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Ghannam SF, Rutland CS, Allegrucci C, Mather ML, Alsaleem M, Bateman-Price TD, Patke R, Ball G, Mongan NP, Rakha E. Geometric characteristics of stromal collagen fibres in breast cancer using differential interference contrast microscopy. J Microsc 2024. [PMID: 39359124 DOI: 10.1111/jmi.13361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 09/17/2024] [Accepted: 09/18/2024] [Indexed: 10/04/2024]
Abstract
Breast cancer (BC) is characterised by a high level of heterogeneity, which is influenced by the interaction of neoplastic cells with the tumour microenvironment. The diagnostic and prognostic role of the tumour stroma in BC remains to be defined. Differential interference contrast (DIC) microscopy is a label-free imaging technique well suited to visualise weak optical phase objects such as cells and tissue. This study aims to compare stromal collagen fibre characteristics between in situ and invasive breast tumours using DIC microscopy and investigate the prognostic value of collagen parameters in BC. A tissue microarray was generated from 200 cases, comprising ductal carcinoma in situ (DCIS; n = 100) and invasive tumours (n = 100) with an extra 50 (25 invasive BC and 25 DCIS) cases for validation was utilised. Two sections per case were used: one stained with haematoxylin and eosin (H&E) stain for histological review and one unstained for examination using DIC microscopy. Collagen fibre parameters including orientation angle, fibre alignment, fibre density, fibre width, fibre length and fibre straightness were measured. Collagen fibre density was higher in the stroma of invasive BC (161.68 ± 11.2 fibre/µm2) compared to DCIS (p < 0.0001). The collagen fibres were thinner (13.78 ± 1.08 µm), straighter (0.96 ± 0.006, on a scale of 0-1), more disorganised (95.07° ± 11.39°) and less aligned (0.20 ± 0.09, on a 0-1 scale) in the invasive BC compared to DCIS (all p < 0.0001). A model considering these features was developed that could distinguish between DCIS and invasive tumours with 94% accuracy. There were strong correlations between fibre characteristics and clinicopathological parameters in both groups. A statistically significant association between fibre characteristics and patients' outcomes (breast cancer specific survival, and recurrence free survival) was observed in the invasive group but not in DCIS. Although invasive BC and DCIS were both associated with stromal reaction, the structural features of collagen fibres were significantly different in the two disease stages. Analysis of the stroma fibre characteristics in the preoperative core biopsy specimen may help to differentiate pure DCIS from those associated with invasion.
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Affiliation(s)
- Suzan F Ghannam
- Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
- Faculty of Medicine, Department of Histology and Cell Biology, Suez Canal University, Ismailia, Egypt
- Nottingham Breast Cancer Research Centre, Biodiscovery Institute, University of Nottingham, Nottingham, UK
| | - Catrin Sian Rutland
- Nottingham Breast Cancer Research Centre, Biodiscovery Institute, University of Nottingham, Nottingham, UK
- School of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK
| | - Cinzia Allegrucci
- Nottingham Breast Cancer Research Centre, Biodiscovery Institute, University of Nottingham, Nottingham, UK
- School of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK
| | - Melissa L Mather
- Optics and Photonics Research Group, Faculty of Engineering, University of Nottingham, Nottingham, UK
| | - Mansour Alsaleem
- Department of Applied Medical Science, Applied College, Qassim University, Qassim, Saudi Arabia
| | - Thomas D Bateman-Price
- Optics and Photonics Research Group, Faculty of Engineering, University of Nottingham, Nottingham, UK
| | - Rodhan Patke
- School of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK
- Biodiscovery Institute, University of Nottingham, University Park, Nottingham, UK
| | - Graham Ball
- Medical Technology Research Centre, Anglia Ruskin University, Chelmsford, UK
| | - Nigel P Mongan
- School of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK
- Department of Pharmacology, Weill Cornell Medicine, New York, New York, USA
| | - Emad Rakha
- Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
- Nottingham Breast Cancer Research Centre, Biodiscovery Institute, University of Nottingham, Nottingham, UK
- Cellular Pathology Department, Nottingham University Hospitals NHS Trust, Nottingham, UK
- Pathology Department, Hamad Medical Corporation, Doha, Qatar
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Harvey M, Lane B, Cisek R, Veres SP, Kreplak L, Tokarz D. Histological staining alters circular dichroism SHG measurements of collagen. OPTICS LETTERS 2024; 49:3705-3708. [PMID: 38950247 DOI: 10.1364/ol.523689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 05/28/2024] [Indexed: 07/03/2024]
Abstract
Circular dichroism second harmonic generation microscopy (CDSHG) is a powerful imaging technique, which allows three-dimensional visualization of collagen fibril orientation in tissues. However, recent publications have obtained contradictory results on whether CDSHG can be used to reveal the relative out-of-plane polarity of collagen fibrils. Here we compare CDSHG images of unstained tendon and tendon which has been stained with hematoxylin and eosin. We find significant differences in the CDSHG between these two conditions, which explain the recent contradictory results within the literature.
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Garcia APV, Taborda DYO, Reis LA, de Paula AM, Cassali GD. Collagen modifications predictive of lymph node metastasis in dogs with carcinoma in mixed tumours. Front Vet Sci 2024; 11:1362693. [PMID: 38511192 PMCID: PMC10951072 DOI: 10.3389/fvets.2024.1362693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 02/14/2024] [Indexed: 03/22/2024] Open
Abstract
Introduction Mixed tumours in the canine mammary gland are the most common histological type in routine diagnosis. In general, these neoplasms have a favourable prognosis that does not evolve into metastatic disease. However, some cases develop into lymph node metastases and are associated with worse patient survival rates. Methods Here is a retrospective study of 46 samples of primary mixed tumours of the canine mammary gland: 15 cases of benign mixed tumours (BMT), 16 cases of carcinoma in mixed tumours without lymph node metastasis (CMT), and 15 cases of carcinomas in mixed tumours with lymph node metastasis (CMTM). In addition, we selected 23 cases of normal mammary glands (NMT) for comparison. The samples were collected from biopsies performed during nodulectomy, simple mastectomy, regional mastectomy, or unilateral/bilateral radical mastectomy. We used multiphoton microscopy, second harmonic generation, and two-photon excited fluorescence, to evaluate the characteristics of collagen fibres and cellular components in biopsies stained with haematoxylin and eosin. We performed Ki67, ER, PR, and HER-2 immunostaining to define the immunophenotype and COX-2. We showed that carcinomas that evolved into metastatic disease (CMTM) present shorter and wavier collagen fibres as compared to CMT. Results and discussion When compared to NMT and BMT the carcinomas present a smaller area of fibre coverage, a larger area of cellular coverage, and a larger number of individual fibres. Furthermore, we observed a correlation between the strong expression of COX-2 and a high rate of cell proliferation in carcinomas with a smaller area covered by cell fibres and a larger number of individual fibres. These findings highlight the fundamental role of collagen during tumour progression, especially in invasion and metastatic dissemination.
