CD105 as a tool for assessing microvessel density in renal cell carcinoma

Cioca, Andreea; Muntean, Diana; Bungărdean, Cătălina

doi:10.4103/ijpm.ijpm_773_17

Cited by 6 publications

(5 citation statements)

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“…Measuring MVD is a method for both the quantitative evaluation of tumor neovascularization and the evaluation of the degree of vascular differentiation (16). Some previous studies have reported that tumor grade is positively correlated with MVD (22)(23)(24), while others have stated that tumor grade is negatively correlated with MVD (25,26). These latter findings are consistent with our results.…”

Section: Discussionsupporting

confidence: 92%

Associations between tumor grade, contrast-enhanced ultrasound features, and microvascular density in patients with clear cell renal cell carcinoma: a retrospective study

Meng¹,

Yang²,

Zhao³

et al. 2022

Quant Imaging Med Surg

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Background: Clear cell renal cell carcinoma (ccRCC) comprises 70% of all renal cell carcinomas (RCCs). Currently, the most important prognostic factor for this type of carcinoma is the World Health Organization/International Society of Urological Pathology (WHO/ISUP) grade. However, nonsurgical methods are rarely used to determine a tumor's WHO/ISUP grade, thus limiting the development of nonsurgical therapies. Due to variations in microvascular density (MVD) at different stages of tumor growth, contrast-enhanced ultrasound (CEUS) features may provide a noninvasive method for evaluating the WHO/ ISUP grade of ccRCC.Methods: In this study, we analyzed confirmed cases of ccRCC using CEUS features. We also used CD34 and CD31 antibodies to determine MVD. The heterogeneity of CD34 and CD31 expressions were used to determine different degrees of angiogenesis.Results: When compared to WHO/ISUP grade I/II (G1/G2) tumors, grade III/IV (G3/G4) tumors had reduced peak intensity (PI) (P=0.006), time to peak (TTP) (P<0.001), and relative enhancement percentage index (∆PI%) (P<0.001). However, the frequency of incomplete pseudocapsule (P=0.049) and slow wash-in (P=0.001) was significantly higher in G3/G4 tumors. A cut-off value of ∆PI% <33.15% (P<0.001) allowed identification of G3/G4 tumors with an area under the curve (AUC) of 0.80 [95% confidence interval (CI): 0.70 to 0.91) and a sensitivity of 80%. The mean CD34 + MVD (P<0.001) and CD31 + MVD (P<0.001) were significantly lower in G3/G4 tumors. A positive correlation was revealed between ∆PI% and MVD. There was a statistically significant difference in the density of undifferentiated vessels between the slow wash-in and fast wash-in cases (P<0.001). Conclusions:The features of CEUS are effective for differentiating G3/G4 tumors from G1/G2. There was a positive correlation detected between ∆PI% and MVD, and the density of undifferentiated vessels showed a significant difference between slow wash-in and fast wash-in cases. These findings indicate that CEUS can enable the sonographic visualization of tumor angiogenesis and thus be considered an acceptable method for the nonsurgical assessment of tumor microvascular distribution and grade.

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Section: Discussionsupporting

confidence: 92%

Associations between tumor grade, contrast-enhanced ultrasound features, and microvascular density in patients with clear cell renal cell carcinoma: a retrospective study

Meng¹,

Yang²,

Zhao³

et al. 2022

Quant Imaging Med Surg

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“…In contrast to the metastatic potential of CCRCC, ccpRCC shows an indolent behavior; therefore, accurate tumor classification is very important for patients' management and prognosis. Different studies have evaluated the prognostic significance of tumor vascularity in renal cell tumors with two different approaches, either quantification of microvessels by histomorphometry (MVD) [20][21][22][31][32][33][34], or vascular architectural patterns [33,35]. Although Weidner et al [24] have reported that von Willebrand and factor VIII are the most specific vascular markers for measuring intratumoral MVD in solid tumors, they acknowledged that CD31 and CD34 are more sensitive.…”

Section: Discussionmentioning

confidence: 99%

“…Fig. 1 Diagram comparing vascular architectural patterns in RCC utilized in the current study and in two previous publications [30,32] Mann-Whitney U test, Pearson's correlation coefficient, and two-sample t-test were carried out using STATA version 16.0.…”

Section: Vascular Architectural Patternsmentioning

confidence: 99%

“…Many studies have evaluated the microvessel density in tumors from different anatomical sites using immunostains for CD31, CD34, factor VIII, VEGF, D2-40, and von Willebrand factor [26][27][28][29][30]. MVD in CCRCC has been addressed in previous studies [20][21][22][31][32][33][34]. Vascular architectural patterns have also been previously studied in CCRCC, chromophobe, papillary, and unclassified RCC using CD31, CD34, and SMA [33,35]; however, neither MVD nor vascular architectural patterns have been studied in ccpRCC.…”

