Approach For Cancer Screening Research Articles

Utilization of molecular genetic approaches for colorectal cancer screening

The feasibility of population screening for colorectal cancer has been demonstrated in several studies. Most of these studies have considered individual characteristics, diagnostic approaches, epidemiological data, and socioeconomic factors. In this article, we comment on an editorial by Metaxas et al published in the recent issue of the journal. The authors emphasized the need to raise public awareness through health education programs and the possibility of using easily accessible non-invasive screening methods. Here, we focus on non-invasive molecular genetic approaches that can aid in colorectal cancer screening. On the one hand, we highlighted the use of tumor DNA/RNA markers directly for screening and, on the other hand, underline the use of polygenic risk assessment and hereditary predisposition to select individuals for more thorough cancer screening.

Apo10 and TKTL1 in blood macrophages as potential biomarkers for early diagnosis of operable breast cancer.

Blood macrophage Apo10 and TKTL1 detection is a novel, noninvasive cancer screening approach, but its relevance in breast cancer remains uncertain. We compared the potential diagnostic value of Apo10 and TKTL1 with commonly used tumor markers indifferentiating breast cancer patients. Physical examination and blood sample data from breast cancer patients who did not receive surgery or chemotherapy (retrospective; breast cancer group) and those with benign breast nodules and completely healthy subjects (prospective; control group) were collected from October 2020 to July 2022 at Sun Yat-sen University. Descriptive statistics and receiver operating characteristic (ROC) curves were generated. The area under the ROC curve (AUROC) was calculated to compare the diagnostic efficiency of Apo10 and TKTL1 with conventional biomarkers (carcinoembryonic antigen [CEA], cancer antigens [CA-125, CA-199, CA-153]) in differentiating breast cancer from healthy breasts and benign breast nodules. From October 2020 to July 2022, 153 breast cancer patients (primarily early-stage disease: n = 113 (73.9%) stage I/II)and 153 control participants (benign breast nodules, n = 56; healthy, n = 97) were included in this study. The breast cancer subtypes were mainly invasive ductal carcinoma (92.8%), with a few cases of DCIS (5.9%), infiltrating lobular carcinoma (0.7%), and mucinous carcinoma (0.7%). Notably, Apo10, TKTL1, and Apo10 + TKTL1 (APT) levels were significantly greater in the cancer group than in the control group (P < 0.001), demonstrating high diagnostic value (AUC = 0.901, 0.871, 0.938) that surpassed CA-125, CA-199, CA-153, and CEA. In a subgroup analysis excluding stage III patients, APT-based breast cancer screening was minimally affected, with the AUROC (0.933-0.938) varying by ≤ 1%. Compared with conventional biomarkers, Apo10, TKTL1, andAPT showed superior early-stage breast cancer screening efficacy, potentially emerging as a promising marker for discriminating breast cancer from healthy breasts and nontumoral lesions.

The 14-bp insertion/deletion as a promising gene polymorphism to understand cancer risk: Evidence from a systematic review and comprehensive meta-analysis

