Are differences in stage at presentation a credible explanation for reported differences in the survival of patients with colorectal cancer in Europe?

High frequency of BRAF proto-oncogene hot spot mutation V600E in cohort of colorectal cancer patients from Ahvaz City, southwest Iran

Colorectal cancer (CRC) is one of the most common forms of cancer around the world. Sporadic CRCs are caused by accumulation of mutations in essential genes regulating normal proliferation and differentiation of cells. The proto-oncogene BRAF encoded by the BRAF gene is involved in the RAS/RAF/MAPK pathway of signal transduction during cell growth. Acquired mutations in BRAF have been found at high frequencies in adult patients with papillary thyroid carcinoma and sporadic CRC. One of the predominant hot spot point mutations is T1799A (V600E) mutation among a cohort of CRC patients from Ahvaz city, southwest Iran. The aim of this study was to estimate the frequency of V600E mutation in CRC patients from Ahvaz city, southwest Iran. We analyzed exon 15 of the BRAF gene in isolated DNA from 80 Formalin Fixed Paraffin-embedded (FFPE) CRC tumor tissues using PCR-RFLP method. Data were analyzed using SPSS statistical program. According to our results 37 out of 80 cases (46.25%) were heterozygous for the mutation while the remaining 43 cases (53.75%) had normal homozygous genotype. No homozygous mutant genotype was found. Based on our findings, the frequency of V600E mutation appears to be significantly increased among CRC patients of the studied population but there was no significant relationship between genotypes and age and sex. In conclusion, these findings might prove the effect of V600E mutation on CRC pathogenesis. However, the exact effect of the mutation in CRC progression requires further work.

Haematological malignancies: the rationale for integrated haematopathology services, key elements of organization and wider contribution to patient care

The National Institute for Clinical Excellence (NICE) defined the process of care for haematological malignancies in Improving outcomes in haematological cancers. The manual in 2003. The most challenging recommendation has been the requirement to develop integrated laboratory services for accurate diagnosis. This is an aim that has not been fully achieved. The unified concept of haematological malignancy is recent and based on an understanding of the cellular pathology of the bone marrow and immune systems. Historical UK pathology practice has previously resulted in the separation of laboratory haematology from histopathology and of liquid and tissue specimens. Proposals for reintegration and centralization with specialist-led, centralized diagnostic and reporting services challenge the fragmented historical model. Accuracy and certainty of diagnosis remains problematic, particularly for lymphomas, with evidence that the accuracy of diagnosis is slowly improving but still only approaches 85%. There is a potentially significant human and financial cost of diagnostic errors. No nationwide, validated and comparable epidemiology/population-based data exist for accurate and complete ascertainment of new cases of haematological cancer, service planning or clinical outcomes monitoring. This article examines the original rationale behind the NICE guidance and outlines the key components and processes of an integrated diagnostic service.

Multilevel latent class casemix modelling: a novel approach to accommodate patient casemix

Background

Using routinely collected patient data we explore the utility of multilevel latent class (MLLC) models to adjust for patient casemix and rank Trust performance. We contrast this with ranks derived from Trust standardised mortality ratios (SMRs).

Methods

Patients with colorectal cancer diagnosed between 1998 and 2004 and resident in Northern and Yorkshire regions were identified from the cancer registry database (n = 24,640). Patient age, sex, stage-at-diagnosis (Dukes), and Trust of diagnosis/treatment were extracted. Socioeconomic background was derived using the Townsend Index. Outcome was survival at 3 years after diagnosis. MLLC-modelled and SMR-generated Trust ranks were compared.

Results

Patients were assigned to two classes of similar size: one with reasonable prognosis (63.0% died within 3 years), and one with better prognosis (39.3% died within 3 years). In patient class one, all patients diagnosed at stage B or C died within 3 years; in patient class two, all patients diagnosed at stage A, B or C survived. Trusts were assigned two classes with 51.3% and 53.2% of patients respectively dying within 3 years. Differences in the ranked Trust performance between the MLLC model and SMRs were all within estimated 95% CIs.

