Educational needs about cancer family history and genetic counseling for cancer risk among frontline healthcare clinicians in New York City

Abstract Background Insulin-like growth factor 1 (IGF-1) and binding protein 3 (IGFBP-3) are associated with breast cancer in women at average risk of cancer. Less is known whether these biomarkers also predict risk in women with breast cancer family history. Methods We conducted a nested case-control study within the New York site of the Breast Cancer Family Registry (BCFR, n = 80 cases, 156 controls), a cohort enriched for breast cancer family history. Using conditional logistic regression, we estimated the association between IGF-1 and IGFBP-3 levels and breast cancer risk and examined whether this risk differed by predicted absolute breast cancer risk based on pedigree models. Results The overall association between IGF-1 or IGFBP-3 elevation (≥ median in controls) and breast cancer risk was elevated, but not statistically significant (IGF-1 OR = 1.37, 95% CI = 0.66–2.85; IGFBP-3 OR = 1.62, 95% CI = 0.81–3.24). Women with elevated predicted absolute 10-year risk ≥ 3.4% and elevated IGFBP-3 (≥ median) had more than a 3-fold increased risk compared to women with lower predicted absolute 10-year risk (< 3.4%) and low IGFBP-3 (OR = 3.47 95% CI = 1.04–11.6). Conclusions These data offer some support that the overall magnitude of the associations between IGF-1 and IGFBP3 seen in average risk cohorts may be similar in women enriched with a strong breast cancer family history.

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Quality of cancer family history and referral for genetic counseling and testing among oncology practices: A pilot test of quality measures as part of the ASCO Quality Oncology Practice Initiative (QOPI).

Journal of Clinical Oncology ◽

10.1200/jco.2012.30.18_suppl.cra1505 ◽

2012 ◽

Vol 30 (18_suppl) ◽

pp. CRA1505-CRA1505 ◽

Cited By ~ 4

Author(s):

Marie Wood ◽

Pamela Kadlubek ◽

Karen H. Lu ◽

Dana Wollins ◽

Jeffrey N. Weitzel ◽

...

Keyword(s):

Genetic Counseling ◽

Genetic Testing ◽

Family History ◽

Pilot Testing ◽

Cancer Family ◽

Referral Rates ◽

Cancer Family History ◽

Counseling And Testing ◽

Oncology Practice

CRA1505 Background: The cancer family history (CFH) is an important tool for identification of individuals for genetic counseling/testing (GC/GT). Prior studies demonstrate a low rate of family history documentation and low referral rates for genetic counseling and genetic testing. Methods: In 2011ASCO began pilot testing new measures in QOPI to evaluate the practice of family history taking and referral for genetic counseling/testing in patients with either breast cancer (BC) or colorectal cancer (CRC). The measures assessed the presence or absence of CFH in 1st/2nd degree relatives, age at cancer diagnosis, referral for GC/GT and outcomes of referral. Results: Between September and October 2011 272 practices pilot tested these measures and reported on 10,466 patients (BC 6569, CRC 3897). 77.4% of all charts reviewed documented presence or absence of CFH in 1st degree relatives (BC 81.2% (CI 80-82%), CRC 77.4% (CI 76-79%), p= <0.001) and 61.5% of charts documented presence or absence of CFH in 2nd degree relatives (BC 68.9% (CI 68-70%), CRC 57.3% (CI 56-59%) p=<0.001). Age at diagnosis was documented for all relatives with cancer in 30.7% of charts (BC 45.2% (CI 44-47%), CRC 35.4% (CI 34-37%) p=<0.001). Patients were referred for GC/GT in 22.1% of all charts reviewed (BC 29.1% (CI 28-30%), CRC 19.6% (CI, 18-21%) p=<0.001). Of patients with hereditary risk (defined by selected risk guidelines) 52.2% of BC and 26.4% CRC were referred for GC/GT. When genetic testing was performed by the practice consent was documented 77.7% of the time and discussion of results was documented 78.8% of the time. Conclusions: Appropriate referral for GC/GT requires a complete and accurate CFH. In this pilot testing of QOPI measures we identified a higher quality of CFH information than expected though with room for improvement. Significant differences were seen between BC and CRC charts with greater accuracy of CFH and higher referral rates among BC patients. To obtain improvement in the identification and management of patients at high risk, significant improvements are needed. Education is part of the answer.

