Identification of potential inhibitors of thymidylate synthase (TS) (PDB ID: 6QXH) and nuclear factor kappa-B (NF–κB) (PDB ID: 1A3Q) from Capsicum annuum (bell pepper) towards the development of new therapeutic drugs against colorectal cancer (CRC)

Colorectal cancer is the third most deadly cancer globally. Drug resistance and attendant side effects make the available standard anti-colorectal cancer drugs against target receptors inefficient. Phytochemicals from medicinal plants are safer, cheaper, effective, and heal diseases from the cellular level. This study is aimed at identifying potential inhibitors of thymidylate synthase (TS) and nuclear factor kappa-B (NF–κB) target receptors from Capsicum annuum towards the development of new therapeutic drugs against colorectal cancer via in silico approach. One hundred and fifty (150) ligands previously reported from Capsicum annuum were downloaded from the PubChem database and were subjected to chemo-informatics analyses such as ADMET, drug-likeness, oral bioavailability, bioactivity, and PASS prediction to ascertain their therapeutic and safety profile before docking. The ligands that passed the analyses were docked against TS and NF–κB in duplicate using a creditable docking tool (PyRx). Raltitrexed and emetine were used as the standard drug inhibitors for TS and NF–κB, respectively. The results obtained from this study showed that feruloyl-beta-D-glucose (8.45 kcal/mol), 5-O-caffeoylquinic acid (−8.40 kcal/mol), 5-O-caffeoylquinic acid methyl ester (−7.89 kcal/mol), feruloyl hexoside (−7.40 kcal/mol), O-glucopyranoside (−7.55 kcal/mol), and quercetin (−7.00 kcal/mol) shared the same binding pocket with TS while feruloyl-beta-D-glucose (−7.00 kcal/mol), chlorogenic acid (−6.90 kcal/mol), 5-O-caffeoylquinic acid (−6.90 kcal/mol) and feruloyl hexoside (−6.50 kcal/mol) shared the same pocket with NF–κB. These compounds were selected as best hits due to their excellent inhibitory efficiency and chemoinformatic profiles. Thus, the compounds may function as prospective lead compounds for developing a new anti-colorectal cancer drug.

Patient Factors Associated With Increased Cancer Worry, Fatigue, and Impact on Work Following a Breast Cancer Diagnosis: A Cross-Sectional Analysis

Introduction: A breast cancer diagnosis may result in disabling effects which may persist after treatment. The aim of this study was to identify patient factors that are associated with increased cancer worry, fatigue, and impact on work. Methods: Women with a history of breast cancer, aged ≥18 years, and English-speaking were recruited through the Love Research Army between October and November 2019. Participants completed demographic and clinical questions alongside the BREAST-Q Cancer Worry, Fatigue, and Impact on Work scales. Univariable and multivariable regression analyses were used to identify participant characteristics associated with each scale. Results: Cancer Worry, Fatigue, and Impact on Work scales were completed by n = 1680, n = 1037, and n = 873 participants, respectively. Most participants were older than 50 ( n = 1,470, 87.5%), married ( n = 1229, 73.2%), white ( n = 1557, 92.7%), and had undergone surgery for cancer treatment ( n = 1,472, 87.6%). Increased Cancer Worry was significantly associated ( P < .04) with younger age, less time since diagnosis, pain related to cancer/treatment, recurrence, prior chemotherapy, and ongoing breast edema. Increased Fatigue was significantly associated ( P < .01) with elevated BMI, less time since diagnosis, ethnicity, employment status, recurrence, prior chemotherapy, ongoing pain, and difficulty sleeping secondary to treatment. Decreased Impact on Work scores was significantly associated ( P < .04) with chemotherapy administration, shorter time since diagnosis, employment, fatigue related to treatment, breast edema, and ongoing pain. Conclusion: This study reveals patient characteristics associated with increased cancer worry, fatigue, and a negative impact on work following a breast cancer diagnosis. These findings can inform clinical and research initiatives to better support patients through treatment and survivorship.

Rotheca serrata Flower Bud Extract Mediated Bio-Friendly Preparation of Silver Nanoparticles: Their Characterizations, Anticancer, and Apoptosis Inducing Ability against Pancreatic Ductal Adenocarcinoma Cell Line

Over past decades, the green method of synthesizing metal nanoparticles has acquired more attentiveness by scientific consensus because of its industrial and biomedical applications. This study focuses on the anti-proliferative effectiveness of AgNPs synthesized from Rotheca serrata (L.) Steane & Mabb. flower bud extract against the PANC-1 cell line in vitro. Various analytical instruments were utilized to visualize the formation of RsFb-AgNPs, such as UV-Vis spectroscopy, FT-IR, SEM, EDS, TEM, XRD, Zeta potential, and DLS analysis. The biosynthesis of RsFb-AgNPs was observed by a change in color and UV-Vis spectroscopy (415 nm). The FT-IR spectra exhibited the existence of many functional groups. XRD confirmed the crystallinity of the AgNPs. Morphology and elemental mapping were assessed by SEM and EDS analysis. The TEM micrograph revealed spherical-shaped particles with sizes ranging from 12 to 40 nm. Zeta potential and DLS analysis were used to measure surface charge and particle size. Biological properties, including the antioxidant, antimicrobial, and anticancer properties of synthesized RsFb-AgNPs, exhibited dose-dependent activities. In DPPH assay, synthesized RsFb-AgNPs inhibited the scavenging of free radicals in a dose-dependent manner. In addition, the resultant RsFb-AgNPs displayed moderate antimicrobial activity against tested pathogens. Further, the anti-proliferative efficacy of biosynthesized RsFb-AgNPs was determined against the PANC-1 cell line using the MTT assay. The results revealed a dose-dependent decrease in viability of cancer cells with an IC50 value of 36.01 µg/mL. Flow cytometry was then used to confirm the apoptotic effects by double staining with annexin V/PI. In response to the pancreatic ductal adenocarinoma cell line, the results showed notable early and late apoptosis cell population percentages. In conclusion, the synthesized RsFb-AgNPs revealed a potential anticancer agent that can induce apoptosis in the PANC-1 cells.

Manejo odontológico de las manifestaciones orales inducidas por radioterapia de cabeza y cuello

La radioterapia es una de las primeras opciones de tratamiento para el cáncer de cabeza y cuello; sin embargo, puede ocasionar diversas manifestaciones secundarias en la cavidad oral tales como mucositis oral, xerostomía, infecciones orales oportunistas, osteorradionecrosis y trismo. El presente artículo tiene como objetivo describir el manejo preventivo y terapéutico de las complicaciones orales inducidas por radioterapia de cabeza y cuello en la práctica odontológica propuestos hasta la actualidad. Se encontraron diversas medidas que han logrado reducir la incidencia y gravedad de dichas manifestaciones orales; sin embargo, aún existen algunas que requieren de más estudios para confirmar su efectividad. Palabras clave: cáncer de cabeza y cuello; manifestaciones bucales; radioterapia; terapéutica.

