Integrative Genomic Data Mining for Discovery of Potential Blood-Borne Biomarkers for Early Diagnosis of Cancer
2008

Identifying Blood-Borne Biomarkers for Early Cancer Diagnosis

publication Evidence: moderate

Author Information

Author(s): Yang Yongliang, Iyer Lakshmanan K., Adelstein S. James, Kassis Amin I.

Primary Institution: Harvard Medical School

Hypothesis

Can a combined mining strategy identify potential blood-based biomarkers for early diagnosis of cancer?

Conclusion

The study identified upregulated marker genes shared among six cancer types that may serve as molecular tools for cancer diagnosis.

Supporting Evidence

  • The study identified hundreds of biomarkers in human tumors.
  • Common markers were found to be shared among different cancer types.
  • The mining strategy was effective in identifying clinically useful markers.

Takeaway

Researchers found specific markers in blood that can help doctors detect cancer early. This is important because it can lead to better treatment outcomes.

Methodology

The study used a combined mining strategy involving the Oncomine platform and Ingenuity Pathways Analysis to identify overexpressed genes in cancer tissues.

Potential Biases

Potential biases may arise from the reliance on existing microarray datasets.

Limitations

The study primarily focused on six cancer types and may not be generalizable to all cancers.

Participant Demographics

The study analyzed data from various cancer types including prostate, breast, lung, colon, ovary, and pancreas.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pone.0003661

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication