IDEAS home Printed from https://ideas.repec.org/a/bpj/sagmbi/v11y2012i4n9.html
   My bibliography  Save this article

Testing clonality of three and more tumors using their loss of heterozygosity profiles

Author

Listed:
  • Ostrovnaya Irina

    (Memorial Sloan-Kettering Cancer Center)

Abstract

Cancer patients often develop multiple malignancies that may be either metastatic spread of a previous cancer (clonal tumors) or new primary cancers (independent tumors). If diagnosis cannot be easily made on the basis of the pathology review, the patterns of somatic mutations in the tumors can be compared. Previously we have developed statistical methods for testing clonality of two tumors using their loss of heterozygosity (LOH) profiles at several candidate markers. These methods can be applied to all possible pairs of tumors when multiple tumors are analyzed, but this strategy can lead to inconsistent results and loss of statistical power. In this work we will extend clonality tests to three and more malignancies from the same patient. A non-parametric test can be performed using any possible subset of tumors, with the subsequent adjustment for multiple testing. A parametric likelihood model is developed for 3 or 4 tumors, and it can be used to estimate the phylogenetic tree of tumors. The proposed tests are more powerful than combination of all possible pairwise tests.

Suggested Citation

  • Ostrovnaya Irina, 2012. "Testing clonality of three and more tumors using their loss of heterozygosity profiles," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(4), pages 1-30, July.
  • Handle: RePEc:bpj:sagmbi:v:11:y:2012:i:4:n:9
    DOI: 10.1515/1544-6115.1757
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/1544-6115.1757
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.1515/1544-6115.1757?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Colin B. Begg & Kevin H. Eng & Amanda J. Hummer, 2007. "Statistical Tests for Clonality," Biometrics, The International Biometric Society, vol. 63(2), pages 522-530, June.
    2. Irina Ostrovnaya & Venkatraman E. Seshan & Colin B. Begg, 2008. "Comparison of Properties of Tests for Assessing Tumor Clonality," Biometrics, The International Biometric Society, vol. 64(4), pages 1018-1022, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Irina Ostrovnaya & Audrey Mauguen & Venkatraman E. Seshan & Colin B. Begg, 2021. "Testing tumors from different anatomic sites for clonal relatedness using somatic mutation data," Biometrics, The International Biometric Society, vol. 77(1), pages 283-292, March.
    2. Audrey Mauguen & Venkatraman E. Seshan & Irina Ostrovnaya & Colin B. Begg, 2018. "Estimating the probability of clonal relatedness of pairs of tumors in cancer patients," Biometrics, The International Biometric Society, vol. 74(1), pages 321-330, March.
    3. Irina Ostrovnaya & Venkatraman E. Seshan & Colin B. Begg, 2008. "Comparison of Properties of Tests for Assessing Tumor Clonality," Biometrics, The International Biometric Society, vol. 64(4), pages 1018-1022, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:sagmbi:v:11:y:2012:i:4:n:9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.