Literature DB >> 31752704

Elevated serum triglyceride and low-density lipoprotein cholesterol promotes the formation of colorectal polyps.

Chenxi Xie1, Pingwu Wen2, Jingling Su1, Qin Li3, Yandan Ren1, Yueyu Liu1, Renze Shen4,5, Jianlin Ren4.   

Abstract

BACKGROUND: Hyperlipidaemia may be a potential risk factor for the occurrence of intestinal polyps. This study aimed to evaluate correlation between lipidaemia and the formation of colorectal polyps.
METHODS: One hundred and fourteen patients with colorectal polyps and forty-eight healthy controls were included in this study. Colonoscopies were performed for all patients and controls within 1 week before blood samples were taken. The concentrations of serum lipids and lipoproteins were measured simultaneously using an automatic biochemical analyser. The colorectal lesions were classified based on pathological characteristics, and four types were identified in the study: hyperplastic polyp (HP), tubular adenoma (TA), tubulovillous adenoma (TVA) and adenoma with high-grade dysplasia (A-HGD). Advanced adenoma was classified according to the number, size and histological type of polyps.
RESULTS: The value of low-density lipoprotein cholesterol (LDL-C) was significantly higher in the group with advanced adenoma than in the controls (p < 0.05). Moreover, the LDL-C values in the HP and TA groups were higher when compared to that of controls (p < 0.05). Obesity, age, and increased TG and LDL-C were independent risk factors for the formation of colorectal polyps. The cut-off values of triglyceride (TG) and LDL-C to distinguish polyp patients from healthy controls were 0.96 mmol/L (AUC = 0.604, p = 0.036) and 3.05 mmol/L (AUC = 0.654, p = 0.002). The combined use of increased LDL-C and TG levels to distinguish polyp patients was effective, with a sensitivity of 50.0% and a specificity of 89.6% (AUC = 0.733, p < 0.01).
CONCLUSIONS: Colorectal polyps are more often found in obese and older patients. Increased LDL-C and TG were correlated with the occurrence of polyps. Combination of the two serum indicators was useful to assess risk of colorectal lesions, maybe more effective in screening hyperplastic polyp, tubular adenoma and advanced adenoma.

Entities:  

Keywords:  advanced adenoma; colorectal polyp; low-density lipoprotein cholesterol; triglyceride

Mesh:

Substances:

Year:  2019        PMID: 31752704      PMCID: PMC6873463          DOI: 10.1186/s12876-019-1115-9

Source DB:  PubMed          Journal:  BMC Gastroenterol        ISSN: 1471-230X            Impact factor:   3.067


Background

Colorectal cancer (CRC) is the fourth cause of cancer death in the world [1], and CRC develops through the adenoma-carcinoma sequence. The risk of CRC increases in patients with large and multiple polyps, as well as in patients with villous, tubulovillous or high-grade dysplasia adenomas [1-3]. Although faecal immunochemical testing (FIT) screening can help reduce the mortality of CRC by more than 50%, there is no advantage in finding low-risk adenomas (LRAs) [4]. Colonoscopy has the ability to detect early-stage cancers and remove adenomas, but excessive surveillance can overwhelm social resources [5]. Nonetheless, knowledge of factors associated with polyp formation can help identify potential patients who need endoscopic screening. Previous studies have shown that alterations in the gut microbiota can activate inflammatory signalling and increase the incidence of colorectal adenoma and metabolic syndrome (MetS) [6, 7]. Obesity and hyperinsulinaemia are the key elements of MetS. Other pathophysiological markers are dyslipidaemia and hypertension. Some studies have suggested that high body mass index (BMI) and hyperglycaemia may be independent risk factors for colorectal neoplasia [8-10]. However, these factors do not fully explain the variability in polyp risk, and the role of serum lipids is still not clear. High levels of triglyceride and cholesterol, as well as low levels of high-density lipoprotein cholesterol (HDL-C), are potential markers for advanced adenoma, but this is controversial [10-13]. Low-density lipoprotein cholesterol (LDL-C) and apolipoprotein B (apoB) transport lipids to peripheral tissues, causing a cascade of chronic inflammation [14]. Higher levels of LDL-C and apoB may be associated with colorectal lesions, but this was not supported by the EPIC study [13, 15]. Thus, further study is needed to determine the role of dyslipidaemia in polyp occurrence. Accordingly, the aims of the current study were as follows: to compare differences in serum levels of lipids and lipoproteins between patients and controls to assess whether serum lipids and lipoproteins correlate with the incidence of advanced adenoma; and to evaluate whether serum lipids and lipoproteins are associated with the formation of colorectal polyps.

