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Kakkad S, Krishnamachary B, Fackche N, Garner M, Brock M, Huang P, Bhujwalla ZM. Collagen 1 Fiber Volume Predicts for Recurrence of Stage 1 Non-Small Cell Lung Cancer. Tomography 2024; 10:1099-1112. [PMID: 39058055 PMCID: PMC11281282 DOI: 10.3390/tomography10070083] [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: 04/16/2024] [Revised: 07/08/2024] [Accepted: 07/09/2024] [Indexed: 07/28/2024] Open
Abstract
Background: The standard of care for stage 1 NSCLC is upfront surgery followed by surveillance. However, 20-30% of stage 1 NSCLC recur. There is an unmet need to identify individuals likely to recur who would benefit from frequent monitoring and aggressive cancer treatments. Collagen 1 (Col1) fibers detected by second harmonic generation (SHG) microscopy are a major structural component of the extracellular matrix (ECM) of tumors that play a role in cancer progression. Method: We characterized Col1 fibers with SHG microscopy imaging of surgically resected stage 1 NSCLC. Gene expression from RNA sequencing data was used to validate the SHG microscopy findings. Results: We identified a significant (p ≤ 0.05) increase in the Col1 fiber volume in stage 1 NSCLC that recurred. The increase in Col1 fiber volume was supported by significant increases in the gene expression of Col1 in invasive, compared to noninvasive, lung adenocarcinoma. Significant differences were identified in the gene expression of other ECM proteins, as well as CAFs, immune checkpoint markers, immune cytokines, and T-cell markers. Conclusion: Col1 fiber analysis can provide a companion diagnostic test to evaluate the likelihood of tumor recurrence following stage 1 NSCLC. The studies expand our understanding of the role of the ECM in NSCLC recurrence.
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Affiliation(s)
- Samata Kakkad
- Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; (S.K.); (B.K.)
| | - Balaji Krishnamachary
- Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; (S.K.); (B.K.)
| | - Nadege Fackche
- Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; (N.F.); (M.G.); (M.B.)
| | - Matthew Garner
- Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; (N.F.); (M.G.); (M.B.)
| | - Malcom Brock
- Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; (N.F.); (M.G.); (M.B.)
| | - Peng Huang
- Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA;
| | - Zaver M. Bhujwalla
- Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; (S.K.); (B.K.)
- Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA;
- Department of Radiation Oncology and Molecular Radiation Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
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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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Ao J, Shao X, Liu Z, Liu Q, Xia J, Shi Y, Qi L, Pan J, Ji M. Stimulated Raman Scattering Microscopy Enables Gleason Scoring of Prostate Core Needle Biopsy by a Convolutional Neural Network. Cancer Res 2023; 83:641-651. [PMID: 36594873 PMCID: PMC9929517 DOI: 10.1158/0008-5472.can-22-2146] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 10/19/2022] [Accepted: 12/29/2022] [Indexed: 01/04/2023]
Abstract
Focal therapy (FT) has been proposed as an approach to eradicate clinically significant prostate cancer while preserving the normal surrounding tissues to minimize treatment-related toxicity. Rapid histology of core needle biopsies is essential to ensure the precise FT for localized lesions and to determine tumor grades. However, it is difficult to achieve both high accuracy and speed with currently available histopathology methods. Here, we demonstrated that stimulated Raman scattering (SRS) microscopy could reveal the largely heterogeneous histologic features of fresh prostatic biopsy tissues in a label-free and near real-time manner. A diagnostic convolutional neural network (CNN) built based on images from 61 patients could classify Gleason patterns of prostate cancer with an accuracy of 85.7%. An additional 22 independent cases introduced as external test dataset validated the CNN performance with 84.4% accuracy. Gleason scores of core needle biopsies from 21 cases were calculated using the deep learning SRS system and showed a 71% diagnostic consistency with grading from three pathologists. This study demonstrates the potential of a deep learning-assisted SRS platform in evaluating the tumor grade of prostate cancer, which could help simplify the diagnostic workflow and provide timely histopathology compatible with FT treatment. SIGNIFICANCE A platform combining stimulated Raman scattering microscopy and a convolutional neural network provides rapid histopathology and automated Gleason scoring on fresh prostate core needle biopsies without complex tissue processing.
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Affiliation(s)
- Jianpeng Ao
- State Key Laboratory of Surface Physics and Department of Physics, Human Phenome Institute, Academy for Engineering and Technology, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Yiwu Research Institute of Fudan University, Fudan University, Shanghai, P.R. China
| | - Xiaoguang Shao
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Zhijie Liu
- State Key Laboratory of Surface Physics and Department of Physics, Human Phenome Institute, Academy for Engineering and Technology, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Yiwu Research Institute of Fudan University, Fudan University, Shanghai, P.R. China
| | - Qiang Liu
- Department of Pathology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Jun Xia
- Department of Pathology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Yongheng Shi
- Department of Pathology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Lin Qi
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, P.R. China
| | - Jiahua Pan
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Minbiao Ji
- State Key Laboratory of Surface Physics and Department of Physics, Human Phenome Institute, Academy for Engineering and Technology, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Yiwu Research Institute of Fudan University, Fudan University, Shanghai, P.R. China
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4
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Caron JM, Han X, Lary CW, Sathyanarayana P, Remick SC, Ernstoff MS, Herlyn M, Brooks PC. Targeting the secreted RGDKGE collagen fragment reduces PD‑L1 by a proteasome‑dependent mechanism and inhibits tumor growth. Oncol Rep 2023; 49:44. [PMID: 36633146 PMCID: PMC9868893 DOI: 10.3892/or.2023.8481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 11/16/2022] [Indexed: 01/13/2023] Open
Abstract
Structural alterations of collagen impact signaling that helps control tumor progression and the responses to therapeutic intervention. Integrins represent a class of receptors that include members that mediate collagen signaling. However, a strategy of directly targeting integrins to control tumor growth has demonstrated limited activity in the clinical setting. New molecular understanding of integrins have revealed that these receptors can regulate both pro‑ and anti‑tumorigenic functions in a cell type‑dependent manner. Therefore, designing strategies that block pro‑tumorigenic signaling, without impeding anti‑tumorigenic functions, may lead to development of more effective therapies. In the present study, evidence was provided for a novel signaling cascade in which β3‑integrin‑mediated binding to a secreted RGDKGE‑containing collagen fragment stimulates an autocrine‑like signaling pathway that differentially governs the activity of both YAP and (protein kinase‑A) PKA, ultimately leading to alterations in the levels of immune checkpoint molecule PD‑L1 by a proteasome dependent mechanism. Selectively targeting this collagen fragment, reduced nuclear YAP levels, and enhanced PKA and proteasome activity, while also exhibiting significant antitumor activity in vivo. The present findings not only provided new mechanistic insight into a previously unknown autocrine‑like signaling pathway that may provide tumor cells with the ability to regulate PD‑L1, but our findings may also help in the development of more effective strategies to control pro‑tumorigenic β3‑integrin signaling without disrupting its tumor suppressive functions in other cellular compartments.
