Cancer screening in the United States, 2018: A review of current American Cancer Society guidelines and current issues in cancer screening

Global evolution of research on pulmonary nodules: a bibliometric analysis

Aim: To provide a historical and global picture of research concerning lung nodules, compare the contributions of major countries and explore research trends over the past 10 years. Methods: A bibliometric analysis of publications from Scopus (1970-2020) and Web of Science (2011-2020). Results: Publications about pulmonary nodules showed an enormous growth trend from 1970 to 2020. There is a high level of collaboration among the 20 most productive countries and regions, with the USA located at the center of the collaboration network. The keywords 'deep learning', 'artificial intelligence' and 'machine learning' are current hotspots. Conclusions: Abundant research has focused on pulmonary nodules. Deep learning is emerging as a promising tool for lung cancer diagnosis and management.

Phosphatidylserine-exposing tumor-derived microparticles exacerbate coagulation and cancer cell transendothelial migration in triple-negative breast cancer

Background: Neoadjuvant chemotherapy is relevant to the formation of thromboembolism and secondary neoplasms in triple-negative breast cancer (TNBC). Chemotherapy-induced breast cancer cell-derived microparticles (BCMPs) may have important thrombogenic and pro-metastatic effects on platelets and endothelium, which may be related to the expression and distribution of phosphatidylserine (PS). However, investigating these interactions is challenging due to technical limitations. Methods: A study was conducted in 20 healthy individuals and 18 patients who had been recently diagnosed with TNBC and were undergoing neoadjuvant chemotherapy with doxorubicin and cyclophosphamide. BCMPs were isolated from patient blood samples and doxorubicin-treated breast cancer cell lines. Their structure and morphology were studied by electron microscopy and antigen levels were measured by fluorescence-activated cell sorting. In an inhibition assay, isolated BCMPs were pretreated with lactadherin or tissue factor antibodies. Platelets isolated from healthy subjects were treated with BCMPs and coagulation time, fibrin formation, and expression of intrinsic/extrinsic factor Xase (FXa) and thrombin were evaluated. The effects of BCMPs on endothelial thrombogenicity and integrity were assessed by confocal microscopy, electron microscopy, measurement of intrinsic/extrinsic FXa, prothrombinase assay, and transwell permeability assay. Results: Neoadjuvant chemotherapy significantly increased the expression of PS+ BCMPs in patient plasma. Its expression was associated with a rapid increase in procoagulant activity. Treatment with lactadherin, a PS-binding scavenging molecule, markedly reduced the adhesion of BCMPs and abolished their procoagulant activity, but this was not observed with tissue factor antibody treatment. Intravenous injection of BCMPs in mice induced a significant hypercoagulable state, reducing the extent of plasma fibrinogen and promoting the appearance of new thrombus. Cancer cells incubated with doxorubicin released large numbers of PS+ BCMPs, which stimulated and transformed endothelial cells into a procoagulant phenotype and increased the aggregation and activation of platelets. Moreover, cancer cells exploited this BCMP-induced endothelial leakiness and showed promoted metastasis. Pretreatment with lactadherin increased uptake of both PS+ BCMPs and cancer cells by endothelial cells and limited the transendothelial migration of cancer cells. Conclusion: Lactadherin, a biosensor that we developed, was used to study the extracellular vesicle distribution of PS, which revealed a novel PS+ BCMPs administrative axis that initiated a local coagulation cascade and facilitated metastatic colonization of circulating cancer cells.

Biomarkers for prostate cancer: prostate-specific antigen and beyond

In recent years, several new biomarkers supplementing the role of prostate-specific antigen (PSA) have become available for men with prostate cancer. Although widely used in an ad hoc manner, the role of PSA in screening asymptomatic men for prostate cancer is controversial. Several expert panels, however, have recently recommended limited PSA screening following informed consent in average-risk men, aged 55-69 years. As a screening test for prostate cancer however, PSA has limited specificity and leads to overdiagnosis which in turn results in overtreatment. To increase specificity and reduce the number of unnecessary biopsies, biomarkers such as percent free PSA, prostate health index (PHI) or the 4K score may be used, while Progensa PCA3 may be measured to reduce the number of repeat biopsies in men with a previously negative biopsy. In addition to its role in screening, PSA is also widely used in the management of patients with diagnosed prostate cancer such as in surveillance following diagnosis, monitoring response to therapy and in combination with both clinical and histological criteria in risk stratification for recurrence. For determining aggressiveness and predicting outcome, especially in low- or intermediate-risk men, tissue-based multigene tests such as Decipher, Oncotype DX (Prostate), Prolaris and ProMark, may be used. Emerging therapy predictive biomarkers include AR-V7 for predicting lack of response to specific anti-androgens (enzalutamide, abiraterone), BRAC1/2 mutations for predicting benefit from PARP inhibitor and PORTOS for predicting benefit from radiotherapy. With the increased availability of multiple biomarkers, personalised treatment for men with prostate cancer is finally on the horizon.

Cost-effectiveness of risk-based breast cancer screening: A systematic review

To analyse published evidence on the economic evaluation of risk-based screening (RBS), a full systematic literature review was conducted. After a quality appraisal, we compared the cost-effectiveness of risk-based strategies (low-risk, medium-risk and high-risk) with no screening and age-based screening. Studies were also analysed for modelling, risk stratification methods, input parameters, data sources and harms and benefits. The 10 modelling papers analysed were based on screening performance of film-based mammography (FBM) (three); digital mammography (DM) and FBM (two); DM alone (three); DM, ultrasound (US) and magnetic resonance imaging (one) and DM and US (one). Seven studies did not include the cost of risk-stratification, and one did not consider the cost of diagnosis. Disutility was incorporated in only six studies (one for screening and five for diagnosis). None of the studies reported disutility of risk-stratification (being considered as high-risk). Risk-stratification methods varied from only breast density (BD) to the combination of familial risk, genetic susceptibility, lifestyle, previous biopsies, Jewish ancestry and reproductive history. Less or no screening in low-risk women and more frequent mammography screening in high-risk women was more cost-effective compared to no screening and age-based screening. High-risk women screened annually yielded a higher mortality rate reduction and more quality-adjusted life years at the expense of higher cost and false positives. RBS can be cost effective compared to the alternatives. However, heterogeneity among risk-stratification methods, input parameters, and weaknesses in the methodologies hinder the derivation of robust conclusions. Therefore, further studies are warranted to assess newer technologies and innovative risk-stratification methods.

Learn to Threshold: ThresholdNet With Confidence-Guided Manifold Mixup for Polyp Segmentation

The automatic segmentation of polyp in endoscopy images is crucial for early diagnosis and cure of colorectal cancer. Existing deep learning-based methods for polyp segmentation, however, are inadequate due to the limited annotated dataset and the class imbalance problems. Moreover, these methods obtained the final polyp segmentation results by simply thresholding the likelihood maps at an eclectic and equivalent value (often set to 0.5). In this paper, we propose a novel ThresholdNet with a confidence-guided manifold mixup (CGMMix) data augmentation method, mainly for addressing the aforementioned issues in polyp segmentation. The CGMMix conducts manifold mixup at the image and feature levels, and adaptively lures the decision boundary away from the under-represented polyp class with the confidence guidance to alleviate the limited training dataset and the class imbalance problems. Two consistency regularizations, mixup feature map consistency (MFMC) loss and mixup confidence map consistency (MCMC) loss, are devised to exploit the consistent constraints in the training of the augmented mixup data. We then propose a two-branch approach, termed ThresholdNet, to collaborate the segmentation and threshold learning in an alternative training strategy. The threshold map supervision generator (TMSG) is embedded to provide supervision for the threshold map, thereby inducing better optimization of the threshold branch. As a consequence, ThresholdNet is able to calibrate the segmentation result with the learned threshold map. We illustrate the effectiveness of the proposed method on two polyp segmentation datasets, and our methods achieved the state-of-the-art result with 87.307% and 87.879% dice score on the EndoScene dataset and the WCE polyp dataset. The source code is available at https://github.com/Guo-Xiaoqing/ThresholdNet.