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Affiliation(s)
- Ana Paula Vargas Garcia
- Laboratory of Comparative Pathology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Daiana Yively Osorio Taborda
- Laboratory of Comparative Pathology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Luana Aparecida Reis
- Biophotonics Laboratory, Physics Department, Institute of Exact Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Ana Maria de Paula
- Biophotonics Laboratory, Physics Department, Institute of Exact Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Geovanni Dantas Cassali
- Laboratory of Comparative Pathology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
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Conceição ALC, Müller V, Burandt EC, Mohme M, Nielsen LC, Liebi M, Haas S. Unveiling breast cancer metastasis through an advanced X-ray imaging approach. Sci Rep 2024; 14:1448. [PMID: 38228854 PMCID: PMC10791658 DOI: 10.1038/s41598-024-51945-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 01/11/2024] [Indexed: 01/18/2024] Open
Abstract
Breast cancer is a significant global health burden, causing a substantial number of deaths. Systemic metastatic tumour cell dissemination is a major cause of poor outcomes. Understanding the mechanisms underlying metastasis is crucial for effective interventions. Changes in the extracellular matrix play a pivotal role in breast cancer metastasis. In this work, we present an advanced multimodal X-ray computed tomography, by combining Small-angle X-ray Scattering Tensor Tomography (SAXS-TT) and X-ray Fluorescence Computed Tomography (XRF-CT). This approach likely brings out valuable information about the breast cancer metastasis cascade. Initial results from its application on a breast cancer specimen reveal the collective influence of key molecules in the metastatic mechanism, identifying a strong correlation between zinc accumulation (associated with matrix metalloproteinases MMPs) and highly oriented collagen. MMPs trigger collagen alignment, facilitating breast cancer cell intravasation, while iron accumulation, linked to angiogenesis and vascular endothelial growth factor VEGF, supports cell proliferation and metastasis. Therefore, these findings highlight the potential of the advanced multimodal X-ray computed tomography approach and pave the way for in-depth investigation of breast cancer metastasis, which may guide the development of novel therapeutic approaches and enable personalised treatment strategies, ultimately improving patient outcomes in breast cancer management.
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Affiliation(s)
- Andre L C Conceição
- Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607, Hamburg, Germany.
| | - Volkmar Müller
- Department of Gynecology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Eike-Christian Burandt
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Malte Mohme
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Leonard C Nielsen
- Department of Physics, Chalmers University of Technology, 41296, Gothenburg, Sweden
| | - Marianne Liebi
- Department of Physics, Chalmers University of Technology, 41296, Gothenburg, Sweden
- Photon Science Division, Paul Scherrer Institute, 5232, Villigen PSI, Switzerland
- Institute of Materials, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland
| | - Sylvio Haas
- Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607, Hamburg, Germany
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Ferreira CJDS, Caires IQDS, da Costa WJB, de Almeida SMV. Collagen content and C-X-C motif chemokine ligand 12 expression in neoplastic breast stroma. REVISTA DA ASSOCIACAO MEDICA BRASILEIRA (1992) 2023; 69:e20221210. [PMID: 37729354 PMCID: PMC10508945 DOI: 10.1590/1806-9282.20221210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 06/08/2023] [Indexed: 09/22/2023]
Abstract
OBJECTIVE This study aimed to evaluate the expression of C-X-C motif chemokine ligand 12 and its C-X-C chemokine receptor type 4, and the tumor-stroma ratio using collagen stromal content of breast cancer samples, correlating it with clinicopathological data. METHODS Through a retrospective cohort study, samples were obtained from female patients, over 18 years of age, with the disease in stages 1-4, who underwent mastectomy or lumpectomy. The biopsies were provided by the Oncology sector of the Hospital das Clínicas of Universidade Federal de Pernambuco, Recife city, in 2011-2014, including samples of invasive ductal carcinoma, ductal carcinoma in situ, or benign changes (fibroadenoma and hypertrophy), which were analyzed between 2020 and 2022 by immunohistochemistry for the expression of stromal cell characteristics. Collagen content was tested by Gomori staining and digital analysis of images. RESULTS Absence of stromal expression of C-X-C motif chemokine ligand 12 was associated with longer disease-free survival (disease-free survival=0.481), and expression of C-X-C chemokine receptor type 4 was associated with lower disease-free survival. An association was observed between clinicopathological variables and stromal expression of chemokines, that is, an association of stromal C-X-C motif chemokine ligand 12 with histological grade, angiolymphatic invasion, and an association between C-X-C chemokine receptor type 4 expression and histological grade. Analyses of digital pixels images of collagen and tumor cells showed a lower percentage of collagen in the invasive ductal carcinoma samples (39%), unlike samples without neoplasms (78%). CONCLUSION Low expression of C-X-C motif chemokine ligand 12 may be associated with a worse prognosis for breast cancer. Collagen staining analyzed using digital images represents an opportunity for clinical application and is indicative of the prognosis of the tumor microenvironment in breast carcinoma.
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Anderle N, Schäfer-Ruoff F, Staebler A, Kersten N, Koch A, Önder C, Keller AL, Liebscher S, Hartkopf A, Hahn M, Templin M, Brucker SY, Schenke-Layland K, Schmees C. Breast cancer patient-derived microtumors resemble tumor heterogeneity and enable protein-based stratification and functional validation of individualized drug treatment. J Exp Clin Cancer Res 2023; 42:210. [PMID: 37596623 PMCID: PMC10436441 DOI: 10.1186/s13046-023-02782-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 07/28/2023] [Indexed: 08/20/2023] Open
Abstract
Despite tremendous progress in deciphering breast cancer at the genomic level, the pronounced intra- and intertumoral heterogeneity remains a major obstacle to the advancement of novel and more effective treatment approaches. Frequent treatment failure and the development of treatment resistance highlight the need for patient-derived tumor models that reflect the individual tumors of breast cancer patients and allow a comprehensive analyses and parallel functional validation of individualized and therapeutically targetable vulnerabilities in protein signal transduction pathways. Here, we introduce the generation and application of breast cancer patient-derived 3D microtumors (BC-PDMs). Residual fresh tumor tissue specimens were collected from n = 102 patients diagnosed with breast cancer and subjected to BC-PDM isolation. BC-PDMs retained histopathological characteristics, and extracellular matrix (ECM) components together with key protein signaling pathway signatures of the corresponding primary tumor tissue. Accordingly, BC-PDMs reflect the inter- and intratumoral heterogeneity of breast cancer and its key signal transduction properties. DigiWest®-based protein expression profiling of identified treatment responder and non-responder BC-PDMs enabled the identification of potential resistance and sensitivity markers of individual drug treatments, including markers previously associated with treatment response and yet undescribed proteins. The combination of individualized drug testing with comprehensive protein profiling analyses of BC-PDMs may provide a valuable complement for personalized treatment stratification and response prediction for breast cancer.