BackgroundHLA-G is associated with cancer cell escape. The 3′UTR polymorphism is involved in the regulation of membrane-bound HLA-G and soluble HLA-G proteins. The aim of our study was to assess the association of the HLA-G 14-bp insertion (I)/deletion (D) polymorphism with cancer susceptibility and its interaction with clinicopathological features and environmental factors. MethodsA meta-analysis was performed to investigate the association between the HLA-G 14-bp I/D polymorphism and different types of cancers according to the Prisma guidelines. ResultsThirty-nine publications that studied the 14-bp I/D polymorphism in cancers met our inclusion criteria. The findings of the meta-analysis showed a significant association between the 14-bp I/D polymorphism and cancer risk under the allelic contrast model D vs. I (OR = 1,112, 95 % CI = 1,009–1,227; P = 0,033) suggesting that the D allele was a risk factor for cancer susceptibility. Stratification by cancer type demonstrated a significant association of the 14-bp I/D polymorphism with breast cancer under the D vs. I contrast allele model (OR = 1,267, 95 % CI = 1,028–1,563; P = 0,027). No significant association was found for digestive, cervical, haematological and thyroid cancers. A comparison of groups stratified by ethnicity showed a significant association for Caucasians under the D vs. I model (OR = 1,147, 95 % CI = 1,002–1,313; P = 0,047); and for mixed ethnicities under the DD + DI vs. II (OR = 1,388, 95 % CI = 1,083–1,780; P = 0,010) and DI vs. II (OR = 1,402, 95 % CI = 1,077–1,824; P = 0,012) models. A comparison of cancer risks associated with the 14-bp I/D polymorphism according to geographic location revealed significant risks for the D allele and DD genotype in North Africa, the Middle East and South America. However, no significant susceptibility to cancer associated with the 14-bp I/D polymorphism was shown for Europe and North Asia. The findings of a meta-analysis of subgroups by disease stage showed a significant association in both early and advanced stages, with the 14-bp deletion variant being a risk factor. Similarly, a significant cancer risk was shown for the 14-bp deletion variant in both low- and high-grade cancers. Finally, the risk associated with the 14-bp I/D polymorphism was higher in cancers with concomitant viral infection with human papillomavirus (HPV), hepatitis B virus (HBV) or hepatitis C virus (HCV). ConclusionThe findings of the overall meta-analysis showed a significant association between the HLA-G 14-bp I/D polymorphism and cancer susceptibility. The findings stratified analysis and subgroup comparisons showed that the 14-bp I/D deletion variant was associated with an increased risk of breast cancer. The HLA-G 14-bp I/D polymorphism may interact with individual and clinicopathological factors to alter cancer risk. These promising findings for cancer risk provide the basis for further studies that explore 14bp I/D polymorphism in cancer screening and immunotherapeutic approach.

Systematic review of cost-effectiveness studies on cervical cancer screening across Europe

IntroductionCervical cancer (CC) is a type of cancer with poor prognosis when diagnosed in advanced stage with a big socioeconomic burden. The incidence rates have wide variations among European countries depending on the implementation or not of screening, vaccination programs and the human development index (HDI). Most studies on cost-effectiveness of CC screening programs are carried out in countries with a high HDI, however more recent reviews of screening approaches are coming from countries with lower HDI aiming to identify the best screening strategies. Our study aims to identify which are the currently applied and most cost-effective strategies of CC screening in Europe. Materials and methodsThis is a systematic review conducted in three different databases (PubMed, Scopus and ScienceDirect) and reported following the PRISMA guidelines. General key terms for all databases were the following: cost-effectiveness, cervical cancer, screening, Europe. We included studies in English, Italian, Spanish and Bulgarian, published in the last 25 years, reporting data on cost-effectiveness of CC screening, costs and outcome measures. The methodological quality of the articles was evaluated with a standardized tool. ResultsA total of 262 studies were identified and 22 studies were included in the final analysis. In 90.1 % of the economic studies, the new screening strategy was shown to be more cost-effective compared to the current one or compared to no screening. The optimal strategy mostly involved primary HPV testing, combined with cytology or as stand-alone screening technique. Several scenarios differing on starting age and periodicities for CC screening, combination of techniques and triage, were found to be cost-effective and below the willingness to pay (WTP) threshold. The methodology of all included studies was assessed from 10 to 11 on the JBI standardized tool and Drummond 11-point checklist. ConclusionNumerous cost-effective options for CC screening in different European countries were identified in this systematic review. HPV testing, with or without cytology, mainly starting at 30 years of age and repeated every 5 years or more was the most cost-effective technique. Future studies should focus on the most appropriate CC screening approach for each context and setting, also considering HPV vaccination in Europe.

Early detection of ovarian cancer using cell-free DNA fragmentomes and protein biomarkers.

Ovarian cancer is a leading cause of death for women worldwide in part due to ineffective screening methods. In this study, we used whole-genome cell-free DNA (cfDNA) fragmentome and protein biomarker (CA-125 and HE4) analyses to evaluate 591 women with ovarian cancer, benign adnexal masses, or without ovarian lesions. Using a machine learning model with the combined features, we detected ovarian cancer with specificity >99% and sensitivity of 72%, 69%, 87%, and 100% for stages I-IV, respectively. At the same specificity, CA-125 alone detected 34%, 62%, 63%, and 100% of ovarian cancers for stages I-IV. Our approach differentiated benign masses from ovarian cancers with high accuracy (AUC=0.88, 95% CI=0.83-0.92). These results were validated in an independent population. These findings show that integrated cfDNA fragmentome and protein analyses detect ovarian cancers with high performance, enabling a new accessible approach for noninvasive ovarian cancer screening and diagnostic evaluation.

