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Fujimoto H, Yoshihara M, Rodgers R, Iyoshi S, Mogi K, Miyamoto E, Hayakawa S, Hayashi M, Nomura S, Kitami K, Uno K, Sugiyama M, Koya Y, Yamakita Y, Nawa A, Enomoto A, Ricciardelli C, Kajiyama H. Tumor-associated fibrosis: a unique mechanism promoting ovarian cancer metastasis and peritoneal dissemination. Cancer Metastasis Rev 2024; 43:1037-1053. [PMID: 38546906 PMCID: PMC11300578 DOI: 10.1007/s10555-024-10169-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 01/11/2024] [Indexed: 08/06/2024]
Abstract
Epithelial ovarian cancer (EOC) is often diagnosed in advanced stage with peritoneal dissemination. Recent studies indicate that aberrant accumulation of collagen fibers in tumor stroma has a variety of effects on tumor progression. We refer to remodeled fibrous stroma with altered expression of collagen molecules, increased stiffness, and highly oriented collagen fibers as tumor-associated fibrosis (TAF). TAF contributes to EOC cell invasion and metastasis in the intraperitoneal cavity. However, an understanding of molecular events involved is only just beginning to emerge. Further development in this field will lead to new strategies to treat EOC. In this review, we focus on the recent findings on how the TAF contributes to EOC malignancy. Furthermore, we will review the recent initiatives and future therapeutic strategies for targeting TAF in EOC.
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Affiliation(s)
- Hiroki Fujimoto
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Discipline of Obstetrics and Gynaecology, Adelaide Medical School, Robinson Research Institute, University of Adelaide, Adelaide, Australia
| | - Masato Yoshihara
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
| | - Raymond Rodgers
- School of Biomedicine, Robinson Research Institute, The University of Adelaide, Adelaide, Australia
| | - Shohei Iyoshi
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Spemann Graduate School of Biology and Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Kazumasa Mogi
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Emiri Miyamoto
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Sae Hayakawa
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Maia Hayashi
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Satoshi Nomura
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kazuhisa Kitami
- Department of Obstetrics and Gynaecology, Kitasato University School of Medicine, Sagamihara, Japan
| | - Kaname Uno
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University Graduate School of Medicine, Lund, Sweden
| | - Mai Sugiyama
- Bell Research Center-Department of Obstetrics and Gynaecology Collaborative Research, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoshihiro Koya
- Bell Research Center-Department of Obstetrics and Gynaecology Collaborative Research, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoshihiko Yamakita
- Bell Research Center-Department of Obstetrics and Gynaecology Collaborative Research, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Akihiro Nawa
- Bell Research Center-Department of Obstetrics and Gynaecology Collaborative Research, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Atsushi Enomoto
- Department of Pathology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Carmela Ricciardelli
- Discipline of Obstetrics and Gynaecology, Adelaide Medical School, Robinson Research Institute, University of Adelaide, Adelaide, Australia.
| | - Hiroaki Kajiyama
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Gant KL, Patankar MS, Campagnola PJ. A Perspective Review: Analyzing Collagen Alterations in Ovarian Cancer by High-Resolution Optical Microscopy. Cancers (Basel) 2024; 16:1560. [PMID: 38672642 PMCID: PMC11048585 DOI: 10.3390/cancers16081560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 04/10/2024] [Accepted: 04/11/2024] [Indexed: 04/28/2024] Open
Abstract
High-grade serous ovarian cancer (HGSOC) is the predominant subtype of ovarian cancer (OC), occurring in more than 80% of patients diagnosed with this malignancy. Histological and genetic analysis have confirmed the secretory epithelial of the fallopian tube (FT) as a major site of origin of HGSOC. Although there have been significant strides in our understanding of this disease, early stage detection and diagnosis are still rare. Current clinical imaging modalities lack the ability to detect early stage pathogenesis in the fallopian tubes and the ovaries. However, there are several microscopic imaging techniques used to analyze the structural modifications in the extracellular matrix (ECM) protein collagen in ex vivo FT and ovarian tissues that potentially can be modified to fit the clinical setting. In this perspective, we evaluate and compare the myriad of optical tools available to visualize these alterations and the invaluable insights these data provide on HGSOC initiation. We also discuss the clinical implications of these findings and how these data may help novel tools for early diagnosis of HGSOC.
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Affiliation(s)
- Kristal L. Gant
- Department of Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, WI 53706, USA;
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Manish S. Patankar
- Department of Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, WI 53706, USA;
- Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Paul J. Campagnola
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
- Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI 53706, USA
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Schnelldorfer T, Gnanatheepam E, Trout R, Gado A, Pelletier JE, Dinh LT, Hunter M, Georgakoudi I. Evaluation of a polarization-enhanced laparoscopy prototype for improved intra-operative visualization of peritoneal metastases. Sci Rep 2023; 13:14892. [PMID: 37689765 PMCID: PMC10492843 DOI: 10.1038/s41598-023-41361-5] [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: 12/16/2022] [Accepted: 08/25/2023] [Indexed: 09/11/2023] Open
Abstract
Despite careful staging, the accuracy for preoperative detection of small distant metastases remains poor, creating a clinical need for enhanced operative staging to detect occult peritoneal metastases. This study evaluates a polarization-enhanced laparoscopy (PEL) prototype and assesses its potential for label-free contrast enhancement of peritoneal metastases. This is a first-in-human feasibility study, including 10 adult patients who underwent standard staging laparoscopy (SSL) for gastrointestinal malignancy along with PEL. Image frames of all detectable peritoneal lesions underwent analysis. Using Monte Carlo simulations, contrast enhancement based on the color dependence of PEL (mPEL) was assessed. The prototype performed safely, yet with limitations in illumination, fogging of the distal window, and image co-registration. Sixty-five lesions (56 presumed benign and 9 presumed malignant) from 3 patients represented the study sample. While most lesions were visible under human examination of both SSL and PEL videos, more lesions were apparent using SSL. However, this was likely due to reduced illumination under PEL. When controlling for such effects through direct comparisons of integrated (WLL) vs differential (PEL) polarization laparoscopy images, we found that PEL imaging yielded an over twofold Weber contrast enhancement over WLL. Further, enhancements in the discrimination between malignant and benign lesions were achieved by exploiting the PEL color contrast to enhance sensitivity to tissue scattering, influenced primarily by collagen. In conclusion, PEL appears safe and easy to integrate into the operating room. When controlling for the degree of illumination, image analysis suggested a potential for mPEL to provide improved visualization of metastases.
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Affiliation(s)
- Thomas Schnelldorfer
- Division of Surgical Oncology, Tufts Medical Center, 800 Washington St, Boston, MA, 02111, USA.
- Department of Translational Research, Lahey Hospital and Medical Center, 31 Mall Road, Burlington, MA, 01805, USA.