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Affiliation(s)
- Nicole Anderle
- NMI Natural and Medical Sciences Institute at the University of Tuebingen, 72770, Reutlingen, Germany.
| | - Felix Schäfer-Ruoff
- NMI Natural and Medical Sciences Institute at the University of Tuebingen, 72770, Reutlingen, Germany
| | - Annette Staebler
- Institute of Pathology and Neuropathology, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany
| | - Nicolas Kersten
- Interfaculty Institute for Bioinformatics and Medical Informatics (IBMI), Eberhard Karls University Tuebingen, Tuebingen, 72076, Germany
- FZI Research Center for Information Technology, 76131, Karlsruhe, Germany
| | - André Koch
- Department of Women's Health, University Women's Hospital, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany
| | - Cansu Önder
- Department of Women's Health, University Women's Hospital, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany
| | - Anna-Lena Keller
- NMI Natural and Medical Sciences Institute at the University of Tuebingen, 72770, Reutlingen, Germany
| | - Simone Liebscher
- Institute of Biomedical Engineering, Department for Medical Technologies and Regenerative Medicine, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany
| | - Andreas Hartkopf
- Department of Women's Health, University Women's Hospital, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany
- Department of Gynecology and Obstetrics, University Hospital of Ulm, 89081, Ulm, Germany
| | - Markus Hahn
- Department of Women's Health, University Women's Hospital, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany
| | - Markus Templin
- NMI Natural and Medical Sciences Institute at the University of Tuebingen, 72770, Reutlingen, Germany
| | - Sara Y Brucker
- Department of Women's Health, University Women's Hospital, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany
| | - Katja Schenke-Layland
- NMI Natural and Medical Sciences Institute at the University of Tuebingen, 72770, Reutlingen, Germany
- Institute of Biomedical Engineering, Department for Medical Technologies and Regenerative Medicine, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany
- Cluster of Excellence iFIT (EXC2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany
| | - Christian Schmees
- NMI Natural and Medical Sciences Institute at the University of Tuebingen, 72770, Reutlingen, Germany.
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Gomes EFA, Paulino Junior E, de Lima MFR, Reis LA, Paranhos G, Mamede M, Longford FGJ, Frey JG, de Paula AM. Prostate cancer tissue classification by multiphoton imaging, automated image analysis and machine learning. JOURNAL OF BIOPHOTONICS 2023; 16:e202200382. [PMID: 36806587 DOI: 10.1002/jbio.202200382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 02/13/2023] [Accepted: 02/16/2023] [Indexed: 06/07/2023]
Abstract
Prostate carcinoma, a slow-growing and often indolent tumour, is the second most commonly diagnosed cancer among men worldwide. The prognosis is mainly based on the Gleason system through prostate biopsy analysis. However, new treatment and monitoring strategies depend on a more precise diagnosis. Here, we present results by multiphoton imaging for prostate tumour samples from 120 patients that allow to obtain quantitative parameters leading to specific tumour aggressiveness signatures. An automated image analysis was developed to recognise and quantify stromal fibre and neoplastic cell regions in each image. The set of metrics was able to distinguish between non-neoplastic tissue and carcinoma areas by linear discriminant analysis and random forest with accuracy of 89% ± 3%, but between Gleason groups of only 46% ± 6%. The reactive stroma analysis improved the accuracy to 65% ± 5%, clearly demonstrating that stromal parameters should be considered as additional criteria for a more accurate diagnosis.
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Affiliation(s)
- Egleidson F A Gomes
- Departamento de Física, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Eduardo Paulino Junior
- Departamento de Anatomia Patológica e Medicina Legal, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | | | - Luana A Reis
- Departamento de Física, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Giovanna Paranhos
- Departamento de Física, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Marcelo Mamede
- Departamento Anatomia e Imagem, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | | | | | - Ana Maria de Paula
- Departamento de Física, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
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He J, Kang D, Shen T, Zheng L, Zhan Z, Xi G, Ren W, Chen Z, Qiu L, Xu S, Li L, Chen J. Label-free detection of invasive micropapillary carcinoma of the breast using multiphoton microscopy. JOURNAL OF BIOPHOTONICS 2023; 16:e202200224. [PMID: 36251459 DOI: 10.1002/jbio.202200224] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 09/15/2022] [Accepted: 10/11/2022] [Indexed: 06/16/2023]
Abstract
Invasive micropapillary carcinoma of the breast (IMPC) is a rare form of breast cancer with unique histological features, and is associated with high axillary lymph node metastasis and poor clinical prognosis. Thus, IMPC should be diagnosed in time to improve the treatment and management of patients. In this study, multiphoton microscopy (MPM) is used to label-free visualize the morphological features of IMPC. Our results demonstrate that MPM images are well in agreement with hematoxylin and eosin staining and epithelial membrane antigen staining, indicating MPM is comparable to traditional histological analysis in identifying the tissue structure and cell morphology. Statistical analysis shows significant differences in the circumference and area of the glandular lumen and cancer nest between the different IMPC cell clusters with complete glandular lumen morphology, and also shows difference in collagen length, width, and orientation, indicating the invasive ability of different morphologies of IMPC may be different.
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Affiliation(s)
- Jiajia He
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Deyong Kang
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Tingfeng Shen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Liqin Zheng
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Zhenlin Zhan
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Gangqin Xi
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Wenjiao Ren
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Zhong Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Lida Qiu
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
- College of Physics and Electronic Information Engineering, Minjiang University, Fuzhou, China
| | - Shuoyu Xu
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Lianhuang Li
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Jianxin Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
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Melitto AS, Arias VEA, Shida JY, Gebrim LH, Silveira L. Diagnosing molecular subtypes of breast cancer by means of Raman spectroscopy. Lasers Surg Med Suppl 2022; 54:1143-1156. [PMID: 35789102 DOI: 10.1002/lsm.23580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 06/13/2022] [Accepted: 06/17/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVES Raman spectroscopy has been used to discriminate human breast cancer and its different tumor molecular subtypes (luminal A, luminal B, HER2, and triple-negative) from normal tissue in surgical specimens. MATERIALS AND METHODS Breast cancer and normal tissue samples from 31 patients were obtained by surgical resection and submitted for histopathology. Before anatomopathological processing, the samples had been submitted to Raman spectroscopy (830 nm, 25 mW excitation laser parameters). In total, 424 Raman spectra were obtained. Principal component analysis (PCA) was used in an exploratory analysis to unveil the compositional differences between the tumors and normal tissues. Discriminant models were developed to distinguish the different cancer subtypes by means of partial least squares (PLS) regression. RESULTS PCA vectors showed spectral features referred to the biochemical constitution of breast tissues, such as lipids, proteins, amino acids, and carotenoids, where lipids were decreased and proteins were increased in breast tumors. Despite the small spectral differences between the different subtypes of tumor and normal tissues, the discriminant model based on PLS was able to discriminate the spectra of the breast tumors from normal tissues with an accuracy of 97.3%, between luminal and nonluminal subtypes with an accuracy of 89.9%, between nontriple-negative and triple-negative with an accuracy of 94.7%, and each molecular subtype with an accuracy of 73.0%. CONCLUSION PCA could reveal the compositional difference between tumors and normal tissues, and PLS could discriminate the Raman spectra of breast tissues regarding the molecular subtypes of cancer, being a useful tool for cancer diagnosis.
