Effects of Prophylactic Administration of Granulocyte Colony-Stimulating Factor on Peripheral Leukocyte and Neutrophil Counts Levels After Chemotherapy in Patients With Early-Stage Breast Cancer: A Retrospective Cohort Study

Tian, Wei; Wang, Yali; Zhou, Yunxiang; Yao, Yanlai; Deng, Yongchuan

doi:10.3389/fonc.2022.777602

Cited by 5 publications

(6 citation statements)

References 56 publications

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“…[34] Those with complications such as hydrothorax or ascites have a worse prognosis. Due to the routine preventive application of leukopenia drugs, fewer patients delayed treatment due to leukopenia, [35][36][37] so we did not include white blood cell suppression in the model. In summary, hemoglobin suppression grade, platelet suppression grade, and liver function classi cation were included in the nal model.…”

Section: Clinical E Cacy Analysismentioning

confidence: 99%

A Prognostic Model Based on Nutritional Indexes for Patients with Pan-Carcinomas: A Real-World Cohort Study

Zheng¹,

Ruan³

et al. 2023

Preprint

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Background Cancer patients have a high incidence of malnutrition, but traditional nutritional screening tools have low sensitivity and specificity, so they cannot properly stratify patient prognosis. Thus, we aimed to identify the nutritional indexes associated with patient prognosis, construct a prognostic model, and develop a nomogram for predicting individual survival probability. Methods Based on real-world data, patients admitted to the Department of Chemotherapy & Radiotherapy in Taizhou Cancer Hospital from January 1, 2017, to July 1, 2020, were included in the analysis. We collected nutritional indicators, clinicopathological characteristics, and previous major treatment details of the patients. The enrolled patients were randomly divided into training and validation cohorts in a 7:3 ratio. Lasso regression cross-validation was used in the training cohort to determine the variables to include in the Cox regression model. The training cohort was used to build the prediction model, and the validation cohort was used to further verify the discrimination, calibration and clinical effectiveness of the model. Results A total of 2,020 patients were included. The median follow-up time was 33.48 months (IQR, [15.79, 56.73] months), and the median OS was 56.50 months (95% CI, 50.36–62.65 months). In the training cohort of 1,425 patients, through Lasso regression cross-validation, thirteen characteristics were included in the model: sex, age, baseline weight, food intake reduction grade, emerging disease, ECOG performance status, hospitalization frequency, prealbumin, albumin, clinical stage, hemoglobin suppression grade, platelet suppression grade, and liver function classification. Based on these factors, a Cox proportional hazards model was developed and visualized as a nomogram. The C-indexes of the model for predicting 1-, 3-, 5- and 10-year OS were 0.848, 0.826, 0.814 and 0.799 in the training cohort and 0.851, 0.819, 0.814, and 0.801 in the validation cohort. The model showed great calibration in the two cohorts. Patients with a score of less than 274.29 had a better prognosis (training cohort: HR, 6.932; 95% CI, 5.723–8.397; log-rank P < 0.001; validation cohort: HR, 8.429; 95% CI, 6.180-11.497; log-rank P < 0.001). Conclusions The prognostic model based on the nutritional indexes of patients with pan-carcinomas can divide patients into different survival risk groups and performed well in internal validation.

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Section: Clinical E Cacy Analysismentioning

confidence: 99%

A Prognostic Model Based on Nutritional Indexes for Patients with Pan-Carcinomas: A Real-World Cohort Study

Zheng¹,

Ruan³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Those with complications such as hydrothorax or ascites have a worse prognosis. Due to the routine preventive application of leukopenia drugs, fewer patients delayed treatment due to leukopenia [35][36][37], so we did not include white blood cell suppression in the model. In summary, hemoglobin suppression grade, platelet suppression grade, and liver function classi cation were included in the nal model.…”

Section: Clinical Utility Analysismentioning

confidence: 99%

A Prognostic Model Based on Nutritional Indexes for Patients with Pan-Cancer: A Real-World Cohort Study