Methods

Subjects

This was a prospective study. Consecutive outpatients who underwent colonoscopy from July 2015 to June 2017 were enrolled. One hundred and fourteen patients with colorectal polyps were included. Patients were excluded if they had the following conditions: taking lipid-lowering drugs; gastrointestinal tumours; previous abdominal surgery; and severe renal, cardiac or pulmonary disease. At the same time, another forty-eight volunteers with normal mucosa via colonoscopy and without digestive symptoms, cancer, severe systemic disorders or a history of gastrointestinal surgery were recruited as the control group. The study protocol and the recruitment of the patients and controls were approved by the Ethics Committee of Zhongshan Hospital Affiliated to Xiamen University. Written informed consent was obtained from all individuals before starting any study procedure.

Colonoscopy procedure

Colonoscopies were performed for all patients and controls within 1 week before blood samples were taken. All patients were required to consume a liquid diet for 24 h before the examination, and polyethylene glycol was used to complete the standard bowel preparation. The colonoscopy procedure was performed in our hospital by the same physician (Chenxi Xie). All lesions were removed by endoscopic resection, and biopsies were inspected under a microscope by experienced pathologists. Polyps were classified according to pathological characteristics. Four types of lesions were identified in the study: if the polyp is composed of proliferating regular glands under the microscope, it is classified as a hyperplastic polyp (HP); if the polyp is composed of an irregular small tubular structure, it is classified as a tubular adenoma (TA); if the polyp is composed of a more papillary structure with proliferative vascular connective tissue, it is classified as a tubulovillous adenoma (TVA); if the polyp includes malignant cells, but without evidence of interstitial infiltration, it is classified as a high-grade dysplasia (A-HGD). If the patient had more than one histological type of lesion, the grouping was based on the neoplasia with the highest risk. Advanced adenoma (AA) was defined as the coexistence of more than two lesions or the presence of any colorectal polyps with a diameter of more than 10 mm or with high-risk pathology (tubulovillous or high-grade dysplasia changes) [1, 16].

Assessment of metabolic syndrome markers

Blood lipids and lipoproteins including cholesterol (CHO), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), apolipoprotein A1 (apoA1) and apolipoprotein B (apoB) were assessed in our study. Samples were taken under fasting conditions, and concentrations were measured simultaneously using a Hitachi Automatic Biochemical Analyzer 7000 with reagents and calibrators from Roche Diagnostics. All assays were performed according to the manufacturer’s protocols by an investigator blinded to the case-control status. The status of smoking and alcohol intake were obtained based on participant self-reporting. Patients were considered to have a history of diabetes or hypertension if they recently used medicines to control related symptoms.

Statistical analysis

Data were expressed as either the mean ± SD or median (interquartile range). One-way ANOVA was used to compare differences if the values for a metric followed a normal distribution; otherwise, the rank-sum test was used. Logistic regression analysis was employed to investigate the association of serum lipids and lipoproteins with the occurrence of colorectal polyps. A p value of less than 0.05 was considered statistically significant. The statistical analysis was accomplished using SPSS 20.0 (SPSS Inc., Chicago, IL, USA).

