Association of early menarche with breast tumor molecular features and recurrence.

BACKGROUND: Early menarche is an established risk factor for breast cancer but its molecular contribution to tumor biology and prognosis remains unclear. METHODS: We profiled transcriptome-wide gene expression in breast tumors (N = 846) and tumor-adjacent normal tissues (N = 666) from women in the Nurses' Health Studies (NHS) to investigate whether early menarche (age < 12) is associated with tumor molecular and prognostic features in women with breast cancer. Multivariable linear regression and pathway analyses using competitive gene set enrichment analysis were conducted in both tumor and adjacent-normal tissue and externally validated in TCGA (N = 116). Subgroup analyses stratified on ER-status based on the tumor were also performed. PAM50 signatures were used for tumor molecular subtyping and to generate proliferation and risk of recurrence scores. We created a gene expression score using LASSO regression to capture early menarche based on 28 genes from FDR-significant pathways in breast tumor tissue in NHS and tested its association with 10-year disease-free survival in both NHS (N = 836) and METABRIC (N = 952). RESULTS: Early menarche was significantly associated with 369 individual genes in adjacent-normal tissues implicated in extracellular matrix, cell adhesion, and invasion (FDR ≤ 0.1). Early menarche was associated with upregulation of cancer hallmark pathways (18 significant pathways in tumor, 23 in tumor-adjacent normal, FDR ≤ 0.1) related to proliferation (e.g. Myc, PI3K/AKT/mTOR, cell cycle), oxidative stress (e.g. oxidative phosphorylation, unfolded protein response), and inflammation (e.g. pro-inflammatory cytokines IFN α and IFN γ ). Replication in TCGA confirmed these trends. Early menarche was associated with significantly higher PAM50 proliferation scores (ß = 0.082 [0.02-0.14]), odds of aggressive molecular tumor subtypes (basal-like, OR = 1.84 [1.18-2.85] and HER2-enriched, OR = 2.32 [1.46-3.69]), and PAM50 risk of recurrence score (ß = 4.81 [1.71-7.92]). Our NHS-derived early menarche gene expression signature was significantly associated with worse 10-year disease-free survival in METABRIC (N = 952, HR = 1.58 [1.10-2.25]). CONCLUSIONS: Early menarche is associated with more aggressive molecular tumor characteristics and its gene expression signature within tumors is associated with worse 10-year disease-free survival among women with breast cancer. As the age of onset of menarche continues to decline, understanding its relationship to breast tumor characteristics and prognosis may lead to novel secondary prevention strategies.

Metformin and other anti-diabetic medication use and breast cancer incidence in the Nurses' Health Studies.

We aimed to examine the association between the use of metformin and other anti-diabetic medications and breast cancer incidence within two large prospective cohort studies. We followed 185,181 women who participated in the Nurses' Health Study (NHS; 1994-2016) and the NHSII (1995-2017), with baseline corresponding to the date metformin was approved for type 2 diabetes (T2D) treatment in the US Information on T2D diagnosis, anti-diabetes medications, and other covariates was self-reported at baseline and repeatedly assessed by follow-up questionnaires every 2 years. Breast cancer cases were self-reported and confirmed by medical record review. Hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between medication use and breast cancer were estimated using Cox proportional hazards regression models, adjusting for breast cancer risk factors. During 3,324,881 person-years of follow-up, we ascertained 9,192 incident invasive breast cancer cases, of which 451 were among women with T2D. Compared with women without T2D (n = 169,263), neither metformin use (HR = 0.97; 95% CI = 0.81-1.15) nor other anti-diabetic medications use (HR = 1.11; 95% CI = 0.90-1.36) associated with significantly lower breast cancer incidence. Among women with T2D (n = 15,918), compared with metformin never users, metformin ever use was not significantly inversely associated with breast cancer (HR = 0.92; 95% CI = 0.74-1.15). Although we observed that past use of metformin was inversely associated with breast cancer in the T2D population (HR = 0.67; 95% CI = 0.48-0.94), current use (HR = 1.01; 95% CI = 0.80-1.27) and longer duration of metformin use were not associated with breast cancer (each 2-year interval: HR = 1.01; 95% CI = 0.95-1.07). Overall, metformin use was not associated with the risk of developing breast cancer among the overall cohort population or among women with T2D.

