Family history of cancer and subsequent risk of cancer: A large‐scale population‐based prospective study in Japan

Heritability of cancers in Japanese population: Estimation from recent cohort data

Cancers are genetically categorized into common diseases showing a so-called multifactorial inheritance except for rare familial cancers. And as a measure to estimate the strength of genetic factors in the multifactorial diseases, heritability (h2) is generally used. However, there have been few reports on the estimation of heritability for cancers. We calculated the heritability from the incidence in subject population and the familial recurrence rate in first-degree relatives of the affected for cancers quoting the data from a large-scale prospective cohort study by Hidaka et al. published in 2020. This is the first report for heritability of any cancers in Japanese population. The results showed that heritability of overall cancers in Japanese population is 0.064, which is much lower than Nordic population reported by Mucci et al. that was 0.33. For individual cancers, stomach cancer (h2 = 0.14), colorectum cancer (0.006), lung cancer (0.08) and uterine cancer (0.16) accounted for half of the total patients, and each heritability tends to be lower than previously reported for the European descent. The results of this study suggest that heritability of cancers varies greatly by ethnicity. And these results should be important in terms of cancer genetics and in the genetic counseling for cancers.

Controlling Risk Factors Reduces Cancer Risk in Patients with Atherosclerotic Cardiovascular Disease: A Cohort Study

BACKGROUND

The association of atherosclerotic cardiovascular disease (ASCVD) with cancer occurrence is not well examined, and the impact of common risk factors on the risk of cancer in ASCVD patients is not known. This study aimed to explore the effect and possible causes of ASCVD on cancer risk through a cohort study.

METHODS

A total of 14,665 age- and sex-matched pairs of participants were recruited from the Kailuan cohort (ASCVD vs non-ASCVD). A competing risk model was used to calculate the risk of cancer after ASCVD.

RESULTS

A total of 1124 cancers occurred after 5.80 (3.05-9.44) years of follow-up. The ASCVD group had a reduced risk of cancer (hazard ratio 0.74; 95% confidence interval, 0.65-0.85). Also, the risk of cancer in the digestive system, respiratory system, urinary system, and reproductive system was reduced by 17%, 16%, 14%, and 52%, respectively. According to the status of systolic and diastolic blood pressure, fasting blood glucose, high-sensitivity C-reactive protein and body mass index after ASCVD, the risk of overall cancer and digestive system cancer decreased with the increase in the number of ideal indicators (P for trend < .01). With the increase of follow-up time, the risk of cancer and the 5 site-specific cancers gradually decreased.

CONCLUSIONS

Cancer risk can be reduced by controlling for common risk factors after ASCVD event. This risk reduction is site-specific-, time-, and the number of ideal indicator-dependent.

Is cancer risk reduced in multiple sclerosis? Results from a tertiary referral center

BACKGROUND

Multiple sclerosis (MS) patients may be protected against cancer because of increased immune surveillance. However, aberrant T/B cell functioning in MS may increase the risk of cancer. We aimed to compare the frequency of cancer among patients with MS with an appropriate control group matched by the variables such as age, gender, tobacco smoking history, body mass index (BMI), and family history of cancer.

METHODS

The MS patients who were registered and followed up at the MS Center in Hacettepe University Hospitals and appropriately matched with controls were included. A self-administered questionnaire with links to the online survey was delivered.

RESULTS

Overall, 1037 responses out of 2074 in MS patients and 506 responses out of 1500 control group were included. Fourteen (1.35%) of MS patients and 18 (3.6%) of the controls were diagnosed with cancer. The odds ratio of having cancer in patients with MS compared to the control group was 0.389 (95% CI = 0.161-0.940, p < 0.05).

DISCUSSION

There was no statistically significant difference in age, gender, tobacco smoking, and BMI between the groups after propensity score matching. The odds of having cancer were lower in our MS patients compared to the controls. The autoimmune changes responsible for the pathogenesis of MS may be responsible for the decrease in cancer risk.

Diagnostic Scrutiny and Patterns of Elevated Cancer Risk: Uncovering Overdiagnosis Through Standardized Incidence Ratios