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA.
| | - Einstein Gnanatheepam
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
| | - Robert Trout
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
- Department of Biomedical Engineering, Duke University, 101 Science Drive, Durham, NC, 27708, USA
| | - Ahmed Gado
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
- Google LLC, San Francisco, CA, 94105-1673, USA
| | - Joyce-Ellen Pelletier
- Department of Translational Research, Lahey Hospital and Medical Center, 31 Mall Road, Burlington, MA, 01805, USA
| | - Long T Dinh
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
| | - Martin Hunter
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
- Department of Biomedical Engineering, S684 LSL, University of Massachusetts at Amherst, 240 Thatcher Road, Amherst, MA, 01003, USA
| | - Irene Georgakoudi
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
- Genetics, Molecular and Cellular Biology Program, Graduate School of Biomedical Sciences, Tufts University, Boston, MA, 02111, USA
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Alkmin S, Patankar MS, Campagnola PJ. Assessing the roles of collagen fiber morphology and matrix stiffness on ovarian cancer cell migration dynamics using multiphoton fabricated orthogonal image-based models. Acta Biomater 2022; 153:342-354. [PMID: 36152908 PMCID: PMC10324295 DOI: 10.1016/j.actbio.2022.09.037] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 08/24/2022] [Accepted: 09/15/2022] [Indexed: 11/01/2022]
Abstract
Ovarian cancer remains the deadliest of the gynecological cancers, where this arises from poor screening and imaging tools that can detect early disease, and also limited understanding of the structural and functional aspects of the tumor microenvironment. To gain insight into the underlying cellular dynamics, we have used multiphoton excited fabrication to create Second Harmonic Generation (SHG) image-based orthogonal models from collagen/GelMA that represent both the collagen matrix morphology and stiffness (∼2-8 kPa) of normal ovarian stroma and high grade serous ovarian cancers (HGSOC). These scaffolds are used to study migration/cytoskeletal dynamics of normal (IOSE) and ovarian cancer (OVCA433) cell lines. We found that the highly aligned fiber morphology of HGSOC promotes aspects of motility (motility coefficient, motility, and focal adhesion expression) through a contact guidance mechanism and that stiffer matrix further promotes these same processes through a mechanosensitive mechanism, where these trends were similar for both normal and cancer cells. However, cell specific differences were found on these orthogonal models relative to those providing only morphology, showing the importance of presenting both morphology and stiffness cues. Moreover, we found increased cadherin expression and decreased cell alignment only for cancer cells on scaffolds of intermediate modulus suggesting different stiffness-dependent mechanotransduction mechanisms are engaged. This overall approach affords decoupling the roles of matrix morphology, stiffness and cell genotype and affords hypothesis testing of the factors giving rise to disease progression and metastasis. Further, more established fabrication techniques cannot simultaneously reproduce both the 3D collagen fiber morphology and stiffness. STATEMENT OF SIGNIFICANCE: Ovarian cancer metastasizes when lesions are small, where cells exfoliate from the surface of the ovary and reattach at distal sites in the peritoneum. The adhesion/migration dynamics are not well understood and there is a need for new 3D in vitro models of the extracellular matrix to study the biology. Here we use multiphoton excited crosslinking to fabricate ECM orthogonal models that represent the collagen morphology and stiffness in human ovarian tissues. These are then used to study ovarian cancer cell migration dynamics and we found that contact guidance and a mechanosensitive response and cell genotype all combine to affect the behavior. These models provide insight into disease etiology and progression not readily possible by other fabrication methods.
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Affiliation(s)
- Samuel Alkmin
- Department of Biomedical Engineering, University of Wisconsin-Madison, 1550 Engineering Drive, Madison, WI 53706, USA
| | - Manish S Patankar
- Department of Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, WI 53706, USA; Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Paul J Campagnola
- Department of Biomedical Engineering, University of Wisconsin-Madison, 1550 Engineering Drive, Madison, WI 53706, USA; Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI 53706, USA.
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Qian S, Wang G, Meng J, Jiang S, Zhou L, Lu J, Ding Z, Zhuo S, Liu Z. Identification of human ovarian cancer relying on collagen fiber coverage features by quantitative second harmonic generation imaging. OPTICS EXPRESS 2022; 30:25718-25733. [PMID: 36237096 DOI: 10.1364/oe.452767] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Accepted: 06/15/2022] [Indexed: 06/16/2023]
Abstract
Ovarian cancer has the highest mortality rate among all gynecological cancers, containing complicated heterogeneous histotypes, each with different treatment plans and prognoses. The lack of screening test makes new perspectives for the biomarker of ovarian cancer of great significance. As the main component of extracellular matrix, collagen fibers undergo dynamic remodeling caused by neoplastic activity. Second harmonic generation (SHG) enables label-free, non-destructive imaging of collagen fibers with submicron resolution and deep sectioning. In this study, we developed a new metric named local coverage to quantify morphologically localized distribution of collagen fibers and combined it with overall density to characterize 3D SHG images of collagen fibers from normal, benign and malignant human ovarian biopsies. An overall diagnosis accuracy of 96.3% in distinguishing these tissue types made local and overall density signatures a sensitive biomarker of tumor progression. Quantitative, multi-parametric SHG imaging might serve as a potential screening test tool for ovarian cancer.
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Morandi A, Savo R, Müller JS, Reichen S, Grange R. Multiple Scattering and Random Quasi-Phase-Matching in Disordered Assemblies of LiNbO 3 Nanocubes. ACS PHOTONICS 2022; 9:1882-1888. [PMID: 35726238 PMCID: PMC9205311 DOI: 10.1021/acsphotonics.2c00210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Indexed: 06/04/2023]
Abstract
Nonlinear disordered photonic media (NDPM), composed of a random configuration of noncentrosymmetric crystals, offer a versatile platform to tailor nonlinear optical effects. The second-harmonic generation (SHG) and its random quasi-phase-matching (RQPM) in the multiple scattering regime are still poorly explored. In this work, we bottom-up assemble NDPM in two different geometries by using LiNbO3 nanocubes as building blocks and investigate both the multiple scattering and the nonlinear properties. We produce disordered slabs with a continuously variable thickness and microspheres with different diameters, which display a remarkable strong light scattering, evidenced by a subwavelength transport mean free path (). We first provide explicit evidence that the SHG power scales linearly with both the thickness of the slab and the volume of the microspheres. These observations generalize the characteristic linear scaling of RQPM power with the volume to the multiple scattering regime and to different sample geometries. Our structures represent a promising platform to investigate the interplay between disorder and optical nonlinear effects.
