Preoperative Plasma Fibrinogen and Serum Albumin Score Is an Independent Prognostic Factor for Resectable Stage II-III Gastric Cancer

Wu, Menghui; Pan, Yuchen; Jia, Zhifang; Wang, Yueqi; Yang, Na; Mu, Jianfeng; Zhou, Tianyu; Guo, Yaohua; Jiang, Jing; Cao, Xueyuan

doi:10.1155/2019/9060845

Cited by 20 publications

(17 citation statements)

References 45 publications

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“…ALB and TP are markers reflecting nutritional status [20]. Correlation analysis in the current study demonstrated that in lung cancer patients ANC and MPV were negatively weakly correlated with ALB and TP, respectively, which showed that the inflammatory stage of lung cancer might be related to nutritional insufficiency.…”

Section: Discussionsupporting

confidence: 51%

Absolute Neutrophil Count and Mean Platelet Volume in the Blood as Biomarkers to Detect Lung Cancer

2020

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Objective. Inflammation plays an extremely considerable role in the development and progression of malignancies. Absolute neutrophil count (ANC) and mean platelet volume (MPV) in blood are associated with various inflammatory conditions and resulted in independent prognostic factors for lung cancer. However, whether ANC and MPV can be diagnostic markers for lung cancer remains unknown. This retrospective study investigated the roles of ANC and MPV, either alone or combined, in diagnosing lung cancer. Methods. This study analyzed data from lung cancer patients and healthy individuals in Wuxi People’s Hospital Affiliated with Nanjing Medical University. The Mann–Whitney U-test was performed to compare differences between lung cancer patients and healthy individuals. Spearman’s correlation analysis was used to assess correlations. Receiver operating characteristic (ROC) curves were performed to determine diagnostic accuracy. Results. 209 patients diagnosed with lung cancer and 236 healthy subjects were enrolled in this study. Levels of ANC and MPV increased in lung cancer patients compared with healthy individuals (P<0.001). ANC had statistically significant negative weak correlation with albumin concentrations (r=‐0.154, P=0.026), and MPV had statistically significant negative weak correlation with total protein concentrations (r=‐0.153, P=0.027) in lung cancer patients. ANC and neutrophil-to-lymphocyte ratio had statistically significant positive correlation in both lung cancer patients (r=0.756, P<0.001) and healthy subjects (r=0.639, P<0.001). MPV and platelet-to-lymphocyte ratio had statistically significant negative weak correlation in both lung cancer patients (r=‐0.242, P<0.001) and healthy subjects (r=‐0.325, P<0.001). ANC had sensitivity (SEN) and specificity (SPE) of 0.512 and 0.809, respectively, and the area under the curve (AUC) with 95% confidence interval (95% CI) was 0.656 (0.603-0.710). SEN and SPE of MPV were 0.928 and 0.708, respectively, and the AUC (95% CI) was 0.913 (0.889-0.938). When ANC and MPV were combined, SEN and SPE became 0.842 and 0.835, respectively, and the AUC (95% CI) became 0.919 (0.895-0.943). Conclusions. Compared with ANC or MPV alone, the combination of ANC and MPV can improve diagnostic ability to distinguish lung cancer patients from healthy subjects.

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Section: Discussionsupporting

confidence: 51%

Absolute Neutrophil Count and Mean Platelet Volume in the Blood as Biomarkers to Detect Lung Cancer

2020

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“…ALB is one of the most common parameters in evaluating immunological and nutritional status, and the ALB reduction is considered to be associated with systemic inflammation affecting hepatocyte catabolism and anabolism (Carr and Guerra, 2017;Fernández et al, 2019;Yoshida et al, 2020). Low serum albumin levels may also reflect poor hepatic functional reserve, influence the patient's tolerance to operation, and result in worse prognosis (Wu et al, 2019). TL is an important parameter of immune condition and plays an important role in antitumor immunity by inducing cytotoxicity and inhibiting tumor cell growth, migration, and invasion (Sarvaria et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, cachexia, as a complex and multifactorial syndrome, affects about 50%-80% of cancer patients and is related to 20%-40% of cancer deaths (Freire et al, 2019). Multiple nutritional assessment systems, including Naples Prognostic Score (NPS), Nutritional Risk Screening (NRS), body mass index (BMI), albumin (ALB), and prognostic nutritional index (PNI), have emerged with the aim of detecting and predicting the clinical outcomes of gastric cancer patients (Li et al, 2019;Wu et al, 2019;Bae, 2020;Park et al, 2020;Xiong et al, 2020). It is also reported that immunological status is associated with the patient's prognosis (Sato et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Controlling Nutritional Status (CONUT) Predicts Survival in Gastric Cancer Patients With Immune Checkpoint Inhibitor (PD-1/PD-L1) Outcomes

