Malignant hyperthermia may be due to a defect in a large Ca2+ release channel protein

Comprehensive genomic meta-analysis identifies intra-tumoural stroma as a predictor of survival in patients with gastric cancer

OBJECTIVE

Gastric adenocarcinoma (gastric cancer, GC) is a major cause of global cancer mortality. Identifying molecular programmes contributing to GC patient survival may improve our understanding of GC pathogenesis, highlight new prognostic factors and reveal novel therapeutic targets. The authors aimed to produce a comprehensive inventory of gene expression programmes expressed in primary GCs, and to identify those expression programmes significantly associated with patient survival.

DESIGN

Using a network-modelling approach, the authors performed a large-scale meta-analysis of GC transcriptome data integrating 940 gastric transcriptomes from multiple independent patient cohorts. The authors analysed a training set of 428 GCs and 163 non-malignant gastric samples, and a validation set of 288 GCs and 61 non-malignant gastric samples.

RESULTS

The authors identified 178 gene expression programmes ('modules') expressed in primary GCs, which were associated with distinct biological processes, chromosomal location patterns, cis-regulatory motifs and clinicopathological parameters. Expression of a transforming growth factor β (TGF-β) signalling associated 'super-module' of stroma-related genes consistently predicted patient survival in multiple GC validation cohorts. The proportion of intra-tumoural stroma, quantified by morphometry in tissue sections from gastrectomy specimens, was also significantly associated with stromal super-module expression and GC patient survival.

CONCLUSION

Stromal gene expression predicts GC patient survival in multiple independent cohorts, and may be closely related to the intra-tumoural stroma proportion, a specific morphological GC phenotype. These findings suggest that therapeutic approaches targeting the GC stroma may merit evaluation.

Muscle growth and muscle function: a molecular biological perspective

Molecular biological methods are pervading all biomedical fields and it is likely that they will soon introduce new techniques to veterinary diagnostics and have a major impact on food and fibre production in animal agriculture. The ability to manipulate muscle growth and phenotype will present new ethical problems, particularly if the techniques are used to manipulate muscle development in greyhounds and racehorses where the financial rewards could be very substantial. Muscle has been a useful tissue for the study of the molecular control of tissue development because terminal differentiation results in the production of large quantities of highly specialised proteins. Now that the functional anatomy of structural genes in muscle is being elucidated, a coherent picture is beginning to emerge of the way in which post-natal muscle growth and phenotype are regulated at the gene level. The hormones and growth factors involved in regulating the quantitative and qualitative changes in gene expression are now better understood, together with the ability of the tissue to adapt to physical signals and hence new activity patterns. The myosin heavy chain isoform genes which encode the myosin cross-bridges (the force generators for muscular contraction) exist as a large multigene family. The contractility and other characteristics of muscle depend to a large extent on the differential expression of members of this and other gene families. Muscle fibres adapt for increased power output by expressing a subset of "fast' genes and for increased economy of action by expressing a slow subset of genes and producing more mitochondria. With the increasing understanding of gene expression in muscle, there are prospects for manipulating the mass, contractility and other characteristics of muscle and also to change its phenotype and understand certain disease states.