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The multitarget stool DNA test with fecal immunochemical test (sDNA-FIT) is recommended by all major US guidelines as an option for colorectal cancer screening. It is approved by the Food and Drug Administration for use in average-risk individuals aged 45 years and older. The sDNA-FIT tests for 11 biomarkers, including point mutations in KRAS, aberrant methylation in NDRG4 and BMP3, and human hemoglobin. Patients collect a stool sample at home, send it to the manufacturer's laboratory within 1 day, and the result is reported in approximately 2 weeks. Compared with FIT, sDNA-FIT has higher sensitivity but lower specificity for colorectal cancer, which translates to a higher false-positive rate. A unique feature of sDNA-FIT is the manufacturer's comprehensive patient navigation system, which operates 24 hours a day and provides active outreach for patient education and reminders in the first month after a test is ordered. Retesting is recommended every 1–3 years, although the optimal testing interval has not yet been determined empirically. The cost of sDNA-FIT is $681 without insurance, but Medicare and most private insurers cover it with no copay or deductible.

INTRODUCTION:Screening decreases colorectal cancer incidence and mortality, but uptake in the United States remains suboptimal. Prior studies have investigated the effect of various interventions on overall colorectal cancer screening and stool-based testing, but the effect on colonoscopy-the predominant screening test in the United States-has not been fully examined. We performed a systematic review and meta-analysis to assess the effect of behavioral interventions on screening colonoscopy uptake.METHODS:We searched PubMed, Embase, and Cochrane databases through January 2022 for controlled trials that assessed the effect of behavioral interventions on screening colonoscopy uptake. All titles, abstracts, and articles were screened by at least 2 independent reviewers. Odds ratios were extracted from the original article or calculated from the raw data. The primary outcome was the relative increase in screening colonoscopy completion with any behavioral intervention. We performed random-effects meta-analysis, with subgroup analysis by type of intervention.RESULTS:A total of 25 studies with 30 behavioral interventions were analyzed. The most common interventions were patient navigation (n = 11) and multicomponent interventions (n = 6). Overall, behavioral interventions increased colonoscopy completion by 54% compared with controls (odds ratio [OR] 1.54, 95% confidence interval [CI] 1.26-1.88). Patient navigation (OR 1.78, 95% CI 1.35-2.34) and multicomponent interventions (OR 1.84, 95% CI 1.17-2.89) had the strongest effect on colonoscopy completion among interventions examined in multiple studies. Significant heterogeneity was observed both overall and by intervention type. There was no evidence of publication bias.DISCUSSION:Behavioral interventions increase screening colonoscopy completion and should be adopted in clinical practice. In particular, patient navigation and multicomponent interventions are the best-studied and most effective interventions.

High-grade serous ovarian and endometrial cancers are the most lethal female reproductive tract malignancies worldwide. In part, failure to treat these two aggressive cancers successfully centers on the fact that while the majority of patients are diagnosed based on current surveillance strategies as having a complete clinical response to their primary therapy, nearly half will develop disease recurrence within 18 months and the majority will die from disease recurrence within 5 years. Moreover, no currently used biomarkers or imaging studies can predict outcome following initial treatment. Circulating tumor DNA (ctDNA) represents a theoretically powerful biomarker for detecting otherwise occult disease. We therefore explored the use of personalized ctDNA markers as both a surveillance and prognostic biomarker in gynecologic cancers and compared this to current FDA-approved surveillance tools. Tumor and serum samples were collected at time of surgery and then throughout treatment course for 44 patients with gynecologic cancers, representing 22 ovarian cancer cases, 17 uterine cancer cases, one peritoneal, three fallopian tube, and one patient with synchronous fallopian tube and uterine cancer. Patient/tumor-specific mutations were identified using whole-exome and targeted gene sequencing and ctDNA levels quantified using droplet digital PCR. CtDNA was detected in 93.8% of patients for whom probes were designed and levels were highly correlated with CA-125 serum and computed tomography (CT) scanning results. In six patients, ctDNA detected the presence of cancer even when CT scanning was negative and, on average, had a predictive lead time of seven months over CT imaging. Most notably, undetectable levels of ctDNA at six months following initial treatment was associated with markedly improved progression free and overall survival. Detection of residual disease in gynecologic, and indeed all cancers, represents a diagnostic dilemma and a potential critical inflection point in precision medicine. This study suggests that the use of personalized ctDNA biomarkers in gynecologic cancers can identify the presence of residual tumor while also more dynamically predicting response to treatment relative to currently used serum and imaging studies. Of particular interest, ctDNA was an independent predictor of survival in patients with ovarian and endometrial cancers. Earlier recognition of disease persistence and/or recurrence and the ability to stratify into better and worse outcome groups through ctDNA surveillance may open the window for improved survival and quality and life in these cancers.

