It is well known that the emergence of cancer is a multi-step process, but because of the efforts of The Cancer Genome Atlas (TCGA), funded by the US National Institutes of Health, and other large-scale cancer genomics efforts, for the first time this process can be viewed in exquisite molecular detail, mapping mutations and other molecular events affecting any of the 20,000 genes in a human cell.
Now, two major hypotheses have been confirmed from the genomic analysis of more than 3000 samples from 12 different tumor types: a limited number of specific genetic events appear to cause most tumor subtypes and tumors can be grouped by the oncogenic signatures they contain, no matter what the tissue of origin. That these oncogenic signatures are largely independent of the particular tissue in which the cancer arises indicates that certain drug combinations may be beneficial for select patients with different types of cancer.
"In future clinical trials, we envision that patients with a certain type of endometrial cancer, for example, may be enrolled in the same trial as patients with a subtype of colorectal cancer, and that patient selection for clinical trials can be guided by cancer genomics profiling in the clinic," stated Chris Sander, one of the principal investigators of Memorial Sloan-Kettering's Genome Data Analysis Center. "This work is intended to help in the design of such trials and the development of more-personalized cancer therapies."
The ability to reveal sets of cancer-causing events in molecular detail is based on three major technical and scientific developments in the last decade. New high-throughput genomic technologies and lower operating costs have enabled the collection of genetic data from many thousands of tumors. The experience and knowledge accumulated in cancer genomics in many laboratories has taught us which of the many molecular alterations in cancer are likely to contribute to oncogenesis. Linking data and knowledge, new algorithms and methods for large data analysis in the field of computational biology provide the ability to find the proverbial needles in the haystack: to derive cancer-causing molecular genetic signatures and link them to tumor subtypes and potential therapies on the background of extremely high levels of informational noise.
The Memorial Sloan-Kettering team and their colleagues in TCGA and the International Cancer Genome Consortium plan to expand these comprehensive analyses to tens of thousands of tumor samples. A glimpse of the molecular tumor landscape in more than 13,000 tumor samples is already accessible in the cBioPortal for Cancer Genomics at http://www.cbioportal.org.
Principal authors on the study are Giovanni Ciriello, Nikolaus Schultz, and Chris Sander of the Computational Biology Center at Memorial Sloan-Kettering.
The current research was supported in part by the National Cancer Institute under award number U24 CA143840.
About Memorial Sloan-Kettering Cancer Center
Memorial Sloan-Kettering Cancer Center is the world's oldest and largest private cancer center with more than 125 years devoted to exceptional patient care, innovative research, and outstanding educational programs. We are one of 41 National Cancer Institute–designated Comprehensive Cancer Centers, with state-of-the-art science flourishing side by side with clinical studies and treatment.
The close collaboration between our physicians and scientists enables us to provide patients with the best care available as we work to discover more-effective strategies to prevent, control, and ultimately cure cancer in the future. Our education programs train future physicians and scientists, and the knowledge and experience they gain at Memorial Sloan-Kettering has an impact on cancer treatment and biomedical research around the world. For more information, go to http://www.mskcc.org.
Caitlin Hool | EurekAlert!
The birth of a new protein
20.10.2017 | University of Arizona
Building New Moss Factories
20.10.2017 | Albert-Ludwigs-Universität Freiburg im Breisgau
University of Maryland researchers contribute to historic detection of gravitational waves and light created by event
On August 17, 2017, at 12:41:04 UTC, scientists made the first direct observation of a merger between two neutron stars--the dense, collapsed cores that remain...
Seven new papers describe the first-ever detection of light from a gravitational wave source. The event, caused by two neutron stars colliding and merging together, was dubbed GW170817 because it sent ripples through space-time that reached Earth on 2017 August 17. Around the world, hundreds of excited astronomers mobilized quickly and were able to observe the event using numerous telescopes, providing a wealth of new data.
Previous detections of gravitational waves have all involved the merger of two black holes, a feat that won the 2017 Nobel Prize in Physics earlier this month....
Material defects in end products can quickly result in failures in many areas of industry, and have a massive impact on the safe use of their products. This is why, in the field of quality assurance, intelligent, nondestructive sensor systems play a key role. They allow testing components and parts in a rapid and cost-efficient manner without destroying the actual product or changing its surface. Experts from the Fraunhofer IZFP in Saarbrücken will be presenting two exhibits at the Blechexpo in Stuttgart from 7–10 November 2017 that allow fast, reliable, and automated characterization of materials and detection of defects (Hall 5, Booth 5306).
When quality testing uses time-consuming destructive test methods, it can result in enormous costs due to damaging or destroying the products. And given that...
Using a new cooling technique MPQ scientists succeed at observing collisions in a dense beam of cold and slow dipolar molecules.
How do chemical reactions proceed at extremely low temperatures? The answer requires the investigation of molecular samples that are cold, dense, and slow at...
Scientists from the Max Planck Institute of Quantum Optics, using high precision laser spectroscopy of atomic hydrogen, confirm the surprisingly small value of the proton radius determined from muonic hydrogen.
It was one of the breakthroughs of the year 2010: Laser spectroscopy of muonic hydrogen resulted in a value for the proton charge radius that was significantly...
17.10.2017 | Event News
10.10.2017 | Event News
10.10.2017 | Event News
20.10.2017 | Information Technology
20.10.2017 | Materials Sciences
20.10.2017 | Interdisciplinary Research