Results

Demographic characteristics of the patients

A total of one hundred and fifty-nine patients were screened by colonoscopy during physical examination. Twenty-seven patients with systemic disorders or a history of previous abdominal surgery and eighteen patients with digestive cancer were excluded. Forty-eight healthy controls with normal mucosa via colonoscopy were included in the analysis (Table 1).
Table 1

Baseline characteristics between controls and patients

Without AA(39)With AA(75)Control(48)p value
Age (years)46.69 ± 10.4051.81 ± 11.29*44.81 ± 11.170.002
Male (%)56.41%76.39%*50%0.008
BMI23.39*(22.43,25.26)23.18*(20.96,25.15)22.11 (19.14,23.17)0.001

p < 0.05 means that the distribution of values in each group is not equal

An asterisk means that the difference is significant when compared to the controls separately

AA advanced adenoma

Age is expressed as the mean ± SD. BMI is expressed as the median (interquartile range)

Baseline characteristics between controls and patients p < 0.05 means that the distribution of values in each group is not equal An asterisk means that the difference is significant when compared to the controls separately AA advanced adenoma Age is expressed as the mean ± SD. BMI is expressed as the median (interquartile range)

Comparison of serum levels of lipids and lipoproteins between patients with colorectal polyps and controls

Patients with polyps were older and had a higher BMI, with a higher proportion of males (p < 0.05). TG, LDL-C and apoB values were lower in the control group than in the patients (p < 0.05) (Table 2).
Table 2

Comparison of metrics between patients with polyps and controls

patients(114)Control(48)p value
Age (years)50.06 ± 11.2144.81 ± 11.170.007
Male (n)79240.020
BMI (kg/m2)

23.38

(21.28,25.23)

22.11

(19.14,23.17)

0.000
With diabetes (n)211.00
With hypertension (n)1310.105
Smoking (n)2470.339
Drinking (n)1830.099
CHO (mmol/L)

4.65

(4.10,5.24)

4.63

(4.16,5.31)

0.701
TG (mmol/L)

1.31

(0.99,1.83)

0.97

(0.75,1.74)

0.036
HDL-C (mmol/L)

1.25

(1.06,1.51)

1.37

(1.10,1.47)

0.244
LDL-C (mmol/L)3.23 ± 0.822.81 ± 0.740.003
apoA (g/L)1.37 ± 0.271.27 ± 0.330.063
apoB (g/L)

0.95

(0.82,1.10)

0.84

(0.77,0.96)

0.040

BMI, CHO, TG, HDL-C, and apoB are expressed as medians (interquartile range). Age, LDL-C and apoA are expressed as means ± SD

Comparison of metrics between patients with polyps and controls 23.38 (21.28,25.23) 22.11 (19.14,23.17) 4.65 (4.10,5.24) 4.63 (4.16,5.31) 1.31 (0.99,1.83) 0.97 (0.75,1.74) 1.25 (1.06,1.51) 1.37 (1.10,1.47) 0.95 (0.82,1.10) 0.84 (0.77,0.96) BMI, CHO, TG, HDL-C, and apoB are expressed as medians (interquartile range). Age, LDL-C and apoA are expressed as means ± SD

Comparison of serum levels of lipids and lipoproteins between patients with or without advanced adenoma and controls

Values of CHO, HDL-C, apoA1 and apoB were similar between the patients and controls (p > 0.05). It seemed that TG was increased in the patient groups, but the differences were not significant when compared to that of controls(p > 0.05). The LDL-C value in the group with advanced adenoma was higher than that in the control group (p < 0.05), but the difference were not significant between patients with and without advanced adenoma (p > 0.05) (Table 3).
Table 3

Comparison of serum levels of lipids and lipoproteins between patients with or without advanced adenoma and controls

Without AA(39)With AA(75)Control(48)p value
CHO (mmol/L)

4.62

(3.85,5.12)

4.64

(4.15,5.37)

4.63

(4.16,5.31)

0.530
TG (mmol/L)

1.51

(1.04,1.92)

1.25

(0.96,1.70)

0.97

(0.75,1.74)