INTRODUCTION:Screening decreases colorectal cancer (CRC) incidence and mortality, but uptake in the United States remains suboptimal at 62%. Prior studies have investigated the effect of various interventions on overall CRC screening and stool-based testing, but the effect on colonoscopy—the predominant screening test in the US—has not been fully examined. We performed a systematic review and meta-analysis to assess the effect of behavioral interventions on screening colonoscopy uptake.METHODS:We searched PubMed, EMBASE, and Cochrane databases through June 2018 for controlled trials that assessed the effect of behavioral interventions on screening colonoscopy rates. Our search yielded a total of 6,952 titles. All abstracts and articles were screened by at least two independent reviewers and 54 manuscripts were selected for review. Relative risk estimates were extracted from the original article or calculated from the raw data. The primary outcome was the relative increase in screening colonoscopy completion with any behavioral intervention. Subgroup analysis by type of intervention was also performed. Random effects meta-analysis was performed using Stata.RESULTS:A total of 21 studies with 24 behavioral interventions were analyzed. The most common interventions were patient navigation (n = 8), a combination of multiple interventions (n = 7), and educational interventions (n = 4). Overall, behavioral interventions increased colonoscopy completion by 58% compared to controls (OR 1.58, 95% CI 1.33-1.88, Figure). Patient navigation (OR 1.80, 95% CI 1.22-2.67) and multiple interventions (OR 1.70, 95% CI 1.15-2.50) had the strongest effect on colonoscopy completion. Significant heterogeneity was observed both overall and by intervention type, which may be attributed to differences in study setting and control group selection.CONCLUSION:Behavioral interventions increase screening colonoscopy completion and should be considered in clinical practice. In particular, patient navigation and multiple interventions are the best-studied and most effective interventions.

The multitarget stool DNA test with fecal immunochemical test (sDNA-FIT) is recommended by all major US guidelines as an option for colorectal cancer (CRC) screening. It is approved by the Food and Drug Administration for use in average-risk individuals aged 45 years and older. The sDNA-FIT tests for 11 biomarkers, including point mutations in KRAS, aberrant methylation in NDRG4 and BMP3, and human hemoglobin. Patients collect a stool sample at home, send it to the manufacturer’s laboratory within 1 day, and the result is reported in approximately 2 weeks. Compared to FIT, sDNA-FIT has higher sensitivity but lower specificity for CRC, which translates to a higher false-positive rate. A unique feature of sDNA-FIT is the manufacturer’s comprehensive patient navigation system, which operates 24 hours a day and provides active outreach for patient education and reminders in the first month after a test is ordered. Retesting is recommended every 1 to 3 years, although the optimal testing interval has not yet been determined empirically. The cost of sDNA-FIT is $681 without insurance, but Medicare and most private insurers cover it with no co-pay or deductible.

