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

Risk of Incident and Fatal Colorectal Cancer After Young-Onset Adenoma Diagnosis: A National Cohort Study

INTRODUCTION

Colorectal cancer (CRC) incidence and mortality rates are increasing in adults aged <50 years. Young-onset adenoma (YOA)-adenoma detected in adults younger than 50 years-may signify increased CRC risk, but this association has not been widely studied. Our aim was to compare the risk of incident and fatal CRC in adults aged <50 years with YOA diagnosis compared with those with a normal colonoscopy.

METHODS

We conducted a cohort study of US Veterans aged 18-49 years who received colonoscopy between 2005 and 2016. The primary exposure of interest was YOA. Primary outcomes included incident and fatal CRC. We used Kaplan-Meier curves to calculate cumulative incident and fatal CRC risk and Cox models to examine relative CRC risk.

RESULTS

The study cohort included 54,284 Veterans aged <50 years exposed to colonoscopy, among whom 13% (n = 7,233) had YOA at start of follow-up. Cumulative 10-year CRC incidence was 0.11% (95% confidence interval [CI]: 0.00%-0.27%) after any adenoma diagnosis, 0.18% (95% CI: 0.02%-0.53%) after advanced YOA diagnosis, 0.10% (95% CI: 0.00%-0.28%) after nonadvanced adenoma diagnosis, and 0.06% (95% CI: 0.02%-0.09%) after normal colonoscopy. Veterans with advanced adenoma had 8-fold greater incident CRC risk than those with normal colonoscopy (hazard ratio: 8.0; 95% CI: 1.8-35.6). Across groups, no differences in fatal CRC risk were observed.

DISCUSSION

Young-onset advanced adenoma diagnosis was associated with 8-fold increased incident CRC risk compared with normal colonoscopy. However, cumulative CRC incidence and mortality at 10 years among individuals with either young onset non-advanced or advanced adenoma diagnosis were both relatively low.

Unmasking the Hidden Danger: A Decade-Long Systematic Review of Case-Control Studies on Single Occupational Risks and Prostate Cancer

The present systematic review addresses the influence of occupational exposures on prostate cancer risk. Eleven studies were analyzed for a range of occupational exposures, including but not limited to firefighting, physical activity, night shift work, chemical exposure, and solar ultraviolet radiation. The results of the review reveal that firefighters exposed to harmful substances, individuals engaged in physically strenuous work, and workers with chronic night shift routines showed an increased likelihood of developing prostate cancer. Moreover, the review identified an increased risk associated with exposure to certain chemicals, including alkylphenolic compounds and benzene-related substances. The evidence underscores the importance of considering the cumulative effect of multiple risk factors in a comprehensive risk assessment. However, the conclusions indicate the necessity for further research to deepen these relationships and develop more effective strategies for the prevention of prostate cancer.

Racial differences in long-term social, physical, and psychological health among adolescent and young adult cancer survivors

BACKGROUND

The current guidelines for survivorship in adolescents and young adults (AYA) cancer are based on studies conducted in the United States and European AYA survivors. However, previous studies have shown that the health-related quality of life in cancer survivors can vary depending on race, yet the long-term health differences among AYA survivors by race/ethnicity have not been fully explored. Therefore, our aim is to compare the psychosocial and physical health of AYA survivors and their matched controls across different racial and ethnic groups.

METHODS

We conducted a cross-sectional study using US National Health and Nutrition Examination Survey (NHANES) and the Korea NHANES from 2007 to 2018. We included AYA cancer survivors who were diagnosed with any type of cancer aged between 15 and 39 years, and who were adult with aged over 18 years old at survey year. We then stratified the study population by race/ethnicity with Non-Hispanic White (NHW, n = 310), African American (AA, n = 42), Hispanic (n = 81) from NHANES, and Asian (n = 389) from the Korea NHANES. We also selected 5 times age-, sex-, race-, and survey year-matched general population among participants who had never been diagnosed with cancer (N = 4110). Variables were defined using questionnaire data, physical exams, and laboratory tests.

RESULTS

Compared to NHW, Hispanics (aOR 1.15, 95% CI 1.00-1.32) had poor or fair general health, lower education (aOR 1.23, 95% CI 1.07-1.40), and lower household income (aOR 1.16, 95% CI 1.01-1.33). AA survivors were more likely to be non-coupled (aOR 1.35, 95% 1.15-1.60) and have hypertension (aOR 1.18, 95% CI 1.03-1.36). Asians were more former/current drinkers (aOR 1.21, 95% CI 1.05-1.40). NHW are more likely to experience psychological limitation. Compared to matched general, NHW and Asian survivors had poor general health and psychological health.

CONCLUSIONS

This study provides evidence for future studies concerning long-term health after AYA cancer survivorship that may vary according to race.

Identification of non-small cell lung cancer with chronic obstructive pulmonary disease using clinical symptoms and routine examination: a retrospective study

Background

Patients with non-small cell lung cancer (NSCLC) and patients with NSCLC combined with chronic obstructive pulmonary disease (COPD) have similar physiological conditions in early stages, and the latter have shorter survival times and higher mortality rates. The purpose of this study was to develop and compare machine learning models to identify future diagnoses of COPD combined with NSCLC patients based on the patient's disease and routine clinical data.

Methods

Data were obtained from 237 patients with COPD combined with NSCLC as well as NSCLC admitted to Ningxia Hui Autonomous Region People's Hospital from October 2013 to July 2022. Six machine learning algorithms (K-nearest neighbor, logistic regression, eXtreme gradient boosting, support vector machine, naïve Bayes, and artificial neural network) were used to develop prediction models for NSCLC combined with COPD. Sensitivity, specificity, positive predictive value, negative predictive value, accuracy, F1 score, Mathews correlation coefficient (MCC), Kappa, area under the receiver operating characteristic curve (AUROC)and area under the precision-recall curve (AUPRC) were used as performance indicators to evaluate the performance of the models.

Results

135 patients with NSCLC combined with COPD, 102 patients with NSCLC were included in the study. The results showed that pulmonary function and emphysema were important risk factors and that the support vector machine-based identification model showed optimal performance with accuracy:0.946, recall:0.940, specificity:0.955, precision:0.972, npv:0.920, F1 score:0.954, MCC:0.893, Kappa:0.888, AUROC:0.975, AUPRC:0.987.

Conclusion

The use of machine learning tools combining clinical symptoms and routine examination data features is suitable for identifying the risk of concurrent NSCLC in COPD patients.

Screening of malignant neoplasms: the state of the problem in Russia and the world

A number of objective and subjective reasons, such as aging of the population, environmental, economic and other factors, determine the trend of increasing incidence of malignant neoplasms worldwide. According to GLOBOCAN 2020 forecasts, in the coming years, prostate, lung and bronchial cancer, colorectal cancer will account for almost half (48%) of all cases of the disease in men, of which 27% are prostate cancer. In women, breast cancer, lung cancer and colorectal cancer will account for about 51% of all new diagnoses, while breast cancer alone will account for about 30%. In 2021, the Ministry of Health of the Russian Federation approved the Procedure for preventive examinations and medical examinations, within the framework of which screening measures for early detection of oncological diseases are carried out, the procedure for dispensary observation of certain groups of the adult population by specialist doctors is approved, the duration, frequency of dispensary observation, the scope of preventive, diagnostic, therapeutic and rehabilitation measures are determined. The aim of the review: to present epidemiological data on the most common forms of cancer in Russia and the world; current recommendations on the organization of screening and its informative value; primary prevention measures.

Cancer Associated Macrophage-like Cells Are Prognostic for Highly Aggressive Prostate Cancer in Both the Non-Metastatic and Metastatic Settings

Despite advancements in the early-stage detection and expansion of treatments for prostate cancer (PCa), patient mortality rates remain high in patients with aggressive disease and the overtreatment of indolent disease remains a major issue. Prostate-specific antigen (PSA), a standard PCa blood biomarker, is limited in its ability to differentiate disease subtypes resulting in the overtreatment of non-aggressive indolent disease. Here we assess engorged cancer-associated macrophage-like cells (CAMLs), a ≥50 µm, cancer-specific, polynucleated circulating cell type found in the blood of patients with PCa as a potential companion biomarker to PSA for patient risk stratification. We found that rising PSA is positively correlated with increasing CAML size (r = 0.307, p = 0.004) and number of CAMLs in circulation (r = 0.399, p < 0.001). Over a 2-year period, the presence of a single engorged CAML was associated with 20.9 times increased likelihood of progression (p = 0.016) in non-metastatic PCa, and 2.4 times likelihood of progression (p = 0.031) with 5.4 times likelihood of death (p < 0.001) in metastatic PCa. These preliminary data suggest that CAML cell monitoring, in combination with PSA, may aid in differentiating non-aggressive from aggressive PCas by adding biological information that complements traditional clinical biomarkers, thereby helping guide treatment strategies.