Early Detection of Ovarian Cancer May be Possible with Combination of Artificial Intelligence and Liquid Biopsies

A liquid biopsy - a blood test - in combination with machine learning/artificial intelligence (AI) to detect and analyze distinctive tumor components, cancer-related genetic changes, and protein biomarkers released into the peripheral circulation, could help screen women for early signs of ovarian cancer, enabling a new accessible approach for non-invasive ovarian cancer screening and diagnostic evaluation.

Abstract A144: Insight into cervical cancer screening and HPV self-sampling among Vietnamese immigrants in Southern California

Abstract Background: Screening can effectively identify precancerous lesions for early treatment to prevent cervical cancer. However, only 69% of Vietnamese immigrants in the U.S. reported screening in the past 3 years compared to 84% of non-Hispanic White women. Human papillomavirus (HPV) self-sampling is a novel cervical cancer screening approach that does not require women to visit healthcare providers and has been shown to increase screening uptake in several minority populations. Understanding the attitudes towards cervical cancer screening, including HPV self-sampling, among Vietnamese immigrants could inform strategies to improve their screening rates. Methods: We conducted two online semi-structured focus groups with a total of nine Vietnam-born women aged 50-65 living in Southern California, which has the largest Vietnamese community outside of Vietnam, to understand their awareness of, attitudes towards, and experiences with cervical cancer screening. Participants also watched two short videos on two cervical cancer screening methods (Papanicolaou "Pap" test and HPV self-sampling) and shared their thoughts on each method. Each focus group was recorded, transcribed, translated into English, and coded and analyzed using NVivo 14. Results: Three main themes emerged from the focus groups. First, participants showed a strong acceptance of cervical cancer screening despite poor knowledge of the disease and its prevention as well as logistic and psychosocial barriers associated with visiting healthcare providers for screening. Second, participants found HPV self-sampling to be highly acceptable, mentioning advantages like its convenience and the lack of embarrassment compared to visiting healthcare providers. However, there were some concerns regarding the mailing of the self-collected samples and the cost of the test. Third, participants described circumstances that may be immigrant-specific, such as a shift from making gynecologic appointments themselves in Vietnam to relying on family doctors as gatekeepers for such appointments in the U.S., a strong preference for Vietnamese- speaking providers, and the use of English as a Second Language (ESL) centers, community organizations, radio stations, and newspapers targeting Vietnamese communities to obtain healthcare information. Conclusions: HPV self-sampling has the potential to improve cervical cancer screening uptake in Vietnamese immigrants since it can overcome barriers associated with visiting healthcare providers for a Pap test. Education campaigns are needed to increase awareness of cervical cancer screening and address concerns related to HPV self-sampling. Engagement with healthcare providers, organizations, and media channels that serve Vietnamese communities may be effective since Vietnamese immigrants often receive health-related information from these sources. It is necessary to explore the perceptions of younger immigrants and U.S.-born Vietnamese women to inform efforts that can improve screening uptake in all Vietnamese women; focus groups and interviews of these women are underway. Citation Format: Minh T. Phung, Ivy Nguyen, Bethany Nguyen, Hailey Nguyen, Becky Nguyen, Dung Hua, Celeste L. Pearce, Alice W. Lee. Insight into cervical cancer screening and HPV self-sampling among Vietnamese immigrants in Southern California [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A144.

Evaluating Real World Health System Resource Utilization and Costs for a Risk-Based Breast Cancer Screening Approach in the Canadian PERSPECTIVE Integration and Implementation Project.