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Affiliation(s)
| | - Victor E A Arias
- Biomedical Engineering Program, Universidade Anhembi Morumbi-UAM, São Paulo, SP, Brazil
| | - Jorge Y Shida
- Biomedical Engineering Program, Universidade Anhembi Morumbi-UAM, São Paulo, SP, Brazil
| | - Luiz H Gebrim
- Biomedical Engineering Program, Universidade Anhembi Morumbi-UAM, São Paulo, SP, Brazil
| | - Landulfo Silveira
- Mastology Department, CRSM-Hospital Pérola Byington, São Paulo, SP, Brazil.,Biomedical Engineering Institute, Center for Innovation, Technology and Education-CITÉ, São José dos Camp, SP, Brazil
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10
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Gómez-Cuadrado L, Bullock E, Mabruk Z, Zhao H, Souleimanova M, Noer PR, Turnbull AK, Oxvig C, Bertos N, Byron A, Dixon JM, Park M, Haider S, Natrajan R, Sims AH, Brunton VG. Characterisation of the Stromal Microenvironment in Lobular Breast Cancer. Cancers (Basel) 2022; 14:904. [PMID: 35205651 PMCID: PMC8870100 DOI: 10.3390/cancers14040904] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 01/25/2022] [Accepted: 02/06/2022] [Indexed: 11/16/2022] Open
Abstract
Invasive lobular carcinoma (ILC) is the second most common histological subtype of breast cancer, and it exhibits a number of clinico-pathological characteristics distinct from the more common invasive ductal carcinoma (IDC). We set out to identify alterations in the tumor microenvironment (TME) of ILC. We used laser-capture microdissection to separate tumor epithelium from stroma in 23 ER+ ILC primary tumors. Gene expression analysis identified 45 genes involved in regulation of the extracellular matrix (ECM) that were enriched in the non-immune stroma of ILC, but not in non-immune stroma from ER+ IDC or normal breast. Of these, 10 were expressed in cancer-associated fibroblasts (CAFs) and were increased in ILC compared to IDC in bulk gene expression datasets, with PAPPA and TIMP2 being associated with better survival in ILC but not IDC. PAPPA, a gene involved in IGF-1 signaling, was the most enriched in the stroma compared to the tumor epithelial compartment in ILC. Analysis of PAPPA- and IGF1-associated genes identified a paracrine signaling pathway, and active PAPP-A was shown to be secreted from primary CAFs. This is the first study to demonstrate molecular differences in the TME between ILC and IDC identifying differences in matrix organization and growth factor signaling pathways.
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Affiliation(s)
- Laura Gómez-Cuadrado
- Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XR, UK; (L.G.-C.); (E.B.); (Z.M.); (A.K.T.); (A.B.)
| | - Esme Bullock
- Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XR, UK; (L.G.-C.); (E.B.); (Z.M.); (A.K.T.); (A.B.)
| | - Zeanap Mabruk
- Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XR, UK; (L.G.-C.); (E.B.); (Z.M.); (A.K.T.); (A.B.)
| | - Hong Zhao
- Goodman Cancer Research Centre, McGill University, Montreal, QC H3A 1A3, Canada; (H.Z.); (M.S.); (M.P.)
| | - Margarita Souleimanova
- Goodman Cancer Research Centre, McGill University, Montreal, QC H3A 1A3, Canada; (H.Z.); (M.S.); (M.P.)
| | - Pernille Rimmer Noer
- Department of Molecular Biology and Genetics, University of Aarhus, DK-8000 Aarhus C, Denmark; (P.R.N.); (C.O.)
| | - Arran K. Turnbull
- Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XR, UK; (L.G.-C.); (E.B.); (Z.M.); (A.K.T.); (A.B.)
| | - Claus Oxvig
- Department of Molecular Biology and Genetics, University of Aarhus, DK-8000 Aarhus C, Denmark; (P.R.N.); (C.O.)
| | - Nicholas Bertos
- Research Institute of the McGill University Health Centre, Montreal, QC H4A 3J1, Canada;
| | - Adam Byron
- Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XR, UK; (L.G.-C.); (E.B.); (Z.M.); (A.K.T.); (A.B.)
| | - J. Michael Dixon
- Edinburgh Breast Unit, University of Edinburgh, Edinburgh EH4 2XU, UK;
| | - Morag Park
- Goodman Cancer Research Centre, McGill University, Montreal, QC H3A 1A3, Canada; (H.Z.); (M.S.); (M.P.)
| | - Syed Haider
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW3 6JB, UK; (S.H.); (R.N.)
| | - Rachael Natrajan
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW3 6JB, UK; (S.H.); (R.N.)
| | - Andrew H. Sims
- Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XR, UK; (L.G.-C.); (E.B.); (Z.M.); (A.K.T.); (A.B.)
| | - Valerie G. Brunton
- Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XR, UK; (L.G.-C.); (E.B.); (Z.M.); (A.K.T.); (A.B.)
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11
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CD44 Variant Exon 6 Isoform Expression as a Potential Predictor of Lymph Node Metastasis in Invasive Breast Carcinoma of No Special Type. Int J Breast Cancer 2021; 2021:1586367. [PMID: 34925920 PMCID: PMC8683235 DOI: 10.1155/2021/1586367] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 11/19/2021] [Accepted: 11/25/2021] [Indexed: 12/12/2022] Open
Abstract
Background Invasive breast carcinoma of no special type (IBC-NST) is the most widespread invasive carcinoma subtype causing primarily regional metastases of the lymphatic node (LNM). The capacity of CD44 variant exon 6 (CD44v6) expression as an LNM predictor biomarker in IBC-NST was explored. Methods We conducted a cross-sectional research with 48 paraffin blocks containing IBC-NST primary tumors that were divided into two groups by LNM. The assessment has been carried out in terms of age, tumor size, tumor grade, lymphovascular invasion (LVI), and CD44v6 expression. The expression of CD44v6 was analyzed on the grounds of immunohistochemical (IHC) staining, while other data were taken from archives. Statistical analysis is carried out by univariate, multivariate, and AUROC. Results CD44v6 exhibits a dominant expression in IBC-NST tumor cells. Univariate analysis revealed a significant association between CD44v6 and LNM status (p = 0.001). Multiple logistic regression results showed that CD44v6 expression and LVI were significantly associated with LNM with OR 10.7 (95% CI: 2.43 to 47.08) and 6.22 (95% CI: 1.4 to 27.88), respectively. CD44v6 expression was able to discriminate against LNM with AUROC 0.863 ± 0.053 (95% CI: 0.759 to 0.967) at the H-score cut-off 133.889 (75% sensitivity and 83.3% specificity). Conclusion CD44v6 expression and LVI are potential predictors of LNM in IBC-NST. The H-score cut-off of the CD44v6 expression can also be used as a threshold for classification in further investigation.