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Affiliation(s)
- Jennifer M. Caron
- MaineHealth Institute for Research, Center for Molecular Medicine, Scarborough, ME 04074, USA
| | - Xianghua Han
- MaineHealth Institute for Research, Center for Molecular Medicine, Scarborough, ME 04074, USA
| | - Christine W. Lary
- MaineHealth Institute for Research, Center for Molecular Medicine, Scarborough, ME 04074, USA
| | - Pradeep Sathyanarayana
- MaineHealth Institute for Research, Center for Molecular Medicine, Scarborough, ME 04074, USA
| | - Scot C. Remick
- MaineHealth Institute for Research, Center for Molecular Medicine, Scarborough, ME 04074, USA
| | - Marc S. Ernstoff
- Division of Cancer Treatment and Diagnosis, Developmental Therapeutics Program, National Cancer Institute, Bethesda, MD 20892, USA
| | | | - Peter C. Brooks
- MaineHealth Institute for Research, Center for Molecular Medicine, Scarborough, ME 04074, USA
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Kaniyala Melanthota S, Kistenev YV, Borisova E, Ivanov D, Zakharova O, Boyko A, Vrazhnov D, Gopal D, Chakrabarti S, K SP, Mazumder N. Types of spectroscopy and microscopy techniques for cancer diagnosis: a review. Lasers Med Sci 2022; 37:3067-3084. [PMID: 35834141 PMCID: PMC9525344 DOI: 10.1007/s10103-022-03610-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 07/05/2022] [Indexed: 11/25/2022]
Abstract
Cancer is a life-threatening disease that has claimed the lives of many people worldwide. With the current diagnostic methods, it is hard to determine cancer at an early stage, due to its versatile nature and lack of genomic biomarkers. The rapid development of biophotonics has emerged as a potential tool in cancer detection and diagnosis. Using the fluorescence, scattering, and absorption characteristics of cells and tissues, it is possible to detect cancer at an early stage. The diagnostic techniques addressed in this review are highly sensitive to the chemical and morphological changes in the cell and tissue during disease progression. These changes alter the fluorescence signal of the cell/tissue and are detected using spectroscopy and microscopy techniques including confocal and two-photon fluorescence (TPF). Further, second harmonic generation (SHG) microscopy reveals the morphological changes that occurred in non-centrosymmetric structures in the tissue, such as collagen. Again, Raman spectroscopy is a non-destructive method that provides a fingerprinting technique to differentiate benign and malignant tissue based on Raman signal. Photoacoustic microscopy and spectroscopy of tissue allow molecule-specific detection with high spatial resolution and penetration depth. In addition, terahertz spectroscopic studies reveal the variation of tissue water content during disease progression. In this review, we address the applications of spectroscopic and microscopic techniques for cancer detection based on the optical properties of the tissue. The discussed state-of-the-art techniques successfully determines malignancy to its rapid diagnosis.
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Affiliation(s)
- Sindhoora Kaniyala Melanthota
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, 576104, Manipal, India
| | - Yury V Kistenev
- Laboratory of Biophotonics, Tomsk State University, Tomsk, 634050, Russia
- Central Research Laboratory, Siberian State Medical University, Tomsk, 634050, Russia
| | - Ekaterina Borisova
- Laboratory of Biophotonics, Institute of Electronics, Bulgarian Academy of Sciences, Tsarigradsko Chaussee Blvd, 72, 1784, Sofia, Bulgaria.
- Biology Faculty, Saratov State University, 83, Astrakhanskaya Str, 410012, Saratov, Russia.
| | - Deyan Ivanov
- Laboratory of Biophotonics, Institute of Electronics, Bulgarian Academy of Sciences, Tsarigradsko Chaussee Blvd, 72, 1784, Sofia, Bulgaria
| | - Olga Zakharova
- Laboratory of Biophotonics, Tomsk State University, Tomsk, 634050, Russia
| | - Andrey Boyko
- Laboratory of Biophotonics, Tomsk State University, Tomsk, 634050, Russia
| | - Denis Vrazhnov
- Laboratory of Biophotonics, Tomsk State University, Tomsk, 634050, Russia
| | - Dharshini Gopal
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, 576104, Manipal, India
| | - Shweta Chakrabarti
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, 576104, Manipal, India
| | - Shama Prasada K
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, 576104, Manipal, India
| | - Nirmal Mazumder
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, 576104, Manipal, India.
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6
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Zhang B, Yao T, Chen Y, Wang C, Bao Y, Wang Z, Zhao K, Ji M. Label-Free Delineation of Human Uveal Melanoma Infiltration With Pump–Probe Microscopy. Front Oncol 2022; 12:891282. [PMID: 35936703 PMCID: PMC9354715 DOI: 10.3389/fonc.2022.891282] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 06/20/2022] [Indexed: 11/13/2022] Open
Abstract
Uveal melanoma (UM) is the most frequent primary intraocular malignancy in adults, characterized by melanin depositions in melanocytes located in the uveal tract in the eyes. Differentiation of melanin species (eumelanin and pheomelanin) is crucial in the diagnosis and management of UM, yet it remains inaccessible for conventional histology. Here, we report that femtosecond time-resolved pump-probe microscopy could provide label-free and chemical-specific detection of melanin species in human UM based on their distinct transient relaxation dynamics at the subpicosecond timescale. The method is capable of delineating the interface between melanoma and paracancerous regions on various tissue conditions, including frozen sections, paraffin sections, and fresh tissues. Moreover, transcriptome sequencing was conducted to confirm the active eumelanin synthesis in UM. Our results may hold potential for sensitive detection of tumor boundaries and biomedical research on melanin metabolism in UM.
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Affiliation(s)
- Bohan Zhang
- State Key Laboratory of Surface Physics and Department of Physics, Multiscale Research Institute of Complex Systems, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Academy for Engineering and Technology, Human Phenome Institute, Fudan University, Shanghai, China
| | - Tengteng Yao
- Department of Ophthalmology, The Shanghai Tenth People’s Hospital of Tongji University, Shanghai, China
- Department of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yaxin Chen
- State Key Laboratory of Surface Physics and Department of Physics, Multiscale Research Institute of Complex Systems, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Academy for Engineering and Technology, Human Phenome Institute, Fudan University, Shanghai, China
| | - Chuqiao Wang
- Department of Ophthalmology, The Shanghai Tenth People’s Hospital of Tongji University, Shanghai, China
- Department of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yongyang Bao
- Department of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhaoyang Wang
- Department of Ophthalmology, The Shanghai Tenth People’s Hospital of Tongji University, Shanghai, China
- *Correspondence: Minbiao Ji, ; Keke Zhao, ; Zhaoyang Wang,
| | - Keke Zhao
- Department of Ophthalmology, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
- *Correspondence: Minbiao Ji, ; Keke Zhao, ; Zhaoyang Wang,
| | - Minbiao Ji
- State Key Laboratory of Surface Physics and Department of Physics, Multiscale Research Institute of Complex Systems, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Academy for Engineering and Technology, Human Phenome Institute, Fudan University, Shanghai, China
- *Correspondence: Minbiao Ji, ; Keke Zhao, ; Zhaoyang Wang,
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7
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Instant diagnosis of gastroscopic biopsy via deep-learned single-shot femtosecond stimulated Raman histology. Nat Commun 2022; 13:4050. [PMID: 35831299 PMCID: PMC9279377 DOI: 10.1038/s41467-022-31339-8] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 06/15/2022] [Indexed: 12/18/2022] Open
Abstract
Gastroscopic biopsy provides the only effective method for gastric cancer diagnosis, but the gold standard histopathology is time-consuming and incompatible with gastroscopy. Conventional stimulated Raman scattering (SRS) microscopy has shown promise in label-free diagnosis on human tissues, yet it requires the tuning of picosecond lasers to achieve chemical specificity at the cost of time and complexity. Here, we demonstrate that single-shot femtosecond SRS (femto-SRS) reaches the maximum speed and sensitivity with preserved chemical resolution by integrating with U-Net. Fresh gastroscopic biopsy is imaged in <60 s, revealing essential histoarchitectural hallmarks perfectly agreed with standard histopathology. Moreover, a diagnostic neural network (CNN) is constructed based on images from 279 patients that predicts gastric cancer with accuracy >96%. We further demonstrate semantic segmentation of intratumor heterogeneity and evaluation of resection margins of endoscopic submucosal dissection (ESD) tissues to simulate rapid and automated intraoperative diagnosis. Our method holds potential for synchronizing gastroscopy and histopathological diagnosis. Diagnosis of gastric cancer currently requires gastroscopic biopsy, which requires time and expertize to perform. Here, the authors demonstrate a femto-SRS imaging method which showed high accuracy in diagnosing gastric cancer without the need for pathologistbased diagnosis.
