Compliance with the 62-day target does not improve long-term survival.

AIMS: Scottish Intercollegiate Guidelines Network (SIGN) guidelines require patients with colorectal cancer to wait no longer than 62 days from first referral to initiation of definitive treatment. We previously demonstrated that failure to meet with these guidelines did not appear to lead to poor outcomes in the short term. This study investigates whether this holds true over a longer period. METHODS: The survival status of 1,012 patients treated for colorectal cancer between January 1999 and June 2005 was reviewed. As in the previous audit, patients were placed into four groups, standard met (elective), standard met (emergency), standard failed (elective) and standard failed (emergency). Parameters analysed were pathological staging, 30-day mortality, long-term survival and cause of death. Data was analysed using log rank and chi-squared tests. RESULTS: Operative mortality was higher in patients meeting the standard (7% elective, 20% emergency) compared to those who did not meet the standard (4% elective, 7% emergency). The proportion of early stage disease (Dukes' A and B) was highest in elective patients who failed the standard (50%) and lowest in emergencies meeting the standard (30%). Long-term survival was greatest in elective patients who failed the standard with 52% alive in October 2011 compared to 34% of elective cases meeting the standard. The most common cause of recorded death was colorectal cancer in all groups. CONCLUSIONS: Patients who were not treated within the time frame set by the SIGN guidelines survived for longer following surgery. Reasons for this are likely to be multifactorial and include pathological cancer stage.

Characterization of Soybean Storage and Allergen Proteins Affected by Environmental and Genetic Factors.

There is limited information on the influence of genetic and environmental variability on soybean protein composition. This study aimed to determine the role of genotype (G), environments (E), and the interrelationship of genotype and environment (G×E) on soybean seed protein. Three sets of nine soybean genotypes were grown in replicated trials at Maryland, South Carolina, and South Dakota. At each location, the nine genotypes were grown with two planting/sowing dates. We applied two-dimensional gel electrophoresis and mass spectrometry to study the variability of soybean storage and allergen proteins. Statistical analysis of 47 storage and 8 allergen proteins, in terms of differentially expressed protein spots significant at the p<0.005 level, was performed. We found more spots that showed statistically significant differences in expression among E compared to G and G×E interaction.

Identification and validation of quantitative trait loci for seed yield, oil and protein contents in two recombinant inbred line populations of soybean.

Soybean seeds contain high levels of oil and protein, and are the important sources of vegetable oil and plant protein for human consumption and livestock feed. Increased seed yield, oil and protein contents are the main objectives of soybean breeding. The objectives of this study were to identify and validate quantitative trait loci (QTLs) associated with seed yield, oil and protein contents in two recombinant inbred line populations, and to evaluate the consistency of QTLs across different environments, studies and genetic backgrounds. Both the mapping population (SD02-4-59 × A02-381100) and validation population (SD02-911 × SD00-1501) were phenotyped for the three traits in multiple environments. Genetic analysis indicated that oil and protein contents showed high heritabilities while yield exhibited a lower heritability in both populations. Based on a linkage map constructed previously with the mapping population and using composite interval mapping and/or interval mapping analysis, 12 QTLs for seed yield, 16 QTLs for oil content and 11 QTLs for protein content were consistently detected in multiple environments and/or the average data over all environments. Of the QTLs detected in the mapping population, five QTLs for seed yield, eight QTLs for oil content and five QTLs for protein content were confirmed in the validation population by single marker analysis in at least one environment and the average data and by ANOVA over all environments. Eight of these validated QTLs were newly identified. Compared with the other studies, seven QTLs for seed yield, eight QTLs for oil content and nine QTLs for protein content further verified the previously reported QTLs. These QTLs will be useful for breeding higher yield and better quality cultivars, and help effectively and efficiently improve yield potential and nutritional quality in soybean.