0.058
HDL-C (mmol/L)

1.18

(1.04,1.40)

1.26

(1.09,1.51)

1.37

(1.10,1.47)

0.287
LDL-C (mmol/L)3.14 ± 0.833.28 ± 0.82*2.81 ± 0.740.007
apoA (g/L)1.39 ± 0.281.37 ± 0.261.27 ± 0.330.116
apoB (g/L)

0.92

(0.75,1.10)

0.95

(0.82,1.09)

0.84

(0.77,0.96)

0.112

p < 0.05 means that the distribution of values in each group is not equal

An asterisk means that the difference is significant when compared to the controls separately

AA advanced adenoma

CHO, TG, HDL-C, and apoB are expressed as medians (interquartile range). LDL-C and apoA are expressed as means ± SD

Comparison of serum levels of lipids and lipoproteins between patients with or without advanced adenoma and controls 4.62 (3.85,5.12) 4.64 (4.15,5.37) 4.63 (4.16,5.31) 1.51 (1.04,1.92) 1.25 (0.96,1.70) 0.97 (0.75,1.74) 1.18 (1.04,1.40) 1.26 (1.09,1.51) 1.37 (1.10,1.47) 0.92 (0.75,1.10) 0.95 (0.82,1.09) 0.84 (0.77,0.96) p < 0.05 means that the distribution of values in each group is not equal An asterisk means that the difference is significant when compared to the controls separately AA advanced adenoma CHO, TG, HDL-C, and apoB are expressed as medians (interquartile range). LDL-C and apoA are expressed as means ± SD

Comparison of serum levels of lipids and lipoproteins between patients with different pathological types of lesions and controls

Differences in the values of CHO, TG, HDL-C, apoA1 and apoB between the patients and controls were not significant (p > 0.05). There was an increased trend of LDL-C values in all patient groups (p = 0.029), but the differences were not significant in the four polyp groups (p > 0.05). When compared to the controls separately, only the TA and HP groups with significant higher LDL-C values (p < 0.05) (Table 4).
Table 4

Comparison of serum levels of lipids and lipoproteins between patients with different colon lesions and controls

TA(72)HP(14)TVA(17)A-HGD(11)Control(48)p value
CHO (mmol/L)

4.64

(4.15,5.18)

4.85

(4.07,5.65)

4.12

(3.68,4.72)

4.77

(4.36,5.55)

4.63

(4.16,5.31)

0.349
TG (mmol/L)

1.41

(1.01,1.95)

1.10

(0.95,1.60)

1.31

(1.07,2.10)

1.16

(0.74,1.37)

0.97

(0.75,1.74)

0.081
HDL-C (mmol/L)

1.26

(1.06,1.52)

1.22

(1.07,1.38)

1.18

(0.84,1.49)

1.42

(1.04,1.90)

1.37

(1.10,1.47)

0.361
LDL-C (mmol/L)3.26 ± 0.80*3.32 ± 0.77*3.00 ± 0.823.30 ± 1.092.81 ± 0.740.029
apoA (g/L)1.39 ± 0.261.36 ± 0.231.28 ± 0.291.42 ± 0.341.27 ± 0.330.173
apoB (g/L)

0.97

(0.82,1.13)

0.97

(0.81,1.10)

0.88

(0.73,0.96)

1.00

(0.67,1.20)

0.84

(0.77,0.96)

0.149

p < 0.05 means that the distribution of values in each group is not equal

An asterisk means that the difference is significant when compared to the controls separately

HP hyperplastic polyp, TA tubular adenoma, TVA tubulovillous adenoma, A-HGD adenoma with high-grade dysplasia

CHO, TG, HDL-C, and apoB are expressed as medians (interquartile range). LDL-C and apoA are expressed as means ± SD