Liver CT Image Recognition Method Based on Capsule Network

The automatic recognition of CT (Computed Tomography) images of liver cancer is important for the diagnosis and treatment of early liver cancer. However, there are problems such as single model structure and loss of pooling layer information when using a traditional convolutional neural network to recognize CT images of liver cancer. Therefore, this paper proposes an efficient method for liver CT image recognition based on the capsule network (CapsNet). Firstly, the liver CT images are preprocessed, and in the process of image denoising, the traditional non-local mean (NLM) denoising algorithm is optimized with a superpixel segmentation algorithm to better protect the information of image edges. After that, CapsNet was used for image recognition for liver CT images. The experimental results show that the average recognition rate of liver CT images reaches 92.9% when CapsNet is used, which is 5.3% higher than the traditional CNN model, indicating that CapsNet has better recognition accuracy for liver CT images.

Development of a Core Set of Self-Management Support Needs of Esophageal Cancer Patients: Results from a Delphi Study among Healthcare Professionals

Objective. We aimed to gain consensus on HCPs’ perspectives on self-management support information needs of patients with esophageal cancer during the preoperative phase. Methods. Based on the literature, observations of clinical consultations, and hospital patient information leaflets, a survey was created. HCPs were surveyed twice about their opinion on importance of information, from “not essential” to “absolutely essential,” using Delphi methods. Topics were included in the second round if predetermined criteria were met. To be included in the final list, topics had to meet criteria for consensus and stability. Results. 64 information items and 6 sources of support were identified. Survey response rates were 59% (68 out of 116, first round) and 75% thereafter. The final list included 33 topics, including logistical information, expectations for future health condition, complications, follow-up care, nutrition during treatment, and nutrition during recovery as topics with 100% agreement. Consensus on the source of support was reached for face-to-face contact, written information, information video, and a case manager. Conclusion. This study provides a list of important topics, from the perspectives of HCPs, to guide the systematic provision of education to support EC patients’ self-management during the preoperative phase. Additionally, the most preferred sources of support were face-to-face contact and a case manager.

Determinants of Quality of Life in Breast Cancer: Meta-Analytic Structural Equation Modeling of Studies

Objective. Quality of life (QoL) is a major concern in breast cancer (BC) patients. Despite efforts, no study has comprehensively addressed determinants of QoL in patients with BC. This study aimed to synthesize evidence on QoL correlations using the meta-analytic structural equation modeling (MASEM) approach. Methods. Our search in PubMed, Web of Science, Scopus, and Cochrane databases resulted in 5,238 initial relevant papers, 73 of which were eligible for final analysis with a total of 44,121 patients. We used a two-stage procedure of correlation-based MASEM to examine the relationship between QoL and body mass index (BMI), physical activity (PA), sleep, depression, fatigue, and stress. Results. Final MASEM model suggested that PA (path coefficient = 0.33, 95% CI = −0.0444; 0.6334), fatigue (path coefficient = −0.23, 95% CI = −0.6825; 0.0361), and stress (path coefficient = −0.22, 95% CI = −0.5143; 0.6875) were the most important factors related to QoL in patients with breast cancer. Final model identified variables responsible for 68% of the variation in QoL in BC. Conclusion. QoL is an important outcome in the treatment course of BC. Large-scale and meta-analysis studies could help patients to have a life with improved quality.

Susceptibilidad genética y aclaramiento viral de la infección por Virus de la Hepatitis C

El virus de la hepatitis C (VHC) sigue siendo una de las principales causas de hepatitis crónica en el mundo occidental. Del 15 % al 40 % de los individuos con infección aguda por VHC logran el aclaramiento viral espontáneo; sin embargo, los factores y variables asociadas a este fenómeno no están completamente descritas. El análisis de los mecanismos de patogénesis de la infección por VHC es indispensable para identificar los factores y variables implicadas en el aclaramiento espontáneo o en la persistencia de la infección. En algunos estudios se han documentado los factores del huésped asociados al aclaramiento viral espontáneo durante la infección aguda, entre ellos el polimorfismo del gen de la interleucina -28 (IL28B) que codifica para el interferón lambda 3 (IFNL3). El objetivo de este artículo es realizar una revisión de la literatura sobre la fisiopatología de la infección por el VHC y describir la evidencia acerca del papel de los polimorfismos en el gen IL28B y su impacto en el proceso de aclaramiento viral espontáneo, así como en otros aspectos de la historia natural y el tratamiento de la infección.

Comparison of 3D-Conformal Planning Using Partially Wide Tangents and Direct Photon/electron Portals for Breast Radiotherapy with Internal Mammary Nodes Inclusion: A Dosimetric Analysis

Background: Internal mammary lymph nodes (IMNs) are a potential site of metastasis for breast cancer. Targeting IMNs as part of a comprehensive regional nodal irradiation comes at the cost of higher unwanted doses to critical nearby organs at risk. Thus, the efficacy and safety of different radiotherapy techniques for the coverage of this area remain elusive. Objectives: We present a dosimetric comparison between partially wide tangents (PWT) and direct photon/electron (P/E) portals in terms of target volume coverage and normal tissue sparing. Methods: Patients with left-sided breast cancer, who were referred to our clinic for post-lumpectomy or post-mastectomy radiotherapy, underwent computed tomography (CT) simulation. The left breast and IMNs, heart, lung, right breast, and esophagus were contoured. Dosimetric comparisons were based on dose-volume histograms (DVHs) generated for all of the aforementioned organs. A subgroup analysis was also performed based on patients’ type of surgical treatment. Results: A total of 30 patients (10 with breast conserving surgery and 20 with modified radical mastectomy) were included. The P/E plan provided a higher coverage of the left breast (P-value of CTV V105%: < 0.001) and IMNs with a P-value of 0.087 regarding the mean dose received by IMNs, and also less volume of the heart (P-value of Heart V30Gy: 0.021), and lungs (P-value of Lung V20Gy: 0.003) were irradiated. However, these advantages came at the cost of a higher dose to the esophagus and right breast and more hotspots compared to the PWT technique. Conclusions: The P/E technique had advantages regarding target volume coverage and toxicity regardless of the type of surgery. Based on the results of this study, overall, the P/E portal is superior to the PWT for radiotherapy of breast cancer with internal mammary node inclusion. However, the appropriate treatment plan should be decided on a case-by-case basis.

EGFR and p38MAPK Contribute to the Apoptotic Effect of the Recombinant Lectin from Tepary Bean (Phaseolus acutifolius) in Colon Cancer Cells

Previous works showed that a Tepary bean lectin fraction (TBLF) induced apoptosis on colon cancer cells and inhibited early colonic tumorigenesis. One Tepary bean (TB) lectin was expressed in Pichia pastoris (rTBL-1), exhibiting similarities to one native lectin, where its molecular structure and in silico recognition of cancer-type N-glycoconjugates were confirmed. This work aimed to determine whether rTBL-1 retained its bioactive properties and if its apoptotic effect was related to EGFR pathways by studying its cytotoxic effect on colon cancer cells. Similar apoptotic effects of rTBL-1 with respect to TBLF were observed for cleaved PARP-1 and caspase 3, and cell cycle G0/G1 arrest and decreased S phase were observed for both treatments. Apoptosis induction on SW-480 cells was confirmed by testing HA2X, p53 phosphorylation, nuclear fragmentation, and apoptotic bodies. rTBL-1 increased EGFR phosphorylation but also its degradation by the lysosomal route. Phospho-p38 increased in a concentration- and time-dependent manner, matching apoptotic markers, and STAT1 showed activation after rTBL-1 treatment. The results show that part of the rTBL-1 mechanism of action is related to p38 MAPK signaling. Future work will focus further on the target molecules of this recombinant lectin against colon cancer.

