ArticleCurrent colorectal cancer reports2014
How Can Next-Generation Sequencing (Genomics) Help Us in Treating Colorectal Cancer?
Article in Current colorectal cancer reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Diagnostic Potential of Exosomes in Colorectal Cancer: Current Advances and Future Perspectives.Molecules (Basel, Switzerland) · 2026Review
- The Genomic Landscape of Colorectal Cancer in the Saudi Arabian Population Using a Comprehensive Genomic Panel.Diagnostics (Basel, Switzerland) · 2023Article
- Evaluation of circulating cell-free DNA as a molecular monitoring tool in patients with metastatic cancer.Oncology letters · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Next generation sequencing methods have exponentially increased the amount of genomic information available to scientists and clinicians. This review will explain the evolution of tumor gene sequencing and identify its potential to accelerate therapeutic progress by using colorectal cancer to illustrate the benefits of this type of analysis. A milestone in sequencing occurred when The Cancer Genome Atlas investigators characterized the genomes of 276 colorectal cancer samples, with the resulting information expected to provide future clinical applications and help to guide the treatment of colorectal cancer. Data regarding colorectal cancer mutational frequencies, prognostic and predictive biomarker usefulness, and signaling pathway alterations are emerging from various next generation sequencing platforms. Next generation sequencing methods are also enhancing our understanding of the causes and consequences of both the chromosomal instability and microsatellite instability pathways, as well as expanding our knowledge of the origins of familial colorectal cancer. Limitations to next generation sequencing methods include the need for storage and analysis of massive quantities of data, as well as assurance that the data is of the highest possible quality. However, this genomic technology carries with it the potential to revolutionize our treatment of colorectal cancer patients through better understanding of the underlying disease biology and subsequent development and application of therapeutic approaches targeting the genetic abnormalities specific to individual malignancies.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.