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12
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Jesser EA, Brady NJ, Huggins DN, Witschen PM, O'Connor CH, Schwertfeger KL. STAT5 is activated in macrophages by breast cancer cell-derived factors and regulates macrophage function in the tumor microenvironment. Breast Cancer Res 2021; 23:104. [PMID: 34743736 PMCID: PMC8573892 DOI: 10.1186/s13058-021-01481-0] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 10/25/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND In breast cancer, complex interactions between tumor cells and cells within the surrounding stroma, such as macrophages, are critical for tumor growth, progression, and therapeutic response. Recent studies have highlighted the complex nature and heterogeneous populations of macrophages associated with both tumor-promoting and tumor-inhibiting phenotypes. Defining the pathways that drive macrophage function is important for understanding their complex phenotypes within the tumor microenvironment. Signal transducer and activator of transcription (STAT) transcription factors, such as STAT5, are key regulators of immune cell function. The studies described here investigate the functional contributions of STAT5 to tumor-associated macrophage function in breast cancer. METHODS Initial studies were performed using a panel of human breast cancer and mouse mammary tumor cell lines to determine the ability of tumor cell-derived factors to induce STAT5 activation in macrophages. Further studies used these models to identify soluble factors that activate STAT5 in macrophages. To delineate STAT5-specific contributions to macrophage function, a conditional model of myeloid STAT5 deletion was used for in vitro, RNA-sequencing, and in vivo studies. The effects of STAT5 deletion in macrophages on tumor cell migration and metastasis were evaluated using in vitro co-culture migration assays and an in vivo tumor cell-macrophage co-injection model. RESULTS We demonstrate here that STAT5 is robustly activated in macrophages by tumor cell-derived factors and that GM-CSF is a key cytokine stimulating this pathway. The analysis of RNA-seq studies reveals that STAT5 promotes expression of immune stimulatory genes in macrophages and that loss of STAT5 in macrophages results in increased expression of tissue remodeling factors. Finally, we demonstrate that loss of STAT5 in macrophages promotes tumor cell migration in vitro and mammary tumor metastasis in vivo. CONCLUSIONS Breast cancer cells produce soluble factors, such as GM-CSF, that activate the STAT5 pathway in macrophages and drive expression of inflammatory factors. STAT5 deletion in myeloid cells enhances metastasis, suggesting that STAT5 activation in tumor-associated macrophages protects against tumor progression. Understanding mechanisms that drive macrophage function in the tumor microenvironment will ultimately lead to new approaches that suppress tumor-promoting functions while enhancing their anti-tumor functions.
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Affiliation(s)
- Emily A Jesser
- Microbiology, Immunology and Cancer Biology Graduate Program, University of Minnesota, Minneapolis, MN, USA
| | - Nicholas J Brady
- Microbiology, Immunology and Cancer Biology Graduate Program, University of Minnesota, Minneapolis, MN, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Danielle N Huggins
- Department of Laboratory Medicine and Pathology, 6Th St SE, University of Minnesota, Minneapolis, MN, USA
| | - Patrice M Witschen
- Comparative and Molecular Biosciences Graduate Program, University of Minnesota, Minneapolis, USA
| | - Christine H O'Connor
- Department of Laboratory Medicine and Pathology, 6Th St SE, University of Minnesota, Minneapolis, MN, USA
- University of Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN, USA
| | - Kathryn L Schwertfeger
- Department of Laboratory Medicine and Pathology, 6Th St SE, University of Minnesota, Minneapolis, MN, USA.
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.
- Center for Immunology, University of Minnesota, Minneapolis, USA.
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13
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Sflomos G, Schipper K, Koorman T, Fitzpatrick A, Oesterreich S, Lee AV, Jonkers J, Brunton VG, Christgen M, Isacke C, Derksen PWB, Brisken C. Atlas of Lobular Breast Cancer Models: Challenges and Strategic Directions. Cancers (Basel) 2021; 13:5396. [PMID: 34771558 PMCID: PMC8582475 DOI: 10.3390/cancers13215396] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 10/18/2021] [Accepted: 10/21/2021] [Indexed: 12/14/2022] Open
Abstract
Invasive lobular carcinoma (ILC) accounts for up to 15% of all breast cancer (BC) cases and responds well to endocrine treatment when estrogen receptor α-positive (ER+) yet differs in many biological aspects from other ER+ BC subtypes. Up to 30% of patients with ILC will develop late-onset metastatic disease up to ten years after initial tumor diagnosis and may experience failure of systemic therapy. Unfortunately, preclinical models to study ILC progression and predict the efficacy of novel therapeutics are scarce. Here, we review the current advances in ILC modeling, including cell lines and organotypic models, genetically engineered mouse models, and patient-derived xenografts. We also underscore four critical challenges that can be addressed using ILC models: drug resistance, lobular tumor microenvironment, tumor dormancy, and metastasis. Finally, we highlight the advantages of shared experimental ILC resources and provide essential considerations from the perspective of the European Lobular Breast Cancer Consortium (ELBCC), which is devoted to better understanding and translating the molecular cues that underpin ILC to clinical diagnosis and intervention. This review will guide investigators who are considering the implementation of ILC models in their research programs.
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Affiliation(s)
- George Sflomos
- ISREC—Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Koen Schipper
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW3 6JB, UK; (K.S.); (A.F.); (C.I.)
| | - Thijs Koorman
- Department of Pathology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands; (T.K.); (P.W.B.D.)
| | - Amanda Fitzpatrick
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW3 6JB, UK; (K.S.); (A.F.); (C.I.)
| | - Steffi Oesterreich
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA 15261, USA; (S.O.); (A.V.L.)
- Magee Women’s Cancer Research Institute, Pittsburgh, PA 15213, USA
- Cancer Biology Program, Women’s Cancer Research Center, UPMC Hillman Cancer Center, Pittsburgh, PA 15232, USA
| | - Adrian V. Lee
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA 15261, USA; (S.O.); (A.V.L.)
