Identification of an ACK1/TNK2-based prognostic signature for colon cancer to predict survival and inflammatory landscapes.

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Title: Identification of an ACK1/TNK2-based prognostic signature for colon cancer to predict survival and inflammatory landscapes.
Authors: Kong, Defeng1 (AUTHOR), Li, Guoliang1 (AUTHOR), Yang, Zhenrong1 (AUTHOR), Cheng, Shujun1 (AUTHOR), Zhang, Wen2 (AUTHOR) zhangwen@cicams.ac.cn, Feng, Lin1 (AUTHOR) fenglin@cicams.ac.cn, Zhang, Kaitai1 (AUTHOR) zhangkt@cicams.ac.cn
Source: BMC Cancer. 1/20/2022, Vol. 22 Issue 1, p1-12. 12p.
Database: Academic Search Ultimate
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An: 154791339
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  Data: Identification of an ACK1/TNK2-based prognostic signature for colon cancer to predict survival and inflammatory landscapes.
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  Data: <searchLink fieldCode="JN" term="%22BMC+Cancer%22">BMC Cancer</searchLink>. 1/20/2022, Vol. 22 Issue 1, p1-12. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=154791339
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1186/s12885-021-09165-w
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 1
    Titles:
      – TitleFull: Identification of an ACK1/TNK2-based prognostic signature for colon cancer to predict survival and inflammatory landscapes.
        Type: main
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          Name:
            NameFull: Kong, Defeng
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            NameFull: Li, Guoliang
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            NameFull: Yang, Zhenrong
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            NameFull: Cheng, Shujun
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            NameFull: Zhang, Wen
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            NameFull: Feng, Lin
      – PersonEntity:
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            NameFull: Zhang, Kaitai
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            – D: 20
              M: 01
              Text: 1/20/2022
              Type: published
              Y: 2022
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          Titles:
            – TitleFull: BMC Cancer
              Type: main
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