Literature DB >> 16805200

The molecular biology of pulmonary metastasis.

Kartik Krishnan1, Chand Khanna, Lee J Helman.   

Abstract

Curing cancer requires the treatment of metastatic disease. Whether this is a patient with advanced disease and clinically apparent metastases, or if the patient with localized disease is at risk for development of dissemination, failure to control metastasis will result in a poor outcome. Here, we have presented a molecular guide to our current understanding of the processes underlying metastasis. Experimental clinical trials designed to further the understanding of metastasis are often limited by selection of patients with advanced disease. Therefore, our understanding of the processes involved in the metastatic cascade is limited by the availability of comprehensive experimental model systems. The study of metastasis relies most heavily on xenografts, tumors using human cell lines, or tumor tissue that can grow in mice. These models present a limited recapitulation of the patients. Xenograft models require some degree of immunosuppression on the part of the host, because mice with native immune systems will reject transplanted human tumors, preventing their growth. As a result, mice with immune defects ranging from depleted T cells (nude mice) to absent T, B, and NK cells (SCID-Beige) are used as hosts. As the evasion of the immune system is a key function demonstrated by the metastatic cancer cell, xenograft models, by necessity, subvert this step. Furthermore, recent studies have established that angiogenesis in transplanted tumors is different than in native tumors, further highlighting the limitations of these models. With these limitations, studies of metastasis may require development of models of autochthonous tumors, that is, tumors originating in the study animals. A number of cell lines of autochthonous murine tumors have been established that generate metastatic disease after implantation into mice. Moreover, some transgenic animals spontaneously develop metastatic tumors that, although occurring in genetically engineered animals, may represent the most complete model from early development to late effects. Finally, a very promising field of autochthonous tumor studies lies in work with companion animals (pets). Some dogs will have cancer, often with striking similarities to those of their human counterparts. These pets may represent an important study group, because they have autochthonous tumors, occurring spontaneously, in an outbred population. In all of these cases, the tumor, new vasculature, and the immune system are syngeneic with the host. In addition to the advances in model systems, advances in technology will further our understanding and ability to combat metastatic disease. As demonstrated, genomics is proving to be a powerful tool in identifying those at risk for metastasis. From these genetic signatures, molecular targets may be deduced from the genes altered in patients with poor prognoses. Furthermore, other molecular tools such as proteomic analysis may provide further information. Clearly, therefore, a synthesis of different technologies and complimentary information will be required to target metastases and improve the outcome for patients affected by them.

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Mesh:

Year:  2006        PMID: 16805200     DOI: 10.1016/j.thorsurg.2005.12.003

Source DB:  PubMed          Journal:  Thorac Surg Clin            Impact factor:   1.750


  9 in total

1.  Modeling metastasis biology and therapy in real time in the mouse lung.

Authors:  Arnulfo Mendoza; Sung-Hyeok Hong; Tanasa Osborne; Mohammed A Khan; Kirk Campbell; Joseph Briggs; Ananth Eleswarapu; Lauren Buquo; Ling Ren; Stephen M Hewitt; El Habib Dakir; El-H Dakir; Susan Garfield; Renard Walker; Glenn Merlino; Jeffrey E Green; Kent W Hunter; Lalage M Wakefield; Chand Khanna
Journal:  J Clin Invest       Date:  2010-07-19       Impact factor: 14.808

2.  An orthotopic, postsurgical model of luciferase transfected murine osteosarcoma with spontaneous metastasis.

Authors:  Joseph L Sottnik; Dawn L Duval; E J Ehrhart; Douglas H Thamm
Journal:  Clin Exp Metastasis       Date:  2010-03-07       Impact factor: 5.150

3.  Systemic delivery of siRNA via LCP nanoparticle efficiently inhibits lung metastasis.

Authors:  Yang Yang; Jun Li; Feng Liu; Leaf Huang
Journal:  Mol Ther       Date:  2011-12-20       Impact factor: 11.454

4.  Longitudinal microcomputed tomography-derived biomarkers for lung metastasis detection in a syngeneic mouse model: added value to bioluminescence imaging.

Authors:  Eyra Marien; Amy Hillen; Frank Vanderhoydonc; Johannes V Swinnen; Greetje Vande Velde
Journal:  Lab Invest       Date:  2016-11-21       Impact factor: 5.662

5.  Significance of Trask protein interactions in brain metastatic cohorts of lung cancers.

Authors:  Hua Wu; Li-Qun Shang; Rui-Lin Chen; Shu-Mei Yang; Shui-Li Wang; Jun Wang; Gang Sun
Journal:  Tumour Biol       Date:  2015-01-21

Review 6.  Altered expression of stromal interaction molecule (STIM)-calcium release-activated calcium channel protein (ORAI) and inositol 1,4,5-trisphosphate receptors (IP3Rs) in cancer: will they become a new battlefield for oncotherapy?

Authors:  Jing Wen; Ying-Cheng Huang; Huan-Huan Xiu; Zhi-Ming Shan; Kang-Qing Xu
Journal:  Chin J Cancer       Date:  2016-03-24

Review 7.  Molluscan Compounds Provide Drug Leads for the Treatment and Prevention of Respiratory Disease.

Authors:  Kate Summer; Jessica Browne; Lei Liu; Kirsten Benkendorff
Journal:  Mar Drugs       Date:  2020-11-19       Impact factor: 5.118

8.  The risk of distant metastases in patients with gynecologic cancers after surgery: a population-based study.

Authors:  Yi-Hsuan Hsiao; Pei-Ni Chen; Min-Chien Hsin; Po-Hui Wang; Jing-Yang Huang; Shun-Fa Yang
Journal:  Aging (Albany NY)       Date:  2021-12-16       Impact factor: 5.682

Review 9.  Current Evidence for Stereotactic Body Radiotherapy in Lung Metastases.

Authors:  Enrique Gutiérrez; Irving Sánchez; Omar Díaz; Adrián Valles; Ricardo Balderrama; Jesús Fuentes; Brenda Lara; Cipatli Olimón; Víctor Ruiz; José Rodríguez; Luis H Bayardo; Matthew Chan; Conrad J Villafuerte; Jerusha Padayachee; Alexander Sun
Journal:  Curr Oncol       Date:  2021-07-15       Impact factor: 3.677

  9 in total

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