High serum uric acid may associate with the increased risk of colorectal cancer in females: A prospective cohort study

Mi, Ningning; Huang, Junjun; Huang, Chongfei; Lin, Yanyan; He, Qiangsheng; Wang, Haiping; Yang, Man; Lu, Ya‐Wen; Lawer, Atteh Lawrence; Yue, Ping; Bai, Bing; Zhang, Jinduo; Zhang, Chao; Cai, Tao; Fu, Wenkang; Gao, Long; Li, Xun; Yuan, Jinqiu; Meng, Wenbo

doi:10.1002/ijc.33807

Cited by 15 publications

(17 citation statements)

References 42 publications

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“…Due to key role of fibrinogen in both the coagulation cascade and the inflammatory responses, we explored if the studied association could be influenced by other inflammatory or hemostasis biomarkers. Additionally, the potential confounding effect of a large panel of biomarkers found to be associated with CRC in previous studies (31,(39)(40)(41)(42) was also investigated.…”

Section: Discussionmentioning

confidence: 99%

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Fibrinogen levels in relation to colorectal cancer onset: A nested case-cohort study from the Moli-sani cohort

Parisi¹,

Panzera²,

Russo³

et al. 2022

Front. Cardiovasc. Med.

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BackgroundPatients with cancer are commonly characterized by abnormalities in laboratory coagulation tests, underlying a subclinical hypercoagulable condition. Due to the involvement of the hemostatic system in cancer patients, some of its biomarkers, such as fibrinogen, could be a useful tool in predicting cancer risk. We performed a case-cohort study to evaluate the relationship among fibrinogen levels and colorectal cancer (CRC).MethodsIn the framework of Moli-sani Study (N = 24,325, enrolled 2005–2010) a subcohort of 1,290 individuals (55.0% women; mean age 55.0 ± 12.0 years) was selected and compared with 126 CRC cases identified during a follow-up of 4.3 years. Incident cases of colorectal cancer were ascertained by direct linkage with hospital discharge forms according to the International Classification of Disease (ICD-9-CM) codes: 153–154. Events were validated through medical records and confirmed by histological reports. Fibrinogen levels were measured in frozen citrated plasma samples. Hazard Ratio (HR) and 95% confidence interval (CI), adjusted by relevant covariates were estimated by a Cox regression model using Prentice method.ResultsIndividuals with levels of fibrinogen ≥400 mg/dL had a higher hazard to develop colorectal cancer when compared to those with lower levels after adjustment for sex and age (HR: 1.81; 95% CI 1.12–2.92). Additional adjustment for CRC family history, income, physical activity, diabetes medication and hypercholesterolemia did not modify the result (HR: 1.91; 95% CI 1.15–3.17). Analyses stratified by age and sex showed a most evident association in elderly (HR: 2.30; 95% CI: 1.10–4.81) and in women (HR: 2.28; 95% CI: 1.08–4.81). Sensitivity analyses confirmed the main findings, showing independence from a potential role of confounding by a large panel of biomarkers, including inflammation and hemostasis factors.ConclusionOur results, based on a case-cohort study from a general adult population apparently free from any cancer during the recruitment, showed that fibrinogen levels ≥400 mg/dL were positively and independently associated with CRC, suggesting that this glycoprotein could be a potential biomarker for this type of cancer and supporting the “common soil hypothesis” in the pathophysiology of cardiovascular disease and tumors.

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Section: Discussionmentioning

confidence: 99%

“…Besides these hemostatic and inflammatory factors, we also explored the potential confounding effect of a large panel of biomarkers (uric acid, AST, ALT, glucose and HDL), reportedly involved in colorectal cancer risk ( 39 – 42 ). In our study, these markers only slightly modified the association between fibrinogen and CRC.…”

Section: Discussionmentioning

confidence: 99%

Fibrinogen levels in relation to colorectal cancer onset: A nested case-cohort study from the Moli-sani cohort

Parisi¹,

Panzera²,

Russo³

et al. 2022

Front. Cardiovasc. Med.

