Spatial clustering of colorectal cancer in Malaysia

Submitted: 28 September 2022
Accepted: 14 February 2023
Published: 25 May 2023
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Introduction: The rise in colorectal cancer (CRC) incidence becomes a global concern. As geographical variations in the CRC incidence suggests the role of area-level determinants, the current study was designed to identify the spatial distribution pattern of CRC at the neighbourhood level in Malaysia.

Method: Newly diagnosed CRC cases between 2010 and 2016 in Malaysia were identified from the National Cancer Registry. Residential addresses were geocoded. Clustering analysis was subsequently performed to examine the spatial dependence between CRC cases. Differences in socio-demographic characteristics of individuals between the clusters were also compared. Identified clusters were categorized into urban and semi-rural areas based on the population background.

Result: Most of the 18 405 individuals included in the study were male (56%), aged between 60 and 69 years (30.3%) and only presented for care at stages 3 or 4 of the disease (71.3%). The states shown to have CRC clusters were Kedah, Penang, Perak, Selangor, Kuala Lumpur, Melaka, Johor, Kelantan, and Sarawak. The spatial autocorrelation detected a significant clustering pattern (Moran’s Index 0.244, p< 0.01, Z score >2.58). CRC clusters in Penang, Selangor, Kuala Lumpur, Melaka, Johor, and Sarawak were in urbanized areas, while those in Kedah, Perak and Kelantan were in semi-rural areas.

Conclusion: The presence of several clusters in urbanized and semi-rural areas implied the role of ecological determinants at the neighbourhood level in Malaysia.  Such findings could be used to guide the policymakers in resource allocation and cancer control.