Comparison of serum levels of lipids and lipoproteins between patients with different colon lesions and controls 4.64 (4.15,5.18) 4.85 (4.07,5.65) 4.12 (3.68,4.72) 4.77 (4.36,5.55) 4.63 (4.16,5.31) 1.41 (1.01,1.95) 1.10 (0.95,1.60) 1.31 (1.07,2.10) 1.16 (0.74,1.37) 0.97 (0.75,1.74) 1.26 (1.06,1.52) 1.22 (1.07,1.38) 1.18 (0.84,1.49) 1.42 (1.04,1.90) 1.37 (1.10,1.47) 0.97 (0.82,1.13) 0.97 (0.81,1.10) 0.88 (0.73,0.96) 1.00 (0.67,1.20) 0.84 (0.77,0.96) p < 0.05 means that the distribution of values in each group is not equal An asterisk means that the difference is significant when compared to the controls separately HP hyperplastic polyp, TA tubular adenoma, TVA tubulovillous adenoma, A-HGD adenoma with high-grade dysplasia CHO, TG, HDL-C, and apoB are expressed as medians (interquartile range). LDL-C and apoA are expressed as means ± SD

Association of serum levels of lipids and lipoproteins with the occurrence of colorectal polyps

The cut-off value of TG for distinguishing the patients from controls was 0.96 mmol/L (AUC = 0.604, p = 0.036). The sensitivity was 79.8%, and the specificity was 50.0%. The cut-off value of LDL-C for distinguishing the patients from controls was 3.05 mmol/L (AUC = 0.654, p = 0.002). The sensitivity was 56.1%, and the specificity was 75%. The cut-off value of apoB for distinguishing the patients from controls was 0.98 mmol/L (AUC = 0.602, p = 0.040). The sensitivity was 44.7%, and the specificity was 79.2%. Logistic regression analysis was applied to identify potential risk factors for colorectal lesions. The three cut-off values above were used to divide all the participants into two groups separately. BMI > 25 kg/m2 was used as the demarcation of obesity, and the participants were divided into four groups according to age (≤40 years; 41–50 years; 51–60 years; > 60 years). The results showed that obesity, age, and increased TG and LDL-C were independent risk factors for the occurrence of colorectal polyps (for obesity, OR = 3.55, 95%CI 1.12–11.24; for age categories, OR = 1.58, 95%CI 1.09–2.30; for TG > 0.96 mmol/L OR = 2.64, 95%CI 1.20–5.84, and LDL-C > 3.05 mmol/L, OR = 2.89, 95% CI 1.29–6.39. all p < 0.05). In addition, the combined use of increased LDL-C and TG to distinguish patients with polyps was effective, with a sensitivity of 50.0% and a specificity of 89.6% (AUC = 0.733, p < 0.01).

