Incidence, Clinico-demographic Profiles and Survival Rates of Colorectal Cancer in Northern Malaysia: Comparing Patients Above and Below 50 Years of Age

Ibrahim, Nik Razima Wan; Chan, Huan‐Keat; Soelar, Shahrul Aiman; Azmi, Ahmad Najib; Said, Rosaida Mohd; Hassan, Muhammad Radzi Abu

doi:10.31557/apjcp.2020.21.4.1057

Cited by 18 publications

(26 citation statements)

References 20 publications

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“…Table 1 summarizes the basic information on these studies. Data for nine studies 16,20,36,37,39–42,45 were obtained from national/state databases or tumor registries ( n = 443,997), and data for four 35,38,43,44 were obtained from tertiary care centers ( n = 4784). The included studies were published from 2012 to 2022; two studies 40,45 only included colon cancer cases, and rectal cancer cases were only included in one study 16 .…”

Section: Resultsmentioning

confidence: 99%

Comparison of the short‐ and long‐term prognosis of early‐onset colorectal cancer compared with later‐onset colorectal cancer: A systematic review and meta‐analysis

Jin

et al. 2023

Health Science Reports

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Background and Aims: The annual incidence of early-onset colorectal cancer (EOCRC) is increasing at an alarming rate. The prognosis of EOCRC remains controversial, and whether the early onset is a risk factor for colorectal cancer remains unclear.Methods: We searched four electronic bibliographic databases from database inception to April 25, 2022 for studies that included both early-and later-onset patients and performed a prognostic analysis. Random-effects models were used to summarize the prognostic information extracted by the investigators, including overall survival (OS), cancer-special survival (CSS), and disease-free survival (DFS).Network meta-analysis (NMA) was used to compare patients' long-term prognoses in different age subgroups.Results: After 694 reports were screened, 13 studies were included in the final analysis, with a total of 448,781 CRC cases. In the meta-analysis of the 5-year OS, EOCRC had a better prognosis compared to LOCRC (hazard ratio [HR] 0.87, 95% confidence interval [CI], 0.74-0.99; relative risk [RR] 0.83, 95% CI, 0.78-0.89). No difference in prognosis was found between the two groups in terms of 5-year CSS (RR 0.99, 95% CI, 0.93-1.05), 5-year DFS (RR 0.90, 95% CI, 0.74-1.09), and shortterm OS. In the NMA, patients aged <30 years had the worst outcome (surface under the cumulative ranking curve [SUCRA], 15.8%) in 5-year OS; consistent results were observed in the analysis of 5-year CSS (<30 years, SUCRA 4.5%), but the difference was not statistically significant. Conclusion:Although patients with early-onset CRC had better OS than those with later-onset CRC, there was no difference in the CSS. Meanwhile, the trend for survival was worse in younger patients, especially in those ages 18-29 years. Thus, more attention should be paid to early diagnosis and treatment of EOCRC.

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Section: Resultsmentioning

confidence: 99%

Comparison of the short‐ and long‐term prognosis of early‐onset colorectal cancer compared with later‐onset colorectal cancer: A systematic review and meta‐analysis

Jin

et al. 2023

Health Science Reports

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“…Models that were reported only once in the reviewed literature included: time-series analysis ( 144 ), interrupted time-series analysis ( 83 ), bayesian analysis of spatio-temporal conditional autoregressive models ( 142 ), and the LOESS method ( 66 ). Six studies reported the APC without explaining the used model to derive this estimate ( 31 , 35 , 39 , 121 , 145 , 159 ).…”