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Gant KL, Jambor AN, Li Z, Rentchler EC, Weisman P, Li L, Patankar MS, Campagnola PJ. Evaluation of Collagen Alterations in Early Precursor Lesions of High Grade Serous Ovarian Cancer by Second Harmonic Generation Microscopy and Mass Spectrometry. Cancers (Basel) 2021; 13:cancers13112794. [PMID: 34199725 PMCID: PMC8200041 DOI: 10.3390/cancers13112794] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 05/24/2021] [Accepted: 05/27/2021] [Indexed: 11/16/2022] Open
Abstract
Simple Summary The collagen architecture in the extracellular matrix (ECM) is highly remodeled in high grade serous ovarian cancer (HGSOC). Many of these tumors begin in the fallopian tubes (FT) before metastasizing to the ovaries and it is important to study ECM alterations in carcinogenesis. Here, we used Second Harmonic Generation (SHG) microscopy to classify changes in the collagen fiber morphology in normal FT, and precursor pure p53 signatures and serous tubal intraepithelial carcinoma (STICs) in tissues with no HGSOC. Using a machine learning approach based on image features, we were able to discriminate the tissue groups with good classification accuracy. We additionally performed mass spectrometry analysis of normal and HGSOC tissues to associate the differential expression of collagen isoforms with fiber morphology alterations. This work provides new insights into ECM remodeling in early stage HGSOC and suggests the combined use of SHG microscopy and mass spectrometry as a new diagnostic/prognostic approach. Abstract Background: The collagen architecture in high grade serous ovarian cancer (HGSOC) is highly remodeled compared to the normal ovary and the fallopian tubes (FT). We previously used Second Harmonic Generation (SHG) microscopy and machine learning to classify the changes in collagen fiber morphology occurring in serous tubal intraepithelial carcinoma (STIC) lesions that are concurrent with HGSOC. We now extend these studies to examine collagen remodeling in pure p53 signatures, STICs and normal regions in tissues that have no concurrent HGSOC. This is an important distinction as high-grade disease can result in distant collagen changes through a field effect mechanism. Methods: We trained a linear discriminant model based on SHG texture and image features as a classifier to discriminate the tissue groups. We additionally performed mass spectrometry analysis of normal and HGSOC tissues to associate the differential expression of collagen isoforms with collagen fiber morphology alterations. Results: We quantified the differences in the collagen architecture between normal tissue and the precursors with good classification accuracy. Through proteomic analysis, we identified the downregulation of single α-chains including those for Col I and III, where these results are consistent with our previous SHG-based supramolecular analyses. Conclusion: This work provides new insights into ECM remodeling in early ovarian cancer and suggests the combined use of SHG microscopy and mass spectrometry as a new diagnostic/prognostic approach.
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Affiliation(s)
- Kristal L. Gant
- Department of Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, WI 53706, USA;
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA; (A.N.J.); (E.C.R.)
| | - Alexander N. Jambor
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA; (A.N.J.); (E.C.R.)
| | - Zihui Li
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA; (Z.L.); (L.L.)
| | - Eric C. Rentchler
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA; (A.N.J.); (E.C.R.)
| | - Paul Weisman
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA;
- Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA; (Z.L.); (L.L.)
- Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI 53706, USA
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Manish S. Patankar
- Department of Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, WI 53706, USA;
- Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI 53706, USA
- Correspondence: (M.S.P.); (P.J.C.)
| | - Paul J. Campagnola
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA; (A.N.J.); (E.C.R.)
- Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI 53706, USA
- Correspondence: (M.S.P.); (P.J.C.)
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Tilbury K, Han X, Brooks PC, Khalil A. Multiscale anisotropy analysis of second-harmonic generation collagen imaging of mouse skin. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-210044R. [PMID: 34159763 PMCID: PMC8217961 DOI: 10.1117/1.jbo.26.6.065002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 04/19/2021] [Indexed: 06/13/2023]
Abstract
SIGNIFICANCE Morphological collagen signatures are important for tissue function, particularly in the tumor microenvironment. A single algorithmic framework with quantitative, multiscale morphological collagen feature extraction may further the use of collagen signatures in understanding fundamental tumor progression. AIM A modification of the 2D wavelet transform modulus maxima (WTMM) anisotropy method was applied to both digitally simulated collagen fibers and second-harmonic-generation imaged collagen fibers of mouse skin to calculate a multiscale anisotropy factor to detect collagen fiber organization. APPROACH The modified 2D WTMM anisotropy method was initially validated on synthetic calibration images to establish the robustness and sensitivity of the multiscale fiber organization tool. Upon validation, the algorithm was applied to collagen fiber organization in normal wild-type skin, melanoma stimulated skin, and integrin α10KO skin. RESULTS Normal wild-type skin collagen fibers have an increased anisotropy factor at all sizes scales. Interestingly, the multiscale anisotropy differences highlight important dissimilarities between collagen fiber organization in normal wild-type skin, melanoma stimulated, and integrin α10KO skin. At small scales (∼2 to 3 μm), the integrin α10KO skin was vastly different than normal skin (p-value ∼ 10 - 8), whereas the melanoma stimulated skin was vastly different than normal at large scales (∼30 to 40 μm, p-value ∼ 10 - 15). CONCLUSIONS This objective computational collagen fiber organization algorithm is sensitive to collagen fiber organization across multiple scales for effective exploration of collagen morphological alterations associated with melanoma and the lack of α10 integrin binding.
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Affiliation(s)
- Karissa Tilbury
- University of Maine, Chemical and Biomedical Engineering, Orono, Maine, United States
| | - XiangHua Han
- Maine Medical Center Research Institute, Scarborough, Maine, United States
| | - Peter C. Brooks
- Maine Medical Center Research Institute, Scarborough, Maine, United States
| | - Andre Khalil
- University of Maine, Chemical and Biomedical Engineering, Orono, Maine, United States
- University of Maine, CompuMAINE Lab., Orono, Maine, United States
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James DS, Brereton CJ, Davies DE, Jones MG, Campagnola PJ. Examining lysyl oxidase-like modulation of collagen architecture in 3D spheroid models of idiopathic pulmonary fibrosis via second-harmonic generation microscopy. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-210062R. [PMID: 34145800 PMCID: PMC8212879 DOI: 10.1117/1.jbo.26.6.066501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 05/27/2021] [Indexed: 06/12/2023]
Abstract
SIGNIFICANCE Idiopathic pulmonary fibrosis (IPF) patients have a poor prognosis with short lifespan following diagnosis as there are limited effective treatment options. Despite matrix stiffening being the hallmark of the disease there remains a lack of knowledge surrounding the underlying collagen alterations in the disease. Specifically, while increased collagen crosslinking has been implicated, the resulting effects on collagen macro/supramolecular changes have not been explored. AIM We sought to determine if second-harmonic generation (SHG) microscopy could characterize differences in the collagen architecture in 3D spheroid models of IPF grown under different crosslinking modulation conditions (promotion and inhibition). APPROACH We used SHG metrics based on the fiber morphology, relative SHG brightness, and macro/supramolecular structure by SHG polarization analyses to compare the structure of the IPF spheroids. RESULTS Comparison of the fiber morphology of the spheroids showed that the control group had the longest, straightest, and thickest fibers. The spheroids with crosslink enhancement and inhibition had the highest and lowest SHG conversion efficiencies, respectively, consistent with the resulting harmonophore density. SHG polarization analyses showed that the peptide pitch angle, alignment of collagen molecules, and overall chirality were altered upon crosslink modulation and were also consistent with reduced organization relative to the control group. CONCLUSIONS While no single SHG signature is associated with crosslinking, we show that the suite of metrics used here is effective in delineating alterations across the collagen architecture sizescales. The results largely mirror those of human tissues and demonstrate that the combination of 3D spheroid models and SHG analysis is a powerful approach for hypothesis testing the roles of operative cellular and molecular factors in IPF.
