Prognostic Significance of the Preoperative Controlled Nutritional Status Score in Lung Cancer Patients Undergoing Surgical Resection

Shao, Jingjing; Li, Jing; Zhang, Xun Lei; Wang, Gao‐Ren

doi:10.1080/01635581.2020.1850814

Cited by 10 publications

(6 citation statements)

References 31 publications

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“…Studies have shown that the interaction between VEGF, PGF, TGF-B, and Fib can induce cancer cell proliferation, metastasis, angiogenesis and inhibiting apoptosis. [36], and prealbumin levels can also be used to indicate chronic inflammation and nutritional status in patients [37]. A persistent inflammatory state is thought to promote tumor angiogenesis and cancer cell proliferation through the tumor microenvironment to contribute to tumorigenesis and cancer progression [38], and persistent organismal malnutrition leads to weakened organismal resistance to tumors.…”

Section: Discussionmentioning

confidence: 99%

Construction and validation of a prognostic prediction model for hepatectomy of hepatocellular carcinoma by preoperative fibrinogen to prealbumin ratio（FPR）

Ling,

Yu,

Zhao

et al. 2024

Preprint

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Purpose To enhance the prognostic prediction of patients following hepatectomy, our study aimed to investigate potential predictors of postoperative prognosis in hepatocellular carcinoma (HCC) patients and develop a nomogram model capable of effectively predicting their postoperative prognosis Methods Data from 1056 HCC patients who underwent hepatectomy from January 2014 to 2018 in December were retrospectively studied. The preoperative fibrinogen and prealbumin results were collected from all patients, and the preoperative fibrinogen to prealbumin ratio(FPR)was calculated. The optimal cutoff value method was used to differentiate between the high and low FPR groups, and the nomogram prognostic model of the patients was constructed by combining with the results of the postoperative pathology examination and other results. Results According to the best cut-off value, the FPR groups were divided into high and low FPR groups with a cut-off value of 0.019, and the high FPR group was associated with poor prognosis of the patients. Barcelona (BCLC) stage, microvascular invasion (MVI), and pathologic grade were independent predictors after hepatectomy in patients with HCC. Combining FPR and, these factor variables to create a prognostic nomogram, the model was confirmed to have a good fit while showing good performance with C-indexes of 0.736 and 0.754 for the training and validation sets, respectively. Conclusion A novel and validated nomogram was constructed by FPR combined with tumor staging and postoperative pathology results for predicting the prognosis of HCC patients after hepatectomy.

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Section: Discussionmentioning

confidence: 99%

Construction and validation of a prognostic prediction model for hepatectomy of hepatocellular carcinoma by preoperative fibrinogen to prealbumin ratio（FPR）

Ling,

Yu,

Zhao

et al. 2024

Preprint

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“…The CONUT score is an index related to ALB concentration, lymphocyte count, and TC concentration. Studies have shown that the CONUT score is strongly correlated with the survival rate of patients with thyroid cancer; it is also an independent risk factor for lung cancer prognosis[ 25 , 43 ]. NPS is an index related to serum ALB concentration, TC concentration, LMR, and NLR and has been proven to be a predictor of OS in a variety of tumors.…”

Section: Discussionmentioning

confidence: 99%

Prognostic value of preoperative immune-nutritional scoring systems in remnant gastric cancer patients undergoing surgery