- Magee Women’s Cancer Research Institute, Pittsburgh, PA 15213, USA
- Cancer Biology Program, Women’s Cancer Research Center, UPMC Hillman Cancer Center, Pittsburgh, PA 15232, USA
| | - Jos Jonkers
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands;
- Oncode Institute, 1066 CX Amsterdam, The Netherlands
| | - Valerie G. Brunton
- Edinburgh Cancer Research UK Centre, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XU, UK;
| | - Matthias Christgen
- Institute of Pathology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany;
| | - Clare Isacke
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW3 6JB, UK; (K.S.); (A.F.); (C.I.)
| | - Patrick W. B. Derksen
- Department of Pathology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands; (T.K.); (P.W.B.D.)
| | - Cathrin Brisken
- ISREC—Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW3 6JB, UK; (K.S.); (A.F.); (C.I.)
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14
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André S, Pinto AE, Silva GL, Silva F, Serpa J, Félix A. Male Breast Cancer-Immunohistochemical Patterns and Clinical Relevance of FASN, ATF3, and Collagen IV. BREAST CANCER-BASIC AND CLINICAL RESEARCH 2021; 15:11782234211002496. [PMID: 33888988 PMCID: PMC8040573 DOI: 10.1177/11782234211002496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 02/24/2021] [Indexed: 11/16/2022]
Abstract
Background Male breast carcinoma (male BC) is an uncommon neoplasia without individualized strategies for diagnosis and therapeutics. Low overall survival (OS) rates have been reported, mostly associated with patients' advanced stage and older age. Intratumoral heterogeneity versus homogeneity of malignant epithelial cells seems to be an important factor to consider for the development of combination therapies with curative intention. Objective In this preliminary study, we aim to provide valuable insight into the distinct clinicopathologic features of male BC. Material and methods In a series of 40 male BC patients, we evaluated by immunohistochemistry androgen receptor; activating transcription factor 3 (ATF3); p16; cyclin D1; fatty acid synthase (FASN); fatty acid transport protein 1 (FATP1); β1, β3, β4, and β6 integrins; collagen I and collagen IV; and their interactions. Kaplan-Meier survival curves and log-rank tests were assessed for statistical analysis. Results Homogeneous epithelial staining of p16, ATF3, β6 integrin, FASN, and FATP1 was found to be significantly intercorrelated, and associated with high Ki67. These markers also stained tumor stromal fibroblasts. The prognostic analysis showed statistically significant associations of FASN with disease-free survival (DFS) and OS, as well as of ATF3 with OS and collagen IV with DFS. Conclusions This study highlights, as a novel finding, the relevance of FASN, ATF3, and collagen IV immunophenotypes, which may have innovative application in the clinical management of male BC.
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Affiliation(s)
- Saudade André
- Department of Pathology, Portuguese Institute of Oncology of Lisbon, Lisbon, Portugal
| | - António E Pinto
- Department of Pathology, Portuguese Institute of Oncology of Lisbon, Lisbon, Portugal
| | - Giovani L Silva
- Department of Mathematics of Higher Technical Institute (Instituto Superior Técnico), Faculty of Sciences (Faculdade de Ciências), University of Lisbon, Lisbon, Portugal.,Statistics and Applications Center of University of Lisbon (CEAUL), Lisbon, Portugal
| | - Fernanda Silva
- CEDOC, NOVA Medical School, NOVA University, Lisbon, Portugal
| | - Jacinta Serpa
- CEDOC, NOVA Medical School, NOVA University, Lisbon, Portugal
| | - Ana Félix
- Department of Pathology, Portuguese Institute of Oncology of Lisbon, Lisbon, Portugal.,CEDOC, NOVA Medical School, NOVA University, Lisbon, Portugal
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15
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de Andrade Natal R, Adur J, Cesar CL, Vassallo J. Tumor extracellular matrix: lessons from the second-harmonic generation microscopy. SURGICAL AND EXPERIMENTAL PATHOLOGY 2021. [DOI: 10.1186/s42047-021-00089-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
AbstractExtracellular matrix (ECM) represents more than a mere intercellular cement. It is physiologically active in cell communication, adhesion and proliferation. Collagen is the most abundant protein, making up to 90% of ECM, and 30% of total protein weight in humans. Second-harmonic generation (SHG) microscopy represents an important tool to study collagen organization of ECM in freshly unfixed tissues and paraffin-embedded tissue samples. This manuscript aims to review some of the applications of SHG microscopy in Oncologic Pathology, mainly in the study of ECM of epithelial tumors. It is shown how collagen parameters measured by this technique can aid in the differential diagnosis and in prognostic stratification. There is a tendency to associate higher amount, lower organization and higher linearity of collagen fibers with tumor progression and metastasizing. These represent complex processes, in which matrix remodeling plays a central role, together with cancer cell genetic modifications. Integration of studies on cancer cell biology and ECM are highly advantageous to give us a more complete picture of these processes. As microscopic techniques provide topographic information allied with biologic characteristics of tissue components, they represent important tools for a more complete understanding of cancer progression. In this context, SHG has provided significant insights in human tumor specimens, readily available for Pathologists.
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16
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Garcia APV, Reis LA, Nunes FC, Longford FGJ, Frey JG, de Paula AM, Cassali GD. Canine mammary cancer tumour behaviour and patient survival time are associated with collagen fibre characteristics. Sci Rep 2021; 11:5668. [PMID: 33707516 PMCID: PMC7952730 DOI: 10.1038/s41598-021-85104-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 02/19/2021] [Indexed: 01/31/2023] Open
Abstract
Precise diagnosis and prognosis are key in prevention and reduction of morbidity and mortality in all types of cancers. Here we show that changes in the collagen fibres in the main histological subtypes of canine mammary gland carcinomas are directly associated with the tumour behaviour and the animal survival time and could become a useful tool in helping with diagnosis. Imaging by second harmonic generation and multiphoton excited fluorescence microscopy were performed to evaluate the collagen and cellular segment parameters in cancer biopsies. We present a retrospective study of 45 cases of canine mammary cancer analysing 836 biopsies regions including normal mammary gland tissue, benign mixed tumours, carcinoma in mixed tumour, carcinosarcoma, micropapillary carcinoma and solid carcinoma. The image analyses and the comparison between the tumour types allowed to assess the collagen fibre changes during tumour progression. We demonstrate that the collagen parameters correlate with the clinical and pathological data, the results show that in neoplastic tissues, the collagen fibres are more aligned and shorter as compared to the normal tissues. There is a clear association of the mean fibre length with the dogs survival times, the carcinomas presenting shorter collagen fibres indicate a worse survival rate.
