Linear age‐course effects on the associations between body mass index, triglycerides, and female breast and male liver cancer risk: An internal replication study of 800,000 individuals

Insights on the association of anthropometric and metabolic variables with tumor features and genomic risk in luminal early breast cancer: Results of a multicentric prospective study

BACKGROUND

Hormone receptor-positive (HR+)/HER2-negative (HER2-) early-stage breast cancers (EBC) are treated with adjuvant endocrine therapy (ET), with chemotherapy (CT) reserved for high-risk cases. Obesity is linked to increased recurrence risk. The Oncotype DX® assay predicts prognosis and CT benefit. The PRO BONO study evaluated Oncotype DX test's impact on treatment decisions and explored associations between genomic risk, tumor features, and patient metabolic profiles.

MATERIALS AND METHODS

Patients with HR+ /HER2-EBC undergoing Oncotype DX testing were enrolled. Body mass index (BMI), tumor characteristics (ER, PR, Ki67, grading, size, nodal status), a large panel of metabolic analytes, and Oncotype DX Recurrence Score® (RS) results were collected. Treatment recommendations (ET vs CT-ET) were recorded pre- and post-Oncotype DX, and concordance was determined using Cohen's Kappa. Associations were tested using Chi-Square test and Spearman Correlation.

RESULTS

Of the 248 EBC patients (2019-2021), Oncotype DX testing reduced CT use by 47.7 %. Higher RS positively correlated with serum triglycerides and inversely with GIP (all p < 0.05). No significant association was found between patient BMI and RS result. Conversely, tumor size positively correlated with BMI (p = 0.0286) and with serum levels of leptin (p = 0.0079), PAI-1 (p = 0.0083), C-peptide (p = 0.0124), GIP (p = 0.0036), GLP-1 (p = 0.0476), glucagon (p = 0.0224), and insulin (p = 0.0327). A BMI≥ 30 and higher GLP-1 levels (>148.85pg/ml) were independently associated with increased odds of having larger tumor size (>2 cm).

CONCLUSIONS

Recurrence Score result significantly impacts treatment decisions in HR+ /HER2-EBC. RS result was not associated with BMI, although unfavorable metabolic profiles and obesity-related markers correlated with larger tumors. These findings highlight the need to further investigate the link between metabolic profiles and breast cancer biology.

Identification of pre-diagnostic lipid sets associated with liver cancer risk using untargeted lipidomics and chemical set analysis: A nested case-control study within the ATBC cohort

In pre-disposed individuals, a reprogramming of the hepatic lipid metabolism may support liver cancer initiation. We conducted a high-resolution mass spectrometry based untargeted lipidomics analysis of pre-diagnostic serum samples from a nested case-control study (219 liver cancer cases and 219 controls) within the Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) Study. Out of 462 annotated lipids, 158 (34.2%) were associated with liver cancer risk in a conditional logistic regression analysis at a false discovery rate (FDR) <0.05. A chemical set enrichment analysis (ChemRICH) and co-regulatory set analysis suggested that 22/28 lipid classes and 47/83 correlation modules were significantly associated with liver cancer risk (FDR <0.05). Strong positive associations were observed for monounsaturated fatty acids (MUFA), triacylglycerols (TAGs) and phosphatidylcholines (PCs) having MUFA acyl chains. Negative associations were observed for sphingolipids (ceramides and sphingomyelins), lysophosphatidylcholines, cholesterol esters and polyunsaturated fatty acids (PUFA) containing TAGs and PCs. Stearoyl-CoA desaturase enzyme 1 (SCD1), a rate limiting enzyme in fatty acid metabolism and ceramidases seems to be critical in this reprogramming. In conclusion, our study reports pre-diagnostic lipid changes that provide novel insights into hepatic lipid metabolism reprogramming may contribute to a pro-cell growth and anti-apoptotic tissue environment and, in turn, support liver cancer initiation.

[Metabolic syndrome and gastrointestinal cancer screening]

Cancer has become a leading cause of death among patients with metabolic syndrome (MetS). The more components of MetS a patient has, the higher his cancer risk is. MetS is causally associated with colorectal, pancreatic, gallbladder, biliary, hepatocellular, gastric and esophageal adenocarcinomas. MetS increases cancer mortality up to 2.4-fold. Intentional long-term weight loss reduces the excess cancer risk of obese MetS-patients. Preventing and treating the MetS together with GI cancer screening is effective and decreases the burden of GI cancer mortality significantly.

