Data_Sheet_4_Predicting Outcomes From Radical Radiotherapy for Non-small Cell Lung Cancer: A Systematic Review of the Existing Literature.DOCX Gerard M. Walls Gerard G. Hanna Fang Qi Sai Zhao Jun Xia Mohammed T. Ansari David Landau 10.3389/fonc.2018.00433.s004 https://frontiersin.figshare.com/articles/dataset/Data_Sheet_4_Predicting_Outcomes_From_Radical_Radiotherapy_for_Non-small_Cell_Lung_Cancer_A_Systematic_Review_of_the_Existing_Literature_DOCX/7784456 <p>Radical radiotherapy (RT) is a potentially curative treatment in non-small cell lung cancer (NSCLC) and is delivered in conventional 2-Gy fractions, hypofractionated and ablative stereotactic courses. No reliable, predictive biomarkers for the clinical events of local control, appearance of distant metastases and development of toxicity have been introduced in routine clinical practice. Such a test would enable the Radiotherapist to tailor the clinical management of individual patients, considering their pre-treatment characteristics, in order reduce the risk of recurrence or toxicity e.g., dose modification, accelerated fractionation, hypofractionation, or concurrent systemic therapy. The aim of this review was to map the published literature relating to investigations of the potential predictive value of patient or treatment characteristics in radical RT for NSCLC. These investigations should remain a research focus for disease control given the upward trends in lung cancer incidence, and for the avoidance of toxicity, given the survivorship afforded to the cohort of patients that do well with radical RT, or with the increasing range of systemic agents following metastatic relapse. The conclusion of the presented analysis is that there are no published, effective and validated predictive tools for estimation of risk of local/distant recurrence or toxicity after radical RT for NSCLC. The authors have identified an important space for future research in the field of lung cancer radiotherapy.</p> 2019-02-28 14:43:33 radical radiotherapy lung cancer predictive biomarker outcomes literature map