Discussion

Transformation of adenoma to CRC is a long process. Endoscopic resection of precancerous lesions is beneficial for reducing the incidence of CRC, but determining suitable patients is still difficult. Moreover, the correlation between lipidaemia and colorectal neoplasia is controversial [10, 17]. In this study, we evaluated potential factors correlated with the formation of colorectal polyps and found that higher serum levels of LDL-C and TG favoured neoplasia. During inflammation, changes occur in lipids, not only in quantity but also in quality. Chronic inflammation impairs the normal transport of cholesterol and stimulates compensatory changes, such as the synthesis of LDL-C and VLDL-C (very low-density lipoprotein cholesterol), resulting in the accumulation of TG in intestinal cells [14], which causes harmful reactions. Dyslipidaemia can induce the production of inflammatory cytokines, such as interleukin-6 and tumour necrosis factor-α, and reduce the anti- inflammatory cytokines, such as Interleukin-10 [14, 18]. These changes create a cellular environment conducive to neoplasia. So it was not surprising that the serum levels of LDL-C and TG were higher in patients with polyps. Previous studies have shown a positive association between oxidative stress and LDL-C [19, 20], and LDL-C may be a cause of increased intracellular oxidative stress, whereby reactive oxygen species (ROS) induce lipid peroxidation and activate transcription factors [21]. This may facilitate cell proliferation and evasion from apoptosis. Therefore, increasing LDL-C can be observed in early stages of colorectal carcinogenesis, such as hyperplastic polyp and tubular adenoma. The intermediates produced by ROS attacking lipids can couple to DNA and induce genotoxic lesions, which promote carcinogenesis through the modulation of gene expression and mutation [22]. LDL-C is beneficial to oxidative damage, so it was reasonable to find the value increasing in patients with advanced adenoma. It seemed that TG was increased in patients with advanced adenoma, but the difference was not significant when compared to that of controls. In fact, previous researches on the correlation between TG and colorectal lesions are not consistent [15, 23, 24]. In the Metabolic Syndrome and Cancer Project, TG was related to the increased risk of neoplasia [23]. But Chung YW et al. found that there was a negative association between TG levels and the risk of cancer [24], which may be due to malnutrition and metabolic changes in patients with advanced lesions. In the EPIC study, the results may have been affected by the postprandial variability of TG because the samples were taken without fasting [15]. Because TG is susceptible to various factors, it should be combined with other indicators in monitoring polyp occurrence. Liu CS et al. reported that dyslipidaemia is an independent risk factor for colorectal adenoma [25], consistent with our results. In our study, the sensitivity of TG was high, but the specificity was poor; the reverse was observed for LDL-C. Nonetheless, the AUC was larger when the two indicators were combined used to distinguish polyp patients compared to either alone. This combination with very high specificity may provide useful information for surveillance and may help exclude patients for whom there is no urgency for colonoscopy screening. In this situation, FIT may be the preferred method of examination. Other potential risk factors associated with the formation of polyps were also analysed. Increased body weight is now recognized as a factor correlated to the development of CRC, and it plays an important role at the pre-cancer stage [8, 26]. This was consistent with our results. Chronic hyperinsulinaemia associated with obesity increases the bio-active levels of IGF-1 (insulin-like growth factor 1), which can promote tumour growth [27]. The incidence of colorectal adenoma increases with age according to the European and Asia-Pacific guidelines [28, 29], and this was supported by the positive correlation between higher age and the formation of polyps in our study. However, differences in adenoma prevalence between the sexes are still controversial. Although a few studies have suggested that males are at a higher risk of developing colorectal adenoma [29-31], we did not find a significant association between male sex and polyp occurrence. Although it appeared that there were more people with unhealthy lifestyles in the colorectal lesion group, the differences were not significant. Alcohol consumption may not be an independent risk factor for adenoma occurrence [32]. Many prediction models for colorectal neoplasia include smoking as a risk factor, but their discriminatory power is weak [32]. Smoking may promote polyp proliferation, but likely only if the habit has lasted decades [28]. In fact, a better risk prediction model to inform adenoma screening strategies remains to be determined [32]. Our study has some limitations. First, age and body weight between the patients and controls were not comparable, which may have impacted the reliability of our conclusion. Therefore, we used logistic regression analysis to exclude the influence of confounding factors and found that hyperlipidaemia was correlated with adenoma formation. Second, this was a single-centre study, and the sample size was relatively small. We described the observed results but lacked follow-up data for patients after polypectomy. Comparison of the recurrence rates between patients with or without hyperlipidaemia would be useful in supporting increased LDL-C and TG levels as potential markers for colorectal adenoma screening.

Conclusions

In summary, our study suggests that the incidence of colorectal polyps increases with obesity and age. Increased LDL-C and TG correlated with polyp occurrence. LDL-C was less sensitive than TG in distinguishing patients from healthy controls but showed higher specificity. Hyperlipidaemia was a risk factor of colorectal lesions, especially for hyperplastic polyp, tubular adenoma and advanced adenoma.
  31 in total

Review 1.  Post-Polypectomy Surveillance That Would Please Goldilocks--Not Too Much, Not Too Little, but Just Right.

Authors:  Uri Ladabaum; Robert E Schoen
Journal:  Gastroenterology       Date:  2016-02-02       Impact factor: 22.682

Review 2.  The metabolic syndrome: A high-risk state for cancer?