Section: Introductionmentioning

confidence: 99%

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Vascular architectural patterns in clear cell renal cell carcinoma and clear cell papillary renal cell carcinoma

et al. 2021

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Renal cell carcinomas (RCC) are well-vascularized tumors. Although clear cell RCC (CCRCC) show a characteristic vascular network, some cases show overlapping features with other RCC. We aimed to evaluate vascular architectural patterns, microvessel density (MVD), and endothelial cell density (ECD) in CCRCC compared to clear cell papillary RCC (ccpRCC). Thirty-four RCC (17 CCRCC and 17 ccpRCC) were included in the study. CD34 was used to evaluate vascular architectural patterns by microscopic estimation in all cases. CD34, ERG, and Bioquant Osteo 2019 Imaging Analysis Software were used to evaluate MVD and ECD in 17 CCRCC and 15 ccpRCC. Mean MVD was 526.63 in CCRCC vs. 426.18 in ccpRCC (p = 0.16); mean ECD was 937.50 in CCRCC vs. 1060.21 in ccpRCC (p = 0.25). CD34 highlighted four distinct vascular architectural patterns: pseudoacinar, Golgi-like, lacunae, and scattered. Lacunae and pseudoacinar was the most frequent combinatio n in CCRCC; lacunae and Golgi-like was the predominant combination among ccpRCC. Pseudoacinar was most extensive in CCRCC and least in ccpRCC; Golgi-like was predominant in ccpRCC and uncommon in CCRCC. The extent of pseudoacinar and Golgi-like vascular architectural patterns was significantly different between CCRCC and ccpRCC (p < 0.05). Pathologists acquainted with these different vascular architectural patterns may utilize them as an additional tool in the distinction of CCRCC from ccpRCC.

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“…At present, the value of MVD in predicting the prognosis of BTCC is controversial. Several reports showed that MVD was positively correlated with longer survival time and better prognosis of patients[ 9 - 13 ]. However, at the same time, some researchers reported that MVD was inversely related to the survival rate and prognosis of patients[ 14 - 16 ], whereas others did not find a significant correlation between MVD and the survival rate of patients[ 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

Research on the prognosis of different types of microvessels in bladder transitional cell carcinoma

Wang¹,

Qin²,

Yang³

2021

WJCC

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BACKGROUND At present, there is controversy on the role of microvessel density (MVD) in tumors as a prognostic indicator of bladder transitional cell carcinoma (BTCC). However, the MVD in tumors is simply classified based on the expression of several different vascular markers, which has not been related to analytical research on the prognosis of patients with BTCC. AIM To explore the classification of blood vessels in tumors and studied the relationship between MVD and the prognosis of patients with BTCC. METHODS The tissue mass was detected by tissue microarray and immunohistochemical analysis with monoclonal antibodies against CD31, CD34, CD105, and vascular smooth muscle actin to investigate the MVD in BTCC. The measurement data are expressed as the mean ± SD. The difference between the groups was analyzed by the t -test, the counting data were analyzed by χ 2 test. The Kaplan-Meier survival curve was estimated by the product-limit method. The log-rank time-series test was employed to compare the tumor-free survival curves. RESULTS The MVD was closely related to the pathological grade, invasive depth, and prognosis of BTCC. Significant differences were found between grade I and grade II, grade II and grade III, superficial and invasive type, and the tumor-free survival group and the recurrence or metastasis group ( P < 0.01). Multivariate analysis showed that undifferentiated MVD was an independent prognostic factor for patient survival time. An inverse correlation between undifferentiated tumor MVD and differentiated tumor MVD in BTCC was also shown. CONCLUSION The classification of blood vessels in BTCC could act as an important prognostic indicator and may also be of great significance in the treatment of cancer.

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CD105 as a tool for assessing microvessel density in renal cell carcinoma

Cited by 6 publications

References 0 publications

Associations between tumor grade, contrast-enhanced ultrasound features, and microvascular density in patients with clear cell renal cell carcinoma: a retrospective study

Associations between tumor grade, contrast-enhanced ultrasound features, and microvascular density in patients with clear cell renal cell carcinoma: a retrospective study

Vascular architectural patterns in clear cell renal cell carcinoma and clear cell papillary renal cell carcinoma

Research on the prognosis of different types of microvessels in bladder transitional cell carcinoma

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