Initial Longitudinal Outcomes of Risk-Stratified Men in Their Forties Screened for Prostate Cancer Following Implementation of a Baseline Prostate-Specific Antigen

PURPOSE

Prostate cancer (PCa) screening can lead to potential over-diagnosis/over-treatment of indolent cancers. There is a need to optimize practices to better risk-stratify patients. We examined initial longitudinal outcomes of mid-life men with an elevated baseline prostate-specific antigen (PSA) following initiation of a novel screening program within a system-wide network.

MATERIALS AND METHODS

We assessed our primary care network patients ages 40 to 49 years with a PSA measured following implementation of an electronic health record screening algorithm from 2/2/2017-2/21/2018. The multidisciplinary algorithm was developed taking factors including age, race, family history, and PSA into consideration to provide a personalized approach to urology referral to be used with shared decision-making. Outcomes of men with PSA ≥1.5 ng/mL were evaluated through 7/2021. Statistical analyses identified factors associated with PCa detection. Clinically significant PCa (csPCa) was defined as Gleason Grade Group (GGG) ≥2 or GGG1 with PSA ≥10 ng/mL.

RESULTS

The study cohort contained 564 patients, with 330 (58.5%) referred to urology for elevated PSA. Forty-nine (8.7%) underwent biopsy; of these, 20 (40.8%) returned with PCa. Eleven (2.0% of total cohort and 55% of PCa diagnoses) had csPCa. Early referral timing (odds ratio [OR], 4.58) and higher PSA (OR, 1.07) were significantly associated with PCa at biopsy on multivariable analysis (both p<0.05), while other risk factors were not. Referred patients had higher mean PSAs (2.97 vs. 1.98, p=0.001).

CONCLUSIONS

Preliminary outcomes following implementation of a multidisciplinary screening algorithm identified PCa in a small, important percentage of men in their forties. These results provide insight into baseline PSA measurement to provide early risk stratification and detection of csPCa in patients with otherwise extended life expectancy. Further follow-up is needed to possibly determine the prognostic significance of such mid-life screening and optimize primary care physician-urologist coordination.

The Seroprevalence of Hepatitis A in Patients with Positive Human Immunodeficiency Virus

Background: Hepatitis A virus (HAV) can have severe manifestations in adult patients with other liver diseases, particularly in those infected with human immunodeficiency virus (HIV). This study aimed to measure immunity against HAV in HIV-positive individuals to determine the necessity of vaccination against HAV in this population. Methods: This cross-sectional study investigated 171 HIV-positive patients aged 18 years or older who were tested for serum IgG anti-viral hepatitis A antibody. The prevalence and its determinants were analyzed based on patient data. Results: The average age of the patients was 44.2 years old. The prevalence of HAV antibody positivity was 97.7%. The prevalence was higher in patients older than 30 years. There was a close association between hepatitis C virus (HCV) infection (P=0.002). There were no significant correlations between antibody levels and sex, marital status, employment status, education level, economic status, smoking status, drug use status, and physical activity level. The mean and median CD4+ counts in patients with positive (reactive) antibody (Ab) levels were 458 and 404±294, respectively, while the mean and median CD4+ counts in patients with non-reactive antibody levels were 806 and 737±137, respectively, in those who tested negative for anti-HAV Ab (P=0.05). Conclusion: The prevalence of anti-hepatitis A IgG antibodies in people with HIV was very high in Shiraz. There is an increasing trend in the number of older patients and those with HCV infections. The negative association with CD4 was borderline in this study, which needs to be confirmed in larger groups.

Effect of flexible sigmoidoscopy-based screening on colorectal cancer incidence and mortality: an updated systematic review and meta-analysis of randomized controlled trials

OBJECTIVE

Our objective was to estimate the effect of flexible sigmoidoscopy (FS)-based screening on colorectal cancer (CRC) incidence and mortality by conducting an updated meta-analysis of randomized controlled trials (RCTs).

METHODS

PubMed, Web of Science, Embase, and Cochrane Library searched for RCTs from database inception to December 2022. The methodological quality of the RCTs was assessed using the Cochrane Collaboration Risk of Bias Tool. RevMan 5.4 was used for this meta-analysis.

RESULTS

Four RCTs involving 457, 871 patients were included. This meta-analysis revealed that FS-based screening was associated with a 20% relative risk reduction in CRC incidence [RR = 0.80; 95% CI (0.75, 0.86); P < 0.00001], and a 24% reduction in CRC mortality [RR = 0.76; 95% CI (0.70, 0.82); P < 0.00001]. In addition, this meta-analysis revealed that FS-based screening reduced the incidence[RR = 0.68; 95% CI (0.60, 0.77); P < 0.00001] and mortality[RR = 0.64; 95% CI (0.49, 0.83); P = 0.0007] of distal CRC, but had no significant effect on proximal colon cancer.

CONCLUSION

FS-based screening appeared to be effective in reducing distal CRC incidence and mortality in patients at average risk compared to no intervention, but had no significant effect on proximal colon cancer.

Women 75 Years Old or Older: To Screen or Not to Screen?

Breast cancer is the most common cancer in women, with the incidence rising substantially with age. Older women are a vulnerable population at increased risk of developing and dying from breast cancer. However, women aged 75 years and older were excluded from all randomized controlled screening trials, so the best available data regarding screening benefits and risks in this age group are from observational studies and modeling predictions. Benefits of screening in older women are the same as those in younger women: early detection of smaller lower-stage cancers, resulting in less invasive treatment and lower morbidity and mortality. Mammography performs significantly better in older women with higher sensitivity, specificity, cancer detection rate, and positive predictive values, accompanied by lower recall rates and false positives. The overdiagnosis rate is low, with benefits outweighing risks until age 90 years. Although there are conflicting national and international guidelines about whether to continue screening mammography in women beyond age 74 years, clinicians can use shared decision making to help women make decisions about screening and fully engage them in the screening process. For women aged 75 years and older in good health, continuing annual screening mammography will save the most lives. An informed discussion of the benefits and risks of screening mammography in older women needs to include each woman's individual values, overall health status, and comorbidities. This article will review the benefits, risks, and controversies surrounding screening mammography in women 75 years old and older and compare the current recommendations for screening this population from national and international professional organizations. ^©RSNA, 2023 Quiz questions for this article are available through the Online Learning Center.

Mucins as Potential Biomarkers for Early Detection of Cancer

Early detection significantly correlates with improved survival in cancer patients. So far, a limited number of biomarkers have been validated to diagnose cancers at an early stage. Considering the leading cancer types that contribute to more than 50% of deaths in the USA, we discuss the ongoing endeavors toward early detection of lung, breast, ovarian, colon, prostate, liver, and pancreatic cancers to highlight the significance of mucin glycoproteins in cancer diagnosis. As mucin deregulation is one of the earliest events in most epithelial malignancies following oncogenic transformation, these high-molecular-weight glycoproteins are considered potential candidates for biomarker development. The diagnostic potential of mucins is mainly attributed to their deregulated expression, altered glycosylation, splicing, and ability to induce autoantibodies. Secretory and shed mucins are commonly detected in patients' sera, body fluids, and tumor biopsies. For instance, CA125, also called MUC16, is one of the biomarkers implemented for the diagnosis of ovarian cancer and is currently being investigated for other malignancies. Similarly, MUC5AC, a secretory mucin, is a potential biomarker for pancreatic cancer. Moreover, anti-mucin autoantibodies and mucin-packaged exosomes have opened new avenues of biomarker development for early cancer diagnosis. In this review, we discuss the diagnostic potential of mucins in epithelial cancers and provide evidence and a rationale for developing a mucin-based biomarker panel for early cancer detection.

Ferroptosis: challenges and opportunities for nanomaterials in cancer therapy

Ferroptosis, a completely new form of regulated cell death, is mainly caused by an imbalance between oxidative damage and reductive protection and has shown great anti-cancer potential. However, existing small-molecule ferroptosis inducers have various limitations, such as poor water solubility, drug resistance and low targeting ability, hindering their clinical applications. Nanotechnology provides new opportunities for ferroptosis-driven tumor therapy. Especially, stimuli-responsive nanomaterials stand out among others and have been widely researched because of their unique spatiotemporal control advantages. Therefore, it's necessary to summarize the application of those stimuli-responsive nanomaterials in ferroptosis. Here, we describe the physiological feature of ferroptosis and illustrate the current challenges to induce ferroptosis for cancer therapy. Then, nanomaterials that induce ferroptosis are classified and elaborated according to the external and internal stimuli. Finally, the future perspectives in the field are proposed. We hope this review facilitates paving the way for the design of intelligent nano-ferroptosis inducers.