et al. 2022

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Objective: The controlling nutritional status (CONUT), based on total lymphocyte count (TL), total cholesterol level (T-CHOL), and serum albumin (ALB), can provide a useful immunological prognostic biomarker for cancer patients. The present study aims to investigate the correlation between CONUT and prognosis in gastric cancer patients receiving immune checkpoint inhibitor (ICI) treatment.Methods: We retrospectively enrolled 146 patients with gastric cancer treated with ICIs (PD-1/PD-L1 inhibitors) from August 2016 to December 2020. The clinicopathologic characteristics were analyzed by Chi-square test or Fisher’s exact test. The Kaplan–Meier and log-rank test were used to calculate and compare progression-free survival (PFS) and overall survival (OS). The prognostic and predictive factors of PFS and OS were identified by univariate and multivariate analyses. A nomogram was developed to estimate 1-, 3-, and 5-year PFS and OS probability.Results: Through the CONUT score, there were 75 (51.37%) patients in the low CONUT group and 71 (48.63%) patients in the high CONUT group. There was a correlation between the CONUT score and age (p = 0.005), pathology (p = 0.043), ALB (p = 0.020), PALB (p = 0.032), and Hb (p = 0.001). The CA724, TNM stage, and treatment (ICIs vs. chemotherapy) were the independent prognostic factors for PFS and OS by multivariate analyses. Patients with high CONUT score had poorer PFS and OS (χ2 = 3.238, p = 0.072, and χ2 = 4.298, p = 0.038). In the subgroup analysis, the patients with high CONUT score were associated with shorter PFS and OS with ICIs or chemotherapy. With the PD-1/PD-L1 positive expression, the patients with high CONUT score had shorter PFS and OS than those with low CONUT score. Furthermore, the patients with high CA724 value were associated with shorter PFS and OS. The toxicity assessment in ICIs or chemotherapy was significantly associated with anemia. The nomograms were constructed to predict the probability of 1-, 3-, and 5-year PFS, and 1-, 3-, and 5-year OS with C-indices of 0.749 and 0.769, respectively.Conclusion: The CONUT, as a novel immuno-nutritional biomarker, may be useful in identifying gastric cancer patients who are unlikely to benefit from ICI treatment.

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“…Many previous studies have demonstrated the potentials of various types of systemic inflammatory factors as markers for predicting prognosis of malignancies (16)(17)(18)(19)(20). Inflammation, malnutrition, and immune status are factors that affect tumor development and are closely related to the prognosis of gastric cancer patients (21). However, the long-term outcome of using combinations of systemic inflammatory factors detected in peripheral blood to predict lymph node metastasis and tumor prognosis in patients with gastric cancer has not been previously addressed in studies.…”

Section: Discussionmentioning

confidence: 99%

A New Scoring System to Predict Lymph Node Metastasis and Prognosis After Surgery for Gastric Cancer

et al. 2022

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BackgroundLymph node metastasis is one of the most important factors affecting the prognosis of gastric cancer patients. The purpose of this study is to develop a new scoring system to predict lymph node metastasis in gastric cancer using preoperative tests in various combinations of inflammatory factors and to assess the predictive prognosis value of the new scoring system for the postoperative gastric cancer patients.MethodThis study includes 380 gastric cancer patients, 307 in the training set and 73 in the validation set. We obtain three inflammatory markers, CRA (C-reactive protein/albumin), SIRI (systemic inflammatory response index), and PLR (platelets/lymphocytes), by calculating and comparing the results of preoperative laboratory tests. By using these three indicators, a new scoring system is developed to predict lymph node metastases, assess patients’ prognoses, and compare clinicopathological characteristics in different patient subgroups. A nomogram is constructed to show and assess the predictive efficacy of every index for lymph node metastasis and survival.ResultsIn the new scoring system, higher scores are associated with more advanced pathological stage (p < 0.001), perineural invasion (p < 0.001), and vascular invasion (p = 0.001). Univariate and multivariable Cox regression analyses show that perineural invasion, vascular invasion, smoking history, and high scores on the new scoring system are significant risk factors for OS and RFS. High-scoring subgroups as an independent prognostic factor could predict overall survival (OS) and relapse-free survival (RFS). High scores on the new scoring system are significantly associated with the degree of lymph node metastasis (p < 0.001). CAR and PLR play very important roles in predicting lymph node metastasis in gastric cancer. CAR is a vital major marker in the prediction of patient survival.ConclusionsThe new scoring system can effectively predict the patients’ lymph node metastasis with gastric cancer and can independently predict the prognosis of patients.

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Preoperative Plasma Fibrinogen and Serum Albumin Score Is an Independent Prognostic Factor for Resectable Stage II-III Gastric Cancer

Cited by 20 publications

References 45 publications

Absolute Neutrophil Count and Mean Platelet Volume in the Blood as Biomarkers to Detect Lung Cancer

Absolute Neutrophil Count and Mean Platelet Volume in the Blood as Biomarkers to Detect Lung Cancer

Controlling Nutritional Status (CONUT) Predicts Survival in Gastric Cancer Patients With Immune Checkpoint Inhibitor (PD-1/PD-L1) Outcomes

A New Scoring System to Predict Lymph Node Metastasis and Prognosis After Surgery for Gastric Cancer

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