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Asian Pacific Journal of Cancer Prevention : APJCP logoLink to Asian Pacific Journal of Cancer Prevention : APJCP
. 2023;24(4):1225–1230. doi: 10.31557/APJCP.2023.24.4.1225

Early-Onset Colorectal Cancer Survival among Unscreened Population -Multicenter Cohort Retrospective Analysis

Rawiah Alsiary 1, Doaa Aboalola 1, Mona Alsolami 1, Turki Alsaiari 2, Majed Ramadan 1,*
PMCID: PMC10352749  PMID: 37116144

Abstract

Background:

In Saudi Arabia and across the world, the incidence of early-onset colorectal cancer (< 50 years) has increased. The diagnosis of EOCRC, on the other hand, is frequently delayed. It is critical to implement a national screening program to identify those group of patients who might benefit from early diagnosis.

Method:

A retrospective search was conducted using data from the Ministry of National Guard Health Affairs’ (MNG-HA) Cancer Registry. The population of 1440 CRC patients were eligible for the analyses. Patients’ demographics including age at diagnosis, gender, and marital status, were all reported. The demographic and clinical characteristics were assessed across early-onset and late-onset groups using Chi-square and Fisher exact test where appropriate.

Results:

CRC patients, early-onset CRC (18-50 years) was reported in 23.26%, mainly with advance disease. Late-onset (>50 years) CRC individuals have worse survival rate and higher probability of dying compared to early-onset CRC individuals. After age at diagnosis classification into three categories (18-40 years), (41-50 years), and (>50 years) the Kaplan-Meier Survival curve show that early-onset (18-40 years) CRC individuals had significantly better survival than (41-50 years), and (>50 years) CRC patients.

Conclusions:

Comparing our data to another screened population using US SEER datasets, we discovered a substantial difference in survival rates, with the SEER population having a considerably greater chance of survival. There is very little research on the significance of screening for Saudi CRC patients, and this is an issue that needs to be looked into more.

Limitations:

A study’s drawback is the lack of data for a variety of risk variables linked to colorectal cancer incidence, such as the KRAS mutation and environmental risk factors including BMI and smoking. More research with a nationally representative sample and comprehensive demographic and clinical data accessible is needed.

Key Words: Colorectal cancer, screening, early-onset, late-onset, survival

Introduction

Colorectal cancer (CRC) is considered as second leading cause of cancer mortality worldwide and the third most prevalent cancer. Poor nutrition, alcohol consumption, smoking, and visceral fat are some of the risk factors for CRC. Males are more likely than females to experience greater rates of CRC mortality and morbidity. CRC is the most frequent malignancy among men and the third most common malignancy in women in Saudi Arabia, accounting for 2,047 new cases and 1,090 deaths in 2014. On the other hand, Obesity and low rates of physical exercise are related with the worst CRC outcomes in Saudi women (Alyabsi et al., 2021). Colorectal cancer survivors’ quality of life was also harmed. Following cancer therapy, the most prevalent symptoms are fatigue, sleep loss, and urine frequency (Magaji et al., 2019).

The patient’s age, the presence of comorbidities, sex, mode of presentation, tumor grading, and the timing of symptom onset are all factors that influence survival (Hansen et al., 2012). Furthermore, the laterality of colon cancer may affect survival outcomes (Beart et al., 1983; Benson et al., 2017; Jaruhathai et al., 2022; Lim et al., 2017).

Colorectal cancer (CRC) identified before the age of 50 is known as early-onset colorectal cancer (EOCRC). It is becoming more common all around the world (Siegel et al., 2019). Consequently, CRC research has switched to look at the molecular signature, incidence, clinical performance, risk factors, and pathological features of early-onset colorectal cancer comparing to late-onset colorectal cancer (CRC diagnosed beyond the age of 50). Because of a lack of patient and physician knowledge, EOCRC is often misdiagnosed as more benign illnesses. General incidence rate of CRC has reduced recently as a result of breakthrough in screening and treatment. However, the prevalence of EOCRC has increased significantly worldwide including Saudi Arabia (Agazzi et al., 2021; Alyabsi et al., 2021; Siegel et al., 2019). This is possibly related to misconceptions about colon function, colon cancer prevalence, and when patients should be tested for colon cancer (Alsulaim et al., 2021).

According to the 2018 update, American Cancer Society’s Colorectal Cancer Screening for Adults at Average Risk, individuals aged 45 and older should begin screening with visual assessment and a high-sensitivity stool-based test, all positive non-colonoscopy results are followed by a colonoscopy (Rosato et al., 2013). The bowel cancer screening program (BCSP) of the National Health Service (NHS) in the United Kingdom and The Australian National Bowel Cancer Screening Program (NBCSP), have not modified their target range remains constant, proposing screening every two years for people aged between 50 and 74 (Archambault et al., 2021).

The objective of this research is to emphasize the alteration in survival rates CRC early-onset and CRC late-onset, as well as to compare survival rates by stage between screened CRC populations utilizing (SEER) and unscreened CRC populations (MNG-HA).

Materials and Methods

Study design, Setting, and Population

This current study adapted a retrospective cohort design utilizing the data for the Ministry of National Guard Health Affairs’ (MNG-HA) Cancer Registry in the major two cities in Saudi Arabia, Riyadh and Jeddah city from 1/1/2009 to 31/12/2017 with follow-up time started at the date of CRC diagnosis in the registry and ended on the date of death, date of last contact or when study ended on December 31, 2017. The registries, stored information regarding demographic, clinical characteristics such as type of cancers, stage, and grade at the first diagnosis. The registries stored the data for treated patients at King Abdulaziz Medical City (KAMC) in Riyadh and Jeddah city. In each visit, patients’ data were structured to store follow-up information, the date of last contact, and other information required to estimate patient survival. Inclusion criteria included patients aged ≥18 years diagnosed with colorectal cancer using International Classification of Diseases (ICD) (ICD-10 C18– C20) who treated at MNG-HA hospitals from January first, 2009, to December 31, 2017. Total patients who included in the study was 1,560. About 120 (7.6) patients were excluded from the study because of missing of required information such as unknown admission or contact dates. The total eligible patients for the analysis were 1440.

Patient and Tumor Characteristics

Demographic information such as age at diagnosis, gender, and marital status were retrieved from the cancer registries. Patient demographics including age at diagnosis, gender, and marital status, were all extracted from electronic health records. When classifying age at diagnosis groups, we accounted for the time of the study and the existing colorectal cancer screening guidelines (Burt et al., 2010). The recommended age for screening is 50, so we defined early-onset CRC as CRC diagnosed at age 50 or younger. The compared group (late-onset) included patients diagnosed with CRC at ages 51 years or older (Cheng et al., 2021). We further classify age at diagnosis into three groups (18-40, 41-50, and >50) (Chen et al., 2014; Lee et al., 2013; Young, 2006).

Statistical Analysis

We used Chi-square when we have sufficient observation in each cell and Fisher exact test when we have fewer than 5 observation per cell to examine the demographic and clinical characteristics across early-onset and late-onset groups. To build the multivariate model, we used purposeful variable backward selection technique to include only variables with P< 0.05. We used the Kaplan-Meier product limit method and the log-rank test to estimate the survival rates. Cox proportional hazards regression adjusted models were used to estimate the hazard ratio associated with early onset of CRC. To validate our finding, and to minimize potential confounder bias, we performed a sensitivity analysis with multiple and different age groups for each testing model. We used SAS statistical software version 9.4 (SAS Institute Inc. Cary, NC) to perform the analysis.

Results

The cohort included 1,440 individuals diagnosed with CRC, 826 (57.36%) males and 614 (42.64%) females, Table 1 represent patients’ demographical and clinical characteristics. Among EOCRC, the proportions of diagnosed CRC males and female were approximately similar (50.75% vs 49.25%), while among late-onset patients, the proportions of males were 20% higher than females. When comparing between individuals with EOCRC to those with late onset CRC, incidence in male were more likely to increase at late onset (50.75% vs 59.37%; P < .005). EOCRC individuals were more likely to go through chemotherapy and/or surgical treatment (60%, and 55.85%; P < 0.01) compared to late-onset (44.52%, and 48.55%; P <0.0001).

Table 1.

Demographic, Clinical and Pathological Characteristics of Collateral Cancer Patients at MNG-HA Hospitals a (N=1440)