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8
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Second-Harmonic Generation Imaging Reveals Changes in Breast Tumor Collagen Induced by Neoadjuvant Chemotherapy. Cancers (Basel) 2022; 14:cancers14040857. [PMID: 35205605 PMCID: PMC8869853 DOI: 10.3390/cancers14040857] [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: 01/21/2022] [Accepted: 02/03/2022] [Indexed: 12/10/2022] Open
Abstract
Breast cancer is the most common invasive cancer in women, with most deaths attributed to metastases. Neoadjuvant chemotherapy (NACT) may be prescribed prior to surgical removal of the tumor for subsets of breast cancer patients but can have diverse undesired and off-target effects, including the increased appearance of the 'tumor microenvironment of metastasis', image-based multicellular signatures that are prognostic of breast tumor metastasis. To assess whether NACT can induce changes in two other image-based prognostic/predictive signatures derived from tumor collagen, we quantified second-harmonic generation (SHG) directionality and fiber alignment in formalin-fixed, paraffin-embedded sections of core needle biopsies and primary tumor excisions from 22 human epidermal growth factor receptor 2-overexpressing (HER2+) and 22 triple-negative breast cancers. In both subtypes, we found that SHG directionality (i.e., the forward-to-backward scattering ratio, or F/B) is increased by NACT in the bulk of the tumor, but not the adjacent tumor-stroma interface. Overall collagen fiber alignment is increased by NACT in triple-negative but not HER2+ breast tumors. These results suggest that NACT impacts the collagenous extracellular matrix in a complex and subtype-specific manner, with some prognostic features being unchanged while others are altered in a manner suggestive of a more metastatic phenotype.
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Kim MS, Ha SE, Wu M, Zogg H, Ronkon CF, Lee MY, Ro S. Extracellular Matrix Biomarkers in Colorectal Cancer. Int J Mol Sci 2021; 22:ijms22179185. [PMID: 34502094 PMCID: PMC8430714 DOI: 10.3390/ijms22179185] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 08/12/2021] [Accepted: 08/18/2021] [Indexed: 12/12/2022] Open
Abstract
The cellular microenvironment composition and changes therein play an extremely important role in cancer development. Changes in the extracellular matrix (ECM), which constitutes a majority of the tumor stroma, significantly contribute to the development of the tumor microenvironment. These alterations within the ECM and formation of the tumor microenvironment ultimately lead to tumor development, invasion, and metastasis. The ECM is composed of various molecules such as collagen, elastin, laminin, fibronectin, and the MMPs that cleave these protein fibers and play a central role in tissue remodeling. When healthy cells undergo an insult like DNA damage and become cancerous, if the ECM does not support these neoplastic cells, further development, invasion, and metastasis fail to occur. Therefore, ECM-related cancer research is indispensable, and ECM components can be useful biomarkers as well as therapeutic targets. Colorectal cancer specifically, is also affected by the ECM and many studies have been conducted to unravel the complex association between the two. Here we summarize the importance of several ECM components in colorectal cancer as well as their potential roles as biomarkers.
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Affiliation(s)
- Min-Seob Kim
- Department of Physiology, Digestive Disease Research Institute and Institute of Wonkwang Medical Science, School of Medicine, Wonkwang University, Iksan 54538, Korea; (M.-S.K.); (M.W.)
| | - Se-Eun Ha
- Department of Physiology and Cell Biology, Reno School of Medicine, University of Nevada, Reno, NV 89557, USA; (S.-E.H.); (H.Z.); (C.F.R.)
| | - Moxin Wu
- Department of Physiology, Digestive Disease Research Institute and Institute of Wonkwang Medical Science, School of Medicine, Wonkwang University, Iksan 54538, Korea; (M.-S.K.); (M.W.)
- Department of Medical Laboratory, Affiliated Hospital of Jiujiang University, Jiujiang 332000, China
| | - Hannah Zogg
- Department of Physiology and Cell Biology, Reno School of Medicine, University of Nevada, Reno, NV 89557, USA; (S.-E.H.); (H.Z.); (C.F.R.)
| | - Charles F. Ronkon
- Department of Physiology and Cell Biology, Reno School of Medicine, University of Nevada, Reno, NV 89557, USA; (S.-E.H.); (H.Z.); (C.F.R.)
| | - Moon-Young Lee
- Department of Physiology, Digestive Disease Research Institute and Institute of Wonkwang Medical Science, School of Medicine, Wonkwang University, Iksan 54538, Korea; (M.-S.K.); (M.W.)
- Correspondence: (M.-Y.L.); (S.R.)
| | - Seungil Ro
- Department of Physiology and Cell Biology, Reno School of Medicine, University of Nevada, Reno, NV 89557, USA; (S.-E.H.); (H.Z.); (C.F.R.)
- Correspondence: (M.-Y.L.); (S.R.)
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10
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Local Immune Changes in Early Stages of Inflammation and Carcinogenesis Correlate with the Collagen Scaffold Changes of the Colon Mucosa. Cancers (Basel) 2021; 13:cancers13102463. [PMID: 34070183 PMCID: PMC8158480 DOI: 10.3390/cancers13102463] [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: 04/15/2021] [Revised: 05/09/2021] [Accepted: 05/13/2021] [Indexed: 11/22/2022] Open
Abstract
Simple Summary Chronic colitis and colon cancer develop for alteration of the mucosa homeostatic regulation, also involving TGF-β1. Dextran sulphate sodium (DSS)-induced colitis and azoxymethane (AOM)-induced colorectal carcinogenesis animal models allow for the investigation of the pathological evolution steps. Since chronic inflammation is a common factor, we aimed to explore in rat models the colon mucosa immunological and structural conditions at one month after the end of the inductions, a transition period between acute effects and established lesions. We found, in comparison to healthy controls, downregulation of inflammatory cytokines (except IL-6) and of TGF-β1. At the same time, the collagen scaffold was significantly remodelled in both groups. We conclude that the pro-inflammatory cytokines, in front of a downregulated TGF-β1, sustained a smouldering inflammation with structural changes preparing the niche of both pathologies (ulcerative colitis with fibrosis; tumour). The collagen scaffold changes pointing to an unnoticed inflammation may be suggested as a possible pre-neoplastic condition marker. Abstract Continuous activation of the immune system inside a tissue can lead to remodelling of the tissue structure and creation of a specific microenvironment, such as during the tumour development. Chronic inflammation is a central player in stimulating changes that alter the tissue stroma and can lead to fibrotic evolution. In the colon mucosa, regulatory mechanisms, including TGF-β1, avoid damaging inflammation in front of the continuous challenge by the intestinal microbiome. Inducing either DSS colitis or AOM colorectal carcinogenesis in AVN-Wistar rats, we evaluated at one month after the end of each treatment whether immunological changes and remodelling of the collagen scaffold were already in development. At this time point, we found in both models a general downregulation of pro-inflammatory cytokines and even of TGF-β1, but not of IL-6. Moreover, we demonstrated by multi-photon microscopy the simultaneously presence of pro-fibrotic remodelling of the collagen scaffold, with measurable changes in comparison to the control mucosa. The scaffold was significantly modified depending on the type of induced stimulation. These results suggest that at one month after the end of the DSS or AOM inductions, a smouldering inflammation is present in both induced conditions, since the pro-inflammatory cytokines still exceed, in proportion, the local homeostatic regulation of which TGF-β1 is a part (inflammatory threshold). Such an inflammation appears sufficient to sustain remodelling of the collagen scaffold that may be taken as a possible pathological marker for revealing pre-neoplastic inflammation.
