Health Literacy and eHealth: Challenges and Strategies

Given the impact of health literacy (HL) on patients' outcomes, limited health literacy is a major barrier to improve cancer care globally. HL refers to the degree in which an individual is able to acquire, process, and comprehend information in a way to be actively involved in their health decisions. Previous research found that almost half of the population in developed countries have difficulties in understanding health-related information. With the gradual shift toward the shared decision making process and digital transformation in oncology, the need for addressing low HL issues is crucial. Decision making in oncology is often accompanied by considerable consequences on patients' lives, which requires patients to understand complex information and be able to compare treatment methods by considering their own values. How health information is perceived by patients is influenced by various factors including patients' characteristics and the way information is presented to patients. Currently, identifying patients with low HL and simple data visualizations are the best practice to help patients and clinicians in dealing with limited health literacy. Furthermore, using eHealth, as well as involving HL mediators, supports patients to make sense of complex information.

Regulation of epigenetic modifications in the head and neck tumour microenvironment

Head and neck tumours are common malignancies that are associated with high mortality. The low rate of early diagnosis and the high rates of local recurrence and distant metastasis are the main reasons for treatment failure. Recent studies have established that the tumour microenvironment (TME) can affect the proliferation and metastasis of head and neck tumours via several mechanisms, including altered expressions of certain genes and cytokines. Increasing evidence has shown that epigenetic modifications, such as DNA methylation, histone modification, RNA modification, and non-coding RNAs, can regulate the head and neck TME and thereby influence tumour development. Epigenetic modifications can regulate the expression of different genes and subsequently alter the TME to affect the progression of head and neck tumours. In addition, the cell components in the TME are regulated by epigenetic modifications, which, in turn, affect the behaviour of head and neck tumour cells. In this review, we have discussed the functions of epigenetic modifications in the head and neck TME. We have further examined the roles of such modifications in the malignancy and metastasis of head and neck tumours.

CircRNAs in Tumor Radioresistance

Circular RNAs (circRNAs) are endogenous, non-coding RNAs, which are derived from host genes that are present in several species and can be involved in the progression of various diseases. circRNAs’ leading role is to act as RNA sponges. In recent years, the other roles of circRNAs have been discovered, such as regulating transcription and translation, regulating host genes, and even being translated into proteins. As some tumor cells are no longer radiosensitive, tumor radioresistance has since become a challenge in treating tumors. In recent years, circRNAs are differentially expressed in tumor cells and can be used as biological markers of tumors. In addition, circRNAs can regulate the radiosensitivity of tumors. Here, we list the mechanisms of circRNAs in glioma, nasopharyngeal carcinoma, and non-small cell lung cancer; further, these studies also provide new ideas for the purposes of eliminating radioresistance in tumors.

An Analysis of Transcriptomic Burden Identifies Biological Progression Roadmaps for Hematological Malignancies and Solid Tumors

Biological paths of tumor progression are difficult to predict without time-series data. Using median shift and abacus transformation in the analysis of RNA sequencing data sets, natural patient stratifications were found based on their transcriptomic burden (TcB). Using gene-behavior analysis, TcB groups were evaluated further to discover biological courses of tumor progression. We found that solid tumors and hematological malignancies (n = 4179) share conserved biological patterns, and biological network complexity decreases at increasing TcB levels. An analysis of gene expression datasets including pediatric leukemia patients revealed TcB patterns with biological directionality and survival implications. A prospective interventional study with PI3K targeted therapy in canine lymphomas proved that directional biological responses are dynamic. To conclude, TcB-enriched biological mechanisms detected the existence of biological trajectories within tumors. Using this prognostic informative novel informatics method, which can be applied to tumor transcriptomes and progressive diseases inspires the design of progression-specific therapeutic approaches.

Mitochondrial Control Region Variants Related to Breast Cancer

Breast cancer has an important incidence in the worldwide female population. Although alterations in the mitochondrial genome probably play an important role in carcinogenesis, the actual evidence is ambiguous and inconclusive. Our purpose was to explore differences in mitochondrial sequences of cases with breast cancer compared with control samples from different origins. We identified 124 mtDNA sequences associated with breast cancer cases, of which 86 were complete and 38 were partial sequences. Of these 86 complete sequences, 52 belonged to patients with a confirmed diagnosis of breast cancer, and 34 sequences were obtained from healthy mammary tissue of the same patients used as controls. From the mtDNA analysis, two polymorphisms with significant statistical differences were found: m.310del (rs869289246) in 34.6% (27/78) of breast cancer cases and 61.7% (21/34) in the controls; and m.315dup (rs369786048) in 60.2% (47/78) of breast cancer cases and 38.2% (13/34) in the controls. In addition, the variant m.16519T>C (rs3937033) was found in 59% of the control sequences and 52% of the breast cancer sequences with a significant statistical difference. Polymorphic changes are evolutionarily related to the haplogroup H of Indo-European and Euro-Asiatic origins; however, they were found in all non-European breast cancers.

A study on the correlation between M2 macrophages and regulatory T cells in the progression of colorectal cancer

Background

M2 macrophages and regulatory T cells (Tregs) can promote tumors and development by inhibiting the anti-tumor immune response. This study investigated the effect of CD163-positive M2 macrophages and Foxp3-positive Tregs in the progression of colorectal cancer and lymph node metastasis. It also investigated the correlation between M2 macrophages and Tregs.

Methods

Postoperative tissue specimens and clinical data were collected from 197 patients with colorectal cancer who underwent initial surgical treatment in The Second Ward of Colorectal Surgery of the First Affiliated Hospital of Jinzhou Medical University from March 2020 to December 2020. Immunohistochemical methods were used to detect the expression levels of CD163 protein-labeled M2 macrophages and Foxp3 protein-labeled Tregs in colorectal cancer tissues, matched paracancer tissues, and lymph node tissues. The correlation between CD163 and Foxp3 in cancer tissues and lymph node tissues were analyzed, as well as the relationship between clinicopathological characteristics and preoperative tumor markers.

Results

M2 macrophages and Tregs were importantly positively correlated in cancer and lymph node tissues, which significantly increased in cancer and metastatic lymph node tissues. Interestingly, M2 macrophages in non-metastatic lymph nodes also increased significantly in patients with metastatic lymph nodes. In addition, both CD163 and Foxp3 were upregulated with increasing tumor node metastasis stage, depth of infiltration, and lymphatic metastasis; and both were positively correlated with carcinoembryonic antigen.

