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Single-cell morphology encodes metastatic potential

Pei-Hsun Wu, Daniele M. Gilkes, Jude M. Phillip, Akshay Narkar, Thomas Wen-Tao Cheng, Jorge Marchand, Meng-Horng Lee, Rong Li, Denis Wirtz
2020 Science Advances  
Using unsupervised clustering analysis, we find that the morphological classes of SCCs predict distinct tumorigenic and metastatic potentials in vivo using multiple mouse models of breast cancer.  ...  These findings lay the groundwork for using quantitative morpho-profiling in vitro as a potentially convenient and economical method for phenotyping function in cancer in vivo.  ...  Data and materials availability: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials.  ... 
doi:10.1126/sciadv.aaw6938 pmid:32010778 pmcid:PMC6976289 fatcat:j3qgtfw7trdublydpgxzdfnhqe

Machine Learning Methods for Histopathological Image Analysis: A Review

Jonathan de Matos, Steve Tsham Mpinda Ataky, Alceu de Souza Britto, Luiz Eduardo Soares de Oliveira, Alessandro Lameiras Koerich
2021 Electronics  
Histopathological images (HIs) are the gold standard for evaluating some types of tumors for cancer diagnosis.  ...  We also cover the most common tasks in HI analysis, such as segmentation and feature extraction.  ...  [10] used k-means for segmentation followed by skeletonization and shock graphs to identify nuclei in the previously segmented image.  ... 
doi:10.3390/electronics10050562 fatcat:7kkj7qncxvdhdm3qvliwcqm3tq

Heterogeneity of CTC contributes to the organotropism of breast cancer

Tao Yu, Cenzhu Wang, Mengyan Xie, Chengjun Zhu, Yongqian Shu, Jinhai Tang, Xiaoxiang Guan
2021 Biomedicine and Pharmacotherapy  
The phenotypic and molecular heterogeneity of CTCs is associated with breast cancer progression and prognosis.  ...  Circulating tumor cells (CTCs) are viewed as pro-metastasis precursors shed from primary tumors or metastatic sites.  ...  Other fatorsc associated with the heterogeneity of CTC In addition to the mentioned factors, CTCs can be classified by gene expression and mutation.  ... 
doi:10.1016/j.biopha.2021.111314 pmid:33581649 fatcat:krtpbkpnnfe2vf7vdj4ujwigcq

Rapid and automated multidimensional fluorescence microscopy profiling of 3D human breast cultures

Catherine C. Park, Walter Georgescu, Aris Polyzos, Christopher Pham, Kazi M. Ahmed, Hui Zhang, Sylvain V. Costes
2013 Integrative Biology  
" phenotype with fewer and larger nuclei, loss of cell connectivity and diffused basement membrane.  ...  When integrating these imaging features into hierarchical clustering classification, we could also identify subpopulations of phenotypes from individual human tumor colonies treated with ionizing radiation  ...  Finally, our work addresses the importance of recognizing heterogeneity of tumor response to treatment.  ... 
doi:10.1039/c3ib20275e pmid:23407655 pmcid:PMC3641787 fatcat:lgnyiuyo6zdjpihlukkeuybpkm

Towards the Biological Understanding of CTC: Capture Technologies, Definitions and Potential to Create Metastasis

Ana Barradas, Leon Terstappen
2013 Cancers  
The presence of CTC enumerated with the CellSearch system is associated with a relative short survival and their continued presence after the first cycles of therapy indicates a futile therapy in patients  ...  with metastatic carcinomas.  ...  (A) Cluster of three large CTC; (B) Individual CTC varying in size and shape; (C) CTC varying in size and shape exhibiting distinct punctuation of the CK staining; (D) CTC stained for CKs and nuclei (left  ... 
doi:10.3390/cancers5041619 pmid:24305653 pmcid:PMC3875957 fatcat:e4gt4ggzzzcl3ihh74q2tufx2u

A Tetrahedron-Based Heat Flux Signature for Cortical Thickness Morphometry Analysis [chapter]