Physico-mechanical and ex vivo analysis of aloe-alginate hydrogels for cervical cancer treatment

A leading cancer diagnosis in women worldwide is cervical cancer, with current treatments all posing a risk of serious side effects. Less toxic, but effective treatments are sought after. Aloe vera ( barbadensis miller), known for its beneficial properties, has been studied for cancer treatment. While aloe gel has been shown to exhibit anti-cancer activity, it cannot form a hydrogel alone. Therefore, an interpenetrating network comprising alginate blended with aloe was examined as a cervical cancer treatment. We hypothesized the antioxidant properties of aloe gel would decrease cancer cell viability while the alginate hydrogel would improve mucoadhesion. We further hypothesized the antioxidant activity of aloe gel would induce cancer cell death at levels similar to common chemotherapeutics, and aimed to determine if these chemotherapeutic behaviors are constructive or destructive. Material and adhesive properties, drug encapsulation, and cancer cell viability were investigated and validated. The effect of aloe-alginate hydrogels on cervical cancer cell viability was not significantly different compared to aloe-blends containing doxorubicin (DOX), indicating that the aloe alone decreased cancer cell viability rendering the additional cytotoxic therapeutic not impactful as an adjuvant therapy. This study provides insight into the potential of natural biopolymers for treating cervical cancer without systemic toxic compounds.

Ethacridine Regulation of JAK/STAT/ERK Signaling Pathway in Colon Cancer Cells SW620: In Vitro Approach

Background

Ethacridine have anticancer effects by inhibiting regulatory transcription factors and cell viability in various cancer cells. To investigate the effect of ethacridine on colorectal cancer cell lines, SW620 was studied via regulation of JAK/STAT/ERK signaling pathway.

Materials and Methods

Different doses of ethacridine (5–35 µM) expressed antiproliferative effects by decreasing the viability in a dose-dependent manner and the IC50 value was found to be 10 µM.

Results

Subsequent treatment with 10 µM of ethacridine showed that it induced mitochondrial dysfunction and reactive oxygen species generation. DAPI and PI staining assays revealed prominent apoptotic cells under the microscope when treated with 10 µM of ethacridine. In the mRNA expression study performing RT-PCR of apoptotic markers, cyclin-D1, Bax, Bcl-2, caspase 3, C-Myc, and surviving, enhanced levels of these markers were suppressed, which was inversely proportional to the levels of apoptotic enhancers namely Bax and caspase-3. It was also observed that increased NF-κB, IL-6, TNF-α, and COX-2 in colorectal cancer are suppressed by ethacridine. The expressions of JAK/STAT/ERK were also significantly suppressed after ethacridine treatment in SW620 cell lines.

Conclusion

In summary, it was corroborated that ethacridine promoted apoptosis in colon cancer cells by inhibiting quite a few cell signaling factors.

Proteína C reactiva como biomarcador predictivo de fuga anastomótica en cirugía oncológica colorrectal: estudio de cohorte retrospectivo

Introducción. La fuga anastomótica es la complicación más grave del tratamiento quirúrgico del cáncer de colon por su alta morbimortalidad. El diagnóstico evidente, manifestado por la salida de contenido intestinal por drenajes o la herida quirúrgica, ocurre tardíamente (entre el 6º y 8º día). El objetivo de este trabajo fue estudiar la variación de los valores de la proteína C reactiva postoperatoria para hacer un diagnóstico precoz. Métodos. Estudio observacional, analítico, retrospectivo, de una cohorte de pacientes con neoplasia, en quienes se realizó cirugía oncológica con anastomosis intestinal, entre enero de 2019 y diciembre de 2021. Se midieron los valores en sangre de proteína C reactiva postoperatoria (1°, 3° y 5° días). Resultados. Se compararon 225 casos operados que no presentaron fuga con 45 casos con fuga. En los casos sin fuga, el valor de proteína C reactiva al 3º día fue de 148 mg/l y al 5º día de 71 mg/l, mientras en los casos con fuga, los valores fueron de 228,24 mg/l y 228,04 mg/l, respectivamente (p<0,05). Para un valor de 197 mg/l al 3º día la sensibilidad fue de 77 % y para un valor de 120 mg/l al 5º día la sensibilidad fue de 84 %. Conclusión. El mejor resultado de proteína C reactiva postoperatoria para detectar precozmente la fuga anastomótica se observó al 5º día. El valor de 127 mg/l tuvo la mejor sensibilidad, especificidad y valor predictivo negativo, lo cual permitiría el diagnóstico temprano y manejo oportuno de esta complicación.

Sentiment Analysis to Understand the Perception and Requirements of a Plant-Based Food App for Cancer Patients

Understanding human perception and requirements on food for cancer prevention and condition management is important so that food applications can be catered to cancer patients. In this paper, web scraping was conducted to understand the public’s perception, attitude, and requirements related to a plant-based diet as a recommended diet for cancer prevention and condition management. Text and sentiment analyses were carried out on results gathered from 82 social sites to determine whether noncancer and cancer patients use plant-based diets, how they have been consumed, their benefits in the prevention and condition management of cancers, the existing myths/fake news about cancer, and what do cancer patients need in a food app. The results of the text analysis highlighted gaps in existing apps, including a lack of credibility as there were a lot of fake news and myths about cancer and endorsement by professionals. Future food apps should provide personalized diets to include both plant-based diets as well as meat, symptom management, good user experience, credibility, and emotional and mental health support.

Development of a Novel KCNN4-Related ceRNA Network and Prognostic Model for Renal Clear Cell Carcinoma

Background. Clear cell renal cell carcinoma (ccRCC) accounts for more than 80% of renal cell carcinomas. Yet, it has not been fully understood about the derivation and progression of the tumor, as well as the long-term benefits from multimodality therapy. Therefore, reliable and applicable molecular markers are urgently needed for the prediction of diagnosis and prognosis of ccRCC patients. Methods. Genetic and clinical information of 533 ccRCC patients from The Cancer Genome Atlas database was collected for comprehensive bioinformatic analyses. UALCAN was used to detect gene expression in paired tumor samples. Two data sets from Gene Expression Omnibus database were analyzed to identify differentially expressed genes (DEGs), and Gene Set Enrichment Analysis was applied for the functional enrichment of DEGs. Tumor Immune Single Cell Hub and Tumor IMmune Estimation Resource databases were separately used for analyses of single-immune cell and immune cell infiltration. Encyclopedia of RNA Interactomes database was explored to predict targeted microRNAs (miRNAs) and corresponding long non-coding RNAs (lncRNAs). Cox regression analysis was performed for the construction of risk signature and prognosis model. Finally, quantitative real-time polymerase chain reaction and western blot were conducted for KCNN4 expression detection in cell lines and clinical samples. Small interfering RNA was employed to knock down KCNN4, and corresponding functional experiments were conducted on ccRCC cells as well. Results. KCNN4 showed elevated expression in tumors and prominent clinical correlation in ccRCC. In total, 41 KCNN4-related genes were enriched, and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses showed they were intimately related to immune-related signaling pathways. Spearman’s analysis revealed the significantly positive correlation of KCNN4 with immune cell infiltration. By integrating hub miRNA-let-7e-5p and four critical lncRNA, a competitive endogenous RNA network-based risk signature was constructed. The prognosis model derived from it showed considerable predictive value for survival of ccRCC patients. Finally, in vitro experiments confirmed the remarkable tumor-promoting role of KCNN4 in ccRCC cells. Conclusion. KCNN4 significantly affected the immune status of tumor microenvironment and immunotherapy elements, through which it promoted tumor progression in ccRCC, and it could be a potential biomarker for prognosis and immunotherapy effects of ccRCC patients.

