A low serum Tat-interacting protein 30 level is a diagnostic and prognostic biomarker for hepatocellular carcinoma

Fan, Shasha; Chu-Shu, Liao; Cao, Youde; Pei-ling, Xiao; Deng, Tan; Luo, Rong; Duan, Hong

doi:10.3892/ol.2017.6024

Cited by 5 publications

(4 citation statements)

References 32 publications

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“…GDF15 is also called MIC-1 and HTATIP2 is also named TIP30. GDF15 30 , 31 and HTATIP2 32 are effective serum signatures for the diagnosis of HCC. Then, we searched HPA database and found three (GDF15, FCN3, FCN2) of 18 genes (11 gene pairs) were detected by blood-based immunoassay, fourteen (FCN2, GDF15, FCN3, DPT, THY1, ADAMTSL2, ASAH1, C7, DBH, F8, PCOLCE2, PPIC, PRDX4, RPLP2) of 18 secreted genes were detected in plasma by mass spectrometry, and four (FCN2, GDF15, DPT, THY1) of 18 secreted genes were detected in plasma by proximity extension assay (see Table 5 ).…”

Section: Discussionmentioning

confidence: 99%

Development of machine learning-based predictors for early diagnosis of hepatocellular carcinoma

Zhang,

Huang,

Liu

et al. 2024

Sci Rep

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Hepatocellular carcinoma (HCC) remains a formidable malignancy that significantly impacts human health, and the early diagnosis of HCC holds paramount importance. Therefore, it is imperative to develop an efficacious signature for the early diagnosis of HCC. In this study, we aimed to develop early HCC predictors (eHCC-pred) using machine learning-based methods and compare their performance with existing methods. The enhancements and advancements of eHCC-pred encompassed the following: (i) utilization of a substantial number of samples, including an increased representation of cirrhosis tissues without HCC (CwoHCC) samples for model training and augmented numbers of HCC and CwoHCC samples for model validation; (ii) incorporation of two feature selection methods, namely minimum redundancy maximum relevance and maximum relevance maximum distance, along with the inclusion of eight machine learning-based methods; (iii) improvement in the accuracy of early HCC identification, elevating it from 78.15 to 97% using identical independent datasets; and (iv) establishment of a user-friendly web server. The eHCC-pred is freely accessible at http://www.dulab.com.cn/eHCC-pred/. Our approach, eHCC-pred, is anticipated to be robustly employed at the individual level for facilitating early HCC diagnosis in clinical practice, surpassing currently available state-of-the-art techniques.

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Section: Discussionmentioning

confidence: 99%

Development of machine learning-based predictors for early diagnosis of hepatocellular carcinoma

Zhang,

Huang,

Liu

et al. 2024

Sci Rep

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“…[ 17 ] The decreased TIP30 expression is associated with poor prognosis in patients with hepatocellular carcinoma. [ 12 ] Human hepatocellular carcinoma with methylated TIP30 has shown a tendency toward significantly high recurrence and mortality rates and low DFS. [ 25 ] TIP30 can also induce apoptosis and mitochondrial dysfunction, probably through stabilization of p53 mRNA, and this mechanism is blocked by inhibition of p53 expression.…”

Section: Discussionmentioning

confidence: 99%

“…The human gene Tat-interacting protein 30 ( TIP30 ), also known as CC3 or HITATIP2 , was first identified as a suppressor of variant small-cell lung carcinoma (vSCLC). [ 3 ] TIP30 expression is downregulated in various tumors with poor prognosis such as vSCLC,[ 3 ] glioblastoma,[ 4 5 6 7 ] breast carcinoma,[ 8 9 ] gastric carcinoma,[ 10 ] hepatocellular cancer,[ 11 12 13 14 ] laryngeal carcinoma,[ 15 ] esophageal carcinoma,[ 16 ] colorectal cancer,[ 17 ] lung cancer,[ 18 ] and pancreatic cancer. [ 19 ] TIP30 shows a positive effect in inhibiting cancer development and progression; however, its role in BUC has not previously been investigated.…”

Section: Introductionmentioning

confidence: 99%

Reduction of Tat-interacting Protein 30 Expression Could be a Prognostic Marker in Bladder Urothelial Cancer