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Affiliation(s)
- Darian S. James
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | - Christopher J. Brereton
- University of Southampton, Clinical and Experimental Sciences, Faculty of Medicine, Southampton, United Kingdom
- University Hospital Southampton, National Institute for Health Research Southampton Biomedical Research Centre, Southampton, United Kingdom
- University of Southampton, Institute for Life Sciences, Southampton, United Kingdom
| | - Donna E. Davies
- University of Southampton, Clinical and Experimental Sciences, Faculty of Medicine, Southampton, United Kingdom
- University Hospital Southampton, National Institute for Health Research Southampton Biomedical Research Centre, Southampton, United Kingdom
- University of Southampton, Institute for Life Sciences, Southampton, United Kingdom
| | - Mark G. Jones
- University of Southampton, Clinical and Experimental Sciences, Faculty of Medicine, Southampton, United Kingdom
- University Hospital Southampton, National Institute for Health Research Southampton Biomedical Research Centre, Southampton, United Kingdom
- University of Southampton, Institute for Life Sciences, Southampton, United Kingdom
| | - Paul J. Campagnola
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
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Contractility, focal adhesion orientation, and stress fiber orientation drive cancer cell polarity and migration along wavy ECM substrates. Proc Natl Acad Sci U S A 2021; 118:2021135118. [PMID: 34031242 DOI: 10.1073/pnas.2021135118] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Contact guidance is a powerful topographical cue that induces persistent directional cell migration. Healthy tissue stroma is characterized by a meshwork of wavy extracellular matrix (ECM) fiber bundles, whereas metastasis-prone stroma exhibit less wavy, more linear fibers. The latter topography correlates with poor prognosis, whereas more wavy bundles correlate with benign tumors. We designed nanotopographic ECM-coated substrates that mimic collagen fibril waveforms seen in tumors and healthy tissues to determine how these nanotopographies may regulate cancer cell polarization and migration machineries. Cell polarization and directional migration were inhibited by fibril-like wave substrates above a threshold amplitude. Although polarity signals and actin nucleation factors were required for polarization and migration on low-amplitude wave substrates, they did not localize to cell leading edges. Instead, these factors localized to wave peaks, creating multiple "cryptic leading edges" within cells. On high-amplitude wave substrates, retrograde flow from large cryptic leading edges depolarized stress fibers and focal adhesions and inhibited cell migration. On low-amplitude wave substrates, actomyosin contractility overrode the small cryptic leading edges and drove stress fiber and focal adhesion orientation along the wave axis to mediate directional migration. Cancer cells of different intrinsic contractility depolarized at different wave amplitudes, and cell polarization response to wavy substrates could be tuned by manipulating contractility. We propose that ECM fibril waveforms with sufficiently high amplitude around tumors may serve as "cell polarization barriers," decreasing directional migration of tumor cells, which could be overcome by up-regulation of tumor cell contractility.
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de Andrade Natal R, Adur J, Cesar CL, Vassallo J. Tumor extracellular matrix: lessons from the second-harmonic generation microscopy. SURGICAL AND EXPERIMENTAL PATHOLOGY 2021. [DOI: 10.1186/s42047-021-00089-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
AbstractExtracellular matrix (ECM) represents more than a mere intercellular cement. It is physiologically active in cell communication, adhesion and proliferation. Collagen is the most abundant protein, making up to 90% of ECM, and 30% of total protein weight in humans. Second-harmonic generation (SHG) microscopy represents an important tool to study collagen organization of ECM in freshly unfixed tissues and paraffin-embedded tissue samples. This manuscript aims to review some of the applications of SHG microscopy in Oncologic Pathology, mainly in the study of ECM of epithelial tumors. It is shown how collagen parameters measured by this technique can aid in the differential diagnosis and in prognostic stratification. There is a tendency to associate higher amount, lower organization and higher linearity of collagen fibers with tumor progression and metastasizing. These represent complex processes, in which matrix remodeling plays a central role, together with cancer cell genetic modifications. Integration of studies on cancer cell biology and ECM are highly advantageous to give us a more complete picture of these processes. As microscopic techniques provide topographic information allied with biologic characteristics of tissue components, they represent important tools for a more complete understanding of cancer progression. In this context, SHG has provided significant insights in human tumor specimens, readily available for Pathologists.
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Ouellette JN, Drifka CR, Pointer KB, Liu Y, Lieberthal TJ, Kao WJ, Kuo JS, Loeffler AG, Eliceiri KW. Navigating the Collagen Jungle: The Biomedical Potential of Fiber Organization in Cancer. Bioengineering (Basel) 2021; 8:17. [PMID: 33494220 PMCID: PMC7909776 DOI: 10.3390/bioengineering8020017] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 01/10/2021] [Accepted: 01/13/2021] [Indexed: 02/07/2023] Open
Abstract
Recent research has highlighted the importance of key tumor microenvironment features, notably the collagen-rich extracellular matrix (ECM) in characterizing tumor invasion and progression. This led to great interest from both basic researchers and clinicians, including pathologists, to include collagen fiber evaluation as part of the investigation of cancer development and progression. Fibrillar collagen is the most abundant in the normal extracellular matrix, and was revealed to be upregulated in many cancers. Recent studies suggested an emerging theme across multiple cancer types in which specific collagen fiber organization patterns differ between benign and malignant tissue and also appear to be associated with disease stage, prognosis, treatment response, and other clinical features. There is great potential for developing image-based collagen fiber biomarkers for clinical applications, but its adoption in standard clinical practice is dependent on further translational and clinical evaluations. Here, we offer a comprehensive review of the current literature of fibrillar collagen structure and organization as a candidate cancer biomarker, and new perspectives on the challenges and next steps for researchers and clinicians seeking to exploit this information in biomedical research and clinical workflows.
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Affiliation(s)
- Jonathan N. Ouellette
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA; (J.N.O.); (C.R.D.); (T.J.L.); (W.J.K.)
- Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI 53706, USA; (K.B.P.); (Y.L.)
| | - Cole R. Drifka
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA; (J.N.O.); (C.R.D.); (T.J.L.); (W.J.K.)
- Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI 53706, USA; (K.B.P.); (Y.L.)
| | - Kelli B. Pointer
- Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI 53706, USA; (K.B.P.); (Y.L.)
| | - Yuming Liu
- Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI 53706, USA; (K.B.P.); (Y.L.)
| | - Tyler J Lieberthal
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA; (J.N.O.); (C.R.D.); (T.J.L.); (W.J.K.)
| | - W John Kao
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA; (J.N.O.); (C.R.D.); (T.J.L.); (W.J.K.)
- Department of Industrial and Manufacturing Systems Engineering, Faculty of Engineering, University of Hong Kong, Pokfulam, Hong Kong
| | - John S. Kuo
- Department of Neurosurgery, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA;
| | - Agnes G. Loeffler
- Department of Pathology, MetroHealth Medical Center, Cleveland, OH 44109, USA;
| | - Kevin W. Eliceiri
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA; (J.N.O.); (C.R.D.); (T.J.L.); (W.J.K.)
- Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI 53706, USA; (K.B.P.); (Y.L.)
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI 53705, USA
- Morgridge Institute for Research, Madison, WI 53715, USA
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13
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Wang G, Sun Y, Chen Y, Gao Q, Peng D, Lin H, Zhan Z, Liu Z, Zhuo S. Rapid identification of human ovarian cancer in second harmonic generation images using radiomics feature analyses and tree-based pipeline optimization tool. JOURNAL OF BIOPHOTONICS 2020; 13:e202000050. [PMID: 32500634 DOI: 10.1002/jbio.202000050] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 05/15/2020] [Accepted: 05/28/2020] [Indexed: 06/11/2023]
Abstract
Ovarian cancer is currently one of the most common cancers of the female reproductive organs, and its mortality rate is the highest among all types of gynecologic cancers. Rapid and accurate classification of ovarian cancer plays an important role in the determination of treatment plans and prognoses. Nevertheless, the most commonly used classification method is based on histopathological specimen examination, which is time-consuming and labor-intensive. Thus, in this study, we utilize radiomics feature extraction methods and the automated machine learning tree-based pipeline optimization tool (TOPT) for analysis of 3D, second harmonic generation images of benign, malignant and normal human ovarian tissues, to develop a high-efficiency computer-aided diagnostic model. Area under the receiver operating characteristic curve values of 0.98, 0.96 and 0.94 were obtained, respectively, for the classification of the three tissue types. Furthermore, this approach can be readily applied to other related tissues and diseases, and has great potential for improving the efficiency of medical diagnostic processes.
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Affiliation(s)
- Guangxing Wang
- School of Science, Jimei University, Xiamen, Fujian, China
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education & Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China
| | - Yang Sun
- Department of Gynecology, Fujian Cancer Hospital, Affiliated Cancer Hospital of Fujian Medical University, Fuzhou, Fujian, China
| | - Youting Chen
- Department of Hepatopancreatobiliary Surgery, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Qiqi Gao
- Department of Gynecology, Fujian Cancer Hospital, Affiliated Cancer Hospital of Fujian Medical University, Fuzhou, Fujian, China
| | - Dongqing Peng
- School of Science, Jimei University, Xiamen, Fujian, China
| | - Hongxin Lin
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education & Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China
| | - Zhenlin Zhan
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education & Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China
| | - Zhiyi Liu
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou Zhejiang, China
| | - Shuangmu Zhuo
- School of Science, Jimei University, Xiamen, Fujian, China
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education & Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China
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14
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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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15
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Role of Collagen Fiber Morphology on Ovarian Cancer Cell Migration Using Image-Based Models of the Extracellular Matrix. Cancers (Basel) 2020; 12:cancers12061390. [PMID: 32481580 PMCID: PMC7352517 DOI: 10.3390/cancers12061390] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 05/20/2020] [Accepted: 05/26/2020] [Indexed: 12/19/2022] Open
Abstract
Remodeling of the extracellular matrix (ECM) is an important part in the development and progression of many epithelial cancers. However, the biological significance of collagen alterations in ovarian cancer has not been well established. Here we investigated the role of collagen fiber morphology on cancer cell migration using tissue engineered scaffolds based on high-resolution Second-Harmonic Generation (SHG) images of ovarian tumors. The collagen-based scaffolds are fabricated by multiphoton excited (MPE) polymerization, which is a freeform 3D method affording submicron resolution feature sizes (~0.5 µm). This capability allows the replication of the collagen fiber architecture, where we constructed models representing normal stroma, high-risk tissue, benign tumors, and high-grade tumors. These were seeded with normal and ovarian cancer cell lines to investigate the separate roles of the cell type and matrix morphology on migration dynamics. The primary finding is that key cell–matrix interactions such as motility, cell spreading, f-actin alignment, focal adhesion, and cadherin expression are mainly determined by the collagen fiber morphology to a larger extent than the initial cell type. Moreover, we found these aspects were all enhanced for cells on the highly aligned, high-grade tumor model. Conversely, the weakest corresponding responses were observed on the more random mesh-like normal stromal matrix, with the partially aligned benign tumor and high-risk models demonstrating intermediate behavior. These results are all consistent with a contact guidance mechanism. These models cannot be synthesized by other conventional fabrication methods, and we suggest this approach will enable a variety of studies in cancer biology.
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The Many Microenvironments of Ovarian Cancer. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1296:199-213. [PMID: 34185294 DOI: 10.1007/978-3-030-59038-3_12] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
High-grade serous ovarian cancer (HGSOC) is the most common and deadly subtype of ovarian cancer as it is commonly diagnosed after substantial metastasis has already occurred. The past two decades have been an active era in HGSOC research, with new information on the origin and genomic signature of the tumor cell. Additionally, studies have begun to characterize changes in the HGSOC microenvironment and examine the impact of these changes on tumor progression and response to therapies. While this knowledge may provide valuable insight into better prognosis and treatments for HGSOCs, its collection, synthesis, and application are complicated by the number of unique microenvironments in the disease-the initiating site (fallopian tube), first metastasis (ovary), distal metastases (peritoneum), and recurrent/platinum-resistant setting. Here, we review the state of our understanding of these diverse sites and highlight remaining questions.
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Alkmin S, Brodziski R, Simon H, Hinton D, Goldsmith RH, Patankar M, Campagnola P. Migration dynamics of ovarian epithelial cells on micro-fabricated image-based models of normal and malignant stroma. Acta Biomater 2019; 100:92-104. [PMID: 31568876 DOI: 10.1016/j.actbio.2019.09.037] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 09/25/2019] [Accepted: 09/26/2019] [Indexed: 12/12/2022]
Abstract
A profound remodeling of the collagen in the extracellular matrix (ECM) occurs in human ovarian cancer but it is unknown how this affects migration dynamics and ultimately tumor growth. Here, we investigate the influence of collagen morphology on ovarian cell migration through the use of second harmonic generation (SHG) image-based models of ovarian tumors. The scaffolds are fabricated by multiphoton excited (MPE) polymerization, where the process is akin to 3D printing except it achieves much greater resolution (∼0.5 µm) and utilizes collagen and collagen analogs. We used this technique to create scaffolds with complex 3D submicron features representing the collagen fiber morphology in normal stroma, high risk stroma, benign tumors, and high grade ovarian tumors. We found the highly aligned malignant stromal structure promoted enhanced motility and also increased cell and f-Actin alignment relative to the other tissues. However, using models based on fiber crimping characteristics, we found cells seeded on linear fibers based on normal stromal models yielded the highest degree of alignment but least motility. These results show that both the fiber properties themselves and as well as their overall alignment govern the resulting migration dynamics. These models cannot be synthesized by other conventional fabrication methods and we suggest the MPE image-based fabrication method will enable a variety of studies in cancer biology. STATEMENT OF SIGNIFICANCE: The extracellular matrix collagen in ovarian cancer is highly remodeled but the consequences on cell function remain unknown. It is important to understand the operative cell matrix interactions, as this could lead to better prognostics and better prediction of therapeutic efficacy. We probe migration dynamics using high resolution (∼0.5 µm) multiphoton excited fabrication to synthesize scaffolds whose designs are derived directly from Second Harmonic Generation microscope images of the collagen in normal ovarian tissues as well as benign and malignant tumors. Collectively our results show the importance of the matrix morphology (fiber shape and alignment) on driving cell motility, cell shape and f-Actin alignment. These collagen-based models have complex fiber morphology and cannot be created by conventional fabrication technologies.
