This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research article
Zhao-de Bu
Corresponding Author
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Background Studies have shown that inflammation-associated blood cell markers are associated with prognoses in a variety of tumors. However, the prognostic significance of these markers for gastric cancer (GC) is still not very clear. This article aims to explore its value of GC prognostic assessment.
Methods From July 2011 to July 2016, 353 GC patients with surgical treatment were enrolled in this retrospective study. Patients’ demographics were analyzed along with clinical and pathologic data. The chi-square test was used to evaluate relationships between the markers and other clinicopathological variables; The Kaplan–Meier method and Cox regression proportional hazard model were performed to evaluate prognostic factors.
Results Univariate analysis indicated T stage, N stage, vascular tumor thrombus, tumor long diameter, Bormann Classification, preoperative MWR (monocyte/leukocyte ratio), preoperative serum CEA levels are prognostic factors for GC. Multivariate analysis showed that preoperative MWR, tumor differentiation, and tumor length were independent prognostic factors in patients with GC. The boundary value of MWR is 0.8.
Conclusion Preoperative MWR was convenient, simple marker of gastric cancer, might be useful for the evaluation of prognosis of patients with GC. Comparing with TNM stage, tumor differentiation was a more reliable pathological factor evaluating recurrence.
Keywords
Gastric cancer, Biomarker, prognosis, inflammation
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research article
Zhao-de Bu
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 23 Jun, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Oncology
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background Studies have shown that inflammation-associated blood cell markers are associated with prognoses in a variety of tumors. However, the prognostic significance of these markers for gastric cancer (GC) is still not very clear. This article aims to explore its value of GC prognostic assessment.
Methods From July 2011 to July 2016, 353 GC patients with surgical treatment were enrolled in this retrospective study. Patients’ demographics were analyzed along with clinical and pathologic data. The chi-square test was used to evaluate relationships between the markers and other clinicopathological variables; The Kaplan–Meier method and Cox regression proportional hazard model were performed to evaluate prognostic factors.
Results Univariate analysis indicated T stage, N stage, vascular tumor thrombus, tumor long diameter, Bormann Classification, preoperative MWR (monocyte/leukocyte ratio), preoperative serum CEA levels are prognostic factors for GC. Multivariate analysis showed that preoperative MWR, tumor differentiation, and tumor length were independent prognostic factors in patients with GC. The boundary value of MWR is 0.8.
Conclusion Preoperative MWR was convenient, simple marker of gastric cancer, might be useful for the evaluation of prognosis of patients with GC. Comparing with TNM stage, tumor differentiation was a more reliable pathological factor evaluating recurrence.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
This is a list of supplementary files associated with this preprint. Click to download.
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