Author of

• 10583

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  P1.06 - Poster Session 1 - Prognostic and Predictive Biomarkers (ID 161)

  • Event: WCLC 2013
  • Type: Poster Session
  • Track: Biology
  • Presentations: 1
  • Moderators:
  • Coordinates: 10/28/2013, 09:30 - 16:30, Exhibit Hall, Ground Level

  • 10636

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    P1.06-053 - Clinical utility of circulating serum and plasma biomarkers for personalised radiotherapy treatment of non-small cell lung cancer (NSCLC) (ID 3098)

    09:30 - 09:30  |  Author(s): C. Hodgson
    • Abstract

    Background
    Personalised strategies that tailor radiotherapy (RT) dose and schedule according to clinical and molecular factors, novel drug-RT combinations and/or advanced RT techniques are needed to optimise outcomes from RT for NSCLC. Development of such approaches would benefit from objective measures to inform on survival, chance of response and/or toxicity. We evaluated 26 circulating proteins and cytokines implicated in angiogenesis, metastasis, apoptosis, hypoxia and inflammation for prognostic (survival), predictive (RT response/toxicity) and/or pharmacodynamic significance in the context of RT for stage I-III NSCLC.

    Methods
    NSCLC patients donated blood prior to, serially and on completion of RT treatment. Samples were analysed for cell death (M30, M65, CYFRA), hypoxia (osteopontin, CA-IX), angiogenesis (Ang2, FGFb, HGF, VEGFA, VEGFC, PDGF, IL8, PlGF, KGF, VEGFR1, VEGFR2, Ang1, Tie2), metastatic (EGF, E-Selectin, VCAM1) and inflammatory (IL1b, IL10, IL12, TNFa, IL6) cytokines using single- or multi-plex ELISAs (SearchLight multiplex Aushon BioSystems, Peviva, R&D Systems). Clinical data were collected for age, gender, performance and smoking status, ace27 co-morbidity score, weight loss, TNM stage, haemoglobin, treatment received, various lung function and RT treatment parameters, histology, treatment received, toxicity, response and survival. Standard statistical methods were used to explore for associations and prognostic significance (Stata version 10).

    Results
    Seventy-eight patients were enrolled from March 2010 to August 2011: 61% male; majority (44%) squamous histology; 82% PS 0 or 1; 72% ex-smoker; 9% stage I/II, 44% stage IIIA, 47% IIIB; median age 66 years (range 31-86), 42% age > 70; 20% weight loss of 5-10%, 11% weight loss >10%; 62% prior chemotherapy/sequential RT, 20% concurrent chemoradiotherapy, 18% radiotherapy alone. RT treatment doses administered ranged from 50-55Gy in 20 fractions to 60-66 Gy in 33 fractions. Significant associations (p<0.05) were observed for EGF levels with gender and age, for FGFb with co-morbidity score and for IL8, IL1B and KGF with smoking status. Positive correlations of biomarkers at baseline (p<0.001) were observed for TNFa with FGFb, IL1b, IL8, IL12; FGFb with IL1b, IL8, IL12 KGF; IL1b with IL8, IL12; IL8 with KGF, IL12; KGF with IL12. In the overall population, at day 8 during RT significant decreases were observed for Ang2, EGF, E Selectin, FGFb, HGF, VCAM1, VEGFC & VEGFR2. Post completion of RT Ang2, EGF, E Selectin, FGFb, HGF & VEGFC levels remained significantly lower than at baseline prior to RT, and in addition significant global decreases in Ang1 and VEGFA were observed. The median survival overall was 16.8 months at a median follow up of 12 months. In univariate analysis there were non-significant trends to worse survival for older patients, weight loss >5%, higher TNM stage, higher co-morbidity scores and current smokers. Better survival was observed for patients with higher baseline levels of IL1b (p = 0.005) and TNFa (p = 0.022).

    Conclusion
    Preliminary analysis demonstrates appreciable changes of various circulating biomarkers during RT and identifies interleukin-1 beta and tumor necrosis factor alpha as potential prognostic factors. Multivariate analyses and correlation of biomarkers with response and toxicity are ongoing and will be presented.