peripheral and transition zone glands was acinar, composed of interconnecting and blind‐ending saccular tubules. In simple atrophy, partial atrophy and post‐atrophic hyperplasia, the acinar structure was attenuated with branching blind‐ending tubules from parental tubular structures. Three‐dimensional imaging revealed a novel variant of prostate atrophy characterised by large Golgi‐like atrophic spaces parallel to the prostate surface, which were represented by thin, elongated tubular structures on haematoxylin and eosin (H&E) slides. Conversely, adenosis lacked acinar organisation, so that it closely mimicked low‐grade prostate cancer. High‐grade prostatic intraepithelial neoplasia displayed prominent papillary intraluminal protrusions but retained an acinar organisation, whereas intraductal carcinoma predominantly consisted of cribriform proliferations with either spheroid, ellipsoid or complex interconnecting lumens. Conclusions While various prostate epithelial lesions might mimic malignancy on H&E slides, their three‐dimensional architecture is acinar and clearly different from the tubular structure of prostate cancer, with adenosis as an exception.
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Affiliation(s)
- Esther I Verhoef
- Department of Pathology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Wiggert A van Cappellen
- Department of Pathology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Optical Imaging Center, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Johan A Slotman
- Department of Pathology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Optical Imaging Center, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Gert-Jan Kremers
- Department of Pathology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Optical Imaging Center, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Patricia C Ewing-Graham
- Department of Pathology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Adriaan B Houtsmuller
- Department of Pathology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Optical Imaging Center, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Martin E van Royen
- Department of Pathology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Optical Imaging Center, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Geert J L H van Leenders
- Department of Pathology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
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