The multitarget stool DNA test with fecal immunochemical test (sDNA-FIT) is recommended by all major US guidelines as an option for colorectal cancer screening. It is approved by the Food and Drug Administration for use in average-risk individuals aged 45 years and older. The sDNA-FIT tests for 11 biomarkers, including point mutations in KRAS, aberrant methylation in NDRG4 and BMP3, and human hemoglobin. Patients collect a stool sample at home, send it to the manufacturer's laboratory within 1 day, and the result is reported in approximately 2 weeks. Compared with FIT, sDNA-FIT has higher sensitivity but lower specificity for colorectal cancer, which translates to a higher false-positive rate. A unique feature of sDNA-FIT is the manufacturer's comprehensive patient navigation system, which operates 24 hours a day and provides active outreach for patient education and reminders in the first month after a test is ordered. Retesting is recommended every 1-3 years, although the optimal testing interval has not yet been determined empirically. The cost of sDNA-FIT is $681 without insurance, but Medicare and most private insurers cover it with no copay or deductible.

While CA-125 is an FDA-approved biomarker used for monitoring ovarian cancer, levels can rise non-specifically in patients with non-cancerous conditions and stay within a normal range in the presence of persistent disease, making CA-125 inadequate for screening and surveillance. We have developed an efficient pipeline that identifies cancer-specific mutations in each patient’s tumor and monitors circulating tumor DNA (ctDNA) levels using droplet digital PCR. Using this platform, we tested and detected ctDNA in 11/12 patients with ovarian cancer. Undetectable levels of ctDNA post-treatment were associated with improved overall survival (p = 0.0179). In six patients, ctDNA levels were detectable prior to CA-125 levels rising above the threshold level of 35 U/ml, indicating that ctDNA has the potential to be a more sensitive and broadly applicable tumor marker for ovarian cancer than CA-125.

High-grade serous ovarian and endometrial cancers are the most lethal female reproductive tract malignancies worldwide. In part, failure to treat these two aggressive cancers successfully centers on the fact that while the majority of patients are diagnosed based on current surveillance strategies as having a complete clinical response to their primary therapy, nearly half will develop disease recurrence within 18 months and the majority will die from disease recurrence within 5 years. Moreover, no currently used biomarkers or imaging studies can predict outcome following initial treatment. Circulating tumor DNA (ctDNA) represents a theoretically powerful biomarker for detecting otherwise occult disease. We therefore explored the use of personalized ctDNA markers as both a surveillance and prognostic biomarker in gynecologic cancers and compared this to current FDA-approved surveillance tools. Tumor and serum samples were collected at time of surgery and then throughout treatment course for 44 patients with gynecologic cancers, representing 22 ovarian cancer cases, 17 uterine cancer cases, one peritoneal, three fallopian tube, and one patient with synchronous fallopian tube and uterine cancer. Patient/tumor-specific mutations were identified using whole-exome and targeted gene sequencing and ctDNA levels quantified using droplet digital PCR. CtDNA was detected in 93.8% of patients for whom probes were designed and levels were highly correlated with CA-125 serum and computed tomography (CT) scanning results. In six patients, ctDNA detected the presence of cancer even when CT scanning was negative and, on average, had a predictive lead time of seven months over CT imaging. Most notably, undetectable levels of ctDNA at six months following initial treatment was associated with markedly improved progression free and overall survival. Detection of residual disease in gynecologic, and indeed all cancers, represents a diagnostic dilemma and a potential critical inflection point in precision medicine. This study suggests that the use of personalized ctDNA biomarkers in gynecologic cancers can identify the presence of residual tumor while also more dynamically predicting response to treatment relative to currently used serum and imaging studies. Of particular interest, ctDNA was an independent predictor of survival in patients with ovarian and endometrial cancers. Earlier recognition of disease persistence and/or recurrence and the ability to stratify into better and worse outcome groups through ctDNA surveillance may open the window for improved survival and quality and life in these cancers.