Aflatoxin Susceptible Food Consumption Frequency, Prevalence, and Levels in Household Foodstuffs in Southwestern Uganda

Contamination of household foodstuffs by aflatoxins has been associated with many illnesses, especially hepatocellular cancer and malnutrition. Aflatoxins are toxins produced by fungi, especially Aspergillus flavus and Aspergillus parasiticus, usually found in food. Literature concerning the S.W. Ugandan foods that are the main aflatoxicosis route and therefore need most aflatoxin preventive measure is scanty. The current study determined the aflatoxin-susceptible food consumption frequency, prevalence, and levels of aflatoxins in selected foodstuffs in households in S.W. Uganda to establish the main food route of aflatoxicosis. Following a food frequency questionnaire, flour samples of common foodstuffs, namely, groundnuts, maize, millet, and sorghum, were randomly picked from seven districts of Southwest Uganda and analyzed for the presence and levels of aflatoxins using competitive ELISA. On average, maize and groundnut were found to be the most frequently consumed foods (seven times a week) by every family. Groundnuts had the highest mean aflatoxin level (96.5 ± 13.37 μg/kg), ranging from 6.2 to 297.3 μg/kg. Over 90% of the groundnut samples had mean aflatoxin levels greater than 10 μg/kg, the East African regulatory limit. Maize flour had a mean aflatoxin level of 34.1 ± 14.1 μg/kg, with one sample registering 336.5 μg/kg. This study found that groundnuts were the main food-route for aflatoxicosis followed by maize flour. In addition, the study re-affirmed the high prevalence and levels of aflatoxins in common food stuff in households in S.W. Uganda reported by previous studies. This study recommends further studies to elucidate its association with the observed recent increase in diseases like hepatocellular cancer and malnutrition in the region.

Comparative Transcriptional Signature Analysis of Peripheral Blood Mononuclear Cells in Early Stage of Hepatitis B-related Hepatocellular Carcinoma

Background: Hepatocellular carcinoma (HCC) is a prevalent and life-threatening tumor with high morbidity and mortality. Proper prediction and prognosis are incredibly stressed to diagnose HCC and increase patient survival. Objectives: This research aims to evaluate gene expression levels of pre-differentiated transcripts for those suffering from chronic hepatitis B (CHB) and HCC. Methods: To examine the previously analyzed peripheral blood mononuclear cells (PBMCs) transcriptomic array data, we selected seven differentially expressed genes (DEGs) in normal versus CHB and CHB versus HCC (CD44, SP3, USP8, E2F2, UFM1, IFN regulative factor binding protein 2 (IRF2BP2), and T-cell intracellular antigen 1 (TIA1)). The study included individuals with treatment-naïve CHB (n = 30) and primary HCC (n = 25) and healthy controls (n = 15). Subsequently, the expression of genes was assayed using qRT-PCR. A phylogenetic evaluation was performed using direct sequencing of HBsAg. Results: In HCC patients, 60% (n = 15) were HBeAg-positive. HBeAg was negative in all CHB patients, but all were anti-HBe-positive. The hepatitis B virus (HBV) load of HCC patients was more than that of CHB subjects. All patients were of the Iranian race and HBV D genotype. The expression of five transcriptional markers (CD44, SP3, USP8, E2F2, and UFM1) was higher in HCC patients than in CHB and healthy subjects, which was similar to the initial microarray data analysis. Conclusions: Transcriptional signatures may be related to the pathogenesis of HCC and used as diagnostic biological markers for the initial monitoring and prediction of HCC.

Serum oxidant, antioxidant, and paraoxonase levels in COVID-19 patients

Purpose: The aim of his study was to determine serum oxidant status (TOS), antioxidant status (TAS), and paraoxonase (PON1) levels and to determine their diagnostic values in patients diagnosed with COVID-19. Materials and Methods: The research was carried out on patients diagnosed with COVID-19. Within the scope of the study, a total of 87 patients with a diagnosis of COVID-19, 48 (55.1%) male and 39 (44.9%) were evaluated. Total antioxidant determination was performed using a microplate reader according to the Erel method. To calculate the Oxidative stress index (OSI), TOS and TAS levels were determined. Results: Male gender was associated with high PON1, smoking with high TOS, the presence of hypertension and Diabetes mellitus (DM) diseases with low OSI, and the presence of asthma with low PON1. High PON1 was found to be associated with shorter hospitalization duration and high TOS was associated with longer hospitalization duration. TAS and TOS levels increased significantly due to the increase in CRP, TOS levels due to the increase in neutrophil level, OSI levels due to the increase in leukocyte level, PON1 levels increased due to the increase in LDH level TAS, TOS, OSI, and PON1 cut-off values were 1.41 (AUC: 0.647), 4.56 (AUC: 0.493), 0.421 (AUC: 0.505) and 340 (AUC: 0.536), sensitivity values were 65.5, 55.2, 48.3 and 51.7; specificity values were calculated respectively as 62.1, 46.6, 34.5 and 53.4. Conclusion: Although it is seen that oxidative stress types have diagnostic value, there is a need for more comprehensive studies with larger samples on the subject.

Metastatic Breast Cancer: Cytology Diagnosis with Implications for Treatment

Breast cancer is among the most frequent malignancies in women worldwide. While early detection and effective treatment provide many women with a cure and prevent their cancer from spreading, metastases to distant sites still occur in around 20% of women suffering from breast cancer. These relapses occur in many forms and locations and are as varied as the primary breast tumors. Metastatic spread makes a cancer incurable and potentially lethal, but new, targeted treatments can offer control of the cancer cells if the features of new targets are unlocked by advanced diagnostic testing. The article offers an overview of the pathomechanisms of metastatic progression and describes the types of metastases, such as hormone-receptor-positive and -negative breast cancers, and HER2-overexpressing or triple-negative types. Once distant metastatic spread occurs, cytology allows a precise diagnosis to confirm the breast origin. Other molecular targets include ESR1 and PIK3CA mutations, MSI, NTRK fusion, PD-L1 expression and others, which can be obtained also from cytology material and used to determine eligibility for emerging targeted therapeutic options. We outline the diagnostic features of metastatic breast cancer in cytology samples, together with validated and emergent biomarkers that may provide new, targeted treatment options.

