Survival Rate Of Cancer Patients Research Articles

The state of cancer care in Russia: breast cancer. Epidemiology and survival of patients. The impact of the SARS-CoV-2-beta-coronavirus epidemic (clinical and population study)

Background. Breast cancer is the main cause of morbidity and mortality of the female population among economically developed countries, including in Russia. Despite the continued increase in morbidity, mortality is decreasing, which is confirmed by a decrease in the index of accuracy (the ratio of the number of deaths to the sick). Calculations of survival at the population level (the most important criterion for evaluating the activities of the oncological service) in Russia are carried out only on the basis of databases of the population cancer registry of the North-Western Federal District. The accumulated 1.5 million primary cases of malignant tumors allowed for the in-depth development of data on rare tumor localities, including breast cancer among the male population.Aim. To study the impact of the coronavirus pandemic on the dynamics of the process of detection, mortality and survival of breast cancer patients in Russia and in the North-Western Federal District of the Russian Federation.Materials and methods. The material of the study is the reference books of the P. Hertzen Moscow Oncology Research Institute – branch of the National Medical Research Radiology Center, Ministry of Health of Russia, and the N.N. Petrov National Medical Research Oncology Center, Ministry of Health of Russia, and the database of the population cancer registry of the North-Western Federal District, clinical materials of the surgical department of breast tumors of theN.N. Petrov National Medical Research Oncology Center. More than 110 thousand primary cases of breast cancer were selected. Data processing was carried out by standard methods of oncology statistics recommended by the International Association of Cancer Registries (Eurocare program).Results. A significant impact of the coronavirus pandemic on the primary registration of breast cancer in Russia from 2019 to 2020 has been established, with some weakening of its impact in the subsequent period. The pandemic has had a significant impact on the quality of primary registration of patients. The value of the index of accuracy has been set back five years, but there is a sign of its improvement in 2021. The positive dynamics of one-year and five-year survival of patients with breast cancer is shown. The quality of registration of patients with breast cancer by detailed localization and histological structures of breast cancer was investigated. A significant decrease in the mortality of patients was noted when studying the patterns of dynamics in annual mortality over three follow-up periods.Conclusion. A steady increase in the incidence of breast cancer among women has been established, and the negative impact of the coronavirus pandemic has been noted. The mortality rate of the Russian population from breast cancer continues to decrease. The localization and histological structure of the incidence of breast cancer in women remains unchanged. The one-year and five-year survival rate of breast cancer patients continues to grow.

Current status of fertility preservation in a Spanish tertiary public hospital: multidisciplinary approach and experience in over 1500 patients.

Currently, 15% of gynaecological and 9% of haematological malignancies are diagnosed before the age of 40. The increased survival rates of cancer patients who are candidates for gonadotoxic treatments, the delay in childbearing to older ages, and the optimization of in vitro fertilisation techniques have all contributed to an increased interest in fertility preservation (FP) treatments. This study reviews the experience of the Fertility Preservation Programme (FPP) of a tertiary public hospital with a multidisciplinary approach. This retrospective study included all the available (FP) treatments, performed in patients of childbearing age between 2006 and 2022. 1556 patients were referred to the FPP: 332 oocyte vitrification cycles, 115 ovarian cortex cryopreservation with 11 orthotopic autotransplantations, 175 gonadotropin-releasing hormone (GnRH) agonist treatments, 109 fertility-sparing treatments for gynaecological cancer, and 576 sperm cryopreservation were performed. Malignancy was the main indication for FP (the main indications being breast cancer in women and haematological malignancies in men), although non-oncological pathologies, such as endometriosis and autoimmune diseases, have increased in recent years. Currently, the most widely used FP technique is oocyte vitrification, the increase of which has been associated with a decrease in the use of cortex CP and GnRH agonists. The increase in FP treatment reflects the implementation of reproductive counselling in oncology programmes. A multidisciplinary approach in a tertiary public hospital allows individualised FP treatment for each patient. In recent years, there has been a change in trend with the introduction of new indications for FP and a change in techniques due to their optimisation.

