Cancer Epidemiology Biomarkers & Prevention最新文献

Background: We examined the association between late-stage diagnosis and individual- and community-level sociodemographic and socioeconomic characteristics among patients with pediatric Hodgkin lymphoma and rhabdomyosarcoma (RMS).

Methods: We obtained Children's Oncology Group data from 1999 to 2021 including summary stage [local (L), regional (R), and distant (D)], tumor subtype, demographics, and ZIP Code at diagnosis. We linked ZIP Codes to county-level redlining scores (C, D = greatest redlining), the Child Opportunity Index, and measures of segregation (racial dissimilarity indices). Logistic regressions calculated odds ratios for late-stage diagnosis and by race within tumor subtype.

Results: In total, 5,956 patients with Hodgkin lymphoma and 2,800 patients with RMS were included. Late-stage diagnosis of Hodgkin lymphoma was correlated with Black race [ORDistant(D) vs. regional/local (R&L) = 1.38 (1.13-1.68)], being uninsured [ORD vs. R&L = 1.38 (1.09-1.75)], and subtype [nodular sclerosis vs. Other Hodgkin lymphoma: ORD vs. R&L = 1.64 (1.34-2.01), Untyped: ORD vs. R&L = 1.30 (1.04-1.63)]. Late-stage RMS was correlated with bilingual households [ORDistant/regional(D&R) vs. local(L) = 2.66 (1.03-6.91)] and tumor type [alveolar vs. embryonal ORD vs. R&L = 6.16 (5.00-7.58)]. Community-level factors associated with late-stage Hodgkin lymphoma were greater Black (OR80-100% = 1.83; 95% CI = 1.11-3.02) and Hispanic (OR60-79% = 1.30; 95% CI = 1.05-1.60) dissimilarity indices. Late-stage diagnosis for RMS was associated with more redlined census tracts within counties (OR = 1.54; 95% CI = 1.02-2.35) and low/very low Child Opportunity Index (OR = 1.21; 95% CI = 1.02-1.45).

Conclusions: Novel markers of community deprivation, such as redlining and racial segregation, were correlated with cancer outcomes for children with Hodgkin lymphoma and RMS in this first disparities study using Children's Oncology Group registries.

Impact: The interplay of multilevel risk factors provides important consideration for efforts to improve early detection of pediatric cancer diagnosis.

Background: Guidelines informing chemotherapy regimen selection are based on clinical trials with participants who do not necessarily represent general populations with breast cancer. Understanding who receives nonguideline regimens is important for understanding real-world chemotherapy administration and how it relates to patient outcomes.

Methods: Using data from the Optimal Breast Cancer Chemotherapy Dosing (OBCD) study, based at Kaiser Permanente Northern California (2006-2019) and Kaiser Permanente Washington (2004-2015), we use logistic regression to examine the associations between patient characteristics and receipt of nonguideline chemotherapy regimens among 11,293 women with primary stage I to IIIA breast cancer receiving chemotherapy.

Results: The use of nonguideline regimens was strongly associated with several factors, including older age [≥80 vs. 18-39 years: OR, 5.25; 95% confidence interval (CI), 3.06-9.00; P-trend = 0.002] and HER2 status (HER2+ vs. HER2-: OR, 3.44; 95% CI, 3.06-3.87) and was less likely in women with larger tumor size (>5 cm vs. 0.1 to ≤0.5 cm: OR, 0.56; 95% CI, 0.36-0.87; P-trend = 0.01) and diagnosed in later years (2012-2019 vs. 2005-2011: OR, 0.80; 95% CI, 0.71-0.90). Factors associated varied by type of nonguideline regimens. For example, women with comorbidity and older age were more likely to receive nonguideline drug combinations in particular, whereas women with larger tumor size were less likely to receive nonguideline administration schedules.

Conclusions: Nonguideline chemotherapy regimens are more likely in certain patient populations.

Impact: These associations highlight that vulnerable patient populations may be less likely to receive guideline care, and thus, real-world studies are essential for understanding how the use of nonguideline regimens impacts patient outcomes in these groups.

