The preoperative platelet to neutrophil ratio and lymphocyte to monocyte ratio are superior prognostic indicators compared with other inflammatory biomarkers in ovarian cancer.

Background: Previous studies have suggested that the ratios of immune-inflammatory cells could serve as prognostic indicators in ovarian cancer. However, which of these is the superior prognostic indicator in ovarian cancer remains unknown. In addition, studies on the prognostic value of the platelet to neutrophil ratio (PNR) in ovarian cancer are still limited. Methods: A cohort of 991 ovarian cancer patients was analyzed in the present study. Receiver operator characteristic (ROC) curves were utilized to choose the optimal cut-off values of inflammatory biomarkers such as neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), platelet to lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and PNR. The correlation of inflammatory biomarkers with overall survival (OS) and relapse-free survival (RFS) was investigated by Kaplan-Meier methods and log-rank test, followed by Cox regression analyses. Results: Kaplan-Meier curves suggested that LMR<3.39, PLR≥181.46, and PNR≥49.20 had obvious associations with worse RFS (P<0.001, P=0.018, P<0.001). Multivariate analysis suggested that LMR (≥3.39 vs. <3.39) (P=0.042, HR=0.810, 95% CI=0.661-0.992) and PNR (≥49.20 vs. <49.20) (P=0.004, HR=1.351, 95% CI=1.103-1.656) were independent prognostic indicators of poor RFS. In addition, Kaplan-Meier curves indicated that PLR≥182.23 was significantly correlated with worse OS (P=0.039). Conclusion: Taken together, PNR and LMR are superior prognostic indicators compared with NLR, PLR, and SII in patients with ovarian cancer.

[Clinical significance of serum proteomic profiling before and after cervical cancer surgery].

OBJECTIVE: To investigate the value of serum proteomic profiling in cervical cancer detected pre-surgery and post-surgery. METHODS: Magnetic bead and matrix-assisted laser desorption/ionization-time of flight-mass spectrometry (MALDI-TOF-MS) were used to detect the serum samples from 54 cases with cervical cancer before and after surgery and 53 serum samples from healthy women. The results of spectra were analyzed by Biomarker Wizard software. RESULTS: Significant variation of proteomic profiling between pre-surgery and post-surgery were analyzed. There were 22 proteins with different mass/charge (M/Z) values significantly different (P < 0.01) at the M/Z value range from 1500 to 50 000, among of which relative content of proteins with M/Z 3981, 4290, and 28 066 in pre-surgery cervical cancer patients were higher than those in health women [(1.51 +/- 1.78)% vs (0.83 +/- 0.38)%, (2.70 +/- 2.19)% vs (1.72 +/- 0.91)%, (1.99 +/- 1.70)% vs (0.92 +/- 0.95)%; P < 0.01], while in the post-surgery patients, relative content of these three proteins significantly decreased to (0.59 +/- 0.45)%, (1.01 +/- 0.64)%, (0.54 +/- 0.37)%, respectively. But the relative content of another three proteins with M/Z 11 487, 11 529, and 11 678 were significantly increased in post-surgery patients [(0.38 +/- 1.41)% vs (2.74 +/- 3.67)%, (0.16 +/- 0.46)% vs (2.00 +/- 1.76)%, (1.02 +/- 1.67)% vs (7.71 +/- 9.46)%; P < 0.01]. CONCLUSION: Serum proteomic profiling could screen out the proteins which had significant variation between pre-surgery and post-surgery serum, of which with M/Z 3981, 4290, and 28 066 may be related with tumor burden, while with M/Z 11 487, 11 529, and 11 678 may be response to surgical stress.

Multi-symplectic integrator of the generalized KdV-type equation based on the variational principle.

The variational principle is used to construct a multi-symplectic structure of the generalized KdV-type equation. Accordingly, the local energy conservation law, the local momentum conservation law, and the Cartan form of the generalized KdV-type equation are given. An explicit multi-symplectic scheme for the generalized KdV equation based on the Fourier pseudo-spectral method and the symplectic Euler scheme is constructed. Through a numerical examination, the explicit multi-symplectic Fourier pseudo-spectral scheme for the generalized KdV equation not only preserve the discrete global energy conservation law and the global momentum conservation law with high accuracy, but show long-time numerical stability as well.