A prospective cohort study was undertaken within the PERSPECTIVE I&I project to evaluate healthcare resource utilization and costs associated with breast cancer risk assessment and screening and overall costs stratified by risk level, in Ontario, Canada. From July 2019 to December 2022, 1997 females aged 50 to 70 years consented to risk assessment and received their breast cancer risk level and personalized screening action plan in Ontario. The mean costs for risk-stratified screening-related activities included risk assessment, screening and diagnostic costs. The GETCOST macro from the Institute of Clinical Evaluative Sciences (ICES) assessed the mean overall healthcare system costs. For the 1997 participants, 83.3%, 14.4% and 2.3% were estimated to be average, higher than average, and high risk, respectively (median age (IQR): 60 [56-64] years). Stratification into the three risk levels was determined using the validated multifactorial CanRisk prediction tool that includes family history information, a polygenic risk score (PRS), breast density and established lifestyle/hormonal risk factors. The mean number of genetic counseling visits, mammograms and MRIs per individual increased with risk level. High-risk participants incurred the highest overall mean risk-stratified screening-related costs in 2022 CAD (±SD) at CAD 905 (±269) followed by CAD 580 (±192) and CAD 521 (±163) for higher-than-average and average-risk participants, respectively. Among the breast screening-related costs, the greatest cost burden across all risk groups was the risk assessment cost, followed by total diagnostic and screening costs. The mean overall healthcare cost per participant (±SD) was the highest for the average risk participants with CAD 6311 (±19,641), followed by higher than average risk with CAD 5391 (±8325) and high risk with CAD 5169 (±7676). Although high-risk participants incurred the highest risk-stratified screening-related costs, their costs for overall healthcare utilization costs were similar to other risk levels. Our study underscored the importance of integrating risk stratification as part of the screening pathway to support breast cancer detection at an earlier and more treatable stage, thereby reducing costs and the overall burden on the healthcare system.

Prospect of large language models and natural language processing for lung cancer diagnosis: A systematic review

AbstractLung cancer, a leading cause of global mortality, demands a combat for its effective prevention, early diagnosis, and advanced treatment methods. Traditional diagnostic methods face limitations in accuracy and efficiency, necessitating innovative solutions. Large Language Models (LLMs) and Natural Language Processing (NLP) offer promising avenues for overcoming these challenges by providing comprehensive insights into medical data and personalizing treatment plans. This systematic review explores the transformative potential of LLMs and NLP in automating lung cancer diagnosis. It evaluates their applications, particularly in medical imaging and the interpretation of complex medical data, and assesses achievements and associated challenges. Emphasizing the critical role of Artificial Intelligence (AI) in medical imaging, the review highlights advancements in lung cancer screening and deep learning approaches. Furthermore, it underscores the importance of on‐going advancements in diagnostic methods and encourages further exploration in this field.

Prostate cancer screening? Only evidence-based, risk-adjusted, and organized!

In view of arecent recommendation of the European Commission to conceptualize novel screening approaches for lung, gastric, and prostate cancer, Germany is also invoked to revise its prostate early detection program. This discussion article provides an overview of new findings on prostate cancer screening, which suggest an organized and risk-adapted screening approach. Based on the German risk-adapted screening trial PROBASE, together with recently published data on organized screening programs in Europe, model projects should be established to determine the specific modalities for anew organized and risk-adapted prostate cancer screening program.

Innovative infrared imaging approach for breast cancer screening: Integrating rotational thermography and machine learning analysis

This paper presents a novel approach to breast cancer screening using infrared (IR) imaging. This work encompasses four phases: Refining data collection, advancing analysis methods, and enhancing feature extraction with machine learning. The developed system employed a temperature-controlled chamber with rotational thermography techniques to maintain consistent temperatures and capture high-quality IR images and all possible subject views. The paper describes four key experiments to detect breast cancer using IR imaging. The experiments involved the use of dynamic temperature-based data collection and a semi-circular arc movement to ensure precise imaging, keeping the object in focus. Initial experiments involved the use of dynamic temperature-based data collection and a semi-circular arc movement to ensure precise imaging focus. The final experiment incorporated a semi-circular arc movement. For each subject, 32 thermal IR images were acquired, targeting one breast at a time while isolating the other with an IR-proof barrier. The collected datasets were used for breast abnormality detection. The analyzed results revealed that support vector machine and neural network algorithms achieved an accuracy rate of 93.18%. The system&amp;rsquo;s installation at a hospital in India allowed for real-world application and validation. The final study, which introduced a new IR imaging protocol, demonstrated improved results compared to earlier pilot studies. This method enhances the accuracy of distinguishing malignant and benign tumors, supporting early breast cancer detection and treatment. The proposed methodology addresses data collection and analysis challenges, leading to improved screening efficiency and better patient outcomes.