Patients Characteristics Early-onset (18-50 years)
N (%) a
Late-onset (51 or older)
N (%)
P b
Total 335 (23.26) 1105 (76.74)
5-year overall survival 67.53% 59.65% 0.03
Died 78 (23.28) 313 (28.33) 0.01
Gender 0.005
Male 170 (50.75) 656 (59.37)
Female 165 (49.25) 449 (40.63)
Marital status
Married 239 (71.34) 865 (78.28) 0.008
Unmarried 96 (28.66) 240 (21.72)
Stage at diagnosis 0.17
Distance metastasis 133 (39.7) 398 (36.02)
Localized 39 (11.64) 182 (16.47)
Regional 146 (43.58) 468 (42.35)
Unknown 17 (5.07) 57 (5.16)
Pathological Grading 0.87
Well differentiated 15 (4.47) 49 (4.43)
Moderate differentiated 249 (74.32) 820 (74.2)
Poor differentiated 27 (8.05) 100 (11.05)
Others 44 (13.13) 136 (12.3)
Tumor Morphology (Histotype) 0.34
Adenocarcinoma (AC), NOS 273 (81.49) 954 (86.33)
Mucinous AC 30 (8.96) 73 (6.61)
Mucin-producing AC 3 (0.9) 8 (0.72)
Signet ring cell carcinoma 5 (1.49) 10 (0.90)
AC in villous/tubuvillous adenoma 7 (2.09) 13 (1.18)
Others g 17 (5.07) 47 (4.25)
Tumor location 0.21
Left side 238 (71.04) 770 (69.68)
Right side 57 (17.01) 228 (20.63)
Unknown 40 (11.94) 107 (9.68)
Chemotherapy <0.0001
Yes 201 (60.00) 492 (44.52)
No 134 (40.00) 613 (55.48)
Surgical treatment 0.01
Yes 188 (55.85) 536 (48.55)
No 148 (44.15) 568 (51.45)
Radiotherapy 0.26
Yes 26 (7.76) 67 (6.06)
No 309 (92.24) 1038 (93.94)

a,Sample size and percentage N(%); b, P value of the chi-square, and fisher exact test where appropriate

The overall median survival for early-onset CRC individuals was significantly higher than late onset CRC individuals (P = 0.03) (Table 1). The median survival on the Kaplan-Meier Survival curve was substantially lower among people with late-onset CRC (69 months) (95% CI, 67-73 months) in comparison to early-onset CRC individuals 113 months (95% CI, 77-115 months) (Figure 1). However, when the early onset cohort was further sup-grouped into (18-40 years) and (41-50 years), the Kaplan-Meier Survival curve show that early-onset (18-40 years) CRC individuals had significantly higher survival than early-onset (41-50 years), and late onset (>50 years) (P =0 .03) (Figure 2).

Figure 1.

Figure 1

Kaplan-Meier Mortality Estimates for Early-Onset (18-50) and Late-Onset (>50) Colorectal Cancer (CRC)

Figure 2.

Figure 2

Kaplan-Meier Mortality Estimates for Early-Onset (18-40), (4-50), and Late-Onset (>50) Colorectal Cancer (CRC)

Late-onset CRC individuals had higher probability of dying compared to early-onset CRC individuals (23.28% vs 28.33%; P < 0.01) during the follow-up period (Table 1). In the multivariate Cox regression both unadjusted and adjusted models, showed a statistically significant difference in survival between EOCRC vs late-onset CRC (HR, 0.82; 95% CI, 0.68-0.98; P 0.03), (HR, 0.78; 95% CI, 0.64-0.96; P 0.01) (Table 2). EOCRC patients was associated with lower mortality as compared to late-onset CRC individuals. Similarly, after age at diagnosis classification into three categories, both unadjusted and adjusted models showed that patients who aged between 18-40 years, relative to late-onset onset (>50years), showed statistically significant improved survival (HR, 0.81; 95% CI, 0.64-0.99; P 0.03), (HR, 0.77; 95% CI, 0.61-0.97; P 0.01).

Table 2.

Hazard Ration ComparingA Early-Onset versus Late-Onset

Age at diagnosis Model 1 a Model 2 b
HR (95% CI) d P e HR (95% CI) P
Early-onset vs late-onset
<50 years 0.82 (0.68, 0.98) 0.03 0.78 (0.64, 0.96) 0.01
>50 Reference Reference
Early-onset vs late-onset
<40 0.81 (0.64, 0.99) 0.04 0.77 (0.61, 0.97) 0.03
41-50 0.95 (0.77, 1.17) 0.66 0.99 (0.79, 1.24) 0.96
>50 Reference Reference

a, Unadjusted; b, Adjusted for demographics, clinical factors and treatment factors; d, Hazard ratio (HR), confidence interval (CI); e, P-value (P) Cox regression model

In terms of overall survival rate, the MNG-HA and SEER cohorts were compared. EOCRC patients had a better overall survival rate than late-onset CRC patients across all stages in both populations (Table 3). Among localized and regional stages, the survival rate was significantly varied between MNG-HA and SEER. Survival rate among SEER population was 30% to 40 % significantly higher than MNG-HA for localized stages (93.7 vs 58.97) and (92.4 vs 47.75), and 10% to15% higher among regional stages (78.5 vs 65.27), and (76.55 vs62.09) (Table 3).