High expression of RAB7A is associated with poor prognosis of gastric cancer by promoting tumor invasion

To explore the expression level of Ras-related protein 7A (RAB7A) in gastric cancer and its prognostic implications. Based on data from public databases and a cohort of 104 patients undergoing radical gastrectomy for gastric cancer in our hospital, we analyzed RAB7A expression level in gastric cancer and adjacent tissues and its association with clinicopathological parameters and prognosis of the patients. Bioinformatic analysis was performed to predict the pathways of RAB7A to affect gastric cancer invasion. In gastric cancer MGC803 cells with lentivirus-mediated interference or overexpression of RAB7A, the changes in extracellular matrix (ECM) degradation and cell migration and invasion were analyzed using immunoblotting, wound healing assay and Transwell experiments. The data from public cancer databases and clinical samples showed a significantly higher expression of RAB7A in gastric cancer tissues than in normal or adjacent tissues (P<0.01) with a close correlation with a poorer patient survival (P<0.01) and a positive correlation with serum carcinoembryonic antigen and carbohydrate antigen 19-9 levels (P<0.001). Univariate and multivariate Cox regression analyses suggested that a high RAB7A expression was an independent risk factor affecting the 5-year survival rate of gastric cancer patients (HR: 2.882; 95% CI: 1.459-5.693). ROC curve analysis showed that at the cut-off value of 2.625, RAB7A expression level had a sensitivity of 84.62% and a specificity of 71.15% for predicting postoperative 5-year mortality of the patients. Bioinformatic analysis suggested that RAB7A was involved in ECM degradation and activation of PI3K/AKT signaling in gastric cancer. MGC803 cells with RAB7A overexpression showed activation of the PI3K/AKT signaling pathway (P<0.01) with enhanced expressions of MMP-2 and MMP-9 (P<0.01) and cell migration and invasion capacities (P<0.01). RAB7A is highly expressed in gastric cancer tissues and affects the patients' prognosis possibly by activating the PI3K/AKT signaling pathway and enhancing ECM degradation to promote tumor invasion.

Prevalence and Epidemiological Profile of Cervical Cancer Patients Attending Nyeri County and Referral Hospital, Kenya: a Review of Records

Objective: This study aimed to establish the prevalence and epidemiological characterization of cervical cancer patients registered in Nyeri County and Referral Hospital, Kenya. Methods and analysis: This was a retrospective observational design that involved the systematic collection and analysis of data from 2328 patient records. Relevant variables, including demographic characteristics, clinical features, treatment modalities and survival outcomes, were extracted and analyzed. Descriptive statistics were used to determine the prevalence of cervical cancer, while Chi-square test was performed to assess the association between various factors and survival outcomes. Multivariate analysis was conducted to control for confounding variables and determine the independent effects of predictors. Ethical clearance was obtained and ethical principles maintained. Results: Records of 2328 cancer patients were analyzed, out of which 120 were cervical cancer. Majority of cervical cancer patients were aged 50-59 years with majority residing in Nyeri County. The prevalence of cervical cancer was 5.16%. The overall survival rate for cervical cancer patients was 58.33%. Advanced age and late-stage diagnosis were factors associated with lower survival rates. Conclusion: The study revealed a prevalence of 5.16% of cervical cancer among patients attending Nyeri County and Referral Hospital in Kenya from the year 2017 to 2022 with an overall survival rate of 58.33%. Age and latestage diagnosis were found to be influential factors in survival outcomes. Therefore, improving early detection and initiation of early treatment for all cervical cancer patients is required in order to improve survival status.

Real world data of recurrent and survival rates of penile cancer patients in Songklanagarind hospital: Tumor stage as a predictor for disease-free survival.

This study investigated disease-free survival and oncological outcomes in penile cancer patients treated surgically at a high-volume center and identified the prognostic factors for disease-free survival. A retrospective analysis was conducted on primary penile cancer patients diagnosed and treated at Songklanagarind Hospital, Thailand, between January 2001 and December 2021. Disease-free survival (DFS) was assessed using Kaplan-Meier survival curves, and Cox proportional hazard models were used for multivariate analysis. The study included 188 patients with primary penile cancer. The majority (98.4%) were uncircumcised. Tumor staging revealed 40.6% with T1 tumors, 72.9% with well-differentiated tumors, and 23.5% diagnosed at stage IIIA. The recurrence rate was 19.1%, with a mean time to recurrence of 25.9 months. Disease-free survival rates at 1, 3, and 5 years were 81.1%, 70.9%, and 70.9%, respectively. Median overall survival was 16.43 months, with survival rates at 1, 3, and 5 years at 67.7%, 42.7%, and 35.4%, respectively. Cox proportional hazard models showed significant associations between disease-free survival and a higher T stage, a high level of CRP (>15 mg/L), delayed onset of symptoms, primary lesion location, groin node metastasis, lymphovascular invasion, and pelvic lymph node metastases. However, multivariate analysis revealed that a higher primary tumor stage (T) was the only independent prognostic factor for disease-free survival. This study presents one of the largest cohorts investigating disease-free survival outcomes in penile cancer treatment at a single institution over a prolonged period. A higher pathologic T stage is a significant prognostic factor for disease-free survival. Further large-scale prospective studies are needed for validation.

