Posted on September 17th, 2020 by Matthew Morton in Pharma R&D
Pancreatic cancer sadly remains one of the most deadly cancers in existence, partly because it often goes undiagnosed until it has already metastasized. Finding new and better therapies to fight pancreatic cancer means accelerating the research. A new report just released from Elsevier’s Professional Services Group, titled Text mining to identify emerging trends in the pancreatic cancer literature, shows how that is possible.
Elsevier Life
Sciences consultant Eric Gilbert authored the report, utilizing Elsevier’s text
mining tool to zero in on trends published in the scientific literature over
the last couple years. Accomplishing this involved a sophisticated process –
facilitated by Elsevier’s Natural Language Processing engine – of identifying
trending taxonomy terms and filtering to get the most relevant results. (While
the method was used here specifically for pancreatic cancer, it is flexible and
can capture trending terms for any subject.)
As the report’s
Executive Summary shows, key findings include:
- The upregulation of two long non-coding RNAs (lncRNA) XIST and linc00511 in pancreatic tissue were correlated with poor patient outcomes.
- Higher levels of the methyl transferase METTL3 and lower levels of the demethylase ALKBH5 resulted in higher levels of methylated m6A RNA and poorer prognosis.
- The induction of ferroptosis, a type of regulated cell death, is being looked at as a potential treatment for pancreatic cancer.
- New insights into the mechanisms of pancreatic cancer’s ‘immune evasion’ are being reported.
- There is increasing evidence that propofol has biological effects that may alter the progression of pancreatic cancer.
These findings
reflect a number of really intriguing and promising developments in the world
of pancreatic cancer research. And keeping on top of advances and insights like
these is vital for the Life Sciences community in order to stay at the leading
edge of research and discovery.
To learn more about these and other emerging trends in pancreatic cancer research, please download the full report here.
Feel free to contact us if you want to find out more about Elsevier’s text mining tool or how the Professional Services Group can help you with your own custom research reports.
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