Zhang¹,

Wang²,

Li³

et al. 2023

World J Gastrointest Surg

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BACKGROUND Remnant gastric cancer (GC) is defined as GC that occurs five years or more after gastrectomy. Systematically evaluating the preoperative immune and nutritional status of patients and analyzing its prognostic impact on postoperative remnant gastric cancer (RGC) patients are crucial. A simple scoring system that combines multiple immune or nutritional indicators to identify nutritional or immune status before surgery is necessary. AIM To evaluate the value of preoperative immune-nutritional scoring systems in predicting the prognosis of patients with RGC. METHODS The clinical data of 54 patients with RGC were collected and analyzed retrospectively. Prognostic nutritional index (PNI), controlled nutritional status (CONUT), and Naples prognostic score (NPS) were calculated by preoperative blood indicators, including absolute lymphocyte count, lymphocyte to monocyte ratio, neutrophil to lymphocyte ratio, serum albumin, and serum total cholesterol. Patients with RGC were divided into groups according to the immune-nutritional risk. The relationship between the three preoperative immune-nutritional scores and clinical characteristics was analyzed. Cox regression and Kaplan–Meier analysis was performed to analyze the difference in overall survival (OS) rate between various immune-nutritional score groups. RESULTS The median age of this cohort was 70.5 years (ranging from 39 to 87 years). No significant correlation was found between most pathological features and immune-nutritional status ( P > 0.05). Patients with a PNI score < 45, CONUT score or NPS score ≥ 3 were considered to be at high immune-nutritional risk. The areas under the receiver operating characteristic curves of PNI, CONUT, and NPS systems for predicting postoperative survival were 0.611 [95% confidence interval (CI): 0.460–0.763; P = 0.161], 0.635 (95%CI: 0.485–0.784; P = 0.090), and 0.707 (95%CI: 0.566–0.848; P = 0.009), respectively. Cox regression analysis showed that the three immune-nutritional scoring systems were significantly correlated with OS (PNI: P = 0.002; CONUT: P = 0.039; NPS: P < 0.001). Survival analysis revealed a significant difference in OS between different immune-nutritional groups (PNI: 75 mo vs 42 mo, P = 0.001; CONUT: 69 mo vs 48 mo, P = 0.033; NPS: 77 mo vs 40 mo, P < 0.001). CONCLUSION These preoperative immune-nutritional scores are reliable multidimensional prognostic scoring systems for predicting the prognosis of patients with RGC, in which the NPS system has relatively effective predictive performance.

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“…Interestingly, we also found a significant difference in other inflammatory prognostic indicators between RCS subgroups, as RCS 1 patients presented the highest NLR and lowest LMR, PNI, and ALI. Although it has not been extensively studied in stage I cases, the low levels of LMR [ 65 ], PNI [ 66 ], and ALI [ 67 ] have been found to be correlated with poor survival in patients after surgery, whereas the high level of NLR was found to be correlated with poor prognosis specifically in stage I cases [ 68 ]. These findings also support the notion that RCS 1 patients would have superior survival in our study.…”

Section: Discussionmentioning

confidence: 99%

A combined preoperative red cell distribution width and carcinoembryonic antigen score contribute to prognosis prediction in stage I lung adenocarcinoma

Lin

et al. 2023

World J Surg Onc

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Aims Hematological markers that can be used for prognosis prediction for stage I lung adenocarcinoma (LUAD) are still lacking. Here, we examined the prognostic value of a combination of the red cell distribution width (RDW) and carcinoembryonic antigen (CEA), namely, the RDW-CEA score (RCS), in stage I LUAD. Materials and methods A retrospective study with 154 patients with stage I LUAD was conducted. Patients were divided into RCS 1 (decreased RDW and CEA), RCS 2 (decreased RDW and increased CEA, increased RDW and decreased CEA), and RCS 3 (increased RDW and CEA) subgroups based on the best optimal cutoff points of RDW and CEA for overall survival (OS). The differences in other clinicopathological parameters among RCS subgroups were calculated. Disease-free survival (DFS) and OS among these groups were determined by Kaplan–Meier analysis, and risk factors for outcome were calculated by a Cox proportional hazards model. Results Seventy, 65, and 19 patients were assigned to the RCS 1, 2, and 3 subgroups, respectively. Patients ≥ 60 years (P < 0.001), male sex (P = 0.004), T2 stage (P = 0.004), and IB stage (P = 0.006) were more significant in the RCS 2 or 3 subgroups. The RCS had a good area under the curve (AUC) for predicting DFS (AUC = 0.81, P < 0.001) and OS (AUC = 0.93, P < 0.001). The DFS (log-rank = 33.26, P < 0.001) and OS (log-rank = 42.05, P < 0.001) were significantly different among RCS subgroups, with RCS 3 patients displaying the worst survival compared to RCS 1 or 2 patients. RCS 3 was also an independent risk factor for both DFS and OS. Conclusions RCS is a useful prognostic indicator in stage I LUAD patients, and RCS 3 patients have poorer survival. However, randomized controlled trials are needed to validate our findings in the future.

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Prognostic Significance of the Preoperative Controlled Nutritional Status Score in Lung Cancer Patients Undergoing Surgical Resection

Cited by 10 publications

References 31 publications

Construction and validation of a prognostic prediction model for hepatectomy of hepatocellular carcinoma by preoperative fibrinogen to prealbumin ratio（FPR）

Construction and validation of a prognostic prediction model for hepatectomy of hepatocellular carcinoma by preoperative fibrinogen to prealbumin ratio（FPR）

Prognostic value of preoperative immune-nutritional scoring systems in remnant gastric cancer patients undergoing surgery

A combined preoperative red cell distribution width and carcinoembryonic antigen score contribute to prognosis prediction in stage I lung adenocarcinoma

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