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Affiliation(s)
- Ana P. V. Garcia
- grid.8430.f0000 0001 2181 4888Laboratório de Patologia Comparada, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901 Brazil
| | - Luana A. Reis
- grid.8430.f0000 0001 2181 4888Departamento de Física, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901 Brazil
| | - Fernanda C. Nunes
- grid.8430.f0000 0001 2181 4888Laboratório de Patologia Comparada, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901 Brazil
| | | | - Jeremy G. Frey
- grid.5491.90000 0004 1936 9297University of Southampton, Southampton, SO17 1BJ UK
| | - Ana M. de Paula
- grid.8430.f0000 0001 2181 4888Departamento de Física, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901 Brazil
| | - Geovanni D. Cassali
- grid.8430.f0000 0001 2181 4888Laboratório de Patologia Comparada, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901 Brazil
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17
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Sflomos G, Battista L, Aouad P, De Martino F, Scabia V, Stravodimou A, Ayyanan A, Ifticene‐Treboux A, Bucher P, Fiche M, Ambrosini G, Brisken C. Intraductal xenografts show lobular carcinoma cells rely on their own extracellular matrix and LOXL1. EMBO Mol Med 2021; 13:e13180. [PMID: 33616307 PMCID: PMC7933935 DOI: 10.15252/emmm.202013180] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Revised: 12/23/2020] [Accepted: 01/05/2021] [Indexed: 12/28/2022] Open
Abstract
Invasive lobular carcinoma (ILC) is the most frequent special histological subtype of breast cancer, typically characterized by loss of E-cadherin. It has clinical features distinct from other estrogen receptor-positive (ER+ ) breast cancers but the molecular mechanisms underlying its characteristic biology are poorly understood because we lack experimental models to study them. Here, we recapitulate the human disease, including its metastatic pattern, by grafting ILC-derived breast cancer cell lines, SUM-44 PE and MDA-MB-134-VI cells, into the mouse milk ducts. Using patient-derived intraductal xenografts from lobular and non-lobular ER+ HER2- tumors to compare global gene expression, we identify extracellular matrix modulation as a lobular carcinoma cell-intrinsic trait. Analysis of TCGA patient datasets shows matrisome signature is enriched in lobular carcinomas with overexpression of elastin, collagens, and the collagen modifying enzyme LOXL1. Treatment with the pan LOX inhibitor BAPN and silencing of LOXL1 expression decrease tumor growth, invasion, and metastasis by disrupting ECM structure resulting in decreased ER signaling. We conclude that LOXL1 inhibition is a promising therapeutic strategy for ILC.
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Affiliation(s)
- George Sflomos
- ISREC ‐ Swiss Institute for Experimental Cancer ResearchSchool of Life SciencesEcole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
| | - Laura Battista
- ISREC ‐ Swiss Institute for Experimental Cancer ResearchSchool of Life SciencesEcole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
| | - Patrick Aouad
- ISREC ‐ Swiss Institute for Experimental Cancer ResearchSchool of Life SciencesEcole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
| | - Fabio De Martino
- ISREC ‐ Swiss Institute for Experimental Cancer ResearchSchool of Life SciencesEcole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
| | - Valentina Scabia
- ISREC ‐ Swiss Institute for Experimental Cancer ResearchSchool of Life SciencesEcole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
| | | | - Ayyakkannu Ayyanan
- ISREC ‐ Swiss Institute for Experimental Cancer ResearchSchool of Life SciencesEcole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
| | | | - RLS
- Réseau Lausannois du Sein (RLS)LausanneSwitzerland
| | - Philipp Bucher
- ISREC ‐ Swiss Institute for Experimental Cancer ResearchSchool of Life SciencesEcole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
| | - Maryse Fiche
- Réseau Lausannois du Sein (RLS)LausanneSwitzerland
- International Cancer Prevention InstituteEpalingesSwitzerland
| | - Giovanna Ambrosini
- ISREC ‐ Swiss Institute for Experimental Cancer ResearchSchool of Life SciencesEcole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
| | - Cathrin Brisken
- ISREC ‐ Swiss Institute for Experimental Cancer ResearchSchool of Life SciencesEcole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
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18
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Kozma KJ, Done SJ, Egan SE. The tumor cell-derived matrix of lobular breast cancer: a new vulnerability. EMBO Mol Med 2021; 13:e13807. [PMID: 33616312 PMCID: PMC7933957 DOI: 10.15252/emmm.202013807] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 01/18/2021] [Indexed: 11/09/2022] Open
Abstract
Invasive lobular carcinoma (ILC) of the breast is a very common disease. Despite its prevalence, these tumors are relatively understudied. One reason for this is a relative lack of models for ILC. This challenge was addressed by Brisken and colleagues through development of an intraductal injection-based xenograft system for the study of ERα+ breast cancers, including both ILC and more common invasive ductal carcinoma (IDC; Sflomos et al, 2016). In this issue of EMBO Molecular Medicine, the same group have applied intraductal injection-based xenografts to identify novel tumor cell-specific transcriptional signatures in ILC (Sflomos et al, 2021). In doing so they found overexpression of lysyl oxidase-like 1 (LOXL1) to be both responsible for the frequently seen stiff collagen-rich extracellular matrix of lobular breast cancer and essential for their robust growth and metastatic dissemination in vivo, thereby identifying a novel therapeutic target.
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Affiliation(s)
- Katelyn J Kozma
- Program in Cell Biology, The Peter Gilgan Center for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Susan J Done
- Department of Laboratory Medicine and Pathobiology, Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,Laboratory Medicine Program, University Health Network, Toronto, ON, Canada
| | - Sean E Egan
- Program in Cell Biology, The Peter Gilgan Center for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
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19
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Balasundaram G, Krafft C, Zhang R, Dev K, Bi R, Moothanchery M, Popp J, Olivo M. Biophotonic technologies for assessment of breast tumor surgical margins-A review. JOURNAL OF BIOPHOTONICS 2021; 14:e202000280. [PMID: 32951321 DOI: 10.1002/jbio.202000280] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 09/15/2020] [Accepted: 09/18/2020] [Indexed: 06/11/2023]
Abstract
Breast conserving surgery (BCS) offering similar surgical outcomes as mastectomy while retaining breast cosmesis is becoming increasingly popular for the management of early stage breast cancers. However, its association with reoperation rates of 20% to 40% following incomplete tumor removal warrants the need for a fast and accurate intraoperative surgical margin assessment tool that offers cellular, structural and molecular information of the whole specimen surface to a clinically relevant depth. Biophotonic technologies are evolving to qualify as such an intraoperative tool for clinical assessment of breast cancer surgical margins at the microscopic and macroscopic scale. Herein, we review the current research in the application of biophotonic technologies such as photoacoustic imaging, Raman spectroscopy, multimodal multiphoton imaging, diffuse optical imaging and fluorescence imaging using medically approved dyes for breast cancer detection and/or tumor subtype differentiation toward intraoperative assessment of surgical margins in BCS specimens, and possible challenges in their route to clinical translation.