High-grade serous ovarian and endometrial cancers are the most lethal female reproductive tract malignancies worldwide. In part, failure to treat these two aggressive cancers successfully centers on the fact that while the majority of patients are diagnosed based on current surveillance strategies as having a complete clinical response to their primary therapy, nearly half will develop disease recurrence within 18 months and the majority will die from disease recurrence within 5 years. Moreover, no currently used biomarkers or imaging studies can predict outcome following initial treatment. Circulating tumor DNA (ctDNA) represents a theoretically powerful biomarker for detecting otherwise occult disease. We therefore explored the use of personalized ctDNA markers as both a surveillance and prognostic biomarker in gynecologic cancers and compared this to current FDA-approved surveillance tools. Tumor and serum samples were collected at time of surgery and then throughout treatment course for 44 patients with gynecologic cancers, representing 22 ovarian cancer cases, 17 uterine cancer cases, one peritoneal, three fallopian tube, and one patient with synchronous fallopian tube and uterine cancer. Patient/tumor-specific mutations were identified using whole-exome and targeted gene sequencing and ctDNA levels quantified using droplet digital PCR. CtDNA was detected in 93.8% of patients for whom probes were designed and levels were highly correlated with CA-125 serum and computed tomography (CT) scanning results. In six patients, ctDNA detected the presence of cancer even when CT scanning was negative and, on average, had a predictive lead time of seven months over CT imaging. Most notably, undetectable levels of ctDNA at six months following initial treatment was associated with markedly improved progression free and overall survival. Detection of residual disease in gynecologic, and indeed all cancers, represents a diagnostic dilemma and a potential critical inflection point in precision medicine. This study suggests that the use of personalized ctDNA biomarkers in gynecologic cancers can identify the presence of residual tumor while also more dynamically predicting response to treatment relative to currently used serum and imaging studies. Of particular interest, ctDNA was an independent predictor of survival in patients with ovarian and endometrial cancers. Earlier recognition of disease persistence and/or recurrence and the ability to stratify into better and worse outcome groups through ctDNA surveillance may open the window for improved survival and quality and life in these cancers.

Background High-grade serous ovarian and endometrial cancers are the most lethal female reproductive tract malignancies worldwide. In part, failure to treat these two aggressive cancers successfully centers on the fact that while the majority of patients are diagnosed based on current surveillance strategies as having a complete clinical response to their primary therapy, nearly half will develop disease recurrence within 18 months and the majority will die from disease recurrence within 5 years. Moreover, no currently used biomarkers or imaging studies can predict outcome following initial treatment. Circulating tumor DNA (ctDNA) represents a theoretically powerful biomarker for detecting otherwise occult disease. We therefore explored the use of personalized ctDNA markers as both a surveillance and prognostic biomarker in gynecologic cancers and compared this to current FDA-approved surveillance tools. Methods and Findings Tumor and serum samples were collected at time of surgery and then throughout treatment course for 44 patients with gynecologic cancers, representing 22 ovarian cancer cases, 17 uterine cancer cases, one peritoneal, three fallopian tube, and one patient with synchronous fallopian tube and uterine cancer. Patient/tumor-specific mutations were identified using whole-exome and targeted gene sequencing and ctDNA levels quantified using droplet digital PCR. CtDNA was detected in 93.8% of patients for whom probes were designed and levels were highly correlated with CA-125 serum and computed tomography (CT) scanning results. In six patients, ctDNA detected the presence of cancer even when CT scanning was negative and, on average, had a predictive lead time of seven months over CT imaging. Most notably, undetectable levels of ctDNA at six months following initial treatment was associated with markedly improved progression free and overall survival. Conclusions Detection of residual disease in gynecologic, and indeed all cancers, represents a diagnostic dilemma and a potential critical inflection point in precision medicine. This study suggests that the use of personalized ctDNA biomarkers in gynecologic cancers can identify the presence of residual tumor while also more dynamically predicting response to treatment relative to currently used serum and imaging studies. Of particular interest, ctDNA was an independent predictor of survival in patients with ovarian and endometrial cancers. Earlier recognition of disease persistence and/or recurrence and the ability to stratify into better and worse outcome groups through ctDNA surveillance may open the window for improved survival and quality and life in these cancers.