Conclusions

A novel approach to casemix adjustment is illustrated, ranking Trust performance whilst facilitating the evaluation of factors associated with the patient journey (e.g. treatments) and factors associated with the processes of healthcare delivery (e.g. delays). Further research can demonstrate the value of modelling patient pathways and evaluating healthcare processes across provider institutions.

Multilevel latent class casemix modelling: a novel approach to accommodate patient casemix

BACKGROUND

Using routinely collected patient data we explore the utility of multilevel latent class (MLLC) models to adjust for patient casemix and rank Trust performance. We contrast this with ranks derived from Trust standardised mortality ratios (SMRs).

METHODS

Patients with colorectal cancer diagnosed between 1998 and 2004 and resident in Northern and Yorkshire regions were identified from the cancer registry database (n = 24,640). Patient age, sex, stage-at-diagnosis (Dukes), and Trust of diagnosis/treatment were extracted. Socioeconomic background was derived using the Townsend Index. Outcome was survival at 3 years after diagnosis. MLLC-modelled and SMR-generated Trust ranks were compared.

RESULTS

Patients were assigned to two classes of similar size: one with reasonable prognosis (63.0% died within 3 years), and one with better prognosis (39.3% died within 3 years). In patient class one, all patients diagnosed at stage B or C died within 3 years; in patient class two, all patients diagnosed at stage A, B or C survived. Trusts were assigned two classes with 51.3% and 53.2% of patients respectively dying within 3 years. Differences in the ranked Trust performance between the MLLC model and SMRs were all within estimated 95% CIs.

CONCLUSIONS

A novel approach to casemix adjustment is illustrated, ranking Trust performance whilst facilitating the evaluation of factors associated with the patient journey (e.g. treatments) and factors associated with the processes of healthcare delivery (e.g. delays). Further research can demonstrate the value of modelling patient pathways and evaluating healthcare processes across provider institutions.

Comparison of cancer survival in UK and Australia: rates are higher in Australia for three major sites

Relative survival of patients diagnosed with cancers of the colorectum, lung and female breast from Yorkshire, UK and New South Wales (NSW), Australia in 1992–2000 were compared using multiple regression models to adjust for various factors. Statistically significant differences were observed for all sites, Yorkshire patients having a 47–58% higher risk of excess death than those of NSW.

Lymph node harvests directly influence the staging of colorectal cancer: evidence from a regional audit

AIMS

To assess the quality of histopathology reporting and accuracy of Dukes's staging of colorectal cancers in the former South Western Health region and to determine the impact of numbers of lymph nodes examined on stage ascription.

METHODS

Histopathology reports of colorectal cancer for 1993-7 were analysed. Completeness was assessed regarding reported numbers of lymph nodes examined, numbers found positive, Dukes's stage, and ICD9 code. Numbers of lymph nodes examined, numbers found positive, and Dukes's stage were recorded. Results from one hospital known to have high standards of reporting were compared with those from elsewhere.

RESULTS

In total, 629 reports were examined from the reference hospital and 918 from elsewhere. Fewer than one in 20 (4.3%) reports from the reference hospital were incomplete, compared with a third (36.1%) elsewhere. The average number of nodes examined for each case at the reference hospital was 18.81 and 6.41 elsewhere. The average number of positive nodes for each case was 2.47 at the reference hospital and 1.15 elsewhere. The proportion of Dukes's stage C cases was significantly higher at the reference hospital than elsewhere. Ascertainment of Dukes's stage C cases was related to number of lymph nodes examined, with optimal ascertainment levels when at least 10 and fewer than 15 nodes were examined.

CONCLUSIONS

Standards of histopathology reporting, and ascertainment of Dukes's stage C, were significantly higher at the reference hospital. Variations in ascertainment levels of Dukes's stage C disease mainly resulted from variations in the numbers of lymph nodes examined.