MATERIALS AND METHODS: The questionnaire was distributed in eight major cities in West Malaysia during the World Health Digestive Day (WDHD) campaign. Two thousand four hundred and eight respondents participated in this survey.
RESULTS: Generally, awareness of colorectal cancer was found to be relatively good. Symptoms such as change in bowel habit, blood in the stool, weight loss and abdominal pain were well recognized by 86.6%, 86.9%, 83.4% and 85.6% of the respondents, respectively. However, common risk factors such as positive family history, obesity and old age were acknowledged only by less than 70% of the respondents. Almost 80% of the respondents are willing to take the screening test even without any apparent symptoms. Colonoscopy is the preferred screening method, but only 37.5% were willing to pay from their own pocket to get early colonoscopy.
CONCLUSIONS: Continous cancer education should be promoted with more involvement from healthcare providers in order to make future colorectal cancer screening programs successful.
METHODS: Participants aged ≥40 years (n = 730) from randomly selected households in Selangor State Malaysia, completed interview-based assessments. Campaign reach was assessed in terms of responses to an adapted questionnaire that was used in evaluations in other countries. The impact of the campaign was assessed in terms of awareness, confidence to detect symptoms and self-efficacy to discuss symptoms with a doctor as captured by the Cancer Awareness Measure (CAM). CAM was administered before-and-after campaign implementation and responses by BCAC recognisers (i.e. participants who recognised one or more of the BCAC television, radio or print advertisements when prompted) and non-recognisers (i.e. participants who did not recognise any of the BCAC advertisements) were compared analytically. Logistic regression analysed comparative differences in cancer awareness by socio-demographic characteristics and recognition of the BCAC materials.
RESULTS: Over 65% of participants (n = 484) recognised the BCAC-CRC. Campaign-recognisers were significantly more likely to be aware of each CRC symptom at follow-up and were more confident about noticing symptoms (46.9% vs 34.9%, p = 0.018) compared to non-recognisers. There was no difference between groups in terms of self-efficacy to see a doctor about symptoms. Improved symptoms awareness at follow-up was lower for Indians compared to Malays (adjusted odds ratio (OR) 0.53, 95% Confidence Interval (CI): 0.34, 0.83, p = 0.005). Health service use data did not indicate an increase in screening activity during or immediately after the campaign months.
CONCLUSION: Overall, the findings of the evaluation indicated that the culturally adapted, evidence-based mass media intervention improved CRC symptom awareness among the Malaysian population; and that impact is more likely when a campaign operates a differentiated approach that matches modes of communication to the ethnic and social diversity in a population.
METHODS: A multi-center, prospective colonoscopy study involving 16 Asia-Pacific regions was performed from 2008 to 2015. Consecutive self-referred CRC screening participants aged 40-70 years were recruited, and each subject received one direct optical colonoscopy. The prevalence of CRC, ACN, and colorectal adenoma was compared among subjects with different FDRs affected using Pearson's χ2 tests. Binary logistic regression analyses were performed to evaluate the risk of these lesions, controlling for recognized risk factors including age, gender, smoking habits, alcohol drinking, body mass index, and the presence of diabetes mellitus.
RESULTS: Among 11,797 asymptomatic subjects, the prevalence of CRC was 0.6% (none: 0.6%; siblings: 1.1%; mother: 0.5%; father: 1.2%; ≥2 members: 3.1%, P<0.001), that of ACN was 6.5% (none: 6.1%; siblings: 8.3%; mother: 7.7%; father: 8.7%; ≥2 members: 9.3%, P<0.001), and that of colorectal adenoma was 29.3% (none: 28.6%; siblings: 33.5%; mother: 31.8%; father: 31.1%; ≥2 members: 38.1%, P<0.001). In multivariate regression analyses, subjects with at least one FDR affected were significantly more likely to have CRC (adjusted odds ratio (AOR)=2.02-7.89), ACN (AOR=1.55-2.06), and colorectal adenoma (AOR=1.31-1.92) than those without a family history. The risk of CRC (AOR=0.90, 95% confidence interval (CI) 0.34-2.35, P=0.830), ACN (AOR=1.07, 95% CI 0.75-1.52, P=0.714), and colorectal adenoma (AOR=0.96, 95% CI 0.78-1.19, P=0.718) in subjects with either parent affected was similar to that of subjects with their siblings affected.
CONCLUSIONS: The risk of colorectal neoplasia was similar among subjects with different FDRs affected. These findings do not support the need to discriminate proband identity in screening participants with affected FDRs when their risks of colorectal neoplasia were estimated.
METHODS: A cross-sectional survey was conducted among primary care physicians (PCPs) in public primary care clinics in Kuala Lumpur, Malaysia. A 30-item self-administered questionnaire was used to assess the knowledge and practice of CRC screening.
