Prognostic importance of the preoperative modified systemic inflammation score for patients with gastric cancer

Ji, Lin; Lin, Jie; Xie, Jian‐Wei; Wang, Jia-Bin; Lü, Jun; Chen, Qi‐Yue; Cao, Long‐Long; Ma, Lin; Tu, Ru‐Hong; Zheng, Chao-Hui; Huang, Chang‐Ming; Li, Ping

doi:10.1007/s10120-018-0854-6

Cited by 77 publications

(78 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…54 Recently, several research groups have established new predictive models to more accurately and quickly predict the prognosis of gastric cancer patients. 55,56 In this study, nine lncRNAs (AC018647.3, MAGI2-AS3, MIR99AHG, NR2F1-AS1, LINC00106, PVT1, RP5-1074L1.4, RP11-7K24.3, and RP11-999E24.3) were found to be associated with the overall survival of patients. Among these lncRNAs, PVT1 is one of the best studied lncRNAs.…”

Section: Discussionmentioning

confidence: 62%

Integrated analysis of a ceRNA network reveals potential prognostic lncRNAs in gastric cancer

et al. 2020

Cancer Medicine

View full text Add to dashboard Cite

Long noncoding RNAs (lncRNAs) have important biological functions as competing endogenous RNAs (ceRNAs) in tumors, yet the functions and regulatory mechanisms of lncRNA‐related ceRNAs in gastric cancer have not been fully elucidated. In this study, we constructed a lncRNA‐miRNA‐mRNA ceRNA network and identified potential lncRNA biomarkers in gastric cancer. Basing on the RNA profiles downloaded from The Cancer Genome Atlas (TCGA) platform, the gastric cancer‐specific differentially expressed lncRNAs, miRNAs, and mRNAs were screened for constructing a ceRNA network using bioinformatic tools. The enrichment analysis of the biological processes in Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes pathways was performed on the ceRNA‐related DEmRNAs. According to the modularization of protein‐protein interaction (PPI) network, we extracted a ceRNA subnetwork and analyzed the correlation between the expression of the lncRNAs involved and specific clinical features of patients. Next, the expression of highly up‐regulated in liver cancer (HULC) and RP11‐314B1.2 showed significant changes in several pathological processes involved in gastric cancer, and nine lncRNAs were found to be correlated with the overall survival of patients with gastric cancer. Through the univariate and multivariate Cox regression analyses, two lncRNAs (LINC00106 and RP11‐999E24.3) were identified and utilized to establish a risk score model for assessing the prognosis of patients. The analysis results were also partially verified using quantitative real‐time PCR. The findings from this study indicate that HULC, RP11‐314B1.2, LINC00106, and RP11‐999E24.3 could be considered as potential therapeutic targets or prognostic biomarkers in gastric cancer, and provide a new perspective for cancer pathogenesis research.

show abstract

Section: Discussionmentioning

confidence: 62%

Integrated analysis of a ceRNA network reveals potential prognostic lncRNAs in gastric cancer

et al. 2020

Cancer Medicine

View full text Add to dashboard Cite

show abstract

“…The inflammatory markers included NLR, PLR, LMR, SII CAR, mGPS, PI and mSIS, and the nutritional markers included serum albumin (Alb), BMI and PNI. All these markers were calculated or rated as described previously [7][8][9][10][11][12][13] ( Supplementary Table 1).…”

Section: Data Managementmentioning

confidence: 99%

“…In addition, many efforts have been made to identify the prognostic markers for gastric cancer using other clinical, physiological or pathological parameters. Among them, the inflammatory markers [i.e., neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII), C-reactive protein-albumin ratio (CAR), modified Glasgow Prognostic Score (mGPS), Prognostic Index (PI), modified systemic inflammation score (mSIS)] and the nutritional markers [i.e., body mass index (BMI) and prognostic nutrition index (PNI)] were documented to have some values in prognosis prediction [7][8][9][10][11][12][13][14]. Summarily, the elevated inflammatory and the deteriorated nutritional status could predict worse outcomes for gastric cancer patients without any neoadjuvant treatments.…”

Section: Introductionmentioning

confidence: 99%

The clinical value and usage of inflammatory and nutritional markers in survival prediction for gastric cancer patients with neoadjuvant chemotherapy and D2 lymphadenectomy