Outcomes in Renal Cell Carcinoma with Inferior Vena Cava Thrombus Treated with Surgery

Introduction. Renal cell carcinoma can invade through the renal vein into the inferior vena cava, and can extend intraluminally, with tumor-thrombus formation. Methods: Retrospective study from January 2003 to August 2016. Surgical outcomes were analyzed. Neves classification was used for patient categorization. Kaplan Meier and Log-Rank test were used for survival analysis. Results: A total of 134 patients were included, 69 males (51.4%) and 65 females (49%), M:F ratio 1.06:1. Tumor size, bleeding and surgical time were higher in level IV thrombi (mean 16.1cm, 3 064ml and 6.5hrs, respectively), compared to level I (8.5cm, 1033ml and 3.1hrs, respectively). A higher frequency of positive lymph nodes was observed in levels III and IV compared with levels I and II (49% vs. 17.7%, p=0.0001). Distant metastases were observed in 36 pts. (27%). Overall surgical mortality was 4.5%. 5-year overall survival was 63%. We observed a 5-year survival in patients with level I-II 82% and level III and IV 46%. Conclusions: Our results suggest the benefit for the patient of an aggressive surgical approach with an acceptable mortality and 5-year survival rate. The results obtained justify an aggressive surgical approach to these tumors.

Ultrasound-targeted microbubble destruction enhances the anti-tumor action of miR-4284 inhibitor in non-small cell lung cancer cells

MicroRNAs (miRNAs/miRs) are known to be involved in various human cancer types. Ultrasound-targeted microbubble destruction (UTMD) may improve the transfection efficiency of exogenous genes into target tissues and organs, thereby improving cancer treatment. In the present study, the role of miR-4284 in non-small cell lung cancer (NSCLC) was investigated and the effect of UTMD-mediated inhibition of miR-4284 on tumor progression was further analyzed. The expression of miR-4284 in NSCLC cells and tissues was detected by reverse transcription-quantitative PCR. UTMD-mediated inhibition of miR-4284 was achieved by co-transfection of microvesicles and miR-4284 inhibitors into NSCLC cells. A Cell Counting Kit-8 assay was used to determine NSCLC cell proliferation, and the migration and invasion of NSCLC cells were examined by Transwell assays. Compared with that in the control group, the expression of miR-4284 was increased in NSCLC tissues and cells. Knockdown of miR-4284 in NSCLC cells inhibited cell proliferation, migration and invasion. UTMD improved the transfection efficiency of miR-4284 inhibitors in NSCLC cells, resulting in more significant inhibition of tumor cell proliferation, migration and invasion. In conclusion, the results indicated that the expression of miR-4284 was increased in clinical samples and cell lines of NSCLC and that knockdown of miR-4284 inhibited the proliferation, migration and invasion of tumor cells. UTMD-mediated miR-4284 inhibition further promoted this effect, indicating that this technique may represent a novel strategy for the treatment of NSCLC.

Impact of Diffuse Large B-Cell Lymphoma on Mammography and Bone Density Testing in Women

Women with diffuse large B-cell lymphoma (DLBCL) are at an increased risk of mortality from breast cancer and osteoporosis. However, the impact of DLBCL on rates of mammography and bone density testing (BDT) is unknown. We compared female DLBCL and non-cancer patients utilizing the Surveillance, Epidemiology, and End Results-Medicare dataset to analyze the predictors of mammography and BDT. Guided by the Social Ecological Model (SEM), we used multivariable logistic regressions with inverse probability treatment weighting to examine the association of intrapersonal, interpersonal, healthcare system, and community factors with mammography and BDT. The rates of mammography (59.8%) and BDT (18.5%) in women with DLBCL were similar to those without cancer (60.2% and 19.6%, respectively). After adjusting for the SEM factors, DLBCL patients were less likely to get mammography and BDT than non-cancer patients. The treatments of radiotherapy and stem cell transplant were not associated with either mammography or BDT. DLBCL diagnosis was associated with lower rates of mammography and BDT rates among women with DLBCL, as compared to non-cancer patients. To reduce the morbidity and mortality from breast cancer and fractures in women with DLBCL, providers should increase their recommendations for mammography in those receiving radiotherapy and BDT in stem cell transplant patients.

The influence of multi-morbidities on colorectal cancer screening recommendations and completion

PURPOSE

Patients' chronic disease burden can influence the likelihood that providers will recommend cancer screening and that patients will participate in it. Using data from the STOP CRC pragmatic study, we examined associations between chronic disease burden and colorectal cancer screening recommendation and use.

METHODS

Participating STOP CRC clinics (n = 26) received either usual care or training to implement a mailed fecal immunochemical test (FIT) outreach program. Selected clinic patients (n = 60,187 patients) were aged 50-74 and overdue for colorectal cancer screening. We used logistic regression to examine the associations between FIT recommendations and completion and patients' chronic disease burden, calculated using the Charlson Comorbidity Index and the Chronic Illness and Disability Payment System.

RESULTS

For each index, FIT recommendation odds were 8-9% higher among individuals with minimal chronic disease burden and 13-23% lower among individuals with high chronic disease burden (inverted U-shaped association). Among adults who were ordered a FIT, FIT completion odds were 20% lower for individuals with any, versus no, chronic condition and diminished with increasing disease burden (inverse linear association).

CONCLUSIONS

Analysis showed an inverted U-shaped association between patients' chronic disease burden and providers' recommendation of a FIT and an inverse linear association between patients' chronic disease burden and FIT completion. ClinicalTrials.gov registration: NCT01742065.

Blueprint for cancer research: Critical gaps and opportunities

We are experiencing a revolution in cancer. Advances in screening, targeted and immune therapies, big data, computational methodologies, and significant new knowledge of cancer biology are transforming the ways in which we prevent, detect, diagnose, treat, and survive cancer. These advances are enabling durable progress in the goal to achieve personalized cancer care. Despite these gains, more work is needed to develop better tools and strategies to limit cancer as a major health concern. One persistent gap is the inconsistent coordination among researchers and caregivers to implement evidence-based programs that rely on a fuller understanding of the molecular, cellular, and systems biology mechanisms underpinning different types of cancer. Here, the authors integrate conversations with over 90 leading cancer experts to highlight current challenges, encourage a robust and diverse national research portfolio, and capture timely opportunities to advance evidence-based approaches for all patients with cancer and for all communities.

Identifying normal mammograms in a large screening population using artificial intelligence

OBJECTIVES

To evaluate the potential of artificial intelligence (AI) to identify normal mammograms in a screening population.

METHODS

In this retrospective study, 9581 double-read mammography screening exams including 68 screen-detected cancers and 187 false positives, a subcohort of the prospective population-based Malmö Breast Tomosynthesis Screening Trial, were analysed with a deep learning-based AI system. The AI system categorises mammograms with a cancer risk score increasing from 1 to 10. The effect on cancer detection and false positives of excluding mammograms below different AI risk thresholds from reading by radiologists was investigated. A panel of three breast radiologists assessed the radiographic appearance, type, and visibility of screen-detected cancers assigned low-risk scores (≤ 5). The reduction of normal exams, cancers, and false positives for the different thresholds was presented with 95% confidence intervals (CI).

RESULTS

If mammograms scored 1 and 2 were excluded from screen-reading, 1829 (19.1%; 95% CI 18.3-19.9) exams could be removed, including 10 (5.3%; 95% CI 2.1-8.6) false positives but no cancers. In total, 5082 (53.0%; 95% CI 52.0-54.0) exams, including 7 (10.3%; 95% CI 3.1-17.5) cancers and 52 (27.8%; 95% CI 21.4-34.2) false positives, had low-risk scores. All, except one, of the seven screen-detected cancers with low-risk scores were judged to be clearly visible.

CONCLUSIONS

The evaluated AI system can correctly identify a proportion of a screening population as cancer-free and also reduce false positives. Thus, AI has the potential to improve mammography screening efficiency.

KEY POINTS

• Retrospective study showed that AI can identify a proportion of mammograms as normal in a screening population. • Excluding normal exams from screening using AI can reduce false positives.

Lung cancers and pulmonary nodules detected by computed tomography scan: a population-level analysis of screening cohorts

Background

An increasing number and proportion of younger lung cancer patients have been observed worldwide, raising concerns on the optimal age to begin screening. This study aimed to investigate the association between age and findings in initial CT scans.

