Author of

• 11645

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  P2.08 - Poster Session 2 - Radiotherapy (ID 198)

  • Event: WCLC 2013
  • Type: Poster Session
  • Track: Radiation Oncology + Radiotherapy
  • Presentations: 1
  • Moderators:
  • Coordinates: 10/29/2013, 09:30 - 16:30, Exhibit Hall, Ground Level

  • 11646

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    P2.08-001 - Start of phase transition "norm---early lung cancer" significantly depended on blood immune cell circuit (ID 85)

    09:30 - 09:30  |  Author(s): O. Kshivets
    • Abstract

    Background
    Significance of blood immune cell circuit for start of phase transition (PT) “norm---early lung cancer” (LC) was investigated.

    Methods
    In trial (1987-2012) consecutive cases after radical surgery (R0, bi/lobectomies=48, N2-lymphadenectomies=48; squamous=21, adenocarcinoma=25, large cell=2; G1=16, G2=21, G3=11), monitored 48 early LC patients (LCP) (age=59±6.5 years, m=40, f=8; T1AN0M0=48, tumor size=1.7±0.3 cm, 5-year survival=100%) and 120 healthy donors (m=69, f=51) were reviewed. Variables selected for study were input levels of immunity blood parameters. The percentage, absolute count and total population number (per human organism) of T, B, CD4, CD8, CD16, CD1, CDw26, monocytes, CD4+2H, CD8+VV, leukocytes, lymphocytes, monocytes, eosinophils, stick and segmented neutrophils were estimated. The laboratory blood studies also included input levels of NST (tests of oxygen dependent metabolism of neutrophils spontaneous and stimulated by Staphylococcus aureus or by Streptococcus pyogenes), index of stimulation of leukocytes by Staphylococcus aureus or Streptococcus pyogenes, index of thymus function, phagocytic number, phagocyte index, index of complete phagocytosis. Differences between groups were evaluated using discriminant analysis, clustering, structural equation modeling, Monte Carlo, bootstrap simulation and neural networks computing.

    Results
    It was revealed that start of PT “norm---early lung cancer” significantly depended on T-, B-, CD16-, CD8- cell circuit, neutrophils, monocyte circuit (P=0.000-0.027). Neural networks computing, genetic algorithm selection and bootstrap simulation revealed relationships of PT “norm---early lung cancer” and neutrophils (rank=1), CD16 (rank=2), monocytes (3), lymphocytes (4), CD4 (5), CD8 (6), B-cells (7), T-cells (8), eosinophils (9). Correct detection of start of PT “norm---early lung cancer” was 100% by neural networks computing (error=0.000; urea under ROC curve=1.0).

    Conclusion
    Start of phase transition “norm---early lung cancer” significantly depended on blood immune cell circuit.