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18
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Macoska JA, Uchtmann KS, Leverson GE, McVary KT, Ricke WA. Prostate Transition Zone Fibrosis is Associated with Clinical Progression in the MTOPS Study. J Urol 2019; 202:1240-1247. [PMID: 31188728 PMCID: PMC7339116 DOI: 10.1097/ju.0000000000000385] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/04/2019] [Indexed: 11/25/2022]
Abstract
PURPOSE Medications targeting androgen receptor activity (eg finasteride) or smooth muscle contractility (eg doxazosin) do not resolve lower urinary tract symptoms indicative of lower urinary tract dysfunction in an important subgroup of men. Recently fibrosis has been implicated as another pathobiology contributing to male lower urinary tract symptoms but to our knowledge no systematic studies have been done to assess fibrosis in the context of medical treatment. We determine whether fibrotic changes in the prostate transition zone are associated with an increased risk of clinical progression in participants treated with doxazosin, finasteride or finasteride plus doxazosin in the MTOPS (Medical Therapy of Prostatic Symptoms) study. MATERIALS AND METHODS Transition zone biopsy tissues from men who did or did not experience clinical progression on placebo, doxazosin, finasteride or combination therapy were assessed for collagen content and architectural changes using picrosirius red birefringence and CT-FIRE (Curvelet Transform-Fiber Extraction) analysis. Correlations were made with annotated demographic and clinical data. Statistical analyses were done with the Pearson correlation coefficient, ANOVA and the t-test. RESULTS High levels of wavy, aligned prostate transition zone collagen significantly correlated with an increased risk of clinical progression among MTOPS trial participants treated with doxazosin plus finasteride, particularly those with a high body mass index. CONCLUSIONS Fibrotic changes in the prostate transition zone are associated with an increased risk of clinical progression in men treated with doxazosin plus finasteride. Antifibrotic therapeutics might provide a new treatment approach in men with lower urinary tract dysfunction who do not respond to current medical treatment approaches.
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Affiliation(s)
- Jill A. Macoska
- Center for Personalized Cancer Therapy, University of Massachusetts, Boston, MA, USA
- George M. O’Brien Center for Benign Urologic Research, University of Wisconsin, Madison, WI, USA
| | - Kristen S. Uchtmann
- George M. O’Brien Center for Benign Urologic Research, University of Wisconsin, Madison, WI, USA
- Department of Urology, The University of Wisconsin, Madison, WI, USA
| | - Glen E. Leverson
- Department of Urology, The University of Wisconsin, Madison, WI, USA
| | - Kevin T. McVary
- Department of Urology, Loyola University Medical Center, Maywood, IL, USA
| | - William A. Ricke
- George M. O’Brien Center for Benign Urologic Research, University of Wisconsin, Madison, WI, USA
- Department of Urology, The University of Wisconsin, Madison, WI, USA
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19
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Rentchler EC, Gant KL, Drapkin R, Patankar M, J. Campagnola P. Imaging Collagen Alterations in STICs and High Grade Ovarian Cancers in the Fallopian Tubes by Second Harmonic Generation Microscopy. Cancers (Basel) 2019; 11:cancers11111805. [PMID: 31744173 PMCID: PMC6896112 DOI: 10.3390/cancers11111805] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 11/14/2019] [Indexed: 11/17/2022] Open
Abstract
The majority of high-grade serous ovarian cancers originate in the fallopian tubes, however, the corresponding structural changes in the extracellular matrix (ECM) have not been well-characterized. This information could provide new insight into the carcinogenesis and provide the basis for new diagnostic tools. We have previously used the collagen-specific Second Harmonic Generation (SHG) microscopy to probe collagen fiber alterations in high-grade serous ovarian cancer and in other ovarian tumors, and showed they could be uniquely identified by machine learning approaches. Here we couple SHG imaging of serous tubal intra-epithelial carcinomas (STICs), high-grade cancers, and normal regions of the fallopian tubes, using three distinct image analysis approaches to form a classification scheme based on the respective collagen fiber morphology. Using a linear discriminant analysis, we achieved near 100% classification accuracy between high-grade disease and the other tissues, where the STICs and normal regions were differentiated with ~75% accuracy. Importantly, the collagen in high-grade disease in both the fallopian tube and the ovary itself have a similar collagen morphology, further substantiating the metastasis between these sites. This analysis provides a new method of classification, but also quantifies the structural changes in the disease, which may provide new insight into metastasis.
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Affiliation(s)
- Eric C. Rentchler
- Department of Biomedical Engineering, University of Wisconsin, Madison, WI 53706, USA;
| | - Kristal L. Gant
- Department of Obstetrics and Gynecology, University of Wisconsin, Madison, WI 53706, USA; (K.L.G.); (M.P.)
| | - Ronny Drapkin
- Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA 19104, USA;
| | - Manish Patankar
- Department of Obstetrics and Gynecology, University of Wisconsin, Madison, WI 53706, USA; (K.L.G.); (M.P.)
| | - Paul J. Campagnola
- Department of Biomedical Engineering, University of Wisconsin, Madison, WI 53706, USA;
- Correspondence:
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20
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Liu Y, Xu J. High-resolution microscopy for imaging cancer pathobiology. CURRENT PATHOBIOLOGY REPORTS 2019; 7:85-96. [PMID: 32953251 PMCID: PMC7500261 DOI: 10.1007/s40139-019-00201-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE OF REVIEW Light microscopy plays an essential role in clinical diagnosis and understanding the pathogenesis of cancer. Conventional bright-field microscope is used to visualize abnormality in tissue architecture and nuclear morphology, but often suffers from many limitations. This review focuses on the potential of new imaging techniques to improve basic and clinical research in pathobiology. RECENT FINDINGS Light microscopy has significantly expanded its ability in resolution, imaging volume, speed and contrast. It now allows 3D high-resolution volumetric imaging of tissue architecture from large tissue and molecular structures at nanometer resolution. SUMMARY Pathologists and researchers now have access to various imaging tools to study cancer pathobiology in both breadth and depth. Although clinical adoption of a new technique is slow, the new imaging tools will provide significant new insights and open new avenues for improving early cancer detection, personalized risk assessment and identifying the best treatment strategies.