Conclusion

CD163 may be a good predictor of pre-metastatic status of colorectal cancer lymph nodes. carcinoembryonic antigen affects the distribution of M2 macrophages and Tregs in colorectal cancer. There is a certain correlation between the two types of cells. It is possible that M2 macrophages, together with suppressor Tregs cells, promote an immunosuppressive environment.

Trends in metabolic signaling pathways of tumor drug resistance: A scientometric analysis

Background

Cancer chemotherapy resistance is one of the most critical obstacles in cancer therapy. Since Warburg O first observed alterations in cancer metabolism in the 1950s, people gradually found tumor metabolism pathways play a fundamental role in regulating the response to chemotherapeutic drugs, and the attempts of targeting tumor energetics have shown promising preclinical outcomes in recent years. This study aimed to summarize the knowledge structure and identify emerging trends and potential hotspots in metabolic signaling pathways of tumor drug resistance research.

Methods

Publications related to metabolic signaling pathways of tumor drug resistance published from 1992 to 2022 were retrieved from the Web of Science Core Collection database. The document type was set to articles or reviews with language restriction to English. Two different scientometric software including Citespace and VOS viewer were used to conduct this scientometric analysis.

Results

A total of 2,537 publications including 1,704 articles and 833 reviews were retrieved in the final analysis. The USA made the most contributions to this field. The leading institution was the University of Texas MD Anderson Cancer Center. Avan A was the most productive author, and Hanahan D was the key researcher with the most co-citations, but there is no leader in this field yet. Cancers was the most influential academic journal, and Oncology was the most popular research field. Based on keywords occurrence analysis, these selected keywords could be roughly divided into five main topics: cluster 1 (study of cancer cell apoptosis pathway); cluster 2 (study of resistance mechanisms of different cancer types); cluster 3 (study of cancer stem cells); cluster 4 (study of tumor oxidative stress and inflammation signaling pathways); and cluster 5 (study of autophagy). The keywords burst detection identified several keywords as new research hotspots, including “tumor microenvironment,” “invasion,” and “target”.

Conclusion

Tumor metabolic reprogramming of drug resistance research is advancing rapidly. This study serves as a starting point, providing a thorough overview, the development landscape, and future opportunities in this field.

A novel m7G methylation–related signature associated with chromosome homeostasis in patients with lung adenocarcinoma

Lung adenocarcinoma (LUAD) is a malignant tumor of the respiratory system with poor prognosis. Recent studies have revealed that N7-methylguanosine (m7G) methylation is a widespread modification occurring in RNA. But the expression of m7G methylation–related genes in LUAD and their correlations with prognosis are still unclear. In this study, we found 12 m7G methylation–related regulators with differential expression between LUAD and normal lung tissues. According to differentially expressed genes (DEGs), all LUAD cases were separated into two subtypes. The prognostic value of each m7G methylation–related gene for survival was evaluated to construct a multigene signature using The Cancer Genome Atlas (TCGA) cohort. Finally, an m7G methylation–related prognostic signature based on three genes was built to classify LUAD patients into two risk groups. Patients in the high-risk group showed significantly reduced overall survival (OS) when compared with patients in the low-risk group (p < 0.05). The receiver operating characteristic (ROC) curve analysis confirmed the predictive capacity of the signature. The Gene Ontology (GO) functional annotation analysis disclosed that chromosome homeostasis plays an important role in this process. The gene set enrichment analysis (ssGSEA) implied that the immune status was decreased in the high-risk group. To sum up, m7G methylation–related genes play a vital role in tumor immunity and the related signature is a reliable predictor for LUAD prognosis.

Clinical Outcomes of Biodegradable versus Durable Polymer Drug Eluting Stents in Rotational Atherectomy: Results from ROCK Registry

Background: The aim of this study was to compare the clinical outcomes of biodegradable polymer (BP) versus durable polymer (DP) drug eluting stents (DES) in patients with calcified coronary lesions who underwent rotational atherectomy (RA) and percutaneous coronary intervention (PCI). Methods: This study was based on a multicenter registry which enrolled patients with calcified coronary artery disease who received PCI using RA during between January 2010 and October 2019 from 9 tertiary centers in Korea. The primary outcome was 3-year all-cause mortality, and the secondary outcomes were cardiovascular death and target-lesion failure. Results: A total of 540 patients who underwent PCI using RA were enrolled with a follow-up period of median 16.1 months. From this registry, 272 patients with PCI using DP-DES and 238 patients with BP-SGDES were selected for analysis. PCI with BP-DES was associated with decreased all-cause mortality after propensity score matching (HR 0.414, CI 0.174–0.988) and multivariate Cox regression analysis (HR 0.458, HR 0.224–0.940). BP-DES was also associated with decreased cardiovascular mortality, but there was no difference in TLF between the two groups. Conclusions: BP-DES were associated with favorable outcomes compared to DP-DES in patients undergoing PCI using RA for calcified coronary lesions.

COVID-19 and Gut Injury

COVID-19 induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is currently a pandemic and it has led to more than 620 million patients with 6.56 million deaths globally. Males are more susceptible to COVID-19 infection and associated with a higher chance to develop severe COVID-19 than females. Aged people are at a high risk of COVID-19 infection, while young children have also increased cases. COVID-19 patients typically develop respiratory system pathologies, however symptoms in the gastrointestinal (GI) tract are also very common. Inflammatory cell recruitments and their secreted cytokines are found in the GI tract in COVID-19 patients. Microbiota changes are the key feature in COVID-19 patients with gut injury. Here, we review all current known mechanisms of COVID-19-induced gut injury, and the most acceptable one is that SARS-CoV-2 binds to angiotensin-converting enzyme 2 (ACE2) receptor on host cells in the GI tract. Interestingly, inflammatory bowel disease (IBD) is an inflammatory disorder, but the patients with IBD do not have the increased risk to develop COVID-19. There is currently no cure for COVID-19, but anti-viruses and monoclonal antibodies reduce viral load and shorten the recovery time of the disease. We summarize current therapeutics that target symptoms in the GI tract, including probiotics, ACE2 inhibitors and nutrients. These are promising therapeutic options for COVID-19-induced gut injury.