Breast Cancer Screening With Automated Breast US and Mammography vs Handheld US and Mammography in Women With Dense Breasts in a Real-World Clinical Setting.

We compared the performance of 2 breast cancer screening approaches, automated breast US (ABUS) with same-day mammography (ABUS/MG) and handheld US (HHUS) with same-day mammography (HHUS/MG), in women with dense breasts to better understand the relative usefulness of ABUS and HHUS in a real-world clinical setting. In this institutional review board-approved, retrospective observational study, we evaluated all ABUS/MG and HHUS/MG screening examinations performed at our institution from May 2013 to September 2021. BI-RADS categories, biopsy pathology results, and diagnostic test characteristics (eg, sensitivity, specificity) were compared between the 2 screening approaches using Fisher's exact test. A total of 1120 women with dense breasts were included in this study, with 852 undergoing ABUS/MG and 268 undergoing HHUS/MG. The sensitivities of ABUS/MG and HHUS/MG were 100% (5/5) and 75.0% (3/4), respectively, which was not a statistically significant difference (P = .444). The ABUS/MG approach demonstrated a slightly higher specificity (97.4% [825/847] vs 94.3% [249/264]; P = .028), higher accuracy (97.4% [830/852] vs 94.0% [252/268]; P = .011), and lower biopsy recommendation rate (3.2% [27/852] vs 6.7% [18/268]; P = .019) than the HHUS/MG approach in our patient population. Our findings suggest that ABUS/MG performs comparably with HHUS/MG as a breast cancer screening approach in women with dense breasts in a real-world clinical setting, with the ABUS/MG approach demonstrating a similar sensitivity and slightly higher specificity than the HHUS/MG approach. Additional variables, such as patient experience and physician time, may help determine which imaging approach to employ in specific clinical settings.

Enhancing registration precision of multispectral breast images by fusing multi-wavelength information based on an improved gradient descent method

Multispectral transmission imaging is widely recognized as a developmental approach for early breast cancer screening. However, a persistent challenge exists in image registration, particularly in processing human images, where registration often relies solely on single-wavelength information, leading to inadequate accuracy. This paper purposes a novel image registration method that involves summing pixel values from three color channels at identical pixel coordinates and utilizes an improved gradient descent algorithm to achieve image registration. Multispectral maps at wavelengths of 445 nm, 520 nm, and 620 nm serve as examples for testing and evaluation, with frames summed for registered images at each wavelength. Experimental results demonstrate the superior registration accuracy of this method compared to registering images of a single-wavelength independently. This advancement enhances the accuracy and reliability of multispectral transmission imaging in the early detection of breast cancer.

A novel multi-cancer screening approach based on screening objectives, cancer occurrence mechanism, and cost modeling.

e22509 Background: The current cancer screening approach is relatively expensive and unable to cover all general population. Certain amount of information collected is possibly “overkill” at the expense of costs and technology complexity as statistically only 2-3 individuals in very one thousand individuals have cancer. We propose a novel multi-cancer screening for general population which is based on initial screening objectives, new cancer occurrence mechanism, and cost model. Since the step following cancer screening is cancer diagnosis in which significant tests will be carried out, we strongly believe that cancer screening should mainly focus on (1) separating high cancer risk individuals from low risk group, and (2) reduce screening costs and make screening available for everyone. Methods: We analyzed our own large size, multi-year, multi-cancer data as well as other reported studies. We have also studied new cancer occurrence mechanisms developed in recent years which included correlations between immune system and micro- environment change in human body (both of which could occur before the tumor is formed) and cancer occurrence. Finally, we have analyzed cost numbers for the new and traditional approaches. Results: In our extensive multi-year, multi-cancer general population screening of over 200,000 individuals and follow-up study, only 1.4% tested classified as high risk individuals, while this small group accounted for close to 92% of all cancer cases confirmed to date in the follow-up study when enrollment is normalize for all groups. This is very significant because this demonstrates that as long as screening is statistically meaningful and effective, a lot other information is not needed in screening as high risk people will undergo diagnosis anyway. The new screening approach does not require to obtain full information (for example, traceability (cancer location information), as over 98% of people do not likely have cancer) in order to reduce screening costs. The cost analysis results are shown in Table 1. Conclusions: We proposed a new cancer screening approach which is much more cost effective while it is still workable and meets screening objectives. [Table: see text]

Internal validation of Automated Visual Evaluation (AVE) on smartphone images for cervical cancer screening in a prospective study in Zambia.