Elucidating shared biomarkers and pathways in kidney stones and diabetes: insights into novel therapeutic targets and the role of resveratrol.

BACKGROUND: The pathogenic mechanisms shared between kidney stones and diabetes at the transcriptional level remain elusive, and the molecular mechanisms by which resveratrol exerts its protective effects against these conditions require further investigation. METHODS: To address these gaps in knowledge, we conducted a comprehensive analysis of microarray and RNA-seq datasets to elucidate shared biomarkers and biological pathways involved in the pathogenesis of kidney stones and diabetes. An assortment of bioinformatic approaches was employed to illuminate the common molecular markers and associated pathways, thereby contributing to the identification of innovative therapeutic targets. Further investigation into the molecular mechanisms of resveratrol in preventing these conditions was conducted using molecular docking simulation and first-principles calculations. RESULTS: The study identified 11 potential target genes associated with kidney stones and diabetes through the intersection of genes from weighted gene co-expression network analysis (WGCNA) and differentially expressed genes (DEGs) screening. Among these, Interleukin 11 (IL11) emerged as a pivotal hub gene and a potential diagnostic biomarker for both conditions, particularly in males. Expression analysis of IL11 demonstrated elevated levels in kidney stones and diabetes groups compared to controls. Additionally, IL11 exhibited correlations with specific cell types and differential expression in normal and pathological conditions. Gene set enrichment analysis (GSEA) highlighted significant disparities in biological processes, pathways, and immune signatures associated with IL11. Moreover, molecular docking simulation of resveratrol towards IL11 and a first-principles investigation of Ca adsorption on the resveratrol surface provided structural evidence for the development of resveratrol-based drugs for these conditions. CONCLUSIONS: Overall, this investigation illuminates the discovery of common molecular mechanisms underlying kidney stones and diabetes, unveils potential diagnostic biomarkers, and elucidates the significance of IL11 in these conditions. It also provides insights into IL11 as a promising therapeutic target and highlights the role of resveratrol. Nonetheless, further research is warranted to enhance our understanding of IL11 targeting mechanisms and address any limitations in the study.

[Effect of BBM gene on callus growth and ginsenoside content in Panax quinquefolius].

Baby Boom(BBM) gene is a key regulatory factor in embryonic development and regeneration, cell proliferation, callus growth, and differentiation promotion. Since the genetic transformation system of Panax quinquefolius is unstable with low efficiency and long period, this study attempted to transfer BBM gene of Zea mays to P. quinquefolius callus by gene gunship to investigate its effect on the callus growth and ginsenoside content, laying a foundation for establishing efficient genetic transformation system of P. quinquefolius. Four transgenic callus of P. quinquefolius with different transformation events were obtained by screening for glufosinate ammonium resistance and molecular identification by PCR. The growth state and growth rate of wild-type and transgenic callus were compared in the same growth period. The content of ginsenoside in transgenic callus was determined by ultra-high performance liquid chromatography-triple quadrupole mass spectrometry(UPLC-MS/MS). The results showed that transgenic callus growth rate was significantly higher than that of wild-type callus. In addition, the content of ginsenoside Rb_1, Rg_1, Ro, and Re was significantly higher than that in wild-type callus. The paper preliminarily proved the function of BBM gene in promoting growth rate and increasing ginsenoside content, which provided a scientific basis to establish a stable and efficient genetic transformation system for Panax plants in the future.

Menopausal hormone therapy use and long-term all-cause and cause-specific mortality in the Long Island Breast Cancer Study Project.