A Flexible Wearable Thermography System Based on Bioheat Microsensors Network for Early Breast Cancer Detection: IoT Technology

Many women diagnosed by traditional screening methods, such as palpation, mammography, and MRI, do not discover their cancer until it is relatively advanced. This makes treatment more difficult and reduces the chance of a cure. To deal with this issue, we have developed a noninvasive embedded thermography system that allows for an early detection of breast cancer. Indeed, the surface temperature distribution of the breast, which we will call the thermal image, can be used as a preventive indicator of the subsequent development of a cancerous tumor. This is due to the metabolic activity of the immune system, which induces, in the presence of cancer cells, a local increase of temperature even before the tumor tissue is differentiated and detectable by conventional imaging systems. The proposed system is designed as a network of bioheat microsensors applied to the breast, to measure periodically the temperature gradients on the surface. All the bioheat microsensors are addressed by a microcontroller via the I2C protocol. To calibrate and evaluate the proposed system, we have proposed an experimental model of the breast, inside which we have placed Joule effect heating elements.

Impact of COVID-19 Pandemic on Pre-Transfusion Hemoglobin Level and Frequency of Transfusion in Transfusion-Dependent Thalassemia Patients in Indonesia

Transfusion-dependent thalassemia is the most severe form of thalassemia; patients require regular blood transfusions to maintain their hemoglobin level. The COVID-19 pandemic has disrupted the routine measures for controlling chronic diseases like thalassemia. This study aims to measure the difference in pre-transfusion hemoglobin levels and the frequency of transfusions before and during pandemic. This retrospective cross-sectional study utilized medical record data of 101 transfusion-dependent thalassemia (TDT) patients treated in Cipto Mangunkusumo Hospital (CMH) from 2019–2021. The dependent variables of this study were pre-transfusion hemoglobin level and transfusion attendance. The pre-pandemic phase was defined as 30 March 2019 to 29 March 2020, whereas the during-pandemic phase was from 30 March 2020 to 29 March 2021. Up to 59.4% of subjects had suboptimal Hb levels of <9.0 g/dL, even before the pandemic, and this increased to 71.3% during the pandemic. The mean pre-transfusion hemoglobin level before the pandemic was 8.71 g/dL, and this decreased to 8.46 g/dL (p value < 0.001). Transfusion attendance before and during the pandemic showed no significant difference (p-value = 0.990). Our study shows poorer control of pre-transfusion Hb levels during the pandemic. This puts patients at higher risk of developing many long-term complications.

The role of nutritional support in treatment of head and neck tumors: clinical case

The article presents a clinical observation of treatment of locally advanced squamous cell oropharyngeal carcinoma. The problems of nutritional support of patients during primary chemoradiation treatment are considered. The presented clinical case shows that use of sip feeds can significantly improve nutritional condition in patients with head and neck tumors and improve tolerability and results of antitumor treatment.

Immunohistochemical Analysis of Nicotinamide Phosphoribosyltransferase Expression in Gastric and Esophageal Adenocarcinoma (AEG)

Nicotinamide phosphoribosyltransferase (NAMPT) represents a major component in cellular energy metabolism, which is also crucial for cancer cells that have elevated aerobic glycolysis; moreover, targeting the NAD salvage pathway by inhibition of NAMPT was shown effective in a subgroup of gastric cancer cell lines. In order to study the expression levels of NAMPT in adenocarcinoma of the esophagogastric junction and stomach (AEG/S) we performed immunohistochemical analysis in a cohort of 296 tumor samples using tissue-microarrays (TMAs). In the present investigation, we saw a high expression of NAMPT in only a minority of our large AEG/S cohort. Although we did not find a correlation between NAMPT expression and survival, subgroup analysis showed that NAMPT expression was more frequent in older patients (>65 years, p = 0.049) and was associated with a numerical shorter survival that did not reach statistical significance within this age group. In conclusion, we did not find significance for any prognostic effect of NAMPT in our AEG/S cohort; however, the evaluation of other NAD metabolic enzymes is needed as molecular predictors of response to potential NAMPT inhibition in the treatment of patients with AEG/S.

Advancements in Thyroidectomy: A Mini Review

Demand for minimally invasive surgery has driven the development of new gadgets and surgical techniques. Yet, questions about safety and skeptical views on new technology have prevented proliferation of new modes of surgery. This skepticism is perhaps due to unfamiliarity of new fields. Likewise, there are currently various remote-access techniques available for thyroid surgeons that only few regions in the world have adapted. This review will explore the history of minimally invasive techniques in thyroid surgery and introduce new technology to be implemented.

TET3 governs malignant behaviors and unfavorable prognosis of esophageal squamous cell carcinoma by activating the PI3K/AKT/GSK3β/β-catenin pathway

Ten–eleven translocation 3 (TET3) participates in tumorigenesis and malignant transformation by mediating DNA demethylation and specific gene activation in malignances. This study aims to elucidate its molecular function and regulatory mechanism in esophageal squamous cell carcinoma (ESCC). Stable ESCC cells that infected with TET3 overexpression (OE) and knockdown lentiviral vector had been established. The biological behaviors and molecular mechanism of TET3 were demonstrated by cell biology experiments in vitro and in vivo. Tissues from patients with ESCC were used to demonstrate the clinical value of TET3. Our findings revealed that TET3 is highly expressed in ESCC tissues and related to poor prognosis of patients with ESCC. OE of TET3 presented a significant effect on proliferation, metastatic potential, and spheroid formation of ESCC cells by activating the PI3K/AKT/GSK3β/β-catenin axis. Knockdown of TET3 could remarkably reverse these malignant phenotypes. Patients with ESCC with high TET3 expression resulted in a shorter overall survival (OS) and disease-free survival. Based on the multivariate analysis, TET3 could be an independent favorable factor for predicting OS and recurrence. The high expression of TET3 not only aggravates malignant behaviors in vitro and in vivo but also becomes a novel biomarker for clinical monitoring and individualized precision treatment for patients with ESCC.

Case Report: A case of radioactive iodine-refractory thyroid cancer accompanying cervical lymph node metastasis treated with US-guided RFA combined with 125I seed implantation

Background

Local control of metastases is critical to improving the life quality of patients with radioactive iodine-refractory (RAIR) thyroid cancer accompanying regional lymph node metastasis.

Case report

The reported patient suffered from RAIR thyroid cancer accompanying poorly controlled cervical lymph node metastasis. The patient’s lesions were controlled through 125I seed implantation combined with ultrasound-guided radio-frequency ablation (US-guided RFA). Such a combination therapy has not been reported to date.

Conclusion

This study found US-guided RFA combined with 125I seed implantation to be safe and effective for the control of cervical local metastases in patients with RAIR thyroid cancer.

A novel approach for dose painting radiotherapy of brain metastases guided by mr perfusion images

Purpose

To investigate the feasibility and dosimetric index features of dose painting guided by perfusion heterogeneity for brain metastasis (BMs) patients.

Methods

A total of 50 patients with single BMs were selected for this study. CT and MR simulation images were obtained, including contrast-enhanced T1-weighted images (T1WI+C) and cerebral blood flow (CBF) maps from 3D-arterial spin labeling (ASL). The gross tumor volume (GTV) was determined by fusion of CT and T1WI+C images. Hypoperfused subvolumes (GTVH) with less than 25% of the maximum CBF value were defined as the dose escalation region. The planning target volume (PTV) and PTVH were calculated from GTV and GTVH respectively. The PTVN was obtained by subtracting PTVH from PTV, and conventional dose was given. Three kinds of radiotherapy plans were designed based on the CBF values. Plan 1 was defined as the conventional plan with an arbitrary prescription dose of 60 Gy for PTV. For dose painting, Plan 2 and Plan 3 escalated the prescription dose for PTVH to 72 Gy based on Plan 1, but Plan 3 removed the maximum dose constraint. Dosimetric indices were compared among the three plans.

