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      Effects of STAT3 polymorphisms and pharmacokinetics on the clinical outcomes of gefitinib treatment in patients with EGFR‐mutation positive non‐small cell lung cancer

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      https://www.riss.kr/link?id=O113196270

      • 저자
      • 발행기관
      • 학술지명
      • 권호사항
      • 발행연도

        2020년

      • 작성언어

        -

      • Print ISSN

        0269-4727

      • Online ISSN

        1365-2710

      • 등재정보

        SCI;SCIE;SCOPUS

      • 자료형태

        학술저널

      • 수록면

        652-659   [※수록면이 p5 이하이면, Review, Columns, Editor's Note, Abstract 등일 경우가 있습니다.]

      • 구독기관
        • 전북대학교 중앙도서관  
        • 성균관대학교 중앙학술정보관  
        • 부산대학교 중앙도서관  
        • 전남대학교 중앙도서관  
        • 제주대학교 중앙도서관  
        • 중앙대학교 서울캠퍼스 중앙도서관  
        • 인천대학교 학산도서관  
        • 숙명여자대학교 중앙도서관  
        • 서강대학교 로욜라중앙도서관  
        • 계명대학교 동산도서관  
        • 충남대학교 중앙도서관  
        • 한양대학교 백남학술정보관  
        • 이화여자대학교 중앙도서관  
        • 고려대학교 도서관  
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      부가정보

      다국어 초록 (Multilingual Abstract)

      We investigated the correlations among signal transducer and activator of transcription 3 (STAT3) rs4796793C >G polymorphism, gefitinib pharmacokinetics and clinical responses in Japanese patients with non‐small cell lung cancer receiving gefitinib therapy.
      Forty‐five patients were enrolled in this study. Plasma trough concentrations (C0) of gefitinib at the steady‐state were measured by high‐performance liquid chromatography.
      Patients having a gefitinib C0 of at least ≥200 ng/mL had significantly longer PFS than patients having a C0 of <200 ng/mL (median [95% confidence interval (CI)] PFS: 11.0 [8.2‐13.7] and 5.3 [0.0‐12.0] months, respectively, P = .042). There were no significant differences in PFS between patients with STAT3 rs4796793C/C and G alleles; however, patients with STAT3 rs4796793C/C having a gefitinib C0 of ≥ 200 ng/mL had significantly longer progression‐free survival (PFS) and overall survival (OS) than those with a C0 of <200 ng/mL (median [95% CI] PFS: 11.4 [4.1‐18.6] and 3.0 [0.0‐7.0] months, respectively, P = .008; median [95% CI] OS: 20.6 [7.4‐33.7] and 12.6 [10.1‐15.1] months, respectively, P = .042). In patients with the STAT3 rs4796793G allele, there were no significant differences in PFS and OS between the two gefitinib C0 groups. In addition, there were no significant differences in PFS or OS according to smoking, presence of proton pump inhibitor combination, or onset of side effects.
      Clinical outcomes of gefitinib in patients with the STAT3 rs4796793C/C genotype depended on plasma concentrations of gefitinib. In addition to information regarding EGFR mutations, the STAT3 rs4796793C >G polymorphism and gefitinib C0 may be potential predictors of clinical outcomes after beginning of gefitinib therapy.
      Kaplan‐Meier curves for PFS and OS in patients with STAT3 rs4796793C/C having a gefitinib C0 of ≥200 and <200 ng/mL. In patients with STAT3 rs4796793C/C, patients having a gefitinib C0 of ≥200 ng/mL had a significantly longer PFS and OS (P = .008 and .042, respectively).
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      We investigated the correlations among signal transducer and activator of transcription 3 (STAT3) rs4796793C >G polymorphism, gefitinib pharmacokinetics and clinical responses in Japanese patients with non‐small cell lung cancer receiving gefitin...

      We investigated the correlations among signal transducer and activator of transcription 3 (STAT3) rs4796793C >G polymorphism, gefitinib pharmacokinetics and clinical responses in Japanese patients with non‐small cell lung cancer receiving gefitinib therapy.
      Forty‐five patients were enrolled in this study. Plasma trough concentrations (C0) of gefitinib at the steady‐state were measured by high‐performance liquid chromatography.
      Patients having a gefitinib C0 of at least ≥200 ng/mL had significantly longer PFS than patients having a C0 of <200 ng/mL (median [95% confidence interval (CI)] PFS: 11.0 [8.2‐13.7] and 5.3 [0.0‐12.0] months, respectively, P = .042). There were no significant differences in PFS between patients with STAT3 rs4796793C/C and G alleles; however, patients with STAT3 rs4796793C/C having a gefitinib C0 of ≥ 200 ng/mL had significantly longer progression‐free survival (PFS) and overall survival (OS) than those with a C0 of <200 ng/mL (median [95% CI] PFS: 11.4 [4.1‐18.6] and 3.0 [0.0‐7.0] months, respectively, P = .008; median [95% CI] OS: 20.6 [7.4‐33.7] and 12.6 [10.1‐15.1] months, respectively, P = .042). In patients with the STAT3 rs4796793G allele, there were no significant differences in PFS and OS between the two gefitinib C0 groups. In addition, there were no significant differences in PFS or OS according to smoking, presence of proton pump inhibitor combination, or onset of side effects.
      Clinical outcomes of gefitinib in patients with the STAT3 rs4796793C/C genotype depended on plasma concentrations of gefitinib. In addition to information regarding EGFR mutations, the STAT3 rs4796793C >G polymorphism and gefitinib C0 may be potential predictors of clinical outcomes after beginning of gefitinib therapy.
      Kaplan‐Meier curves for PFS and OS in patients with STAT3 rs4796793C/C having a gefitinib C0 of ≥200 and <200 ng/mL. In patients with STAT3 rs4796793C/C, patients having a gefitinib C0 of ≥200 ng/mL had a significantly longer PFS and OS (P = .008 and .042, respectively).

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