Yonghui Fan, Gang Wang, Natasha Lepore, Yalin Wang
2018 Lecture Notes in Computer Science  
314 Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound 316 SPNet: Shape Prediction using a Fully Convolutional Neural Network 317 Modeling Longitudinal  ...  Enhancement MRI for Breast Cancer Early Detection 494 Uncertainty Estimation in Segmentation with Perfect MCMC Sampling in Bayesian MRFs 497 Training Medical Image Analysis Systems like Radiologists 498  ... 
doi:10.1007/978-3-030-00931-1_48 pmid:30338317 pmcid:PMC6191198 fatcat:dqhvpm5xzrdqhglrfftig3qejq

Ultra High Content Image Analysis and Phenotype Profiling of 3D Cultured Micro-Tissues

Zi Di, Maarten J. D. Klop, Vasiliki-Maria Rogkoti, Sylvia E. Le Dévédec, Bob van de Water, Fons J. Verbeek, Leo S. Price, John H. N. Meerman, Robert Oshima
2014 PLoS ONE  
As proof of concept, we analyzed mouse breast cancer cells (4T1 cells) in a 384-well plate format following exposure to a diverse set of compounds at different concentrations.  ...  To demonstrate the wider applicability of our method, we analyzed the phenotypes of a collection of 44 human breast cancer cell lines cultured in 3D and showed that our method correctly distinguished basal-A  ...  Marc Bickle, Max Planck Institute, Dresden, for support with KNIME software, Dr Robbert Jan Kok, for providing many of the compounds used in this study and Prof. Dr. John A. Foekens and Dr. John W.  ... 
doi:10.1371/journal.pone.0109688 pmid:25289886 pmcid:PMC4188701 fatcat:rf72cckrizavdnlsirlptvcea4

A novel machine learning approach reveals latent vascular phenotypes predictive of renal cancer outcome

Nathan Ing, Fangjin Huang, Andrew Conley, Sungyong You, Zhaoxuan Ma, Sergey Klimov, Chisato Ohe, Xiaopu Yuan, Mahul B. Amin, Robert Figlin, Arkadiusz Gertych, Beatrice S. Knudsen
2017 Scientific Reports  
The trained algorithms classify endothelial cells and generate a vascular area mask (VAM) in H&E micrographs of clear cell renal cell carcinoma (ccRCC) cases from The Cancer Genome Atlas (TCGA).  ...  quantitative imaging with genomic data.  ...  Alberto Marchevsky, Peter Gann, Michael Freeman, Isla Garroway, and Muneesh Tewari for helpful suggestions with the manuscript.  ... 
doi:10.1038/s41598-017-13196-4 pmid:29038551 pmcid:PMC5643431 fatcat:oo3lrxzp2fdnnheetbkwf3vicq

An Automatic Patch-based Approach for HER-2 Scoring in Immunohistochemical Breast Cancer Images Using Color Features [article]

Caroline Q. Cordeiro and Sergio O. Ioshii and Jeovane H. Alves and Lucas F. Oliveira
2018 arXiv   pre-print
Analysis of HER-2 is fundamental to defining the appropriate therapy for patients with breast cancer. Inter-pathologist variability in the test results can affect diagnostic accuracy.  ...  Based on color features, the technique is fully-automated and avoids segmentation, showing a concordance higher than 90% with a pathologist in the experiments realized.  ...  In Brazil, Breast Cancer (BC) is the most common tumor among women, affecting almost 60,000 patients in 2014 [INCA 2014] . BC is the second most common tumor worldwide.  ... 
arXiv:1805.05392v1 fatcat:rqozr32nrjdgdoywptwn5jtd6u

Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review

Fuyong Xing, Lin Yang
2016 IEEE Reviews in Biomedical Engineering  
In the past few decades, many efforts have been devoted to automated nucleus/cell detection and segmentation.  ...  In addition, we discuss the challenges for the current methods and the potential future work of nucleus/cell detection and segmentation.  ...  Second, there exist significant variations on nucleus/cell size, shape, and intracellular intensity heterogeneity.  ... 
doi:10.1109/rbme.2016.2515127 pmid:26742143 pmcid:PMC5233461 fatcat:hx5ldvsppvgzxk6rdiok7siyvi