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Citations

Andrilla CHA, Moore TE, Man Wong K, Evans DV, 2020. Investigating the impact of geographic location on colorectal cancer stage at diagnosis: a national study of the SEER cancer registry. J Rural Health 36:316–25. DOI: https://doi.org/10.1111/jrh.12392
Azizah AM, Hashimah B, Nirmal K, Siti Zubaidah AR, Puteri NA, Nabihah A, Sukumaran R, 2019. Malaysia national cancer registry report 2012-2016.
Brouwer JGM, Makama M, Van Woudenbergh GJ, Vasen HFA, Nagengast FM, Kleibeuker JH, Kampman E, 2017. Inflammatory potential of the diet and colorectal tumor risk in persons with Lynch syndrome. Am J Clin Nutr 106:1287–94. DOI: https://doi.org/10.3945/ajcn.117.152900
Bujang NNA, Lee YJ, Mohd Zain SAS, Aris JH, Md Yusoff FA, Suli Z, Abu Hassan MR, 2021. Factors associated with colorectal cancer screening via immunochemical fecal occult blood test in an average-risk population from a multiethnic, middle-income setting. JCO Glob Oncol 7:333–41. DOI: https://doi.org/10.1200/GO.20.00460
Chandran A, Mustapha FI, Tamin NSI, Hassan MRA, 2020. Overview of colorectal cancer screening programme in Malaysia. Med J Malaysia 75:235–39.
Chazelas E, Srour B, Desmetz E, Kesse-Guyot E, Julia C, Deschamps V, Druesne-Pecollo N, 2019. Sugary drink consumption and risk of cancer: Results from Nutrinet-Santé prospective cohort. BMJ 366:l2408. DOI: https://doi.org/10.1136/bmj.l2408
Department of Statistics Malaysia (DOSM). 2019. Available online at: https://www.dosm.gov.my/v1/index.php?r=home/community
Department of Survey and Mapping Malaysia. 2017. Available online at: https://www.jupem.gov.my/ms/peta-laman
ESRI ArcGis Desktop - ArcMap. http://desktop.arcgis.com/en/arcmap/ Accessed 04 Feb 2023.
Getis A, Ord JK. 1992. The analysis of spatial association by use of distance statistics. Geog Anal 24:189-206 DOI: https://doi.org/10.1111/j.1538-4632.1992.tb00261.x
Gibson DC, Prochaska JD, Yu X, Kaul S, 2020. An examination between census tract unhealthy food availability and colorectal cancer incidence. Cancer Epidemiol 67:101761. DOI: https://doi.org/10.1016/j.canep.2020.101761
Gimeno-García AZ, Quintero E, Nicolás-Pérez D, Jiménez-Sosa A, 2011. Public awareness of colorectal cancer and screening in a Spanish population. Public Health 125:609-15. DOI: https://doi.org/10.1016/j.puhe.2011.03.014
Goshayeshi L, Pourahmadi A, Ghayour-Mobarhan M, Hashtarkhani S, Karimian S, Dastjerdi RS, Eghbali B, 2019. Colorectal cancer risk factors in north-eastern Iran: A retrospective cross-sectional study based on geographical information systems, spatial autocorrelation and regression analysis. Geospat Health 14:219–28. DOI: https://doi.org/10.4081/gh.2019.793
Gram IT, Park SY, Wilkens LR, Haiman CA, Le Marchand L, 2020. Smoking-related risks of colorectal cancer by anatomical subsite and sex. Am J Epidemiol 189:543–53. DOI: https://doi.org/10.1093/aje/kwaa005
Halimi L, Bagheri N, Hoseini B, Hashtarkhani S, 2020. Spatial analysis of colorectal cancer incidence in Hamadan Province, Iran: a retrospective cross-sectional study. Appl Spat Anal Policy 13:293-303. DOI: https://doi.org/10.1007/s12061-019-09303-9
Hasakova K, Vician M, Reis R, Zeman M, Herichova I, 2018. Sex-dependent correlation between survival and expression of genes related to the circadian oscillator in patients with colorectal cancer. Chronobiol Int 3: 1423–34. DOI: https://doi.org/10.1080/07420528.2018.1488722
Kelsall JE, Diggle PJ, 1995. Non-parametric estimation of spatial variation in relative risk. Stat Med 14:2335-42. DOI: https://doi.org/10.1002/sim.4780142106
Li H, Boakye D, Chen X, Hoffmeister M, Brenner H, 2021. Association of body mass index with risk of early-onset colorectal cancer: systematic review and meta-analysis. Am J Gastroenterol 116:2173–83. DOI: https://doi.org/10.14309/ajg.0000000000001393
Low EE, Demb J, Liu L, Earles A, Bustamante R, Williams CD, Provenzale D, Kaltenbach T, Gawron AJ, Martinez ME, Gupta S, 2020. Risk Factors for Early-Onset Colorectal Cancer. Gastroenterology 159:492-501. DOI: https://doi.org/10.1053/j.gastro.2020.01.004
National Cancer Institute. 2018. Malaysian study on cancer survival (MySCan). National Cancer Institute, Ministry of Health Malaysia, Vol. 4.
