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Risk score for non-small cell lung cancer patients starting checkpoint inhibitor treatment.
Diem, Stefan; Fässler, Mirjam; Hasan Ali, Omar; Siano, Marco; Niederer, Rebekka; Berner, Fiamma; Roux, Guillaume-Alexandre; Ackermann, Christoph Jakob; Schmid, Sabine; Güsewell, Sabine; Früh, Martin; Flatz, Lukas.
Afiliación
  • Diem S; Department of Oncology/Haematology, Kantonsspital St. Gallen, St. Gallen, Switzerland, lukas.flatz@gmail.com, stefan.diem@kssg.ch.
  • Fässler M; Institute of Immunobiology, Kantonsspital St. Gallen, St. Gallen, Switzerland, lukas.flatz@gmail.com, stefan.diem@kssg.ch.
  • Hasan Ali O; Department of Oncology/Haematology, Spital Grabs, St. Gallen, Switzerland, stefan.diem@kssg.ch.
  • Siano M; Institute of Immunobiology, Kantonsspital St. Gallen, St. Gallen, Switzerland, lukas.flatz@gmail.com, stefan.diem@kssg.ch.
  • Niederer R; Institute of Immunobiology, Kantonsspital St. Gallen, St. Gallen, Switzerland, lukas.flatz@gmail.com, stefan.diem@kssg.ch.
  • Berner F; Department of Dermatology, University Hospital Zürich, Zürich, Switzerland, lukas.flatz@gmail.com.
  • Roux GA; Department of Oncology/Haematology, Kantonsspital St. Gallen, St. Gallen, Switzerland, lukas.flatz@gmail.com, stefan.diem@kssg.ch.
  • Ackermann CJ; Institute of Immunobiology, Kantonsspital St. Gallen, St. Gallen, Switzerland, lukas.flatz@gmail.com, stefan.diem@kssg.ch.
  • Schmid S; Institute of Immunobiology, Kantonsspital St. Gallen, St. Gallen, Switzerland, lukas.flatz@gmail.com, stefan.diem@kssg.ch.
  • Güsewell S; Institute of Immunobiology, Kantonsspital St. Gallen, St. Gallen, Switzerland, lukas.flatz@gmail.com, stefan.diem@kssg.ch.
  • Früh M; Department of Oncology/Haematology, Kantonsspital St. Gallen, St. Gallen, Switzerland, lukas.flatz@gmail.com, stefan.diem@kssg.ch.
  • Flatz L; Department of Oncology/Haematology, Kantonsspital St. Gallen, St. Gallen, Switzerland, lukas.flatz@gmail.com, stefan.diem@kssg.ch.
Cancer Manag Res ; 10: 5537-5544, 2018.
Article en En | MEDLINE | ID: mdl-30519101
BACKGROUND: Prognosis of metastatic non-small cell lung cancer significantly improved with the availability of checkpoint inhibitors (anti-PD-1/PD-L1). Unfortunately, reliable biomarkers to predict treatment benefit are lacking. PATIENTS AND METHODS: We prospectively collected clinical and laboratory data of 56 non-small cell lung cancer patients treated with a checkpoint inhibitor. The aim was to identify baseline parameters correlating with worse outcome and to create a risk score that enabled to stratify patients into different risk groups. As inflammation is known to promote tumor growth, we focused on inflammation markers in the blood. Disease control (DC) was defined as complete response, partial response, and stable disease on CT scan according to RECIST 1.1. RESULTS: Half of the patients achieved DC. Four parameters differed significantly between the DC group and the no disease control group: Eastern Cooperative Oncology Group performance status (P=0.009), number of organs with metastases (P=0.001), lactate dehydrogenase (P=0.029), and ferritin (P=0.005). A risk score defined as the number of these parameters (0= no risk factor) exceeding a threshold (Eastern Cooperative Oncology Group performance status ≥2, number of organs with metastases ≥4, lactate dehydrogenase ≥262U/L, and ferritin ≥241 µg/L) was associated with overall survival and progression-free survival. Overall survival at 6 and 12 months is as follows: Scores 0-1: 95% and 95%; Score 2: 67% and ≤33%; Scores 3-4: 15% and 0%. Progression-free survival at 6 and 12 months is as follows: Scores 0-1: 81% and 50%; Score 2: 25% and ≤25%; Scores 3-4: 0% and 0%. CONCLUSION: We propose an easy-to-apply risk score categorizing patients into different risk groups before treatment start with a PD-1/PD-L1 antibody.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancer Manag Res Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancer Manag Res Año: 2018 Tipo del documento: Article