Hong Kong Academy of Medicine. CC BY-NC-ND 4.0
COMMENTARIES
Screening methods for colorectal cancer in
Chinese populations
W Wu, PhD Candidate1; J Huang, MD, MSc2; S Tan, MS1; Martin CS Wong, MD, MPH2 W Xu, MD, PhD1
1 Global Health Institute, School of Public Health, Fudan University, Shanghai, China
2 Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
Corresponding author: Prof W Xu (wanghong.xu@fudan.edu.cn)
Large-scale screening for colorectal cancer (CRC)
has been found to lower incidence and mortality
of the malignancy,1 and provided as a public health
service in many countries or areas.2 The much higher
incidence but lower mortality of CRC in the United
States and the United Kingdom than in China has
been attributed to the full coverage and higher
compliance of screening in target populations.3
In this commentary, we provide an overview of
the screening tests used in China, summarise the
achievements and challenges, and propose potential
solutions.
Screening tests for colorectal
cancer in China
It was not until 2006 that the Chinese government
implemented population-based CRC screening in
high-risk areas. The national guideline of China
recommended parallel use of risk assessment (RA)
and two-sample qualitative faecal immunochemical
test (FIT) as preliminary tests.4 The recommended
RA is a risk stratification system derived from
epidemiological studies conducted in China between
the 1970s and the 1990s. When using the system, all
participants were asked to answer whether they had
the following events: (1) history of any cancer; (2)
colorectal polyps; (3) CRC in first-degree relatives;
(4) chronic constipation; (5) chronic diarrhoea; (6)
mucus or bloody stool; (7) serious unhappy lifeevents;
(8) chronic appendicitis or appendectomy;
and (9) chronic cholecystitis or cholecystectomy.
Events (1) to (3) were considered to be major and
(4) to (9) to be minor, and participants with at least
one major event or at least two minor events were
regarded as high risk.5 In a rural population in
China, the RA was found complementary to FIT
in identifying bleeding and non-bleeding lesions,
achieving high adherence to initial tests and
subsequent colonoscopy.6 Particularly, the parallel
use of RA and FIT showed a specificity of 81.37%
in detecting CRC, was proved cost-effective,7 and
thus widely used for triage screening in Chinese
populations.
Triage screening is being carried out as a major
public health service in Shanghai,8 Guangzhou,9 and Hangzhou.10 The CanSPUC programme initiated
in 2012 in urban China used a revised Harvard
Risk Index as an initial test and recruited 1 381 561
participants from 2012 to 2015.11 In Taiwan, one-sample
quantitative FIT was used to identify
high-risk individuals, leading to a 62% decrease in
deaths from CRC.12 In Hong Kong, a pilot screening
programme was launched in 2016 using FIT as a
preliminary test, resulting in 60% screen-detected
CRC at early stage.13 Triage screening reduced the
number of unnecessary colonoscopies by 25%,14 and
lowered the disease burden of CRC in Chinese6 8 11
and other populations.15 It has been considered quite
suitable for China, a country with a huge population,
low CRC incidence and insufficient resources.
Challenges for colorectal cancer
screening in China
Currently, CRC screening is mainly provided in urban
China as a public health service. However, in these
programmes, low adherence to colonoscopy among
high-risk individuals was consistently observed.
In Hangzhou, only 55.3% of high-risk individuals
identified by parallel use of RA and FIT attended
subsequent colonoscopy.5 The similar parallel tests
resulted in colonoscopy adherence as low as 39.8%
in high-risk individuals living in Shanghai,8 and only
24.9% among those living in Pudong New Area of
the city.16 In the CanSPUC programme, only 14.0%
of high-risk individuals identified by the RA tool
attended colonoscopy.11
Risk assessment tools have contributed to
flattening upward trends of CRC incidence and
mortality in China over the past decade. However,
risk factors for RA may have changed and should be
updated due to social development and nutritional
transitions. For example, rapid urbanisation and
industrialisation have led to a sedentary lifestyle
and high intake of animal-source foods, and thus an
epidemic of obesity, which should be included in RA
tools.