Comprehensive analysis of the cuproptosis-related model to predict prognosis and indicate tumor immune infiltration in lung adenocarcinoma

Background

Cuproptosis is a novel form of programmed cell death termed as Cu-dependent cytotoxicity. However, the roles of cuproptosis-associated genes (CAGs) in lung adenocarcinoma (LUAD) have not been explored comprehensively.

Methods

We obtained CAGs and utilized consensus molecular clustering by “non-negative matrix factorization (NMF)” to stratify LUAD patients in TCGA (N = 511), GSE13213 (N = 117), and GSE31210 (N = 226) cohorts. The ssGSEA and CIBERSORT algorithms were used to evaluate the relative infiltration levels of immune cell types in tumor microenvironment (TME). The risk score based on CAGs was calculated to predict patients’ survival outcomes.

Results

We identified three cuproptosis-associated clusters with different clinicopathological characteristics. We found that the cuproptosis-associated cluster with the worst survival rates exhibited a high enrichment of activated CD4/8+ T cells. In addition, we found that the cuproptosis-associated risk score could be used for patients’ prognosis prediction and provide new insights in immunotherapy of LUAD patients. Eventually, we constructed a nomogram-integrated cuproptosis-associated risk score with clinicopathological factors to predict overall survival in LUAD patients, with 1-, 3-, and 5-year area under curves (AUCs) being 0.771, 0.754, and 0.722, respectively, all of which were higher than those of the TNM stage.

Conclusions

In this study, we uncovered the biological function of CAGs in the TME and its correlations with clinicopathological parameters and patients’ prognosis in LUAD. These findings could provide new angles for immunotherapy of LUAD patients.

Radiation Treatment Timing and Dose Delivery: Effects on Bladder Cancer Cells in 3D in Vitro Culture

While radical cystectomy remains the primary treatment of choice for bladder cancer, increased evidence supports the use of bladder-preservation strategies based on adjuvant radiotherapy. This highlights the need for a better understanding of bladder cancer radiosensitivity to different types of treatment deliveries. The purpose of this study is to analyze the effect of treatment time, dose and fractionation on the number and sizes of grown three-dimensional (3D) bladder cancer spheres, and to assess the capacity of the linear-quadratic model in describing the response of cells cultured in 3D. 3D MatrigelTM-based cultures were employed to enrich for cancer stem cells (CSCs) from three human bladder cancer cell lines, RT4, T24 and UM-UC-3. Three single dose radiation treatments were performed at different time points after plating, and sphere number and sizes were assessed. Anti-CD44 immunofluorescence, clonogenic assay and anti-γH2AX staining were also performed to analyze the cell lines’ radiosensitivity. The radiosensitivity of spheres was dependent on the treatment timing after plating. Current linear quadratic dose fractionation models were shown to over-estimate radiosensitivity in 3D models. Our results showed the importance of treatment timing on the radio-response of bladder cancer spheres. We also demonstrated that bladder cancer spheres are more resistant to dose-fractionation than the estimation from the theoretical linear-quadratic model.

Osimertinib versus platinum-pemetrexed in patients with previously treated EGFR T790M advanced non-small cell lung cancer: An updated AURA3 trial-based cost-effectiveness analysis

Background

A recently overall survival (OS) analysis from the AURA3 trial indicated that osimertinib improves median OS versus platinum-pemetrexed for patients with previously treated epidermal growth factor receptor (EGFR) T790M advanced non-small cell lung cancer (NSCLC). Here, we assessed the cost-effectiveness of second-line osimertinib versus platinum-pemetrexed, from the perspectives of the United States payer and the Chinese health care system.

Methods

A Markov model was constructed to compare the costs and health outcomes of osimertinib versus platinum-pemetrexed in second-line treatment of EGFR T790M advanced NSCLC. Life years (LYs), quality adjusted life years (QALYs), costs, and incremental cost-effectiveness ratios (ICERs) were calculated. One-way and probabilistic sensitivity analyses assessed the robustness of the model. Cost-effectiveness was examined in the intention-to-treat (ITT) population and central nervous system (CNS) metastases population.

Results

In the United States, compared with platinum-pemetrexed, osimertinib yielded additional effectiveness of 0.43 QALYs and -0.12 QALYs, with incremental costs of $67,588 and $16,465 in the ITT population and CNS metastases population, respectively. The ICERs of osimertinib over platinum-pemetrexed were $159,126/QALY and $-130,830/QALY, respectively. The probability of osimertinib being cost-effective was 37% and 5.76%, respectively, at the willingness-to-pay (WTP) threshold of $150,000/QALY. In China, osimertinib showed incremental effectiveness of 0.34 QALYs and -0.14 QALYs, with incremental costs of $1,663 and $-505, resulting in ICERs of $4,950/QALY and $3,754/QALY in the ITT population and CNS metastases population, respectively. At the WTP threshold of $37,489/QALY, there was a 100% and 26% likelihood that osimertinib was cost-effective in the ITT population and CNS metastases population.

Conclusion

In the United States, second-line osimertinib treatment for EGFR T790M advanced NSCLC is not cost-effective compared to platinum-pemetrexed under the current WTP threshold. When the osimertinib price reduces, the economic outcome may become favorable. In China, assuming a WTP threshold of $37,489/QALY, osimertinib is the dominant treatment strategy compared with platinum-pemetrexed in the ITT population and provides cost savings for CNS metastases patients.

Variants of creating heterotopic and orthotopic PDX models of human colorectal cancer

Aim. To create heterotopic and orthotopic patient-derived xenograft (PDX) models of colorectal cancer (CRC) by transplantation of patient’s tumor samples into immunodeficient BALB / c Nude mice.

Materials and methods. The study was performed on 15 female BALB / c Nude mice aged 6–8 weeks weighing 21–25 g. All animals underwent transplantation of the tumor material obtained from CRC patients into the following sites: heterotopic transplantation (under the skin of the thigh and into the omentum), orthotopic transplantation (into the descending and ascending colon and into the cecum). Weight and general condition of the animals and the size of the tumor nodule had been monitored for 80 days. The success of each model was assessed by the degree of engraftment, the dynamics of tumor growth, and the reproducibility of histopathologic characteristics. At the end of the experiment, the animals were euthanized by cervical dislocation.

Results. 100% survival of the animals and similar tumor growth dynamics in the xenograft models were observed throughout the experiment. The analysis of histologic specimens obtained from the xenografts and patient’s tumor showed their correspondence to moderately differentiated intestinal adenocarcinoma. The main advantages and disadvantages of different variants of PDX models were described.