Factors Affecting Survival of Patients with Cervical Cancer.

Cervical cancer is the fourth leading cause of cancer-related death among women worldwide. We aimed to identify the factors affecting the survival rate of cervical cancer patients, as these factors are vital for preventing the progression and effective treatment of cancer. In this retrospective cohort study, 254 patients with cervical cancer who were registered in The Kerman Population-Based Cancer Registry (KPBCR) between 2012 and 2022 and whose status was known to be alive or dead were enrolled. Since the proportional hazard assumption was not established for the type of treatment, the extended Cox model was used to determine the variables influencing the survival of the patients. The mean survival time of the patients was 91.28 ± 3.02 months. The results of fitting the extended Cox model showed that the risk of death increases by 1.02 per year of age at diagnosis (HR=1.02; 95% CI: 1.00, 1.04). Moreover, for a one-unit increase in body mass index (BMI), the risk of death increased by 0.93 (HR=0.93; 95% CI: 0.88, 0.98). The risk of death in patients with disease stages III&IV was 3.08 times that of patients with disease stages I&II (HR=3.08; 95% CI: 1.05, 9.03). The risk of death in patients receiving at least one of the radiotherapy and chemotherapy treatments after 18 months was 7.11 times that of patients undergoing surgery (HR=7.11; 95% CI: 1.69, 29.91). The age of diagnosis, BMI, disease stage, and type of treatment significantly affect the survival of patients. Thus, raising women's awareness of periodical examinations and early diagnosis can reduce the risk of death and prevent cervical cancer progression.

Prostate cancer epidemiology and prognostic factors in the United States.

Using the latest cohort study of prostate cancer patients, explore the epidemiological trend and prognostic factors, and develop a new nomogram to predict the specific survival rate of prostate cancer patients. Patients with prostate cancer diagnosed from January 1, 1975 to December 31, 2019 in the Surveillance, Epidemiology, and End Results Program (SEER) database were extracted by SEER stat software for epidemiological trend analysis. General clinical information and follow-up data were also collected from 105 135 patients with pathologically diagnosed prostate cancer from January 1, 2010 to December 1, 2019. The factors affecting patient-specific survival were analyzed by Cox regression, and the factors with the greatest influence on specific survival were selected by stepwise regression method, and nomogram was constructed. The model was evaluated by calibration plots, ROC curves, Decision Curve Analysis and C-index. There was no significant change in the age-adjusted incidence of prostate cancer from 1975 to 2019, with an average annual percentage change (AAPC) of 0.45 (95% CI:-0.87~1.80). Among the tumor grade, the most significant increase in the incidence of G2 prostate cancer was observed, with an AAPC of 2.99 (95% CI:1.47~4.54); the most significant decrease in the incidence of G4 prostate cancer was observed, with an AAPC of -10.39 (95% CI:-13.86~-6.77). Among the different tumor stages, the most significant reduction in the incidence of localized prostate cancer was observed with an AAPC of -1.83 (95% CI:-2.76~-0.90). Among different races, the incidence of prostate cancer was significantly reduced in American Indian or Alaska Native and Asian or Pacific Islander, with an AAPC of -3.40 (95% CI:-3.97~-2.82) and -2.74 (95% CI:-4.14~-1.32), respectively. Among the different age groups, the incidence rate was significantly increased in 15-54 and 55-64 age groups with AAPC of 4.03 (95% CI:2.73~5.34) and 2.50 (95% CI:0.96~4.05), respectively, and significantly decreased in ≥85 age group with AAPC of -2.50 (95% CI:-3.43~-1.57). In addition, age, tumor stage, race, PSA and gleason score were found to be independent risk factors affecting prostate cancer patient-specific survival. Age, tumor stage, PSA and gleason score were most strongly associated with prostate cancer patient-specific survival by stepwise regression screening, and nomogram prediction model was constructed using these factors. The Concordance indexes are 0.845 (95% CI:0.818~0.872) and 0.835 (95% CI:0.798~0.872) for the training and validation sets, respectively, and the area under the ROC curves (AUC) at 3, 6, and 9 years was 0.7 or more for both the training and validation set samples. The calibration plots indicated a good agreement between the predicted and actual values of the model. Although there was no significant change in the overall incidence of prostate cancer in this study, significant changes occurred in the incidence of prostate cancer with different characteristics. In addition, the nomogram prediction model of prostate cancer-specific survival rate constructed based on four factors has a high reference value, which helps physicians to correctly assess the patient-specific survival rate and provides a reference basis for patient diagnosis and prognosis evaluation.