Certain medical diagnoses and environmental or occupational exposures may be associated with elevated risk of cancer diagnosis, either through causal mechanisms or via increased detection of a subclinical reservoir through increased diagnostic scrutiny (overdiagnosis). The present study aimed to investigate the distribution of elevated cancer risks associated with different diagnoses and exposures. A systematic literature search was conducted to identify studies published in the last 30 years that examined the standardized incidence ratio (SIR) associated with exposures and risk factors. Meta-SIRs for each cancer type were calculated. The distribution of elevated cancer risks was then compared between cancer types previously reported to be susceptible to overdiagnosis and those that have not been associated with overdiagnosis. The review of 108 studies identified four patterns: SIR generally elevated for 1) only overdiagnosis-susceptible cancer types, 2) both overdiagnosed and non-overdiagnosed cancer types, 3) select cancers in accordance with risk factor or exposure, and 4) SIRs that did not exhibit a distinct increase in any cancer type. The distribution of elevated cancer risks may serve as a signature of whether the underlying risk factor or exposure is a carcinogenic process or a mechanism of increased diagnostic scrutiny uncovering clinically occult diseases. The identification of increased cancer risk should be viewed with caution, and analyzing the pattern of elevated cancer risk distribution can potentially reveal conditions that appear to be cancer risk factors but are in fact the result of exposure to medical surveillance or other healthcare activities that lead to the detection of indolent tumors.

Prevalence of family history of cancer in the NC-CCAPH consortium of Japan

The objective of this study was to identify the prevalence of family history of cancer using cohorts participating in the Japanese National Center Cohort Collaborative for Advancing Population Health (NC-CCAPH). We pooled data from seven eligible cohorts of the Collaborative with available data on family history of cancer. Prevalence of family history of cancer and corresponding 95% confidence intervals are presented for all cancers and selected site-specific cancers for the total population and stratified by sex, age, and birth cohort. Prevalence of family history of cancer increased with age ranging from 10.51% in the 15 to 39 year age category to 47.11% in 70-year-olds. Overall prevalence increased in birth cohorts from ≤ 1929 until 1960 and decreased for the next two decades. Gastric cancer (11.97%) was the most common site recorded for family members, followed by colorectal and lung (5.75%), prostate (4.37%), breast (3.43%) and liver (3.05%) cancer. Women consistently had a higher prevalence of family history of cancer (34.32%) versus men (28.75%). Almost one in three participants had a family history of cancer in this Japanese consortium study highlighting the importance of early and targeted cancer screening services.

Application of logistic regression and convolutional neural network in prediction and diagnosis of high-risk populations of lung cancer

OBJECTIVES

The early detection, early diagnosis, and early treatment of lung cancer are the best strategies to improve the 5-year survival rate. Logistic regression analysis can be a helpful tool in the early detection of high-risk groups of lung cancer. Convolutional neural network (CNN) could distinguish benign from malignant pulmonary nodules, which is critical for early precise diagnosis and treatment. Here, we developed a risk assessment model of lung cancer and a high-precision classification diagnostic model using these technologies so as to provide a basis for early screening of lung cancer and for intelligent differential diagnosis.

METHODS

A total of 355 lung cancer patients, 444 patients with benign lung disease and 472 healthy people from The First Affiliated Hospital of Zhengzhou University were included in this study. Moreover, the dataset of 607 lung computed tomography images was collected from the above patients. The logistic regression method was employed to screen the high-risk groups of lung cancer, and the CNN model was designed to classify pulmonary nodules into benign or malignant nodules.

RESULTS

The area under the curve of the lung cancer risk assessment model in the training set and the testing set were 0.823 and 0.710, respectively. After finely optimizing the settings of the CNN, the area under the curve could reach 0.984.

CONCLUSIONS

This performance demonstrated that the lung cancer risk assessment model could be used to screen for high-risk individuals with lung cancer and the CNN framework was suitable for the differential diagnosis of pulmonary nodules.

Serum levels of retinol-binding protein 4 and the risk of non-small cell lung cancer: A case-control study

Retinol binding protein 4 (RBP4), as an adipokine, has been identified to be associated with several types of cancer. However, no studies have assessed its effect on non-small cell lung cancer (NSCLC) risk. The objective of this study was to assess the association between serum RBP4 levels and the risk of NSCLC.A case-control study design was used to recruit 256 confirmed NSCLC cases and 256 age- and gender-matched healthy controls by frequency between August 2017 and January 2019. Serum RBP4 was measured using enzyme-linked immune absorbent assay before treatment. Unconditional logistic regression analysis was applied to estimate the odds ratio and 95% confidence interval (CI).Serum RBP4 level was significantly higher in NSCLC patients than those in the healthy control group (36.05 ± 8.28 vs 29.54 ± 7.71 μg/mL, P < .05). Higher serum RBP4 level was associated with increased risk of NSCLC (P trend = .001). Compare with those in the lowest tertile, the adjusted odds ratios were 1.85 (95% CIs 1.07-3.2) (P = .029) for the second tertile and 2.18 (95% CIs 1.37-3.45) (P = .001) for the highest tertile after adjusting for confounding variables. No interactions were observed after stratified analyses by body mass index and smoking status (P for interaction: .584 and .357).Our study indicated that serum RBP4 level was positively related to the risk of NSCLC. Additional studies with prospective design are required to confirm this finding.