Lipids, cholesterols, statins and liver cancer: a Mendelian randomization study

Aim

To investigate the causal relationship of serum lipid indicators and lipid-lowering drugs with the risk of liver cancer using Mendelian randomization study.

Methods

A two-sample Mendelian randomization (TSMR) study was performed to investigate the causal relationship between serum levels of lipid indicators and liver cancer, including low-density lipoprotein cholesterol (LDL-c), high-density lipoprotein cholesterol (HDL-c), triglycerides (TG), total cholesterol (TC), Apolipoprotein B (ApoB), and Apolipoprotein A1 (ApoA1).Furthermore, instrumental variable weighted regression (IVW) and summary data-based MR (SMR) analyses were performed to investigate the causal effects of lipid-lowering drugs, including statins and PCSK9 inhibitors, on the risk of liver cancer.

Results

Serum LDL-c and serum TC levels showed negatively associated with liver cancer (n = 22 SNPs, OR = 0.363, 95% CI = 0.231 - 0.570; p = 1.070E-5) (n = 83 SNPs; OR = 0.627, 95% CI = 0.413-0.952; p = 0.028). However, serum levels of TG, HDL-c, and ApoA1 did not show any significant correlation with liver cancer. In the drug target MR (DMR) analyses, HMGCR-mediated level of LDL-c showed an inverse relationship with the risk of liver cancer in the IVW-MR analysis (n = 5 SNPs, OR = 0.201, 95% CI = 0.064 - 0.631; p = 5.95E-03) and SMR analysis (n = 20 SNPs, OR = 0.245, 95% CI = 0.065 - 0.926; p = 0.038) However, PCSK9 did not show any significant association with liver cancer based on both the IVW-MR and SMR analyses.

Conclusion

Our results demonstrated that reduced levels of LDL-c and TC were associated with an increased risk of liver cancer. Furthermore, lipid-lowering drugs targeting HMGCR such as statins were associated with increased risk of liver cancer.

Risk prediction of hepatobiliary and pancreatic cancers in elderly Chinese: The Dongfeng-Tongji cohort

AIM

Hepatobiliary and pancreatic (HBP) cancers are among the deadliest malignancies. The objective of the study is to build cost-effective models to identify high-risk individuals for early diagnosis and substantially to reduce the burden of HBP cancers.

METHODS

Based on the prospective Dongfeng-Tongji cohort with ∼6 years follow-up, we identified 162 incident cases of hepatocellular carcinoma (HCC), 53 of biliary tract cancer (BTC), and 58 of pancreatic cancer (PC). We matched three controls to each case by age, sex, and hospital. We applied conditional logistic regression to identify predictive clinical variables, from which we constructed clinical risk scores (CRSs). We evaluated the utility of CRSs in stratifying high-risk individuals by 10-fold cross-validation.

RESULTS

Among 50 variables we screened, 6 were independent predictors of HCC, with the top ones being hepatitis (OR = 8.51, 95% CI (3.83, 18.9)), plateletcrit (OR = 0.57, 95% CI (0.42, 0.78)), and alanine aminotransferase (OR = 2.06, 95% CI (1.39, 3.06)). Gallstone (OR = 2.70, 95% CI (1.17, 6.24)) and direct bilirubin (OR = 1.58, 95% CI (1.08, 2.31)) were predictive of BTC, while hyperlipidemia (OR = 2.56, 95% CI (1.12, 5.82)) and fasting blood glucose (OR = 2.00, 95% CI (1.26, 3.15)) were predictive of PC. The CRSs achieved AUCs of 0.784 for HCC, 0.648 for BTC, and 0.666 for PC, respectively. When applying to the full cohort with age and sex included as predictors, the AUCs were increased to 0.818, 0.704, and 0.699, respectively.

CONCLUSIONS

Disease history and routine clinical variables are predictive of incident HBP cancers in elderly Chinese.

