Etiologic heterogeneity of clear‐cell and papillary renal cell carcinoma in the Netherlands Cohort Study

Pol, Jeroen A. A. van de; George, Lisa; Brandt, Piet A. van den; Baldewijns, Marcella; Schouten, Leo J.

doi:10.1002/ijc.33193

Cited by 16 publications

(5 citation statements)

References 43 publications

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“…Several potential studies have suggested that the consumption of alcohol in small to moderate amounts has a dose-dependent protective impact on the progression of RCC. ( Lew et al, 2011 ; Minami et al, 2021 ; van de Pol et al, 2021 ). Typically, the intake of a minimum of 15 g of alcohol daily is linked to a lower chance of RCC, with an estimated reduction of 28%.…”

Section: Discussionmentioning

confidence: 99%

The causal relationship between smoking, alcohol consumption, and renal clear cell carcinoma: a Mendelian randomization study

Cui,

Du,

Xue

et al. 2024

Front. Genet.

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Introduction: Observational studies have found a correlation between the consumption of tobacco and alcohol and the likelihood of developing renal cell carcinoma. However, whether these associations indicate causal relationships is unclear.Methods: To establish if these connections indicate causal relationships, we performed a Mendelian Randomization (MR) analysis using a two-sample approach. For the number of daily cigarettes, lifetime smoking index, smoking initiation, and weekly drinking, we employed 44, 108, 174, and 76 single nucleotide polymorphisms (SNPs) as instrumental variables. Outcome data were obtained from the FinnGen Alliance, which included a combined total of 429,290 individuals. The MR analysis was conducted using the inverse-variance weighted (IVW) method to estimate causal effects. To address potential violations of MR assumptions due to directional pleiotropy, we performed MR-Egger regression and MR-PRESSO (Mendelian Randomization Pleiotropy RESidual Sum and Outlier) analysis.Results: Genetically influenced smoking initiation was directly associated with the risk of developing renal cell carcinoma (OR = 1.55, 95% CI: 1.04–2.33; p = 0.03). No causal relationship was found between daily cigarette consumption and lifetime smoking index with the risk of renal cell cancer. Genetic predisposition for weekly alcohol consumption showed a reduced risk of renal cell cancer (OR = 0.45, 95% CI: 0.26–0.81; p = 0.007).Discussion: Our study suggests a potential causal relationship between alcohol consumption and reduced risk of renal cell cancer, while no such association was observed with smoking. Further research is needed to confirm these findings.

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Section: Discussionmentioning

confidence: 99%

The causal relationship between smoking, alcohol consumption, and renal clear cell carcinoma: a Mendelian randomization study

Cui,

Du,

Xue

et al. 2024

Front. Genet.

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“…Clinical data were collected using the hospital information system (HIS) (DHC Software Co, China), including sex, age, smoking history, kidney stone history, flank pain, and hematuria. Patients with a smoking history for more than 20 years and no less than 20 cigarettes per day were identified as having a smoking history [ 23 ]. Patients with kidney stones for more than five years were considered to have a positive nephrolith history [ 25 ], and cases with small asymptomatic calculi were not considered positive.…”

Section: Methodsmentioning

confidence: 99%

CT findings and clinical characteristics in distinguishing renal urothelial carcinoma mimicking renal cell carcinoma from clear cell renal cell carcinoma

Chen,

Feng,

Chen

et al. 2024

BMC Urol

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Background We aimed to characterize the clinical and multiphase computed tomography (CT) features, which can distinguish renal urothelial carcinoma (RUC) mimicking renal cell carcinoma (RCC) from clear cell renal cell carcinoma (ccRCC) with collecting system invasion (CSI). Methods Data from 56 patients with RUC (46 men and 10 women) and 366 patients with ccRCC (262 men and 104 women) were collected and assessed retrospectively. The median age was 65.50 (IQR: 56.25–69.75) and 53.50 (IQR: 42.25–62.5) years, respectively. Univariate and multivariate logistic regression analyses were performed on clinical and CT characteristics to determine independent factors for distinguishing RUC and ccRCC, and an integrated predictive model was constructed. Differential diagnostic performance was assessed using the area under the receiver operating characteristic curve (AUC). Results The independent predictors for differentiating RUC from ccRCC were infiltrative growth pattern, hydronephrosis, heterogeneous enhancement, preserving reniform contour, and hematuria. The differential diagnostic performance of the integrated predictive model-1 (AUC: 0.947, sensitivity: 89.07%, specificity: 89.29%) and model-2 (AUC: 0.960, sensitivity: 92.1%, specificity: 89.3%) were both better than that of the infiltrative growth pattern (AUC: 0.830, sensitivity: 71.9%, specificity: 92.9%), heterogeneous enhancement (AUC: 0.771, sensitivity: 86.3%, specificity: 67.9%), preserving reniform contour (AUC = 0.758, sensitivity: 85.5%, specificity: 66.1%), hydronephrosis (AUC: 0.733, sensitivity: 87.7%, specificity: 58.9%), or hematuria (AUC: 0.706, sensitivity: 79.5%, specificity: 51.8%). Conclusion The CT and clinical characteristics showed extraordinary discriminative abilities in the differential diagnosis of RUC and ccRCC, which might provide helpful information for clinical decision-making.

