Prognostic value of the Glasgow prognostic score in colorectal cancer: a meta-analysis of 9,839 patients

Lu, Xin; Guo, Wanying; Xu, Wei; Zhang, Xuelei; Shi, Zhijie; Zheng, Leizhen; Zhao, Wenzhao

doi:10.2147/cmar.s185350

Cited by 58 publications

(46 citation statements)

References 66 publications

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“…There is increasing evidence to suggest that the elevation of some clinical inflammatory factors predicts prognoses in tumor patients, and that combinations of inflammatory factors further improves the efficacy of prognosis prediction. The NLR, lymphocyte to monocyte ratio (LMR), and Glasgow prognostic score (GPS) have been reported to be associated with clinical outcomes in patients with various cancers (Kubo et al, 2016;Lu et al, 2019;Tan et al, 2018). Recently, Jafri, Shi & Mills (2013).…”

Section: Discussionmentioning

confidence: 99%

The advanced lung cancer inflammation index predicts short and long-term outcomes in patients with colorectal cancer following surgical resection: a retrospective study

Xie

Huang

Yuan

et al. 2020

PeerJ

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Background and Purpose Several studies have proposed that the advanced lung cancer inflammation index (ALI), a new inflammation-related index, can be used for the prognosis assessment of various malignancies. However, few studies have reported its prognostic value in colorectal cancer (CRC). Therefore, this study explored the relationship between ALI and outcomes in CRC patients. Methods A total of 662 CRC patients who underwent surgery between 2012 and 2014 were included. The ALI was defined as: body mass index × serum albumin/neutrophil to lymphocyte ratio. The X-tile program identified the optimal cut-off value of ALI. Logistic regression analyses determined factors affecting postoperative complications. The Kaplan–Meier method and Cox proportional hazards analyses evaluated potential prognostic factors. Results The optimal cut-off of ALI in males and females were 31.6 and 24.4, respectively. Low-ALI was an independent risk factor for postoperative complications in CRC patients (odds ratio: 1.933, 95% CI [1.283–2.911], p = 0.002). Low-ALI groups also had significantly lower progression-free survival (PFS) and overall survival (OS), when compared with the high-ALI group, especially at advance tumor stages. Using multivariate analysis, ALI was determined as an independent prognostic factor for PFS (hazard ratio: 1.372, 95% CI [1.060–1.777], p = 0.016) and OS (hazard ratio: 1.453, 95% confidence interval: 1.113–1.898, p = 0.006). Conclusion ALI is an independent predictor of short and long-term outcomes in CRC patients, especially at advance tumor stages. The ALI-based nomograms can provide accurate and individualized prediction of postoperative complication risk and survival for CRC patients.

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Section: Discussionmentioning

confidence: 99%

The advanced lung cancer inflammation index predicts short and long-term outcomes in patients with colorectal cancer following surgical resection: a retrospective study

Xie

Huang

Yuan

et al. 2020

PeerJ

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“…Fourth, although there was no significant association between [ 18 F]FDG uptake of BM and hemoglobin level, hematopoiesis of red blood cells might confound [ 18 F]FDG uptake of BM [17,21,25]. Finally, because of the retrospective nature of the study, we could not assess the relationship of [ 18 F]FDG uptake of BM with the other well-known prognostic factors for systemic inflammatory response such as the Glasgow prognostic score which has been found to be associated with poor prognosis in patients with malignant diseases including breast cancer [43,44]. Therefore, further prospective studies with laboratory as well as histopathologic results are needed to elucidate the connection between BM metabolism on PET/CT and systemic inflammatory response.…”

Section: Discussionmentioning

confidence: 99%

[18F]FDG uptake of bone marrow on PET/CT for predicting distant recurrence in breast cancer patients after surgical resection

