Skip to main content
Premium Trial:

Request an Annual Quote

Ohio State Researcher Resigns

An Ohio State University cancer researcher resigned following findings of misconduct, Science reports. A committee established by the university found that the researcher, Ching-Shih Chen, falsified images and fabricated data in eight papers, it adds.

Allegations of misconduct arose in 2016 after the Ohio State University Office of Research received an anonymous complaint that noted irregularities in figures in six papers, according to the university's report. In its investigation, the committee uncovered additional instance of misconduct. It also found that Chen lab members sometimes did not keep lab notebooks and only provided weekly updates about their experiments.

Science notes that OSU hired the Weinberg Group to assess whether a compound described in Chen's work and licensed to Arno Therapeutics was affected by the misconduct. The firm reports there was a limited effect and that "the suspended OSU‐15004 may be resumed without any risk to patients associated with the removed publications." Science adds that Arno announced late last year that it was disbanding, and that the company says that decision was unrelated.

OSU has also called on Chen to retract the eight affected papers and correct an additional three.

The Scan

RNA Editing in Octopuses Seems to Help Acclimation to Shifts in Water Temperature

A paper in Cell reports that octopuses use RNA editing to help them adjust to different water temperatures.

Topical Compound to Block EGFR Inhibitors May Ease Skin Toxicities, Study Finds

A topical treatment described in Science Translational Medicine may limit skin toxicities seen with EGFR inhibitor therapy.

Dozen Genetic Loci Linked to Preeclampsia Risk in New GWAS

An analysis of genome-wide association study data in JAMA Cardiology finds genetic loci linked to preeclampsia that have ties to blood pressure.

Cancer Survival Linked to Mutational Burden in Pan-Cancer Analysis

A pan-cancer paper appearing in JCO Precision Oncology suggests tumor mutation patterns provide clues for predicting cancer survival that are independent of other prognostic factors.