Public Knowledge, Practice, and Attitude Regarding Cancer Screening: A Community-Based Study in Saudi Arabia

(1) Background: Cancer screening tests discover cancer at early stages, even before symptoms appear. When abnormal tissues or a malignant mass is found early, treatment and cure rates are improved. In late stages, the cancer may have grown and metastasized. This can negatively affect cancer treatment and reduce the overall survival rate. Screening tests are performed when a person is asymptomatic. Public awareness about cancer screening is crucial for the success of cancer screening programs and for consequently decreasing the morbidity and mortality rate due to cancer. (2) Aim: Assess the knowledge and perception of the community regarding cancer screening in Saudi Arabia. (3) Methodology: A descriptive cross-sectional study targeting the general population of Saudi Arabia was conducted from January to June 2022. The data were collected using a structured validated electronic questionnaire. The study questionnaire covered participants' personal data, medical history, source of data, and participants' knowledge, attitude, and practice items. The questionnaire was used as a digital survey and was distributed electronically to the target population. (4) Results: A total of 1313 participants completed the study questionnaire. The participants' ages ranged from 18 to 67 years, with a mean age of 28.3 ± 11.4 years old. Overall, 60.4% of the study participants knew about cancer screening. Regarding the benefits of cancer screening, 91.8% of the participants reported knowing that the early detection of cancer helps treatment, and 81.1% knew that the early detection of cancer improves treatment outcomes. Moreover, 441 (33.6%) of the participants had good knowledge regarding cancer and cancer screening, while 872 (66.4%) had poor levels of knowledge. Furthermore, 106 (8.1%) of the participants underwent cancer screening. (5) Conclusions: The study results revealed that participants' awareness regarding cancer and cancer screening was low, especially for approaches to reduce cancer risk. Additionally, the study participants' practice regarding cancer screening was low. The health care authority should plan for population-based efficacious cancer screening programs. In addition, cancer screening information and the benefits of early detection can be disseminated through social media to target the desired populations.

Identification of Key Biomarkers and Candidate Molecules in Non-Small-Cell Lung Cancer by Integrated Bioinformatics Analysis

Background

Non-small cell lung cancer (NSCLC) is the most prevalent malignant tumor of the lung cancer, for which the molecular mechanisms remain unknown. In this study, we identified novel biomarkers associated with the pathogenesis of NSCLC aiming to provide new diagnostic and therapeutic approaches for NSCLC by bioinformatics analysis.

Methods

From the Gene Expression Omnibus database, GSE118370 and GSE10072 microarray datasets were obtained. Identifying the differentially expressed genes (DEGs) between lung adenocarcinoma and normal samples was done. By using bioinformatics tools, a protein-protein interaction (PPI) network was constructed, modules were analyzed, and enrichment analyses were performed. The expression and prognostic values of 14 hub genes were validated by the GEPIA database, and the correlation between hub genes and survival in lung adenocarcinoma was assessed by UALCAN, cBioPortal, String and Cytoscape, and Timer tools.

Results

We found three genes (PIK3R1, SPP1, and PECAM1) that have a clear correlation with OS in the lung adenocarcinoma patient. It has been found that lung adenocarcinoma exhibits high expression of SPP1 and that this has been associated with poor prognosis, while low expression of PECAM1 and PIK3R1 is associated with poor prognosis (P < 0.05). We also found that the expression of SPP1 was associated with miR-146a-5p, while the high expression of miR-146a-5p was related to good prognosis (P < 0.05). On the contrary, the lower miR-21-5p on upstream of PIK3R1 is associated with a higher surviving rate in cancer patients (P < 0.05). Finally, we found that the immune checkpoint genes CD274(PD-L1) and PDCD1LG2(PD-1) were also related to SPP1 in lung adenocarcinoma.

Conclusions

The results indicated that SPP1 is a cancer promoter (oncogene), while PECAM1 and PIK3R1 are cancer suppressor genes. These genes take part in the regulation of biological activities in lung adenocarcinoma, which provides a basis for improving detection and immunotherapeutic targets for lung adenocarcinoma.

Unveiling the Significance and Challenges of Integrating Prevention Levels in Healthcare Practice

In recent years, there has been a global increase in human life expectancy, but preventable morbidity and mortality remain significant concerns. To address these issues, preventive healthcare practice has gained importance in various healthcare disciplines. Its goal is to maintain and promote health, reduce risk factors, diagnose illnesses early, and prevent complications. This approach encompasses different stages of disease progression, including primordial prevention, primary prevention, secondary prevention, tertiary prevention, and quaternary prevention. Primordial prevention focuses on addressing root causes and social determinants of diseases to prevent the emergence and development of risk factors. Primary prevention aims to prevent diseases before they occur by implementing interventions such as vaccinations and health education. Secondary prevention focuses on early detection and prompt intervention to prevent the progression of diseases. Tertiary prevention manages the consequences of diseases by restoring health and providing rehabilitation. Lastly, quaternary prevention aims to protect patients from unnecessary medical interventions and harm caused by excessive medicalization. Despite the recognition of the cost-effectiveness of preventive measures, a significant portion of healthcare resources and attention is still allocated to disease management, and only a small percentage of individuals receive all recommended preventive services. Healthcare providers need to prioritize the implementation of preventive care services, even when clinical interventions are necessary, and overcome barriers to preventive care. By investing in preventive care and implementing these strategies, healthcare practitioners can play a crucial role in disease prevention and contribute to the well-being of individuals, families, communities, and countries.

Observational analysis of clinical and pathological characteristics and their prognostic impact in Mexican patients with breast cancer: A multi-center study

Breast cancer is the most incidental and deadly neoplasm worldwide; in Mexico, very few epidemiologic reports have analyzed the pathological features and its impact on their clinical outcome. Here, we studied the relation between pathological features and the clinical presentation at diagnosis and their impact on the overall and progression-free survival of patients with breast cancer. For this purpose, we collected 199 clinical records of female patients, aged at least 18 years old (y/o), with breast cancer diagnosis confirmed by biopsy. We excluded patients with incomplete or conflicting clinical records. Afterward, we performed an analysis of overall and progression-free survival and associated risks. Our results showed an average age at diagnosis of 52 y/o (24-85), the most common features were: upper outer quadrant tumor (32%), invasive ductal carcinoma (76.8%), moderately differentiated (44.3%), early clinical stages (40.8%), asymptomatic patients (47.8%), luminal A subtype (47.8%). Median overall survival was not reached, but median progression-free survival was 32.2 months (29.75-34.64, CI 95%) associated risk were: clinical stage (p < 0.0001) symptomatic presentation (p = 0.009) and histologic grade (p = 0.02). Therefore, we concluded that symptom presence at diagnosis impacts progression-free survival, and palpable symptoms are related to an increased risk for mortality.

Acupuncture therapy for radiotherapy-induced adverse effect: A systematic review and network meta-analysis

Objective

To evaluate the efficacy of different acupuncture therapies for radiotherapy-induced adverse effects (RIAEs) and find out the optimal scheme.

Methods

Eligible randomized controlled trials (RCTs) were collected from inception to June 2020 from 9 bibliographic databases. The risk of bias evaluation of the analyzed literature was carried out using the Cochrane risk-of-bias tool. Network meta-analysis was mainly performed using STATA 14.2 and OpenBUGS 3.2.3 by figuring out the network diagrams, league figures, and SUCRA values.

Results

A total of 41 studies with 3,011 participants reported data suitable for network meta-analysis. There was a low to moderate risk of bias in twenty of the articles. ST36 was the most widely prescribed acupoint. Based on network meta-analysis, four outcome indicators were described, namely, acupuncture + medication ranked first in treating radiation enteritis, moxibustion + medication ranked first in preventing radiotherapy-induced leukopenia, acupuncture + medication ranked first in preventing radioactive oral mucositis, and acupuncture ranked first in improving the stimulated salivary flow rate of radioactive xerostomia.

Conclusion

The findings of the network meta-analysis manifested that acupuncture therapy combined with medication has superiority in most RIAEs, both reducing incidence and relieving symptoms. However, high-quality studies are still needed to provide conclusive evidence.

Systematic review registration

https://inplasy.com/inplasy-2020-7-0054/, identifier: INPLASY202070054.

Proficiency testing of PIK3CA mutations in HR+/HER2-breast cancer on liquid biopsy and tissue

Precision oncology based on specific molecular alterations requires precise and reliable detection of therapeutic targets in order to initiate the optimal treatment. In many European countries—including Germany—assays employed for this purpose are highly diverse and not prescribed by authorities, making inter-laboratory comparison difficult. To ensure reproducible molecular diagnostic results across many laboratories and different assays, ring trials are essential and a well-established tool. Here, we describe the design and results of the ring trial for the detection of therapeutically relevant PIK3CA hotspot mutations in HR+/HER2-breast cancer tissue and liquid biopsy (LB). For PIK3CA mutation detection in tissue samples, 43 of the 54 participants (80%) provided results compliant with the reference values. Participants using NGS-based assays showed higher success rate (82%) than those employing Sanger sequencing (57%). LB testing was performed with two reference materials differing in the length of the mutated DNA fragments. Most participants used NGS-based or commercial real-time PCR assays (70%). The 167 bp fragments led to a successful PIK3CA mutation detection by only 31% of participants whereas longer fragments of 490 bp were detectable even by non-optimal assays (83%). In conclusion, the first ring trial for PIK3CA mutation detection in Germany showed that PIK3CA mutation analysis is broadly established for tissue samples and that NGS-based tests seem to be more suitable than Sanger sequencing. PIK3CA mutation detection in LB should be carried out with assays specifically designed for this purpose in order to avoid false-negative results.

Effect of Incidental Findings Information on Lung Cancer Screening Intent: a Randomized Controlled Trial

BACKGROUND

The Centers for Medicare & Medicaid Services requires decision aid use for lung cancer screening (LCS) shared decision-making. However, it does not require information about incidental findings, a potential harm of screening.