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11
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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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12
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Xi G, Guo W, Kang D, Ma J, Fu F, Qiu L, Zheng L, He J, Fang N, Chen J, Li J, Zhuo S, Liao X, Tu H, Li L, Zhang Q, Wang C, Boppart SA, Chen J. Large-scale tumor-associated collagen signatures identify high-risk breast cancer patients. Theranostics 2021; 11:3229-3243. [PMID: 33537084 PMCID: PMC7847696 DOI: 10.7150/thno.55921] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 12/20/2020] [Indexed: 01/29/2023] Open
Abstract
The notion of personalized medicine demands proper prognostic biomarkers to guide the optimal therapy for an invasive breast cancer patient. However, various risk prediction models based on conventional clinicopathological factors and emergent molecular assays have been frequently limited by either a low strength of prognosis or restricted applicability to specific types of patients. Therefore, there is a critical need to develop a strong and general prognosticator. Methods: We observed five large-scale tumor-associated collagen signatures (TACS4-8) obtained by multiphoton microscopy at the invasion front of the breast primary tumor, which contrasted with the three tumor-associated collagen signatures (TACS1-3) discovered by Keely and coworkers at a smaller scale. Highly concordant TACS1-8 classifications were obtained by three independent observers. Using the ridge regression analysis, we obtained a TACS-score for each patient based on the combined TACS1-8 and established a risk prediction model based on the TACS-score. In a blind fashion, consistent retrospective prognosis was obtained from 995 breast cancer patients in both a training cohort (n= 431) and an internal validation cohort (n = 300) collected from one clinical center, and in an external validation cohort (n = 264) collected from a different clinical center. Results: TACS1-8 model alone competed favorably with all reported models in predicting disease-free survival (AUC: 0.838, [0.800-0.872]; 0.827, [0.779-0.868]; 0.807, [0.754-0.853] in the three cohorts) and stratifying low- and high-risk patients (HR 7.032, [4.869-10.158]; 6.846, [4.370-10.726], 4.423, [2.917-6.708]). The combination of these factors with the TACS-score into a nomogram model further improved the prognosis (AUC: 0.865, [0.829-0.896]; 0.861, [0.816-0.898]; 0.854, [0.805-0.894]; HR 7.882, [5.487-11.323]; 9.176, [5.683-14.816], and 5.548, [3.705-8.307]). The nomogram identified 72 of 357 (~20%) patients with unsuccessful 5-year disease-free survival that might have been undertreated postoperatively. Conclusions: The risk prediction model based on TACS1-8 considerably outperforms the contextual clinical model and may thus convince pathologists to pursue a TACS-based breast cancer prognosis. Our methodology identifies a significant portion of patients susceptible to undertreatment (high-risk patients), in contrast to the multigene assays that often strive to mitigate overtreatment. The compatibility of our methodology with standard histology using traditional (non-tissue-microarray) formalin-fixed paraffin-embedded (FFPE) tissue sections could simplify subsequent clinical translation.
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Affiliation(s)
- 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
| | - Wenhui Guo
- Breast Surgery Ward, Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Deyong Kang
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Jianli Ma
- Department of Radiation Oncology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Fangmeng Fu
- Breast Surgery Ward, Department of General Surgery, Fujian Medical University Union Hospital, 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
| | - 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
| | - 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
| | - Na Fang
- 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
- Department of Ophthalmology and Optometry, Fujian Medical University, Fuzhou, China
| | - Jianhua 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
- College of Life Science, Fujian Normal University, Fuzhou, China
| | - Jingtong Li
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Shuangmu Zhuo
- 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
| | - Xiaoxia Liao
- National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, USA
| | - Haohua Tu
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, USA
| | - 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
| | - Qingyuan Zhang
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Chuan Wang
- Breast Surgery Ward, Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Stephen A. Boppart
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, USA
| | - 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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13
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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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14
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Desa DE, Strawderman RL, Wu W, Hill RL, Smid M, Martens JWM, Turner BM, Brown EB. Intratumoral heterogeneity of second-harmonic generation scattering from tumor collagen and its effects on metastatic risk prediction. BMC Cancer 2020; 20:1217. [PMID: 33302909 PMCID: PMC7731482 DOI: 10.1186/s12885-020-07713-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 12/06/2020] [Indexed: 12/21/2022] Open
Abstract
Background Metastases are the leading cause of breast cancer-related deaths. The tumor microenvironment impacts cancer progression and metastatic ability. Fibrillar collagen, a major extracellular matrix component, can be studied using the light scattering phenomenon known as second-harmonic generation (SHG). The ratio of forward- to backward-scattered SHG photons (F/B) is sensitive to collagen fiber internal structure and has been shown to be an independent prognostic indicator of metastasis-free survival time (MFS). Here we assess the effects of heterogeneity in the tumor matrix on the possible use of F/B as a prognostic tool. Methods SHG imaging was performed on sectioned primary tumor excisions from 95 untreated, estrogen receptor-positive, lymph node negative invasive ductal carcinoma patients. We identified two distinct regions whose collagen displayed different average F/B values, indicative of spatial heterogeneity: the cellular tumor bulk and surrounding tumor-stroma interface. To evaluate the impact of heterogeneity on F/B’s prognostic ability, we performed SHG imaging in the tumor bulk and tumor-stroma interface, calculated a 21-gene recurrence score (surrogate for OncotypeDX®, or S-ODX) for each patient and evaluated their combined prognostic ability. Results We found that F/B measured in tumor-stroma interface, but not tumor bulk, is prognostic of MFS using three methods to select pixels for analysis: an intensity threshold selected by a blinded observer, a histogram-based thresholding method, and an adaptive thresholding method. Using both regression trees and Random Survival Forests for MFS outcome, we obtained data-driven prediction rules that show F/B from tumor-stroma interface, but not tumor bulk, and S-ODX both contribute to predicting MFS in this patient cohort. We also separated patients into low-intermediate (S-ODX < 26) and high risk (S-ODX ≥26) groups. In the low-intermediate risk group, comprised of patients not typically recommended for adjuvant chemotherapy, we find that F/B from the tumor-stroma interface is prognostic of MFS and can identify a patient cohort with poor outcomes. Conclusions These data demonstrate that intratumoral heterogeneity in F/B values can play an important role in its possible use as a prognostic marker, and that F/B from tumor-stroma interface of primary tumor excisions may provide useful information to stratify patients by metastatic risk. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-020-07713-4.
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Affiliation(s)
- Danielle E Desa
- Department of Biomedical Engineering, Hajim School of Engineering and Applied Sciences, University of Rochester, Rochester, New York, USA
| | - Robert L Strawderman
- Department of Biostatistics and Computational Biology, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, New York, USA
| | - Wencheng Wu
- Goergen Institute for Data Science, University of Rochester, Rochester, New York, USA
| | | | - Marcel Smid
- Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, Netherlands
| | - J W M Martens
- Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Bradley M Turner
- Department of Pathology and Laboratory Medicine, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, New York, USA
| | - Edward B Brown
- Department of Biomedical Engineering, Hajim School of Engineering and Applied Sciences, University of Rochester, Rochester, New York, USA.
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15
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Tokarz D, Cisek R, Joseph A, Asa SL, Wilson BC, Barzda V. Characterization of pathological thyroid tissue using polarization-sensitive second harmonic generation microscopy. J Transl Med 2020; 100:1280-1287. [PMID: 32737408 DOI: 10.1038/s41374-020-0475-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 07/07/2020] [Accepted: 07/09/2020] [Indexed: 11/09/2022] Open
Abstract
Polarization-sensitive second harmonic generation (SHG) microscopy is an established imaging technique able to provide information related to specific molecular structures including collagen. In this investigation, polarization-sensitive SHG microscopy was used to investigate changes in the collagen ultrastructure between histopathology slides of normal and diseased human thyroid tissues including follicular nodular disease, Grave's disease, follicular variant of papillary thyroid carcinoma, classical papillary thyroid carcinoma, insular or poorly differentiated carcinoma, and anaplastic or undifferentiated carcinoma ex vivo. The second-order nonlinear optical susceptibility tensor component ratios, χ(2)zzz'/χ(2)zxx' and χ(2)xyz'/χ(2)zxx', were obtained, where χ(2)zzz'/χ(2)zxx' is a structural parameter and χ(2)xyz'/χ(2)zxx' is a measure of the chirality of the collagen fibers. Furthermore, the degree of linear polarization (DOLP) of the SHG signal was measured. A statistically significant increase in χ(2)zzz'/χ(2)zxx' values for all the diseased tissues except insular carcinoma and a statistically significant decrease in DOLP for all the diseased tissues were observed compared to normal thyroid. This finding indicates a higher ultrastructural disorder in diseased collagen and provides an innovative approach to discriminate between normal and diseased thyroid tissues that is complementary to standard histopathology.