Previous studies have observed a reduced mortality risk associated with menopausal hormone therapy (MHT) use among breast cancer survivors. We sought to clarify whether such association could be explained by tumor heterogeneity, specific causes of death, confounding from comorbidities or health behaviors, and a comparison group of women without breast cancer. We interviewed 1508 women newly diagnosed with first primary breast cancer in 1996 to 1997 (~3 months after diagnosis), and 1556 age-matched women without breast cancer, about MHT use history. The National Death Index was used to ascertain vital status after a median of 17.6 years of follow-up (N = 597 deaths for breast cancer subjects). Multivariable-adjusted Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (95%CIs) for all-cause mortality, and cause-specific HR (cHR) for breast cancer and cardiovascular disease (CVD). The Fine-Gray model was used to account for competing causes of death. Among women with breast cancer, ever vs never MHT use was inversely associated with all-cause (HR = 0.77, 95%CI = 0.62-0.95), breast cancer-specific (cHR = 0.69, 95%CI = 0.48-0.98), and CVD-specific mortality (cHR = 0.57, 95%CI = 0.38-0.85). Difference of the association was observed in breast cancer-specific mortality according to hormone receptor status (negative tumors: cHR = 0.44, 95%CI = 0.19-1.01; positive tumors: cHR = 0.96, 95%CI = 0.60-1.53). Among the comparison group, we observed similar, but more modest inverse associations for all-cause and CVD-specific mortality. MHT use was inversely associated with mortality after breast cancer, even after accounting for competing causes of death and multiple confounders, and was evident among women without breast cancer. Potential heterogeneity by hormone receptor status requires more study.

Diabetes and cardiovascular disease mortality among a population-based cohort of women with and without breast cancer.

PURPOSE: We investigated whether the relationship between diabetes and all-cause and CVD-related mortality differed between women with and without breast cancer among a cohort drawn from the same source population. METHODS: We interviewed 1,363 women newly diagnosed with breast cancer in 1996-1997, and 1,358 age-matched women without breast cancer, to assess history of physician-diagnosed diabetes. All-cause (n = 631) and CVD-specific mortality (n = 234) was determined by the National Death Index through 2009. We estimated multivariable-adjusted hazard ratios (HRs) for the rates of all-cause and CVD-specific mortality and, to account for competing causes of death, and subdistribution HRs (sHRs) for risk of CVD-related death. RESULTS: Among women with and without breast cancer, respectively, diabetes was associated with: all-cause mortality [HR (95% CI) 1.52 (1.13, 2.05) and 2.17 (1.46, 3.22)]; CVD-specific deaths [1.74 (1.06, 2.84) and 2.06 (1.11, 3.84)]; and risk of CVD-related death [sHR 1.36 (0.81, 2.27) and 1.79 (0.94, 3.40)]. Differences in effect estimates between women with and without breast cancer did not reach statistical significance (p-interaction > 0.10). CONCLUSION: We found that the positive association between a history of physician-diagnosed diabetes and risk of all-cause and CVD-related mortality is of similar magnitude among a population-based cohort of women with or without breast cancer.

Prediagnosis aspirin use, DNA methylation, and mortality after breast cancer: A population-based study.

BACKGROUND: The authors hypothesized that epigenetic changes may help to clarify the underlying biologic mechanism linking aspirin use to breast cancer prognosis. To the authors' knowledge, this is the first epidemiologic study to examine whether global methylation and/or tumor promoter methylation of breast cancer-related genes interact with aspirin use to impact mortality after breast cancer. METHODS: Prediagnosis aspirin use was assessed through in-person interviews within a population-based cohort of 1508 women diagnosed with a first primary breast cancer in 1996 and 1997. Global methylation in peripheral blood was assessed by long interspersed elements-1 (LINE-1) and the luminometric methylation assay. Promoter methylation of 13 breast cancer-related genes was measured in tumor by methylation-specific polymerase chain reaction and the MethyLight assay. Vital status was determined by the National Death Index through December 31, 2014 (N = 202/476 breast cancer-specific/all-cause deaths identified among 1266 women with any methylation assessment and complete aspirin data). Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% CIs, and the likelihood ratio test was used to evaluate multiplicative interactions. RESULTS: All-cause mortality was elevated among aspirin users who had methylated promotor of BRCA1 (HR, 1.67; 95% CI, 1.26-2.22), but not among those with unmethylated promoter of BRCA1 (HR, 0.99; 95% CI, 0.67-1.45; P for interaction ≤.05). Decreased breast cancer-specific mortality was observed among aspirin users who had unmethylated promotor of BRCA1 and PR and global hypermethylation of LINE-1 (HR, 0.60, 0.78, and 0.63, respectively; P for interaction ≤.05), although the 95% CIs included the null. CONCLUSIONS: The current study suggests that the LINE-1 global methylation and promoter methylation of BRCA1 and PR in tumor may interact with aspirin use to influence mortality after breast cancer.

