Crossroad between linear and nonlinear transcription concepts in the discovery of next-generation sequencing

Dimitrios H Roukos1

  • 1Centre for Biosystems and Genomic Network Medicine and Research & Innovation Commission of Ioannina University, School of Medicine, Ioannina, Greece; Hellenic Genomic Center and Systems Biology Unit of Biomedical Research Foundation of the Academy of Athens (BRFAA), Athens, Greece.

Drug Discovery Today
|February 26, 2016
PubMed

Insights

Next-generation sequencing advances cancer research, but therapeutic resistance remains a challenge. This review explores linear and nonlinear drug development strategies for targeting cancer genome evolution and heterogeneity.

Area of Science:

  • Genomics
  • Cancer Biology
  • Pharmacology

Background:

  • Next-generation sequencing (NGS) offers unprecedented potential for understanding cancer genome evolution, tumor heterogeneity, and transcriptional networks.
  • Overcoming heterogeneity-based therapeutic resistance is a critical challenge in biomedical and pharmaceutical research.
  • Current research stands at a crossroads regarding effective therapeutic strategies against complex cancer biology.

Purpose of the Study:

  • To compare the effectiveness, challenges, and expectations of linear and nonlinear drug development approaches.
  • To evaluate strategies targeting simple intrapatient genome diversity versus complex transcriptional heterogeneity.
  • To provide a rational framework for future therapeutic development in oncology.

Main Methods:

  • Review of existing literature on next-generation sequencing applications in cancer research.
  • Comparative analysis of linear and nonlinear drug development paradigms.
  • Evaluation of therapeutic resistance mechanisms driven by intrapatient variation and aberrant transcriptional biocircuits.

Main Results:

  • Linear drug development, targeting simple intrapatient genome diversity, presents a realistic medium-term goal.
  • Nonlinear drug development, targeting structural and functional genome/transcriptome heterogeneity, represents a long-term rational strategy.
  • Significant challenges exist in both approaches, particularly in addressing complex tumor heterogeneity.

Conclusions:

  • A dual approach focusing on both linear and nonlinear drug development is necessary for comprehensive cancer therapy.
  • Future research should prioritize understanding and targeting aberrant transcriptional biocircuits for robust therapeutic outcomes.
  • Bridging the gap between current capabilities and long-term strategies is crucial for overcoming therapeutic resistance.

Related Concept Videos

Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
100.8K
RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
12.4K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
6.3K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
10.1K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

3.8K
Targeted Cancer Therapies02:57

Targeted Cancer Therapies

The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...
9.1K