Zhu

Huang

et al. 2018

Chinese Medical Journal

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Background:Tat-interacting protein 30 (TIP30) has been reported to be a tumor suppressor, with reduced or absent expression in various tumors. However, its role in bladder urothelial cancer (BUC) has not been investigated. Therefore, herein, we investigated the expression of TIP30 protein in BUC and normal bladder mucosa and the clinical significance of TIP30 expression in the prognosis of BUC.Methods:We reviewed data from 79 cases of BUC and 15 adjacent tissue samples from 79 patients treated at our institution between 2004 and 2007. TIP30 expression was examined by immunohistochemistry. The relationship between TIP30 expression and tumor stage, histological grade, and survival was analyzed. Differences between groups were evaluated using the t-test or matched-pairs test, and differences in the survival rates were analyzed with the log-rank test.Results:TIP30 protein expression was significantly reduced in BUC tissue (t = −6.91, P < 0.05) compared with normal tissue samples, and in invasive bladder cancer (t = 10.89, P < 0.05) compared with superficial bladder cancer. TIP30 protein expression differed significantly among different differentiated groups classified either according to the World Health Organization (2004, F = 17.48, P < 0.01) or World Health Organization (1973, F = 10.68, P < 0.01). TIP30 protein expression was significantly reduced in high-grade papillary urothelial carcinoma compared with papillary urothelial neoplasm of low malignant potential (P < 0.05) and low-grade papillary urothelial carcinoma (P < 0.05). Meanwhile, TIP30 protein expression was significantly reduced in Grade III BUC, compared with Grade I (P < 0.05) and Grade II (P < 0.05). Patients with low TIP30 expression showed a higher incidence of disease progression than those with high TIP30 expression (t = 2.63, P < 0.05). Kaplan-Meier survival analysis showed a strong positive relationship between TIP30 expression and overall survival (OS) (χ2 = 17.29, P < 0.05).Conclusions:TIP30 expression was associated with clinical tumor stage in BUC, suggesting that it might play an important role in disease progression. Furthermore, TIP30 might predict postoperative OS. Thus, its evaluation might be useful for predicting prognosis.

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“…The 30-kDa Tat-interacting protein (TIP30), also known as HTATIP2 or CC3, was initially identified as a tumor suppressor and is involved in many biological events at various stages of tumor progression, such as tumor initiation, cell proliferation, angiogenesis, metastasis and chemoresistance [5,6,7,8]. TIP30 is frequently downregulated in different cancer types, including hepatocellular carcinoma, colorectal carcinoma, breast cancer, gastric cancer, prostate cancer and lung cancer [4,9,10,11,12,13]. The deletion of TIP30 leads to the spontaneous development of lung cancer in mice [14].…”

Section: Introductionmentioning

confidence: 99%

Low TIP30 Protein Expression is Associated with a High Risk of Metastasis and Poor Prognosis for Non-Small-Cell Lung Cancer

Chen

Chou

Huang

et al. 2019

JCM

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Non-small-cell lung cancer (NSCLC) is a deadly malignancy with a high prevalence worldwide. A reliable biomarker that can predict the prognosis is required to determine the therapeutic strategy. TIP30 was first identified as a tumor suppressor. A number of mechanistic studies indicated that the downregulation of TIP30 enhances the stemness, migration and survival of NSCLC cells. However, the clinical relevance of TIP30 for the prognosis of NSCLC is unknown. From a meta-analysis of public microarray datasets, we showed the upregulation of TIP30 mRNA expression was associated with worse overall survival of NSCLC patients, which contradicted the tumor suppressive role of TIP30. It is worth noting that the TIP30 mRNA expression was not correlated with its protein expression in 15 NSCLC cell lines. The results from the immunohistochemistry of a tissue microarray showed the downregulation of the TIP30 protein expression was associated with a higher risk of metastasis. In addition, the decrease in TIP30 protein was correlated with worse overall and progression-free survival of the NSCLC patients. Multivariate analysis suggested the loss of TIP30 protein was an independent factor to predict the poor prognosis of NSCLC. Our data indicated that TIP30 protein, not mRNA, would be a potential prognostic biomarker of NSCLC.

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A low serum Tat-interacting protein 30 level is a diagnostic and prognostic biomarker for hepatocellular carcinoma

Cited by 5 publications

References 32 publications

Development of machine learning-based predictors for early diagnosis of hepatocellular carcinoma

Development of machine learning-based predictors for early diagnosis of hepatocellular carcinoma

Reduction of Tat-interacting Protein 30 Expression Could be a Prognostic Marker in Bladder Urothelial Cancer

Low TIP30 Protein Expression is Associated with a High Risk of Metastasis and Poor Prognosis for Non-Small-Cell Lung Cancer

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