Authors:  Stephanie Cowey; Robert W Hardy
Journal:  Am J Pathol       Date:  2006-11       Impact factor: 4.307

3.  The association of serum lipids with colorectal adenomas.

Authors:  Moon Hee Yang; Sanjay Rampal; Jidong Sung; Yoon-Ho Choi; Hee Jung Son; Jun Haeng Lee; Young Ho Kim; Dong Kyung Chang; Poong-Lyul Rhee; Jae J Kim; Jong Chul Rhee; Ho-Kyung Chun; Eliseo Guallar; Juhee Cho
Journal:  Am J Gastroenterol       Date:  2013-04-02       Impact factor: 10.864

Review 4.  Colorectal cancer association with metabolic syndrome and its components: a systematic review with meta-analysis.

Authors:  Katherine Esposito; Paolo Chiodini; Annalisa Capuano; Giuseppe Bellastella; Maria Ida Maiorino; Concetta Rafaniello; Demosthenes B Panagiotakos; Dario Giugliano
Journal:  Endocrine       Date:  2013-04-02       Impact factor: 3.633

5.  Metabolic syndrome and altered gut microbiota in mice lacking Toll-like receptor 5.

Authors:  Matam Vijay-Kumar; Jesse D Aitken; Frederic A Carvalho; Tyler C Cullender; Simon Mwangi; Shanthi Srinivasan; Shanthi V Sitaraman; Rob Knight; Ruth E Ley; Andrew T Gewirtz
Journal:  Science       Date:  2010-03-04       Impact factor: 47.728

Review 6.  Dyslipidemia and inflammation: an evolutionary conserved mechanism.

Authors:  Eduardo Esteve; Wifredo Ricart; José Manuel Fernández-Real
Journal:  Clin Nutr       Date:  2005-02       Impact factor: 7.324

7.  Blood lipid and lipoprotein concentrations and colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition.

Authors:  Fränzel J B van Duijnhoven; H Bas Bueno-De-Mesquita; Miriam Calligaro; Mazda Jenab; Tobias Pischon; Eugène H J M Jansen; Jiri Frohlich; Amir Ayyobi; Kim Overvad; Anne Pernille Toft-Petersen; Anne Tjønneland; Louise Hansen; Marie-Christine Boutron-Ruault; Françoise Clavel-Chapelon; Vanessa Cottet; Domenico Palli; Giovanna Tagliabue; Salvatore Panico; Rosario Tumino; Paolo Vineis; Rudolf Kaaks; Birgit Teucher; Heiner Boeing; Dagmar Drogan; Antonia Trichopoulou; Pagona Lagiou; Vardis Dilis; Petra H M Peeters; Peter D Siersema; Laudina Rodríguez; Carlos A González; Esther Molina-Montes; Miren Dorronsoro; Maria-Jose Tormo; Aurelio Barricarte; Richard Palmqvist; Göran Hallmans; Kay-Tee Khaw; Kostas K Tsilidis; Francesca L Crowe; Veronique Chajes; Veronika Fedirko; Sabina Rinaldi; Teresa Norat; Elio Riboli
Journal:  Gut       Date:  2011-03-07       Impact factor: 23.059

8.  A pooled analysis of advanced colorectal neoplasia diagnoses after colonoscopic polypectomy.

Authors:  María Elena Martínez; John A Baron; David A Lieberman; Arthur Schatzkin; Elaine Lanza; Sidney J Winawer; Ann G Zauber; Ruiyun Jiang; Dennis J Ahnen; John H Bond; Timothy R Church; Douglas J Robertson; Stephanie A Smith-Warner; Elizabeth T Jacobs; David S Alberts; E Robert Greenberg
Journal:  Gastroenterology       Date:  2008-12-09       Impact factor: 22.682

Review 9.  Metabolic syndrome: a novel high-risk state for colorectal cancer.