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“…1. Finally, eight observational studies (Hiatt and Fireman, 1988;Ko et al, 1994;Kolonel et al, 1994;Kuhn et al, 2017;Yang et al, 2017;Yiu et al, 2017;Li et al, 2022;Mi et al, 2022) were included in the meta-analysis.…”

Section: Results Of Database Searchmentioning

confidence: 99%

“…The characteristics of the included studies are summarized in Table 1. Overall, eight observational studies, including six prospective cohort studies (Hiatt and Fireman, 1988;Kolonel et al, 1994;Kuhn et al, 2017;Yiu et al, 2017;Li et al, 2022;Mi et al, 2022), one nested case-control study (Ko et al, 1994), and one post-hoc analysis of clinical trial (Yang et al, 2017) were included in the meta-analysis. Six of the studies included community population (Ko et al, 1994;Kolonel et al, 1994;Kuhn et al, 2017;Yiu et al, 2017;Li et al, 2022;Mi et al, 2022), and the other two studies included people of a large health maintenance organization (Hiatt and Fireman, 1988) and patients with hypertension (Yang et al, 2017), Flowchart of database search and study inclusion.…”

Section: Characteristics Of the Included Studiesmentioning

confidence: 99%

Serum uric acid and the risk of colorectal cancer: a meta-analysis

Liao,

Wang,

Zhang

2023

European Journal of Cancer Prevention

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Background A meta-analysis was performed in this study to evaluate the association between serum uric acid and the risk of colorectal cancer (CRC). Methods Relevant observational studies observing the relationship between uric acid and the incidence of CRC were obtained by the search of electronic databases, including Medline, Embase, Cochrane Library and Web of Science. A randomized-effects model was selected to pool the data by incorporating the influence of potential heterogeneity. Results Eight observational studies involving 1,226,379 adults were included. During a mean follow-up duration of 12.8 years, CRC was developed in 12349 (1.0%) participants. Pooled results showed that compared to those with the lowest category of serum uric acid at baseline, participants with the highest category of serum uric acid had an increased incidence of CRC during follow-up [risk ratio (RR), 1.28; 95% confidence interval (CI), 1.17–1.42; P < 0.001; I 2 = 0%]. Sensitivity analysis limited to prospective cohort studies retrieved similar results (RR, 1.32; 95% CI, 1.19–1.47; P < 0.001; I 2 = 0%). Subgroup analyses showed consistent results in men and women, in estimates of the incidence of colon cancer and rectal cancer and in studies with different follow-up durations and quality scores (P for subgroup differences all > 0.05). Conclusion Although the cutoff for defining a high uric acid varied among the included studies, results of the meta-analysis suggest that a high serum uric acid may be associated with an increased risk of CRC in an adult population.

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“…High UA levels may be positively associated with an increased risk of colorectal cancer in women. 38 Studies have also shown a negative correlation between UA and the risk of lung cancer in men. 39 In the results of this study, there was a negative correlation between UA and the risk of benign lung diseases in healthy people.…”

Section: Discussionmentioning

confidence: 99%

Artificial neural network–based diagnostic models for lung cancer combining conventional indicators with tumor markers

Luo

Yuan

Qin

et al. 2023

Exp Biol Med (Maywood)

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This study set out to establish a lung cancer diagnosis and prediction model uses conventional laboratory indicators combined with tumor markers, so as to help early screening and auxiliary diagnosis of lung cancer through a convenient, fast, and cheap way, and improve the early diagnosis rate of lung cancer. A total of 221 patients with lung cancer, 100 patients with benign pulmonary diseases, and 184 healthy subjects were retrospectively studied. General clinical data, the results of conventional laboratory indicators, and tumor markers were collected. Statistical Product and Service Solutions 26.0 was used for data analysis. The diagnosis and prediction model of lung cancer was established by artificial neural network – multilayer perceptron. After correlation and difference analysis, five comparison groups (lung cancer-benign lung disease group, lung cancer-health group, benign lung disease-health group, early-stage lung cancer-benign lung disease group, and early-stage lung cancer-health group) obtained 5, 28, 25, 16, and 25 valuable indicators for predicting lung cancer or benign lung disease, and then established five diagnostic prediction models, respectively. The area under the curve (AUC) of each combined diagnostic prediction model (0.848, 0.989, 0.949, 0.841, and 0.976) was higher than that of the diagnostic prediction model established only using tumor markers (0.799, 0.941, 0.830, 0.661, and 0.850), and the difference in the lung cancer-health group, the benign lung disease-health group, the early-stage lung cancer-benign lung disease group, and early-stage lung cancer-health group was statistically significant ( P < 0.05). The artificial neural network–based diagnostic models for lung cancer combining conventional indicators with tumor markers have high performance and clinical significance in assisting the diagnosis of early lung cancer.

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High serum uric acid may associate with the increased risk of colorectal cancer in females: A prospective cohort study

Cited by 15 publications

References 42 publications

Fibrinogen levels in relation to colorectal cancer onset: A nested case-cohort study from the Moli-sani cohort

Fibrinogen levels in relation to colorectal cancer onset: A nested case-cohort study from the Moli-sani cohort

Serum uric acid and the risk of colorectal cancer: a meta-analysis

Artificial neural network–based diagnostic models for lung cancer combining conventional indicators with tumor markers

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