Section: Resultsmentioning

confidence: 99%

Statistical methods for measuring trends in colorectal cancer incidence in registries: A systematic review

et al. 2022

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BackgroundMonitoring cancer trends in a population is essential for tracking the disease’s burden, allocating resources, and informing public health policies. This review describes variations in commonly employed methods to estimate colorectal cancer (CRC) incidence trends.MethodsWe performed a systematic literature search in four databases to identify population-based studies reporting CRC incidence trends, published between January 2010 and May 2020. We extracted and described data on methods to estimate trends and assess model validity, and the software used.ResultsThis review included 145 articles based on studies conducted in five continents. The majority (93%) presented visual summaries of trends combined with absolute, relative, or annual change estimates. Fourteen (10%) articles exclusively calculated the relative change in incidence over a given time interval, presented as the percentage of change in rates. Joinpoint regression analysis was the most commonly used method for assessing incidence trends (n= 65, 45%), providing estimates of the annual percentage change (APC) in rates. Nineteen (13%) studies performed Poisson regression and 18 (12%) linear regression analysis. Age-period-cohort modeling- a type of generalized linear models- was conducted in 18 (12%) studies. Thirty-nine (37%) of the studies modeling incidence trends (n=104, 72%) indicated the method used to evaluate model fitness. The joinpoint program (52%) was the statistical software most commonly used.ConclusionThis review identified variation in the calculation of CRC incidence trends and inadequate reporting of model fit statistics. Our findings highlight the need for increasing clarity and transparency in reporting methods to facilitate interpretation, reproduction, and comparison with findings from previous studies.

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“…Study of Leong et al (18) showed that the 5-year survival rate of older patients (≥70) was the worst compared with other ages. However, in some studies, there was no significant difference in mortality among different age groups of CRC patients (19). The reasons may be that: (I) with the improvement of medical level, the survival rate of elderly patients with CRC has improved; (II) the cancer of young patients is more aggressive and less responsive to treatment; and (III) ethnicity is an important predictor for survival of CRC patients (18).…”

Section: Discussionmentioning

confidence: 99%

A prognostic predictive model constituted with gene mutations of APC, BRCA2, CDH1, SMO, and TSC2 in colorectal cancer

Zheng

Yang

et al. 2021

Ann Transl Med

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Background: Colorectal cancer (CRC) is a malignant tumor that seriously threatens human health. A CRC predictive model can be used as an effective method to provide an appropriate treatment for CRC patients.Methods: A total of 34 CRC patients were enrolled in this study. After performing 1000-gene panel targeted next-generation sequencing (NGS), high-frequency mutation genes were screened, and their functional terms and pathways were enriched. In The Cancer Genome Atlas (TCGA) CRC cases, the risk factors for overall survival (OS) were screened by univariate and multivariate analysis, and a predictive model was constructed and verified. Subsequently, the relationship among mutation status, gene expression, methylation level, and OS was analyzed to explore the molecular mechanism of CRC progression.Results: A total of 26 high-frequency mutation genes were screened, which were mainly enriched in breast cancer and proteoglycans in cancer pathways. The clinical parameters of age, stage, recurrence and metastasis, the mutation status of APC, BRCA2, CDH1, SMO, and TSC2 were identified as risk factors for the construction of the predictive model. The areas under the receiver operating characteristic curve were 0.734, 0.754, 0.774, and 0.74 for 1-, 3-, 5-and 7-year survival in the model group, respectively.Conclusions: We identified several mutated genes and clinical parameters affecting OS and established a model to better predict the OS of CRC patients.

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Incidence, Clinico-demographic Profiles and Survival Rates of Colorectal Cancer in Northern Malaysia: Comparing Patients Above and Below 50 Years of Age

Cited by 18 publications

References 20 publications

Comparison of the short‐ and long‐term prognosis of early‐onset colorectal cancer compared with later‐onset colorectal cancer: A systematic review and meta‐analysis

Comparison of the short‐ and long‐term prognosis of early‐onset colorectal cancer compared with later‐onset colorectal cancer: A systematic review and meta‐analysis

Statistical methods for measuring trends in colorectal cancer incidence in registries: A systematic review

A prognostic predictive model constituted with gene mutations of APC, BRCA2, CDH1, SMO, and TSC2 in colorectal cancer

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