Modification of Three-Phase Drug Release Mode of Octreotide PLGA Microspheres by Microsphere-Gel Composite System.

In order to obtain sustained release of biodegradable microspheres, the purpose of this study was to design and characterize an injectable octreotide microsphere-gel composite system. The octreotide microspheres were prepared by phase separation method, which used PLGA as a carrier material, dimethyl silicone oil as a phase separation reagent, and n-heptane-Span 80 as a hardener. In addition, we used poloxamer 407 (PL 407) and poloxamer 188 (PL 188) as the thermosensitive gel matrix material. The composite system was obtained by scattering octreotide microspheres in a poloxamer gel. In vitro data showed that the release time of the composite system could last for about 50 days. Because of the blocking and control actions of the poloxamer gel, the initial burst release was significantly reduced and the plateau phase was eliminated. Pharmacokinetic data showed that the burst release of the composite system was significantly less than that of the microspheres, i.e., Cmax1 was reduced by about half. From day 2 to day 50, higher plasma concentration levels and more stable drug release behavior were exhibited. In addition, the good biocompatibility of the composite system in vivo was also demonstrated by hematoxylin-eosin (HE) staining. Therefore, the octreotide microsphere-gel composite system will be a new direction for hydrophilic polypeptide/protein-loaded sustained release dosage forms with high pharmacological activity.

Non-herbal tea consumption and ovarian cancer risk: a systematic review and meta-analysis of observational epidemiologic studies with indirect comparison and dose-response analysis.

Ovarian cancer (OC) accounts for 4% of female malignancies worldwide, and its prognosis is unfavorable. Currently available epidemiologic data suggest that non-herbal tea consumption may reduce OC risk, but these evidences are inconsistent. A comprehensive literature search for observational epidemiologic studies reporting associations between non-herbal tea consumption and OC risk was conducted in electronic databases. A random-effects model was used to synthesize effect measures in binary meta-analysis, and adjusted indirect comparison was used to compare whether there was a difference in effects between green tea (GT) and black tea (BT). Both linear and non-linear models were used to explore the dose-response relationship. Fourteen studies were included, and we obtained an inverse and significant pooled estimate in binary meta-analysis [risk ratio (RR)pool = 0.76, 95% confidence interval (CI) 0.61-0.95, PCochran < 0.001, I2 = 81.5%]. No publication bias was identified in binary meta-analysis. In binary meta-analysis stratified by tea types, we observed a significant association for GT (RRpool = 0.64, 95% CI 0.45-0.90, PCochran = 0.071, I2 = 53.6%), but not BT (RRpool = 0.85, 95% CI 0.65-1.12, PCochran = 0.007, I2 = 65.9%). Indirect comparison, which treated BT as the reference, showed an inverse but non-significant association (RRGT versus BT = 0.74, 95% CI 0.48-1.15). Both linear and non-linear models found that OC risk decreased as the consumption levels of total non-herbal tea increased. However, the dose-response relationship was stronger for GT when compared with BT. Our results suggest that non-herbal tea, especially GT, is associated with a reduced risk of OC. Future studies should explore biochemical evidence regarding the variation in chemopreventive effects between different types of non-herbal tea.

Pre-diagnostic aspirin use and mortality after breast cancer.

