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Αλέξανδρος Γ. Σφακιανάκης

Wednesday, June 12, 2019

Cancer Causes & Control

Racial/ethnic differences in survival among gastric cancer patients in california

Abstract

Background

Gastric cancer is an important cause of death among racial/ethnic minorities in the U.S. The objective of this study was to investigate racial disparities in survival among gastric cancer patients within demographic and disease subgroups.

Methods

Patients diagnosed with invasive epithelial gastric cancer between 2006 and 2015 were identified from the California Cancer Registry. Cox proportional hazards regression was used to identify factors associated with survival among non-Hispanic whites (NHWs, n = 7,475), non-Hispanic blacks (NHBs, n = 1,246), Hispanics (n = 6,274), and Asians/Pacific Islanders (APIs, n = 4,204). Survival was compared across race/ethnicity within subgroups of demographic and disease factors. Five-year relative survival was also calculated within subgroups.

Results

There were notable differences in patient characteristics by race/ethnicity, but predictors of survival were similar for each group. Overall, APIs (HR = 0.83, 95% CI: 0.79, 0.88, p < 0.0001) and Hispanics (HR = 0.94, 95% CI: 0.90, 0.99, p = 0.0104) had better survival than NHWs, but NHBs and NHWs did not have different prognosis (HR = 1.06, 95% CI: 0.98, 1.15, p = 0.2237). The survival advantage of APIs persisted in nearly every demographic and disease subgroup, but Hispanics and NHBs had similar survival as NHWs in most groups. Race was not a significant predictor of survival among those with public or no insurance and patients with cardia tumors.

Conclusions

There are some differences in survival by race/ethnicity, but race/ethnicity alone cannot explain disparate outcomes in gastric cancer. Future studies, particularly ones that investigate the role of population-specific etiological factors and molecular tumor profiles, are needed to further understand factors associated with survival.



Socioeconomic gradients in cancer incidence by race and ethnicity in California, 2008–2012: the influence of tobacco use or screening detectable cancers

Abstract

Purpose

There are clearly documented inequalities in cancer incidence by socioeconomic position, but it is unclear whether this is due primarily to differences in tobacco exposure and screening practices or to other factors.

Methods

Our study included 741,373 incident cases of invasive cancer from 2008 to 2012 in California. We calculated age-standardized incidence rates across twelve categories of census tract poverty as a measure of socioeconomic position (SEP) for (1) all cancer sites combined, (2) sites not strongly related to tobacco use, (3) sites not related to screening, and (4) sites not related to tobacco use or screening.

Results

There was higher cancer incidence among those living in areas with higher levels of poverty for sites not strongly related to tobacco use or screening, among Whites, Blacks, and Asians, but not among Latinos. Among Whites there was no relationship with census tract poverty at lower levels of poverty—the relationship with cancer incidence was primarily among those in higher poverty. For Blacks and Asians, there is a more linear relationship with cancer incidence across levels of poverty.

Conclusions

SEP gradients in cancer incidence remain after exclusion of cancer sites strongly related to tobacco use and screening. Our findings demonstrate a need for research on other environmental and social causes of cancer where exposures are differentially distributed by SEP.



Artificial intelligence (AI) and cancer prevention: the potential application of AI in cancer control programming needs to be explored in population laboratories such as COMPASS

Abstract

Understanding the risk factors that initiate cancer is essential for reducing the future cancer burden. Much of our current cancer control insight is from cohort studies and newer large-scale population laboratories designed to advance the science around precision oncology. Despite their promise for improving diagnosis and treatment outcomes, their current reductionist focus will likely have little impact shifting the cancer burden. However, it is possible that these big data assets can be adapted to have more impact on the future cancer burden through more focus on primary prevention efforts that incorporate artificial intelligence (AI) and machine learning (ML). ML automatically learns patterns and can devise complex models and algorithms that lend themselves to prediction in big data, revealing new unexpected relationships and pathways in a reliable and replicable fashion that otherwise would remain hidden given the complexities of big data. While AI has made big strides in several domains, the potential application in cancer prevention is lacking. As such, this commentary suggests that it may be time to consider the potential of AI within our existing cancer control population laboratories, and provides justification for why some small targeted investments to explore their impact on modelling existing real-time cancer prevention data may be a strategic cancer control opportunity.



Development and validation of a model to predict outcomes of colon cancer surveillance

Abstract

Purpose

Clinical trials suggest that intensive surveillance of colon cancer (CC) survivors to detect recurrence increases curative-intent treatment, although any survival benefit of surveillance as currently practiced appears modest. Realizing the potential of surveillance will require tools for identifying patients likely to benefit and for optimizing testing regimens. We describe and validate a model for predicting outcomes for any schedule of surveillance in CC survivors with specified age and cancer stage.