Visual inspection with acetic acid (VIA) is a low-cost approach for cervical cancer screening used in most low- and middle-income countries (LMICs) but, similar to other visual tests, is subjective and requires sustained training and quality assurance. We developed, trained, and validated an artificial-intelligence-based "Automated Visual Evaluation" (AVE) tool that can be adapted to run on smartphones to assess smartphone-captured images of the cervix and identify precancerous lesions, helping augment VIA performance. Prospective study. Eight public health facilities in Zambia. A total of 8204 women aged 25-55. Cervical images captured on commonly used low-cost smartphone models were matched with key clinical information including human immunodeficiency virus (HIV) and human papillomavirus (HPV) status, plus histopathology analysis (where applicable), to develop and train an AVE algorithm and evaluate its performance for use as a primary screen and triage test for women who are HPV positive. Area under the receiver operating curve (AUC); sensitivity; specificity. As a general population screening tool for cervical precancerous lesions, AVE identified cases of cervical precancerous and cancerous (CIN2+) lesions with high performance (AUC = 0.91, 95% confidence interval [CI] = 0.89-0.93), which translates to a sensitivity of 85% (95% CI = 81%-90%) and specificity of 86% (95% CI = 84%-88%) based on maximizing the Youden's index. This represents a considerable improvement over naked eye VIA, which as per a meta-analysis by the World Health Organization (WHO) has a sensitivity of 66% and specificity of 87%. For women living with HIV, the AUC of AVE was 0.91 (95% CI = 0.88-0.93), and among those testing positive for high-risk HPV types, the AUC was 0.87 (95% CI = 0.83-0.91). These results demonstrate the feasibility of utilizing AVE on images captured using a commonly available smartphone by nurses in a screening program, and support our ongoing efforts for moving to more broadly evaluate AVE for its clinical sensitivity, specificity, feasibility, and acceptability across a wider range of settings. Limitations of this study include potential inflation of performance estimates due to verification bias (as biopsies were only obtained from participants with visible aceto-white cervical lesions) and due to this being an internal validation (the test data, while independent from that used to develop the algorithm was drawn from the same study).

Significant results from a major multi-year, multi-cancer follow-up study with an enrollment of over 19,000 individuals.

10539 Background: Multi-cancer screening has become a major approach for early stage cancer screening and prevention. However, there has been very few reported multi-year, multi-cancer follow-up studies to validate the effectiveness of multi-cancer screening. We report a number of significant, major findings from what we believe the first large scale, multi-year, multi-cancer follow-up study. Methods: In this study, cancer differentiation analysis (CDA) technology, a bio-physics based detection platform, has been used to screen over 200,000 individuals in a general population. Based on the CDA test values, individuals have been classified into high risk, medium risk and low risk (for cancer) groups. Up to January 31, 2024, a total of 19,141 individuals have been enrolled, with 1,122 in high risk, 15,784 in medium risk, and 2,235 in low risk group. In this follow-up study, enrolled individuals were initially contacted within 6 months (high risk individuals were contacted within 15 days after the test report became available) and subsequently on an annual basis, and their health conditions were recorded. Results: Up to January 31, 2024, 256 individuals have been confirmed with cancer, 1,607 confirmed with pre-cancer diseases and benign tumors, and finally, 1,378 confirmed with diseases. When enrollment is normalized (number of individuals enrolled into each group is equal), for confirmed cancer group, 91.4% is in high risk group, 7.5% in medium risk group and only 1.1% in low risk group. The above result is very significant, indicating that multi-cancer screening using CDA technology is very effective. As shown, there are 23 types of cancer (Table). There are close to 30 types of pre-cancer diseases and benign tumors confirmed. Above results showed that CDA technology is indeed very effective in screening out multiple cancer types (including some cancer types which do not yet have other effective IVD tests such as thyroid cancer and esophageal cancer). The results also show that this approach is very helpful for cancer prevention as it screened out large number of pre-cancer diseases and benign tumor types. Conclusions: A large scale, multi-year, multi-cancer follow-up study has been carried out. Results showed that CDA technology is effective for multi-cancer screening in a general population.[Table: see text]

Association of a polygenic risk score with risk of abnormal ultrasound findings and ovarian cancer in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial.

