HNF1β and S100A1 are useful biomarkers for distinguishing renal oncocytoma and chromophobe renal cell carcinoma in FNA and core needle biopsies

Conner, James; Hirsch, Michelle S.; Jo, Vickie Y.

doi:10.1002/cncy.21530

Cited by 28 publications

(19 citation statements)

References 30 publications

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“…S100A1 was found to be differentially expressed in clear cell renal cell carcinoma and papillary renal cell carcinoma, and the differential expression may be a potentially useful marker to differentiate the chromophobe renal cell carcinoma from renal oncocytoma ( 7 , 8 ). S100A1 can also be used to differentiate other tumors ( 21 – 25 ).…”

Section: Discussionmentioning

confidence: 99%

Interaction of S100A1 with LATS1 promotes cell growth through regulation of the Hippo pathway in hepatocellular carcinoma

et al. 2018

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Despite advances in surgery and chemotherapy, the prognosis of patients with hepatocellular carcinoma (HCC) remains poor. In the present study, the role of S100A1 in the progression of HCC was investigated. Immunohistochemical staining was used to measure the expression of S100A1 in HCC tissues. S100A1 was knocked down by siRNA. A battery of experiments was used to evaluate the biology functions of S100A1. It was found that S100A1 was upregulated in HCC tissues, and its upregulation was associated with a large tumor size, low differentiation and shorter survival time. The biological experiments demonstrated that S100A1 functions as an oncogene in HCC. It was also found that S100A1 knockdown enhanced the inhibitory effects of cisplatin on HCC cells. The results showed that the downregulation of S100A1 induced the phosphorylation of yes-associated protein (YAP), and treatment with CHX demonstrated that the downregulation of S100A1 accelerated YAP protein degradation. The downregu-lation of S100A1 did not alter the expression of mammalian sterile 20-like kinase (MST)1/2 or phosphorylated MST1/2, but upregulated the phosphorylation of large tumor suppressor kinase 1 (LATS1). It was further confirmed that S100A1 interacted with LATS1. LATS1 depletion significantly reduced the effects of S100A1 on cell growth rate and apoptosis, and there was a positive correlation between phosphorylated LATS1 and S100A1 in clinical samples, indicating that LATS1 was responsible for the S100A1-induced changes in cancer cell growth and Hippo signaling. In conclusion, the results of the present study indicated that S100A1 functions as an oncogene and may be a biomarker for the prognosis of patients with HCC. S100A1 exerted its oncogenic function by interacting with LATS1 and activating YAP. S100A1 may serve as a target for novel therapies in HCC.

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Section: Discussionmentioning

confidence: 99%

Interaction of S100A1 with LATS1 promotes cell growth through regulation of the Hippo pathway in hepatocellular carcinoma

et al. 2018

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“…Thereafter, staining intensity was scored as follows: 0 (negative), 1 (weakly positive), 2 (moderately positive), and 3 (strongly positive). The immunostaining score, also known as staining index (SI), was calculated for each case by multiplying the percentage of positive cells with the staining intensity score, the resulting score is widely used in many malignant tumor studies [31, 32]. The immunohistochemistry scoring procedure was carried out to duplicate by two experienced pathologists to evaluate immunohistochemistry.…”

Section: Methodsmentioning

confidence: 99%

The overexpression of MDM4: an effective and novel predictor of gastric adenocarcinoma lymph node metastasis

et al. 2016

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BackgroundMDM4 is the important negative regulator of the tumor suppressor protein p53, which is overexpressed in various human cancers. This study evaluates the MDM4 expression in patients with gastric adenocarcinoma (GTAC) at the mRNA and protein levels and examines relationships among MDM4 expression, clinicopathological features, and prognosis.ResultsThe qRT-PCR and the Western blot analysis showed that the MDM4 expression level was high in GTACN+ but not in GTACN−. The high expression level of MDM4 was significantly associated with age (P = 0.047), lymph node metastasis (LNM) (P < 0.001), pathological stage (P < 0.001), differentiation status (P = 0.001), and preoperative serum CA19-9 level (P < 0.001). Moreover, the survival analysis showed that Borrmann type, depth of invasion, LNM, and preoperative serum CA19-9 level were independent prognostic factors. The univariate analysis revealed that MDM4 expression influenced GTAC prognosis. Furthermore, the influence of overall prognosis relies on whether or not the high MDM4 expression level could lead to LNM.Materials and MethodsWe investigated MDM4 expression in primary GTAC and paired normal gastric tissues (30 pairs) through qRT-PCR and Western blot analyses. We also performed immunohistochemistry analysis on 336 paraffin-embedded GTAC specimens and 33 matched normal specimens.ConclusionsMDM4 expression may result in LMN of GTAC. High MDM4 expression levels are associated with LMN of GTAC and influence the prognosis of patients with GTAC.

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“…5 ). HNF1β and S100A1 are useful biomarker for distinguishing renal oncocytoma and chromophobe renal cell carcinoma [ 39 ].…”

Section: Resultsmentioning

confidence: 99%

knnAUC: an open-source R package for detecting nonlinear dependence between one continuous variable and one binary variable

Liu

et al. 2018

BMC Bioinformatics

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BackgroundTesting the dependence of two variables is one of the fundamental tasks in statistics. In this work, we developed an open-source R package (knnAUC) for detecting nonlinear dependence between one continuous variable X and one binary dependent variables Y (0 or 1).ResultsWe addressed this problem by using knnAUC (k-nearest neighbors AUC test, the R package is available at https://sourceforge.net/projects/knnauc/). In the knnAUC software framework, we first resampled a dataset to get the training and testing dataset according to the sample ratio (from 0 to 1), and then constructed a k-nearest neighbors algorithm classifier to get the yhat estimator (the probability of y = 1) of testy (the true label of testing dataset). Finally, we calculated the AUC (area under the curve of receiver operating characteristic) estimator and tested whether the AUC estimator is greater than 0.5. To evaluate the advantages of knnAUC compared to seven other popular methods, we performed extensive simulations to explore the relationships between eight different methods and compared the false positive rates and statistical power using both simulated and real datasets (Chronic hepatitis B datasets and kidney cancer RNA-seq datasets).ConclusionsWe concluded that knnAUC is an efficient R package to test non-linear dependence between one continuous variable and one binary dependent variable especially in computational biology area.Electronic supplementary materialThe online version of this article (10.1186/s12859-018-2427-4) contains supplementary material, which is available to authorized users.

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HNF1β and S100A1 are useful biomarkers for distinguishing renal oncocytoma and chromophobe renal cell carcinoma in FNA and core needle biopsies

Cited by 28 publications

References 30 publications

Interaction of S100A1 with LATS1 promotes cell growth through regulation of the Hippo pathway in hepatocellular carcinoma

Interaction of S100A1 with LATS1 promotes cell growth through regulation of the Hippo pathway in hepatocellular carcinoma

The overexpression of MDM4: an effective and novel predictor of gastric adenocarcinoma lymph node metastasis

knnAUC: an open-source R package for detecting nonlinear dependence between one continuous variable and one binary variable

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