Conclusion. Heterotopic and orthotopic PDX models reproduce the morpho-histologic characteristics of human tumors and demonstrate stable growth dynamics. Therefore, they are a suitable tool for the development, testing, and validation of potential anticancer drugs.

Evaluating the Diagnostic Potentials of Circulating Tumor DNA against Melanoma: A Systematic Review and Meta-Analysis

Background. The accurate detection of circulating tumor (ct) DNA is affected by multiple factors, and several controversies still persists regarding clinical applications. In order to assess the consistency of ctDNA gene mutation detection findings in matched melanoma tissue samples and peripheral blood, a meta-analysis was performed and provided evidence-based analysis for its clinical applications. Method. As of May 20, 2019, the database has been searched using the Embase, PubMed, and Cochrane Library search engines. The ctDNA investigations mentioned in this review may be used to directly or indirectly get the true positive (TP), true negative (TN), false positive (FP), and false negative (FN) values of melanoma patients. To be excluded from the study are duplicate publications, research that do not offer a full text, inadequate material or an inability to extract data, and animal trials. Results. Overall, the pooled specificity, sensitivity, NLR, PLR, and DOR were 0.94 (95% CI: 0.91-0.96), 0.73 (95% CI: 0.70-0.75), 0.32 (95% CI: 0.22-0.45), 8.21 (95% CI: 4.67-14.43), and 32.72 (95% CI: 14.81-72.30), respectively. Additionally, we calculated AUC by drawing the SROC curve, and the value of AUC is 0.9287, which indicates that the accuracy of ctDNA in diagnosing melanoma is 92.87% of the gold standard. Furthermore, we conducted a subgroup analysis for different countries, sample sources, and ctDNA detection methods. The pooled results showed that different countries, sample sources, and ctDNA detection methods showed significantly large differences in terms of sensitivity of ctDNA in diagnosing melanoma, while the specificity basically remained the same. Conclusion. We discovered that the diagnostic outcomes between matched tumor samples and ctDNA remained more reliable in melanoma patients. ctDNA has the advantages of low trauma, convenient dynamic monitoring, and simple operation. ctDNA is expected to become an auxiliary method for the diagnosis of melanoma gene mutations.

Phytochemical and In Vitro Cytotoxic Screening of Chloroform Extract of Ehretia microphylla Lamk

Ehretia microphylla of the Boraginaceae family has been extensively used as a folklore remedy for the treatment of a wide range of ailments such as cough, cancer, allergies, and gastrointestinal and venereal disorders. Extensive literature review reports have revealed these findings due to the presence of numerous phytomolecules. To validate traditional claims for cytotoxic activity of E. microphylla, the present study was undertaken. Dried leaves of the plant were powdered and defatted with petroleum ether followed by hot continuous extraction with chloroform. The chloroform extract was subjected to in vitro cytotoxic screening against a panel of human cancer cell lines such as HCT-116 (colon), MCF-7 (breast), PC-3 (prostate), A-549 (lung), HL-60 (leukemia) and MiaPaCa-2 (pancreatic) at 50 µM using SRB assay. The extract exhibited noteworthy cytotoxicity activity against breast and lung cancer. It exhibited 85.55% and 77.93% inhibition against MCF-7 and A-549 cancer cell lines, respectively. The mechanism behind cell death was determined using the DAPI staining method, which induces alteration in nuclear morphology in MCF-7 cell lines evidenced through DAPI staining. Phytochemical screening of E. microphylla extract showed the presence of saponins, steroids, lipids, tannins and triterpenoids. The chemoprofile of the chloroform extract of E. microphylla leaves was established using an n-hexane:ethyl acetate solvent system in a ratio of 6:4. The developed chromatogram showed five spots both in visible and UV light at 254 nm. The information provided in the present study will enable further studies on the isolation and characterization of bioactive compounds/fractions by following bioactivity-guided fractionation, and thus, the plant has the potential to reduce proliferation and may induce cell death via apoptosis in breast cancer cells.

Treatment Activity of Ho(III)-Based Coordination Polymer on Liver Cancer by the Inhibition of Vascular Endothelial Growth Factor Signaling Pathway Activity

A new 0D dinuclear coordination polymer [Ho2(L)6(phen)2] (1) was hydrothermally synthesized based on HoCl3·6H2O, organic ligand HL = 3-hydroxybenzoic acid, and the auxiliary ligand phen = 1,10-phenanthroline (L− is the fully deprotonated organic ligand), and full characterization of the structure was performed via the X-ray single-crystal diffraction data. Once this newly synthesized novel compound was achieved, the way it acted inside the liver cancer was examined, and the corresponding mechanism was determined. First, the Cell Counting Kit-8 (CCK-8) method was conducted to analyze the compound activity after the treatment of liver cancer cells. In addition, real-time reverse-transcription polymerase chain reaction (RT-PCR) method was used to examine the in-cell vascular endothelial growth factor (VEGF) signaling pathway activity. The molecular docking simulation showed that the carboxyl and phenol groups contained active binding receptor sites, indicating that Ho complex has excellent biological activity.

COVID-19 pandemisinin meme kanser teşhis sürecine etkisi

Purpose: The primary aim of thşis study was to evaluate difference in the number of patients with tru-cut biopsies to diagnose breast lesions between non-pandemic and pandemic periods. Materials and Methods: In this study, the nonpandemic period and the pandemic period were compared, the periods for the pandemic times, between March 1, 2018, and 29 February 2020, and for the nonpandemic period, 1 March 2020 to 12 March 2022 to 12 March 2022. In each period, we have included all the tru-cut biopsies for suspected breast cancer. During the pandemic and non-pandemic period, the number of tru-cut biopsies BI-RADS and histopathological findings of the patients who experienced tru-cut biopsies were compared. Results: The number of tru-cut biopsies performed during the nonpandemic and pandemic period was similar (1596, 1599). In the pandemic period, tru-cut biopsy histopathologic reports revealed that benign and high-risk cases decreased statistically, while invasive carcinoma cases increased by 1.9 (95% CI 1.6-2.2) times. During the pandemic period, US-guided BI-RADS 3 and BI-RADS 4a cases decreased statistically significantly, BBI-RADS 4b cases increased 1.4 (95% CI 1.1-2.2) times, BI-RADS 4c cases 1.7 (95% CI 1.2-2.2), BI-RADS 5 cases increased 2.1 (95% CI 1.4-3.1) times Conclusion: There was no significant change in tru-cut biopsy numbers compared to the period of the pandemic and the non-pandemic period. However, the stage of the cancers captured during the period of the pandemic was higher.