Methods

A Markov process parameterized based on individual-level clinical trial data generates natural history events for simulated patients. A utilization submodel simulates surveillance and diagnostic testing. We validate the model against outcomes from the follow-up after colorectal surgery (FACS) trial.

Results

Prevalidation sensitivity analysis showed no parameter influencing curative-intent treatment by > 5.0% or overall five-year survival (OS5) by > 1.5%. In validation, the proportion of recurring subjects predicted to receive curative-intent treatment fell within FACS 95% CI for carcinoembryonic antigen (CEA)-intensive, computed tomography (CT)-intensive, and combined CEA+CT regimens, but not for a minimum surveillance regimen, where the model overestimated recurrence and curative treatment. The observed OS5 fell within 95% prediction intervals for all regimens.

Conclusion

The model performed well in predicting curative surgery for three of four FACS arms. It performed well in predicting OS5 for all arms.



Disadvantaged neighborhoods and racial disparity in breast cancer outcomes: the biological link

Abstract

Neighborhoods encompass complex environments comprised of unique economic, physical, and social characteristics that have a profound impact on the residing individual's health and, collectively, on the community's wellbeing. Neighborhood disadvantage (ND) is one of several factors that prominently contributes to racial breast cancer (BC) health disparities in American women. African American (AA) women develop more aggressive breast cancer features, such as triple-negative receptor status and more advanced histologic grade and tumor stage, and suffer worse clinical outcomes than European American (EA) women. While the adverse effects of neighborhood disadvantage on health, including increased risk of cancer and decreased longevity, have recently come into focus, the specific molecular mechanisms by which neighborhood disadvantage increases BC risk and worsens BC outcomes (survivorship, recurrence, mortality) are not fully elucidated. This review illuminates the probable biological links between neighborhood disadvantage and predominantly BC risk, with an emphasis on stress reactivity and inflammation, epigenetics and telomere length in response to adverse neighborhood conditions.



Treatment trends in head and neck cancer: Surveillance, Epidemiology, and End Results (SEER) Patterns of Care analysis

Abstract

Purpose

Recent advances in head and neck cancer (HNC) treatment, such as increased use of organ-preserving advanced radiation treatments, the approval of cetuximab for HNC treatment, and the increase in human papillomavirus (HPV)-related HNC, have changed clinical approaches to HNC management. We sought to identify treatment trends in a population-based cohort of HNC patients.

Methods

The Surveillance, Epidemiology, and End Results Patterns of Care program collected additional treatment and HPV testing information on stratified random samples of HNC patients diagnosed in 1997 (n = 473), 2004 (n = 1,317), and 2009 (n = 1,128). Rao–Scott Chi-square tests were used to examine unadjusted associations between year of diagnosis and patient sociodemographic, tumor, and treatment characteristics. Cochran–Armitage tests for trend were used to examine the hypothesis that certain treatments were used increasingly (or decreasingly) over the time period, while logistic regression was used to examine factors associated with particular treatments.

Results

Use of radiation and chemotherapy without surgery significantly increased for all HNC sites between 1997 and 2009. Cetuximab and taxane use also showed a significantly increasing trend. Lack of insurance was associated with not receiving treatment in multivariate models. The majority (64%) of cases undergoing radiation in 2009 received an advanced treatment, with 55% receiving intensity modulated. The majority of oropharyngeal cases with known HPV status received chemotherapy and radiation only (62%) and nearly all were insured and had one or fewer comorbidities.

Conclusions

Treatment patterns have changed for HNC, leading to increased incorporation of systemic therapy and newer radiation techniques. HPV testing should be targeted for more widespread use, especially in traditionally underserved groups.



The Mind–Body Study: study design and reproducibility and interrelationships of psychosocial factors in the Nurses' Health Study II

Abstract

Purpose

Associations between psychosocial factors and biomarkers are increasingly investigated in studies of cancer incidence and mortality. Documenting optimal data/biospecimen collection protocols and scale properties are fundamental for elucidating the impact of psychosocial factors on biologic systems and ultimately cancer development/progression.

Methods

Between 2013 and 2014, 233 Nurses' Health Study II women (mean age: 60.6) participated in the Mind–Body Study. Participants completed a detailed online psychosocial assessment and provided hair, toenail, timed saliva over 1 day, urine and fasting blood twice, 1 year apart. Additionally, two separate microbiome collections for stool and saliva were conducted between the psychosocial assessments. We assessed correlations between various psychosocial measures and evaluated their 1-year reproducibility using intraclass correlations (ICC).

