Skip to main content
Premium Trial:

Request an Annual Quote

Ciphergen s SELDI Tech Helps Harvard Team Identify Likely Cancer Biomarker

NEW YORK, April 8 - Researchers at Harvard University have used protein-chip technology developed by Ciphergen Biosystems to identify a biomarker that might lead to faster detection of ovarian cancer.

The researchers showed that a certain protein peak was elevated in a majority of women with ovarian cancer whose sera was obtained and screened by Ciphergen's SELDI technology. The team identified this protein to be the alpha chain of haptoglobin.

Using the SELDI platform again to screen a number of these sera samples, the researchers recorded 90 percent specificity and 71 percent sensitivity when using the haptoglobin peak as the diagnostic criterion. This diagnostic accuracy exceeds that of any currently available blood test for ovarian cancer, the scientists said.


"We found that alpha subunit of the haptoglobin protein was elevated in serum samples across patients with different subtypes of ovarian tumors, and less so across the healthy control samples, suggesting that this protein may represent a novel marker, which may be used to detect ovarian cancer," Samuel Mok, director of the Laboratory of Gynecologic Oncology at the Brigham & Women's Hospital, Harvard Medical School, said in a Ciphergen statement.

The Scan

Vaccine Update Recommended

A US Food and Drug Administration panel recommends booster vaccines be updated to target Omicron, CNBC reports.

US to Make More Vaccines for Monkeypox Available

The US is to make nearly 300,000 vaccine doses available in the coming weeks to stem the spread of human monkeypox virus, according to NPR.

Sentence Appealed

The Associated Press reports that Swedish prosecutors are appealing the sentence given to a surgeon once lauded for transplanting synthetic tracheas but then convicted of causing bodily harm.

Genome Biology Papers on COVID-19 Effector Genes, Virtual ChIP-seq, scDART

In Genome Biology this week: proposed COVID-19 effector genes, method to predict transcription factor binding patterns, and more.