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Affiliation(s)
- Danielle Tokarz
- Department of Chemistry, Saint Mary's University, Halifax, NS, Canada.
| | - Richard Cisek
- Department of Chemistry, Saint Mary's University, Halifax, NS, Canada
| | - Ariana Joseph
- Department of Chemistry, Saint Mary's University, Halifax, NS, Canada
| | - Sylvia L Asa
- University Health Network, University of Toronto, Toronto, ON, Canada.,University Hospitals Cleveland Medical Center, Cleveland, OH, USA.,Department of Pathology, Case Western Reserve University, Cleveland, OH, USA
| | - Brian C Wilson
- Princess Margaret Cancer Centre/University Health Network, Toronto, ON, Canada. .,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
| | - Virginijus Barzda
- Department of Physics, University of Toronto, Toronto, ON, Canada. .,Department of Chemical and Physical Sciences, University of Toronto Mississauga, Mississauga, ON, Canada.
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16
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Mierke CT. Mechanical Cues Affect Migration and Invasion of Cells From Three Different Directions. Front Cell Dev Biol 2020; 8:583226. [PMID: 33043017 PMCID: PMC7527720 DOI: 10.3389/fcell.2020.583226] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 08/24/2020] [Indexed: 12/20/2022] Open
Abstract
Cell migration and invasion is a key driving factor for providing essential cellular functions under physiological conditions or the malignant progression of tumors following downward the metastatic cascade. Although there has been plentiful of molecules identified to support the migration and invasion of cells, the mechanical aspects have not yet been explored in a combined and systematic manner. In addition, the cellular environment has been classically and frequently assumed to be homogeneous for reasons of simplicity. However, motility assays have led to various models for migration covering only some aspects and supporting factors that in some cases also include mechanical factors. Instead of specific models, in this review, a more or less holistic model for cell motility in 3D is envisioned covering all these different aspects with a special emphasis on the mechanical cues from a biophysical perspective. After introducing the mechanical aspects of cell migration and invasion and presenting the heterogeneity of extracellular matrices, the three distinct directions of cell motility focusing on the mechanical aspects are presented. These three different directions are as follows: firstly, the commonly used invasion tests using structural and structure-based mechanical environmental signals; secondly, the mechano-invasion assay, in which cells are studied by mechanical forces to migrate and invade; and thirdly, cell mechanics, including cytoskeletal and nuclear mechanics, to influence cell migration and invasion. Since the interaction between the cell and the microenvironment is bi-directional in these assays, these should be accounted in migration and invasion approaches focusing on the mechanical aspects. Beyond this, there is also the interaction between the cytoskeleton of the cell and its other compartments, such as the cell nucleus. In specific, a three-element approach is presented for addressing the effect of mechanics on cell migration and invasion by including the effect of the mechano-phenotype of the cytoskeleton, nucleus and the cell's microenvironment into the analysis. In precise terms, the combination of these three research approaches including experimental techniques seems to be promising for revealing bi-directional impacts of mechanical alterations of the cellular microenvironment on cells and internal mechanical fluctuations or changes of cells on the surroundings. Finally, different approaches are discussed and thereby a model for the broad impact of mechanics on cell migration and invasion is evolved.
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Affiliation(s)
- Claudia Tanja Mierke
- Faculty of Physics and Earth Science, Peter Debye Institute of Soft Matter Physics, Biological Physics Division, University of Leipzig, Leipzig, Germany
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17
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Bourgot I, Primac I, Louis T, Noël A, Maquoi E. Reciprocal Interplay Between Fibrillar Collagens and Collagen-Binding Integrins: Implications in Cancer Progression and Metastasis. Front Oncol 2020; 10:1488. [PMID: 33014790 PMCID: PMC7461916 DOI: 10.3389/fonc.2020.01488] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 07/13/2020] [Indexed: 12/14/2022] Open
Abstract
Cancers are complex ecosystems composed of malignant cells embedded in an intricate microenvironment made of different non-transformed cell types and extracellular matrix (ECM) components. The tumor microenvironment is governed by constantly evolving cell-cell and cell-ECM interactions, which are now recognized as key actors in the genesis, progression and treatment of cancer lesions. The ECM is composed of a multitude of fibrous proteins, matricellular-associated proteins, and proteoglycans. This complex structure plays critical roles in cancer progression: it functions as the scaffold for tissues organization and provides biochemical and biomechanical signals that regulate key cancer hallmarks including cell growth, survival, migration, differentiation, angiogenesis, and immune response. Cells sense the biochemical and mechanical properties of the ECM through specialized transmembrane receptors that include integrins, discoidin domain receptors, and syndecans. Advanced stages of several carcinomas are characterized by a desmoplastic reaction characterized by an extensive deposition of fibrillar collagens in the microenvironment. This compact network of fibrillar collagens promotes cancer progression and metastasis, and is associated with low survival rates for cancer patients. In this review, we highlight how fibrillar collagens and their corresponding integrin receptors are modulated during cancer progression. We describe how the deposition and alignment of collagen fibers influence the tumor microenvironment and how fibrillar collagen-binding integrins expressed by cancer and stromal cells critically contribute in cancer hallmarks.
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Affiliation(s)
| | | | | | | | - Erik Maquoi
- Laboratory of Tumor and Development Biology, GIGA-Cancer, University of Liège, Liège, Belgium
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18
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The significance of stromal collagen organization in cancer tissue: An in-depth discussion of literature. Crit Rev Oncol Hematol 2020; 151:102907. [DOI: 10.1016/j.critrevonc.2020.102907] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 02/09/2020] [Accepted: 02/10/2020] [Indexed: 12/12/2022] Open
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19
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Campanella NC, Silva EC, Dix G, de Lima Vazquez F, Escremim de Paula F, Berardinelli GN, Balancin M, Chammas R, Mendoza Lopez RV, Silveira HCS, Capelozzi VL, Reis RM. Mutational Profiling of Driver Tumor Suppressor and Oncogenic Genes in Brazilian Malignant Pleural Mesotheliomas. Pathobiology 2020; 87:208-216. [PMID: 32369821 DOI: 10.1159/000507373] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 03/20/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Malignant pleural mesothelioma (MPM) is a highly lethal disease comprising a heterogeneous group of tumors with challenging to predict biological behavior. The diagnosis is complex, and the histologic classification includes 2 major subtypes of MPM: epithelioid (∼60% of cases) and sarcomatous (∼20%). Its identification depends upon pathological investigation supported by clinical and radiological evidence and more recently ancillary molecular testing. Treatment options are currently limited, with no known targeted therapies available. OBJECTIVES To elucidate the mutation profile of driver tumor suppressor and oncogenic genes in a cohort of Brazilian patients. METHODS We sequenced 16 driver genes in a series of 43 Brazilian malignant mesothelioma (MM) patients from 3 distinct Brazilian centers. Genomic DNA was extracted from formalin-fixed paraffin-embedded tumor tissue blocks, and the TERT promoter region was amplified by PCR followed by direct capillary sequencing. The Illumina TruSight Tumor 15 was used to evaluate 250 amplicons from 15 genes associated with solid tumors (AKT1, GNA11, NRAS, BRAF, GNAQ, PDGFRA, EGFR, KIT, PIK3CA, ERBB2, KRAS, RET, FOXL2, MET,and TP53). Library preparation with the TruSight Tumor 15 was performed before sequencing at the MiSeq platform. Data analysis was performed using Sophia DDM software. RESULTS Out of 43 MPM patients, 38 (88.4%) were epithelioid subtype and 5 (11.6%) were sarcomatoid histotype. Asbestos exposure was present in 15 (39.5%) patients with epithelioid MPM and 3 (60%) patients with sarcomatoid MPM. We found a TERT promoter mutation in 11.6% of MM, and the c.-146C>T mutation was the most common event. The next-generation sequencing was successful in 33 cases. A total of 18 samples showed at least 1 pathogenic, with a median of 1.8 variants, ranging from 1 to 6. The most mutated genes were TP53 and ERBB2 with 7 variants each, followed by NRAS BRAF, PI3KCA, EGFR and PDGFRA with 2 variants each. KIT, AKT1, and FOXL2 genes exhibited 1 variant each. Interestingly, 2 variants observed in the PDGFRA gene are classic imatinib-sensitive therapy. CONCLUSIONS We concluded that Brazilian MPM harbor mutation in classic tumor suppressor and oncogenic genes, which might help in the guidance of personalized treatment of MPM.
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Affiliation(s)
| | | | - Gustavo Dix
- Department of Surgery, Barretos Cancer Hospital, Barretos, Brazil
| | | | | | | | - Marcelo Balancin
- Department of Pathology, Faculty of Medicine, University of São Paulo, São Paulo, Brazil.,Center for Translational Research in Oncology, Instituto do Câncer do Estado de São Paulo, São Paulo, Brazil
| | - Roger Chammas
- Center for Translational Research in Oncology, Instituto do Câncer do Estado de São Paulo, São Paulo, Brazil
| | - Rossana V Mendoza Lopez
- Center for Translational Research in Oncology, Instituto do Câncer do Estado de São Paulo, São Paulo, Brazil
| | | | - Vera Luiza Capelozzi
- Department of Pathology, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - Rui Manuel Reis
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil, .,Life and Health Sciences Research Institute (ICVS), Medical School, University of Minho, Braga, Portugal, .,ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães, Portugal,
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20
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Le CC, Bennasroune A, Langlois B, Salesse S, Boulagnon-Rombi C, Morjani H, Dedieu S, Appert-Collin A. Functional Interplay Between Collagen Network and Cell Behavior Within Tumor Microenvironment in Colorectal Cancer. Front Oncol 2020; 10:527. [PMID: 32426274 PMCID: PMC7204546 DOI: 10.3389/fonc.2020.00527] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Accepted: 03/24/2020] [Indexed: 12/12/2022] Open
Abstract
Colorectal cancer is the second most common cancer diagnosed in men and the third most commonly occurring in women worldwide. Interactions between cells and the surrounding extracellular matrix (ECM) are involved in tumor development and progression of many types of cancer. The organization of the ECM molecules provides not only physical scaffoldings and dynamic network into which cells are embedded but also allows the control of many cellular behaviors including proliferation, migration, differentiation, and survival leading to homeostasis and morphogenesis regulation. Modifications of ECM composition and mechanical properties during carcinogenesis are critical for tumor initiation and progression. The core matrisome consists of five classes of macromolecules, which are collagens, laminins, fibronectin, proteoglycans, and hyaluronans. In most tissues, fibrillar collagen is the major component of ECM. Cells embedded into fibrillar collagen interact with it through their surface receptors, such as integrins and discoidin domain receptors (DDRs). On the one hand, cells incorporate signals from ECM that modify their functionalities and behaviors. On the other hand, all cells within tumor environment (cancer cells, cancer-associated fibroblasts, endothelial cells, and immune cells) synthesize and secrete matrix macromolecules under the control of multiple extracellular signals. This cell-ECM dialog participates in a dynamic way in ECM formation and its biophysical and biochemical properties. Here, we will review the functional interplay between cells and collagen network within the tumor microenvironment during colorectal cancer progression.
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Affiliation(s)
- Cuong Cao Le
- Université de Reims Champagne-Ardenne, Reims, France.,CNRS UMR 7369, Matrice Extracellulaire et Dynamique Cellulaire, MEDyC, Reims, France.,Unité BioSpecT, EA7506, Reims, France
| | - Amar Bennasroune
- Université de Reims Champagne-Ardenne, Reims, France.,CNRS UMR 7369, Matrice Extracellulaire et Dynamique Cellulaire, MEDyC, Reims, France
| | - Benoit Langlois
- Université de Reims Champagne-Ardenne, Reims, France.,CNRS UMR 7369, Matrice Extracellulaire et Dynamique Cellulaire, MEDyC, Reims, France
| | - Stéphanie Salesse
- Université de Reims Champagne-Ardenne, Reims, France.,CNRS UMR 7369, Matrice Extracellulaire et Dynamique Cellulaire, MEDyC, Reims, France
| | - Camille Boulagnon-Rombi
- Université de Reims Champagne-Ardenne, Reims, France.,CNRS UMR 7369, Matrice Extracellulaire et Dynamique Cellulaire, MEDyC, Reims, France.,Laboratoire de Biopathologie, Centre Hospitalier Universitaire et Faculté de Médecine, Reims, France
| | - Hamid Morjani
- Université de Reims Champagne-Ardenne, Reims, France.,Unité BioSpecT, EA7506, Reims, France
| | - Stéphane Dedieu
- Université de Reims Champagne-Ardenne, Reims, France.,CNRS UMR 7369, Matrice Extracellulaire et Dynamique Cellulaire, MEDyC, Reims, France
| | - Aline Appert-Collin
- Université de Reims Champagne-Ardenne, Reims, France.,CNRS UMR 7369, Matrice Extracellulaire et Dynamique Cellulaire, MEDyC, Reims, France
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21
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Chen Z, Guo W, Kang D, Wang S, Zheng L, Xi G, Lian Y, Wang C, Chen J. Label-Free Identification of Early Stages of Breast Ductal Carcinoma via Multiphoton Microscopy. SCANNING 2020; 2020:9670514. [PMID: 32454928 PMCID: PMC7154972 DOI: 10.1155/2020/9670514] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Accepted: 03/03/2020] [Indexed: 05/13/2023]
Abstract
Breast cancer can be cured by early diagnosis. Appropriate and effective clinical treatment benefits from accurate pathological diagnosis. However, due to the lack of effective screening and diagnostic imaging methods, early stages of breast cancer often progress to malignant breast cancer. In this study, multiphoton microscopy (MPM) via two-photon excited fluorescence combined with second-harmonic generation was used for identifying the early stages of breast ductal carcinoma. The results showed differences in both cytological features and collagen distribution among normal breast tissue, atypical ductal hyperplasia, low-grade ductal carcinoma in situ, and high-grade ductal carcinoma in situ with microinvasion. Furthermore, three features extracted from the MPM images were used to describe differences in cytological features, collagen density, and basement membrane circumference in the early stages of breast ductal carcinoma. They revealed that MPM has the ability to identify early stages of breast ductal carcinoma label-free, which would contribute to the early diagnosis and treatment of breast cancer. This study may provide the groundwork for the further application of MPM in the clinic.
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Affiliation(s)
- 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 350007, China
| | - Wenhui Guo
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - Deyong Kang
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - Shu Wang
- College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, 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 350007, 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 350007, China
| | - Yuane Lian
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - Chuan Wang
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, 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 350007, China
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22
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Desa DE, Bhanote M, Hill RL, Majeski JB, Buscaglia B, D’Aguiar M, Strawderman R, Hicks DG, Turner BM, Brown EB. Second-harmonic generation directionality is associated with neoadjuvant chemotherapy response in breast cancer core needle biopsies. JOURNAL OF BIOMEDICAL OPTICS 2019; 24:1-9. [PMID: 31456385 PMCID: PMC6983524 DOI: 10.1117/1.jbo.24.8.086503] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 08/05/2019] [Indexed: 05/30/2023]
Abstract
Neoadjuvant chemotherapy (NACT) is routinely administered to subsets of breast cancer patients, including triple negative (TN) or human epidermal growth factor receptor 2-positive (HER2+) cancers. After NACT and subsequent surgical resection, 5% to 30% of patients have no residual invasive carcinoma, termed pathological complete response. Unfortunately, many patients experience little-to-no response after NACT and unnecessarily suffer its side effects. Methods are needed to predict an individual patient’s response to NACT. Core needle biopsies, taken before NACT, consist of tumor cells and the surrounding extracellular matrix. We performed second-harmonic generation (SHG) imaging of fibrillar collagen in core needle biopsy sections as a possible predictor of response to NACT. The ratio of forward-to-backward scattering (F/B) SHG was assessed in the “tumor bulk” and “tumor–host interface” in HER2+ and TN core needle biopsy sections. Patient response was classified post-treatment using the Residual Cancer Burden (RCB) score. In HER2+ biopsies, RCB class was associated with F/B derived from the tumor–stromal interface, but not tumor bulk. F/B was not associated with RCB class in TN biopsies. These findings suggest that F/B from needle biopsy sections may be a useful predictor of which patients will respond favorably to NACT, with the potential to help reduce overtreatment.
