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Oleg Kshivets



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    P63 - Tumor Biology and Systems Biology - Basic and Translational Science - Metastases (ID 201)

    • Event: WCLC 2020
    • Type: Posters
    • Track: Tumor Biology and Systems Biology - Basic and Translational Science
    • Presentations: 1
    • Moderators:
    • Coordinates: 1/28/2021, 00:00 - 00:00, ePoster Hall
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      P63.01 - Lymph Node Metastases of Lung Cancer and Blood Cell Circuit (ID 660)

      00:00 - 00:00  |  Presenting Author(s): Oleg Kshivets

      • Abstract
      • Slides

      Introduction

      Significance of blood cell circuit in terms of detection of non-small cell lung cancer (LC) patients (LCP) with lymph node metastases was investigated.

      Methods

      We analyzed data of 757 consecutive LCP (age=57.6±8.2 years; tumor size=4.1±2.4 cm) radically operated (R0) and monitored in 1985-2020 (m=654, f=103; upper lobectomies=272, lower lobectomies=176, middle lobectomies=18, bilobectomies=42, pneumonectomies=249, mediastinal lymph node dissection=757; combined procedures with resection of trachea, carina, atrium, aorta, VCS, vena azygos, pericardium, liver, diaphragm, ribs, esophagus=192; T1=317, T2=251, T3=132, T4=57; N0=509, N1=130, N2=118, M0=757; G1=194, G2=238, G3=325; squamous=415, adenocarcinoma=292, large cell=50. Variables selected for study were input levels of blood cell circuit, sex, age, TNMG. Differences between groups were evaluated using discriminant analysis, clustering, nonlinear estimation, structural equation modeling, Monte Carlo, bootstrap simulation and neural networks computing.

      Results

      It was revealed that separation of LCP with lymph node metastases (n=248) from LCP without metastases (n=509) significantly depended on: leucocytes (abs, total), segmented neutrophils (%, abs, total), lymphocytes (%), ESS, Rh, coagulation time, prothrombin index, fibrinogen, heparin tolerance, cell ratio factors (CRF) (ratio between cancer cells- CC and blood cells subpopulations), T, G, tumor size (P=0.047-0.000). Neural networks computing, genetic algorithm selection and bootstrap simulation revealed relationships of lymph node metastases and CRF: healthy cells/CC (rank=1), segmented neutrophils/CC (2), leucocytes/CC (3), erythrocytes/CC (4), lymphocytes/CC (5), thrombocytes/CC (6), eosinophils/CC (7), monocytes/CC (8), stick neutrophils/CC (9). Correct classification N0—N12 was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).

      Conclusion

      Lymph node metastases significantly depended on blood cell circuit.

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