RESULTS: The response rate was 86.4% (n = 197/228). Less than half (39.1%) of the respondents answered correctly for all risk stratification scenarios. Mean knowledge score on CRC screening modalities was 48.7% ± 17.7%. The knowledge score was positively associated with having postgraduate educational qualification and usage of screening guidelines. Overall, 69.9% of PCPs reported that they practised screening. However, of these, only 25.9% of PCPs screened over 50% of all eligible patients. PCPs who agreed that screening was cost-effective (odds ratio [OR] 3.34, 95% confidence interval [CI] 1.69‒6.59) and those who agreed that they had adequate resources in their locality (OR 1.92, 95% CI 1.01‒3.68) were more likely to practise screening. Knowledge score was not associated with the practice of screening (p = 0.185).
CONCLUSION: Knowledge and practice of CRC screening was inadequate among PCPs. Knowledge of screening did not translate into its practice. PCPs' perceptions about cost-effectiveness of screening and adequate resources were important determinants of the practice of screening.
METHODS: In this study, conducted in Malaysia, we evaluated the seven-gene biomarker panel validated in a North American population using blood samples collected from local patients. The panel employs quantitative RT-PCR (qRT-PCR) to analyze gene expression of the seven biomarkers (ANXA3, CLEC4D, TNFAIP6, LMNB1, PRRG4, VNN1 and IL2RB) that are differentially expressed in CRC patients as compared with controls. Blood samples from 210 patients (99 CRC and 111 controls) were collected, and total blood RNA was isolated and subjected to quantitative RT-PCR and data analysis.
RESULTS: The logistic regression analysis of seven-gene panel has an area under the curve (AUC) of 0.76 (95% confidence interval: 0.70 to 0.82), 77% specificity, 61% sensitivity and 70% accuracy, comparable to the data obtained from the North American investigation of the same biomarker panel.
CONCLUSIONS: Our results independently confirm the results of the study conducted in North America and demonstrate the ability of the seven biomarker panel to discriminate CRC from controls in blood samples drawn from a Malaysian population.
METHODS AND FINDINGS: The association of metabolically defined body size phenotypes with colorectal cancer was investigated in a case-control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Metabolic health/body size phenotypes were defined according to hyperinsulinaemia status using serum concentrations of C-peptide, a marker of insulin secretion. A total of 737 incident colorectal cancer cases and 737 matched controls were divided into tertiles based on the distribution of C-peptide concentration amongst the control population, and participants were classified as metabolically healthy if below the first tertile of C-peptide and metabolically unhealthy if above the first tertile. These metabolic health definitions were then combined with body mass index (BMI) measurements to create four metabolic health/body size phenotype categories: (1) metabolically healthy/normal weight (BMI < 25 kg/m2), (2) metabolically healthy/overweight (BMI ≥ 25 kg/m2), (3) metabolically unhealthy/normal weight (BMI < 25 kg/m2), and (4) metabolically unhealthy/overweight (BMI ≥ 25 kg/m2). Additionally, in separate models, waist circumference measurements (using the International Diabetes Federation cut-points [≥80 cm for women and ≥94 cm for men]) were used (instead of BMI) to create the four metabolic health/body size phenotype categories. Statistical tests used in the analysis were all two-sided, and a p-value of <0.05 was considered statistically significant. In multivariable-adjusted conditional logistic regression models with BMI used to define adiposity, compared with metabolically healthy/normal weight individuals, we observed a higher colorectal cancer risk among metabolically unhealthy/normal weight (odds ratio [OR] = 1.59, 95% CI 1.10-2.28) and metabolically unhealthy/overweight (OR = 1.40, 95% CI 1.01-1.94) participants, but not among metabolically healthy/overweight individuals (OR = 0.96, 95% CI 0.65-1.42). Among the overweight individuals, lower colorectal cancer risk was observed for metabolically healthy/overweight individuals compared with metabolically unhealthy/overweight individuals (OR = 0.69, 95% CI 0.49-0.96). These associations were generally consistent when waist circumference was used as the measure of adiposity. To our knowledge, there is no universally accepted clinical definition for using C-peptide level as an indication of hyperinsulinaemia. Therefore, a possible limitation of our analysis was that the classification of individuals as being hyperinsulinaemic-based on their C-peptide level-was arbitrary. However, when we used quartiles or the median of C-peptide, instead of tertiles, as the cut-point of hyperinsulinaemia, a similar pattern of associations was observed.
CONCLUSIONS: These results support the idea that individuals with the metabolically healthy/overweight phenotype (with normal insulin levels) are at lower colorectal cancer risk than those with hyperinsulinaemia. The combination of anthropometric measures with metabolic parameters, such as C-peptide, may be useful for defining strata of the population at greater risk of colorectal cancer.