OBJECTIVE

To assess the effect of incidental findings information in an LCS decision aid on screening intent as well as knowledge and valuing of screening benefits and harms.

DESIGN

Randomized controlled trial conducted online between July 16, 2020, and August 22, 2020.

PARTICIPANTS

Adults 55-80 years, eligible for LCS.

INTERVENTION

LCS video decision aid including information on incidental findings or a control video decision aid.

MAIN MEASURES

Intent to undergo LCS; knowledge regarding the benefit and harms of LCS using six knowledge questions; and valuing of six benefits and harms using rating (1-5 scale, 5 most important) and ranking (ranked 1-6) exercises.

KEY RESULTS

Of 427 eligible individuals approached, 348 (83.1%) completed the study (173 intervention, 175 control). Mean age was 64.5 years, 48.6% were male, 73.0% white, 76.3% with less than a college degree, and 64.1% with income < $50,000. There was no difference between the intervention and controls in percentage intending to pursue screening (70/173, 40.5% vs 73/175, 41.7%, diff 1.2%, 95% CI - 9.1 to 11.5%, p = 0.81). Intervention participants had a higher percentage of correct answers for the incidental findings knowledge than controls (164/173, 94.8% vs 129/175, 73.7%, 95% CI - 28.4 to - 13.8%, p < 0.01). Incidental findings had the fifth highest mean importance rating (4.0 ± 1.1) and the third highest mean ranking (3.6 ± 1.5). There was no difference in mean rating or ranking of incidental findings between intervention and control groups (rating 4.0 vs 3.9, diff 0.1, 95% CI - 0.2, 0.3, p = 0.51; ranking 3.6 vs 3.6, diff 0.02, 95% CI - 0.3, 0.3, p = 0.89).

CONCLUSIONS

Incidental findings information in a LCS decision aid did not affect LCS intent, but it resulted in more informed individuals regarding these findings. In formulating screening preferences, incidental findings were less important than other benefits and harms.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT04432753.

Prostate Cancer Screening Disparities in Persons Experiencing Homelessness

PURPOSE

The purpose of this study was to assess prostate-specific antigen (PSA) testing rates in persons experiencing homelessness (PEH), identify factors associated with screening, and compare PSA screening rates in PEH with a matched cohort of persons not experiencing homelessness (non-PEH).

MATERIALS AND METHODS

We identified 9,249 potentially eligible PEH cared for at a large metropolitan hospital system from an institutional registry of all patients who presented to the health care system as homeless from 2014 to 2021. Homelessness was defined by the presence of the Z-code for homelessness (Z59), the listed address matching to the address of a homeless shelter or other transitional housing or a positive screen for homelessness. A matched cohort of 10,000 non-PEH was generated for comparison. Univariate chi-square analysis and multivariate logistic regression were performed to evaluate variables associated with PSA testing.

RESULTS

A total of 1,605 PEH and 3,413 non-PEH were eligible for PSA screening within the study timeframe. Half of PEH were Black (50%). Medicaid was the most common insurance (51%), followed by Medicare (18%). PEH were less likely to have a PCP (58% v 81%, P < .001) and had a significantly lower PSA testing rate (13% v 34%, P < .001) compared with non-PEH. Univariate analysis revealed that PSA testing was more common in PEH who were employed (P < .001), had private insurance or Medicare (P < .001), or had an established primary care provider (PCP; P < .001). Multivariate analysis confirmed that having a PCP (OR, 2.54; 95% CI, 1.62 to 4.00; P < .001) significantly increased the likelihood of PSA testing in PEH.

CONCLUSION

PEH experience low rates of prostate cancer screening. Interventions to increase screening in this population, including increased PCP access, are needed.

Development of exploratory algorithms to aid in risk of malignancy prediction of indeterminate pulmonary nodules

Early detection of lung cancer allows for earlier stage treatment initiation and improved patient prognosis. This report focuses on utilization of combining patient demographic information with non-invasive biomarkers and their potential ability to predict risk of malignancy of nodules. A pilot study cohort of 141 subjects with IPNs (105 stage I cancer and 36 benign nodules) were collected by RUMC. The demographic variables of gender, age, sex, race, ethnicity, nodule size (mm), and smoking pack years, as well as the plasma levels of CA-125, SCC, CEA, HE4, ProGRP, NSE, Cyfra 21-1, hs-CRP, Ferritin, IgG, IgG1, IgG2, IgG3, IgG4, IgE, IgM, IgA, KFLC, and LFLC, were assessed for this cohort. Multivariable analyses of the previously aforementioned biomarkers and demographic variables yielded a reduced algorithm consisting of CA-125, total IgG, IgA, IgM, IgE, LFLC, nodule size, and smoking pack years with improved performance (AUC 0.82, 95 %CI 0.74-0.90) over the same analysis of the demographic variables (age, nodule size, and smoking pack years) alone (AUC 0.70, 95 %CI 0.61-0.78). This reduced algorithm of biomarkers and demographic variables may aid in assessing the risk of IPN malignancy which could be a useful stratification tool in early detection of lung cancer in high-risk subjects.

A comprehensive prognostic tool for older adults: Predicting death, ADL disability, and walking disability simultaneously

BACKGROUND

Many clinical and financial decisions for older adults depend on the future risk of disability and mortality. Prognostic tools for long-term disability risk in a general population are lacking. We aimed to create a comprehensive prognostic tool that predicts the risk of mortality, of activities of daily living (ADL) disability, and walking disability simultaneously using the same set of variables.

METHODS

We conducted a longitudinal analysis of the nationally-representative Health and Retirement Study (HRS). We included community-dwelling adults aged ≥70 years who completed a core interview in the 2000 wave of HRS, with follow-up through 2018. We evaluated 40 predictors encompassing demographics, diseases, physical functioning, and instrumental ADLs. We applied novel methods to optimize three models simultaneously while prioritizing variables that take less time to ascertain during backward stepwise elimination. The death prediction model used Cox regression and both the models for walking disability and for ADL disability used Fine and Gray competing-risk regression. We examined calibration plots and generated optimism-corrected statistics of discrimination using bootstrapping. To simulate unavailable patient data, we also evaluated models excluding one or two variables from the final model.

RESULTS

In 6646 HRS participants, 2662 developed walking disability, 3570 developed ADL disability, and 5689 died during a median follow-up of 9.5 years. The final prognostic tool had 16 variables. The optimism-corrected integrated area under the curve (iAUC) was 0.799 for mortality, 0.685 for walking disability, and 0.703 for ADL disability. At each percentile of predicted mortality risk, there was a substantial spread in the predicted risks of walking disability and ADL disability. Discrimination and calibration remained good even when missing one or two predictors from the model. This model is now available on ePrognosis (https://eprognosis.ucsf.edu/alexlee.php) CONCLUSIONS: Given the variability in disability risk for people with similar mortality risks, using individualized risks of disabilities may inform clinical and financial decisions for older adults.

Breast self-examination and its associated factors among women who attended anti-retroviral therapy clinic in Bahir Dar city administration, North West Ethiopia

Objective:

Although breast self-examination has been shown to be the least-expensive, less time-consuming, and non-invasive screening method, still there is a gap in practice. Furthermore, the information among more risky population which attends anti-retroviral therapy is too limited. Therefore, the aim of this study is to assess breast self-examination practices and its associated factors among women who attended the anti-retroviral therapy clinic in Bahir Dar city administration, Northwest Ethiopia.

Methods:

An institution-based cross-sectional study was conducted among 660 women who attended anti-retroviral therapy clinics from March 1 to March 30, 2020. A systematic random sampling technique was used to select study participants. Pre-tested interviewer-administered questionnaires were used to collect data. Data were entered in to EPI data 3.1 and exported to Statistical Package for the Social Sciences version 23.00 software for analysis. A binary logistic regression model was fitted to identify factors associated with self-breast examination. Variables with a p value less than 0.2 in bivariable regression were candidates for multivariable regression. Adjusted odds ratios with a 95% confidence intervals and p values less than 0.05 were used to determine the association between independent and dependent variables. Hosmer–Lemeshow Test was used to determine model fitness.

Result:

Among 641 study participants, 224 (34.9%) have ever practiced breast self-examination. Women who attended college or above (adjusted odds ratio = 4.04, 95% confidence interval (1.65,9.90)), rich (adjusted odds ratio = 6.64, 95% confidence interval (2.72,16.20)), knowledgeable about signs and symptoms of breast cancer (adjusted odds ratio = 5.13, 95% confidence interval ( 2.55,10.31)), risk factors for breast cancer (adjusted odds ratio = 3.62, 95% confidence interval (1.85,7.07)), positive attitude toward breast self-examination (adjusted odds ratio = 2.76,95% confidence interval (1.41,11.84)), family history of breast cancer (adjusted odds ratio = 3.68,95% confidence interval (1.14,11.84)), and knowledge about breast self-examination technique (adjusted odds ratio = 2.64, 95% confidence interval (1.23,5.66)) had higher odds of breast self-examination practice.

