Literature DB >> 22150118

A curated database of genetic markers from the angiogenesis/VEGF pathway and their relation to clinical outcome in human cancers.

Sevtap Savas1.   

Abstract

INTRODUCTION: Angiogenesis causes local growth, aggressiveness and metastasis in solid tumors, and thus, is almost always associated with poor prognosis and survival in cancer patients. Because of this clinical importance, several chemotherapeutic agents targeting angiogenesis have also been developed. Genes and genetic variations in angiogenesis/VEGF pathway thus may be correlated with clinical outcome in cancer patients.
MATERIAL AND METHODS: Here, we describe a manually curated public database, dbANGIO, which posts the results of studies testing the possible correlation of genetic variations (polymorphisms and mutations) from the angiogenesis/VEGF pathway with demographic features, clinicopathological features, treatment response and toxicity, and prognosis and survival-related endpoints in human cancers. The scientific findings are retrieved from PUBMED and posted in the dbANGIO website in a summarized form. RESULTS AND
CONCLUSION: As of September 2011, dbANGIO includes 362 entries from 83 research articles encompassing 154 unique genetic variations from 39 genes investigated in several solid and hematological cancers. By curating the literature findings and making them freely available to researchers, dbANGIO will expedite the research on genetic factors from the angiogenesis pathway and will assist in their utility in clinical management of cancer patients. dbANGIO is freely available for non-profit institutions at http://www.med.mun.ca/angio.

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Year:  2011        PMID: 22150118     DOI: 10.3109/0284186X.2011.636758

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  6 in total

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Journal:  JMIR Med Inform       Date:  2014-01-17

2.  Association of VEGF Gene Polymorphisms with the Risk and Prognosis of Cutaneous Squamous Cell Carcinoma.

Authors:  Xiao-Juan Nie; Wen-Min Liu; Li Zhang
Journal:  Med Sci Monit       Date:  2016-10-12

3.  ANGIOGENES: knowledge database for protein-coding and noncoding RNA genes in endothelial cells.

Authors:  Raphael Müller; Tyler Weirick; David John; Giuseppe Militello; Wei Chen; Stefanie Dimmeler; Shizuka Uchida
Journal:  Sci Rep       Date:  2016-09-01       Impact factor: 4.379

4.  Isoform-specific promotion of breast cancer tumorigenicity by TBX3 involves induction of angiogenesis.

Authors:  Milica Krstic; Haider M Hassan; Bart Kolendowski; M Nicole Hague; Pieter H Anborgh; Carl O Postenka; Joseph Torchia; Ann F Chambers; Alan B Tuck
Journal:  Lab Invest       Date:  2019-09-30       Impact factor: 5.662

5.  Examining SNP-SNP interactions and risk of clinical outcomes in colorectal cancer using multifactor dimensionality reduction based methods.

Authors:  Aaron Curtis; Yajun Yu; Megan Carey; Patrick Parfrey; Yildiz E Yilmaz; Sevtap Savas
Journal:  Front Genet       Date:  2022-08-03       Impact factor: 4.772

Review 6.  Long Non-coding RNAs in Endothelial Biology.

Authors:  Tyler Weirick; Giuseppe Militello; Shizuka Uchida
Journal:  Front Physiol       Date:  2018-05-14       Impact factor: 4.566

  6 in total

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