Table 3.

Five-Year Colorectal Cancer Survival by Stages in MNG-HA compared to US SEER

All stages Localized Regional
Survival (%) 95% CI Survival (%) 95% CI Survival (%) 95% CI
Early-onset
US SEER 63.6 (62.8, 63.5) 93.7 (93.2, 94.1) 78.5 (77.9, 79.05)
MNG-HA 67.53 (77, 115) 58.97 (57, 78) 65.27 (67, 114.83)
Late-onset
US SEER 61.71 (64.5, 65.3) 92.4 (92.0, 92.8) 76.55 (86.7, 77.2)
MNG-HA 59.65 (67, 73) 47.75 (53, 63) 62.09 (67, 82)

Discussion

In this study, we observed that EOCRC patients’ overall median survival rate was markedly higher than late-onset CRC individuals. Prior research from the United States that supports our findings was recently published (Cheng et al., 2021). According to statistics, early-onset colon cancer accounts for 11% and 10% of all CRC cases in European and Western nations, respectively (Agazzi et al., 2021; Alyabsi et al., 2021). The findings of the current study demonstrated that early-onset cancer accounts for around 23% of all CRC cases. The alarming discovery in the current study revealed that nearly 23% of CRC patients in our community were young individuals identified at an advanced stage. Although, there are minimal Saudi studies investigating early-onset incidence, in alignment with our finding, a study conducted by Alyabsi et al., (2021) demonstrated that the early-onset CRC incidence in Saudi Arabia, increased (Alyabsi et al., 2021). Hence, an urgent monitoring system need to be implementing to lower the general incidence rates of CRC (Siegel et al., 2019).

Definitions of EOCRC is still heterogenous with some variation across countries in terms of screening protocols (Archambault et al., 2021; Rosato et al., 2013). A National Bowel Cancer Screening Program must be created in Saudi Arabia, with a focus on those aged 40 and over. This cutoff number was suggested based on our findings that CRC patients aged (41-50) and patients above 50 exhibit a similar pattern in the Kaplan-Meier Survival curve, with a considerably worse survival rate than patients aged less than 40. Cheng et al., (2021) prior findings are precisely in accord with the conclusions of this study. However, one of the most significant non-modifiable contributors of EOCRC development is age between 40 and 50 years, as contrast to 40 years (Rosato et al., 2013). We have definitely revealed that patients under the age of 40 have a greater chance of surviving. The necessity of screening is emphasized here because over 75% of our population is diagnosed late in life, with a worse survival rate. EOCRC patients’ may have distinct biological characteristics comparing to old CRC patients’ which possibly result in a different prognosis.

It is essential to comprehend the age-related variability of CRC in order to inform treatment strategies and comprehend the distinctive biological differentiation within early-onset CRC. Advances in screening, monitoring, and therapy have reduced overall CRC death rates in developed countries as represented by US SEER. Despite the fact that certain high-income nations, like as Saudi Arabia, have a robust and free healthcare system with all treatment regimens available to all patients, the survival rate in local and regional CRC is lower than in the United States. This is owing to the absence of a CRC screening program. The paper’s recommendation is to underline the need of screening for Saudi patients.

In conclusion, the current study revealed that nearly two times more young individuals CRC patients with advanced stage compared to the Western and the US countries. The absence of screening in Saudi Arabia added more burden to patients diagnosed with CRC. The finding of the current study is a call for health policy makers in the kingdom explaining the vivid need for CRC screening for individuals aged 40 years or older in Saudi Arabia. However, more studies in a national level population are need it to confirm these findings.

Author Contribution Statement

M.R: Conceptualization, Methodology, Software M.R, R.A Data curation, Writing- Original draft preparation. M.R, R.A, M.A, Visualization, Investigation. M.R, R.A Supervision.: M.R, D.A, T.A: Software, Validation.: M.R: Writing- Reviewing and Editing M.R, R.A, D.A, M.A, and T.A.

Acknowledgements

Funding statement

We gratefully acknowledge the financial support of King Abdullah International Medical Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS)

Ethics approval

Ethical approval was obtained from the Local Institutional Review Board of the Saudi National Guard Health Affairs, Jeddah (IRBC/1346/17). All patients’ identifying variables were omitted before the analysis.