Conclusion:

The practice of breast self-examination was low. During their regular visits for other issues, education and information dissemination about the benefits and techniques of self-breast examination is recommended.

Attitudes and Practice of Health Care Providers Toward Cancer Screening: A Cross-sectional Multicenter Study, Saudi Arabia

BACKGROUND

Screening is a cancer prevention measure for groups who are asymptomatic, and diagnosis is a medical test for groups who are symptomatic. The occupational privilege of health care providers (HCPs) is expected to play a positive role in cancer screening practices. Therefore, this study aimed to assess perceptions and personal attitudes of HCPs regarding their decision to screen for cancer in the Eastern Province of Saudi Arabia.

DESIGN

A cross-sectional multicenter survey study was conducted. A well-designed and validated questionnaire was distributed to the HCPs at three tertiary hospitals in the Eastern Province of Saudi Arabia.

RESULTS

Out of 900 health care providers who received the questionnaire, 372 completed it. Two-thirds, 247 (66.4%) of them were nurses and the rest were physicians and the mean age was 34.1 ± 7.1 years. Regardless of gender, profession, or age, the overall rate of belief in the importance of regular cancer screening was high; 91.4%. The number of participants who did not screen for colonoscopy was significantly higher than those who screened. The number of females in the age group of between 45 and 54 years who screened with mammography was significantly higher than non-screened. In a similar way, male HCPs above 54 years who got themselves screened for Prostate-Specific Antigen (PSA) were significantly higher than those who did not.

CONCLUSIONS

Findings of the current research and existing evidence specifically for the Saudi community indicated a need to raise awareness, emphasizing the role of HCPs in motivating themselves, their families, and their patients to implement various cancer screening programs.

Integration of Transcriptome and Epigenome to Identify and Develop Prognostic Markers for Ovarian Cancer

DNA methylation is a widely researched epigenetic modification. It is associated with the occurrence and development of cancer and has helped evaluate patients' prognoses. However, most existing DNA methylation prognosis models have not simultaneously considered the changes of the downstream transcriptome. Methods. The RNA-Sequencing data and DNA methylation omics data of ovarian cancer patients were downloaded from The Cancer Genome Atlas (TCGA) database. The Consensus Cluster Plus algorithm was used to construct the methylated molecular subtypes of the ovary. Lasso regression was employed to build a multi-gene signature. An independent data set was applied to verify the prognostic value of the signature. The Gene Set Variation Analysis (GSVA) was used to carry out the enrichment analysis of the pathways linked to the gene signature. The IMvigor 210 cohort was used to explore the predictive efficacy of the gene signature for immunotherapy response. Results. We distinguished ovarian cancer samples into two subtypes with different prognosis, based on the omics data of DNA methylation. Differentially expressed genes and enrichment analysis among subtypes indicated that DNA methylation was related to fatty acid metabolism and the extracellular matrix (ECM)-receptor. Furthermore, we constructed an 8-gene signature, which proved to be efficient and stable in predicting prognostics in ovarian cancer patients with different data sets and distinctive pathological characteristics. Finally, the 8-gene signature could predict patients' responses to immunotherapy. The polymerase chain reaction experiment was further used to verify the expression of 8 genes. Conclusion. We analyzed the prognostic value of the related genes of methylation in ovarian cancer. The 8-gene signature predicted the prognosis and immunotherapy response of ovarian cancer patients well and is expected to be valuable in clinical application.

Protein Panel of Serum-Derived Small Extracellular Vesicles for the Screening and Diagnosis of Epithelial Ovarian Cancer

Although ovarian cancer, a gynecological malignancy, has the highest fatality rate, it still lacks highly specific biomarkers, and the differential diagnosis of ovarian masses remains difficult to determine for gynecologists. Our study aimed to obtain ovarian cancer-specific protein candidates from the circulating small extracellular vesicles (sEVs) and develop a protein panel for ovarian cancer screening and differential diagnosis of ovarian masses. In our study, sEVs derived from the serum of healthy controls and patients with cystadenoma and ovarian cancer were investigated to obtain a cancer-specific proteomic profile. In a discovery cohort, 1119 proteins were identified, and significant differences in the protein profiles of EVs were observed among groups. Then, 23 differentially expressed proteins were assessed using the parallel reaction monitoring in a validation cohort. Through univariate and multivariate logistic regression analyses, a novel model comprising three proteins (fibrinogen gamma gene (FGG), mucin 16 (MUC16), and apolipoprotein (APOA4)) was established to screen patients with ovarian cancer. This model exhibited an area under the receiver operating characteristic curve (AUC) of 0.936 (95% CI, 0.888–0.984) with 92.0% sensitivity and 82.9% specificity. Another panel comprising serum CA125, sEV-APOA4, and sEV-CD5L showed excellent performance (AUC 0.945 (95% CI, 0.890–1.000), sensitivity of 88.0%, specificity of 93.3%, and accuracy of 89.2%) to distinguish malignancy from benign ovarian masses. Altogether, our study provided a proteomic signature of circulating sEVs in ovarian cancer. The diagnostic proteomic panel may complement current clinical diagnostic measures for screening ovarian cancer in the general population and the differential diagnosis of ovarian masses.

Reduced Cancer Screening Due to Lockdowns of the COVID-19 Pandemic: Reviewing Impacts and Ways to Counteract the Impacts

The COVID-19 pandemic has created disruptions in health services in general and cancer screening and diagnostic services in particular, leading to diminished cancer screening participation rates. This paper aims to seek insights into impacts that the pandemic has had on cancer screening, impacts that reduced cancer screening may have in the long run, and how to address such impacts. The paper demonstrates that reduced cancer screening in the pandemic is likely to result in enhanced demands for cancer screening in the new normal, enhanced demands for resources to address such demands, and poor prognosis due to stage migration of cancer diseases. Some measures are recommended for counteracting these impacts.

Breast Cancer in Transgenders: Narrative Review

The molecular pathogenesis of breast cancer (BC), the second most common cancer, varies significantly between sexes, with minimal data in the transgender population. The overall prevalence of BC in transgenders is estimated to be 0.02%. Besides experiencing social disparities, transgenders have to face a lot of discrimination in the healthcare system. Adversities faced, along with the urge to identify with physical attributes to the gender felt by them, forces transgenders to use non-prescribed hormones. Gender affirming hormone therapy (GAHT) is a key feature of transition-related care, rehabbing mental health, and the quality of life of transgenders, but at the expense of their health. Studies have reported that GAHT is associated with severe health conditions such as cancer in transgenders. Estrogens and testosterone are associated with a moderate risk of developing BC. The types of BC diagnosed in transgenders after cross-sex hormone therapy include invasive ductal and neuroendocrine carcinoma, in addition to tubular adenocarcinoma. Although diagnosed at an age earlier compared with ciswomen, BC screening recommendations for transgenders are the same as for ciswomen. This review studies in detail the types of transgenders, their characteristics, different types of breast cancers associated, issues faced while treatment, and their best possible solutions. We also hope to have well-designed research in the future, which will fill the existing gaps in knowledge and provide scientific insight into the transgender population and issues related to their health. There are no international guidelines on screening and management of transgender patients but it appears that breast screening before cosmetic mastectomy, exposure to hormonal therapy for more than 5 years, and as per natal women screening guidelines should be offered to the patient with detailed discussion on the harms and benefits of the same.

Effects of enhanced recovery after surgery plus pulmonary rehabilitation on complications after video-assisted lung cancer surgery: a multicentre randomised controlled trial

BACKGROUND

Lung cancer surgery is associated with a high incidence of postoperative pulmonary complications (PPCs). We evaluated whether enhanced recovery after surgery plus pulmonary rehabilitation was superior over enhanced recovery after surgery alone in reducing the incidence of postoperative PPCs and length of hospital stay.

METHODS

In this pragmatic multicentre, randomised controlled, parallel-group clinical trial, eligible patients scheduled for video-assisted lung cancer surgery were randomly assigned (1:1) to either a newly developed programme that integrated preoperative and postoperative pulmonary rehabilitation components into a generic thoracic enhanced recovery after surgery pathway, or routine thoracic enhanced recovery after surgery. Primary outcome was the overall occurrence of PPCs within 2 weeks after surgery. Secondary outcomes were the occurrence of specific complications, time to removal of chest drain, and length of hospital stay (LOS).

RESULTS

Of 428 patients scheduled for lung cancer surgery, 374 were randomised with 187 allocated to the experimental programme and 187 to control. Incidence of PPCs at 14 Days was 18.7% (35/187) in the experimental group and 33.2% (62/187) in the control group (intention-to-treat, unadjusted HR 0.524, 95% CI 0.347 to 0.792, p=0.002). Particularly, significant risk reduction was observed regarding pleural effusion, pneumonia and atelectasis. Time to removal of chest drain and LOS were not significantly reduced in the experimental group.

CONCLUSIONS

Adding pulmonary rehabilitation to enhanced recovery after surgery appears to be effective in reducing the incidence of PPCs, but not LOS. Standard integration of pulmonary rehabilitation into thoracic enhanced recovery after surgery is a promising approach to PPC prophylaxis.

