Preoperative anemia predicts poor prognosis in patients with endometrial cancer: A systematic review and meta-analysis

Abu‐Zaid, Ahmed; Alomar, Osama; Abuzaid, Mohammed; Baradwan, Saeed; Salem, Hany; Al‐Badawi, Ismail A.

doi:10.1016/j.ejogrb.2021.01.038

Cited by 27 publications

(19 citation statements)

References 34 publications

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“… 9 , 18 For example, low RBC count was a risk factor of deep myometrial invasion in endometrioid endometrial carcinoma (EEC), 9 and preoperative anemia predicts poor survival outcomes in patients with endometrial cancer. 19 Preoperative low RBC count showed a negative association with tumor size in oral cancer. 20 The bloodstream is a major pathway for the dissemination of cancer cells, especially in patients with tongue cancer.…”

Section: Introductionmentioning

confidence: 92%

A Prognostic Model Based on Clinicopathological Features and Inflammation- and Nutrition-Related Indicators Predicts Overall Survival in Surgical Patients With Tongue Squamous Cell Carcinoma

Wei

Huang

Lin

et al. 2021

Technol Cancer Res Treat

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Objectives: It is reported that inflammation- and nutrition-related indicators have a prognostic impact on multiple cancers. Here we aimed to identify a prognostic nomogram model for prediction of overall survival (OS) in surgical patients with tongue squamous cell carcinoma (TSCC). Methods: The retrospective data of 172 TSCC patients were charted from the Cancer Hospital of Shantou University Medical College between 2008 and 2019. A Cox regression analysis was performed to determine prognostic factors to establish a nomogram and predict OS. The predictive accuracy of the model was analyzed by the calibration curves and the concordance index (C-index). The difference of OS was analyzed by Kaplan–Meier survival analysis. Results: Multivariate analysis showed age, tumor node metastasis (TNM) stage, red blood cell, platelets, and platelet-to-lymphocyte ratio were independent prognostic factors for OS, which were used to build the prognostic nomogram model. The C-index of the model for OS was 0.794 (95% CI = 0.729-0.860), which was higher than that of TNM stage 0.685 (95% CI = 0.605-0.765). In addition, decision curve analysis also showed the nomogram model had improved predictive accuracy and discriminatory performance for OS, compared to the TNM stage. According to the prognostic model risk score, patients in the high-risk subgroup had a lower 5-year OS rate than that in a low-risk subgroup (23% vs 49%, P < .0001). Conclusions: The nomogram model based on clinicopathological features inflammation- and nutrition-related indicators represents a promising tool that might complement the TNM stage in the prognosis of TSCC.

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Section: Introductionmentioning

confidence: 92%

A Prognostic Model Based on Clinicopathological Features and Inflammation- and Nutrition-Related Indicators Predicts Overall Survival in Surgical Patients With Tongue Squamous Cell Carcinoma

Wei

Huang

Lin

et al. 2021

Technol Cancer Res Treat

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“…Iron‐mediated cell death (ferroptosis) is a kind of nonapoptotic cell death driven by iron‐dependent phospholipid peroxidation and is regulated and controlled by multiple cellular metabolic pathways, in which it functions as a key mechanism of tumour suppression 3 . Recent studies have found that preoperative anaemia predicts poor prognosis in patients with UCEC, which suggests that dysregulated iron homeostasis may play a critical role in the development of UCEC 4 . To date, the precise molecular mechanism that links UCEC and ferroptosis remains unclear.…”

Section: Introductionmentioning

confidence: 99%

“… 3 Recent studies have found that preoperative anaemia predicts poor prognosis in patients with UCEC, which suggests that dysregulated iron homeostasis may play a critical role in the development of UCEC. 4 To date, the precise molecular mechanism that links UCEC and ferroptosis remains unclear.…”

Section: Introductionmentioning

confidence: 99%

High expression of the ferroptosis‐associated MGST1 gene in relation to poor outcome and maladjusted immune cell infiltration in uterine corpus endometrial carcinoma