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Affiliation(s)
- Ghayathri Balasundaram
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | | | - Ruochong Zhang
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Kapil Dev
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Renzhe Bi
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Mohesh Moothanchery
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Jürgen Popp
- Leibniz Institute of Photonic Technology, Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, University Jena, Jena, Germany
| | - Malini Olivo
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
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20
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Reis LA, Garcia APV, Gomes EFA, Longford FGJ, Frey JG, Cassali GD, de Paula AM. Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images. BIOMEDICAL OPTICS EXPRESS 2020; 11:6413-6427. [PMID: 33282498 PMCID: PMC7687940 DOI: 10.1364/boe.400871] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 09/20/2020] [Accepted: 10/04/2020] [Indexed: 06/07/2023]
Abstract
We present nonlinear microscopy imaging results and analysis from canine mammary cancer biopsies. Second harmonic generation imaging allows information of the collagen structure in the extracellular matrix that together with the fluorescence of the cell regions of the biopsies form a base for comprehensive image analysis. We demonstrate an automated image analysis method to classify the histological type of canine mammary cancer using a range of parameters extracted from the images. The software developed for image processing and analysis allows for the extraction of the collagen fibre network and the cell regions of the images. Thus, the tissue properties are obtained after the segmentation of the image and the metrics are measured specifically for the collagen and the cell regions. A linear discriminant analysis including all the extracted metrics allowed to clearly separate between the healthy and cancerous tissue with a 91%-accuracy. Also, a 61%-accuracy was achieved for a comparison of healthy and three histological cancer subtypes studied.
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Affiliation(s)
- Luana A. Reis
- Departamento de Física, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte-MG, Brazil
| | - Ana P. V. Garcia
- Laboratório de Patologia Comparada, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte-MG, Brazil
| | - Egleidson F. A. Gomes
- Departamento de Física, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte-MG, Brazil
| | | | - Jeremy G. Frey
- University of Southampton, Southampton SO17 1BJ, United Kingdom
| | - Geovanni D. Cassali
- Laboratório de Patologia Comparada, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte-MG, Brazil
| | - Ana M. de Paula
- Departamento de Física, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte-MG, Brazil
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21
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Rosen S, Brisson BK, Durham AC, Munroe CM, McNeill CJ, Stefanovski D, Sørenmo KU, Volk SW. Intratumoral collagen signatures predict clinical outcomes in feline mammary carcinoma. PLoS One 2020; 15:e0236516. [PMID: 32776970 PMCID: PMC7416937 DOI: 10.1371/journal.pone.0236516] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 07/07/2020] [Indexed: 12/24/2022] Open
Abstract
Breast cancer is the most common cause of cancer-related deaths in women worldwide. Identification of reliable prognostic indicators and therapeutic targets is critical for improving patient outcome. Cancer in companion animals often strongly resembles human cancers and a comparative approach to identify prognostic markers can improve clinical care across species. Feline mammary tumors (FMT) serve as models for extremely aggressive triple negative breast cancer (TNBC) in humans, with high rates of local and distant recurrence after resection. Despite the aggressive clinical behavior of most FMT, current prognostic indicators are insufficient for accurately predicting outcome, similar to human patients. Given significant heterogeneity of mammary tumors, there has been a recent focus on identification of universal tumor-permissive stromal features that can predict biologic behavior and provide therapeutic targets to improve outcome. As in human and canine patients, collagen signatures appear to play a key role in directing mammary tumor behavior in feline patients. We find that patients bearing FMTs with denser collagen, as well as longer, thicker and straighter fibers and less identifiable tumor-stromal boundaries had poorer outcomes, independent of the clinical variables grade and surgical margins. Most importantly, including the collagen parameters increased the predictive power of the clinical model. Thus, our data suggest that similarities with respect to the stromal microenvironment between species may allow this model to predict outcome and develop novel therapeutic targets within the tumor stroma that would benefit both veterinary and human patients with aggressive mammary tumors.
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Affiliation(s)
- Suzanne Rosen
- Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Becky K. Brisson
- Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Amy C. Durham
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Clare M. Munroe
- Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Conor J. McNeill
- Hope Advanced Veterinary Center, Vienna, VA, United States of America
| | - Darko Stefanovski
- Department of Clinical Studies-New Bolton Center, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA, United States of America
| | - Karin U. Sørenmo
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Susan W. Volk
- Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
- * E-mail:
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22
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Ye T, Wan X, Li J, Feng J, Guo J, Li G, Liu J. The Clinical Significance of PPEF1 as a Promising Biomarker and Its Potential Mechanism in Breast Cancer. Onco Targets Ther 2020; 13:199-214. [PMID: 32021267 PMCID: PMC6955604 DOI: 10.2147/ott.s229432] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Accepted: 12/17/2019] [Indexed: 12/11/2022] Open
Abstract
Background Breast cancer (BC) is the leading cause of malignancy death in females worldwide. While intense efforts have been made to elucidate the pathogeny, the molecular mechanism of BC remains elusive. Thus, this study aimed to investigate the role of PPEF1 in the progression of BC and further explore the better clinical significance. Methods The diagnostic and prognostic values of elevated PPEF1 expression in BC were unveiled via public databases analysis. In addition, Gene Ontology (GO), Gene Set Enrichment Analysis (GSEA) and Protein–protein interaction (PPI) analysis were performed to explore the potential functions and molecular mechanisms of PPEF1 in BC progression. Experimentally, transwell and CCK-8 assays were carried out to estimate the effects of PPEF1 on the BC metastasis. Meanwhile, the differential expressions of PPEF1 in paraffin-embedded tissues and serum samples were, respectively, analyzed by Immunohistochemical (IHC) analysis and enzyme-linked immunosorbent assay (ELISA) kit. Results The transcriptional levels of PPEF1 were higher in BC than in normal breast tissues or adjacent normal tissues. Moreover, survival analysis revealed that higher PPEF1 expression was negatively associated with overall survival (OS), all events-free (AE-free) and metastatic recurrence-free (MR-free) survival, and further was an independent risk factor of unfavorable prognosis in BC patients. Additionally, the present study provided the first evidence that PPEF1 participated in multiple biological processes and underly signaling pathways involving in tumorigenesis and development of BC. Furthermore, PPEF1 promotes the BC progression and can be used as a noninvasive diagnostic marker. Noteworthy, the combined determination of serum PPEF1 and traditional tumor markers can enhance diagnostic accuracy thus is of vital importance in the early diagnosis of BC. Conclusion PPEF1 exerted a tumorigenic role and involved in molecular mechanism of tumorigenesis in BC which served as a promising biomarker for prognosis and diagnosis.
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Affiliation(s)
- Ting Ye
- Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Sichuan 646000, People's Republic of China
| | - Xue Wan
- Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Sichuan 646000, People's Republic of China
| | - Jingyuan Li
- Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Sichuan 646000, People's Republic of China
| | - Jia Feng
- Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Sichuan 646000, People's Republic of China
| | - Jinglan Guo
- Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Sichuan 646000, People's Republic of China
| | - Guangrong Li
- Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Sichuan 646000, People's Republic of China
| | - Jinbo Liu
- Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Sichuan 646000, People's Republic of China
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