The relationship of quantitative nuclear morphology to molecular genetic alterations in the adenoma-carcinoma sequence of the large bowel

J W Mulder, G J Offerhaus, E P de Feyter, J J Floyd, S E Kern, B Vogelstein, S R Hamilton
1992 American Journal of Pathology  
The findings indicate that nuclear morphology in colorectal neoplasms is strongly related to tumor progression.  ...  Both nuclear area and the nuclear shape factor representing irregularity correlated with adenoma-carcinoma progression (r = 0.57 and r = 0.52, P < 0.0001), whereas standard nuclear texture, a parameter  ...  in vivo and the occurrence of intratumoral heterogeneity.  ... 
pmid:1357973 pmcid:PMC1886650 fatcat:mrcqsg3zynd7dcshglptomqjrm

Automatic extraction of cell nuclei from H&E-stained histopathological images

Faliu Yi, Junzhou Huang, Lin Yang, Yang Xie, Guanghua Xiao
2017 Journal of Medical Imaging  
Experimental results show that the proposed method can lead to promising results in terms of segmentation accuracy and separation of touching nuclei.  ...  We present an automated cell nuclei segmentation approach that works with H&E-stained images. A color deconvolution algorithm was first applied to the image to get the hematoxylin channel.  ...  Due to the heterogeneity and morphological complexity of tumors, it is a challenging task even for well-trained pathologists to reach an agreement when diagnosing a tumor sample by visual inspection of  ... 
doi:10.1117/1.jmi.4.2.027502 pmid:28653017 pmcid:PMC5478972 fatcat:4sww5xjenrgyvklnbyn26kfqx4

What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review [article]

Xiaoqi Li, Haoyuan Chen, Chen Li, Md Mamunur Rahaman, Xintong Li, Jian Wu, Xiaoyan Li, Hongzan Sun, Marcin Grzegorzek
2022 arXiv   pre-print
Therefore, MV algorithms can provide doctors with diagnostic references.  ...  In particular, the continuous improvement of deep learning algorithms has further improved the accuracy of MV in disease detection and diagnosis.  ...  Currently, over 80% of patients newly diagnosed with HL can be cured [6] . NHL is a group of heterogeneous malignant tumors of the lymphatic system.  ... 
arXiv:2201.08550v2 fatcat:tzc4oiurzngkrlke4w4zt4f26u

Macrophage Colony-stimulating Factor Mediates the Recruitment of Macrophages in Triple negative Breast Cancer

Xiaoqing Lu, Rui Yang, Lichao Zhang, Yanfeng Xi, Jiping Zhao, Fusheng Wang, Huanhu Zhang, Zhuoyu Li
2019 International Journal of Biological Sciences  
In vivo, there were more macrophages in tumors induced by MDA-MB-231 than MCF-7 did.  ...  Triple negative breast cancer (TNBC) is characterized by aggressive malignant tumor, poor prognosis and lack of targeted treatment.  ...  Several studies have indicated that the occurrence and development of tumors are not only due to the genetic heterogeneity of tumor cells, but also closely related to the tumor-microenvironment (TME)  ... 
doi:10.7150/ijbs.39063 pmid:31853223 pmcid:PMC6909971 fatcat:ff2nj5chb5gerk53smlcmj5mmu

7thESACP Congress in Caen April 1–5, 2001

2001 Analytical Cellular Pathology  
In tumors with a loss at 18p, additional differences in the shape of nuclei were found. Further differences in the nuclear texture were detected in correlation to gains at parts of 17q.  ...  There was no change of organelles in cytoplasm. Specific changes were identified in nucleus. Nuclei with invaginations and projections, serpantin shape were seen.  ...  Aims: To develop a new type of didactic tool as a combination of computer based teaching and learning multimedia software with a knowledge based diagnostic system in cytopathology of effusions.  ... 
doi:10.1155/2001/414753 fatcat:7vxekd2dbjherbnpv5q7dshpsu
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