Antitumor Effects and Mechanisms of Metabolic Syndrome Medications on Hepatocellular Carcinoma

Liver cancer has a high incidence and mortality rate worldwide, with hepatocellular carcinoma (HCC) being the most common histological type. With the decrease in the number of newly infected patients and the spread of antiviral therapy, hepatitis virus-negative chronic liver diseases including steatohepatitis are increasingly accounting for a large proportion of HCC, and an important clinical characteristic is the high prevalence of metabolic syndrome including hypertension, type 2 diabetes (T2D), dyslipidemia, and obesity. Since patients with steatohepatitis are less likely to undergo surveillance for early detection of HCC, they may be diagnosed at an advanced stage and have worse prognosis. Therefore, treatment strategies for patients with HCC caused by steatohepatitis, especially in advanced stages, become increasingly important. Further, hypertension, T2D, and dyslipidemia may occur as side effects during systemic treatment, and there will be increasing opportunities to prescribe metabolic syndrome medications, not only for originally comorbid diseases, but also for adverse events during HCC treatment. Interestingly, epidemiological studies have shown that patients taking some metabolic syndrome medications are less likely to develop various types of cancers, including HCC. Basic studies have also shown that these drugs have direct antitumor effects on HCC. In particular, angiotensin II receptor blockers (a drug group for treating hypertension), biguanides (a drug group for treating T2D), and statins (a drug group for treating dyslipidemia) have shown to elucidate antitumor effects against HCC. In this review, we focus on the antitumor effects of metabolic syndrome medications on HCC and their mechanisms based on recent literature. New therapeutic agents are also increasingly being reported. Analysis of the antitumor effects of metabolic syndrome medications on HCC and their mechanisms will be doubly beneficial for HCC patients with metabolic syndrome, and the use of these medications may be a potential strategy against HCC.

Impact of diabetes, obesity, and dyslipidemia on the risk of hepatocellular carcinoma in patients with chronic liver diseases

Despite the increasing prevalence of metabolic disorders, the potential effects of metabolic factors on hepatocellular carcinoma (HCC) development in individuals with chronic liver diseases (CLDs) are not well understood. For a metabolic factor to be identified as a risk factor for HCC in patients with CLDs, such as hepatitis B virus (HBV) and hepatitis C virus (HCV) infection, there should be a strong synergistic interaction between the carcinogenic mechanisms of the metabolic factor and the CLD itself. This review aims to comprehensively summarize the published data on the relationship between metabolic factors such as diabetes mellitus (DM), obesity, and blood lipids and the risk of HCC in patients with CLDs. DM consistently increases the risk of HCC in patients with CLD. When associated with DM, the risk of HCC seems to be highest in HCV and non-alcoholic fatty liver disease (NAFLD), followed by alcoholic liver disease (ALD) and HBV. Obesity may increase the risk of HCC. Among CLDs, the evidence is relatively consistent and clear for ALD, while clear evidence is limited in other CLDs including HBV, HCV, and NAFLD. Total cholesterol, potentially low-density lipoprotein cholesterol and triglyceride, seems to have strong inverse associations with HCC in individuals with CLDs. Despite evidence from observational studies, statins had no effect in preventing HCC in randomized controlled trials. Whether statins have a preventive effect against HCC is unclear. A better understanding and management of metabolic factors may be beneficial to reduce the risk of HCC in patients with CLDs.

N1-methyladenosine methylation in tRNA drives liver tumourigenesis by regulating cholesterol metabolism

Hepatocellular carcinoma (HCC) accounts for the majority of primary liver cancers and is characterized by high recurrence and heterogeneity, yet its mechanism is not well understood. Here we show that N1-methyladenosine methylation (m1A) in tRNA is remarkably elevated in hepatocellular carcinoma (HCC) patient tumour tissues. Moreover, m1A methylation signals are increased in liver cancer stem cells (CSCs) and are negatively correlated with HCC patient survival. TRMT6 and TRMT61A, forming m1A methyltransferase complex, are highly expressed in advanced HCC tumours and are negatively correlated with HCC survival. TRMT6/TRMT61A-mediated m1A methylation is required for liver tumourigenesis. Mechanistically, TRMT6/TRMT61A elevates the m1A methylation in a subset of tRNA to increase PPARδ translation, which in turn triggers cholesterol synthesis to activate Hedgehog signaling, eventually driving self-renewal of liver CSCs and tumourigenesis. Finally, we identify a potent inhibitor against TRMT6/TRMT61A complex that exerts effective therapeutic effect on liver cancer.

Metabolic syndrome and its component traits present gender-specific association with liver cancer risk: a prospective cohort study

BACKGROUND & AIMS

Little is known on the gender-specific effect and potential role of non-linear associations between metabolic syndrome (MetS) components and liver cancer risk. We evaluated these associations based on the UK Biobank cohort.

METHODS

We included 474,929 individuals without previous cancer based on the UK Biobank cohort. Gender-specific hazard ratios (HRs) and 95% confidence interval (CIs) were calculated by Cox proportional hazards regression, adjusting for potential confounders. Non-linear associations for individual MetS components were assessed by the restricted cubic spline method.