TGF-β promotes proliferation and inhibits apoptosis of liver cancer Huh-7 cells by regulating MiR-182/CADM1

Purpose: To investigate the mechanism of liver cancer cell tolerance to the antiproliferative effect of transforming growth factor beta (TGF-β) based on miRNA levels.Methods: MiRNA microarray and quantitative reverse transcription-polymerase chain reaction (qRTPCR) were used to identify differentially expressed miRNAs in liver cancer Huh-7 cells treated with TGF-β. The effect of these miRNAs on patient survival was analyzed using Kaplan-Meier Plotter. Involvement of Smad2/Smad3 in TGF-β-induced miR-182 expression was determined using shRNA knockdown and qRT-PCR. Dose-dependent effect of TGF-β on miR-182 expression was investigated in Huh-7 cells and mouse primary liver cells using qRT-PCR. The effect of miR-182 on Huh-7 cell proliferation and apoptosis was studied using CFSE and Annexin V/PI assay. Direct targets of miR-182 in Huh-7 cells were identified using a luciferase reporter gene assay, while the influence of Recombinant Cell Adhesion Molecule 1 (CADM1) overexpression on Huh-7 cell proliferation and apoptosis treated with miR-182 was examined using lentivirus experiments, and CFSE and Annexin V/PI assays.Results: The expression levels of hsa-miR-181a, hsa-miR-182, hsa-miR-483, and hsa-miR-143 were significantly higher in serum samples from liver cancer patients (p &lt; 0.05). Survival analysis showed that low expression of hsa-miR-182 and high expression of hsa-miR-483 increased the survival rate of liver cancer patients. Furthermore, TGF-β increased miR-182 expression in Huh-7 cells, but not in mouse primary liver cancer cells. The MiR-182 promoted Huh-7 cell proliferation and inhibited apoptosis. It targeted CADM1 mRNA 3'-UTR, decreasing CADM1 expression. Overexpression of MiR-182 significantly reduced cell proliferation and increased apoptosis in Huh-7 cells with CADM1 overexpression (p &lt; 0.05).Conclusion: Transforming growth factor beta (TGF-β) facilitates the proliferation and repression of apoptosis of Huh-7 cells by increasing miR-182 expression and inhibiting CADMI expression.

Tumor characteristics and survival rate of HER2-low breast cancer patients: a retrospective cohort study

HER2 is an important prognostic marker in breast cancer (BC) patients, which also plays a crucial role in their therapeutic plan. Consequently, a great desire is to thoroughly assess the patients based on their HER2 status. In the current study, we aimed to evaluate HER2-low breast cancer as a new subtype in the standard classification of BC patients and review its characteristics and survival rate in a tertiary center in Iran. We retrospectively evaluated disease-free survival (DFS), overall survival (OS), and clinicopathological characteristics of BC patients referred to the Cancer Research Center in Tehran, Iran from 1991 to 2022. Patients’ clinical characteristics, including HER2 status, which is classified as HER2-low, HER2-positive, or HER2-negative, were obtained from prospectively maintained registries. Among the total 3582 recruited patients, 60.2%, 13.6%, and 26.2% were HER2-negative, HER2-low, and HER2-positive, respectively. HER2-positive patients showed a significantly higher Hazard Ratio (HR) for DFS (HR 1.44, 95% CI 1.01–2.05) and OS (HR 2.05, 95% CI 1.31–3.20), compared to HER2-low. Moreover, HER2-low and HER2-negative were found to show the same proportion of high-grade tumors (28 and 28.4%), while 40% of the HER2-positive tumors were high-grade. Accordingly, HER2-low patients had a lower metastasis risk than the others (P-value = 0.01). The Ki67 percentage was significantly lower in the HER2-low group compared to the HER2-positive (P-value < 0.001). HER2-low, a new subtype of HER2-status classification with distinct biological and clinicopathological traits, represented the highest survival rate and less invasive characteristics. This difference was statistically significant when compared to HER2-positive, but not when compared to HER2-negative.Research registration unique identifying number: NCT05754047.