Regarding qualitative FIT, a predominantly
used method in China, the cut-off values for positive
tests are pre-set by manufacturers, which may not be
the optimal one for target populations. In addition, two-sample qualitative FIT was recommended in
China to improve sensitivity but was observed to
lower specificity and colonoscopy adherence. The
low specificity of the test,16 which further decreased
by parallel use with RA, has been consistently
observed in large-scale screening practices in China.
This may have led to distrust of positive results and
thus low colonoscopy adherence.5 7 16
Potential solutions to the
challenges
Our previous studies suggest the potential and
feasibility of improving colonoscopy adherence
by optimising initial screening tests.16 17 Several
approaches can be followed to achieve the goal.
First, optimising RA system to improve the
specificity of initial tests. The currently used RA
system in China did not include age, sex, smoking,
drinking, body mass index, diet, physical activity,
diagnosis of diabetes, use of non-steroidal anti-inflammatory
drugs or aspirin,5 8 11 the important
risk factors of CRC contained in other scoring
systems.18 In the updated national guideline for CRC
screening, these factors have been recommended as
RA components for Chinese adults.18 It is also urgent
to identify population- and period-specific risk
factors for RA to suit the altered aetiologic spectrum
of CRC. Once an optimal quantified RA tool is
established, it can be used by general practitioners
to identify high-risk individuals for colonoscopy or
by individuals for self-assessment of CRC risk and
thereby adopting healthy lifestyles.
Second, incorporating qualitative FIT results
as a predictor in risk scoring systems. In a study in
Shanghai, a scoring system incorporating FIT result
as a predictor showed better performance than
parallel use of FIT and RA, as a result of its higher
specificity, less demand for colonoscopy, and a
higher detection rate of CRC, albeit a compromised
sensitivity.19 Those findings suggest great potential
for using FIT and RA jointly in CRC screening.
Moreover, a one-sample qualitative FIT can
be used instead of a two-sample test to simplify the
screening procedure, and thus improve participation
rate and reduce colonoscopy demand.20 Adopting
quantitative FIT may be a better choice to improve the
specificity of preliminary tests, because quantitative
FIT is superior to qualitative FIT in accuracy and
flexibility in choosing cut-off values. However,
the much higher financial cost of quantitative FIT
greatly restricts its large-scale application in China.
Finally, novel screening tests, such as
colon capsule endoscopy, magnetic resonance
colonography, or tests for biomarkers in faeces or
blood, may further improve colonoscopy adherence
or even replace colonoscopy. However, the
performance of these novel tests in mass screening of CRC needs further evaluation; meanwhile,
the expensive costs of the tests also limit their
widespread usage.18
Conclusion
In summary, triage screening strategy, if optimised,
remains the best choice for mass screening of CRC
in both urban and rural China. A great potential
is suggestive to triage high-risk individuals more
accurately for colonoscopy by optimising currently
used tests and incorporating FIT results in risk
scoring systems. Further studies are warranted to
develop population-specific scoring systems and
provide effective screening methods for diverse
populations in China.
Author contributions
Concept or design: W Xu, MCS Wong.
Acquisition of data: W Wu, J Huang, S Tan.
Analysis or interpretation of data: All authors.
Drafting of the manuscript: W Wu.
Critical revision for important intellectual content: All authors.
Acquisition of data: W Wu, J Huang, S Tan.
Analysis or interpretation of data: All authors.
Drafting of the manuscript: W Wu.
Critical revision for important intellectual content: All authors.
All authors had full access to the data, contributed to the
study, approved the final version for publication, and take
responsibility for its accuracy and integrity.
Conflicts of interest
As editors of the journal, J Huang and MCS Wong were not involved in the peer review process. As adviser of the journal,
W Xu was not involved in the peer review process. Other
authors have disclosed no conflicts of interest.
Funding/support
This study was supported by the Health Commission of the Pudong New Area of Shanghai (No. PW2019A-5). The
funder had no role in study design, data collection/analysis/
interpretation or manuscript preparation.
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