The Role of Overexpression of Rab1A in Human Pancreatic Cancer and its Association with Poor Prognosis

Zwyea, Susan

doi:10.5958/0976-5506.2019.03919.6

Ind. Jour. of Publ. Health Rese. & Develop.

2019

DOI: 10.5958/0976-5506.2019.03919.6

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The Role of Overexpression of Rab1A in Human Pancreatic Cancer and its Association with Poor Prognosis

Susan Zwyea¹

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Cited by 2 publications

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Early Prognosis of Human Renal Cancer with Kaplan-Meier Plotter Data Analysis Model

Almansouri

Zwyea

2020

J. Phys.: Conf. Ser.

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Clinical data analysis is one of the powerful learning methods in cancer research. Several analysis methods have been used for detection purposes in computational pathology. However, little information is known about the model features. Here, we described Kaplan-Meier plotter analysis model as a powerful tool with new features. The model combines fellow up threshold, disease stage, and race to ensure better validation for genes as prognostic biomarkers in early disease stages. The proposed model is evaluated for the relevance role of Rab1A, an oncogene, in renal cancer early prognosis on the benchmark datasets from The Human Protein Atlas. We found Rab1A overexpression in human renal cancer has potential role in early prognosis of the disease and it is associated with poor prognosis (p<0.05). Our model results were also confirmed in an independent dataset in The Human Protein Atlas. Together, our studies emphasize the role of Rab1A in human malignancies and identify Rab1A as a new prognostic predictor for human renal cancer.

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Early Prognosis of Human Renal Cancer with Kaplan-Meier Plotter Data Analysis Model

Almansouri

Zwyea

2020

J. Phys.: Conf. Ser.

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Kaplan-Meier plotter data analysis model in early prognosis of pancreatic cancer

Zwyea¹,

Naji

Almansouri

2021

J. Phys.: Conf. Ser.

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Intelligent data analysis methods provide helpful tools for cancer researchers to detect the prognosis of patients with specific diseases. Yet, very little information is known about the features of these models used in data analysis methods. In this study, we presented a new Kaplan-Meier plotter model with a better-combination of input features for early prognosis tasks of pancreatic cancer. Our new model integrates gender, race, and follow up the threshold to get better verification of genes of interest as prognostic markers for predicting cancer at early stages. Assessment is made for the developed model to examine the important role of the oncogene RablA in early prediction of pancreatic cancer on the standard clinical datasets from The Human Protein Atlas. Our results showed that overexpression of the oncogene Rab1A in pancreatic cancer plays a vital role in its early prognosis (p<0.05). The proposed model results were also verified using an independent dataset deposited in The Human Protein Atlas. Altogether, the experimental results highlight Rab1A potential role in cancer prognosis.

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The Role of Overexpression of Rab1A in Human Pancreatic Cancer and its Association with Poor Prognosis

Cited by 2 publications

References 0 publications

Early Prognosis of Human Renal Cancer with Kaplan-Meier Plotter Data Analysis Model

Early Prognosis of Human Renal Cancer with Kaplan-Meier Plotter Data Analysis Model

Kaplan-Meier plotter data analysis model in early prognosis of pancreatic cancer

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