A macrophage related signature for predicting prognosis and drug sensitivity in ovarian cancer based on integrative machine learning

BackgroundOvarian cancer ranks the leading cause of gynecologic cancer-related death in the United States and the fifth most common cause of cancer-related mortality among American women. Increasing evidences have highlighted the vital role of macrophages M2/M1 proportion in tumor progression, prognosis and immunotherapy.MethodsWeighted gene co-expression network analysis (WGCNA) was performed to identify macrophages related markers. Integrative procedure including 10 machine learning algorithms were performed to develop a prognostic macrophage related signature (MRS) with TCGA, GSE14764, GSE140082 datasets. The role of MRS in tumor microenvironment (TME) and therapy response was evaluated with the data of CIBERSORT, MCPcounter, QUANTISEQ, XCELL, CIBERSORT-ABS, TIMER and EPIC, GSE91061 and IMvigor210 dataset.ResultsThe optimal MRS developed by the combination of CoxBoost and StepCox[forward] algorithm served as an independent risk factor in ovarian cancer. Compared with stage, grade and other established prognostic signatures, the current MRS had a better performance in predicting the overall survival rate of ovarian cancer patients. Low risk score indicated a higher TME score, higher level of immune cells, higher immunophenoscore, higher tumor mutational burden, lower TIDE score and lower IC50 value in ovarian cancer. The survival prediction nomogram had a good potential for clinical application in predicting the 1-, 3-, and 5-year overall survival rate of ovarian cancer patients.ConclusionAll in all, the current study constructed a powerful prognostic MRS for ovarian cancer patients using 10 machine learning algorithms. This MRS could predict the prognosis and drug sensitivity in ovarian cancer.

Classification techniques using gray level co-occurrence matrix features for the detection of lung cancer using computed tomography imaging

&lt;span lang="EN-US"&gt;Lung cancer, which causes the majority of fatalities worldwide each year, is one of the deadliest diseases. The survival rate of cancer patients could be improved with better cancer detection methods. Image processing and machine learning have both been used to aid in lung cancer detection, but a method that both increase accuracy and increases a patient’s survival rate has yet to be identified. In an effort to find the most effective method for the accurate lung cancer recognition, this paper analyses and compares several classification algorithms. Lung computed tomography (CT) images are enhanced by removing noise using a median filter. For filtered image, threshold segmentation is used to segment it into distinct parts. From the segmented image different features are extracted using the grey level co-occurrence matrix (GLCM). several classification strategies, including support vector machine (SVM), random forest (RF), k-nearest neighbor (KNN), and decision tree (DT) methods, are used to classify lung images as malignant or normal based on the extracted features. Methods are evaluated based on a number of various performance measures, like accuracy, a precision, the recall, and the F1-Score. Based on the experimental outcomes, SVM outperforms other classification methods in accurately detecting lung cancer with an accuracy of 99.32%.&lt;/span&gt;

Long-term survival rates of cancer patients achieved by deuterium depletion as an adjuvant treatment in spinal astrocytic glioma, carcinoma mammae and melanoma malignum

Long-term survival rates of cancer patients achieved by deuterium depletion as an adjuvant treatment in spinal astrocytic glioma, carcinoma mammae and melanoma malignum

Multidimensional quantitative phenotypic and molecular analysis reveals neomorphic behaviors of p53 missense mutants