TRIAL REGISTRATION NUMBER

ChiCTR1900024646.

PROSTATE CANCER AND HIS INFLUENCE ON REPRODUCTIVE HEALTH

The aim of the study. Based on the data of the National Cancer Registry the research aims at conducting an analysis of morbidity and mortality of the male population of Ukraine for prostate cancer from 2014 to 2019. Materials and Methods. We have studied the indicators of the proportion of malignant neoplasms of the pelvic organs among the ten main nosological forms of malignant neoplasms in the morbidity of the male population of Ukraine, the proportion of malignant neoplasms of the pelvic organs among the ten major nosological forms of malignant neoplasms in the mortality of male malignancies in Ukraine, mortality from malignant neoplasms of the prostate in Ukraine and the percentage of morphologically and histologically confirmed cases of malignant neoplasms of the prostate in Ukraine in the period from 2014 to 2019. Results and Discussion. Among the ten main nosological forms of malignant neoplasms in the structure of the incidence of malignant neoplasms in the male population, the share of diseases of malignant neoplasms of the prostate in 2019 is 12.4%. The proportion of malignant neoplasms of the prostate in the mortality structure of the male population of Ukraine from 2014 to 2019 increased from 8.3% to 9.7%, respectively, while the proportion of malignant neoplasms of the rectum and bladder were in some years higher or equal to 2019. The absolute number of cases of malignant neoplasms of the prostate from 2014 to 2019 increased from 6851 cases to 8178 cases, i.e. by 1327 cases, which is 16.23%. Mortality of the male population of Ukraine from malignant neoplasms of the prostate from 2014 to 2019 fluctuated, with an increase in 2017 and a decrease in 2018, but the mortality rate increased from 3119 cases in 2014 to 3323 cases in 2019. The average percentage of morphologically confirmed cases of malignant neoplasms of the prostate was 90.6±0.81%, and the average percentage of histologically confirmed cases of malignant neoplasms of the prostate was 83.57±1.06. Correlation-regression analysis of the growth of the incidence of malignant neoplasms of the prostate in Ukraine for the next 5 years showed that the number of cases will increase significantly but will not exceed 10,000 cases. Correlation-regression analysis of the growth of mortality from malignant neoplasms of the prostate in Ukraine for the next 5 years showed that by 2024 mortality from this pathology will reach almost 3,500 cases per year. Conclusions. The obtained data indicate a clear trend towards an increase in morbidity and mortality from malignant neoplasms of the prostate. Among the main factors that may influence this are the low level of vaccination of male and female population of Ukraine from highly oncogenic strains of human papillomavirus, lack of motivation of the male population of Ukraine to a comprehensive screening of the prostate after 45 years and low awareness of the need for such screening, availability of three-component vaccines against human papillomavirus on the pharmaceutical market of Ukraine, while vaccination with seven-component vaccines against this virus is routine in the European Union. Further research on the coverage of the male population with vaccination and on the awareness of the male population of Ukraine about the risks of prostate cancer is necessary in terms of preventing reproductive dysfunction and the proper formation of reproductive health in general.

A Scoping Review of Food Insecurity and Related Factors among Cancer Survivors

Despite growing awareness of the financial burden that a cancer diagnosis places on a household, there is limited understanding of the risk for food insecurity among this population. The current study reviewed literature focusing on the relationship between food insecurity, cancer, and related factors among cancer survivors and their caregivers. In total, 49 articles (across 45 studies) were reviewed and spanned topic areas: patient navigation/social worker role, caregiver role, psychosocial impacts, and food insecurity/financial toxicity. Patient navigation yielded positive impacts including perceptions of better quality of care and improved health related quality of life. Caregivers served multiple roles: managing medications, emotional support, and medical advocacy. Subsequently, caregivers experience financial burden with loss of employment and work productivity. Negative psychosocial impacts experienced by cancer survivors included: cognitive impairment, financial constraints, and lack of coping skills. Financial strain experienced by cancer survivors was reported to influence ratings of physical/mental health and symptom burden. These results highlight that fields of food insecurity, obesity, and cancer control have typically grappled with these issues in isolation and have not robustly studied these factors in conjunction. There is an urgent need for well-designed studies with appropriate methods to establish key determinants of food insecurity among cancer survivors with multidisciplinary collaborators.

Racial/ethnic inequalities in cervical cancer screening in the United States: An outcome reclassification to better inform interventions and benchmarks

In the United states (U.S.), prevailing understanding suggests significant racial/ethnic inequalities in cervical cancer screening exist. However, recent findings elsewhere in North America indicate the magnitude of these inequalities depend on the way screening is defined: lifetime screening versus up-to-date screening. As those who have never been screened are most at risk for invasive cancer, an improved understanding of inequalities in this outcome is necessary to better inform interventions. To describe racial/ethnic inequalities in 1) never screening and 2) not being up-to-date with screening among women who have been screened at least once in their lifetime, three years (2014-2016) of the U.S. Behavioral Risk Factor Surveillance Survey were utilized to estimate cervical cancer screening prevalence ratios via Poisson regression (N = 123,070). The sample was limited to women age 21 to 65 years. Women from racial/ethnic minority groups were more likely to never have been screened in comparison to White women, particularly women of Asian descent (Prevalence Ratio (PR) = 3.8, 95% CI = 3.3-4.3). However, among women who had been screened at least once in their lifetime, an inverse association was observed between being a member of a racial/ethnic minority group and not being up-to-date with screening (e.g. PR_{asian vs white} = 0.7, 95% CI = 0.6-0.9). Physicians and public health institutions concerned with monitoring racial/ethnic inequalities should consider adding lifetime screening as a primary benchmark, as this outcome implies different intervention targets to address inequalities and the differential burden of cervical cancer.

Glycosylated Cathepsin V Serves as a Prognostic Marker in Lung Cancer

Dysregulation of cysteine cathepsin protease activity is pivotal in tumorigenic transformation. However, the role of cathepsin protease in lung cancer remains unknown. Here, we analyzed GEO database and found that lung cancer presented high expression of cathepsin V (CTSV). We then performed immunohistochemistry assay in 73 paired lung cancer tissues and normal lung tissues and confirmed that CTSV is overexpressed in lung cancer and correlates with poor prognosis. The mass spectrometry experiment showed that the N-glycosylation locus of CTSV are N221 and N292, glycosylated CTSV (band 43 kDa) was particularly expressed in lung cancer samples and correlated with lymph node metastasis. Mechanistic studies showed that only glycosylated CTSV (43-kDa band) are secreted to extracellular matrix (ECM) and promoted the metastasis of lung cancer. Importantly, the Elisa detection in serum of 12 lung cancer patients and 12 healthy donors showed that the level of CTSV in serum distinguished lung cancer patients from healthy donors. Together, our findings reveal the clinical relevance of CTSV glycosylation and CTSV drives the metastasis of lung cancer, suggesting that the glycosylated CTSV in serum is a promising biomarker for lung cancer.

European lung cancer screening: valuable trial evidence for optimal practice implementation

Lung cancer screening (LCS) by low-dose computed tomography is a strategy for secondary prevention of lung cancer. In the last two decades, LCS trials showed several options to practice secondary prevention in association with primary prevention, however, the translation from trial to practice is everything but simple. In 2020, the European Society of Radiology and European Respiratory Society published their joint statement paper on LCS. This commentary aims to provide the readership with detailed description about hurdles and potential solutions that could be encountered in the practice of LCS.

Start of an era: circulating cell-free DNA for early detection of cancers

Effective screening modalities are currently available for only a small subset of cancers, and they generally have suboptimal performance with complicated procedures. Therefore, there is an urgent need to develop simple, accurate, and non-invasive methods for early detection of cancers. Genetic and epigenetic alterations in plasma circulating cell-free DNA (cfDNA) have shown the potential to revolutionize methods of early detection of cancers and facilitate subsequent diagnosis to improve survival of patients. The medical interest in cfDNA assays has been inspired by emerging single- and multi-early detection of cancers studies. This review summarizes current technological and clinical advances, in the hopes of providing insights into the development and applications of cfDNA assays in various cancers and clinical scenarios. The key phases of clinical development of biomarkers are highlighted, and the future developments of cfDNA-based liquid biopsies in early detection of cancers are outlined. It is hoped that this study can boost the potential integration of cfDNA-based early detection of cancers into the current clinical workflow.

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Liquid biopsy, characterized by minimal invasiveness and user friendliness, can identify multiple cancers at the early stage and localize the tissue of origin

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The state-of-the-art technology facilitates the application of circulating cell-free DNA (cfDNA) assays in the early detection of cancers

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cfDNA assays are expected to be integrated into the clinical workflow after technological refinement and clinical trial validation

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The development and application strategies of cfDNA assays in various cancers and clinical scenarios can vary, and the harm-and-benefit should be balanced carefully

FBXO32 targets PHPT1 for ubiquitination to regulate the growth of EGFR mutant lung cancer

BACKGROUND

Phosphohistidine phosphatase 1 (PHPT1) is an oncogene that has been reported to participate in multiple tumorigenic processes. As yet, however, the role of PHPT1 in lung cancer development remains uncharacterized.