BACKGROUND: Whether aspirin or other nonsteroidal anti-inflammation drug (NSAID) use is associated with mortality following breast cancer remains unclear. Consideration of use patterns and interaction with obesity may help to clarify the inconsistent results. METHODS: Pre-diagnosis NSAID use, weight, and height were assessed ~ 3 months after diagnosis through in-person interviews with a population-based cohort of 1,442 women with first primary breast cancer. Vital status was determined through the national death index after ~ 18 years of follow-up (N = 237/597 breast cancer-specific/all-cause deaths). We used Cox proportional hazards regression to estimate multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs). Multiplicative interaction by body mass index (BMI) was evaluated using the likelihood ratio test. RESULTS: Ever aspirin use was inversely associated with breast cancer-specific mortality (HR 0.87, 95% CI 0.59-1.29), but positively associated with all-cause mortality (HR 1.21, 95% CI 0.99-1.48); the CIs included the null values. The HRs, however, were more pronounced for the highest level of duration, frequency, regularity, and timing for all-cause, but not breast cancer-specific mortality. Interactions with BMI revealed no significant heterogeneity (pinteraction = 0.37 and pinteraction = 0.36, respectively). CONCLUSION: Pre-diagnosis aspirin use was not strongly associated with mortality following breast cancer. The all-cause mortality associations, however, were slightly stronger when we considered patterns of use.

MicroRNA-494 Activation Suppresses Bone Marrow Stromal Cell-Mediated Drug Resistance in Acute Myeloid Leukemia Cells.

Acute myeloid leukemia (AML) is not sensitive to chemotherapy partially because of the protection of AML cells by mesenchymal stromal cells (MSCs). Our previous studies found that MSCs protected AML cells from apoptosis through the c-Myc-dependent pathway. However, the mechanism by which MSCs regulate c-Myc in AML cells is still unknown. To elucidate the mechanism, we performed microRNA array analysis of AML cell lines and validated by TaqMan realtime PCR. The results showed that the expression of microRNA-494 (miR-494) in AML cells after coculture with MSCs was downregulated. Reporter gene analysis confirmed miR-494 as one of the regulators of c-Myc. In the coculture system, activation of miR-494 in AML cells suppressed proliferation and induced apoptosis of AML cells in vitro. After addition of mitoxantrone to the coculture system, the proliferation of AML cells with miR-494 activation was suppressed more than that of control cells. After subcutaneous injection of AML cell lines in combination with MSC, tumor growth was suppressed in mice injected with miR-494-overexpressing AML cells. The rate of tumor formation was even lower after mitoxantrone treatment in the miR-494 overexpressing group. Moreover, miR-494 activation resulted in a decrease of leukemic cell counts in peripheral blood (PB) and bone marrow, and prolonged survival in mice injected with miR-494-overexpressing AML cellls and MSCs compared to the control mice. Our results indicate that miR-494 suppresses drug resistance in AML cells by downregulating c-Myc through interaction with MSCs and that miR-494 therefore is a potential therapeutic target. J. Cell. Physiol. 232: 1387-1395, 2017. © 2016 Wiley Periodicals, Inc.

DNA base excision repair genetic risk scores, oxidative balance, and incident, sporadic colorectal adenoma.

Associations of individual base excision repair (BER) genotypes with colorectal adenoma risk are unclear, but likely modest. However, genetic risk scores (GRS) that aggregate information from multiple genetic variants might be useful for assessing genetic predisposition to colorectal adenoma. We analyzed data pooled from three colonoscopy-based case-control studies of incident, sporadic colorectal adenoma (n = 488 cases, 604 controls) that collected blood for genotyping and extensive dietary and other data. We randomly split our population sample into training samples (half of the participants) and validation samples (the remaining participants) 10 times. Associations of 65 individual single nucleotide polymorphisms (SNPs) in 15 BER genes were assessed in the training samples and used to combine information from multiple risk variants into a BER GRS among the validation samples using unweighted and weighted methods. We also combined 15 extrinsic exposures with known pro- or antioxidant properties into an oxidative balance score (OBS). Associations of the BER GRS with colorectal adenoma, overall and jointly with the OBS, were assessed using multivariable logistic regression. The odds ratio for those in the highest relative to the lowest tertile of the weighted BER GRS was 2.07 (95% confidence interval, 1.26-3.40; ptrend = 0.01). Relative to those with both a low GRS and a high (more antioxidant) OBS, the estimated direct association for those with both a high BER GRS and a low OBS was stronger than for those in other GRS/OBS categories. Our findings suggest that BER genotypes collectively may be associated with incident sporadic colorectal adenomas.