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Affiliation(s)
- Yang Liu
- Biomedical Optical Imaging Laboratory, Departments of Medicine and Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Jianquan Xu
- Biomedical Optical Imaging Laboratory, Departments of Medicine and Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA
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21
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Campbell KR, Chaudhary R, Montano M, Iozzo RV, Bushman WA, Campagnola PJ. Second-harmonic generation microscopy analysis reveals proteoglycan decorin is necessary for proper collagen organization in prostate. JOURNAL OF BIOMEDICAL OPTICS 2019; 24:1-8. [PMID: 31148435 PMCID: PMC6541798 DOI: 10.1117/1.jbo.24.6.066501] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 04/18/2019] [Indexed: 05/11/2023]
Abstract
Collagen remodeling occurs in many prostate pathologies; however, the underlying structural architecture in both normal and diseased prostatic tissues is largely unexplored. Here, we use second-harmonic generation (SHG) microscopy to specifically probe the role of the proteoglycan decorin (Dcn) on collagen assembly in a wild type (wt) and Dcn null mouse (Dcn - / - ). Dcn is required for proper organization of collagen fibrils as it regulates size by forming an arch-like structure at the end of the fibril. We have utilized SHG metrics based on emission directionality (forward-backward ratio) and relative conversion efficiency, which are both related to the SHG coherence length, and found more disordered fibril organization in the Dcn - / - . We have also used image analysis readouts based on entropy, multifractal dimension, and wavelet transforms to compare the collagen fibril/fiber architecture in the two models, where all these showed that the Dcn - / - prostate comprised smaller and more disorganized collagen structures. All these SHG metrics are consistent with decreased SHG phase matching in the Dcn - / - and are further consistent with ultrastructural analysis of collagen in this model in other tissues, which show a more random distribution of fibril sizes and their packing into fibers. As Dcn is a known tumor suppressor, this work forms the basis for future studies of collagen remodeling in both malignant and benign prostate disease.
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Affiliation(s)
- Kirby R. Campbell
- University of Wisconsin-Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | - Rajeev Chaudhary
- University of Wisconsin-Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | - Monica Montano
- University of Wisconsin-Madison, Department of Urology, Madison, Wisconsin, United States
| | - Renato V. Iozzo
- Thomas Jefferson University, Department of Pathology, Philadelphia, Pennsylvania, United States
| | - Wade A. Bushman
- University of Wisconsin-Madison, Department of Urology, Madison, Wisconsin, United States
| | - Paul J. Campagnola
- University of Wisconsin-Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
- Address all correspondence to Paul J. Campagnola, E-mail:
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22
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Apter B, Lapshina N, Handelman A, Fainberg BD, Rosenman G. Peptide Nanophotonics: From Optical Waveguiding to Precise Medicine and Multifunctional Biochips. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2018; 14:e1801147. [PMID: 30027685 DOI: 10.1002/smll.201801147] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2018] [Revised: 05/08/2018] [Indexed: 06/08/2023]
Abstract
Optical waveguiding phenomena found in bioinspired chemically synthesized peptide nanostructures are a new paradigm which can revolutionize emerging fields of precise medicine and health monitoring. A unique combination of their intrinsic biocompatibility with remarkable multifunctional optical properties and developed nanotechnology of large peptide wafers makes them highly promising for new biomedical light therapy tools and implantable optical biochips. This Review highlights a new field of peptide nanophotonics. It covers peptide nanotechnology and the fabrication process of peptide integrated optical circuits, basic studies of linear and nonlinear optical phenomena in biological and bioinspired nanostructures, and their passive and active optical waveguiding. It is shown that the optical properties of this generation of bio-optical materials are governed by fundamental biological processes. Refolding the peptide secondary structure is followed by wideband optical absorption and visible tunable fluorescence. In peptide optical waveguides, such a bio-optical effect leads to switching from passive waveguiding mode in native α-helical phase to an active one in the β-sheet phase. The found active waveguiding effect in β-sheet fiber structures below optical diffraction limit opens an avenue for the future development of new bionanophotonics in ultrathin peptide/protein fibrillar structures toward advanced biomedical nanotechnology.
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Affiliation(s)
- Boris Apter
- Faculty of Engineering, Holon Institute of Technology, Holon, 5810201, Israel
| | - Nadezda Lapshina
- School of Electrical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, 69978, Israel
| | - Amir Handelman
- Faculty of Engineering, Holon Institute of Technology, Holon, 5810201, Israel
| | - Boris D Fainberg
- Faculty of Science, Holon Institute of Technology, Holon, 5810201, Israel
- School of Chemistry, Tel Aviv University, Tel Aviv, 69978, Israel
| | - Gil Rosenman
- School of Electrical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, 69978, Israel
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23
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Campbell KR, Chaudhary R, Handel JM, Patankar MS, Campagnola PJ. Polarization-resolved second harmonic generation imaging of human ovarian cancer. JOURNAL OF BIOMEDICAL OPTICS 2018; 23:1-8. [PMID: 29900704 PMCID: PMC5998835 DOI: 10.1117/1.jbo.23.6.066501] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Accepted: 05/23/2018] [Indexed: 05/05/2023]
Abstract
Remodeling of the extracellular matrix in human ovarian cancer can be manifested in increased collagen concentration, changes in alignment within fibrils/fibers and/or up-regulation of different collagen isoforms. We used pixel-based second harmonic generation (SHG) polarization microscopy analyses to probe these molecular changes in human ovarian tissues [normal stroma, benign tumors, and high-grade serous (HGS) tumors] by: (i) determination of the α-helical pitch angle via the single-axis molecular model, (ii) collagen alignment within fibrils via SHG anisotropy, and (iii) chirality via SHG circular dichroism (SHG-CD). Pixel approaches are required due to the complex structure of the matrix that lacks a high degree of fiber alignment. The largest differences in the helical pitch angle were between normal stroma and benign tumors, consistent with gene expression showing the Col III isoform is up-regulated in the latter. The data were not consistent with up-regulation of Col III in HGS tumors as previous reports have suggested. The different tissues also displayed differing SHG anisotropies and SHG-CD responses, consistent with either Col III incorporation or randomization of Col I alignment within benign and malignant tumors. Additionally, the high-grade tumors displayed higher collagen concentration, where this desmoplasia is consistent with the higher fiber density in these tissues. These results collectively indicate that the fibril assemblies are distinct in all tissues, where these differences likely result from the synthesis of collagen rather than remodeling of existing collagen. Importantly, these analyses are label-free and interrogate subresolution collagen structure on intact tissues, without the need for conventional structural biology tools.