Results

Compliance with the protocols was high among participants. Psychosocial measures showed moderate-to-high reproducibility over 1 year (ICCs = 0.51–0.81). There was clear clustering of psychosocial factors according to whether they were querying positive (e.g., optimism, mastery, mindfulness) or negative (e.g., anxiety, depression, discrimination) emotion-related or social constructs.

Conclusion

Results suggest feasibility for self-administered collection of various biospecimens and moderate-to-high reproducibility of psychosocial factors. The Mind–Body Study provides a unique resource for assessing inter-relationships between psychosocial factors and biological processes linked with long-term health outcomes, including carcinogenesis.



Influence of genetic variation in the vitamin D pathway on plasma 25-hydroxyvitamin D 3 levels and survival among patients with metastatic colorectal cancer

Abstract

Purpose

The relationships of genetic variation in the vitamin D pathway with circulating 25-hydroxyvitamin D3 [25(OH)D] levels and survival remain largely unknown for patients with metastatic colorectal cancer (mCRC).

Methods

Among 535 patients participating in a randomized trial of chemotherapy for mCRC, we prospectively measured baseline plasma 25(OH)D and examined 124 tagging single-nucleotide polymorphisms (SNPs) within seven genes in the vitamin D pathway, including five SNPs associated with circulating 25(OH)D levels in previous genome-wide association studies (GWAS). We evaluated whether these SNPs were associated with plasma 25(OH)D levels and patient outcome (overall survival, time to progression, and tumor response), using linear, logistic, and Cox proportional hazards regression.

Results

We observed a significant association between 25(OH)D levels and an additive genetic risk score determined by the five GWAS-identified SNPs (p = 0.0009). We did not observe any direct association between 25(OH)D-associated SNPs, individually or as a genetic risk score, and patient outcome. However, we found a significant interaction between 25(OH)D levels and rs12785878 genotype in DHCR7 on overall survival (pinteraction = 0.02).

Conclusion

Germline genetic variation in the vitamin D pathway informs baseline 25(OH)D levels among patients with mCRC. The association between 25(OH)D levels and overall survival may vary by DHCR7 genotype.

ClinicalTrials.gov Identifier: NCT00003594 (https://clinicaltrials.gov/ct2/show/NCT00003594).



Are decision aids leading to shared prostate cancer screening decisions among African-American men?: iDecide

Abstract

Purpose

African-Americans have prostate cancer mortality rates that are double their White counterparts. To reduce prostate cancer disparities, it is suggested that men engage in shared decision making about prostate cancer screening with their healthcare provider after learning about the benefits and harms of these screenings. While researchers have developed decision aids to support African-American's screening decisions, there is some uncertainty whether these aids lead to shared decision making. The goal of the current study was to investigate the efficacy of iDecide, a computerized decision aid, for promoting African-American men's engagement in shared decision making.

Methods

Six months after their use of iDecide, a prostate cancer screening decision aid, 76 participants were surveyed to determine whether they spoke with a provider about screening, what this conversation entailed, and if shared decision making occurred.

Results

While iDecide is an effective tool for enhancing African-American's intention to engage in shared decision making, there is no evidence this aid increased their likelihood of discussing prostate cancer with a provider or participation in shared decision making.

Conclusion

Future research should employ stronger research designs and assess the various contexts that can affect the relationship between decision-aid use and shared decision making among African-Americans.



Understanding geographic variations of indoor radon potential for comprehensive cancer control planning

Abstract

Purpose

Lung cancer is the leading cause of U.S. cancer deaths and radon is the second leading risk factor for lung cancer. By better understanding geologic variations of radon production in states, comprehensive cancer control efforts could be improved. The study purpose was to assess states with the greatest potential for elevated radon and the likelihood of radon-related actions in National Comprehensive Cancer Control Program (NCCCP) awardee cancer plans.

Methods

Two state-level variables were derived to approximate potential for elevated radon using the Environmental Protection Agency county map and the 2015 U.S. Census. The association between radon potential and inclusion of radon activity within cancer plans was evaluated using logistic regression.

Results

Fifty-one percent of cancer plans recognized an association between radon and cancer risk, and included measurable radon activities. Most states with high radon potential included radon activity in cancer plans. Both measures of radon potential were significantly associated with NCCCP cancer plans including radon activity.

Conclusions

Geospatial analyses help to prioritize radon-related lung cancer activities. In areas with high potential for radon exposure, increasing knowledge about potential for radon exposure may result in increased radon testing, mitigation, or other radon reducing strategies, and ultimately reduction of lung cancer deaths.



Alexandros Sfakianakis
Anapafseos 5 . Agios Nikolaos
Crete.Greece.72100
2841026182
6948891480

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