10542 Background: Several susceptibility loci have been identified in genome-wide association studies (GWAS) of single nucleotide polymorphisms (SNPs) that are associated with ovarian cancers. Polygenic risk scores (PRS) combining certain loci have shown limited performance at predicting ovarian cancer risk. However, the utilization of PRS with ovarian cancer screening tests, like transvaginal ultrasound (TVU), warrants further evaluation. This study investigated the association between a polygenic risk score and ovarian cancer risk and abnormal TVU screening in a large-scale randomized controlled ovarian cancer screening trial. Methods: A polygenic risk score was constructed using weighted sums of risk alleles of 15 ovarian cancer SNPs identified in previous GWAS to evaluate the association with abnormal TVU screening results and ovarian cancer outcomes in female participants of the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. Complete genotyping information, TVU results, and ovarian cancer outcomes were available for 15722 females (mean age 62.2 years +/- 5.3) with European ancestry, including 116 ovarian cancer cases. Abnormal TVU was defined as ovarian volume or cyst volume &gt; 10 cm3, any solid/cystic component within a cystic ovarian tumor, or any solid area or papillary projection extending into the cavity of a cystic ovarian tumor. Polygenic risk scores were categorized as quartiles and odds ratios (OR) were calculated to assess risk of ovarian cancer or abnormal TVU result using the lowest PRS quartile as reference category. Results: TVU screening results were abnormal for 732 (732/15722, 4.66%) participants and normal for 14990 (14990/15722, 95.3%) participants at trial baseline. PRS within the fourth quartile demonstrated increased risk of ovarian cancer with reference to the lowest quartile (OR 1.77, 95% confidence interval: 1.04-3.08). Similarly, women in the highest quartile of the PRS had increased odds of an abnormal TVU screening result (OR 1.46, 95% confidence interval: 1.17-1.83) compared to women in the lowest PRS quartile. Conclusions: A polygenic risk score including 15 loci previously shown to be associated with ovarian cancer risk showed an association with increased ovarian cancer risk in the PLCO trial. Furthermore, the PRS was also associated with abnormal ultrasound results. Our findings support further evaluation of polygenic risk scores and transvaginal ultrasound for ovarian cancer risk stratification and screening approaches.

Economic consequences of the implementation of primary DNA-HPV genotype testing in Bulgaria

There is a global call for action for cervical cancer elimination as a public health problem—WHO Strategy 90-70-90. One of the strategic pillars, alongside vaccination, is cervical cancer screening. This aims to assess the economic consequences and cost-effectiveness of primary DNA-HPV testing for cervical cancer screening in Bulgaria. Combined cost-effectiveness (CEA) and cost-benefit (CBA) analysis was performed to evaluate the net benefit of the HPV genotype testing program among women aged 30–54 in Bulgaria and to compare its cost-effectiveness with the current practice. ICER was presented separately for only direct costs and direct + indirect costs. The CBA analysis for the age group 30-54 shows that the benefit/cost ratio of DNA-HPV primary screening is 1.03 and the net present benefit accounts for 373,023 euro thus making the program beneficial for the healthcare system. CEA shows that HPV screening is cost-effective over the current practice of PAP testing with ICER 1634 euro/LYG when considering only direct costs and—8020 euro/LYG for direct and indirect costs. The ICER in terms of the sensitivity rate of the testing methods is 1316 euros. The LYG earned with the HPV testing account for 4989 for the observed women. Primary hrHPVDNA-based screening is an important scientific and clinical advance since it offers better reassurance of low cancer risk compared to cytology-only screening conducted at the same interval. Primary hrHPV screening can be considered as a dominant alternative to current cytology-based cervical cancer screening approaches including cytology alone and contesting and providing better benefit.

Comparison of Knowledge, Attitude, and Practices of Nursing Staff Regarding Cervical Cancer Screening at Various Levels of Health Care Facilities in Western India.