Methods

We searched for low-dose CT screening cohorts from electronic databases. Single-arm syntheses weighted by sample size were performed to calculate the detection rates of pulmonary nodules, lung cancers (all stages and stage I), and the proportion of stage I diseases in lung cancers. In addition, we included patients who underwent chest CT in our center as a supplementary cohort. The correlation between the detection rates and age was evaluated by the Pearson Correlation Coefficient.

Results

A total of 37 studies involving 163,442 participants were included. We found the detection rates of pulmonary nodules and lung cancers increased with age. However, the proportion of stage I diseases in lung cancers declined with increased starting age and was significantly higher in the 40-year group than in other groups (40 vs. 45, 50, 55, P<0.001). In addition, the ratio of early-stage lung cancer to the number of nodules declined with age. Similarly, in our center, the detection rates of nodules (R²=0.86, P≤0.001), all lung cancer (R²=0.99, P≤0.001) and stage I diseases (R²=0.87, P=0.001) increased with age, while the proportion of stage I diseases consistently declined with age (R²=0.97, P≤0.001).

Conclusions

Starting lung cancer screening at an earlier age is associated with a higher probability of identifying a curable disease, urging future research to determine the optimal starting age.

Fatores associados à realização de mamografia de acordo com dois critérios

Objetivo: objetivou-se comparar as prevalências e os fatores associados à realização de mamografia de acordo com dois critérios em vigência no Brasil.Métodos: estudo transversal, de base populacional, com mulheres entre 40 e 74 anos de Rio Grande, RS, Brasil. A cobertura de mamografia foi avaliada: 1) rastreamento anual para mulheres entre 40 e 74 anos; 2) rastreamento bienal para mulheres entre 50 e 69 anos. Os dados foram analisados por regressão de Poisson.Resultados: participaram do estudo 413 (critério 1) e 246 (critério 2) mulheres. A cobertura de mamografia pelo critério 1 foi de 49,4% (IC95% 43,8 a 55,0), oscilando de um quarto para as que não consultaram um médico no último ano até dois terços para aquelas com maior escolaridade. Segundo o critério 2, a cobertura foi de 65,5% (IC95% 59,2 a 71,7), indo de um terço entre as que não consultaram um médico no último ano a três quartos entre as obesas.Conclusões: a cobertura de mamografia diferiu conforme o critério empregado. Maior nível socioeconômico e ter consultado com médico no último ano foram os fatores mais associados, independentemente do critério.

LGR4 overexpression is associated with clinical parameters and poor prognosis of serous ovarian cancer

OBJECTIVE

LGR4 expression in serous ovarian cancer paraffin-embedded tissues and fresh tissues were investigated, and its expression associated with clinicopathological parameters and prognosis in serous ovarian cancer was explored.

METHODS

From Dec, 2009 to Jan, 2020, 122 paraffin-embedded serous ovarian cancer patients and 41 paired paratumor tissues who were both diagnosed and operated at the memorial hospital of Sun Yat-sen University and Integrated Hospital of Traditional Chinese Medicine, Southern Medical University were selected in this research, respectively, and all of these tissues were performed by immunohistochemistry (IHC) with a polyclonal antibody for LGR4. Meanwhile, from Aug, 2013 to Mar, 2019, 15 cases of serous ovarian cancer fresh tissues and 15 cases of paratumor fresh tissues who were operated at Integrated Hospital of Traditional Chinese Medicine, Southern Medical University were performed with Quantitative Real-time PCR to detect the mRNA expression of LGR4, respectively.

RESULTS

LGR4 expression was much higher both in paraffin-embedded and fresh cancer tissues than that in paratumor tissues, respectively, and its expression was associated with recurrence free survival and overall survival in serous ovarian cancer patients. Moreover, in a multivariate model LGR4 was an indeed independent predictor of poor survival in serous ovarian cancer patients.

CONCLUSION

LGR4 is upregulated in serous ovarian cancer, and LGR4 is an indeed useful independent prognostic predictor in serous ovarian cancer, and it may provide important clinical value of serous ovarian cancer.

Comparison of three lymph node staging methods for predicting outcome in breast cancer patients with mastectomy

Background

Axillary lymph node (ALN) staging is essential in predicting the clinical outcome of breast cancer (BC) patients. Traditionally, it follows the tumor-node-metastasis (TNM) staging, but its accuracy needs further improvement.

Methods

A total of 9,616 BC patients from the Surveillance, Epidemiology, and End Results (SEER) database and 675 patients from the First Affiliated Hospital of China Medical University underwent mastectomy together with ALN dissection were reviewed. Univariate and multivariate logistic analyses were conducted to find the most meaningful factors relevant to prognosis.

Results

After univariate and multivariate analyses, age, race, primary site, radiation, chemotherapy, grade, T-stage, estrogen receptor (ER), progesterone receptor (PR), total number of positive lymph nodes (pN), positive lymph node ratio (LNR) and log odds of positive LNs (LODDS) were found to be significantly associated with overall survival (OS). Using these non-LN risk factors, we further compared the efficacy of three different ALN staging methods in prognosis via nomograms. Harrell's concordance index (C-index) and Akaike Information Criterion (AIC) were used to measure nomogram performance of the ALN staging methods: pN: C-index=0.687 (95% CI: 0.678-0.696), AIC =61,398.24; LNR: C-index =0.691 (95% CI: 0.683-0.701), AIC =61,313.56; and LODDS: C-index =0.691 (95% CI: 0.682-0.700), AIC =61,315.60. We found that the nomogram incorporating LODDS had better predictive ability compared with other two methods. Furthermore, an external validation revealed a C-index of 0.753 (95% CI: 0.690-0.816) for the Asian population, which indicates the nomogram based on LODDS may have universality for both Western and Asian populations.

Conclusions

Compared with pN and LNR, LODDS showed higher homeostasis in LN evaluation, and showed marked efficacy in evaluating survival differences among patients with negative LN staging. We constructed a BC prognosis model by incorporating highly relevant clinical pathological factors and a new method of LN staging, which may greatly aid in guiding postoperative treatment.

Estimated global cancer incidence in the oldest adults in 2018 and projections to 2050

Using GLOBOCAN estimates, we describe the estimated cancer incidence among adults aged 80 years or older at the regional and global level in 2018, reporting the number of new cancer cases, and the truncated age-standardised incidence rates (per 100 000) for all cancer sites combined for this age group. We also presented the five most frequent cancers diagnosed by region and globally among females and males aged 65 to 79 years old and 80 years or older. We, finally, estimated the number of new cancer cases in 2050, the proportion of cases aged 80 years or older, and the proportional increase between 2018 and 2050 by region, by applying population projections to the 2018 incidence rates. In 2018, an estimated 2.3 million new cancer cases (excluding nonmelanoma skin cancers) were aged 80 years or older worldwide (13% of all cancer cases), with large variation in the profiles at regional levels. Globally, breast, lung and colon were the most common cancer sites diagnosed in the oldest females, while prostate, lung and colon were most frequent in the oldest males. In 2050, an estimated 6.9 million new cancers will be diagnosed in adults aged 80 years or older worldwide (20.5% of all cancer cases). Due to the complexity of cancer management in the oldest patients, the expected increase will challenge healthcare systems worldwide, posing a tangible economic and social impact on families and society. It is time to consider the oldest population in cancer control policies.

Integrating Women's Health Education into the Internal Medicine Residency Program Curriculum

OBJECTIVES

National guidelines and the American Board of Internal Medicine have highlighted critical areas of women's health (WH) that are important to the training of Internal Medicine (IM) residents. Our objective was to assess and improve WH education in a large academic community-based IM residency program.

METHODS

An anonymous online survey was sent to IM residents to assess their perceived comfort, knowledge, and importance, and exposure to 34 WH topics identified as critical to the training of an internist. To meet the critical learning needs of our residents, a new longitudinal WH curriculum was designed using active instructional methods. Retrospective pre-post surveys were conducted after interactive education workshops to measure their effectiveness.

RESULTS

IM residents identified 13 of 34 WH topics that were critically important to their training. Of these, residents believed they had insufficient clinical exposure to prescribing contraceptives, evaluating breast symptoms, managing menopause, performing Papanicolaou tests and pelvic examinations, and polycystic ovary syndrome. Residents identified osteoporosis as their single greatest learning need. There was a strong and statistically significant correlation between residents' knowledge, comfort, and clinical exposure to WH topics. In response to these findings, the curricular methods we developed, such as problem-based learning workshops, multidisciplinary case conferences, and small-group case discussions, were found to be effective.