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“…Clinical data were collected using the hospital information system (HIS) (DHC Software Co, China), including sex, age, smoking history, kidney stone history, ank pain, and hematuria. Patients with a smoking history for more than 20 years and no less than 20 cigarettes per day were identi ed as having a smoking history [23]. Patients with kidney stones for more than ve years were considered to have a positive nephrolith history [25], and cases with small asymptomatic calculi were not considered positive.…”

Section: Clinical and Pathological Datamentioning

confidence: 99%

“…Zhu and Ding et al only described the clinical and CT features of RUC without comparing RUC and RCC [18,19]. Clinical characteristics have yielded reference value for diagnosis, such as smoking history, presence of nephrolith, hematuria, and ank pain [20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

CT findings and clinical characteristics in distinguishing renal urothelial carcinoma mimicking renal cell carcinoma from clear cell renal cell carcinoma

Chen

Feng

Chen

et al. 2023

Preprint

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Background: We aimed to characterize the clinical and multiphase computed tomography (CT) features, which can distinguish renal urothelial carcinoma (RUC) mimicking renal cell carcinoma (RCC) from clear cell renal cell carcinoma (ccRCC) with collecting system invasion (CSI). Methods: Data from 56 patients with RUC (46 men and 10 women) and 366 patients with ccRCC (262 men and 104 women) were collected and assessed retrospectively. The median age was 65.50 (IQR: 56.25–69.75) and 53.50 (IQR: 42.25–62.5) years, respectively. Univariate and multivariate logistic regression analyses were performed on clinical and CT characteristics to determine independent factors for distinguishing RUC and ccRCC, and an integrated predictive model was constructed. Differential diagnostic performance was assessed using the area under the receiver operating characteristic curve (AUC). Results: The independent predictors for differentiating RUC from ccRCC were infiltrative growth pattern, hydronephrosis, heterogeneous enhancement, preserving reniform contour, and hematuria. The differential diagnostic performance of the integrated predictive model (AUC: 0.960, sensitivity: 92.1%, specificity: 89.3%) was better than that of the infiltrative growth pattern (AUC: 0.830, sensitivity: 71.9%, specificity: 92.9%), heterogeneous enhancement (AUC: 0.771, sensitivity: 86.3%, specificity: 67.9%), preserving reniform contour (AUC=0.758, sensitivity: 85.5%, specificity: 66.1%), hydronephrosis (AUC: 0.733, sensitivity: 87.7%, specificity: 58.9%), or hematuria (AUC: 0.706, sensitivity: 79.5%, specificity: 51.8%). Conclusion: The CT and clinical characteristics showed extraordinary discriminative abilities in the differential diagnosis of RUC and ccRCC, which might provide helpful information for clinical decision-making.

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Etiologic heterogeneity of clear‐cell and papillary renal cell carcinoma in the Netherlands Cohort Study

Cited by 16 publications

References 43 publications

The causal relationship between smoking, alcohol consumption, and renal clear cell carcinoma: a Mendelian randomization study

The causal relationship between smoking, alcohol consumption, and renal clear cell carcinoma: a Mendelian randomization study

CT findings and clinical characteristics in distinguishing renal urothelial carcinoma mimicking renal cell carcinoma from clear cell renal cell carcinoma

CT findings and clinical characteristics in distinguishing renal urothelial carcinoma mimicking renal cell carcinoma from clear cell renal cell carcinoma

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