Radiomics Nomogram Based on High-b-Value Diffusion-Weighted Imaging for Distinguishing the Grade of Bladder Cancer

Background: The aim was to evaluate the feasibility of radiomics features based on diffusion-weighted imaging (DWI) at high b-values for grading bladder cancer and to compare the possible advantages of high-b-value DWI over the standard b-value DWI. Methods: Seventy-four participants with bladder cancer were included in this study. DWI sequences using a 3 T MRI with b-values of 1000, 1700, and 3000 s/mm2 were acquired, and the corresponding ADC maps were generated, followed with feature extraction. Patients were randomly divided into training and testing cohorts with a ratio of 8:2. The radiomics features acquired from the ADC1000, ADC1700, and ADC3000 maps were compared between low- and high-grade bladder cancers by using the Wilcox analysis, and only the radiomics features with significant differences were selected. The least absolute shrinkage and selection operator method and a logistic regression were performed for the feature selection and establishing the radiomics model. A receiver operating characteristic (ROC) analysis was conducted to assess the diagnostic performance of the radiomics models. Results: In the training cohorts, the AUCs of the ADC1000, ADC1700, and ADC3000 model for discriminating between low- from high-grade bladder cancer were 0.901, 0.920, and 0.901, respectively. In the testing cohorts, the AUCs of ADC1000, ADC1700, and ADC3000 were 0.582, 0.745, and 0.745, respectively. Conclusions: The radiomics features extracted from the ADC1700 maps could improve the diagnostic accuracy over those extracted from the conventional ADC1000 maps.

Detection and Genotyping of Papillomavirus by Real-Time PCR in Iraqi Patients

Background: Cervical cancer (CC) is linked to human papillomavirus (HPV). Globally, the prevalence and genotype distribution differ significantly. Objectives: The goal of this study was to find HPV 14, 16, 18, and 45 genotypes in urogenital swabs by using a real-time PCR amplification test for quantitative genotyping of HPV DNA types 16, 18, and 45 and for simultaneous quantitative detection of HPV DNA types 31, 33, 35, 39, 51, 52, 56, 58, 59, 66, and 68, for a total of 14 HPV genotypes. Methods: This case-control study included 86 cervical swabs from Iraqi women referred by the Al-Yarmook teaching hospital in Baghdad, Iraq. The ages of cases varied from 23 to 70 years and specimens were obtained between March 2020 and March 2021. The DNA was extracted for molecular assay. Fourteen HPV genotypes were detected using real-time PCR (16, 18, 45, 31, 33, 35, 39, 51, 52, 56, 58, 59, 66, and 68). The detection protocol was based on the commercial Kit V31-100/F FRT as follows. For each sample reaction, 10х(N+1) μL of PCR-mix-1-FRT HPV 14 was added into a new tube. Then, 5.0х(N+1) μL of PCR-mix-2 buffer and 0.5х(N+1) μL of TaqF DNA polymerase were added. The tubes were vortexed. Finally, the prepared tubes added 10 μL of DNA samples from test or control samples. The statistical analysis was conducted using the statistical package for SPSS and Excel 2016 software. Results: Genotype 16 had the highest frequency, followed by genotypes 45 (22%), 18 (14%), 35 and 59 (6%), 52 and 58 (4%), and 31 (2%), while genotypes 33, 39, 51, 56, 66, and 68 had the lowest frequency (1%). Conclusions: The real-time PCR was efficient for detecting and genotyping HPV-DNA and could help in earlier detection and clinical care of HPV-infected patients by reducing costs and workload.

Machine Learning–Based Exploratory Clinical Decision Support for Newly Diagnosed Patients With Acute Myeloid Leukemia Treated With 7 + 3 Type Chemotherapy or Venetoclax/Azacitidine

PURPOSE

There are currently limited objective criteria to help assist physicians in determining whether an individual patient with acute myeloid leukemia (AML) is likely to do better with induction with either standard 7 + 3 chemotherapy or targeted therapy with venetoclax plus azacitidine. The study goal was to address this need by developing exploratory clinical decision support methods.

PATIENTS AND METHODS

Univariable and multivariable analysis as well as comparison of a range of machine learning (ML) predictors were performed using cohorts of 120 newly diagnosed 7 + 3-treated AML patients compared with 101 venetoclax plus azacitidine–treated patients.

RESULTS

A variety of features in the two patient cohorts were identified that may potentially correlate with short- and long-term outcomes, toxicities, and other considerations. A subset of these diagnostic features was then used to develop ML-based predictors with relatively high areas under the curve of short- and long-term outcomes, hospital stays, transfusion requirements, and toxicities for individual patients treated with either venetoclax/azacitidine or 7 + 3.

CONCLUSION

Potential ML-based approaches to clinical decision support to help guide individual patients with newly diagnosed AML to either 7 + 3 or venetoclax plus azacitidine induction therapy were identified. Larger cohorts with separate test and validation studies are necessary to confirm these initial findings.

USP36 Facilitates the Progression of Hepatocellular Carcinoma by Upregulating Myc

Objective: Our study will explore the function and regulatory mechanism of USP36 in hepatocellular carcinoma (HCC). Methods: USP36-overexpressed and USP36-knockdown cells were established. The USP36 and Myc level were checked by Western blotting and the cell viability was checked by the MTT method. The apoptotic rate was checked by flow cytometry, while the migration was detected by the Transwell assay. A xenograft model was constructed in nude mice to explore the function of USP36 in HCC. USP36-overexpressed and USP-knockdown cells were constructed by transfecting pcDNA3.1-USP36 and siRNA-USP36 (si-USP36), respectively. Myc-overexpressed cells were constructed by transfecting pcDNA3.1-Myc. Results: Significantly declined cell viability, increased apoptotic rate, elevated number of migrated cells, downregulated Myc, and repressed tumor growth were observed in USP36-knockdown HepG2 and HUH7 cells, while opposite results were observed in USP36-overexpressed HepG2 and HUH7 cells. The expression level of Myc was positively regulated by USP36. However, the USP36 level was not regulated by Myc. Lastly, the declined cell viability, increased apoptotic rate, and elevated number of migrated cells in USP36-knockdown HepG2 cells were dramatically abrogated by the overexpression of Myc. Conclusion: USP36 facilitated the progression of hepatocellular carcinoma by upregulating Myc.