Diabetes mellitus and long-term mortality of ovarian cancer patients. A systematic review and meta-analysis of 12 cohort studies.

Ovarian cancer (OC) is the sixth most common cancer among women, and its prognosis is not favorable. Diabetes mellitus (DM) is hypothesized to be associated with a higher mortality in ovarian cancer patients, but evidence is inconsistent. Thus, we aim to investigate if DM is associated with the long-term all-cause and long-term cancer-specific mortality in ovarian cancer patients by synthesizing available epidemiologic evidences. We used 4 electronic databases (PubMed, EMBASE, Web of Science, and Scopus) to search for eligible articles. Title/abstract screening, full-text review, data extraction, and quality assessment were performed by reviewers independently. In meta-analysis, studies reporting risk ratio (RR) or hazard ratio that investigated the association between DM and mortality of OC patients were synthesized by a random-effect model. Subgroup and sensitivity analyses were performed by certain stratification or restrictive rules. Publication bias was assessed by funnel plots and Egger test. Statistical heterogeneity was evaluated by the I-squared value and a chi-squared test for the Cochrane Q statistic. Twelve cohort studies involving 14 outcome measures were included. In overall meta-analysis, the synthesized RR for all-cause mortality was 1.44 (95% CI 1.16-1.79) without substantial statistical heterogeneity (PCochrane  = .145, I2  = 34.1%); the synthesized RR for cancer-specific mortality was 1.44 (95% CI 1.08-1.93) with substantial heterogeneity (PCochrane  < .001, I2  = 90.1%). No publication bias was observed. Our results suggest DM is associated with a higher all-cause and cancer-specific mortality in ovarian cancer patients. Future studies should be done to examine the association between type 1 DM and ovarian cancer mortality.

A systematic review of the association between fatigue and genetic polymorphisms.

Fatigue is one of the most common and distressing symptoms, leading to markedly decreased quality of life among a large subset of patients with a variety of disorders. Susceptibility to fatigue may be influenced by genetic factors including single nucleotide polymorphisms (SNPs), especially in the regulatory regions, of relevant genes. To further investigate the association of SNPs with fatigue in various patient populations, a systematic search was conducted on Pubmed, CINAHL, PsycINFO, and Sociological Abstracts Database for fatigue related-terms in combination with polymorphisms or genetic variation-related terms. Fifty papers in total met the inclusion and exclusion criteria for this analysis. These 50 papers were further classified into three subgroups for evaluation: chronic fatigue syndrome (CFS), cancer-related fatigue (CRF) and other disease-related fatigue. SNPs in regulatory pathways of immune and neurotransmitter systems were found to play important roles in the etiologies of CFS, CRF and other disease-related fatigue. Evidence for associations between elevated fatigue and specific polymorphisms in TNFα, IL1b, IL4 and IL6 genes was revealed for all three subgroups of fatigue. We also found CFS shared a series of polymorphisms in HLA, IFN-γ, 5-HT and NR3C1 genes with other disease-related fatigue, however these SNPs (excluding IFN-γ) were not found to be adequately investigated in CRF. Gaps in knowledge related to fatigue etiology and recommendations for future research are further discussed.

LncRNA CCAT1 inhibits cell apoptosis of renal cell carcinoma through up-regulation of Livin protein.