et al. 2020

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Background: The objective of this study was to investigate the prognostic value of 2-Deoxy-2-[ 18 F]fluoro-D-glucose ([ 18 F]FDG) uptake of bone marrow (BM) and metabolic parameters of primary tumor on positron emission tomography/computed tomography (PET/CT) for predicting distant recurrence in patients with breast cancer. Methods: Pretreatment [ 18 F]FDG PET/CT images of 345 breast cancer patients were retrospectively evaluated. Maximum standardized uptake value, metabolic tumor volume, and total lesion glycolysis (TLG) of primary breast cancer and bone marrow-to-liver uptake ratio (BLR) on PET/CT were measured. A Cox proportional hazard regression model was used to evaluate the prognostic potential of parameters for predicting recurrence-free survival (RFS) and distant RFS. For Kaplan-Meier analysis, the specific cutoff values pf BLR and TLG were determined by the maximal chi-square method. Results: The median follow-up duration of the enrolled patients was 48.7 months, and during follow-up, 36 patients (10.4%) experienced the cancer recurrence. BLR was significantly correlated with T stage, serum inflammatory markers, and recurrence pattern (p < 0.05). Patients with high BLR and TLG showed worse RFS and distant RFS than those with low BLR and TLG. On multivariate analysis, BLR was significantly associated with both RFS and distant RFS after adjusting for T stage, estrogen receptor status, and TLG (p = 0.001 for both). Only 0.5% of patients with TLG < 9.64 g and BLR < 0.91 experienced distant recurrence. However, patients with TLG ≥ 9.64 g and BLR ≥ 0.91 had a distant recurrence rate of 40.7%. Conclusions: BLR on pretreatment [ 18 F]FDG PET/CT were significant predictors for RFS and distant RFS in patients with breast cancer. By combining [ 18 F]FDG uptake of BM and volumetric PET/CT index of breast cancer, the risk of distant recurrence could be stratified.

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“…Cancer progression is associated with a high level of systemic inflammation [37]. Many studies have shown that serum inflammatory markers, such as C-reactive protein (CRP) [38][39][40], the NLR [41][42][43], the platelet-tolymphocyte ratio [44,45], the Glasgow Prognostic Score (GPS) [46,47], and the systemic immune-inflammation index [48,49], are related to the clinical outcomes of cancer patients. Low body weight and hypoproteinemia are also both associated with persistent systemic inflammation [50][51][52], and the BMI and ALB have also been confirmed as effective prognostic markers for cancer patients [53,54].…”

Section: Discussionmentioning

confidence: 99%

Prognostic role of the advanced lung cancer inflammation index in cancer patients: a meta-analysis

Hua

Chen

et al. 2019

World J Surg Onc

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Background: Inflammation plays a critical role in the development and progression of cancers. The advanced lung cancer inflammation index (ALI) is thought to be able to reflect systemic inflammation better than current biomarkers. However, the prognostic significance of the ALI in various types of cancer remains unclear. Our metaanalysis aimed to comprehensively investigate the relationship between the ALI and oncologic outcomes to help physicians better assess the prognosis of cancer patients. Methods: The PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, and Wanfang databases were searched for relevant studies. Hazard ratios (HRs) with 95% confidence intervals (95% CIs) were calculated and pooled from the included studies. Furthermore, a sensitivity analysis was performed to evaluate the reliability of the articles. Finally, Begg's test, Egger's test, and the funnel plot were applied to assess the significance of publication bias. Results: In total, 1736 patients from nine studies were included in our meta-analysis. The median cutoff value for the ALI was 23.2 (range, 15.5-37.66) in the analyzed studies. The meta-analysis showed that there was a statistically significant relationship between a low ALI and worse overall survival (OS) in various types of cancer (HR = 1.70, 95% CI = 1.41-1.99, P < 0.001). Moreover, results from subgroup meta-analysis showed that the ALI had a significant prognostic value in non-small cell lung cancer, small cell lung cancer, colorectal cancer, head and neck squamous cell carcinoma, and diffuse large B cell lymphoma (P < 0.05 for all). Conclusions: These results showed that a low ALI was associated with poor OS in various types of cancer, and the ALI could act as an effective prognostic biomarker in cancer patients.

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Prognostic value of the Glasgow prognostic score in colorectal cancer: a meta-analysis of 9,839 patients

Cited by 58 publications

References 66 publications

The advanced lung cancer inflammation index predicts short and long-term outcomes in patients with colorectal cancer following surgical resection: a retrospective study

The advanced lung cancer inflammation index predicts short and long-term outcomes in patients with colorectal cancer following surgical resection: a retrospective study

[18F]FDG uptake of bone marrow on PET/CT for predicting distant recurrence in breast cancer patients after surgical resection

Prognostic role of the advanced lung cancer inflammation index in cancer patients: a meta-analysis

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