Results

The mean GTV volume was 34.5 (8.4-118.0) cm3, and mean GTVH volume was 17.0 (4.5-58.3) cm3, accounting for 49.3% of GTV. Both conventional plan and dose painting plans achieved 98% target coverage. The conformity index of PTVH were 0.44 (Plan1), 0.64 and 0.72 (Plan 2 and Plan 3, P&lt;0.05). Compared to Plan 1, the D2%, D98% and Dmean values of the PTVH escalated by 20.50%, 19.32%, and 19.60% in Plan 2 and by 24.88%, 17.22% and 19.22% in Plan 3 respectively (P&lt;0.05). In the three plans, the index of achievement value for PTVH was between 1.01 and 1.03 (P&lt;0.05). The dose increment rates of Plan 2 and Plan 3 for each organs at risk (OARs) was controlled at 2.19% - 5.61% compared with Plan 1. The doses received by OARs did not significantly differ among the three plans (P &gt;0.05).

Conclusions

BMs are associated with significant heterogeneity, and effective escalation of the dose delivered to target subvolumes can be achieved with dose painting guided by 3D-ASL without extra doses to OARs.

For insights into the real world, consider real-world data

Randomized control trials (RCTs) are required before drug and device approvals and have contributed to patient safety, but they have also increased the cost and time of regulatory assessments. We propose that using real-world evidence to complement or, in some settings, to replace RCTs will accelerate delivery of new drugs to patients.

Biomarkers in the development of individualized treatment regimens for colorectal cancer

Introduction

Colorectal cancer (CRC) is the third most common and second most deadly malignancy in the world with an estimated 1. 9 million cases and 0.9 million deaths in 2020. The 5-year overall survival for stage I disease is 92% compared to a dismal 11% in stage IV disease. At initial presentation, up to 35% of patients have metastatic colorectal cancer (mCRC), and 20–50% of stage II and III patients eventually progress to mCRC. These statistics imply both that there is a proportion of early stage patients who are not receiving adequate treatment and that we are not adequately treating mCRC patients.

Body

Targeted therapies directed at CRC biomarkers are now commonly used in select mCRC patients. In addition to acting as direct targets, these biomarkers also could help stratify which patients receive adjuvant therapies and what types. This review discusses the role of RAS, microsatellite instability, HER2, consensus molecular subtypes and ctDNA/CTC in targeted therapy and adjuvant chemotherapy.

Discussion

Given the relatively high recurrence rate in early stage CRC patients as well as the continued poor survival in mCRC patients, additional work needs to be done beyond surgical management to limit recurrence and improve survival. Biomarkers offer both a potential target and a predictive method of stratifying patients to determine those who could benefit from adjuvant treatment.

Intratumoral microbiome and gastrointestinal cancers

Emerging studies have revealed the role of microbiota in regulating tumorigenesis, development, and response to antitumor treatment. However, most studies have focused on gut microbiota, and little is known about the intratumoral microbiome. To date, the latest research has indicated that the intratumoral microbiome is a key component of the tumor microenvironment (TME), and can promote a heterogeneous immune microenvironment, reprogram tumor metabolism to affect tumor invasion and metastasis. In this review, we will summarize existing studies on the intratumoral microbiome of gastrointestinal cancers and reveal their crosstalk. This will provide a better understanding of this emerging field and help to explore new therapeutic approaches for cancer patients by targeting the intratumoral microbiome.

A network meta-analysis to evaluate the efficacy of traditional Chinese medicine on intestinal flora in patients with gastrointestinal cancer

Background and Purpose: Traditional Chinese medicine (TCM) can regulate intestinal flora so as to affect the occurrence, progression, and prognosis of gastrointestinal cancer. According to clinical studies, TCM oral administration, TCM external treatment, and TCM injections, can adjust intestinal flora disorders in patients with gastrointestinal cancer. This network meta-analysis aims to evaluate the effect of three treatments on the intestinal flora in gastrointestinal cancer patients.

Methods: This meta-analysis was registered in PROSPERO (CRD42022332553). Six electronic databases, namely CNKI, Wanfang, CSTJ, PubMed, Cochrane Library, and EMBASE, were searched from their inception to 1 April 2022. We identified randomized controlled trials (RCT) used to compare the efficacy of three TCM treatment methods—oral administration, external therapy and injections—on the intestinal flora in gastrointestinal cancer patients. The main outcome indicators were Bifidobacteria, Lactobacilli, Escherichia coli, and Enterococci. Stata (15.1) and the Cochrane risk of bias assessment tool were employed.

Results: We identified 20 eligible RCTs with a total of 1,774 patients. According to network meta-analysis results, TCM injection plus common treatment (CT) or oral administration of TCM plus CT was superior to CT alone for supporting Bifidobacterium. In supporting Lactobacillus, TCM injection plus CT demonstrated more obvious effect relative to oral administration of TCM plus CT; TCM injection plus CT was more effective than CT only; and oral administration of TCM plus CT was superior to CT only.The inhibitory effect of TCM injection plus CT on Escherichia coli was better compared with CT only. In terms of inhibiting Enterococci, oral administration of TCM plus CT was superior to CT only.The difference in efficacy among the above treatments was statistically significant. In the SUCRA probability ranking, TCM injection plus CT had the best ranking curve among the three treatments and was the most effective in supporting Bifidobacteria (Sucra = 90.08%), Lactobacilli (Sucra = 96.4%), and regulating Escherichia coli (Sucra = 86.1%) and Enterococci (Sucra = 87.1%).

Conclusion: TCM injections plus CT is the most effective therapy in balancing the intestinal flora of gastrointestinal cancer patients. However, the current results deserve further validation through high-quality research.

Systematic Review Registration: http://www.prisma-statement.org/, identifier 10.1136/bmj.n71.

Artemin Promotes the Migration and Invasion of Cervical Cancer Cells through AKT/mTORC1 Signaling

Background. The neurotrophic factor Artemin (ARTN) is involved in tumor proliferation and metastasis. Nonetheless, ARTN’s significance in cervical cancer (CC) has not been studied. In our study, we propose to investigate the biological function of ARTN in CC as well as its particular regulatory mechanism. Methods. Immunohistochemistry (IHC) was used to examine the degree of ARTN protein expression in CC patient tissue. Real-time PCR and Western blotting were performed to reveal related genes’ levels in CC cells. The CCK-8 test, the colony formation assay, the wound-healing assay, and the transwell assay were utilized to determine the proliferation, migration, and invasion capabilities, respectively. To generate lung metastasis models, stable ARTN-expressing SiHa cells were injected into the caudal tail vein of mice. IHC was used to examine the protein levels in CC mice model tissues. Results. ARTN was overexpressed in CC tissues relative to normal cervical tissues and linked positively with lymph node metastases ( $P=0.012$ ) and recurrence ( $P=0.015$ ) in CC patients. In vitro, ARTN overexpression promoted the proliferation, invasion, and migration of CC cells. In contrast, the consequences of depleting endogenous ARTN were the opposite. Moreover, overexpression of ARTN increased lung metastasis of CC cells in vivo and shortened the lifespan of mice models. In addition, ARTN overexpression significantly enhanced AKT phosphorylation on Ser473 and mTOR phosphorylation on Ser2448 and promoted the epithelial-mesenchymal transition (EMT) cascade. In addition, rapamycin, a selective inhibitor of mTORC1, might rescue the EMT phenotype caused by ARTN. Conclusion. Our findings suggested that ARTN may enhance CC metastasis through the AKT/mTORC1 pathway. ARTN is anticipated to be a novel potential therapeutic target for the treatment of CC metastases.