CONCLUSIONS

Our study highlighted significant gaps in our WH curriculum. Based on our findings, we redesigned our educational and experiential WH curriculum to augment knowledge, comfort, perceived importance of, and exposure to areas of need. Enhancing education and increasing clinical exposure to fundamental WH issues will promote higher quality care for women patients.

MicroRNA-1323 downregulation promotes migration and invasion of breast cancer cells by targeting tumour protein D52

Breast cancer (BC) is one of the most common malignancies globally in women, with high mortality rate as a result of tumour metastasis. MicroRNAs play vital roles in the occurrence and development of human cancer. This study aimed to investigate the biological roles of miR-1323 in BC. The expression levels of miR-1323 were detected by quantitative real-time PCR assay. The effect of miR-1323 on BC cell proliferation was determined by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide and colony formation assay. Wound healing analysis and Matrigel Transwell assay were conducted to evaluate miR-1323-mediated BC cell migration and invasion. A luciferase reporter assay was used to test the target of miR-1323. We found that miR-1323 levels were downregulated in BC tissues and serums. Low-miR-1323 levels were associated with lymph node metastasis and advanced clinical stage. Tumour protein D52 (TPD52) was identified as a direct target of miR-1323. Low expression of miR-1323 contributed to the overexpression of TPD52 leading to enhanced BC progression. Our findings suggest that silencing of miR-1323 enhances BC development by regulating TPD52 expression, suggesting that miR-1323 and TPD52 may serve as potential therapeutic targets for BC treatment.

Machine-Learning Provides Patient-Specific Prediction of Metastatic Risk Based on Innovative, Mechanobiology Assay

Cancer mortality is mostly related to metastasis. Metastasis is currently prognosed via histopathology, disease-statistics, or genetics; those are potentially inaccurate, not rapidly available and require known markers. We had developed a rapid (~ 2 h) mechanobiology-based approach to provide early prognosis of the clinical likelihood for metastasis. Specifically, invasive cell-subsets seeded on impenetrable, physiological-stiffness polyacrylamide gels forcefully indent the gels, while non-invasive/benign cells do not. The number of indenting cells and their attained depths, the mechanical invasiveness, accurately define the metastatic risk of tumors and cell-lines. Utilizing our experimental database, we compare the capacity of several machine learning models to predict the metastatic risk. Models underwent supervised training on individual experiments using classification from literature and commercial-sources for established cell-lines and clinical histopathology reports for tumor samples. We evaluated 2-class models, separating invasive/non-invasive (e.g. benign) samples, and obtained sensitivity and specificity of 0.92 and 1, respectively; this surpasses other works. We also introduce a novel approach, using 5-class models (i.e. normal, benign, cancer-metastatic-non/low/high) that provided average sensitivity and specificity of 0.69 and 0.91. Combining our rapid, mechanical invasiveness assay with machine learning classification can provide accurate and early prognosis of metastatic risk, to support choice of treatments and disease management.

Lung-RADS Version 1.1: Challenges and a Look Ahead, From the AJR Special Series on Radiology Reporting and Data Systems

In 2014, the American College of Radiology (ACR) created Lung-RADS 1.0. The system was updated to Lung-RADS 1.1 in 2019, and further updates are anticipated as additional data become available. Lung-RADS provides a common lexicon and standardized nodule follow-up management paradigm for use when reporting lung cancer screening (LCS) low-dose CT (LDCT) chest examinations and serves as a quality assurance and outcome monitoring tool. The use of Lung-RADS is intended to improve LCS performance and lead to better patient outcomes. To date, the ACR's Lung Cancer Screening Registry is the only LCS registry approved by the Centers for Medicare & Medicaid Services and requires the use of Lung-RADS categories for reimbursement. Numerous challenges have emerged regarding the use of Lung-RADS in clinical practice, including the timing of return to LCS after planned follow-up diagnostic evaluation; potential substitution of interval diagnostic CT for future LDCT; role of volumetric analysis in assessing nodule size; assessment of nodule growth; assessment of cavitary, subpleural, and category 4X nodules; and variability in reporting of the S modifier. This article highlights the major updates between versions 1.0 and 1.1 of Lung-RADS, describes the system's ongoing challenges, and summarizes current evidence and recommendations.

Protein Glycopatterns in Bronchoalveolar Lavage Fluid as Novel Potential Biomarkers for Diagnosis of Lung Cancer

Lung cancer is one of the most prevalent and life-threatening neoplasias worldwide due to the deficiency of ideal diagnostic biomarkers. Although aberrant glycosylation has been observed in human serum and tissue, little is known about the alterations in bronchoalveolar lavage fluid (BALF) that are extremely associated with lung cancer. In this study, our aim was to systematically investigate and assess the alterations of protein glycopatterns in BALF and possibility as biomarkers for diagnosis of lung cancer. Here, lectin microarrays and blotting analysis were utilized to detect the differential expression of BALF glycoproteins from patients with 80 adenocarcinomas (ADC), 77 squamous carcinomas (SCC), 51 small cell lung cancer (SCLC), and 73 benign pulmonary diseases (BPD). These 281 specimens were then randomly divided into a training cohort and validation cohort for constructing and verifying the diagnostic models based on the glycopattern abundances. Moreover, an independent test was performed with 120 newly collected BALF samples enrolled in the double-blind cohort to further assess the clinical application potential of the diagnostic models. According to the results, there were 15 (e.g., PHA-E, EEL, and BPL) and 14 lectins (e.g., PTL-II, LCA, and SJA) that individually showed significant variations in different types and stages of lung cancer compared to BPD. Notably, the diagnostic models achieved better discriminate power in the validation cohort and exhibited high accuracies of 0.917, 0.864, 0.712, 0.671, and 0.781 in the double-blind cohort for the diagnosis of lung cancer, early stage lung cancer, ADC, SCC, and SCLC, respectively. Taken together, the present study revealed that the abnormally altered protein glycopatterns in BALF are expected to be novel potential biomarkers for the identification and early diagnosis of lung cancer, which will contribute to explain the mechanism of the development of lung cancer from the perspective of glycobiology.

Knowledge assessment and barriers to cancer screening among Ghanaian community pharmacists

INTRODUCTION

Though there are controversies, cancer screening has been suggested to decrease mortality. Over the years, the most accessible primary healthcare provider; the community pharmacist, has developed an interest in being part of cancer screening activities and prevention of a wide range of other non-communicable diseases. To achieve this, community pharmacists need a working knowledge of the basic screening test and recommendations. Also, it's important to acknowledge the barriers that may prevent the implementation of cancer-screening efforts at the community pharmacy. This study aims to determine the knowledge and barriers to cancer screening among Ghanaian community pharmacists.

METHODOLOGY

Knowledge and barriers to cancer screening was assessed using an online questionnaire in 435 community pharmacists. Descriptive statistics and Pearson's chi-squared tests were used to analyze the data.

RESULTS

The reliability and validity assessment of the questionnaire after data collection revealed a Cronbach's alpha value of 0.82 for knowledge on cancer screening. The SD and mean age of study participants were 2.48 ± 20.08. Only 25.7% of the participants had good knowledge. The most identified barrier was the lack of established guidelines (60.9%). There was no association between participants' demographics and their knowledge scores.

CONCLUSIONS

Community pharmacists can potentially have a large impact on early detection of cancer through screening. However, they have to improve their knowledge on general screening guidelines and be aware of available educational resources to increase their knowledge. It is also important for all stakeholders to come together to establish local screening modalities and recommendations for the country.

Implementation and Impact of a Risk-Stratified Prostate Cancer Screening Algorithm as a Clinical Decision Support Tool in a Primary Care Network

BACKGROUND

Implementation methods of risk-stratified cancer screening guidance throughout a health care system remains understudied.

OBJECTIVE

Conduct a preliminary analysis of the implementation of a risk-stratified prostate cancer screening algorithm in a single health care system.

DESIGN

Comparison of men seen pre-implementation (2/1/2016-2/1/2017) vs. post-implementation (2/2/2017-2/21/2018).