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Affiliation(s)
- Danielle E. Desa
- University of Rochester, Hajim School of Engineering and Applied Sciences, Department of Biomedical Engineering, Rochester, New York, United States
| | - Monisha Bhanote
- University of Rochester Medical Center, School of Medicine and Dentistry, Department of Pathology and Laboratory Medicine, Rochester, New York, United States
| | - Robert L. Hill
- Harmonigenic Corporation, Rochester, New York, United States
| | - Joseph B. Majeski
- University of Rochester, Hajim School of Engineering and Applied Sciences, Department of Biomedical Engineering, Rochester, New York, United States
| | - Brandon Buscaglia
- Rochester Institute of Technology, Kate Gleason College of Engineering, Department of Biomedical Engineering, Rochester, New York, United States
| | - Marcus D’Aguiar
- Rochester Institute of Technology, Kate Gleason College of Engineering, Department of Biomedical Engineering, Rochester, New York, United States
| | - Robert Strawderman
- University of Rochester Medical Center, School of Medicine and Dentistry, Department of Biostatistics and Computational Biology, Rochester, New York, United States
| | - David G. Hicks
- University of Rochester Medical Center, School of Medicine and Dentistry, Department of Pathology and Laboratory Medicine, Rochester, New York, United States
| | - Bradley M. Turner
- University of Rochester Medical Center, School of Medicine and Dentistry, Department of Pathology and Laboratory Medicine, Rochester, New York, United States
| | - Edward B. Brown
- University of Rochester, Hajim School of Engineering and Applied Sciences, Department of Biomedical Engineering, Rochester, New York, United States
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23
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Han Z, Li L, Kang D, Zhan Z, Tu H, Wang C, Chen J. Label-free detection of residual breast cancer after neoadjuvant chemotherapy using biomedical multiphoton microscopy. Lasers Med Sci 2019; 34:1595-1601. [DOI: 10.1007/s10103-019-02754-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 02/15/2019] [Indexed: 12/01/2022]
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24
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Wu S, Huang Y, Li Z, Wu H, Li H. Collagen Features of Dermatofibrosarcoma Protuberans Skin Base on Multiphoton Microscopy. Technol Cancer Res Treat 2019; 17:1533033818796775. [PMID: 30213241 PMCID: PMC6137550 DOI: 10.1177/1533033818796775] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Dermatofibrosarcoma protuberans is a rare, low-grade skin fibroblastic tumor which tends to recur locally due to its high misdiagnosis. Dermatofibrosarcoma protuberans usually spreads through the intracutaneous and subcutaneous layers into the deep dermis layer in which the main component is collagen. Therefore, alterations in collagen shape and content are important for accurate diagnosis of dermatofibrosarcoma protuberans. In this study, multiphoton microscopy was employed to observe normal human skin and dermatofibrosarcoma protuberans skin. Then, a centerline based on an algorithm that skeletonizes a binary image of fibers was applied to analyze collagen shapes in 2 types of skin. Then, collagen content, including intensity and density, was quantitatively obtained to demonstrate differences between the 2 skin types. Results indicate that collagen shape and density can be considered as auxiliary diagnostic parameters to improve the accuracy of dermatofibrosarcoma protuberans diagnosis.
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Affiliation(s)
- Shulian Wu
- 1 College of Photonic and Electronic Engineering, Fujian Normal University, Fujian Provincial Key Laboratory of Photonic Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fuzhou, China
| | - Yudian Huang
- 2 Department of Pathology, Fuzhou First Hospital Affiliated to Fujian Medical University, Fuzhou, China
| | - Zhifang Li
- 1 College of Photonic and Electronic Engineering, Fujian Normal University, Fujian Provincial Key Laboratory of Photonic Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fuzhou, China
| | - Huaqing Wu
- 1 College of Photonic and Electronic Engineering, Fujian Normal University, Fujian Provincial Key Laboratory of Photonic Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fuzhou, China
| | - Hui Li
- 1 College of Photonic and Electronic Engineering, Fujian Normal University, Fujian Provincial Key Laboratory of Photonic Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fuzhou, China
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25
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Second-harmonic patterned polarization-analyzed reflection confocal microscopy of stromal collagen in benign and malignant breast tissues. Sci Rep 2018; 8:16243. [PMID: 30389994 PMCID: PMC6214917 DOI: 10.1038/s41598-018-34693-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Accepted: 10/23/2018] [Indexed: 01/30/2023] Open
Abstract
We present the results of polarimetric analysis of collagen on varying pathologies of breast tissues using second-harmonic patterned polarization-analyzed reflection confocal (SPPARC) microscopy. Experiments are conducted on a breast tissue microarray having benign tissues (BT), malignant invasive lobular carcinoma (ILC), and benign stroma adjacent to the malignant tissues (called the benign adjacent tissue, or BAT). Stroma in BAT and ILC exhibit the largest parameter differences. We observe that stromal collagen readings in ILC show lower depolarization, lower diattenuation and higher linear degree-of-polarization values than stromal collagen in BAT. This suggests that the optical properties of collagen change most in the vicinity of tumors. A similar trend is also exhibited in the non-collagenous extrafibrillar matrix plus cells (EFMC) region. The three highlighted parameters show greatest sensitivity to changes in the polarization response of collagen between pathologies.
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26
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Ricard-Blum S, Baffet G, Théret N. Molecular and tissue alterations of collagens in fibrosis. Matrix Biol 2018; 68-69:122-149. [DOI: 10.1016/j.matbio.2018.02.004] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 02/02/2018] [Accepted: 02/02/2018] [Indexed: 02/07/2023]
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27
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Natal RA, Vassallo J, Paiva GR, Pelegati VB, Barbosa GO, Mendonça GR, Bondarik C, Derchain SF, Carvalho HF, Lima CS, Cesar CL, Sarian LO. Collagen analysis by second-harmonic generation microscopy predicts outcome of luminal breast cancer. Tumour Biol 2018; 40:1010428318770953. [DOI: 10.1177/1010428318770953] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Second-harmonic generation microscopy represents an important tool to evaluate extracellular matrix collagen structure, which undergoes changes during cancer progression. Thus, it is potentially relevant to assess breast cancer development. We propose the use of second-harmonic generation images of tumor stroma selected on hematoxylin and eosin–stained slides to evaluate the prognostic value of collagen fibers analyses in peri and intratumoral areas in patients diagnosed with invasive ductal breast carcinoma. Quantitative analyses of collagen parameters were performed using ImageJ software. These parameters presented significantly higher values in peri than in intratumoral areas. Higher intratumoral collagen uniformity was associated with high pathological stages and with the presence of axillary lymph node metastasis. In patients with immunohistochemistry-based luminal subtype, higher intratumoral collagen uniformity and quantity were independently associated with poorer relapse-free and overall survival, respectively. A multivariate response recursive partitioning model determined 12.857 and 11.894 as the best cut-offs for intratumoral collagen quantity and uniformity, respectively. These values have shown high sensitivity and specificity to differentiate distinct outcomes. Values of intratumoral collagen quantity and uniformity exceeding the cut-offs were strongly associated with poorer relapse-free and overall survival. Our findings support a promising prognostic value of quantitative evaluation of intratumoral collagen by second-harmonic generation imaging mainly in the luminal subtype breast cancer.
