Welcome to my blog on surgery and related sciences. Here I will express views on the art and science of surgery in general. Any comments and thoughts are most welcomed.

Tuesday 19 August 2014

Career choice in medicine

Finding your career track has become more easy with this algorithm:

Sunday 6 April 2014

What is the role of EMAST in cancer?

Prevalence and implications of elevated microsatellite alterations at selected tetranucleotides in cancer

From Watson et al. British Journal of Cancer advance online publication 1 April 2014; doi: 10.1038/bjc.2014.167

Elevated microsatellite alterations at selected tetranucleotides (EMAST), a variation of microsatellite instability (MSI), has been reported in a variety of malignancies (e.g., neoplasias of the lung, head and neck, colorectal region, skin, urinary tract and reproductive organs). EMAST is more prominent at organ sites with potential external exposure to carcinogens (e.g., head, neck, lung, urinary bladder and colon), although the specific molecular mechanisms leading to EMAST remain elusive. Because it is often associated with advanced stages of malignancy, EMAST may be a consequence of rapid cell proliferation and increased mutagenesis. Moreover, defects in DNA mismatch repair enzyme complexes, TP53 mutation status and peritumoural inflammation involving T cells have been described in EMAST tumours. At various tumour sites, EMAST and high-frequency MSI share no clinicopathological features or molecular mechanisms, suggesting their existence as separate entities. Thus EMAST should be explored, because its presence in human cells may reflect both increased risk and the potential for early detection. In particular, the potential use of EMAST in prognosis and prediction may yield novel types of therapeutic intervention, particularly those involving the immune system. 

In a just released review in the BJC we will summarise the current information concerning EMAST in cancer to highlight the knowledge gaps that require further research

Sunday 30 March 2014

Cellular metabolism in colorectal carcinogenesis: Influence of lifestyle, gut microbiome and metabolic pathways



The interconnectivity between diet, gut microbiota and cell molecular responses is well known; however, only recently has technology allowed the identification of strains of microorganisms harbored in the gastrointestinal tract that may increase susceptibility to cancer. The colonic environment appears to play a role in the development of colon cancer, which is influenced by the human metabolic lifestyle and changes in the gut microbiome. Studying metabolic changes at the cellular level in cancer be useful for developing novel improved preventative measures, such as screening through metabolic breath-tests or treatment options that directly affect the metabolic pathways responsible for the carcinogenicity.

see more @  Hagland HR, Søreide K. Cellular metabolism in colorectal carcinogenesis:
Influence of lifestyle, gut microbiome and metabolic pathways. Cancer Lett. 2014 
Mar 12. pii: S0304-3835(14)00133-5. doi: 10.1016/j.canlet.2014.02.026.



Friday 7 February 2014

Defining CIMP in epigenetics - a walk in the park?

Defining CIMP for correct classification of epigenetically altered tumors can be a challenging task, yet correct classification is very important for understanding tumor biology, identifying molecular classes that can explain differences in outcome or response to therapy, and for comparison between results from different groups.

We have recently added to the debate by comparing a set of commonly agreed panels to assess CIMP. The discrepancy between some of the markers and panels - and, depending on the number of genes and the number of probes in each gene included - was considerable and (maybe) even disturbing!

read the full text paper published in Plos One, if you would like to read beyond the abstract:

PLoS One. 2014 Jan 21;9(1):e86657. doi: 10.1371/journal.pone.0086657. eCollection 2014.

Comparison of CpG Island Methylator Phenotype (CIMP) Frequency in Colon Cancer Using Different Probe- and Gene-Specific Scoring Alternatives on Recommended Multi-Gene Panels.

Berg M1Hagland HR2Søreide K3.


Abstract

BACKGROUND:

In colorectal cancer a distinct subgroup of tumours demonstrate the CpG island methylator phenotype (CIMP). However, a consensus of how to score CIMP is not reached, and variation in definition may influence the reported CIMP prevalence in tumours. Thus, we sought to compare currently suggested definitions and cut-offs for methylation markers and how they influence CIMP classification in colon cancer.

METHODS:

Methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA), with subsequent fragment analysis, was used to investigate methylation of tumour samples. In total, 31 CpG sites, located in 8 different genes (RUNX3, MLH1, NEUROG1, CDKN2A, IGF2, CRABP1, SOCS1 and CACNA1G) were investigated in 64 distinct colon cancers and 2 colon cancer cell lines. The Ogino gene panel includes all 8 genes, in addition to the Weisenberger panel of which only 5 of the 8 genes included were investigated. In total, 18 alternative combinations of scoring of CIMP positivity on probe-, gene-, and panel-level were analysed and compared.

RESULTS:

For 47 samples (71%), the CIMP status was constant and independent of criteria used for scoring; 34 samples were constantly scored as CIMP negative, and 13 (20%) consistently scored as CIMP positive. Only four of 31 probes (13%) investigated showed no difference in the numbers of positive samples using the different cut-offs. Within the panels a trend was observed that increasing the gene-level stringency resulted in a larger difference in CIMP positive samples than increasing the probe-level stringency. A significant difference between positive samples using 'the most stringent' as compared to 'the least stringent' criteria (20% vs 46%, respectively; p<0.005) was demonstrated.

CONCLUSIONS:

A statistical significant variation in the frequency of CIMP depending on the cut-offs and genes included in a panel was found, with twice as many positives samples by least compared to most stringent definition used.