PARTICIPANTS

Men, aged 40-75 years, without a history of prostate cancer, who were seen by a primary care provider.

INTERVENTIONS

The algorithm was integrated into two components in the electronic health record (EHR): in Health Maintenance as a personalized screening reminder and in tailored messages to providers that accompanied prostate-specific antigen (PSA) results.

MAIN MEASURES

Primary outcomes: percent of men who met screening algorithm criteria; percent of men with a PSA result. Logistic repeated measures mixed models were used to test for differences in the proportion of individuals that met screening criteria in the pre- and post-implementation periods with age, race, family history, and PSA level included as covariates.

KEY RESULTS

During the pre- and post-implementation periods, 49,053 and 49,980 men, respectively, were seen across 26 clinics (20.6% African American). The proportion of men who met screening algorithm criteria increased from 49.3% (pre-implementation) to 68.0% (post-implementation) (p < 0.001); this increase was observed across all races, age groups, and primary care clinics. Importantly, the percent of men who had a PSA did not change: 55.3% pre-implementation, 55.0% post-implementation. The adjusted odds of meeting algorithm-based screening was 6.5-times higher in the post-implementation period than in the pre-implementation period (95% confidence interval, 5.97 to 7.05).

CONCLUSIONS

In this preliminary analysis, following implementation of an EHR-based algorithm, we observed a rapid change in practice with an increase in screening in higher-risk groups balanced with a decrease in screening in low-risk groups. Future efforts will evaluate costs and downstream outcomes of this strategy.

SWATH-MS Protocols in Human Diseases

Identification of molecular biomarkers for human diseases is one of the most important disciplines in translational science as it helps to elucidate their origin and early progression. Thus, it is a key factor in better diagnosis, prognosis, and treatment. Proteomics can help to solve the problem of sample complexity when the most common primary sample specimens were analyzed: organic fluids of easy access. The latest developments in high-throughput and label-free quantitative proteomics (SWATH-MS), together with more advanced liquid chromatography, have enabled the analysis of large sample sets with the sensitivity and depth needed to succeed in this task. In this chapter, we show different sample processing methods (major protein depletion, digestion, etc.) and a micro LC-SWATH-MS protocol to identify/quantify several proteins in different types of samples (serum/plasma, saliva, urine, tears).

Clinicopathological Features and Survival of Adolescent and Young Adults with Cervical Cancer

PURPOSE

To explore clinicopathological characteristics and their prognostic value among young patients with cervical cancer (who are aged ≤25 years old).

METHODS

The Surveillance, Epidemiology, and End Results Program (SEER) database was used to extract data on cervical cancer patients. They were then stratified by age as young women (≤25 years old) and old women (26-35 years old) and analyzed for clinicopathology characteristics and treatment modalities. Prognosis was analyzed using Kaplan-Meier survival curve, as well as hazard ratios using Cox regression modeling. The nomogram was developed based on Cox hazards regression model.

RESULTS

Compared to 26-35 years old women, patients aged ≤25 years tended to be white ethnicity, unmarried, had earlier stage of disease. There was also a better prognosis among younger cohort. Grade, FIGO stage, histologic subtypes, and surgical modalities influenced the survival outcomes of young patients. Among young cohorts, surgery prolonged the survival time of IA-IIA stage patients while surgical and non-surgical management presented no statistically prognostic difference among patients at IIB-IVB stage. Besides, the nomogram which constructed according to Cox hazards regression model which contained independent prognosis factors including FIGO stage, surgery type, and histologic type of tumor can robustly predict survival of young patients.

CONCLUSION

Cervical cancer patients ≤25 years old were uncommon and lived longer than the older patients. Among these young patients at IA-IIA stage, surgical treatment could be more effective at preventing death than non-surgery. The nomogram could perfectly predict the prognosis of young adults and adolescents with cervical cancer.

Colorectal Cancer in Lebanon: Incidence, Temporal Trends, and Comparison to Regional and Western Countries

Global trends in the incidence and mortality rates of colorectal cancer show a steady increase with significant predilection to western developed countries, possibly linking it to westernized lifestyles among other risk factors. This study aims to investigate the incidence and trends of colorectal cancer in Lebanon, a country in the Middle East and North Africa region, and to compare these rates to those in regional and western countries. Colorectal cancer incidence data were extracted from the Lebanese National Cancer Registry for the currently available years 2005 to 2016. The calculated age-standardized incidence rates and age-specific rates were expressed as per 100,000 population. The age-standardized incidence rates of colorectal cancer in Lebanon increased from 16.3 and 13.0 per 100,000 in 2005 to 23.2 and 20.2 per 100,000 in 2016, among males and females, respectively. The incidences were higher for males, and they increased with age. The annual percent change was +4.36% and +4.45%, in males and females respectively (p-value < 0.05). There was a non-statistically significant trend of decrease in recent years (since 2012 in males and since 2011 in females). The age-standardized incidence rates in Lebanon were higher than those in the majority of the regional countries, but lower than the rates in developed western countries. There were high age-specific incidence rates at age groups 40-44 and 45-49 years in Lebanon in both males and females (with significant rising temporal trend) compared to other countries, including the ones reported to have the highest colorectal cancer age-standardized incidence rate worldwide. Therefore, the burden of colorectal cancer is significant in Lebanon. This raises the necessity to develop national strategies tailored to reduce colorectal cancer incidence through promoting healthy lifestyles, raising awareness, and early detection as of 40 years of age.

The Effectiveness of Educational Interventions on Breast Cancer Screening Uptake, Knowledge, and Beliefs among Women: A Systematic Review

There have been various systematic reviews on the significance of educational interventions as necessary components to encourage breast cancer screening (BCS) and reduce the burden of breast cancer (BC). However, only a few studies have attempted to examine these educational interventions comprehensively. This review paper aimed to systematically evaluate the effectiveness of various educational interventions in improving BCS uptake, knowledge, and beliefs among women in different parts of the world. Following the PRISMA guidelines, a comprehensive literature search on four electronic databases, specifically PubMed, Scopus, Web of Science, and ScienceDirect, was performed in May 2019. A total of 22 interventional studies were reviewed. Theory- and language-based multiple intervention strategies, which were mainly performed in community and healthcare settings, were the commonly shared characteristics of the educational interventions. Most of these studies on the effectiveness of interventions showed favorable outcomes in terms of the BCS uptake, knowledge, and beliefs among women. Educational interventions potentially increase BCS among women. The interpretation of the reported findings should be treated with caution due to the heterogeneity of the studies in terms of the characteristics of the participants, research designs, intervention strategies, and outcome measures.

Development and Validation of an Automatic Image-Recognition Endoscopic Report Generation System: A Multicenter Study

INTRODUCTION:

Conventional gastrointestinal (GI) endoscopy reports written by physicians are time consuming and might have obvious heterogeneity or omissions, impairing the efficiency and multicenter consultation potential. We aimed to develop and validate an image recognition–based structured report generation system (ISRGS) through a multicenter database and to assess its diagnostic performance.

Methods:

First, we developed and evaluated an ISRGS combining real-time video capture, site identification, lesion detection, subcharacteristics analysis, and structured report generation. White light and chromoendoscopy images from patients with GI lesions were eligible for study inclusion. A total of 46,987 images from 9 tertiary hospitals were used to train, validate, and multicenter test (6:2:2). Moreover, 5,699 images were prospectively enrolled from Qilu Hospital of Shandong University to further assess the system in a prospective test set. The primary outcome was the diagnosis performance of GI lesions in multicenter and prospective tests.

Results:

The overall accuracy in identifying early esophageal cancer, early gastric cancer, early colorectal cancer, esophageal varices, reflux esophagitis, Barrett’s esophagus, chronic atrophic gastritis, gastric ulcer, colorectal polyp, and ulcerative colitis was 0.8841 (95% confidence interval, 0.8775–0.8904) and 0.8965 (0.8883–0.9041) in multicenter and prospective tests, respectively. The accuracy of cecum and upper GI site identification were 0.9978 (0.9969–0.9984) and 0.8513 (0.8399–0.8620), respectively. The accuracy of staining discrimination was 0.9489 (0.9396–0.9568). The relative error of size measurement was 4.04% (range 0.75%–7.39%).

