Anemia como factor pronóstico independiente en pacientes con carcinoma renal

Gómez, J.M. Fernández; Monzón, A. Jalón; Múgica, M. Álvarez; J, García Rodríguez; Aranzubía, Oscar Miranda; Álvarez, R.C. González

doi:10.1016/j.medcli.2009.05.038

Cited by 2 publications

(2 citation statements)

References 33 publications

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“…Reduced preoperative values of HGB, HCT, MCV, and MCH also predispose patients to early recurrence of cancer. Similar results were also obtained by other authors [21–24]. …”

Section: Discussionsupporting

confidence: 93%

Basic Parameters of Blood Count as Prognostic Factors for Renal Cell Carcinoma

Prokopowicz

Życzkowski

Nowakowski

et al. 2016

BioMed Research International

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Background. Renal cell carcinoma is the most common type of kidney cancer. Taking account of morbidity and mortality increase, it is evident that searching for independent prognostic factors is needed. Aim of the Study. The aim of the study was to analyze routinely performed blood parameters as potential prognostic factors for kidney cancer. Material and Methods. We have retrospectively reviewed the records of 230 patients treated for renal cell carcinoma in the years 2000–2006. Preoperative blood parameters, postoperative histopathological results, and staging and grading were performed. To estimate the risk of tumor recurrence and cancer specific mortality (CSM) within five years of follow-up, uni- and multivariate Cox and regression analyses were used. To assess the quality of classifiers and to search for the optimal cut-off point, the ROC curve was used. Results. T stage of the tumor metastasis is the most important risk factor for early recurrence and cancer specific mortality (p < 0.001). The preoperative platelet count (PLT) above 351 × 103/uL (95.3%; 55.1%) and AUC of 77% are negative prognostic factors and correlate with increased cancer specific mortality (CSM) during the five-year follow-up (p < 0.001). Increased risk of local recurrence was observed for PLT above 243.5 × 103/ul (59%; 88%) and AUC of 80% (p = 0.001). The opposite was observed in the mean platelets volume (MPV) for cancer specific mortality (CSM). The cut-off point for the MPV was 10.1 fl (75.4%; 55.1%) and for the AUC is of 68.1% (p = 0.047). Conclusions. Many analyzed parameters in univariate regressions reached statistical significance and could be considered as potential prognostic factors for ccRCC. In multivariate analysis, only T stage, platelet count (PLT), and mean platelet volume (MPV) correlated with CSM or recurrent ccRCC.

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“…Reduced preoperative values of HGB, HCT, MCV, and MCH also predispose patients to early recurrence of cancer. Similar results were also obtained by other authors [21–24]. …”

Section: Discussionsupporting

confidence: 93%

Basic Parameters of Blood Count as Prognostic Factors for Renal Cell Carcinoma

Prokopowicz

Życzkowski

Nowakowski

et al. 2016

BioMed Research International

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“…Notably, kidney cancer patients frequently exhibit anemia, with up to 35% of cases demonstrating decreased levels of hemoglobin (HGB), hematocrit (HCT), MCV, and MCH due to the weak activity of erythropoietin (EPO) and abnormal iron metabolism ( 18 , 19 ). For the red blood cell and platelet systems, preoperative reductions in HGB, HCT, MCV, and MCH have been linked to an increased predisposition for early recurrence and progression of kidney cancer ( 20 , 21 ). Additionally, a decrease in the average size of platelets has emerged as an independent predictor of tumor-specific mortality ( 18 ).…”

Section: Introductionmentioning

confidence: 99%

Blood cell indices and inflammation-related markers with kidney cancer risk: a large-population prospective analysis in UK Biobank

He,

Wei,

Cao

et al. 2024

Front. Oncol.

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BackgroundKidney cancer is a prevalent malignancy with an increasing incidence worldwide. Blood cell indices and inflammation-related markers have shown huge potential as biomarkers for predicting cancer incidences, but that is not clear in kidney cancer. Our study aims to investigate the correlations of blood cell indices and inflammation-related markers with kidney cancer risk.MethodsWe performed a population-based cohort prospective analysis using data from the UK Biobank. A total of 466,994 participants, free of kidney cancer at baseline, were included in the analysis. The hazard ratios (HRs) and 95% confidence intervals (CIs) for kidney cancer risk were calculated using Cox proportional hazards regression models. Restricted cubic spline models were used to investigate nonlinear longitudinal associations. Stratified analyses were used to identify high-risk populations. The results were validated through sensitivity analyses.ResultsDuring a mean follow-up of 12.4 years, 1,710 of 466,994 participants developed kidney cancer. The Cox regression models showed that 13 blood cell indices and four inflammation-related markers were associated with kidney cancer incidence. The restricted cubic spline models showed non-linear relationships with kidney cancer. Finally, combined with stratified and sensitivity analyses, we found that the mean corpuscular hemoglobin concentration (MCHC), red blood cell distribution width (RDW), platelet distribution width (PDW), systemic immune-inflammation index (SII), and product of platelet count and neutrophil count (PPN) were related to enhanced kidney cancer risk with stable results.ConclusionOur findings identified that three blood cell indices (MCHC, RDW, and PDW) and two inflammation-related markers (SII and PPN) were independent risk factors for the incidence of kidney cancer. These indexes may serve as potential predictors for kidney cancer and aid in the development of targeted screening strategies for at-risk individuals.

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Anemia como factor pronóstico independiente en pacientes con carcinoma renal

Cited by 2 publications

References 33 publications

Basic Parameters of Blood Count as Prognostic Factors for Renal Cell Carcinoma

Basic Parameters of Blood Count as Prognostic Factors for Renal Cell Carcinoma

Blood cell indices and inflammation-related markers with kidney cancer risk: a large-population prospective analysis in UK Biobank

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