Kshivets O. Cancer, Synergetics and Immune Circuit

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Start of phase transition of early lung cancer into invasive cancer significantly depended on cell ratio factors

Text of Kshivets O. Cancer, Synergetics and Immune Circuit

  • Start of Phase Transition of EarlyLung Cancer intoInvasive CancerSignificantly Dependedon Cell Ratio FactorsOleg Kshivets, MD, PhD
  • Abstract:Start of phase transition of early lung cancer into invasive cancer significantlydepended on cell ratio factorsKshivets Oleg Central City Hospital, Kachkanar, Russia Background: Significance of immune cell circuit for start of phase transition (PT) of early lungcancer into invasive cancer (LC) was investigated. Material and methods: In trial (1987-2012) consecutive cases after radical surgery (R0,bi/lobectomies=97, N2-lymphadenectomies=97; squamous=38, adenocarcinoma=54, large cell=5; G1=33,G2=40, G3=24), monitored 97 LC patients (LCP) (age=58.38.2 years, m=83, f=14); 48 early LCP(T1AN0M0, tumor size=1.70.3 cm, 5-year survival=100%), 49 invasive LCP (T1BN0M0, tumorsize=2.90.1 cm, 5-year survival=77.6%). Variables selected for study were input levels of immunityblood parameters, sex, age, TNMG. The percentage, absolute count and total population number (perhuman organism) of CD3, CD19, CD4, CD8, CD16, CD1, CDw26, monocytes, CD4+2H, CD8+VV,leukocytes, lymphocytes, monocytes, eosinophils, stick and segmented neutrophils were estimated.Differences between groups were evaluated using discriminant analysis, clustering, structural equationmodeling, Monte Carlo, bootstrap simulation and neural networks computing. Results: It was revealed that start of PT earlyinvasive cancer significantly depended on cell ratiofactors (ratio between blood cells subpopulations and cancer cells-CC): segmented neutrophils/CC, stickneutrophils/CC, CD3/CC, CD4+2H/CC, CDw26/CC (P=0.001-0.039). Neural networks computing,genetic algorithm selection and bootstrap simulation revealed relationships of PT earlyinvasivecancer and segmented neutrophils/CC (rank=1), CD16/CC (rank=2), CD4/CC (3), CD19/CC (4),CD4/CC (5), monocytes/CC (6), CD4+2H/CC (7). Correct detection of start of PT earlyinvasivecancer was 100% by neural networks computing (error=0.000; urea under ROC curve=1.0). Conclusions: Start of phase transition earlyinvasive lung cancer significantly depended on cellratio factors.
  • Data: Males.83 Females.........14 Age=58.38.2 years Bi/Lobectomies with N2-Lymphadenectomies..97 Early Lung Cancer Patients (T1aN0M0; Tumor Size=1.70.3 cm; 5-year Survival=100%).48 Invasive Lung Cancer Patients (T1bN0M0; Tumor Size=2.90.1 cm; 5-year Survival=77.6%)49
  • Staging: T1a..48 N0....97 G133 T1b..49 N120 G240 M1.0 G324 Adenocarcinoma......................................54 Squamos Cell Carcinoma38 Large Cell Carcinoma...5 Early Cancer (T1aN0M0)48 Invasive Cancer (T1bN0M0)...49
  • Survival Rate: Alive....67 (69.1%) 5-Year Survivors....86 (88.7%) Losses..11 (11.3%) General Life Span=3983.5 1917.1 days For 5-Year Survivors=4398.5 1613.5 days For Losses=739.1 302.2 days Cumulative 5-Year Survival..88.7% Cumulative 10-Year Survival82.7%
  • Immune Testing:
  • Factors of Immune Cell Circuit in Recognition of PhaseTransition EarlyInvasive Lung Cancer (n=97)
  • General Lung Cancer Patients (T1abN0N0) Survivalafter Complete Bi/Lobectomies (Kaplan-Meier) (n=97)
  • Results of Univariate Analysis of Phase TransitionEarlyInvasive Cancer in Prediction of Lung CancerPatients Survival (n=97)
  • Results of Discriminant Fanction Analysis in Recognitionof Phase Transition EarlyInvasive Lung Cancer (n=97)
  • Results of Multi-Factor Clustering ofImmune and Blood Cell Factors inRecognition of Phase TransitionEarlyInvasive Lung Cancer (n=97)
  • Results of Multi-Factor Clustering in Recognition ofPhase Transition EarlyInvasive Lung Cancer (n=97) Logic Formulas Phase Transition EarlyInvasive Cancer. Early Lung Cancer 0.73