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Potential New Treatment Target for Metastatic Cancer Identified

In a recent study led by Lei Jiang, Ph.D., an assistant professor of molecular and cellular endocrinology, a team of researchers from City of Hope and the University of Texas Southwestern Medical Center, found a potential new target for treating patients with metastatic cancer. Their findings were published in the August 29 issue of the journal Cell Rep orts.

The goal of the team’s study was to elucidate the role of reductive carboxylation in redox metabolism, a process believed to be important for metastatic cancer. Reductive carboxylation is best known as a metabolic pathway that provides a molecule called acetyl-CoA so that it can be turned into lipids, which is mediated by fatty acid synthase (FASN). The FASN-mediated lipogenesis process supports rapid growth in most proliferating cancer cells, and increased FASN expression has been viewed as a metabolic feature of cancer cells. Thus, FASN is considered a potential target to block tumor growth.


New research has identified that preventing the metabolic adaptations needed for cancer to metastasize could provide a target for treating patients with metastatic cancer.

How AI and Machine Learning Are Transforming Liver Disease Diagnosis and Treatment

AI can also help develop objective risk stratification scores, predict the course of disease or treatment outcomes in CLD or liver cancer, facilitate easier and more successful liver transplantation, and develop quality metrics for hepatology.


Artificial Intelligence (AI) is an umbrella term that covers all computational processes aimed at mimicking and extending human intelligence for problem-solving and decision-making. It is based on algorithms or arrays of mathematical formulae that make up specific computational learning methods. Machine learning (ML) and deep learning (DL) use algorithms in more complex ways to predict learned and new outcomes.

AI-powered liver disease diagnosis Machine learning for treatment planning Predicting disease progression The future of hepatology References Further reading

Hepatology largely depends on imaging, a field that AI can fully exploit. Machine learning is being pressed into play to extract rich information from imaging and clinical data to aid the non-invasive and accurate diagnosis of multiple liver conditions.

Researchers take steps toward stopping the ‘conversation’ between cancerous tumors and nerves

Cancer tumors hijack the genetic program used by developing nerves. This is shown in a study published in the journal Frontiers in Genetics by researchers at Umeå University. In the long term, the results may open up new ways of treating cancer by limiting the tumor’s interaction with the nerves.

“We are still only early in the research, but this opens up exciting opportunities to fight cancer in the body in a completely new way,” says Sara Wilson, associate professor of neurobiology at the Department of Integrative Medical Biology at Umeå University.

In cancer, there is an interaction between tumors and nerves. You could say that the tumor talks to the . The researchers believe that by interpreting this “conversation,” it will later be possible to find ways to break it and thus slow down the cancer or reduce the risk of it spreading.

Tomatoes, Lycopene & Cancer: The Juicy Research on this Pantry Essential

Join Dr. Ralph W. Moss and Ben Moss as they delve into the science of tomatoes and their potent component, lycopene. Uncover the groundbreaking research that positions lycopene as a significant agent against cancer. Discover the fascinating journey of lycopene from the humble tomato to its swift presence in our bloodstream, fueling our body’s defense mechanisms. This episode is a compelling look into how nature equips us with powerful tools to combat disease, and offers practical insights on maximizing the benefits of tomatoes in our diet.

Articles Cited in this Episode:

Karppi J, Kurl S, Nurmi T, Rissanen TH, Pukkala E, Nyyssönen K. Serum lycopene and the risk of cancer: the Kuopio Ischaemic Heart Disease Risk Factor (KIHD) study. Ann Epidemiol. 2009 Jul;19:512–8. doi: 10.1016/j.annepidem.2009.03.017. Epub 2009 May 13. PMID: 19443241.

https://www.sciencedirect.com/science/article/abs/pii/S10472…via%3Dihub.

Kim JY, Paik JK, Kim OY, Park HW, Lee JH, Jang Y, Lee JH. Effects of lycopene supplementation on oxidative stress and markers of endothelial function in healthy men. Atherosclerosis. 2011 Mar;215:189–95. doi: 10.1016/j.atherosclerosis.2010.11.036. Epub 2010 Dec 9. PMID: 21194693.

https://pubmed.ncbi.nlm.nih.gov/21194693/

Insilico uses Microsoft’s BioGPT to find targets for aging and disease

Insilico Medicine, a clinical-stage generative AI-driven drug discovery company has announced that the company has used Microsoft BioGPT to identify targets against both the aging process and major age-related diseases.

Longevity. Technology: ChatGPT – the AI chatbot – can craft poems, write webcode and plan holidays. Large language models (LLMs) are the cornerstone of chatbots like GPT-4; trained on vast amounts of text data, they have been contributing to advances in diverse fields including literature, art and science – but their potential in the complex realms of biology and genomics has yet to be fully unlocked.

The blackcap (Sylvia atricapilla) genome reveals a recent accumulation of LTR retrotransposons

The effect of a TE on its host can be classified analogous to the effect of point mutations. In the majority of cases, the consequences of a TE their activity (transposition to a new genomic site) is either neutral or deleterious. The latter occurs, when TEs disrupt genes and their functions, or when, they trigger de-novo genomic instability by transposition or TE-mediated chromosomal rearrangements, which can lead to disease1, 3. TEs can occasionally have a positive impact on the host genome, for example, by impacting gene regulatory networks. In the British peppered moth (Biston betularia), a TE inserted within the first intron of the cortex gene, resulted in increased transcription levels, subsequently affecting cell cycle regulation during wing-disc development through the amount of cortex protein product, resulting in the iconic melanic form4. However, more research is needed to understand these different evolutionary impacts that TEs can have when interacting with their host genome.

The increased accessibility to high throughput sequencing technologies has greatly increased our ability to analyse genetic differences caused by changes at the nucleotide level, and patterns of natural selection on coding sequences, and simultaneously allowed us to disentangle phenotypic differences at the nucleotide level. Mounting evidence has started to shed light on non-coding regions having important effects on genomic variation3. While TEs can be found in the genomes of virtually all organisms, large proportions of TEs are often absent from reference genomes, as their repetitive nature impedes their assembly and can result in collapsed regions within the reference genome2, 5. These difficulties have led to an increased demand for reference genomes that are of a higher quality and are more complete. More importantly, a new demand for high-quality annotations of non-coding regions in reference genomes has surfaced. Annotations of non-coding regions are imperative to study the evolution of these regions between and within species. Improvements in sequencing techniques, especially the addition of long-read sequencing, and improved bioinformatic analytical tools are resulting in the assembly of increasingly gapless reference genomes, enabling the curation of high-quality TE annotations.

The current efforts of large consortia, such as the VGP6 and the B10K7 to create high-quality references for a wide variety of organisms provide invaluable data to improve our endeavours for a better understanding of TEs. With these new resources we can take our research into TEs and their effects on host genomes further, for example, to better understand the evolution of complex traits across phylogenomic scales. One such a complex trait is seasonal bird migration and recent research across a migratory divide in willow warblers identified a diagnostic TE correlated with migratory direction8. Here we focus on the Eurasian blackcap (Sylvia atricapilla), another iconic model species for bird migration, and consequently, the resource published here may be able to add insight to the quest to resolve the genetic background of migratory behaviour.

Examining the genesis of CRISPR’s molecular scissors

Genome engineering may be the future of medicine, but it relies on evolutionary advances made billions of years ago in primordial bacteria, the original masters of gene editing.

Modern day genome engineers like Columbia’s Sam Sternberg are always looking forward, modifying these ancient systems and pushing them to perform ever more complex feats of gene editing.

But to uncover , it sometimes pays to look backward in time to understand how bacteria first created the original systems, and why.

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