DISCUSSION:

ISRGS is a reliable computer-aided endoscopic report generation system that might assist endoscopists working at various hospital levels to generate standardized and accurate endoscopy reports (http://links.lww.com/CTG/A485).

Three metachronous primary lung cancers in a chronic smoker: A case report and review of the literature

RATIONALE

Lung cancer is a leading cause of cancer-related deaths. Smoking is major risk factor for initial and subsequent lung cancer especially in active smokers. Treatment of subsequent lung cancer depends on whether it is synchronous or metachronous. We report a rare case of triple metachronous lung cancer and review of literature of patients with triple metachronous cancers. This will be the second case reported of triple metachronous lung cancer.

PATIENT CONCERNS

A 60-year-old male, active smoker with diabetes mellitus, chronic obstructive pulmonary disease (COPD) and peripheral arterial disease presented with cough and hemoptysis. Initial computed tomography (CT) scan showed right upper lobe spiculated mass.

DIAGNOSIS

He underwent transthoracic needle biopsy for right upper lobe mass, showing primary lung adenocarcinoma (ADC)-Stage-IIIA. He continued to smoke and 9-years later had new left upper lobe spiculated nodule, which on surgical resection showed squamous cell carcinoma (SCC)-Stage-IA1. Despite counselling on smoking cessation, he was unable to quit. Six months later, he presented with shortness of breath and CT chest showing right hilar adenopathy in right upper and lower lobes. He underwent transbronchial biopsies of lesion which showed small cell lung carcinoma (SCLC).

INTERVENTIONS

His initial lung ADC-Stage-IIIA, was treated with chemotherapy, weekly thoracic radiation and additional chemotherapy cycles. Nine years later, his left upper lobe mass showing SCC-Stage-IA1 was deemed curative after apical resection and he was kept on surveillance. Six months later, after diagnosis of SCLC in right upper and lower lobe, patient was not a candidate for systemic chemotherapy due to poor performance status and opted for hospice care.

OUTCOMES

His initial lung ADC-Stage-IIIA showed complete radiological response with chemotherapy and radiation. Subsequent SCC-Stage-IA1 was deemed curative after resection. Due to his poor performance status, he was not a candidate for chemotherapy for SCLC and patient opted for hospice care.

LESSONS

Smoking is a major risk factor for developing lung cancer and with continued smoking, patients are at higher risk for developing subsequent primary lung cancers. We recommend, patients with lung cancer must quit smoking, and those who do not, should remain on long-term surveillance.

Young-onset colorectal cancer risk among individuals with iron-deficiency anaemia and haematochezia

OBJECTIVE

Young-onset colorectal cancer (YCRC) incidence is rising. Scant data exist on YCRC risk after presentation with concerning symptoms such as iron-deficiency anaemia (IDA) or haematochezia. We examined the association between IDA and YCRC, and haematochezia and YCRC.

DESIGN

Cohort study of US Veterans aged 18-49 years receiving Veterans Health Administration (VHA) care 1999-2016. IDA analytic cohort was created matching individuals without incident IDA to those with IDA 4:1 based on sex, birth year and first VHA visit date (n=239 000). We used this approach to also create a distinct haematochezia analytic cohort (n=653 740). Incident YCRC was ascertained via linkage to cancer registry and/or cause-specific mortality data. We computed cumulative incidence, risk difference (RD) and HRs using Cox models in each cohort.

RESULTS

Five-year YCRC cumulative incidence was 0.45% among individuals with IDA versus 0.05% without IDA (RD: 0.39%, 95% CI: 0.33%-0.46%), corresponding to an HR of 10.81 (95% CI: 8.15-14.33). Comparing IDA versus no IDA, RD was 0.78% for men (95% CI: 0.64%-0.92%) and 0.08% for women (95% CI: 0.03%-0.13%), and RD increased by age from 0.14% for <30 years to 0.53% for 40-49 years. YCRC cumulative incidence was 0.33% among individuals with haematochezia versus 0.03% without haematochezia (RD: 0.30%, 95% CI: 0.26%-0.33%), corresponding to an HR of 10.66 (95% CI: 8.76-12.97). Comparing haematochezia versus no haematochezia, RD increased by age from 0.04% for <30 years to 0.43% for 40-49 years.

CONCLUSION

Colonoscopy should be strongly considered in adults aged <50 years with IDA or haematochezia without a clinically confirmed alternate source.

Optimal Timing for Cancer Screening and Adaptive Surveillance Using Mathematical Modeling

Cancer screening and early detection efforts have been partially successful in reducing incidence and mortality, but many improvements are needed. Although current medical practice is informed by epidemiologic studies and experts, the decisions for guidelines are ultimately ad hoc. We propose here that quantitative optimization of protocols can potentially increase screening success and reduce overdiagnosis. Mathematical modeling of the stochastic process of cancer evolution can be used to derive and optimize the timing of clinical screens so that the probability is maximal that a patient is screened within a certain "window of opportunity" for intervention when early cancer development may be observable. Alternative to a strictly empirical approach or microsimulations of a multitude of possible scenarios, biologically based mechanistic modeling can be used for predicting when best to screen and begin adaptive surveillance. We introduce a methodology for optimizing screening, assessing potential risks, and quantifying associated costs to healthcare using multiscale models. As a case study in Barrett's esophagus, these methods were applied for a model of esophageal adenocarcinoma that was previously calibrated to U.S. cancer registry data. Optimal screening ages for patients with symptomatic gastroesophageal reflux disease were older (58 for men and 64 for women) than what is currently recommended (age > 50 years). These ages are in a cost-effective range to start screening and were independently validated by data used in current guidelines. Collectively, our framework captures critical aspects of cancer evolution within patients with Barrett's esophagus for a more personalized screening design. SIGNIFICANCE: This study demonstrates how mathematical modeling of cancer evolution can be used to optimize screening regimes, with the added potential to improve surveillance regimes. GRAPHICAL ABSTRACT: http://cancerres.aacrjournals.org/content/canres/81/4/1123/F1.large.jpg.

[What's new liquid biopsy-PIK3CA testing in breast cancer]

The impact of liquid biopsies on the analysis of molecular alterations of circulating tumor DNA (ctDNA) has recently increased. PIK3CA is one of the most frequently mutated genes in breast cancer and the expected approval of targeted PIK3CA therapy based on the results of the SOLAR1 trial is likely to lead to the use of liquid biopsies as another promising testing strategy in breast cancer patients who can benefit from a targeted therapy.Choosing an appropriate method for the detection of activating PIK3CA mutations should include factors like sensitivity, specificity, and limit of detection. The test should at least meet the parameters of the assay used in the drug approval study.If carefully used, PIK3CA mutation detection with liquid biopsies can then be a useful addition to standard tissue diagnostics.

Aaptamine attenuates the proliferation and progression of non-small cell lung carcinoma

CONTEXT

Aaptamine is a potent ocean-derived non-traditional drug candidate against human cancers. However, the underlying molecular mechanisms governing aaptamine-mediated repression of lung cancer cells remain largely undefined.

OBJECTIVE

To examine the inhibitory effect of aaptamine on proliferation and progression of non-small cell lung carcinoma (NSCLC) and dissect the potential mechanisms involved in its anticancer functions.

MATERIALS AND METHODS

In vitro assays of cell proliferation, cell cycle analysis, clonal formation, apoptosis and migration were performed to examine the inhibitory effects of aaptamine (8, 16 and 32 μg/mL) on NSCLC cells. The expression levels of proteins were analysed using western blotting analysis when cells were treated with a single drug or a combination treatment for 48 h.

RESULTS

Aaptamine significantly inhibited A549 and H1299 cells proliferation with IC₅₀ values of 13.91 and 10.47 μg/mL. At the concentrations of 16 and 32 μg/mL, aaptamine significantly reduced capacities in clonogenicity, enhanced cellular apoptosis and decreased the motile and invasive cellular phenotype. In addition, aaptamine arrested cell cycle at G1 phase via selectively abating cell cycle regulation drivers (CDK2/4 and Cyclin D1/E). Western blotting results showed that aaptamine attenuated the protein expression of MMP-7, MMP-9 and upregulated the expression of cleaved-PARP and cleaved-caspase 3. Moreover, aaptamine inhibited PI3K/AKT/GSK3β signalling cascades through specifically degrading the phosphorylated AKT and GSK3β.