IBD Flare in the COVID-19 Pandemic: Therapy Discontinuation Is to Blame

This prospective case-control study investigated the impact of severe acute respiratory syndrome coronavirus 2 infection on inflammatory bowel disease course and looked for risk factors associated with flares. In the severe acute respiratory syndrome coronavirus 2 pandemic era, inflammatory bowel disease course is not influenced by infection, while therapy discontinuation is a risk factor for disease flare.

Lysyl Oxidase-Like Protein-2 Silencing Suppresses the Invasion and Proliferation of Esophageal Cancer Cells

This study explores the effect of silencing lysyl oxidase-like protein-2 (LOXL2) gene on TE-1 cells. TE-1 cells were transfected by LOXL2-siRNA. E-cadherin, LOXL2, and Snail were detected using Western blot and Real-time PCR. Transwell invasion and migration assay was performed. Flow cytometry detected apoptosis. Cell growth was analyzed with CCK-8 and colony formation. After48 h of transfection, compared with control groups, LOXL2 mRNA in the LOXL2-siRNA group (0.40±0.01) lowered significantly (P < 0.05). Consistently, LOXL2 protein in LOXL2-siRNA group was (0.48± 0.02), significantly lower than that in blank control (1.04± 0.03) and negative control (1.02± 0.02) (P < 0.05). After 72 h of cell culture, the absorbance of LOXL2-siRNA group was (0.43±0.04), which reduced significantly than blank control (0.81±0.05) and negative control (0.84±0.06) (P < 0.05). Similarly, cell clone number after LOXL2-siRNA transfection (72.3±4.2)increased significantly than the negative control (178.8±4.6) and blank control (167.3±3.5) (P < 0.05). However, LOXL2 silencing did not significantly affect cell apoptosis. Furthermore, LOXL2 silencing inhibited Snail while increased E-cadherin (P < 0.05). Conclusively, LOXL2 silencing may suppress the invasion and proliferation of esophageal cancer cells via down-regulating Snail, and up-regulating E-cadherin to inhibit EMT in esophageal cancer cells.

Principles and Practices of Methodology and Methods in Cross-Cultural Psychology

Principles of methodology in (cross-)cultural psychology are discussed and how these work out in practice. We propose that the frequently mentioned contrasts between context-specificity and universality of psychological functioning, and between qualitative and quantitative research traditions can be transcended by an empirical cycle in which both qualitative methods geared to exploration and quantitative methods geared to testing of hypotheses are acknowledged. We note issues in research due to non-random sampling, lack of psychometric equivalence of data, and nesting of individuals in populations. We argue that concerns about poor reproducibility in psychology cannot be ignored in cross-cultural psychology and make suggestions how research can be improved by treating this not as a threat but as an opportunity to expand cooperation.

Evaluation of Perioperative Complications and Mortality in Covid-19 Patients Who Had Emergency Surgery

Objective: The risk for adverse outcomes in COVID-19 patients necessitates further scrutiny in Covid 19 patients in providing appropriate surgical indications and perioperative surgical safety precautions. In this study, we aimed to contribute to elective surgery resumption about infection with early and late postoperative complications and mortality in patients with RT-PCR (+) and clinically suspicious COVID-19 who underwent emergency surgery in our hospital. Methods: A total of 86 patients who have been operated on in our institution for emergency surgery over the age of 18 who were diagnosed with SARS-CoV-2 infection seven days before or 30 days after surgery were enrolled in the study. In this retrospective study, the primary outcome has been established as mortality factors and survival within postoperative 30 days. Results: Regarding the primary outcome as 30-day survival, every 1-year increase in age increased the risk of death by two folds. Patients with one or more comorbidities have an increased risk of death 13 times and those with two or more have an increased risk of death 23 times. Patients in intensive care units increase the risk of death by 8.5 times compared to those who are not hospitalized. On the contrary, an increase in hemoglobin level was shown to reduce the risk of death by 0.8 times. Conclusion: The need for intensive care and mortality is high, especially after emergency surgery, in patients with COVID19 symptoms and more than one comorbidity. Surgical indications of such patients should be well investigated.

Short- and long-term survival after ST-elevation myocardial infarction treated with pharmacoinvasive versus primary percutaneous coronary intervention strategy: a prospective cohort study

Objective

Compare survival in patients with ST-elevation myocardial infarction (STEMI) treated with a pharmacoinvasive (PI) or primary percutaneous coronary intervention (pPCI) strategy based on estimated time to PCI.

Design

Prospective observational cohort study. Consecutive STEMI patients were registered on admission to our PCI centre and classified in a PI or pPCI group, based on the reperfusion strategy chosen in the prehospital or local hospital location. Time and cause of death was provided by the Norwegian Cause of Death registry. Mortality at 30 days, Kaplan-Meier survival and incidence of cardiovascular (CV) death was estimated. Adjusted effect of PI versus pPCI strategy on survival was estimated using logistic and Cox regression and propensity score weighting.

Setting

Single-centre registry in Norway during 2005–2011, within a regional STEMI network allocating patients to a PI strategy if estimated time to PCI >120 min.

Primary outcomes

30-day mortality and survival during follow-up.

Secondary outcome

Incidence of CV death during follow-up.

Results

4061 STEMI patients <80 years were included, 527 (13%) treated with a PI strategy and 3534 (87%) with a pPCI strategy. Median symptom-to-needle time was 110 min (25–75th percentile 75–163) in the PI group vs symptom-to-balloon 230 min (149–435) in the pPCI group. 30-day mortality was 3.2% and 5.0% in the PI and pPCI groups (OR_adjusted0.58 (95% CI 0.30 to 1.13)) and 8-year survival was 85.9% (95% CI 80.9% to 89.6%) and 79.3% (95% CI 76.9% to 81.6%), respectively (HR_adjusted 0.72 (95% CI 0.53 to 0.99)). Unadjusted incidence of 8-year CV death was 7.0% (95% CI 4.4% to 10.4%) in the PI group vs 12.4% (95% CI 9.9% to 15.2%) in the pPCI group. Adjusted long-term CV death was also lower in the PI group.