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Assessing the oral cancer risk of South-Asian immigrants in New York City

Cancer ◽

10.1002/cncr.21502 ◽

2005 ◽

Vol 104 (S12) ◽

pp. 2959-2961 ◽

Cited By ~ 21

Author(s):

Kavita P. Ahluwalia

Keyword(s):

New York ◽

New York City ◽

Oral Cancer ◽

Cancer Risk ◽

South Asian ◽

York City ◽

Asian Immigrants ◽

South Asian Immigrants ◽

Oral Cancer Risk

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Healthy Lifestyle Factors, Cancer Family History, and Gastric Cancer Risk: A Population-Based Case-Control Study in China

Frontiers in Nutrition ◽

10.3389/fnut.2021.774530 ◽

2021 ◽

Vol 8 ◽

Author(s):

Jinyu Man ◽

Yingchun Ni ◽

Xiaorong Yang ◽

Tongchao Zhang ◽

Ziyu Yuan ◽

...

Keyword(s):

Gastric Cancer ◽

Family History ◽

Cancer Risk ◽

Healthy Lifestyle ◽

Population Based ◽

Lifestyle Factors ◽

Gastric Cancer Risk ◽

Cancer Family ◽

Cancer Family History ◽

Control Study

Background: We aimed to explore the relationship between lifestyle factors, cancer family history, and gastric cancer risk.Methods: We examined the association between lifestyle factors, cancer family history, and gastric cancer risk based on a population-based case-control study in Taixing, China, with 870 cases and 1928 controls. A lifestyle score was constructed considering body shape, smoking, alcohol drinking, tooth brushing habit, and food storage method. Unconditional logistic regression models were used to calculate odd ratios (ORs) and 95% confidence intervals (CIs).Results: Compared with participants with a lifestyle score of 0, subjects with a lifestyle score of 1 (OR 0.59, 95%CI 0.43–0.83), 2 (OR 0.42, 95%CI 0.30–0.59), 3 (OR 0.29, 95%CI 0.20–0.41), 4 (OR 0.20, 95%CI 0.13–0.32), or 5 (OR 0.10, 95%CI 0.04–0.22) had a lower risk of gastric cancer (P for trend < 0.001). Overall, 34% of gastric cancer cases (95%CI 27–41%) can be attributed to non-compliance with ≥3 healthy lifestyle. Family history of early-onset cancer is closely related to the occurrence of gastric cancer, with an OR ranging from 1.77 to 3.27. Regardless of family history, a good lifestyle is associated with a reduced risk of gastric cancer, with an OR value between 0.38 and 0.70.Conclusions: The early-onset cancer family history is closely related to the occurrence of gastric cancer and a good lifestyle is associated with a reduced risk of gastric cancer regardless of family history. Our results provide a basis for identifying and providing behavior guidance of high-risk groups of gastric cancer.

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What characterizes cancer family history collection tools? A critical literature review

Current Oncology ◽

10.3747/co.25.4042 ◽

2018 ◽

Vol 25 (4) ◽

Cited By ~ 7

Author(s):

J.E. Cleophat ◽

H. Nabi ◽

S. Pelletier ◽

K. Bouchard ◽

M. Dorval

Keyword(s):

Risk Assessment ◽

Family History ◽

Cancer Risk ◽

Electronic Health Records ◽

Health Professionals ◽

Cancer Risk Assessment ◽

Health Records ◽

Cancer Family ◽

Cancer Family History ◽

Electronic Health

Background Many tools have been developed for the standardized collection of cancer family history (fh). However, it remains unclear which tools have the potential to help health professionals overcome traditional barriers to collecting such histories. In this review, we describe the characteristics, validation process, and performance of existing tools and appraise the extent to which those tools can support health professionals in identifying and managing at-risk individuals.Methods Studies were identified through searches of the medline, embase, and Cochrane central databases from October 2015 to September 2016. Articles were included if they described a cancer fh collection tool, its use, and its validation process.Results Based on seventy-nine articles published between February 1978 and September 2016, 62 tools were identified. Most of the tools were paper-based and designed to be self-administered by lay individuals. One quarter of the tools could automatically produce pedigrees, provide cancer-risk assessment, and deliver evidence-based recommendations. One third of the tools were validated against a standard reference for collected fh quality and cancer-risk assessment. Only 3 tools were integrated into an electronic health records system.Conclusions In the present review, we found no tool with characteristics that might make it an efficient clinical support for health care providers in cancer-risk identification and management. Adequately validated tools that are connected to electronic health records are needed to encourage the systematic identification of individuals at increased risk of cancer.

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