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Affiliation(s)
- Kirby R. Campbell
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Laboratory for Optical and Computational Instrumentation, Madison, Wisconsin, United States
| | - Rajeev Chaudhary
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Laboratory for Optical and Computational Instrumentation, Madison, Wisconsin, United States
| | - Julia M. Handel
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | - Manish S. Patankar
- University of Wisconsin–Madison, Department of Obstetrics and Gynecology, Madison, Wisconsin, United States
| | - Paul J. Campagnola
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Laboratory for Optical and Computational Instrumentation, Madison, Wisconsin, United States
- Address all correspondence to: Paul J. Campagnola, E-mail:
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24
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Methods for the visualization and analysis of extracellular matrix protein structure and degradation. Methods Cell Biol 2018; 143:79-95. [PMID: 29310793 DOI: 10.1016/bs.mcb.2017.08.005] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
This chapter highlights methods for visualization and analysis of extracellular matrix (ECM) proteins, with particular emphasis on collagen type I, the most abundant protein in mammals. Protocols described range from advanced imaging of complex in vivo matrices to simple biochemical analysis of individual ECM proteins. The first section of this chapter describes common methods to image ECM components and includes protocols for second harmonic generation, scanning electron microscopy, and several histological methods of ECM localization and degradation analysis, including immunohistochemistry, Trichrome staining, and in situ zymography. The second section of this chapter details both a common transwell invasion assay and a novel live imaging method to investigate cellular behavior with respect to collagen and other ECM proteins of interest. The final section consists of common electrophoresis-based biochemical methods that are used in analysis of ECM proteins. Use of the methods described herein will enable researchers to gain a greater understanding of the role of ECM structure and degradation in development and matrix-related diseases such as cancer and connective tissue disorders.
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25
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Quantification of Collagen Organization after Nerve Repair. PLASTIC AND RECONSTRUCTIVE SURGERY-GLOBAL OPEN 2017; 5:e1586. [PMID: 29632766 PMCID: PMC5889458 DOI: 10.1097/gox.0000000000001586] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Accepted: 10/13/2017] [Indexed: 01/09/2023]
Abstract
Background: Clinical outcomes after nerve injury and repair remain suboptimal. Patients may be plagued by poor functional recovery and painful neuroma at the repair site, characterized by disorganized collagen and sprouting axons. Collagen deposition during wound healing can be intrinsically imaged using second harmonic generation (SHG) microscopy. The purpose of this study was to develop a protocol for SHG imaging of nerves and to assess whether collagen alignment can be quantified after nerve repair. Methods: Sciatic nerve transection and epineural repair was performed in male rats. The contralateral nerves were used as intra-animal controls. Ten-millimeter nerve segments were harvested and fixed onto slides. SHG images were collected using a 20× objective on a multiphoton microscope. Collagen fiber alignment was calculated using CurveAlign software. Alignment was calculated on a scale from 0 to 1, where 1 represents perfect alignment. Statistical analysis was performed using a linear mixed-effects model. Results: Eight male rats underwent right sciatic nerve repair using 9-0 Nylon suture. There were gross variations in collagen fiber organization in the repaired nerves compared with the controls. Quantitatively, collagen fibers were more aligned in the control nerves (mean alignment 0.754, SE 0.055) than in the repairs (mean alignment 0.413, SE 0.047; P < 0.001). Conclusions: SHG microscopy can be used to quantitate collagen after nerve repair via fiber alignment. Given that the development of neuroma likely reflects aberrant wound healing, ex vivo and/or in vivo SHG imaging may be useful for further investigation of the variables predisposing to neuroma.
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Campbell KR, Campagnola PJ. Assessing local stromal alterations in human ovarian cancer subtypes via second harmonic generation microscopy and analysis. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:1-7. [PMID: 29188658 PMCID: PMC5847644 DOI: 10.1117/1.jbo.22.11.116008] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Accepted: 10/31/2017] [Indexed: 05/05/2023]
Abstract
The collagen architecture in all human ovarian cancers is substantially remodeled, where these alterations are manifested in different fiber widths, fiber patterns, and fibril size and packing. Second harmonic generation (SHG) microscopy has differentiated normal tissues from high-grade serous (HGS) tumors with high accuracy; however, the classification between low-grade serous, endometrioid, and benign tumors was less successful. We postulate this is due to known higher genetic variation in these tissues relative to HGS tumors, which are genetically similar, and this results in more heterogeneous collagen remodeling in the respective matrix. Here, we examine fiber widths and SHG emission intensity and directionality locally within images (e.g., 10×10 microns) and show that normal tissues and HGS tumors are more uniform in fiber properties as well as in fibril size and packing than the other tissues. Moreover, these distributions are in good agreement with phase matching considerations relating SHG emission directionality and intensity. The findings show that in addition to average collagen assembly properties the intrinsic heterogeneity must also be considered as another aspect of characterization. These local analyses showed differences not shown in pure intensity-based image analyses and may provide further insight into disease etiology of the different tumor subtypes.
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Affiliation(s)
- Kirby R. Campbell
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | - Paul J. Campagnola
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
- Address all correspondence to: Paul J. Campagnola, E-mail:
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Campbell KR, Wen B, Shelton EM, Swader R, Cox BL, Eliceiri K, Campagnola PJ. 3D second harmonic generation imaging tomography by multi-view excitation. OPTICA 2017; 4:1171-1179. [PMID: 29541654 PMCID: PMC5847324 DOI: 10.1364/optica.4.001171] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Accepted: 08/29/2017] [Indexed: 05/26/2023]
Abstract
Biological tissues have complex 3D collagen fiber architecture that cannot be fully visualized by conventional second harmonic generation (SHG) microscopy due to electric dipole considerations. We have developed a multi-view SHG imaging platform that successfully visualizes all orientations of collagen fibers. This is achieved by rotating tissues relative to the excitation laser plane of incidence, where the complete fibrillar structure is then visualized following registration and reconstruction. We evaluated high frequency and Gaussian weighted fusion reconstruction algorithms, and found the former approach performs better in terms of the resulting resolution. The new approach is a first step toward SHG tomography.
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Affiliation(s)
- Kirby R. Campbell
- Laboratory for Optical and Computational Instrumentation, Department of Biomedical Engineering, University of Wisconsin-Madison, 1550 Engineering Drive, Madison, Wisconsin 53706, USA
| | - Bruce Wen
- Laboratory for Optical and Computational Instrumentation, Department of Biomedical Engineering, University of Wisconsin-Madison, 1550 Engineering Drive, Madison, Wisconsin 53706, USA
- Morgridge Institute for Research, 330 N. Orchard Street, Madison, Wisconsin 53715, USA
| | - Emily M. Shelton
- Laboratory for Optical and Computational Instrumentation, Department of Biomedical Engineering, University of Wisconsin-Madison, 1550 Engineering Drive, Madison, Wisconsin 53706, USA
| | - Robert Swader
- Morgridge Institute for Research, 330 N. Orchard Street, Madison, Wisconsin 53715, USA
| | - Benjamin L. Cox
- Laboratory for Optical and Computational Instrumentation, Department of Biomedical Engineering, University of Wisconsin-Madison, 1550 Engineering Drive, Madison, Wisconsin 53706, USA
- Morgridge Institute for Research, 330 N. Orchard Street, Madison, Wisconsin 53715, USA
| | - Kevin Eliceiri
- Laboratory for Optical and Computational Instrumentation, Department of Biomedical Engineering, University of Wisconsin-Madison, 1550 Engineering Drive, Madison, Wisconsin 53706, USA
- Morgridge Institute for Research, 330 N. Orchard Street, Madison, Wisconsin 53715, USA
| | - Paul J. Campagnola
- Laboratory for Optical and Computational Instrumentation, Department of Biomedical Engineering, University of Wisconsin-Madison, 1550 Engineering Drive, Madison, Wisconsin 53706, USA
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