Conclusion

STEMI patients treated with a PI strategy experienced better survival compared with a pPCI strategy, also when adjusting for baseline characteristics. This supports using a PI strategy for eligible STEMI patients when pPCI cannot be performed within 120 min.

Recent advances in clinical practice: management of inflammatory bowel disease during the COVID-19 pandemic

The COVID-19 pandemic has raised considerable concerns that patients with inflammatory bowel disease (IBD), particularly those treated with immunosuppressive therapies, may have an increased risk of SARS-CoV-2 acquisition, develop worse outcomes following COVID-19, and have suboptimal vaccine response compared with the general population. In this review, we summarise data on the risk of COVID-19 and associated outcomes, and latest guidance on SARS-CoV-2 vaccines in patients with IBD. Emerging evidence suggests that commonly used medications for IBD, such as corticosteroids but not biologicals, were associated with adverse outcomes to COVID-19. There has been no increased risk of de novo, or delayed, IBD diagnoses, however, an overall decrease in endoscopy procedures has led to a rise in the number of missed endoscopic-detected cancers during the pandemic. The impact of IBD medication on vaccine response has been a research priority recently. Data suggest that patients with IBD treated with antitumour necrosis factor (TNF) medications had attenuated humoral responses to SARS-CoV-2 vaccines, and more rapid antibody decay, compared with non-anti-TNF-treated patients. Reassuringly, rates of breakthrough infections and hospitalisations in all patients who received vaccines, irrespective of IBD treatment, remained low. International guidelines recommend that all patients with IBD treated with immunosuppressive therapies should receive, at any point during their treatment cycle, three primary doses of SARS-CoV-2 vaccines with a further booster dose as soon as possible. Future research should focus on our understanding of the rate of antibody decay in biological-treated patients, which patients require additional doses of SARS-CoV-2 vaccine, the long-term risks of COVID-19 on IBD disease course and activity, and the potential risk of long COVID-19 in patients with IBD.

Target Identification-Based Analysis of Mechanism of Betulinic Acid-Induced Cells Apoptosis of Cervical Cancer SiHa

Cervical cancer is the fourth most common female malignancy with high morbidity and mortality, which urgently needs novel anti-cancer drugs. Accumulating investigations have focused on the antitumor activity of betulinic acid (BA), which is a natural compound with low toxicity and high efficiency. Although the effect of BA on SiHa cells is obvious, the specific mechanism is seldom studied. Target identification is an important part of research on the internal mechanism of action. In this current study, an integrated method based on literature collection, target prediction, enrichment analysis, network analysis, and western blotting experiments was performed to identify the potential key targets of BA-induced apoptosis. Then, combined with the identified potential key targets, the specific mechanism of BA-induced cervical cancer SiHa cells apoptosis was elucidated. Our present study demonstrated that BA significantly reduces the viability of cervical cancer SiHa cells in a dose- and time-dependent manner. In addition, 8 potential key targets (AKT1, CASP8, LMNA, TNF, BCL2, CASP3, PARP1, and XIAP) were obtained through our integrated target identification method. Meanwhile, western blotting showed that within a certain concentration range, the expression of cleaved-caspase 3, cleaved-PARP, and cytochrome c increased with the BA concentration, while XIAP was almost unchanged. Therefore, the effect of BA on cervical cancer is noticeable. BA-induced SiHa cells apoptosis is a multi-molecule coordinated process. In this process, BA is not only a participant in either the extrinsic or intrinsic pathways, but also a regulator of apoptosis effector molecules of the CASP3/PARP1 axis.

Construction and validation of gastric cancer diagnosis model based on machine learning

Aim: To screen differentially expressed genes related to gastric cancer based on The Cancer Genome Atlas (TCGA) database and construct a gastric cancer diagnosis model by machine learning. Methods: Transcriptional data, genomic data, and clinical information of gastric cancer tissues and non-gastric cancer tissues were downloaded from the TCGA database, and differentially expressed genes of gastric cancer messenger RNA (mRNA) and long non-coding RNA (lncRNA) were screened out. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyzed the differentially expressed genes, and the protein-protein interaction (PPI) of differentially expressed genes was constructed. Core differentially expressed genes were screened by Cytoscape software’s molecular complex detection (MCODE) plug-in. The differential genes of lncRNA were analyzed by univariate Cox regression analysis and lasso regression for further dimension reduction to obtain the core genes. The core genes were screened by machine learning to construct the gastric cancer diagnosis model. The efficiency of the gastric cancer diagnosis model was verified externally by the Gene Expression Omnibus (GEO) database. Results: Finally, 10 genes including long intergenic non-protein coding RNA 1821 (LINC01821), AL138826.1, AC022164.1, adhesion G protein-coupled receptor D1-antisense RNA 1 (ADGRD1-AS1), cyclin B1 (CCNB1), kinesin family member 11 (KIF11), Aurora kinase B (AURKB), cyclin dependent kinase 1 (CDK1), nucleolar and spindle associated protein 1 (NUSAP1), and TTK protein kinase (TTK) were screened as gastric cancer diagnostic model genes. After efficiency analysis, it was found that the random forest algorithm model had the best comprehensive evaluation, with an accuracy of 92% and an area under the curve (AUC) of 0.9722, which was more suitable for building a gastric cancer diagnosis model. The GSE54129 data set was used to verify the gastric cancer diagnosis model with an AUC of 0.904, indicating that the gastric cancer diagnosis model had high accuracy. Conclusions: Machine learning can simplify the bioinformatics analysis process and improve efficiency. The core gene discovered in this study is expected to become a gene chip for the diagnosis of gastric cancer.

Systemic Analysis of the Anticancer Effects of Sijunzi Decoction on Gastric Cancer Based on Network Pharmacology

Objective:

Sijunzi decoction (SJZD) has been used for alleviating peptic ulcer or gastric discomfort, and treating spleen disorders since the Song Dynasty, but its pharmacological effect on human gastric cancer (GC) is still unclear. In this research, a network pharmacology-based strategy was applied to explore active ingredients, potential targets, and molecular mechanisms of SJZD against GC.

Methods:

The active compounds and potential targets of SJZD, as well as GC-associated gene targets, were retrieved from publicly available databases. Bioinformatics approaches were used to assess the network interaction, functional regulation, and signaling pathways between SJZD ingredients and GC targets. The anticancer effects of SJZD against GC were verified in vivo by a mouse subcutaneous model.