Mutations in the TP53 tumor suppressor gene occur in >80% of the triple-negative or basal-like breast cancer. To test whether neomorphic functions of specific TP53 missense mutations contribute to phenotypic heterogeneity, we characterized phenotypes of non-transformed MCF10A-derived cell lines expressing the ten most common missense mutant p53 proteins and observed a wide spectrum of phenotypic changes in cell survival, resistance to apoptosis and anoikis, cell migration, invasion and 3D mammosphere architecture. The p53 mutants R248W, R273C, R248Q, and Y220C are the most aggressive while G245S and Y234C are the least, which correlates with survival rates of basal-like breast cancer patients. Interestingly, a crucial amino acid difference at one position—R273C vs. R273H—has drastic changes on cellular phenotype. RNA-Seq and ChIP-Seq analyses show distinct DNA binding properties of different p53 mutants, yielding heterogeneous transcriptomics profiles, and MD simulation provided structural basis of differential DNA binding of different p53 mutants. Integrative statistical and machine-learning-based pathway analysis on gene expression profiles with phenotype vectors across the mutant cell lines identifies quantitative association of multiple pathways including the Hippo/YAP/TAZ pathway with phenotypic aggressiveness. Further, comparative analyses of large transcriptomics datasets on breast cancer cell lines and tumors suggest that dysregulation of the Hippo/YAP/TAZ pathway plays a key role in driving the cellular phenotypes towards basal-like in the presence of more aggressive p53 mutants. Overall, our study describes distinct gain-of-function impacts on protein functions, transcriptional profiles, and cellular behaviors of different p53 missense mutants, which contribute to clinical phenotypic heterogeneity of triple-negative breast tumors.

Study on Dosimetric Benefits of Adaptive Brachytherapy in the Treatment of Postoperative Cervical Cancer Patients

Image-guided adaptive brachytherapy (IGABT) has been proven to improve the local control and survival rate of cervical cancer patients, while reducing the side effects. However, IGABT is time-consuming and difficult to achieve in countries or hospitals with intense medical resources. Compared with radical cervical cancer patients, the anatomical change of postoperative patients during brachytherapy is small. We hypothesis that the dosimetric benefits of adaptive brachytherapy in the treatment of postoperative cervical cancer patients is limited. This study investigates whether there is a balance between the treatment quality and treatment efficiency in postoperative cervical cancer patients without using IGABT. We retrospectively studied 30 postoperative cervical cancer patients who underwent brachytherapy. Each patient had a primary CT (PCT) and an adaptive CT (ACT). The plan developed on the PCT (PCT plan) was introduced into ACT for dose calculation (P-ACT plan) to evaluate the dosimetric effect of anatomy change. The dose difference between P-ACT plan and ACT plan and was compared. The mean value of HRCTV D100% and V150% in P-ACT plan are 4.95% and 0.75% lower than those of ACT plan, the difference is not statistically significant (P>0.05). The D0.1cm³ of bladder, rectum and sigmoid in P-ACT plan are higher 2.13%, 3.17%, and 0.71% than ACT plan, respectively, but the increment is insignificant (P>0.05). The D2cm³ of bladder and rectum is slightly lower in ACT plan, while the D2cm³ of sigmoid is slightly lower in P-ACT plan. The dosimetric benefits of IGABT is not remarkable for postoperative cervical cancer patients. The preliminary results of this study show that IGBAT is optional for postoperative patients with cervical cancer in countries or hospitals with tight medical resources. It is necessary to conduct a larger sample and more detailed research further.

High expression of MRPL13 promotes cell cycle progression and proliferation of gastric cancer cells by inhibiting p53 signaling to affect long-term prognosis

To determine the expression of mitochondrial ribosomal protein L13 (MRPL13) in gastric cancer and its impact on long-term prognosis and explore the possible mechanism. We analyzed MRPL13 expression level in gastric cancer and its association with the patients' prognosis based on the public cancer database the data of 100 gastric cancer patients undergoing radical gastrectomy in our hospital from January, 2014 to October, 2017. We further assessed the effects of MRPL13 overexpression and knockdown on proliferation and cell cycle of gastric cancer MGC-803 and SGC-7901 cells in vitro and on subcutaneous xenograft growth in nude mice. Both bioinformatic analysis and the patients' data demonstrated that the expression level of MRPL13 was significantly higher in gastric cancer than in adjacent tissues (P<0.05) and positively correlated with peripheral blood Ki67, CEA and CA19-9 levels (P<0.05). High expression of MRPL13 was an independent risk factor affecting the 5-year survival rate of gastric cancer patients (HR: 3.284; 95% CI: 1.537-7.016). Gene set enrichment analysis suggested that MRPL13 was involved in cell cycle and p53 signaling. In cultured gastric cancer cells, MRPL13 overexpression significantly promoted cell proliferation, G1/S phase transition and the expressions of cyclin D1 and CDK6 (P<0.05), and MRPL13 knockdown produced the opposite effects (P<0.05). MRPL13 overexpression significantly promoted gastric cancer cell xenograft growth (P<0.05), and MRPL13 knockdown obviously inhibited tumor growth in nude mice (P<0.05). In both cultured gastric cancer cells and the xenografts in nude mice, MRPL13 overexpression significantly decreased while MRPL13 knockdown enhanced the expressions of p53 and p21 (P<0.05). MRPL13 is highly expressed in gastric cancer and affects the long- term prognosis of the patients possibly by inhibiting p53 signaling to promote cancer cell proliferation and cell cycle progression.