A coarse-to-fine and automatic algorithm for breast diagnosis on multi-series MRI images

Introduction

Early breast carcinomas can be effectively diagnosed and controlled. However, it demands extra work and radiologist in China often suffer from overtime working due to too many patients, even experienced ones could make mistakes after overloaded work. To improve the efficiency and reduce the rate of misdiagnosis, automatic breast diagnosis on Magnetic Resonance Imaging (MRI) images is vital yet challenging for breast disease screening and successful treatment planning. There are some obstacles that hinder the development of automatic approaches, such as class-imbalance of samples, hard mimics of lesions, etc. In this paper, we propose a coarse-to-fine algorithm to address those problems of automatic breast diagnosis on multi-series MRI images. The algorithm utilizes deep learning techniques to provide breast segmentation, tumor segmentation and tumor classification functions, thus supporting doctors' decisions in clinical practice.

Methods

In proposed algorithm, a DenseUNet is firstly employed to extract breast-related regions by removing irrelevant parts in the thoracic cavity. Then, by taking advantage of the attention mechanism and the focal loss, a novel network named Attention Dense UNet (ADUNet) is designed for the tumor segmentation. Particularly, the focal loss in ADUNet addresses class-imbalance and model overwhelmed problems. Finally, a customized network is developed for the tumor classification. Besides, while most approaches only consider one or two series, the proposed algorithm takes in account multiple series of MRI images.

Results

Extensive experiments are carried out to evaluate its performance on 435 multi-series MRI volumes from 87 patients collected from Tongji Hospital. In the dataset, all cases are with benign, malignant, or both type of tumors, the category of which covers carcinoma, fibroadenoma, cyst and abscess. The ground truths of tumors are labeled by two radiologists with 3 years of experience on breast MRI reporting by drawing contours of tumor slice by slice. ADUNet is compared with other prevalent deep-learning methods on the tumor segmentation and quantitative results, and achieves the best performance on both Case Dice Score and Global Dice Score by 0.748 and 0.801 respectively. Moreover, the customized classification network outperforms two CNN-M based models and achieves tumor-level and case-level AUC by 0.831 and 0.918 respectively.

Discussion

All data in this paper are collected from the same MRI device, thus it is reasonable to assume that they are from the same domain and independent identically distributed. Whether the proposed algorithm is robust enough in a multi-source case still remains an open question. Each stage of the proposed algorithm is trained separately, which makes each stage more robust and converge faster. Such training strategy considers each stage as a separate task and does not take into account the relationships between tasks.

Identification of a Prognostic Pyroptostic-Related Model for Head and Neck Squamous Cell Carcinoma Based on LASSO-Cox Regression Analysis

Pyroptosis is associated with the biological behavior of the tumor and with tumor immunity. We investigated the effect of pyroptosis on the tumor microenvironment and tumor immunity in head and neck squamous cell carcinoma (HNSCC). RNA sequencing data and clinical information of HNSCC were downloaded from TCGA. Differentially expressed pyroptosis-related genes in HNSCC were identified between HNSCC and normal tissue. Pyroptosis-related classification of HNSCC was conducted based on consensus clustering analysis. LASSO-Cox regression analysis was used to construct a prognostic risk model-based pyroptosis-related gene. Evaluation of the immune microenvironment was conducted in prognostic risk signature based on pyroptosis-related genes. Total 22 differentially expressed pyroptosis-related genes were identified in HNSCC. Six prognostic-related genes were included to construct a LASSO regression model with a prognostic risk score = (0.133 ∗ GSDME (DFNA5) + 0.084 ∗ NOD1 + 0.039 ∗ IL6 + 0.003 ∗ IL1B + 0.084 ∗ CASP3 + 0.028 ∗ NLRP2). Higher fraction of resting memory CD4+ T cells and macrophages M1 was infiltrated in the high-risk group compared with the low-risk group in HNSCC. Furthermore, the PI3K-Akt signaling pathway and the IL-17 signaling pathways were identified to be involved in the development of high-risk HNSCC. Our study constructed a prognostic risk signature based on pyroptosis-related genes, which emphasizes the critical importance of pyroptosis in HNSCC and provided a novel perspective of HNSCC therapy.

Pueraria lobata Potentially Treating Prostate Cancer on Single-Cell Level by Network Pharmacology and AutoDock: Clinical Findings and Drug Targets

Background. Prostate cancer (PCa) is one of the common malignant tumors of the urological system, and metastasis often occurs in advanced stages. Chemotherapy is an effective treatment for advanced PCa but has limitations in terms of efficacy, side effects, multidrug resistance, and high treatment costs. Therefore, new treatment modalities for PCa need to be explored and improved. Methods. R language and GEO database were used to obtain differentially expressed genes for PCa single-cell sequencing. TCMSP, STITCH, SwissTargetPrediction, and PubChem databases were used to obtain the active ingredients and targets of Pueraria lobata (PL). Next, Cytoscape software was used to draw the interactive network diagram of “drug–active component–target pathway.” Based on the STRING database, the protein–protein interaction network was constructed. Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes were applied for the genes. Molecular docking was used to visualize the drug–target interaction via AutoDock Vina and PyMOL. Finally, prognosis-related genes were found by survival analysis, and Protein Atlas was used for validation. Results. Four active components and 31 target genes were obtained through the regulatory network of PL. Functional enrichment analysis showed that PL played a pharmacological role in the treatment of PCa by regulating the metabolic processes of reactive oxygen species, response to steroid hormones, and oxidative stress as well as IL-17 signaling pathway, PCa, and estrogen signaling pathway. Single-cell data showed that AR, MIF, HSP90B1, and MAOA genes were highly expressed, and molecular docking analysis showed that representative components had a strong affinity with receptor proteins. Survival analysis found that APOE, CA2, IGFBP3, MIF, F10, and NR3C1 could predict progression-free survival (PFS), and some of them could be validated in PCa. Conclusion. In this paper, a drug–active ingredient–target pathway network of PL at the single-cell level of PCa was constructed, and the findings revealed that it acted on genes such as AR, MIF, HSP90B1, and MAOA to regulate several biological processes and related signaling pathways to interfere with the occurrence and development of PCa. APOE, CA2, IGFBP3, MIF, F10, and NR3C1 were also important as target genes in predicting PFS.