METHODS

RNA sequencing assay and 18 pairs of tumor and normal tissues from patients were analyzed to reveal the upregulation of PHPT1 in lung cancer, followed by confirming the biological function in vitro and in vivo. Next, Gene Set Enrichment Analysis, lung cancer samples, apoptosis assay, mass spectrometry experiments and western blotting were used to investigate the molecular mechanism underlying PHPT1 driven progression in epidermal growth factor receptor (EGFR)-mutant lung cancer. Finally, we performed cellular and animal experiments to explore the tumor suppressive function of F-box protein 32 (FBXO32).

RESULTS

We found that PHPT1 is overexpressed in lung cancer patients and correlates with a poor overall survival. In addition, we found that the expression of PHPT1 is elevated in EGFR-mutant lung cancer cells and primary patient samples. Inhibition of PHPT1 expression in EGFR mutant lung cancer cells significantly decreased their proliferation and clonogenicity, and suppressed their in vitro tumor growth. Mechanistic studies revealed that activation of the ERK/MAPK pathway is driven by PHPT1. PHPT1 is required for maintaining drug resistance to erlotinib in EGFR mutant lung cancer cells. We found that FBXO32 acts as an E3 ubiquitin ligase for PHPT1, and that knockdown of FBXO32 leads to PHPT1 accumulation, activation of the ERK/MAPK pathway and promotion of the proliferation, clonogenicity and growth of lung cancer cells.

CONCLUSIONS

Our findings indicate that PHPT1 may serve as a biomarker and therapeutic target for acquired erlotinib resistance in lung cancer patients carrying EGFR mutations.

Economic Burden Conferred by Population-Level Cancer Screening on Resource-Limited Communities: Lessons From the ESECC Trial

Objectives

Upper gastrointestinal (G.I.) cancer screening has been conducted in China for decades. However, the economic burden for treatment “intensively” occurred in advance due to screening in resource-limited communities remain unclear.

Methods

We compared the treatment costs for upper G.I. cancers from the screening and control arms of a population-based randomized trial in a high-risk area for esophageal cancer (EC) in China based on claims data from the health insurance system in the local area which included whole population coverage.

Results

The average out-of-pocket cost per treatment of EC in the screening arm was lower than that in the control arm ($5,972 vs. $7,557). This difference was a consequence of down-staging from screening which resulted in lower cost therapy for earlier stage cancers. Moreover, this result is similar for cardial and non-cardial gastric cancer in the two study arms ($7,933 vs. $10,605). However, three times as many (103 vs. 36) families in the screening arm suffered catastrophic health expenditure for all cancer types. The overall treatment cost for all EC patients in the screening arm ($1,045,119) was 2.44 times that in the control arm ($428,292), and the ratio for cardial and non-cardial gastric cancer was 1.12 ($393,261 vs. $351,557).

Conclusion

Cancer treatment secondary to screening may triple the likelihood of catastrophic patient medical expenditure, and sharply increase the economic pressure on the local community, particularly for cancer types which are of high prevalence. Financial support for patients and the health insurance system should be taken into consideration when planning budgets for cancer screening programs in communities which are resource-limited.

A Classifier for Improving Early Lung Cancer Diagnosis Incorporating Artificial Intelligence and Liquid Biopsy

Lung cancer is the leading cause of cancer-related deaths worldwide and in China. Screening for lung cancer by low dose computed tomography (LDCT) can reduce mortality but has resulted in a dramatic rise in the incidence of indeterminate pulmonary nodules, which presents a major diagnostic challenge for clinicians regarding their underlying pathology and can lead to overdiagnosis. To address the significant gap in evaluating pulmonary nodules, we conducted a prospective study to develop a prediction model for individuals at intermediate to high risk of developing lung cancer. Univariate and multivariate logistic analyses were applied to the training cohort (n = 560) to develop an early lung cancer prediction model. The results indicated that a model integrating clinical characteristics (age and smoking history), radiological characteristics of pulmonary nodules (nodule diameter, nodule count, upper lobe location, malignant sign at the nodule edge, subsolid status), artificial intelligence analysis of LDCT data, and liquid biopsy achieved the best diagnostic performance in the training cohort (sensitivity 89.53%, specificity 81.31%, area under the curve [AUC] = 0.880). In the independent validation cohort (n = 168), this model had an AUC of 0.895, which was greater than that of the Mayo Clinic Model (AUC = 0.772) and Veterans' Affairs Model (AUC = 0.740). These results were significantly better for predicting the presence of cancer than radiological features and artificial intelligence risk scores alone. Applying this classifier prospectively may lead to improved early lung cancer diagnosis and early treatment for patients with malignant nodules while sparing patients with benign entities from unnecessary and potentially harmful surgery.

Clinical Trial Registration Number

ChiCTR1900026233, URL: http://www.chictr.org.cn/showproj.aspx?proj=43370.

Results of Lung Cancer Screening in a Rural Setting: A Retrospective Cohort Study

Background

In this study, we aimed to determine the performance of the lung cancer screening (LCS) program using low-dose computed tomography (LDCT) in a rural community.

Methodology

We conducted a retrospective cohort study of patients who underwent LCS at a rural healthcare institution from September 1, 2016, through December 31, 2019, to determine the utilization of screening, rate of positivity, rate of cancer detection, and patient compliance.

Results

A total of 1,474 patients underwent initial LCS, and 1,776 LCS examinations were performed using LDCT. Of 1,776 tests performed, 375 (21.1%) were categorized as positive (Lung CT Screening Reporting and Data System III or higher), with 215 of the 375 (57.6%) being lost to follow-up. A total of 29 malignancies were identified (in 1.6% of all LCS tests) during the study period, with 23 (82.8%) malignancies being low-stage malignancies (stage I or II), 24 (79.3%) malignancies potentially surgical candidates (stage IIIA or less), and five (17.2%) malignancies being non-surgical candidates based on stage (stage IIIB or IV). A total of 28.7% of all patients eligible for repeat screening had at least one repeat annual test. Overall, 9.9% of all patients eligible for two repeat annual tests had a second repeat annual test.

Conclusions

LCS using LDCT is effective in detecting lung cancer in a rural setting. However, compliance with repeat annual screening and recommendations for further workup is low. This may be exacerbated by healthcare and socioeconomic issues prevalent in rural communities. The use of LCS patient coordinators and dedicated tracking software may improve compliance with repeat annual screening and compliance with recommendations when LCS tests are positive.

Cancer Screening Rate and Related Factors in the Japanese Child-Rearing Generation

In Japan, although the incidence of cancer is increasing, the cancer screening rate is low compared to that in other countries. This study aimed to evaluate the factors associated with cancer screening behavior in Japanese men and women of child-rearing age. The survey was conducted among 2410 child-rearing adults from a countrywide database in August 2018. Among the respondents, there were 1381 (57.3%) who had been screened for cancer and 1029 (42.7%) who had not been screened. When stratified by sex, 503 (40.9%) men and 878 (74.3%) women had been screened for cancer, and education, income, and family history were associated with cancer screening. Among the men, where they lived, age, and family history were associated with cancer screening. In women, annual income was associated with stomach, colon, breast, and uterine cancer screening. In addition, uterine cancer screening was related to the women’s educational level. Our results suggest a need to improve the cancer screening rate among the child-rearing generation, especially for those with limited education and low income.

Design and Synthesis of Tri-substituted Imidazole Derivatives as CD73 Inhibitors for Their Anticancer Activity

Background:

Monoclonal antibodies licensed by the US Food and Drug Administration (FDA) target diverse biological targets relevant to immuno-oncology, and small compounds in clinical trials target various aspects of immuno-oncology. Several small compounds that target CD73 are at various stages of clinical studies. Several imidazoles are currently being utilized to treat malignancies, including Dacarbazine, Zoledronic acid, Mercaptopurine, and others. As a result, we evaluated the cytotoxicity of modified tri-phenyl imidazoles against breast cancer cell lines, as well as conducted virtual tests.

Methods:

We used Accelrys Drug Discovery Studio 3.5 software to undertake molecular docking, ADMET, and molecular properties studies on 68 proposed imidazole derivatives. The synthesized compounds' binding mechanisms were investigated against the CD73 protein (PDB Code: 4H1S). To find the drugs with the best pharmacokinetics, researchers assessed ADMET solubility, BBB penetration, hepatotoxicity, PPB binding, and polar surface area. The MDA-MB-231 breast cancer cell line was treated with these produced compounds, and the MTT test method was used to determine the IC50 values.

Results:

The selected 14 compounds showed good binding in the active site of CD73 by forming Hbonds with amino acid residues, according to molecular docking studies. Breast cancer cell lines were treated with substituted tri-phenyl imidazole derivatives, which displayed anticancer activity. Compounds 3a and 3h, which had an electron-donating group at the 2nd and 3rd positions and p-substitutions of the chloro and nitro groups, respectively, showed considerable anticancer action.

Conclusion:

Fourteen imidazole derivatives were produced and tested against breast cancer cell lines based on in-silico research. The MDA-MB-231 cell line was strongly suppressed by compounds 3a and 3h. In-vitro enzyme inhibition experiments revealed that only 3h demonstrated considerable inhibition.