Pang Y, Kartsonaki C, Guo Y, Chen Y, Yang L, Bian Z, Bragg F, 2020. Socioeconomic status in relation to risks of major gastrointestinal cancers in chinese adults: A prospective study of 0.5 million people. Cancer Epidemiol Biomarkers Prev 29:823–31. DOI: https://doi.org/10.1158/1055-9965.EPI-19-0585
Pesola F, Eloranta S, Martling A, Saraste D, Smedby KE, 2020. Family history of colorectal cancer and survival : A Swedish population-based study. J Intern Med 287: 723–33. DOI: https://doi.org/10.1111/joim.13036
Peterson NJ. 1996. Evaluation of the Hosmer-Lemeshow global goodness-of-fit statistics for mixed variable logistic regression models. The University of Texas School of Public Health
PLAN Malaysia Department of Town and Country Planning. 2023. Available online at: https://www.planmalaysia.gov.my/
Rabeneck L, Chiu H and Senore C. 2020. International perspective on the burden of colorectal cancer and public health effects. Gastroenterology 158:447-52. DOI: https://doi.org/10.1053/j.gastro.2019.10.007
Ruktanonchai CW, Pindolia DK, Striley CW, Odedina FT, Cottler LB. 2014. Utilizing spatial statistics to identify cancer hot spots: a surveillance strategy to inform community-engaged outreach efforts. Int J Health Geogr 13:39. DOI: https://doi.org/10.1186/1476-072X-13-39
Samat N, Knight A, Shattar A, Sulaiman Y, Manan AA, Weng CN, 2013. investigating geographic distribution of colorectal cancer cases: an example from Penang State, Malaysia. Asian Social Science 9:38–46. DOI: https://doi.org/10.5539/ass.v9n17p38
Shah SA, Neoh HM, Rahim SSSA, Azhar ZI, Hassan MR, Safian N, Jamal R, 2014. Spatial analysis of colorectal cancer cases in Kuala Lumpur. Asian Pac J Cancer Prev 15:1149–54. DOI: https://doi.org/10.7314/APJCP.2014.15.3.1149
Shaukat A, Kahi CJ, Burke CA, Rabeneck L, Sauer BG, Rex DK, 2021. ACG clinical guidelines: colorectal cancer screening 2021. Am J Gastroenterol 116:458–79. DOI: https://doi.org/10.14309/ajg.0000000000001122
Soffian SSS, Nawi AM, Hod R, Chan HK, Hassan MRA, 2021. Area-level determinants in colorectal cancer spatial clustering studies: a systematic review. Int J Environ Res Public Health 18:1–26. DOI: https://doi.org/10.3390/ijerph181910486
Sung JJ, Chiu HM, Jung KW, Jun JK, Sekiguchi M, Matsuda T, Kyaw MH, 2019. Increasing trend in young-onset colorectal cancer in Asia: More cancers in men and more rectal cancers. Am J Gastroenterol 114:322–29. DOI: https://doi.org/10.14309/ajg.0000000000000133
Tian Y, Li J, Zhou T, Tong D, Chi S, Kong X, Ding K, Li J. 2018. Spatially varying effects of predictors for the survival prediction of nonmetastatic colorectal cancer. BMC Cancer 18:1–14. DOI: https://doi.org/10.1186/s12885-018-4985-2
Um K, Park CS, Yoo C, Ahn YS, Kim M, Jeong KS, 2020. Risk factors including night shift work of colorectal polyp. Ann Occup Environ Med 32:e26. DOI: https://doi.org/10.35371/aoem.2020.32.e26
Wray AJD, Minaker LM, 2019. Is cancer prevention influenced by the built environment? A multidisciplinary scoping review. Cancer 125:3299-311. DOI: https://doi.org/10.1002/cncr.32376
Weiser MR. 2018. AJCC 8th Edition: Colorectal Cancer. Ann Surg Oncol 25:1454-55. DOI: https://doi.org/10.1245/s10434-018-6462-1
Xu P, Richter J, Blatz A, Gärtner F, Alberts R, Azoitei A, Makori WA, 2020. Downregulation of ORP3 correlates with reduced survival of colon cancer patients with advanced nodal metastasis and of female patients with grade 3 colon cancer. Int J Mol Sci 21:5894. DOI: https://doi.org/10.3390/ijms21165894
Zhang Y, Chen Y, Huang J, Wu X, Tang R, Huang Q, Xu Y, Peng X, Fu K and Xiao S. 2022. Mucinous histology is associated with poor prognosis in locally advanced colorectal adenocarcinoma treated with postoperative first-line adjuvant chemotherapy: a systematic review and meta-analysis. Eur J surg Oncol 48:2075-81. DOI: https://doi.org/10.1016/j.ejso.2022.06.024

How to Cite

Syed Soffian, S. S., Mohammed Nawi, A., Hod, R., Abdul Maulud, K. N. ., Mohd Azmi, A. T., Hasim Hashim, M. H. ., Chan, H.-K., & Abu Hassan, M. R. (2023). Spatial clustering of colorectal cancer in Malaysia. Geospatial Health, 18(1). https://doi.org/10.4081/gh.2023.1158