Three-dimensional vasculature reconstruction of tumour microenvironment via local clustering and classification

Zhu, Yanqiao; Li, Fuhai; Vadakkan, Tegy J.; Zhang, Mei; Landua, John D.; Wei, Wei; Ma, Jinwen; Dickinson, Mary E.; Rosen, Jeffrey M.; Lewis, Michael T.; Zhan, Ming; Wong, Stephen T.C.

doi:10.1098/rsfs.2013.0015

Cited by 7 publications

(6 citation statements)

References 27 publications

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“…Therefore, Wnt1-induced tumor formation may be due to the ability of Wnt signaling to transform mammary stem cells (Li, et al 2003; Zeng and Nusse 2010). Wnt-responsive cells are also enriched in TICs of mouse mammary tumors (Zhang et al 2010), which are located close to distorted blood vessels (Vadakkan, et al 2014; Zhu, et al 2013), supporting a role for WNT signaling in breast TICs. Accordingly, a WNT inhibitor decreases the TIC frequency of a RAS -transformed mesenchymal subpopulation of human MECs (Scheel, et al 2011).…”

Section: Pathways That Regulate Breast Tics and Confer Resistancementioning

confidence: 89%

Identifying and targeting tumor-initiating cells in the treatment of breast cancer

Wei¹,

Lewis²

2015

Endocrine-Related Cancer

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Breast cancer is the most common cancer in women (exclusive of skin cancer), and is the second leading cause of cancer-related deaths. Although conventional and targeted therapies have improved survival rates, there are still considerable challenges in treating breast cancer, including treatment resistance, disease recurrence, and metastasis. Treatment resistance can be either de novo - due to traits that tumor cells possess prior to treatment, or acquired, - due to traits that tumor cells gain in response to treatment. A recently proposed mechanism of de novo resistance invokes existence of a specialized subset of cancer cells defined as tumor-initiating cells (TICs), or cancer stem cells (CSC). TICs have the capacity to self-renew and regenerate new tumors that consist of all clonally-derived cell types present in the parental tumor. There are data to suggest that TICs are resistant to many conventional cancer therapies, and survive treatment in spite of dramatic shrinkage of the tumor. Residual TICs can then eventually regrow resulting in disease relapse. It is also hypothesized that TIC may be responsible for metastatic disease. If these hypotheses are correct, targeting TICs may be imperative to achieve cure. In this review, we discuss evidence for breast TICs and their apparent resistance to conventional chemotherapy and radiotherapy, as well as to various targeted therapies. We also address the potential impact of breast TIC plasticity and metastatic potential on therapeutic strategies. Finally, we describe several genes and signaling pathways that appear important for TIC function that may represent promising therapeutic targets.

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Section: Pathways That Regulate Breast Tics and Confer Resistancementioning

confidence: 89%

Identifying and targeting tumor-initiating cells in the treatment of breast cancer

Wei¹,

Lewis²

2015

Endocrine-Related Cancer

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“…Furthermore, owing to the high permeability of the tumor vasculature, anti-angiogenic therapy can reduce CTCs to engraft and the original tumor to transfer (33). The tumor microenvironment and tumor angiogenesis have been demonstrated to serve significant roles in a number of types of solid tumor, including prostate, breast and ovarian cancers (34)(35)(36)(37).…”

Section: Discussionmentioning

confidence: 99%

Primary non‑Hodgkin lymphoma of the right femur and subsequent metastasis to the left femur: A case report and literature review

2018

Oncol Lett

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Abstract. Non-Hodgkin lymphoma of the bone is rare and typically causes an extensive bone lesion. The present study describes a case of diffuse large B-cell primary non-Hodgkin lymphoma of the bone, which occurred in the right femur, and was initially treated with surgery and chemotherapy. Following a 7-year period of complete remission, a new, similar lesion was identified in the left femur. With both lesions, there was no accompanying destruction of any other bones or organ involvement. Metastasis of PLB to the contralateral side is extremely rare and, to the best of our knowledge, this is the first report of this particular presentation in China or worldwide. We hypothesized that the present situation arose due to mechanisms involving the tumor microenvironment, circulating tumor cells, lymphocyte homing and self-seeding. The present report describes the case in detail, and discusses the possible underlying mechanisms and their potential contribution to the treatment of non-Hodgkin lymphoma, as well as the prevention of metastasis and recurrence, which may be of considerable clinical significance.

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“…In their work both shape and textural features are extracted from each supervoxel and are used to train an SVM classifier, which is then used in a CRF framework. The work of Zhu et al [25], [26] has applied supervoxels to the segmentation of 3-dimensional vasculature. In this work they consider a semi-supervised graph transduction approach using Gaussian affinities.…”

Section: Related Workmentioning

confidence: 99%

Segmentation of Vasculature From Fluorescently Labeled Endothelial Cells in Multi-Photon Microscopy Images

Bates

Irving

Markelc

et al. 2019

IEEE Trans. Med. Imaging

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Vasculature is known to be of key biological significance, especially in the study of tumors. As such, considerable effort has been focused on the automated segmentation of vasculature in medical and pre-clinical images. The majority of vascular segmentation methods focus on bloodpool labeling methods, however, particularly in the study of tumors it is of particular interest to be able to visualize both perfused and non-perfused vasculature. Imaging vasculature by highlighting the endothelium provides a way to separate the morphology of vasculature from the potentially confounding factor of perfusion. Here we present a method for the segmentation of tumor vasculature in 3D fluorescence microscopy images using signals from the endothelial and surrounding cells. We show that our method can provide complete and semantically meaningful segmentations of complex vasculature using a supervoxel-Markov Random Field approach. We show that in terms of extracting meaningful segmentations of the vasculature, our method out-performs both a state-ofthe- art method, specific to these data, as well as more classical vasculature segmentation methods.

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Three-dimensional vasculature reconstruction of tumour microenvironment via local clustering and classification

Cited by 7 publications

References 27 publications

Identifying and targeting tumor-initiating cells in the treatment of breast cancer

Identifying and targeting tumor-initiating cells in the treatment of breast cancer

Primary non‑Hodgkin lymphoma of the right femur and subsequent metastasis to the left femur: A case report and literature review

Segmentation of Vasculature From Fluorescently Labeled Endothelial Cells in Multi-Photon Microscopy Images

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