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Affiliation(s)
- Rodrigo A Natal
- Laboratory of Investigative and Molecular Pathology, Center for Investigation in Pediatrics (CIPED), Faculty of Medical Sciences, State University of Campinas, Campinas, Brazil
| | - José Vassallo
- Laboratory of Investigative and Molecular Pathology, Center for Investigation in Pediatrics (CIPED), Faculty of Medical Sciences, State University of Campinas, Campinas, Brazil
- Department of Anatomic Pathology, A.C. Camargo Cancer Center, São Paulo, Brazil
| | - Geisilene R Paiva
- Laboratory of Experimental Pathology (LAPE), CAISM—Women’s Hospital, State University of Campinas, Campinas, Brazil
| | - Vitor B Pelegati
- Department of Quantum Eletronics, “Gleb Wataghin” Institute of Physics, State University of Campinas, Campinas, Brazil
- INFABIC—National Institute of Science and Technology on Photonics Applied to Cell Biology, Campinas, Brazil
| | - Guilherme O Barbosa
- Department of Structural and Functional Biology, Institute of Biology, State University of Campinas, Campinas, Brazil
| | - Guilherme R Mendonça
- Laboratory of Investigative and Molecular Pathology, Center for Investigation in Pediatrics (CIPED), Faculty of Medical Sciences, State University of Campinas, Campinas, Brazil
| | - Caroline Bondarik
- Laboratory of Investigative and Molecular Pathology, Center for Investigation in Pediatrics (CIPED), Faculty of Medical Sciences, State University of Campinas, Campinas, Brazil
| | - Sophie F Derchain
- Department of Obstetrics and Gynecology, Faculty of Medical Sciences and CAISM—Women’s Hospital, State University of Campinas, Campinas, São Paulo, Brazil
| | - Hernandes F Carvalho
- INFABIC—National Institute of Science and Technology on Photonics Applied to Cell Biology, Campinas, Brazil
- Department of Structural and Functional Biology, Institute of Biology, State University of Campinas, Campinas, Brazil
| | - Carmen S Lima
- Oncology Section, Department of Internal Medicine, Faculty of Medical Sciences, State University of Campinas, Campinas, São Paulo, Brazil
| | - Carlos L Cesar
- Department of Quantum Eletronics, “Gleb Wataghin” Institute of Physics, State University of Campinas, Campinas, Brazil
- INFABIC—National Institute of Science and Technology on Photonics Applied to Cell Biology, Campinas, Brazil
| | - Luís Otávio Sarian
- Department of Obstetrics and Gynecology, Faculty of Medical Sciences and CAISM—Women’s Hospital, State University of Campinas, Campinas, São Paulo, Brazil
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28
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Conklin MW, Gangnon RE, Sprague BL, Van Gemert L, Hampton JM, Eliceiri KW, Bredfeldt JS, Liu Y, Surachaicharn N, Newcomb PA, Friedl A, Keely PJ, Trentham-Dietz A. Collagen Alignment as a Predictor of Recurrence after Ductal Carcinoma In Situ. Cancer Epidemiol Biomarkers Prev 2018; 27:138-145. [PMID: 29141852 PMCID: PMC5809285 DOI: 10.1158/1055-9965.epi-17-0720] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Revised: 09/26/2017] [Accepted: 11/01/2017] [Indexed: 12/29/2022] Open
Abstract
Background: Collagen fibers surrounding breast ducts may influence breast cancer progression. Syndecan-1 interacts with constituents in the extracellular matrix, including collagen fibers, and may contribute to cancer cell migration. Thus, the orientation of collagen fibers surrounding ductal carcinoma in situ (DCIS) lesions and stromal syndecan-1 expression may predict recurrence.Methods: We evaluated collagen fiber alignment and syndecan-1 expression in 227 women diagnosed with DCIS in 1995 to 2006 followed through 2014 (median, 14.5 years; range, 0.7-17.6). Stromal collagen alignment was evaluated from diagnostic tissue slides using second harmonic generation microscopy and fiber analysis software. Univariate analysis was conducted using χ2 tests and ANOVA. The association between collagen alignment z-scores, syndecan-1 staining intensity, and time to recurrence was evaluated using HRs and 95% confidence intervals (CIs).Results: Greater fiber angles surrounding DCIS lesions, but not syndecan-1 staining intensity, were related to positive HER2 (P = 0.002) status, comedo necrosis (P = 0.03), and negative estrogen receptor (P = 0.002) and progesterone receptor (P = 0.02) status. Fiber angle distributions surrounding lesions included more angles closer to 90 degrees than normal ducts (P = 0.06). Collagen alignment z-scores for DCIS lesions were positively related to recurrence (HR = 1.25; 95% CI, 0.84-1.87 for an interquartile range increase in average fiber angles).Conclusions: Although collagen alignment and stromal syndecan-1 expression did not predict recurrence, collagen fibers perpendicular to the duct perimeter were more frequent in DCIS lesions with features typical of poor prognosis.Impact: Follow-up studies are warranted to examine whether additional features of the collagen matrix may more strongly predict patient outcomes. Cancer Epidemiol Biomarkers Prev; 27(2); 138-45. ©2017 AACR.
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Affiliation(s)
- Matthew W Conklin
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin
- Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin
| | - Ronald E Gangnon
- Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin
- Department of Population Health Sciences, University of Wisconsin-Madison, Madison, Wisconsin
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin
| | - Brian L Sprague
- Department of Surgery, University of Vermont, Burlington, Vermont
| | - Lisa Van Gemert
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin
| | - John M Hampton
- Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin
- Department of Population Health Sciences, University of Wisconsin-Madison, Madison, Wisconsin
| | - Kevin W Eliceiri
- Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin
- Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, Wisconsin
| | - Jeremy S Bredfeldt
- Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, Wisconsin
| | - Yuming Liu
- Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, Wisconsin
| | - Nuntida Surachaicharn
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin
| | | | - Andreas Friedl
- Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin
| | | | - Amy Trentham-Dietz
- Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin.
- Department of Population Health Sciences, University of Wisconsin-Madison, Madison, Wisconsin
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29
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Robinson KG, Scott RA, Hesek AM, Woodford EJ, Amir W, Planchon TA, Kiick KL, Akins RE. Reduced arterial elasticity due to surgical skeletonization is ameliorated by abluminal PEG hydrogel. Bioeng Transl Med 2017; 2:222-232. [PMID: 28932820 PMCID: PMC5579730 DOI: 10.1002/btm2.10060] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Revised: 02/15/2017] [Accepted: 03/06/2017] [Indexed: 12/17/2022] Open
Abstract
Arteries for bypass grafting are harvested either with neighboring tissue attached or as skeletonized vessels that are free of surrounding tissue. There are significant benefits to skeletonization, but reports suggest that skeletonized vessels may develop structural defects and are at risk for atherosclerosis. We investigated the specific short‐term effects of skeletonization on carotid artery biomechanics and microanatomy in a rabbit model. Six carotid arteries were surgically skeletonized. To support healing, three of these received polyethylene glycol hydrogel injected along their exterior surfaces. M‐mode ultrasonography was used to track circumferential cyclic strain in the skeletonized, hydrogel‐treated, and contralateral vessels. On day 21, the arteries were harvested, and vessel structure was assessed by histology, immunofluorescence microscopy, two‐photon elastin autofluorescence, and second harmonic generation (SHG) microscopy. Intimal‐medial thickness appeared unaffected by skeletonization, but the SHG signals indicated significant changes in collagen turnover in the adventitia. Skeletonized arteries also exhibited significantly decreased radial compliance (circumferential cyclic strain dropped ∼30%) and decreased numbers of elastic laminae (9.1 ± 2.0 to 2.3 ± 1.4). Hydrogel treatment protected against these effects with treated vessels maintaining normal mechanical properties. These results indicate that arterial skeletonization triggers immediate effects on vessel remodeling and reduced vessel compliance resulting in specific tissue alterations within 21 days, but that these effects can be attenuated by the placement of hydrogel on the exterior surface of the skeletonized vessel.
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Affiliation(s)
- Karyn G Robinson
- Nemours - Alfred I. duPont Hospital for Children Wilmington DE1 9803
| | - Rebecca A Scott
- Nemours - Alfred I. duPont Hospital for Children Wilmington DE1 9803.,Dept. of Materials Science & Engineering University of Delaware Newark DE 19716
| | - Anne M Hesek
- Nemours - Alfred I. duPont Hospital for Children Wilmington DE1 9803
| | - Edward J Woodford
- Nemours - Alfred I. duPont Hospital for Children Wilmington DE1 9803
| | - Wafa Amir
- Dept. of Physics and Engineering, Optical Science Center for Applied Research Delaware State University Dover DE 19901
| | - Thomas A Planchon
- Dept. of Physics and Engineering, Optical Science Center for Applied Research Delaware State University Dover DE 19901
| | - Kristi L Kiick
- Nemours - Alfred I. duPont Hospital for Children Wilmington DE1 9803.,Dept. of Materials Science & Engineering University of Delaware Newark DE 19716.,Dept. of Biomedical Engineering University of Delaware Newark DE 19716
| | - Robert E Akins
- Nemours - Alfred I. duPont Hospital for Children Wilmington DE1 9803.,Dept. of Materials Science & Engineering University of Delaware Newark DE 19716.,Dept. of Biomedical Engineering University of Delaware Newark DE 19716
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