DISCUSSION AND CONCLUSIONS

Aaptamine retarded the proliferation and invasion of NSCLC cells by selectively targeting the pathway PI3K/AKT/GSK3β suggesting it as a potential chemotherapeutic agent for repressing tumorigenesis and progression of NSCLC in humans.

Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence

Incidence and mortality rates of endometrial cancer are increasing, leading to increased interest in endometrial cancer risk prediction and stratification to help in screening and prevention. Previous risk models have had moderate success with the area under the curve (AUC) ranging from 0.68 to 0.77. Here we demonstrate a population-based machine learning model for endometrial cancer screening that achieves a testing AUC of 0.96. We train seven machine learning algorithms based solely on personal health data, without any genomic, imaging, biomarkers, or invasive procedures. The data come from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO). We further compare our machine learning model with 15 gynecologic oncologists and primary care physicians in the stratification of endometrial cancer risk for 100 women. We find a random forest model that achieves a testing AUC of 0.96 and a neural network model that achieves a testing AUC of 0.91. We test both models in risk stratification against 15 practicing physicians. Our random forest model is 2.5 times better at identifying above-average risk women with a 2-fold reduction in the false positive rate. Our neural network model is 2 times better at identifying above-average risk women with a 3-fold reduction in the false positive rate. Our machine learning models provide a non-invasive and cost-effective way to identify high-risk sub-populations who may benefit from early screening of endometrial cancer, prior to disease onset. Through statistical biopsy of personal health data, we have identified a new and effective approach for early cancer detection and prevention for individual patients.

Alcohol consumption. A leading risk factor for cancer

In 2016, alcohol consumption was one of the leading risk factors for cancer development and cancer death globally, causing an estimated 376 200 cancer deaths, representing 4.2% of all cancer deaths, and 10.3 million cancer disability-adjusted life years lost, representing 4.2% of all cancer disability-adjusted life years lost. The impact of alcohol consumption on cancer in 2016 varied by age group; the proportion of cancer deaths attributable to alcohol consumption ranged from 13.9% of cancer deaths among people aged 30-34 years to 2.7% of cancer deaths among people aged 80-84 years. The burden of cancers caused by alcohol consumption might be decreased through (i) individual-level and societal-level interventions that reduce alcohol consumption, and (ii) measures that target those risk factors that interact with alcohol consumption to increase the risk of cancer or that directly affect the risk of alcohol-related cancers.

Prostate examination among adult and elderly subjects in southern Brazil: a cross-sectional population-based study

BACKGROUND

Population-wide screening for prostate cancer remains a controversial topic, given the need for an individualized approach to patients regarding the risks and benefits of prostate-specific antigen testing and digital rectal examination.

OBJECTIVE

The aim of this study was to investigate the prevalence of, and factors associated with, prostate examination among men aged 45 or older.

DESIGN AND SETTING

Cross-sectional population-based study developed in the city of Rio Grande (RS), Brazil.

METHODS

The outcome of interest was a history of prostate examination (prostate-specific antigen testing or digital rectal examination). The following independent variables were analyzed: age group, skin color, marital status, schooling, economic level, leisure-time physical activity, smoking habits, excessive alcohol consumption, overweight, health insurance, visits to the doctor during the preceding year, hypertension and diabetes. After a two-stage sampling process, the final sample consisted of 281 male individuals.

RESULTS

The prevalence of a history of prostate-specific antigen testing or digital rectal examination was 68.3% (95% confidence interval (CI): 62.2 to 74.5). The highest prevalence rates were observed among men aged 70 years or older (88%) and the lowest among smokers (36%). The following characteristics were found to be associated with the outcome: advanced age; marital status other than single; more schooling and higher economic status; practicing physical activity; non-smoking habits; overweight; having health insurance; and having visited a doctor during the preceding year.

CONCLUSION

Approximately two thirds of the study population had been screened for prostate examination, mostly older individuals, with higher socioeconomic status and a healthier lifestyle.

Cancer Screening in Older Adults: Individualized Decision-Making and Communication Strategies

Cancer screening decisions in older adults can be complex due to the unclear cancer-specific mortality benefits of screening and several known harms including false positives, overdiagnosis, and procedural complications from downstream diagnostic interventions. In this review, we provide a framework for individualized cancer screening decisions among older adults, involving accounting for overall health and life expectancy, individual values, and the risks and benefits of specific cancer screening tests. We then discuss strategies for effective communication of recommendations during clinical visits that are considered more effective, easy to understand, and acceptable by older adults and clinicians.

Downregulation of the ubiquitin ligase KBTBD8 prevented epithelial ovarian cancer progression

OBJECTIVES

Kelch repeat and BTB domain-containing protein 8, KBTBD8, has been identified as a female fertility factor. However, there have been no reports on the role of KBTBD8 in the progression of epithelial ovarian cancer, EOC. Our study aimed to address this issue.

METHODS

We first examine KBTBD8 expression in EOC tissues and cells. Next, we performed RNA sequencing to reveal the overall mechanism. Then we investigated the roles of KBTBD8 in the proliferation, migration, and health status of cultured EOC cells. Finally, we employed tumor xenograft models to evaluate the role of KBTBD8 in vivo.

RESULTS

First, KBTBD8 level was significantly higher in EOC tissues and cells. Next, comparative RNA sequencing identified more tumorigenesis-related genes that KBTBD8 might regulate. Then we found that KBTBD8 knockdown significantly decreased EOC cell proliferation, migration, and the activities of multiple tumorigenesis-related kinases. Finally, KBTBD8 knockdown significantly diminished ovarian tumor formation in vivo.

CONCLUSION

Proper KBTBD8 level is essential for the healthy growth of ovarian somatic cells, such as ovarian epithelial cells. Excessive KBTBD8 might be a significant impetus for EOC progression. KBTBD8 reduction greatly inhibits EOC proliferation and migration.

[Radiosurgical hypophysectomy in cancer pain treatment. Literature review and clinical case]

Cancer pain is one of the main problem in modern medicine. According European Society for Medical Oncology data, cancer pain prevalence is 64% among patient with terminal stage of disease and in 46% standard pain therapy was ineffective. Radiosurgical hypophysectomy is one of the important and perspective method in cancer pain treatment. This method could be offered patient with chronic disease. According literature review, endocrinology complications were very rare and occurred 10 months after therapy. Value of analgesic effect was 70-90%. In some trials, procedure was effective not only nociceptive, but also in neuropathic pain. More trials require for determination of indications and mechanism of action. The case of successful relief of resistant pain in patient with pancreatic cancer by means of radiosurgical hypophysectomy is described.

Regulation of breast cancer oncogenesis by the cell of origin's differentiation state

Human breast cancer which affects 1/8 women is rare at a cellular level. Even in the setting of germline BRCA1/BRCA2, which is present in all breast cells, solitary cancers or cancers arising at only several foci occur. The overwhelming majority of breast cells (10⁹-10¹² cells) resist transformation. Our hypothesis to explain this rareness of transformation is that mammary oncogenesis is regulated by the cell of origin's critical window of differentiation so that target cells outside of this window cannot transform. Our novel hypothesis differs from both the multi-hit theory of carcinogenesis and the stem/progenitor cell compartmental theory of tumorigenesis and utilizes two well established murine transgenic models of breast oncogenesis, the FVB/N-Tg (MMTV-PyVT)634Mul/J and the FVB-Tg (MMTV-ErbB2) NK1Mul/J. Tail vein fibroblasts from each of these transgenics were used to generate iPSCs. When select clones were injected into cleared mammary fat pads, but not into non-orthotopic sites of background mice, they exhibited mammary ontogenesis and oncogenesis with the expression of their respective transgenes. iPSC clones, when differentiated along different non-mammary lineages in vitro, were also not able to exhibit either mammary ontogenesis or oncogenesis in vivo. Therefore, in vitro and in vivo regulation of differentiation is an important determinant of breast cancer oncogenesis.

Trends in Cancer Screening Rates among Korean Men and Women: Results of the Korean National Cancer Screening Survey, 2004-2018

Purpose

The Korean National Cancer Screening Survey (KNCSS) is a nationwide annual cross-sectional survey conducted for the past 15 years. This study aimed to report trends in the overall screening rates of both organized and opportunistic cancer screening programs from 2004–2018.