This study was to investigate the involvement of long non-coding RNA (lncRNA) colon cancer-associated transcript-1 (CCAT1) in renal cell carcinoma (RCC) and to further uncover its underlying mechanism. In this study, the expression of CCAT1 and Livin of RCC tissues or cells was determined using qRT-PCR (quantitative real-time PCR) and western blot, respectively. RNA pulldown and RIP (RNA-Binding Protein Immunoprecipitation) assays were performed to examine the sequence interaction between CCAT1 and Livin. The viability and apoptosis of RCC cells was assessed by MTT(3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) and TUNEL (TdT-mediated dUTP nick end labeling) assays, respectively. Mice of tumor animal models were established to observe the effect of CCAT1 on RCC tumor growth. The relative expression of CCAT1 in RCC tissues and cell lines was obviously higher than that of the control. CCAT1 knockdown could reduce cell viability and increase the apoptosis of RCC cells in vitro. Furthermore, Livin was significantly inhibited by CCAT1 silencing; RNA pulldown and RIP assays showed that CCAT1 was physically associated with Livin protein. Moreover, Livin overexpression not only significantly inhibited RCC cell apoptosis and increased cell viability, but completely reversed the si-CCAT1-mediated repression of cell viability. More importantly, CCAT1 silencing could inhibit the growth of RCC in vivo that was accompanied by the reduction of Livin in RCC tissues. CCAT1 inhibits RCC cell apoptosis and increases cell viability through up-regulation of Livin.

Is aspirin use associated with a decreased risk of ovarian cancer? A systematic review and meta-analysis of observational studies with dose-response analysis.

OBJECTIVE: Currently available epidemiologic evidences concerning the chemopreventive effect of aspirin on ovarian cancer are inconsistent. Therefore, we aimed to further explore the association by synthesizing evidence from population-based studies. METHODS: We searched PubMed, EMBASE, Web of Science, and Scopus using key words and controlled vocabularies. Title/abstract screening, full-text review, data extraction, and quality assessment were performed independently by reviewers, and a random-effects model was utilized for meta-analysis. Subgroup analysis was conducted based on study locale, and sensitivity analysis was performed by synthesizing studies that adjusted for certain covariates or studies with good quality. Dose-response relation was assessed by a two-stage linear dose-response model. Statistical heterogeneity was evaluated by the I-squared value and a chi-squared test for the Cochrane Q statistic. RESULTS: We identified 8 cohort studies and 15 case-control studies. In overall meta-analysis of risk ratios (RRs) of binary exposure, the synthesized RR was 0.89 (95% CI, 0.83-0.96), and no substantial statistical heterogeneity was observed (I(2)=22.5%, PCochrane=0.168). After stratification by study design, the synthesized RR was 0.85 (95% CI, 0.77-0.94) and 0.95 (95% CI, 0.85-1.05) for case-control and cohort studies, respectively. In sensitivity analysis, the synthesized estimate of long-term use was not statistically significant, whereas the effect measure (RRmeta=0.60, 95% CI, 0.39-0.93) was significant by synthesizing RRs of the highest frequency of use from 2 cohort studies. The dose-response analysis showed an inverse significant association between aspirin use and the risk (RRper 1time/wk=0.94, 95% CI, 0.89-1.00; n=2). Egger's tests showed that publication bias existed for overall meta-analysis, meta-analysis for case-control studies, and studies conducted in the United States. CONCLUSION: In summary, our study suggests that aspirin can reduce the risk of ovarian cancer. In addition, we observed a possible dose-response relation between frequency of use and ovarian cancer risk, but further studies are needed to examine this association.

Application of 3D bioprinting technology apply to assessing Dangguiniantongtang (DGNT) decoctions in arthritis.

