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Bioinformatic Approach to Identify Potential TGFB2 -Dependent and Independent Prognostic Biomarkers for Ovarian Cancers Treated with Taxol.

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Title: Bioinformatic Approach to Identify Potential TGFB2 -Dependent and Independent Prognostic Biomarkers for Ovarian Cancers Treated with Taxol.
Authors: Qazi, Sanjive1 (AUTHOR) sanjive.qazi@autotelicinc.com, Richardson, Stephen1,2 (AUTHOR), Potts, Mike1 (AUTHOR), Myers, Scott1,2 (AUTHOR), Saund, Saran1 (AUTHOR), De, Tapas1 (AUTHOR), Trieu, Vuong1 (AUTHOR)
Source: International Journal of Molecular Sciences. Dec2025, Vol. 26 Issue 24, p11900. 29p.
Database: Academic Search Ultimate
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An: 190470166
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  Data: Bioinformatic Approach to Identify Potential TGFB2 -Dependent and Independent Prognostic Biomarkers for Ovarian Cancers Treated with Taxol.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Molecular+Sciences%22">International Journal of Molecular Sciences</searchLink>. Dec2025, Vol. 26 Issue 24, p11900. 29p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190470166
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/ijms262411900
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 29
        StartPage: 11900
    Titles:
      – TitleFull: Bioinformatic Approach to Identify Potential TGFB2 -Dependent and Independent Prognostic Biomarkers for Ovarian Cancers Treated with Taxol.
        Type: main
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            NameFull: Qazi, Sanjive
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            NameFull: Richardson, Stephen
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            NameFull: Potts, Mike
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            NameFull: Myers, Scott
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            NameFull: Saund, Saran
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            NameFull: De, Tapas
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            NameFull: Trieu, Vuong
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            – D: 15
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 26
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              Value: 24
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            – TitleFull: International Journal of Molecular Sciences
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