Background: The role of adult adiposity in young-onset breast cancer (YOBC) subtype risk is not well understood.

Methods: In this population-based case(n=1812)-control(n=1381) study of invasive YOBC (aged <50 years), cases were identified from the Los Angeles County and Metropolitan Detroit SEER registries, 2010-2015. Area-based, frequency-matched controls were sampled from the 2010 Census. General adiposity (body mass index (BMI)) and central adiposity (waist circumference (WC), waist-to-height ratio (WHtR)) across adulthood and covariates were collected from in-person interviews and measurements. Odds ratios (ORs) and 95% confidence intervals (CIs) for adiposity and YOBC tumor subtypes (i.e., luminal A, luminal B, HER2+, triple negative (TN)) were calculated, overall and by parity, using multivariable weighted logistic regression.

Results: Obese young adult BMI was inversely associated with luminal A YOBC (OR=0.35, 95% CI 0.16-0.79); other subtype associations were non-significant. Similarly, adult overweight and obese BMIs were inversely associated with luminal A (respectively OR=0.66, 95% CI 0.48-0.91 and OR=0.59, 95% CI 0.46-0.87), but not other subtypes. Conversely, larger WC was associated with higher odds of luminal B and TN YOBC (respectively OR=1.48, 95% CI 1.01-2.15 and OR=2.48, 95% CI 1.52-3.88), but not other subtypes (with similar results for WHtR); highest odds were among parous women.

Conclusions: Findings show greater general adult adiposity is associated with reduced odds of luminal A YOBC, while greater central adiposity is associated with increased odds of luminal B and TN YOBC, particularly among parous women.

Impact: Additional studies of central adiposity and YOBC subtype risk, especially incorporating pregnancy history, are warranted.

Background: Body composition may be related to survival in patients with clear-cell renal cell carcinoma (ccRCC), but studies have not simultaneously considered adipose and muscle tissue quantity and radiodensity.

Methods: We analyzed data from 1,022 patients with ccRCC who underwent nephrectomy between 2000 and 2020 at Memorial Sloan Kettering Cancer Center. Skeletal muscle, visceral adipose tissue, and subcutaneous adipose tissue indexes (cm2/m2) and radiodensities [Hounsfield units (HU)] were assessed from noncontrast presurgical CT scans; clinical and demographic characteristics were available from the time of surgery. HRs and confidence intervals were estimated for overall (OS) and disease-free survival (DFS) through March 2023 in multivariable models that simultaneously accounted for all body composition measures.

Results: The median age of the patients was 58 years, 69% were male, and 90% were White. There were 169 OS events over 8,392 person-years and 253 DFS events over 7,753 person-years of follow-up. In adjusted analyses, poor OS was associated with lower skeletal muscle radiodensity [-10 HU, HR (95% confidence interval), 1.37 (1.05-1.77)] and greater visceral adipose tissue radiodensity [+10 HU, 1.66 (1.06-2.59)], with similar findings for DFS. Poor survival was also associated with greater visceral adipose tissue index [+40 cm2/m2, OS: 1.32 (0.97, 1.79); DFS: 1.33 (1.04, 1.71)]. Associations with skeletal muscle radiodensity were limited to patients with stage 1/2 disease.

Conclusions: Radiodensities of skeletal muscle and visceral adipose tissues may be novel presurgical prognostic factors for patients with ccRCC.

Impact: The findings underscore the importance of evaluating the full range of body composition features simultaneously in multivariable models.

Liver cancer, the sixth most frequently occurring cancer in the world and the third most common cause of cancer mortality, has wide geographical variation in both incidence and mortality rates. At the end of the 20th century, incidence rates began declining in some high-rate areas and increasing in some lower-rate areas. These trends were undoubtedly driven by the shifting contributions of both well-established and more novel risk factors. While notable strides have been made in combating some major risk factors, such as hepatitis B virus and hepatitis C virus, the emergence of metabolic conditions as important drivers of liver cancer risk indicates that much work remains to be done in prevention. As liver cancer is strongly associated with economic and social deprivation, research, early-diagnosis, and treatment among disadvantaged populations are of paramount importance.

