Oncology News Round-Up: Improving Diagnosis with Biomarkers, AI, and More

Each week on DocWire News, editors bring you the latest hematology and oncology news and research. In case you missed it, here are this week’s top headlines.

Here are the highlights:

Keep reading for the breakdown on these top stories in cancer research and news!

Mike Powell on cfDNA Biomarker Algorithm that Predicts Treatment Response in Lung Cancer

This week on DocWire, editors spoke with Mike Powell, PhD, Chief Scientific Officer of DiaCarta, Inc., a precision molecular diagnostics company with proprietary technologies for the development of novel liquid biopsy oncology tests. A recent study found that DiaCarta’s cfDNA biomarker algorithm could function as a prognostic biomarker and efficacy predictor for non-small cell lung cancer. Watch the full interview for learn more.

Mike Powell on cfDNA Biomarker Algorithm that Predicts Treatment Response in Lung Cancer

Supportive Care after Prostate Cancer Treatment: Study Highlights Unmet Needs

What supportive care do men need after prostate cancer treatment? A study from researchers in Norway sought to evaluate the specific needs of this population by evaluating patients, their physicians, and relevant cancer organizations.

The researchers found four emergent themes:

  • Men with PCa have numerous needs for information, which should be optimally provided throughout process of cancer care and treatment.
  • Stakeholders must coordinate their efforts to support men with PCa during follow-up.
  • Supportive care resources are supplemental to healthcare services, but knowledge about these resources is variable.
  • Structured healthcare processes are needed to improve and optimize care offered to men with PCa.

Supportive Care after Prostate Cancer Treatment: Study Highlights Unmet Needs

Mayo Clinic Advocates new Approach to Breast Cancer Prevention

Researchers from Mayo Clinic Cancer Center suggest that advances in breast cancer prevention research have resulted in enhanced opportunities to modify breast cancer risk and potentially reduce breast cancer incident and death. “It is prudent for health care providers to be knowledgeable about the benefits of assessing individual breast cancer risk, and counsel and implement risk-reducing strategies with their patients,” says author Sandhya Pruthi, MD.

Mayo Clinic Advocates new Approach to Breast Cancer Prevention

Artificial Intelligence May Speed Lung Cancer Detection

Artificial intelligence (AI) may help diagnose lung cancer a year earlier than current practice, according to a study presented at the European Respiratory Society International Congress. Researchers assessed their novel AI technology on 1,179 lungs. The system detected 75 percent of all annotated nodules. Examining scans one year prior to diagnosis, the algorithm detected 152 malignant nodules among the 157 visible nodules.

Artificial Intelligence May Speed Lung Cancer Detection

Want to See More Oncology News?

Check out last week’s Oncology News Roundup, and be sure to keep up with the latest oncology news and research here on DocWire, updated daily!

Hematology & Oncology