Application of logistic regression and convolutional neural network in prediction and diagnosis of high-risk populations of lung cancer

OBJECTIVES

The early detection, early diagnosis, and early treatment of lung cancer are the best strategies to improve the 5-year survival rate. Logistic regression analysis can be a helpful tool in the early detection of high-risk groups of lung cancer. Convolutional neural network (CNN) could distinguish benign from malignant pulmonary nodules, which is critical for early precise diagnosis and treatment. Here, we developed a risk assessment model of lung cancer and a high-precision classification diagnostic model using these technologies so as to provide a basis for early screening of lung cancer and for intelligent differential diagnosis.

METHODS

A total of 355 lung cancer patients, 444 patients with benign lung disease and 472 healthy people from The First Affiliated Hospital of Zhengzhou University were included in this study. Moreover, the dataset of 607 lung computed tomography images was collected from the above patients. The logistic regression method was employed to screen the high-risk groups of lung cancer, and the CNN model was designed to classify pulmonary nodules into benign or malignant nodules.

RESULTS

The area under the curve of the lung cancer risk assessment model in the training set and the testing set were 0.823 and 0.710, respectively. After finely optimizing the settings of the CNN, the area under the curve could reach 0.984.

CONCLUSIONS

This performance demonstrated that the lung cancer risk assessment model could be used to screen for high-risk individuals with lung cancer and the CNN framework was suitable for the differential diagnosis of pulmonary nodules.

A comprehensive bioinformatics analysis to identify a candidate prognostic biomarker for ovarian cancer

BACKGROUND

This study aimed to investigate prognostic genes in ovarian cancer (OC) and to explore their potential underlying biological mechanisms through a comprehensive bioinformatics analysis.

METHODS

Common differentially expressed genes (DEGs) in 3 OC datasets from the Gene Expression Omnibus (GEO) (GSE26712, GSE18520, and GSE14407) were screened out. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed by Metascape. The protein-protein interaction (PPI) network of the DEGs was constructed using the STRING database. The prognostic value of DEGs were determined using the Kaplan-Meier plotter. The ONCOMINE and Human Protein Atlas databases were used to verify the expression levels of prognostic genes in OC. Genomic analysis of prognostic genes were also investigated by cBio Cancer Genomics Portal (cBioPortal) database, UCSC Xena browser and UALCAN. Gene set enrichment analysis (GSEA) was used to predict the possible pathways and biological processes of the prognostic genes.

RESULTS

Integration of the 3 datasets have found 879 common DEGs. A high expression of structural maintenance of chromosomes protein 4 (SMC4) was revealed in the Kaplan-Meier plotter analysis to be meaningful for the prognosis of OC and was verified at both the mRNA and protein levels. The results from cBioPortal showed that SMC4 alterations accounted for 7 to 18% of genetic alterations in OC, and the majority alterations were copy number amplifications. Finally, the GSEA results showed that samples with SMC4 overexpression were mainly enriched in the cell cycle, spliceosome, ubiquitin mediated proteolysis, and adherens junctions.

CONCLUSIONS

High SMC4 expression is linked with a poor prognosis in patients with OC and might serve as a prognostic biomarker for the disease.

Peptide-Based Nanovaccines in the Treatment of Cervical Cancer: A Review of Recent Advances

Persistent infection with high-risk human papillomaviruses (HPVs), such as HPV-16 and HPV-18, can induce cervical cancer in humans. The disease carries high morbidity and mortality among females worldwide. Inoculation with prophylactic HPV vaccines, such as Gardasil^® or Cervarix^®, is the predominant method of preventing cervical cancer in females 6 to 26 years of age. However, despite the availability of commercial prophylactic HPV vaccines, no therapeutic HPV vaccines to eliminate existing HPV infections have been approved. Peptide-based vaccines, which form one of the most potent vaccine platforms, have been broadly investigated to overcome this shortcoming. Peptide-based vaccines are especially effective in inducing cellular immune responses and eradicating tumor cells when combined with nanoscale adjuvant particles and delivery systems. This review summarizes progress in the development of peptide-based nanovaccines against HPV infection.

Predicting Life Expectancy to Target Cancer Screening Using Electronic Health Record Clinical Data

BACKGROUND

Guidelines recommend breast and colorectal cancer screening for older adults with a life expectancy >10 years. Most mortality indexes require clinician data entry, presenting a barrier for routine use in care. Electronic health records (EHR) are a rich clinical data source that could be used to create individualized life expectancy predictions to identify patients for cancer screening without data entry.

OBJECTIVE

To develop and internally validate a life expectancy calculator from structured EHR data.

DESIGN

Retrospective cohort study using national Veteran's Affairs (VA) EHR databases.

PATIENTS

Veterans aged 50+ with a primary care visit during 2005.

MAIN MEASURES

We assessed demographics, diseases, medications, laboratory results, healthcare utilization, and vital signs 1 year prior to the index visit. Mortality follow-up was complete through 2017. Using the development cohort (80% sample), we used LASSO Cox regression to select ~100 predictors from 913 EHR data elements. In the validation cohort (remaining 20% sample), we calculated the integrated area under the curve (iAUC) and evaluated calibration.

KEY RESULTS

In 3,705,122 patients, the mean age was 68 years and the majority were male (97%) and white (85%); nearly half (49%) died. The life expectancy calculator included 93 predictors; age and gender most strongly contributed to discrimination; diseases also contributed significantly while vital signs were negligible. The iAUC was 0.816 (95% confidence interval, 0.815, 0.817) with good calibration.

CONCLUSIONS

We developed a life expectancy calculator using VA EHR data with excellent discrimination and calibration. Automated life expectancy prediction using EHR data may improve guideline-concordant breast and colorectal cancer screening by identifying patients with a life expectancy >10 years.

Prognostic Autophagy-Related Model Revealed by Integrating Single-Cell RNA Sequencing Data and Bulk Gene Profiles in Gastric Cancer

Autophagy has been associated with tumor progression, prognosis, and treatment response. However, an autophagy-related model and their clinical significance have not yet been fully elucidated. In the present study, through the integrative analysis of bulk RNA sequencing and single-cell RNA sequencing, an autophagy-related risk model was identified. The model was capable of distinguishing the worse prognosis of patients with gastric cancer (GC), which was validated in TCGA and two independent Gene Expression Omnibus cohorts utilizing the survival analysis, and was also independent of other clinical covariates evaluated by multivariable Cox regression. The clinical value of this model was further assessed using a receiver operating characteristic (ROC) and nomogram analysis. Investigation of single-cell RNA sequencing uncovered that this model might act as an indicator of the dysfunctional characteristics of T cells in the high-risk group. Moreover, the high-risk group exhibited the lower expression of immune checkpoint markers (PDCD1 and CTLA4) than the low-risk group, which indicated the potential predictive power to the current immunotherapy response in patients with GC. In conclusion, this autophagy-associated risk model may be a useful tool for prognostic evaluation and will facilitate the potential application of this model as an indicator of the predictive immune checkpoint biomarkers.

Multi-Omics Analysis of the Therapeutic Value of MAL2 Based on Data Mining in Human Cancers

Recent studies have reported that T-cell differentiation protein 2 (MAL2) is an important regulator in cancers. Here, we downloaded data from multiple databases to analyze MAL2 expression and function in pan-cancers, especially in ovarian cancer (OC). Gene Expression Profiling Interactive Analysis (GEPIA) databases was used to examine MAL2 expression in 13 types of cancer. Kaplan–Meier plotter database was used to analyze the overall survival rate of MAL2 in pan-cancers. The Catalog of Somatic Mutations in Cancer (COSMIC), cBioPortal, and UCSC databases were used to examine MAL2 mutation in human cancers. Metascape, STRING, and GeneMANIA websites were used to explore MAL2 function in OC. Furthermore, ggplot2 package and ROC package were performed to analyze hub gene expression and undertake receiver operating characteristic (ROC) analysis. Drug sensitivity of MAL2 in OC was examined by the GSCALite database. In order to verify the results from databases above, real-time quantitative polymerase chain reaction (qRT-PCR) and western blotting were conducted to detect the expression of MAL2 in OC cells. CRISPR/Cas9 system was used to knockout the MAL2 gene in the OC cell lines HO8910 and OVCAR3, using specific guide RNA targeting the exons of MAL2. Then, we performed proliferation, colony formation, migration, and invasion assays to investigate the impact of MAL2 in OC cell lines in vivo and in vitro. Epithelial-mesenchymal transition (EMT)-associated biomarkers were significantly altered in vitro via western blotting and qRT-PCR. Taken together, we observed that MAL2 was remarkably dysregulated in multiple cancers and was related to patient overall survival (OS), mutation, and drug sensitivity. Furthermore, experimental results showed that MAL2 deletion negatively regulated the proliferation, migration, invasion, and EMT of OC, indicating that MAL2 is a novel oncogene that can activate EMT, significantly promote both the proliferation and migration of OC in vitro and in vivo, and provide new clues for treatment strategies.