Cervical cancer is a public health problem, and nursing personnel are crucial for successful implementation of low-cost cervical cancer screening approaches in low-resource settings. The following study assessed and compared the knowledge, attitude, and practices regarding cervical cancer and its screening among female nursing staff at different levels of health care facilities in western Rajasthan, India. An anonymous pre-validated, structured questionnaire was used as the study tool among 233 female nursing personnel of primary, secondary, and tertiary care health facilities. Multiple logistic regression was performed to determine the association between level of knowledge with level of health care and other demographic variables. The nursing staff of the tertiary care health facility demonstrated significantly higher knowledge compared to those working at primary and secondary levels [adjusted odds ratio (95% confidence interval) 11.01 (3.80-32.40)]. At tertiary care, the practices of the nursing professionals were not found significantly associated with any socio-demographic variable including age, marital status, or level of health care facility. The overall knowledge of cervical cancer was poor, especially among staff nurses at primary and secondary levels of health care. In order to implement a successful population-based screening program in India, it is important to update the nursing curriculum and start in-service trainings at primary and secondary levels of health care facilities.

Biomarker vs MRI-Enhanced Strategies for Prostate Cancer Screening

Prostate cancer guidelines often recommend obtaining magnetic resonance imaging (MRI) before a biopsy, yet MRI access is limited. To date, no randomized clinical trial has compared the use of novel biomarkers for risk estimation vs MRI-based diagnostic approaches for prostate cancer screening. To evaluate biomarker-based risk estimation (Stockholm3 risk scores or prostate-specific antigen [PSA] levels) with systematic biopsies vs an MRI-enhanced strategy (PSA levels and MRI with systematic and targeted biopsy) for the detection of clinically significant prostate cancer in a screening setting. This open-label randomized clinical trial conducted in Stockholm, Sweden, between April 4, 2018, and December 10, 2020, recruited men aged 50 to 74 years with no history of prostate cancer. Participants underwent blood sampling for PSA and Stockholm3 tests to estimate their risk of clinically significant prostate cancer (Gleason score ≥3 + 4). After the blood tests were performed, participants were randomly assigned in a 2:3 ratio to receive a Stockholm3 test with systematic biopsy (biomarker group) or a PSA test followed by MRI with systematic and targeted biopsy (MRI-enhanced group). Data were analyzed from September 1 to November 5, 2023. In the biomarker group, men with a Stockholm3 risk score of 0.15 or higher underwent systematic biopsies. In the MRI-enhanced group, men with a PSA level of 3 ng/mL or higher had an MRI and those with a Prostate Imaging-Reporting and Data System (PI-RADS) score of 3 or higher (range: 1-5, with higher scores indicating a higher likelihood of clinically significant prostate cancer) underwent targeted and systematic biopsies. Primary outcome was detection of clinically significant prostate cancer (Gleason score ≥3 + 4). Secondary outcomes included detection of clinically insignificant cancer (Gleason score ≤6) and the number of biopsy procedures performed. Of 12 743 male participants (median [IQR] age, 61 [55-67] years), 5134 were assigned to the biomarker group and 7609 to the MRI-enhanced group. In the biomarker group, 8.0% of men (413) had Stockholm3 risk scores of 0.15 or higher and were referred for systematic biopsies. In the MRI-enhanced group, 12.2% of men (929) had a PSA level of 3 ng/mL or higher and were referred for MRI with biopsies if they had a PI-RADS score of 3 or higher. Detection rates of clinically significant prostate cancer were comparable between the 2 groups: 2.3% in the biomarker group and 2.5% in the MRI-enhanced group (relative proportion, 0.92; 95% CI, 0.73-1.15). More biopsies were performed in the biomarker group than in the MRI-enhanced group (326 of 5134 [6.3%] vs 338 of 7609 [4.4%]; relative proportion, 1.43 [95% CI, 1.23-1.66]), and more indolent prostate cancers were detected (61 [1.2%] vs 41 [0.5%]; relative proportion, 2.21 [95% CI, 1.49-3.27]). Findings of this randomized clinical trial indicate that combining a Stockholm3 test with systematic biopsies is comparable with MRI-based screening with PSA levels and systematic and targeted biopsies for detection of clinically significant prostate cancer, but this approach resulted in more biopsies as well as detection of a greater number of indolent cancers. In regions where access to MRI is lacking, the Stockholm3 test can aid in selecting patients for systematic prostate biopsy. ClinicalTrials.gov Identifier: NCT03377881.