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Summary

Excerpt
The Cancer Genome Atlas (TCGA) Breast Phenotype Research Group is part of the CIP Cancer Imaging Project TCGA Radiology Initiative; an effort to build a research community focused on analyzing images from the TCGA-BRCA collection. These images correlate to the Breast Invasive Carcinoma (BRCA) data in the TCGA Data Portal.

According to The Cancer Genome Atlas page on invasive breast cancers researchers have:

  • Described new integrated insights into the four standard molecular subtypes of breast cancer: HER2-enriched, Luminal A, Luminal B, and Basal-like
    • Also, identified mutated genes that are specific to each subtype
  • Found that the Basal-like subtype shares many genetic features with high-grade serous ovarian cancer suggesting that the cancers have a common molecular origin and may share therapeutic opportunities
  • Performed computational analyses that suggest that Basal-like breast cancer and serous ovarian cancer might both be susceptible to two types of cancer treatment
    • A drug that inhibits blood vessel growth, cutting off the blood supply to the tumor
    • Bioreductive drugs, which are inactive drugs that become toxic to cancer cells under low oxygen conditions

Research and Publications

Data Source

Status

TCGA Data Portal Publication Guidelines

No restrictions; all data available without limitations

TCIA Data Usage Policies and Restrictions

No restrictions; all data available without limitations

Please contact us at cancerimagingarchive@mail.nih.gov if you have any questions about these policies.

TCGA Breast Marker Paper and Image Source Sites (ISS)

connecting cancer phenotypes to genotypes by providing clinical images matched to tissue specimens analyzed for The Cancer Genome Atlas (TCGA).

Imaging Source Site (ISS) Groups will be populated are being formed and governed by participants from institutions that have provided imaging data to the archive for a given cancer type. Modeled after TCGA analysis groups, these ISS groups are given the opportunity to publish a marker paper for a given cancer type per the aforementioned publication policy. It is hoped that this type per the guidelines in the table above. This opportunity will generate increased participation in the building of these multi-institutional data sets that as they become an open community resource.  Current  Current (TCGA-BRCA source ) The Cancer Genome Atlas Breast Invasive Carcinoma Collection source sites include:

  • Mayo Clinic
  • Roswell Park Cancer Institute
  • Memorial Sloan-Kettering Cancer CenterMemorialSloan-KetteringCancerCenter
  • University of Pittsburgh/UPMC
  • University of Miami Health System

The ISS group has also been collaborating with the University of Chicago to conduct quantitative MRI phenotyping efforts.  Please contact Dr. Elizabeth Morris (morrise@mskcc.org) if you have scientific questions you would like to direct to the for TCGA-BRCA ISS or are interested in collaborating with their group.

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Publications

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TCGA

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Breast Phenotype Research Group Publications

  • Guo W, Li H, Zhu Y, Lan L, Yang S, Drukker K, Morris E, Burnside E, Whitman G, Giger ML*, Ji Y*:  Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data.  J Medical Imaging 2(4), 041007 (Oct-Dec 2015).
  • Burnside E, Drukker K, Li H, Bonaccio E, Zuley M, Ganott M, Net JM, Sutton E, Brandt K, Whitman G, Conzen S, Lan L, Ji Y, Zhu Y, Jaffe C, Huang E, Freymann J, Kirby J, Morris EA*, Giger ML*:  Using computer-extracted image phenotypes from tumors on breast MRI to predict breast cancer pathologic stage. Cancer doi: 10.1002/cncr.29791, 2015.
  • Zhu Y, Li H, Guo W, Drukker K, Lan L, Giger ML*, Ji Y*:  Deciphering genomic underpinnings of quantitative MRI-based radiomic phenotypes of invasive breast carcinoma.  Nature – Scientific Reports 5:17787. doi: 10.1038/srep17787, 2015.
  • Li H, Zhu Y, Burnside ES, …. Perou CM, Ji Y*, Giger ML*:  MRI radiomics signatures for predicting the risk of breast cancer recurrence as given by research versions of gene assays of MammaPrint, Oncotype DX, and PAM50.  Radiology DOI: http://dx.doi.org/10.1148/radiol.2016152110, 2016.
  • Li H, Zhu Y, Burnside ES, …. Perou CM, Ji Y, Giger ML:  Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA Dataset. npj Breast Cancer (2016) 2, 16012; doi:10.1038/npjbcancer.2016.12; published online 11 May 2016.

Publications written by other members of the research community can be found on our TCIA Publications page.  If you have a manuscript you’d like to add please contact TCIA’s Helpdesk.

TCGA Genomics Publications

 Read the Cell paper about the TCGA-BRCA genomic study.  Additional TCGA publications can be found at: http://cancergenome.nih.gov/publications.

Publication Policies

Per TCGA and TCIA Guidelines, formal permission requests are no longer required to submit publications using TCGA-BRCA data.  Please see the following links for more information about the freedom-to-publish criteria for these data sets:

Data Source

Status

TCGA Data Portal Publication Guidelines

No restrictions; all data available without limitations.

TCIA Data Usage Policies and Restrictions

No restrictions; all data available without limitations.

Please contact us at help@cancerimagingarchive.net if you have any questions about these policies.

 

 

The following links contain publications from the main TCGA project, as well as their posted publication guidelines.

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