Zheng¹,

Ruan

et al. 2023

Preprint

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Background We aimed to identify the nutritional indexes, construct a prognostic model, and develop a nomogram for predicting individual survival probability in pan-cancers. Methods We collected nutritional indicators, clinicopathological characteristics, and previous major treatment details of the patients. The enrolled patients were randomly divided into training and validation cohorts. Lasso regression cross-validation was used to determine the variables to include in the cox regression model. The training cohort was used to build the prediction model, and the validation cohort was used to further verify the discrimination, calibration and clinical effectiveness of the model. Results A total of 2,020 patients were included. The median OS was 56.50 months (95% CI, 50.36–62.65 months). In the training cohort of 1,425 patients, through Lasso regression cross-validation, thirteen characteristics were included in the model. Cox proportional hazards model was developed and visualized as a nomogram. The C-indexes of the model for predicting 1-, 3-, 5- and 10-year OS were 0.848, 0.826, 0.814 and 0.799 in the training cohort and 0.851, 0.819, 0.814, and 0.801 in the validation cohort. The model showed great calibration in the two cohorts. Patients with a score of less than 274.29 had a better prognosis (training cohort: HR, 6.932; 95% CI, 5.723–8.397; log-rank P < 0.001; validation cohort: HR, 8.429; 95% CI, 6.180-11.497; log-rank P < 0.001). Conclusions The prognostic model based on the nutritional indexes of pan-cancer can divide patients into different survival risk groups and performed well in validation cohort.

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“…Different types of white blood cells participate in the body's immune defense response in different ways. A previous retrospective study has provided preliminary evidence of a conceivable correlation between peripheral leukocyte and neutrophil counts and the clinical attributes of BC patients 19 . Larsson et al 20 reported significant associations between peripheral blood mononuclear cell populations and prognosis in patients afflicted with metastatic BC.…”

Section: Introductionmentioning

confidence: 97%

A Mendelian randomization-based approach to explore the relationship between leukocyte counts and breast cancer risk in European ethnic groups

Zhang,

Li,

2023

Sci Rep

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Exploring the potential association between peripheral blood leukocyte counts and breast cancer risk by Mendelian randomization (MR) analysis methods. Genetic data related to peripheral blood sorting counts of leukocytes were collected from a genome-wide association study by Blood Cell Consortium (BCX). Single nucleotide polymorphic loci predicting peripheral blood sorting counts of these leukocytes were selected as instrumental variables according to the correlation assumption, independence assumption and exclusivity assumption of MR. The data on breast cancer and its subtypes were obtained from Breast Cancer Association Consortium (BCAC) and FinnGen Consortium. In this study, the Inverse-Variance Weighted (IVW), Weighted Median, MR-Egger, Maximum Likelihood (ML), MR-PRESSO and Constrained Maximum Likelihood and Model Averaging (cML-MA) methods of random effects models were used for MR analysis. Cochran’s Q analysis, and MR-Egger intercept analysis were applied for sensitivity analysis. IVW and cML-MA were considered the primary analytical tools, and the results of the other 4 MRs were used as complementary and validation. The results suggest that there is no significant causal relationship between leukocyte count and breast cancer risk (IVW OR = 0.98 [95% CI: 0.93–1.03], p-value = 0.35; CML-MA OR = 1.01 [95% CI: 0.98–1.05], p-value = 0.51). In addition, we analyzed whether there was a potential correlation between the five main types of categorized leukocyte counts and different breast cancer subtypes. We did not find significant evidence to support a significant correlation between leukocyte counts and breast cancer subtypes.

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Effects of Prophylactic Administration of Granulocyte Colony-Stimulating Factor on Peripheral Leukocyte and Neutrophil Counts Levels After Chemotherapy in Patients With Early-Stage Breast Cancer: A Retrospective Cohort Study

Cited by 5 publications

References 56 publications

A Prognostic Model Based on Nutritional Indexes for Patients with Pan-Carcinomas: A Real-World Cohort Study

A Prognostic Model Based on Nutritional Indexes for Patients with Pan-Carcinomas: A Real-World Cohort Study

A Prognostic Model Based on Nutritional Indexes for Patients with Pan-Cancer: A Real-World Cohort Study

A Mendelian randomization-based approach to explore the relationship between leukocyte counts and breast cancer risk in European ethnic groups

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