Materials and Methods

KNCSS data were collected using a structured questionnaire. For five major cancers (i.e., stomach, liver, colorectal, breast, and cervical cancer), we evaluated both the lifetime screening rate and the screening rate with recommendations. The study population included men aged 40–74 years and women aged 20–74 years with no cancer histories.

Results

Screening rate with recommendations increased from 2004 annually by 4.4% and 1.5% until 2013 for stomach and liver cancers, respectively, by 4.0% until 2012 for breast cancer, and by 3.6% and 1.2% until 2014 for colorectal and cervical cancers, respectively, followed by nonsignificant trends thereafter. In 2018, screening rates with recommendations for these cancers were 72.8%, 26.2%, 63.1%, 58.4%, and 55.6%, respectively.

Conclusion

Screening rates for the five types of cancer demonstrated a marked increase between 2004 and 2018. However, many recent screening rates have been flattened with nonsignificant trends, and there are lower rates for cervical cancer screening among young age groups. Steady efforts are needed to achieve higher screening participation rates overall, especially for the cervical cancer screening of young women in their 20s.

Application and development of aptamer in cancer: from clinical diagnosis to cancer therapy

Traditional anticancer therapies can cause serious side effects in clinical treatment due to their nonspecific of tumor cells. Aptamers, also termed as 'chemical antibodies', are short DNA or RNA oligonucleotides selected from the synthetic large random single-strand oligonucleotide library by systematic evolution of ligands by exponential enrichment (SELEX) to bind to lots of different targets, such as proteins or nucleic acid structures. Aptamers have good affinities and high specificity with target molecules, thus may be able to act as drugs themselves to directly inhibit the proliferation of tumor cells, or own great potentialities in the targeted drug delivery systems which can be used in tumor diagnosis and target specific tumor cells, thereby minimizing the toxicity to normal cells. Here we review the unique properties of aptamer represents a great opportunity when applied to the rapidly developing fields of biotechnology and discuss the recent developments in the use of aptamers as powerful tools for analytic, diagnostic and therapeutic applications for cancer.

Neuromodulation and the Epidemiology of Magnetic Resonance Utilization for Lung, Breast, Colon, and Prostate Cancer

BACKGROUND

Neuromodulation is a growing therapeutic modality for the treatment of chronic pain. Determining whether a patient is an appropriate candidate for implantation of a neuromodulatory device and whether the device requires an MRI conditional feature necessitates understanding the patient's likelihood of requiring an MRI. Active treatment of cancer represents known high-risk clinical scenarios for MRI. However, the growth of MRI as a tool for diagnosis of cancer also warrants consideration by implanting physicians when assessing high-risk patients.

MATERIALS AND METHODS

Here, we conduct a systematic review of the literature to determine the epidemiology for MR utilization for breast, lung, prostate, and colon cancer. Out of 126 papers reviewed, 39 were ultimately analyzed to determine the relative likelihood of an MRI in the course of oncologic care.

RESULTS

We find that there is a low likelihood for MRI to be utilized as part of any screening process and a variable likelihood during the staging and surveillance phases across all cancer subtypes depending on the clinical circumstances. Certain populations present special consideration for MRI screening, such as the high at-risk breast cancer population, and MRI surveillance and staging, such as aging males (>50 years old) at risk for prostate cancer or individuals diagnosed with rectal cancers.

CONCLUSION

High likelihood of MRI within the oncologic context represents important distinction criteria for neuromodulation as patients may benefit from implantation of an MR conditional system.

Factors associated with receipt of mammogram among caregivers: a comparison with non-caregivers

BACKGROUND

caregiving responsibilities significantly impact females' decisions on adhering to preventive mammography. The purpose of this study is to examine (1) the levels of mammogram receipt, (2) the role of caregiving factors on the receipt of mammogram in caregiving group, and (3) the role of cancer beliefs on mammogram screening in caregivers and non-caregivers.

METHODS

the 2017 Health Information National Trends Survey (HINTS) provides samples of 1228 women aged 40 to 75 years old for this secondary analysis. By using Andersen's Behavioral Model of Health Services Use, a binomial logistic regression model was used to analyze associations between mammography and socioeconomic factors, caregiving factors, and cancer belief factors.

RESULTS

caregivers who provided more caregiving hours per week (OR = 0.749, 95% CI = 0.564-0.94) and caregivers who had the belief of rather not knowing the likelihood of getting cancer (OR = 0.673, 95% CI = 0.496-0.914) were less likely to use mammogram. However, caregivers who believed cancer is more common than heart disease (OR = 1.490, 95% CI = 1.302-2.151) were more likely to use a mammogram. Non-caregivers who worried about getting cancer (OR = 1.158, 95% CI = 0.793-1.691) were more likely to use mammogram, but non-caregivers who had the belief of rather not know the likelihood of getting cancer (OR = 0.825, 95% CI = 0.713-0.955) were less likely to use mammogram.

CONCLUSIONS

to support caregivers' breast cancer prevention, caregiving-related policies based on caregiving hours should be developed. Particularly, effort to promote breast cancer screening education and care support among older primary caregivers will likely increase their adherence to preventive mammography uptake. The development of targeted cancer prevention interventions on specific cancer beliefs held by both groups are also urgently needed to promote mammography.

Inhibition of protein tyrosine phosphatase receptor type F suppresses Wnt signaling in colorectal cancer

Wnt signaling dysregulation promotes tumorigenesis in colorectal cancer (CRC). We investigated the role of PTPRF, a receptor-type tyrosine phosphatase, in regulating Wnt signaling in CRC. Knockdown of PTPRF decreased cell proliferation in patient-derived primary colon cancer cells and established CRC cell lines. In addition, the rate of proliferation as well as colony formation ability were significantly decreased cells in tumor organoids grown in 3D, whereas the number of differentiated tumor organoids were markedly increased. Consistently, knockdown of PTPRF resulted in a decrease in the expression of genes associated cancer stem cells downstream of Wnt/β-catenin signaling. Treating PTPRF knockdown cells with GSK3 inhibitor rescued the expression of Wnt target genes suggesting that PTPRF functions upstream of the β-catenin destruction complex. PTPRF was found to interact with LRP6 and silencing PTPRF largely decreased the activation of LRP6. Interestingly, this PTPRF-mediated activation of Wnt signaling was blocked in cells treated with clathrin endocytosis inhibitor. Furthermore, knockdown of PTPRF inhibited xenograft tumor growth in vivo and decreased the expression of Wnt target genes. Taken together, our studies identify a novel role of PTPRF as an oncogenic protein phosphatase in supporting the activation of Wnt signaling in CRC.

Doxorubicin hydrochloride loaded nanotextured films as a novel drug delivery platform for ovarian cancer treatment

An approach for cancer treatment is modulation of tumor microenvironment. Based on the role of extracellular matrix in cell modulation, fabrication of textured materials mimicking extracellular matrix could provide novel opportunities such as determining cancer cell behaviour. With this background, in this work, we have fabricated doxorubicin hydrochloride loaded nanotextured films which promote topographical attachment of cancer cells to film surface, and eliminate cells by release of the anti-cancer drug encapsulated within the films. These films are designed to be placed during surgical removal of the tumor with the intent to prevent ovarian cancer recurrence by capturing cancer cell residuals. With this aim, hemispherical protrusion shaped surface textures were acquired using colloidal lithography technique using 280 nm, 210 nm or 99 nm polystyrene particles. Once moulds were formed, nanotextured films were obtained by casting water-in-oil stable polycaprolactone emulsions encapsulating doxorubicin hydrochloride. Films were then characterized, and evaluated as drug delivery systems. According to results, we found that template morphologies were successfully transferred to films by atomic force microscopy studies. Hydrophilic surfaces were formed with contact angle values around 40°. In-vitro drug release studies indicated that nanotextured films best fit into the Higuchi model, and ∼30% of the drug is released from the films within 60 days. Cell culture results indicated increases in the attachment and viability of human ovarian cancer cells to nanotextured surfaces, particularly to the film fabricated using 99 nm particles. Our results demonstrated that delivery of anti-cancer drugs by use of nanotextured materials could be efficient in cancer therapy, and may offer new possibilities for cancer treatment.