Practice of breast self-examination and associated factors among female health professionals working in public hospitals of Harari regional state: Eastern Ethiopia multicenter study

Breast cancer is the most frequent malignancy among women in both developed and developing countries. Early detection of breast cancer using breast self-examination plays a substantial role in reducing its morbidity and mortality. Despite improved availability of health information the morbidity and mortality caused by breast cancer among females were increasing from time to time and there is no information regarding the practice of breast self-examination in our study area.

Objective

This study was aimed at assessing breast self-examination practice and associated factors among female health professionals who were working in public hospitals of Harari Regional State in 2022.

Methods

Institutional-based quantitative cross-sectional study design was used to assess the practice of breast self-examination and associated factors among female health professionals who have been working in a public hospital in Harari regional state from March 25 to April 05, 2022. The study subjects were selected using a simple random sampling technique and data were collected by a self-administered and structured questionnaire. The collected data was edited, cleaned, coded, and entered into Epi-Data version 3.1 software and analyzed using the statistical package for social science software version 20. Bivariable and multivariable logistic regression analysis was carried out to see the association between independent and dependent variables. Variable with P-value less than 0.05 at final model were regarded as statistically significant.

Result

Among a total of 362 female health professionals, 171 (47.2%) respondents were ever practiced breast self-examination, 229(63.3%) had good knowledge of breast self-examination and 252(69.6%) had a favorable attitude toward breast self-examination. Work experience of ≥5 year (AOR = 2.51; 95% CI: 1.31–4.82), educational status of degree and above (AOR = 7.2; 95% CI: 3.82–10.58), good knowledge about breast self-examination (AOR = 3.4; 95% CI: 1.41–5.40) and favorable attitude toward breast self-examination (AOR = 3.1; 95% CI: 2.11–4.10) were significantly associated with breast self-examination practice.

Conclusion

The finding of this study implies that the practice of breast self-examination among female health professionals is low. Work experience of ≥5 year, educational status of degree and above, having a good knowledge and favorable attitude toward breast self-examination were significantly associated with breast self-examination.

Brazilian breast cancer patient-reported outcomes: What really matters for these women

Introduction

Patient-Reported Outcomes (PRO) are directly reported by the patient without interpretation of the patient's response by a clinician or anyone else and pertains to the patient's health, quality of life, or functional status associated with health care or treatment. It can provide patients’ perspectives regarding treatment benefit and harm beyond survival and are often the outcomes of most importance to patients. This study aims to describe and analyze outcomes reported by Brazilian women diagnosed with breast cancer and rank the most important attributes for these patients.

Methods

Observational descriptive study composed of exploratory interviews followed by online questionnaires applied to a convenience sample of women diagnosed with breast cancer.

Results

Twelve women were interviewed to explore the main outcomes and preferences about their treatments, such as the most common side effects and the most impacted aspects of life after diagnosis and BC treatment. Psychological, emotional, and sexual impacts were frequently described as impacted aspects. Fifty-three women, from all the five Brazilian regions, answered the online questionnaire. Following an order of importance ranking, the following outcomes were chosen, respectively: overall survival, progression-free survival; and quality of life. The treatment effects that were considered less important, among this sample, were pain and adverse events.

Conclusions

Thinking about expanding the therapeutic quality of users, it is essential to take into account the experiences of patients. PRO is a trend in current research to achieve this goal, in order to influence the decisions of HTA agencies about the importance of valuing outcomes that affect patients' lives.

Identification and Validation of UPF1 as a Novel Prognostic Biomarker in Renal Clear Cell Carcinoma

Background: Up frameshift protein 1 (UPF1) is a key component of nonsense-mediated mRNA decay (NMD) of mRNA containing premature termination codons (PTCs). The dysregulation of UPF1 has been reported in various cancers. However, the expression profile of UPF1 and its clinical significance in clear cell renal cell carcinoma (ccRCC) remains unclear. Methods: In order to detect UPF1 expression in ccRCC and its relationship with the clinical features of ccRCC, bulk RNA sequencing data were analyzed from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and ArrayExpress databases. The impact of UPF1 on the immune microenvironment of ccRCC was evaluated by multiple immune scoring algorithms to identify the cell groups that typically express UPF1 using ccRCC single cell sequencing (scRNA) data. In addition, genes co-expressed with UPF1 were identified by the weighted gene correlation network analysis (WGCNA), followed by KEGG and Reactome enrichment analysis. A series of functional experiments were performed to assess the roles of UPF1 in renal cancer cells. Finally, pan-cancer analysis of UPF1 was also performed. Results: Compared with normal tissues, the expression levels of UPF1 mRNA and protein in tumor tissues of ccRCC patients decreased significantly. In addition, patients with low expression of UPF1 had a worse prognosis. Analysis of the immune microenvironment indicated that UPF1 immune cell infiltration was closely related and the ccRCC scRNA-seq data identified that UPF1 was mainly expressed in macrophages. WGCNA analysis suggested that the functions of co-expressed genes are mainly enriched in cell proliferation and cellular processes. Experimental tests showed that knockdown of UPF1 can promote the invasion, migration and proliferation of ccRCC cells. Lastly, pan-cancer analysis revealed that UPF1 disorders were closely associated with various cancer outcomes. Conclusions: UPF1 may play a tumor suppressive role in ccRCC and modulate the immune microenvironment. The loss of UPF1 can predict the prognosis of ccRCC, making it a promising biomarker and providing a new reference for prevention and treatment.

Research trends on anti-PD-1/PD-L1 immunotherapy for esophageal cancer: A bibliometric analysis

Objectives

The study aims to summarize publication characteristics of anti-programmed cell death protein 1 (PD-1)/programmed cell death 1 ligand 1 (PD-L1) immunotherapy for esophageal cancer and create scientific maps to explore hotspots and emerging trends with bibliometric methods.

Methods

The publications between 2012 and 2021 were retrieved from the Web of Science Core Collection (WoSCC) on June 20, 2022. Bibliometric tools including HistCite, VOSviewer, and CiteSpace were used for statistical analysis. Data on the trend of the annual output, countries/regions, institutions, journals, authors, subject categories, keywords, and co-cited references were presented in this study.

Results

A total of 552 publications written by 3,623 authors of 872 institutions, 44 countries/regions in 250 journals were included in the bibliometric study. China, USA and Japan were the key countries in this field. Kato Ken, Bang Yung-Jue, Frontiers in Oncology, Journal of Clinical Oncology and Natl Canc Ctr were the top 1 productive author, co-cited author, productive journal, co-cited journal and prolific institution, respectively. The top 4 most present keywords were esophageal cancer, immunotherapy, esophageal squamous cell carcinoma and PD-L1. Neoadjuvant chemotherapy, response, PD-1 blockade and CD8+ T cell were four latest research frontiers. The keywords reflected the progress from PD-1/PD-L1 expression to the clinical application of PD-1/PD-L1 inhibitors. The current researches mainly focus on neoadjuvant immunotherapy for esophageal cancer and development of biomarkers. Further research is warranted to determine effective predictive biomarkers or models, illustrate the molecular mechanism of combined treatment, and construct the optimal therapeutic strategy.

Conclusions

This study visually analyzed the global trend and hotspots of anti-PD-1/PD-L1 immunotherapy for esophageal cancer over the past decade. The results could guide scientists to comprehensively understand the global frontiers and determine future directions.