Scientists reveal three major subsets of KRAS-mutant LUAC

NewsGuard 100/100 Score

Mutations of the KRAS gene are commonly known to lead to cancer. However, deeper understanding of exactly how they do this continues to be explored by cancer researchers.

Scientists at The University of Texas MD Anderson Cancer Center have gained further insight about the processes behind KRAS mutations through a study that identified three subsets of lung cancer with mutations in this gene. This line of research has the potential to open up new approaches for treatment of lung adenocarcinoma (LUAC), the most common form of lung cancer.

The data was presented on April 19 at the 2015 American Association for Cancer Research (AACR) Annual Meeting in Philadelphia.

"The development of more effective treatments for LUAC-bearing activating mutations in KRAS has been hampered by the biological heterogeneity of KRAS-mutant tumors," said John Heymach, M.D., Ph.D., chair of Thoracic/Head & Neck Medical Oncology. "The molecular underpinnings that drive this process are poorly characterized."

Heymach and his study team adopted an integrated approach to the discovery of biologically distinct subsets of KRAS-mutant LUAC and explored their molecular vulnerabilities.

"Our work revealed three major subsets of KRAS-mutant LUAC, which were dominated by co-occurring genetic events, each biologically distinct and susceptible to different therapeutic strategies," said Ferdinandos Skoulidis, M.D., Ph.D., instructor of Thoracic/Head & Neck Medical Oncology.

The study used data from The Cancer Genome Atlas and other sources including the MD Anderson-led trial, Biomarker-integrated Approaches of Targeted Therapy for Lung Cancer Elimination (BATTLE-2) to identify three robust subsets of KRAS-mutant LUAC. Each of the subsets, KL, KP and KC, demonstrated unique intracellular signaling patterns. KL in particular showed enhanced sensitivity to several Hsp90 inhibitors, drugs that have shown therapeutic promise. In this case, an Hsp90 inhibitor called ganetespib appeared particularly effective.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Machine learning models identify immunophenotypes in NSCLC for immunotherapy guidance