High expression of CAMSAP2 promotes invasion and metastasis of gastric cancer cells by upregulating TGF-β signaling

To investigate the expression of calmodulin-regulated spectrin-associated protein 2 (CAMSAP2) in gastric cancer and its effect on gastric cancer cell invasion and metastasis. The association of CAMSAP2 expression levels with progression and prognosis of gastric cancer was analyzed using public cancer data and in 106 patients receiving radical gastrectomy in our hospital from October, 2013 to October, 2017. The biological functions of CAMSAP2 were predicted using bioinformatics analysis. Gastric cancer MGC803 cells with CAMSAP2 overexpression and knockdown were observed for epithelial-mesenchymal transition (EMT), migration and invasion. A nude mouse model bearing orthotopic gastric cancer cell xenografts was established for verifying the results and exploring the underlying molecular mechanism. Gastric cancer tissues expressed high levels of CAMSAP2, which were positively correlated with CEA and CA19-9 (P<0.001). Cox regression analysis showed that CAMSAP2 expression level was an independent risk factor affecting the 5-year survival rate of gastric cancer patients (HR=2.969, 95% CI: 1.031-8.548). Enrichment analysis suggested that CAMSAP2 was involved in epithelialmesenchymal transition (EMT) and TGF-β signaling. In gastric cancer cells, CAMSAP2 overexpression significantly increased the expressions of vimentin and N-cadherin, inhibited the expression of E-cadherin, and enhanced cell migration and invasion (P<0.05); CAMSAP2 knockdown produced the opposite effects in the cells (P<0.05). In the tumor- bearing mice, xenografts overexpressing CAMSAP2 showed enhanced metastasis (P<0.05), increased vimentin and N-cadherin expressions and lowered E-cadherin expression (P<0.05), and the xenografts with CAMSAP2 knockdown showed the opposite changes (P<0.05). Both the in vivo and in vitro experiments showed that CAMSAP2 overexpression increased and CAMSAP2 knockdown lowered the levels of TGF-β and p-Smad2/3 in the gastric cancer cells (P<0.05). The high expression of CAMSAP2 contributes to disease progression and poor prognosis of gastric cancer possibly by upregulating TGF-β signaling to promote EMT.

Predictive factors and prognosis of upper gastrointestinal bleeding in gastric cancer: A large population-based study (UGIB-GC trial).

Gastric cancer remains the fourth leading cause of cancer-related death worldwide. Significant number of gastric cancer patients presented with bleeding. This study aimed to identify risk factors and overall survival rates of bleeding gastric cancer patients. This retrospective cohort study was conducted between 2007-2022 at tertiary care center in Thailand. Clinical information, endoscopic findings and histological type were extensively reviewed and were compared between bleeders and non-bleeders. Patients were monitored for at least 5 years. There were 20,981 patients who underwent upper gastrointestinal endoscopy during study period. Total of 201 gastric cancer patients were included in this study, 21 were excluded due to incomplete medical records. 180 gastric cancer patients were included with mean age of 60.5±14.3 years. There were 65 (36.1%) patients with gastrointestinal bleeding. Hypertension and chronic kidney disease were significantly more common in bleeders than non-bleeders (43.1% vs 23.5%, OR2.51, 95%CI 1.14.-5.52, p = 0.022; and 16.9% vs 5.2%, OR2.00, 95%CI 1.56-6.63, p = 0.025, respectively). current H. pylori infection was also significantly more common in bleeders than non-bleeders (84.6% vs. 55.7%, OR 4.39, 95%CI 1.90-10.12, p<0.001). Median overall survival of bleeders was significantly lower than non-bleeders (7±0.93 vs 10±2.10 months, p = 0.001). Bleeding gastric cancer was not an uncommon condition. Majority of patients presented at advanced stage with grave prognosis. Male gender, hypertension, chronic kidney disease, and current H. pylori infection were reliable predictors for bleeding. Early diagnosis and prompt treatment are the key to improve clinical outcome.