The aim of this study was to develop a three-dimensional (3D) cell model in order to evaluate the effectiveness of a traditional Chinese medicine decoction in the treatment of arthritis. Chondrocytes (ATDC5) and osteoblasts (MC3T3-E1) were 3D printed separately using methacryloyl gelatin (GelMA) hydrogel bioinks to mimic the natural 3D cell environment. Both cell types showed good biocompatibility in GelMA. Lipopolysaccharide (LPS) was added to the cell models to create inflammation models, which resulted in increased expression of inflammatory factors IL-1ß, TNF-α, iNOS, and IL-6, and decreased expression of cell functional genes such as Collagen II (COLII), transcription factor SOX-9 (Sox9), Aggrecan, alkaline phosphatase (ALP), RUNX family transcription factor 2 (Runx2), Collagen I (COLI), Osteopontin (OPN), and bone morphogenetic protein-2 (BMP-2). The created inflammation model was then used to evaluate the effectiveness of Dangguiniantongtang (DGNT) decoctions. The results showed that DGNT reduced the expression of inflammatory factors and increased the expression of functional genes in the cell model. In summary, this study established a 3D cell model to assess the effectiveness of traditional Chinese medicine (TCM) decoctions, characterized the gene expression profile of the inflammatory state model, and provided a practical reference for future research on TCM efficacy evaluation for arthritis treatment.

Postoperative ctDNA in indicating the recurrence risk and monitoring the effect of adjuvant therapy in surgical non-small cell lung cancer.

BACKGROUND: Circulating tumor DNA (ctDNA) has emerged as a potential novel biomarker to predict molecular residual disease (MRD) in lung cancer after definitive treatment. Herein, we investigated the value of ctDNA in prognosing risk of relapse and monitoring the effect of adjuvant therapy in surgical non-small cell lung cancer (NSCLC). METHODS: We enrolled 58 NSCLC patients in a real-world setting, and 58 tumor tissues and 325 plasma samples were analyzed. Tumor tissues and plasma samples were subjected to targeted next-generation sequencing (NGS) of 1021 cancer-related and ultra-deep targeted NGS covering 338 genes, respectively. RESULTS: ctDNA was detected in 31.0% of cases at the first postoperative time, which was associated with advanced tumor stage, T stage and KEAP1 or GRIN2A mutations in tissues. ctDNA positivity at landmark and longitudinal indicated the shorter disease-free survival. For patients with ctDNA positivity at the first postoperative time, regardless of adjuvant therapy, all patients who were persistently ctDNA positive during postoperative surveillance had disease recurrence. Among the patients who were ctDNA negative, only two patients (15.4%, 2/13) receiving adjuvant therapy relapsed, while one patient (50.0%, 1/2) without adjuvant therapy relapsed. For the first postoperative ctDNA negative patients, the recurrence rate of patients with adjuvant therapy was and higher than without adjuvant therapy (22.6% [7/31] vs. 11.1% [1/9]). The patients who became ctDNA positive may also benefit from intervention therapy. CONCLUSION: Postoperative ctDNA is a prognostic marker, and ctDNA-detection may facilitate personalized adjuvant therapy, and applying adjuvant therapy to the patients with detectable ctDNA could bring clinical benefits for them.

Global Research Trends in Adipose Stem Cell Tissue Engineering: A Scientometric Research.

Adipose Stem Cell Tissue Engineering (ASCTE) has emerged as a promising field of research in recent years. To gain comprehensive insights into this field, we conducted a comprehensive bibliometric analysis using Web of Science Core Collection and various bibliometric tools, including CiteSpace, VOS viewer, and R-Bibliometrix. Our analysis focuses on the historical development and evolution of active topics in ASCTE from a time-dynamics perspective, covering 4522 publications, 3924 academic institutions, and 873 journals, with significant growth observed over the past two decades. In terms of the global research landscape, the United States and China dominate the field. Shanghai Jiao Tong University, the University of Pittsburgh, and Ming Ho University are the top three institutions contributing to research in this area. Biomaterials is identified as the central journal in terms of cocitation analysis. Our analysis also reveals new areas of development, such as 3D printing, platelet lysate, and clinical practice, as well as current trends in hydrogels, nanomaterials, and extracellular vesicles. These findings point to exciting prospects for future ASCTE research. Unlike previous subjective reviews, our bibliometric analysis provides an objective assessment of the current state and emerging trends in ASCTE research, allowing researchers to identify popular research areas and explore new directions in this dynamic field.