Background: Higher magnesium intake was linked to a lower risk of hepatocellular carcinoma (HCC). However, the relationship between blood magnesium level and HCC has not been fully characterized, especially among patients with liver cirrhosis who are at a higher risk for HCC.

Methods: In the Mass General Brigham Biobank, we developed a new prospective cohort of 1,430 patients with liver cirrhosis without liver cancer history using the validated International Classification of Diseases codes. We used Cox proportional hazards models to generate hazard ratios (HRs) with 95% confidence intervals (CI) for incident HCC and used generalized estimating equations to compare changes in liver biomarkers according to baseline blood magnesium, adjusting for age, sex, race, lifestyles, body mass index, type 2 diabetes, model for end-stage liver disease score, and hepatitis infection.

Results: During a median follow-up period of 4.26 years, 109 patients developed HCC. Magnesium deficiency (<1.70 mg/dL; N = 158) was associated with a higher risk of HCC (HR = 1.93; 95% CI, 1.12-3.30) compared with magnesium sufficiency (≥1.70 mg/dL; N = 1282). This association remained robust in the 1-year lag analysis (HR = 2.18; 95% CI, 1.11-4.28) and in sensitivity analysis excluding patients with alcoholic liver disease (HR = 2.41; 95% CI, 1.23-4.74). Magnesium in the lowest quartile was associated with a faster increase in alanine transaminase (β = 4.35; 95% CI, 1.06-7.63), aspartate aminotransferase (β = 6.46; 95% CI, 0.28-12.6), direct bilirubin (β = 0.18; 95% CI, 0.01-0.35), and total bilirubin (β = 0.21; 95% CI, 0.03-0.39), compared with the highest quartile.

Conclusions: Lower blood magnesium level is associated with higher HCC risk and unfavorable liver biomarker changes.

Impact: If confirmed, our findings may potentially enable better identification of high-risk patients for HCC and inform better management strategies for liver cirrhosis.

Background: The incorporation of breast density and a polygenic risk score (PRS) into breast cancer risk prediction models can alter previously communicated risk estimates. Previous research finds that risk communication does not usually change personal risk appraisals. This study aimed to examine how women from the Family History Risk (FH-Risk) study appraise their breast cancer risk following communication of an updated risk estimate.

Methods: In the FH-Risk study 323 women attended a consultation to receive an updated breast cancer risk estimate. A subset (n=190) completed a questionnaire, assessing their subjective breast cancer risk appraisals, satisfaction with the information provided and cancer related worry. One hundred and three were notified of a decrease risk, 34 an increase and 53 an unchanged risk.

Results: Women's subjective risk appraisals were in line with the updated risk estimates provided, with age, a PRS and breast density explaining most of the variance in these appraisals. Those notified of an increased risk demonstrated higher subjective risk perceptions compared to those whose risk remained unchanged or decreased.

Conclusions: Women's subjective breast cancer risk appraisals are amenable to change following updated risk feedback, with new information breast density and a PRS accepted and integrated into existing risk appraisals. Trust in the service, the analogies and visual communication strategies used may have positively influenced the integration of this new information.

Impact: Further research is warranted to assess whether similar patterns emerge for other illnesses and in different clinical contexts to determine the best strategies for communicating updated risk estimates.

Background: Assessing breast cancer risks from lifestyle and reproductive factors is critical for developing population-specific risk prediction tools. However, limited studies have evaluated these risks in recent Asian birth cohorts.

Methods: We systematically reviewed articles published from January 2010 to December 2023, examining breast cancer risk factors in Asian women. Data were described narratively, estimates pooled, and prevalence and attributable proportions compared across Asian populations.