RESULTS

Over a median follow-up of 6.6 years, we observed 276 cases of liver cancer (175 men, 101 women). MetS [HR 1.48, 95% CI 1.27-1.72] and central obesity [HR 1.65, 95% CI 1.18-2.31] were associated with higher risk of liver cancer in men but not in women. Participants with hyperglycaemia has higher risk of liver cancer. High waist circumference and blood glucose were dose-dependently associated with increased liver cancer risk in both genders. For high density lipoprotein (HDL) cholesterol (both genders) and blood pressure (women), U-shaped associations were observed. Low HDL cholesterol (< 1.35 mmol/L) in men and high HDL cholesterol in women (> 1.52 mmol/L) were associated with increased liver cancer risk.

CONCLUSIONS

MetS components showed gender-specific linear or U- shaped associations with the risk of liver cancer. Our study might provide evidence for individualized management of MetS for preventing liver cancer.

The Inverse Association of Body Mass Index with Lung Cancer: Exploring Residual Confounding, Metabolic Aberrations and Within-Person Variability in Smoking

BACKGROUND

The inverse observational association between body mass index (BMI) and lung cancer risk remains unclear. We assessed whether the association is explained by metabolic aberrations, residual confounding, and within-person variability in smoking, and compared against other smoking-related cancers.

METHODS

We investigated the association between BMI, and its combination with a metabolic score (MS) of mid-blood pressure, glucose, and triglycerides, with lung cancer and other smoking-related cancers in 778,828 individuals. We used Cox regression, adjusted and corrected for within-person variability in smoking (status/pack-years), calculated from 600,201 measurements in 221,958 participants.

RESULTS

Over a median follow-up of 20 years, 20,242 smoking-related cancers (6,735 lung cancers) were recorded. Despite adjustment and correction for substantial within-person variability in smoking, BMI remained inversely associated with lung cancer [HR per standard deviation increase, 0.87 (95% confidence interval 0.85-0.89)]. Individuals with BMI less than 25 kg/m² and high MS had the highest risk [HR 1.52 (1.44-1.60) vs. BMI ≥25 with low MS]. These associations were weaker and nonsignificant among nonsmokers. Similar associations were observed for head and neck cancers and esophageal squamous cell carcinoma, whereas for other smoking-related cancers, we generally observed positive associations with BMI.

CONCLUSIONS

The increased lung cancer risk with low BMI and high MS is unlikely due to residual confounding and within-person variability in smoking. However, similar results for other cancers strongly related to smoking suggest a remaining, unknown, effect of smoking.

IMPACT

Extensive smoking-adjustments may not capture all the effects of smoking on the relationship between obesity-related factors and risk of smoking-related cancers.

Metabolic factors and the risk of small intestine cancers: Pooled study of 800 000 individuals in the metabolic syndrome and cancer project

To explore the largely unknown etiology of small intestine cancer, we examined metabolic factors and risk of small intestine cancer overall and by subtypes. Among 404 220 women and 403 265 men in six European cohorts, we applied Cox regression with adjustment for smoking and body mass index (BMI), to calculate sex-specific hazard ratios (HRs) of small intestine cancer by levels of BMI, mean arterial pressure (MAP) and plasma total cholesterol, triglycerides and glucose. We also calculated HRs for these factors combined (metabolic score; MetS) and used Wald test statistics to investigate pairwise interactions between metabolic factors on risk. We also performed analyses separately per subtype (neuroendocrine tumors [NETs] and adenocarcinomas). During a median follow-up of 16.9 years, 144 women and 195 men were diagnosed with small intestine cancer, including 184 NETs and 99 adenocarcinomas. Among men, no main associations or interactions between metabolic factors were observed in relation to the risk of small intestine cancer. Among women, triglycerides were positively and linearly associated with risk (HR per standard deviation [SD]: 1.23, 95% confidence interval [CI]: 1.04-1.46), and a positive association was also observed for the MetS (HR per SD: 1.25, 95% CI: 1.02-1.52). Positive interactions were observed among women between triglycerides and cholesterol (P = .0005), and between MAP and glucose (P = .009), on risk. Glucose was positively associated with adenocarcinomas among women. This large, prospective study suggests that elevated triglycerides, and metabolic factors in interaction, confer an increased risk of small intestine cancer among women, but not among men.