A Review on Application Of Biomarkers In The Field Of Bioinformatics &amp; Nanotechnology For Individualized Cancer Treatment

Anandaram, Harishchander

doi:10.15406/mojpb.2017.05.00179

Cited by 3 publications

(1 citation statement)

References 68 publications

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“…Bioinformatics can serve as a very useful tool to investigate the complexity of big datasets, discover novel biomarkers and analyze their validation in clinical studies [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Overexpression of DDIT4 and TPTEP1 are associated with metastasis and advanced stages in colorectal cancer patients: a study utilizing bioinformatics prediction and experimental validation

et al. 2021

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Background Various diagnostic and prognostic tools exist in colorectal cancer (CRC) due to multiple genetic and epigenetic alterations causing the disease. Today, the expression of RNAs is being used as prognostic markers for cancer. Methods In the current study, various dysregulated RNAs in CRC were identified via bioinformatics prediction. Expression of several of these RNAs were measured by RT-qPCR in 48 tissues from CRC patients as well as in colorectal cancer stem cell-enriched spheroids derived from the HT-29 cell line. The relationships between the expression levels of these RNAs and clinicopathological features were analyzed. Results Our bioinformatics analysis determined 11 key mRNAs, 9 hub miRNAs, and 18 lncRNAs which among them 2 coding RNA genes including DDIT4 and SULF1 as well as 3 non-coding RNA genes including TPTEP1, miR-181d-5p, and miR-148b-3p were selected for the further investigations. Expression of DDIT4, TPTEP1, and miR-181d-5p showed significantly increased levels while SULF1 and miR-148b-3p showed decreased levels in CRC tissues compared to the adjacent normal tissues. Positive relationships between DDIT4, SULF1, and TPTEP1 expression and metastasis and advanced stages of CRC were observed. Additionally, our results showed significant correlations between expression of TPTEP1 with DDIT4 and SULF1. Conclusions Our findings demonstrated increased expression levels of DDIT4 and TPTEP1 in CRC were associated with more aggressive tumor behavior and more advanced stages of the disease. The positive correlations between TPTEP1 as non-coding RNA and both DDIT4 and SULF1 suggest a regulatory effect of TPTEP1 on these genes.

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“…Bioinformatics can serve as a very useful tool to investigate the complexity of big datasets, discover novel biomarkers and analyze their validation in clinical studies [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Overexpression of DDIT4 and TPTEP1 are associated with metastasis and advanced stages in colorectal cancer patients: a study utilizing bioinformatics prediction and experimental validation

et al. 2021

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Bioinformatics: An Important Tool in Oncology

Kaur

Gupta²,

Kaur

et al. 2021

Biomedical Data Mining for Information Retrieval

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Bioentrepreneurship Market Development

Bhaskar

2021

Advances in Business Strategy and Competitive Advantage

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Bioentrepreneurship is a biological entity related to sciences that creates, builds, and acquires profit to establish a business. At present, the biggest challenges for bioentrepreneurs is to stand out from their competitors. There are various function that bioentrepreneurs apply to their businesses to be unique, such as marketing. Marketing includes product development, distribution methods, sales, advertising, etc. Despite of all these efforts, entrepreneurs are still facing a problem to sell products as the consumer preference and need is changing day by day. Therefore, to succeed in business today, it is very important to develop new strategies to change the existing products in order to provide good service to the consumers and retain the business. The process taken by the company to develop the existing market is known as market development. This chapter will focus on market development and selling the product according to consumer needs.

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A Review on Application Of Biomarkers In The Field Of Bioinformatics & Nanotechnology For Individualized Cancer Treatment

Cited by 3 publications

References 68 publications

Overexpression of DDIT4 and TPTEP1 are associated with metastasis and advanced stages in colorectal cancer patients: a study utilizing bioinformatics prediction and experimental validation

Overexpression of DDIT4 and TPTEP1 are associated with metastasis and advanced stages in colorectal cancer patients: a study utilizing bioinformatics prediction and experimental validation

Bioinformatics: An Important Tool in Oncology

Bioentrepreneurship Market Development

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