Ying

et al. 2020

Gastric Cancer

View full text Add to dashboard Cite

Background The clinical values of inflammatory and nutritional markers remained unclear for gastric cancer with neoadjuvant chemotherapy (NACT). Methods The inflammatory, nutritional markers and their changes were analyzed for locally advanced gastric cancer with NACT. The predictive value was evaluated by the Cox proportional hazards regressions under three hypothesized scenarios. The nomograms including independent prognostic factors were plotted for survival prediction. Results A total of 225 patients were included in the study. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index, and hemoglobin (Hgb) were significantly reduced, and the body mass index was significantly increased after NACT (all P < 0.05). The pre-NACT NLR [hazard ratio (HR) = 1.176, P = 0.059] showed a trend to correlate with the overall survival (OS) when only pre-NACT markers available; The post-NACT Hgb (HR = 0.982, P = 0.015) was the independent prognostic factor when only post-NACT markers available; The post-NACT Hgb (HR = 0.984, P = 0.025) and the change value of LMR (HR = 1.183, P = 0.036) were the independent prognostic factors when both pre-and post-NACT markers available. The nomogram had a similar Harrell's C-statistic compared to ypTNM stage (0.719 vs. 0.706). Conclusion For locally advanced gastric cancer, the NACT could significantly decrease some inflammatory markers. The pre-NACT NLR, the post-NACT Hgb and the change value of LMR had some values in survival prediction combined with age, sex, tumor location and the clinical stages under different clinical scenarios. The elevated initial NLR, the preoperative anemia and the greater change value of LMR implied a poor prognosis.

show abstract

“…In recent years, some studies have explored the relationship between different inflammatory markers and the prognosis of patients with GC. [7][8][9][10] The lymphocyteto-monocyte ratio (LMR), neutrophil-to-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) are the most easily obtained inflammatory markers and can be obtained from complete blood count (CBC) testing, which is a convenient method for dynamic preoperative and postoperative repeated measurements. [11][12][13][14] As potential markers for predicting the prognosis and guiding the treatment of patients with GC, they reflect the complex interactions between the local immune response and systemic inflammatory response (SIR) in the tumor microenvironment.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Changes in Pre- and Postoperative Levels of Inflammatory Markers and Their Effects on the Prognosis of Patients with Gastric Cancer

Wang

Huang

et al. 2021

Journal of Gastrointestinal Surgery

Self Cite

View full text Add to dashboard Cite

Background Whether the change of the pre-and postoperative systemic inflammatory response (SIR) levels will affect the prognosis of gastric cancer (GC) is unclear. We aimed to investigate the dynamic changes in the pre-and postoperative SIR and their prognostic value for GC. Methods The clinicopathological data from 2257 patients who underwent radical gastrectomy between January 2009 and December 2014 at Fujian Medical University Union Hospital (FMUUH) were analyzed. Perioperative SIR changes were reported as changes in the lymphocyte-monocyte ratio (LMR), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII). Results The SIR levels showed different trends from postoperative months 1 to 12. Multivariate analysis showed that preoperative (pre)-LMR was an independent predictor for the prognosis (P = 0.024). The postoperative 12-month (post-12-month) LMR predicted the 5-year overall survival (OS) rate with the highest accuracy (areas under the curve [AUC] 0.717). Patients were divided into four groups according to the optimal cutoff of the preoperative and post-12-month LMR: high pre-LMR to high postoperative (post)-LMR group, high pre-LMR to low post-LMR group, low pre-LMR to high post-LMR group, and low pre-LMR to low post-LMR group. The survival analysis showed 5-year OS rate was significantly higher in patients with high post-12-month LMR than in patients with low post-12-month LMR, regardless of pre-LMR levels (81.6% vs. 44.2%, P < 0.001). The prognostic accuracy was significantly improved by incorporating the post-12-month LMR in the tumor-node-metastasis (TNM) staging system (P = 0.003). Conclusions The remeasurement of LMR at post-12-month is helpful in predicting the long-term survival of GC.

show abstract

Prognostic importance of the preoperative modified systemic inflammation score for patients with gastric cancer

Abstract: The preoperative mSIS is a novel, simple and useful prognostic factor for postoperative survival in patients with GC and can be used as a part of the preoperative risk stratification process to improve the prediction of clinical outcomes.

Cited by 77 publications

References 31 publications

Integrated analysis of a ceRNA network reveals potential prognostic lncRNAs in gastric cancer

Integrated analysis of a ceRNA network reveals potential prognostic lncRNAs in gastric cancer

The clinical value and usage of inflammatory and nutritional markers in survival prediction for gastric cancer patients with neoadjuvant chemotherapy and D2 lymphadenectomy

Dynamic Changes in Pre- and Postoperative Levels of Inflammatory Markers and Their Effects on the Prognosis of Patients with Gastric Cancer

Contact Info

Product

Resources

About