Results: Of the 128 studies reviewed, 103 reported adjusted effect sizes for meta-analysis. Lifestyle and reproductive factors were predictive of breast cancer risk in Asian women, with varying impacts on premenopausal and postmenopausal women. Relative risks were similar within Asian populations and in comparison to European populations, except for menarche, menopause, and hormone receptor therapy. However, risk factor distributions differed across populations. While alcohol intake (21%) and oral contraceptive use (20%) emerged as the most attributable modifiable risk factors in Europeans, passive smoking (24%) and higher BMI (17%, ≥24 kg/m2 among postmenopausal women) were predominant in Asians.

Conclusions: Our study shows that while the effects of lifestyle and reproductive breast cancer risk factors are largely similar across different populations, their distributions vary.

Impact: Our analysis underscores the importance of considering population-specific risk factor distributions when developing risk prediction tools for Asian populations.

HER2-positive breast cancer accounts for 10% to 20% of all breast cancer diagnoses. The mAb trastuzumab is crucial in treating this disease, significantly improving survival outcomes. Despite its inclusion in the World Health Organization's Model List of Essential Medicines, access to trastuzumab remains limited worldwide. In this issue of the journal, Norris and colleagues report that only 45% of eligible patients with HER2-positive breast cancer in the United Kingdom received trastuzumab between 2012 and 2017. This finding in a high-income country with universal health care is worrisome and points toward even greater barriers to access in developing nations. Some solutions to improve accessibility, which we discuss, include shorter durations of trastuzumab treatment and encouraging the registration and availability of biosimilars. The data presented by Norris and colleagues point toward a disconnect between the academic oncology landscape, focused on expensive drugs with marginal benefits, and everyday practice in which even essential interventions may not be available. Ensuring the accessibility to proven, essential medicines should be as relevant as innovation to improve patient outcomes and create a more sustainable healthcare system. See related article by Norris et al., p. 1298.

Background: Risk factors have a limited ability to predict individuals at high risk of developing ovarian cancer among average-risk women, highlighting the need for discovery of novel biomarkers. In the UK Biobank, we investigated serum biomarkers commonly measured in clinical laboratory tests and ovarian cancer risk.

Methods: We conducted a prospective analysis of 20 serum biomarkers and ovarian cancer risk in 232,037 female UK Biobank participants (including 1,122 incident ovarian cancer cases diagnosed from 2006 to 2020). Multivariable adjusted Cox proportional hazards models were used to examine associations between biomarkers and ovarian cancer risk overall and by histotype. FDR was used to account for multiple testing.

Results: Overall, higher levels of insulin-like growth factor (IGF)-1 [RRquartile 4 vs. 1 = 0.73; 95% confidence interval (CI), 0.60-0.87; P-trend = 0.002/FDR = 0.04], HbA1c (RRquartile 4 vs. 1 = 0.74; 95% CI, 0.62-0.89; P-trend = 0.002/FDR = 0.04), and alanine aminotransferase (RRquartile 4 vs. 1 = 0.76; 95% CI, 0.63-0.91; P-trend = 0.002/FDR = 0.04) were significantly associated with lower ovarian cancer risk. When stratified by histotype, higher IGF1 levels were associated with lower risk of serous (RRquartile 4 vs. 1 = 0.73; 95% CI, 0.58-0.91; P-trend = 0.01/FDR = 0.20) and clear cell tumors (RRquartile 4 vs. 1 = 0.18; 95% CI, 0.07-0.49; P-trend = 0.001/FDR = 0.02), and higher HbA1c levels were associated with lower risk of serous tumors (RRquartile 4 vs. 1 = 0.73; 95% CI, 0.59-0.90; P-trend = 0.004/FDR = 0.08).

Conclusions: We observed that higher levels of circulating IGF1, HbA1c, and alanine aminotransferase were associated with lower ovarian cancer risk.

Impact: These results suggest metabolism of glucose/amino acid and insulin/IGF1 signaling pathway may be contributing to ovarian carcinogenesis. Further research is needed to replicate our findings and elucidate how systemic changes in metabolism impact ovarian carcinogenesis.