Articles

Cancer Research News Focus: A tour of the developing cancer landscape

From reproducibility to genomic data sets to the best countries for research, plus a look at what some specific companies and institutions are doing
Written byJeffrey Bouley
| 11 min read

Welcome to the first of several sections to be featured this year in DDNews with an eye on cancer research news. The topic, of course, isn’t a new one for us. Oncology is one of the single most common topics on which our news stories focus, and we have an entire website devoted to the topic at www.ddncancer.com that runs parallel to our site at www.ddn-news.com.

With so much to cover, we decided to run four “Special Focus” sections on cancer research this year, debuting with this one and then showing up again in the July, October and December issues. How they will shape up in the months to come largely depends on what news is out there at the time, but some might have specific topic focuses, such as we did with the Special Focus on Cancer in the September 2016 issue of DDNews that looked solely at immuno-oncology.

In this section, you’ll find stories from specific institutions and companies that touch on cancer research, but before we get to those, we wanted to give you a broader look at a few issues pertinent to the oncology scene: reproducibility, genomics data availability and promising locations to conduct research.

The issue of reproducibility

This topic is particularly timely with the growing concerns in general about difficulties in getting the same results from the same samples, labs or similar studies. In fact, in this February 2017 issue our bimonthly contributor Peter Kissinger talks about that very issue (though not in regards to cancer specifically) in the column “The irreproducibility of published science.”

But dovetailing with that came some thoughts from a representative of Bio-Rad Laboratories who contacted us regarding a study published in December in Analytical Chemistry that demonstrated inter-lab reproducibility for the measurement of an important genetic marker for guiding therapy of certain cancers. This marker is challenging to quantify reproducibly using quantitative PCR (qPCR) or next-generation sequencing (NGS), but a number of laboratories were able to quantify the marker with similar results in all samples using digital PCR—Bio-Rad, as you might imagine, was the maker of the digital PCR technology used for the study.

As the representative noted, “this finding is in stark contrast to a recent JAMA Oncology article that reported wildly different gene sequencing results between two different commercially available tests.”

In the Analytical Chemistry study, titled “International Interlaboratory Digital PCR Study Demonstrating High Reproducibility for the Measurement of a Rare Sequence Variant,” the researcher set out to test the claim that digital PCR (dPCR) can offer highly reproducible quantitative measurements in disparate laboratories. Twenty-one laboratories measured four blinded samples containing different quantities of a KRAS fragment encoding G12D, an important genetic marker for guiding therapy of certain cancers.

As for why this marker is challenging to quantify reproducibly using qPCR or NGS, that is because of the presence of competing wild type sequences and the need for calibration. Using dPCR, however, 18 laboratories were able to quantify the G12D marker within 12 percent of each other in all samples, the authors notes, adding, “Three laboratories appeared to measure consistently outlying results; however, proper application of a follow-up analysis recommendation rectified their data. Our findings show that dPCR has demonstrable reproducibility across a large number of laboratories without calibration. This could enable the reproducible application of molecular stratification to guide therapy and, potentially, for molecular diagnostics.”

The JAMA Oncology article that found some problems with irreproducibility focused on NGS systems and was titled “Comparison of 2 Commercially Available Next-Generation Sequencing Platforms in Oncology.

Access to genomic data

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Published In

Volume 13 - Issue 2 | February 2017

February 2017

February 2017 Issue

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