Results:

The results of network analysis showed that quercetin was the most active ingredient in SJZD. Several prominent target genes of SJZD were identified, such as AKT1 and STAT3. Gene ontology analysis revealed that the core anti-GC targets of SJZD included transcription factor activity and kinase activity. Pathway enrichment analysis indicated that GC patients could be benefited from SJZD treatment via modulation of signaling pathways related to endocrine system, cancer, and infectious disease. Furthermore, in vivo experiments showed that high-dose SJZD could inhibit GC xenograft tumor growth, reduce GC cell proliferation, induce GC cell apoptosis, and decrease the expression of p-AKT1 and p-STAT3.

Conclusions:

Taken together, our results suggest that SJZD can serve as an effective adjuvant therapeutic agent for GC patients.

Gut Microbial Profile in Patients with Pancreatic Cancer

Background: Pancreatic cancer is a lethal tumor with a poor prognosis. The connection between pancreatic cancer and gut microbiota is less reported. Objectives: This study analyzed microbial characteristics in patients with pancreatic cancer from the tropical area of China and explored the potential impact of the characteristic microflora on pancreatic cancer. Methods: Stool samples and blood test indices of participants were collected in Hainan, China. Metagenomic sequencing was used to analyze the gut microbiota characteristics. The R corrplot package was used to analyze the correlation between gut microbiota and blood test indices. Results: The microbial community in pancreatic cancer were clustered together and significantly separated from controls. The Simpson index was increased significantly in pancreatic cancer compared to controls. The abundances of butyrate-producing bacteria (Anaerostipes hadrus, Lachnoclostridium phocaeense, and Romboutsia ilealis), Bifidobacteria, and [Eubacterium] eligens were significantly decreased, while Fusobacterium, Enterobacter, and Enterococcus were significantly increased in pancreatic cancer. Prevotella copri may have a vital role in the bacterial interaction network. Pathways connected to metabolism, environment (bacterial secretion system), genetic information (protein export and ribosome), and human diseases (infectious diseases and drug resistance) were increased in the pancreatic cancer group. Butyrate-producing bacteria (butyrate-producing bacterium SS3/4, A. hadrus, R. intestinalis, and Faecalibacterium prausnitzii) and Bifidobacteria were significantly negatively correlated with the neutrophil-to-lymphocyte ratio. Conclusions: The gut microbiome was distinct in patients with pancreatic cancer from the tropical area of China. Changes in intestinal flora abundance and metabolic pathways may play an essential role in the occurrence and development of pancreatic cancer.

Caracterización del cáncer colorrectal en pacientes atendidos en un centro médico del caribe colombiano

Introducción. A nivel mundial el cáncer colorrectal es la tercera causa de malignidad y la segunda causa de mortalidad por cáncer. En Colombia, tiene una prevalencia de 8,3 % dentro de las patologías neoplásicas, ubicándolo en el tercer lugar, después del cáncer de próstata y de mama, lo que lo cataloga como un problema de salud pública, por lo que es de gran importancia mantener datos actualizados acerca de su perfil epidemiológico. Métodos. Se realizó un estudio transversal en pacientes con cáncer colorrectal atendidos en el Hospital Universitario del Caribe, Cartagena, Colombia, durante el periodo 2015-2019. Se analizaron las variables sociodemográficas, clínicas, patológicas e histológicas. Resultados. Se encontraron un total de 268 pacientes atendidos por cáncer colorrectal, con predominio femenino en el (54,5 %) de los casos, y edad promedio de 62 años; con comorbilidades en 48,8 % y sintomatología de dolor abdominal en 56,7 %. El adenocarcinoma se encontró en el 82,1 % de los casos y la intervención más realizada fue la hemicolectomía derecha. Conclusión. El perfil epidemiológico del cáncer colorrectal encontrado en este estudio concuerda con los hallazgos de la literatura médica mundial, comprometiendo especialmente mujeres en nuestra institución.

Structural Variation in Cancer: Role, Prevalence, and Mechanisms

Somatic rearrangements resulting in genomic structural variation drive malignant phenotypes by altering the expression or function of cancer genes. Pan-cancer studies have revealed that structural variants (SVs) are the predominant class of driver mutation in most cancer types, but because they are difficult to discover, they remain understudied when compared with point mutations. This review provides an overview of the current knowledge of somatic SVs, discussing their primary roles, prevalence in different contexts, and mutational mechanisms. SVs arise throughout the life history of cancer, and 55% of driver mutations uncovered by the Pan-Cancer Analysis of Whole Genomes project represent SVs. Leveraging the convergence of cell biology and genomics, we propose a mechanistic classification of somatic SVs, from simple to highly complex DNA rearrangement classes. The actions of DNA repair and DNA replication processes together with mitotic errors result in a rich spectrum of SV formation processes, with cascading effects mediating extensive structural diversity after an initiating DNA lesion has formed. Thanks to new sequencing technologies, including the sequencing of single-cell genomes, open questions about the molecular triggers and the biomolecules involved in SV formation as well as their mutational rates can now be addressed.

Expected final online publication date for the Annual Review of Genomics and Human Genetics, Volume 23 is October 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

miR-556-3p/Disabled Homolog 2-Interacting Protein (dab2ip) Promotes Cancer Progression by Down-Regulating Bcl-2-Like Protein 11 (BIM) Expression in Colorectal Cancer

Colorectal cancer (CRC) is a major threat affecting human health. Studies have shown that miR-556-3p can regulate dab2ip and promote tumor deterioration, and up-regulation of BIM inhibits CRC cell progression. However, the interaction between miR-556-3p/dab2ip and BIM in CRC is unknown. We examined miR-556-3p expression in CRC tissues and cells by RT-qPCR. The impact of miR-556-3p/dab2ip and BIM on CRC cell behaviors were assessed by western blot, transwell and MTT assay. miR-556-3p was highly expressed in CRC and its overexpression increased CRC cell proliferation and migration as well as up-regulated dab2ip and Ki-67 expression. Besides, miR-556-3p could target the BIM and overexpressed miR-556-3p decreased BIM expression. However, silencing of BIM abrogated the impact of overexpressed miR-556-3p on CRC cell proliferation and migration. In conclusion, miR-556-3p/dab2ip promotes cell growth by down-regulating the expression of BIM, thereby promoting the progression of CRC.