Yan

2022

Clinical Laboratory Analysis

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Background Uterine corpus endometrial carcinoma (UCEC) tightly correlates with dysregulated iron homeostasis. MGST1 (microsomal glutathione S‐transferase 1) involves in the regulation of oxidative stress and plays a key role in inhibiting iron‐mediated cell death in cancer cells. Hence, we aimed to illuminate the characteristics of MGST1 expression and prognosis in UCEC using bioinformatics prediction to provide novel perspectives for theoretical supplementation and ferroptosis‐based immunotherapy. Methods We retrieved MGST1 expression data via several public data portals. The relationships between MGST1 expression and clinicopathologic characteristics as well as survival time were evaluated via multivariate methods and Kaplan–Meier survival curves. The MGST1‐interacting protein–protein interaction was also established by the STRING website. The TIMER and GEPIA databases were used to illustrate the association between MGST1 expression and infiltrated immune cells. We used the MethSurv website and the UALCAN website to determine the relationship between MGST1 expression and DNA methylation. Results MGST1 overexpression in UCEC compared with normal tissues correlates with different histological types, a lack of hormone therapy and poor survival time. MGST1 interacts with several ferroptosis‐related proteins. Overexpression of MGST1 was accompanied by lower levels of NK cell and CD8+ T cell infiltration, higher myeloid‐derived suppressor cell infiltration and different immunocytes with corresponding markers. Hypermethylation and low promoter methylation cooperate to regulate MGST1 expression. Conclusion Elevated MGST1 expression is related to tumour development and poor prognosis, as well as dysregulated infiltration of immune cells in UCEC, which can be a potential prognostic indicator and ferroptosis‐based immunotherapy target.

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“…Despite advancements in medical devices and treatments, endometrial carcinoma deaths have continued to rise over the past decade. The uncertainty of recurrences and prognoses still confuses clinicians ( Lu and Broaddus, 2020 ; Abu-Zaid et al, 2021 ). To evaluate the prognosis of endometrial carcinoma patients, traditional risk assessment methods are far from sufficient.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive analysis focusing on cuproptosis to investigate its clinical and biological relevance in uterine corpus endometrial carcinoma and its potential in indicating prognosis

Tian

Tan

et al. 2022

Front. Mol. Biosci.

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Cuproptosis, a novel copper-dependent cell death involving mitochondrial respiration, is distinct from other known death mechanisms, which inspires us to study further in uterine corpus endometrial carcinoma (UCEC). Herein, leveraging comprehensive data from TCGA-UCEC, we conducted transcriptional and genetic analyses of 13 recently identified cuproptosis genes. We discovered severe genetic instability of cuproptosis genes, extensive positive correlations among those genes with each other at the mRNA level, and their involvement in oncogenic pathways in UCEC samples. Next, WGCNA was performed to identify a potential module regulating cuproptosis, in which the hub genes, in addition to 13 cuproptosis genes, were drawn to construct a scoring system termed Cu. Score. Furthermore, its clinical and biological relevance and tumor immune landscape, genetic alterations, as well as predicted sensitivity of chemotherapy drugs in different Cu. Score subgroups had been discussed extensively and in detail. Additionally, univariate Cox and LASSO regression were performed to identify 13 cuproptosis-related prognostic genes to establish a prognostic signature, the Risk. Score. Integrating the Risk. Score and clinical parameters, we established a nomogram with excellent performance to predict the 1-/3-/5-year survival probabilities of UCEC patients. To conclude, we conducted a comprehensive analysis encompassing cuproptosis and developed a cuproptosis scoring system and a prognostic prediction model for UCEC, which may offer help with individualized assessment and treatment for UCEC patients from the perspective of a novel death mechanism.

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Preoperative anemia predicts poor prognosis in patients with endometrial cancer: A systematic review and meta-analysis

Cited by 27 publications

References 34 publications

A Prognostic Model Based on Clinicopathological Features and Inflammation- and Nutrition-Related Indicators Predicts Overall Survival in Surgical Patients With Tongue Squamous Cell Carcinoma

A Prognostic Model Based on Clinicopathological Features and Inflammation- and Nutrition-Related Indicators Predicts Overall Survival in Surgical Patients With Tongue Squamous Cell Carcinoma

High expression of the ferroptosis‐associated MGST1 gene in relation to poor outcome and maladjusted immune cell infiltration in uterine corpus endometrial carcinoma

A comprehensive analysis focusing on cuproptosis to investigate its clinical and biological relevance in uterine corpus endometrial carcinoma and its potential in indicating prognosis

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