Authors:  Kousuke Ishino; Michihiro Mutoh; Yukari Totsuka; Hitoshi Nakagama
Journal:  Cancer Lett       Date:  2012-10-17       Impact factor: 8.679

10.  Screening for Colorectal Cancer With Fecal Immunochemical Testing With and Without Postpolypectomy Surveillance Colonoscopy: A Cost-Effectiveness Analysis.

Authors:  Marjolein J E Greuter; Clasine M de Klerk; Gerrit A Meijer; Evelien Dekker; Veerle M H Coupé
Journal:  Ann Intern Med       Date:  2017-10-03       Impact factor: 25.391

View more
  9 in total

1.  The predictive value of routine laboratory tests for colorectal polyps: a retrospective study.

Authors:  Xinyi Feng; Xiuping Jiao; Yemin Xu; Xi Xu; Yan Zhu; Qiang She; Yaoyao Li; Guiqing Li; Jian Wu; Weiming Xiao; Yanbing Ding; Bin Deng
Journal:  J Gastrointest Oncol       Date:  2022-02

2.  Factors Associated with Colorectal Polyps in Middle-Aged and Elderly Populations.

Authors:  Song-Seng Loke; Seng-Kee Chuah
Journal:  Int J Environ Res Public Health       Date:  2022-06-20       Impact factor: 4.614

3.  Association of Meat Subtypes With Colorectal Polyp Prevalence: Finding From the Lanxi Pre-colorectal Cancer Cohort in China.

Authors:  Xiaoyin Chai; Yin Li; Zihan Yin; Fei Wu; Peiling Hu; Xiaohui Liu; Shuhan Tong; Pan Zhuang; Yu Zhang; Weifang Zheng; Jingjing Jiao
Journal:  Front Nutr       Date:  2022-03-18

4.  Serum Untargeted UHPLC-HRMS-Based Lipidomics to Discover the Potential Biomarker of Colorectal Advanced Adenoma.

Authors:  Yifan Zhu; Lisheng Wang; Yanying Nong; Yunxiao Liang; Zongsheng Huang; Pingchuan Zhu; Qisong Zhang
Journal:  Cancer Manag Res       Date:  2021-11-26       Impact factor: 3.989

5.  Comparison of some biochemical markers between early-onset and late-onset colorectal precancerous lesions: A single-center retrospective study.

Authors:  Chao-Tao Tang; Jun Li; Zhenzhen Yang; Chunyan Zeng; Youxiang Chen
Journal:  J Clin Lab Anal       Date:  2022-08-16       Impact factor: 3.124

6.  High levels of triglycerides, apolipoprotein B, and the number of colorectal polyps are risk factors for colorectal polyp recurrence after endoscopic resection: a retrospective study.

Authors:  Jia-Yu Du; Gui-Ying Huang; Yong-Chun Xie; Nan-Xi Li; Zhi-Wei Lin; Li Zhang
Journal:  J Gastrointest Oncol       Date:  2022-08

7.  Establish a Novel Model for Predicting the Risk of Colorectal Ademomatous Polyps: a Prospective Cohort Study.

Authors:  Wenjie Li; Zhe Chen; Han Chen; Xu Han; Guoxin Zhang; Xiaoying Zhou
Journal:  J Cancer       Date:  2022-08-15       Impact factor: 4.478

8.  Elevated serum triglyceride predicts recurrence of colorectal polyps in patients with advanced adenomas.

Authors:  Boying Liu; Pingwu Wen; Xiaodong Gu; Ruiqiang Weng; Sudong Liu
Journal:  Lipids Health Dis       Date:  2020-09-23       Impact factor: 3.876

Review 9.  Exercise-A Panacea of Metabolic Dysregulation in Cancer: Physiological and Molecular Insights.

Authors:  Steffen H Raun; Kristian Buch-Larsen; Peter Schwarz; Lykke Sylow
Journal:  Int J Mol Sci       Date:  2021-03-27       Impact factor: 5.923

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.