An Update on Potential Molecular Biomarkers of Dietary Phytochemicals Targeting Lung Cancer Interception and Prevention.

Since ancient times, dietary phytochemicals are known for their medicinal properties. They are broadly classified into polyphenols, terpenoids, alkaloids, phytosterols, and organosulfur compounds. Currently, there is considerable interest in their potential health effects against various diseases, including lung cancer. Lung cancer is the leading cause of cancer deaths with an average of five-year survival rate of lung cancer patients limited to just 14%. Identifying potential early molecular biomarkers of pre-malignant lung cancer cells may provide a strong basis to develop early cancer detection and interception methods. In this review, we will discuss molecular changes, including genetic alterations, inflammation, signal transduction pathways, redox imbalance, epigenetic and proteomic signatures associated with initiation and progression of lung carcinoma. We will also highlight molecular targets of phytochemicals during lung cancer development. These targets mainly consist of cellular signaling pathways, epigenetic regulators and metabolic reprogramming. With growing interest in natural products research, translation of these compounds into new cancer prevention approaches to medical care will be urgently needed. In this context, we will also discuss the overall pharmacokinetic challenges of phytochemicals in translating to humans. Lastly, we will discuss clinical trials of phytochemicals in lung cancer patients.

Подовження інтервалу QT як значуще кардіоваскулярне ускладнення під час системного лікування хворих на рак

Стрімке впровадження нових протипухлинних засобів та технологій лікування сприяло підвищенню виживання хворих на рак. Однак, розвиток серцево-судинних ускладнень на тлі протипухлинного лікування нерідко призводить до зниження якості та тривалості життя онкологічних хворих.Одним з проявів серцево-судинних ускладнень при застосуванні протипухлинних лікарських засобів є подовження інтервалу QT з різними порушеннями серцевого ритму.Стаття базується на аналізі рандомізованих клінічних досліджень і метааналізів та рекомендаціях Європейського товариства кардіологів з кардіо-онкології. Наведено опис факторів ризику і класифікація подовження інтервалу QT, спричиненого протипухлинною терапією. Проаналізовані основні групи протипухлинних лікарських засобів, які індукують зміни інтервалу QT. Розглянуті етапи і кратність огляду онкологічних хворих при різних патологічних станах та порушеннях гемостазу, що можуть призводити до подовження інтервалу QT під час лікування та в різні періоди після його проведення.Огляд присвячений аналізу змін інтервалу QT та клінічному застосуванню алгоритмів прийняття рішень щодо мінімізації кардіотоксичності з метою підвищення ефективності протипухлинного лікування онкологічних хворих.

CNIH4 governs cervical cancer progression through reducing ferroptosis

Cervical cancer is one of the most leading causes of cancer death worldwide, and ferroptosis is implicated in the progression of cervical cancer. Cornichon family AMPA receptor auxiliary protein 4 (CNIH4) is involved in the progression of various human cancers; however, its function in cervical cancer remains unclear. The present study aims to investigate the role and mechanism of CNIH4 in cervical cancer using gain- and loss-of-function studies in vitro. SiHa and CaSki cells were infected with lentiviral vectors to manipulate the expression of CNIH4 in vitro, and cell viability, migration, invasion as well as ferroptosis were evaluated. Transcriptome sequencing analysis was performed to further validate the mechanism through which CNIH4 regulated the progression of cervical cancer. The expression of CNIH4 was upregulated in human cervical cancer tissues and cells, and strongly correlated with the decreases in overall survival and disease free survival rates of cervical cancer patients. CNIH4 silence inhibited, while CNIH4 overexpression facilitated the survival of human cervical cancer cells. Mechanistically, CNIH4 elevated solute carrier family 7 member 11 (SLC7A11)-mediated cystine import, and subsequently increased intracellular glutathione synthesis and glutathione peroxidase 4 activity, thereby inhibiting ferroptosis of human cervical cancer cells. SLC7A11 silence significantly abolished CNIH4-mediated inhibition of ferroptosis in cervical cancer cells in vitro. Our study for the first time reveals that CNIH4 inhibits ferroptosis of human cervical cancer cells through upregulating SLC7A11, defining CNIH4 as an attractive therapeutic and prognostic target for cervical cancer.