Data availability

The data that support the findings of this study are available from King Abdullah International Medical Research Centre (KAIMRC) but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of King Abdullah International Medical Research Centre (KAIMRC)

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  1. Agazzi S, Lenti MV, Klersy C, et al. Incidence and risk factors for preneoplastic and neoplastic lesions of the colon and rectum in patients under 50 referred for colonoscopy. Eur J Intern Med. 2021;87:36–43. doi: 10.1016/j.ejim.2021.02.008. [DOI] [PubMed] [Google Scholar]
  2. Alsulaim L, AlOdhaybi G, AlSalamah M, et al. Awareness and Knowledge of Colorectal Cancer in Qassim Region, Saudi Arabia. Asian Pac J Cancer Care. 2021;6:397–405. [Google Scholar]
  3. Alyabsi M, Algarni M, Alshammari K. Trends in Colorectal Cancer Incidence Rates in Saudi Arabia (2001-2016) Using Saudi National Registry: Early- Versus Late-Onset Disease. Front Oncol. 2021;11:730689. doi: 10.3389/fonc.2021.730689. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Archambault AN, Lin Y, Jeon J, et al. Nongenetic Determinants of Risk for Early-Onset Colorectal Cancer. JNCI Cancer Spectr. 2021:5. doi: 10.1093/jncics/pkab029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Beart RW, Melton LJ, Maruta M, et al. Trends in right and left-sided colon cancer. Dis Colon Rectum. 1983;26:393–8. doi: 10.1007/BF02553382. [DOI] [PubMed] [Google Scholar]
  6. Benson AB, Venook AP, Cederquist L, et al. Colon Cancer, Version 1 201 NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw. 2017;15:370–98. doi: 10.6004/jnccn.2017.0036. [DOI] [PubMed] [Google Scholar]
  7. Burt RW, Barthel JS, Dunn KB, et al. NCCN clinical practice guidelines in oncology Colorectal cancer screening. J Natl Compr Canc Netw. 2010;8:8–61. doi: 10.6004/jnccn.2010.0003. [DOI] [PubMed] [Google Scholar]
  8. Chen VW, Hsieh MC, Charlton ME, et al. Analysis of stage and clinical/prognostic factors for colon and rectal cancer from SEER registries: AJCC and collaborative stage data collection system. Cancer. 2014;120:3793–806. doi: 10.1002/cncr.29056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Cheng E, Blackburn HN, Ng K, et al. Analysis of Survival Among Adults With Early-Onset Colorectal Cancer in the National Cancer Database. JAMA Netw Open. 2021;4:e2112539. doi: 10.1001/jamanetworkopen.2021.12539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Hansen IO, Jess P. Possible better long-term survival in left versus right-sided colon cancer - a systematic review. Dan Med J. 2012;59:A4444. [PubMed] [Google Scholar]
  11. Jaruhathai S, Santidamrongkul A, Wiwitkeyoonwong J, et al. The Impact of Colon Cancer Sites on Survival Rates after Curative Resection and Adjuvant Chemotherapy: A SingleCenter Study. Asian Pac J Cancer Care. 2022;7:615–20. [Google Scholar]
  12. Lee YC, Lee YL, Chuang JP, et al. Differences in survival between colon and rectal cancer from SEER data. PLoS One. 2013;8:e78709. doi: 10.1371/journal.pone.0078709. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Lim DR, Kuk JK, Kim T, et al. Comparison of oncological outcomes of right-sided colon cancer versus left-sided colon cancer after curative resection: Which side is better outcome? Medicine (Baltimore) 2017;96:e8241. doi: 10.1097/MD.0000000000008241. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Magaji B, Moy F-M, Law C, et al. Pattern of Health-Related Quality of Life and its Association among Patients with Colorectal Cancer. Asian Pac J Cancer Care. 2019;4:45–52. [Google Scholar]
  15. Rosato V, Bosetti C, Levi F, et al. Risk factors for young-onset colorectal cancer. Cancer Causes Control. 2013;24:335–41. doi: 10.1007/s10552-012-0119-3. [DOI] [PubMed] [Google Scholar]
  16. Siegel RL, Torre LA, Soerjomataram I, et al. Global patterns and trends in colorectal cancer incidence in young adults. Gut. 2019;68:2179–85. doi: 10.1136/gutjnl-2019-319511. [DOI] [PubMed] [Google Scholar]
  17. Young JL. SEER summary staging manual, 2000 : codes and coding instructions. Bethesda, MD.: Dept. of Health and Human Services, National Institutes of Health, National Cancer Institute; 2006. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data that support the findings of this study are available from King Abdullah International Medical Research Centre (KAIMRC) but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of King Abdullah International Medical Research Centre (KAIMRC)


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