Identification of potential therapeutic targets for breast cancer using Mendelian randomization analysis and drug target prediction.

Breast cancer stands as the foremost cause of cancer-related mortality among women, presenting a substantial economic impact on society. The limitations in current therapeutic options, coupled with poor patient tolerance, underscore the urgent need for novel treatments. Our study embarked on a genomic association exploration of breast cancer, leveraging whole-genome sequencing data from the Finngen database, complemented by expression quantitative trait loci (eQTL) insights from the eQTLGen and GTEx Consortiums. An initial investigation was conducted through summary-based Mendelian randomization (MR) to pinpoint primary eQTLs. Analysis of blood specimens revealed 103 eQTLs significantly correlated with breast cancer. Focusing our efforts, we identified 19 candidates with potential therapeutic significance. Further scrutiny via two-sample MR pinpointed UROD, LMO4, HORMAD1, and ZSWIM5 as promising targets for breast cancer therapy. Our research sheds light on new avenues for the treatment of breast cancer, highlighting the potential of genomic association studies in uncovering viable therapeutic targets.

Comparing ChatGPT's and surgeon's responses to thyroid-related questions from patients.

BACKGROUND: For some common thyroid-related conditions with high prevalence and long follow-up times, ChatGPT can be used to respond to common thyroid-related questions. In this cross-sectional study, we assessed the ability of ChatGPT (version GPT-4.0) to provide accurate, comprehensive, compassionate, and satisfactory responses to common thyroid-related questions. STUDY DESIGN: First, we obtained 28 thyroid-related questions from the Huayitong app, which together with the two interfering questions eventually formed 30 questions. Then, these questions were responded to by ChatGPT (on July 19, 2023), junior specialist and senior specialist (on July 20, 2023) separately. Finally, 26 patients and 11 thyroid surgeons evaluated those responses on four dimensions: accuracy, comprehensiveness, compassion, and satisfaction. RESULTS: Among the 30 questions and responses, ChatGPT's speed of response was faster than that of the junior specialist (8.69 [7.53-9.48] vs. 4.33 [4.05-4.60], P <.001) and senior specialist (8.69 [7.53-9.48] vs. 4.22 [3.36-4.76], P <.001). The word count of the ChatGPT's responses was greater than that of both junior specialist (341.50 [301.00-384.25] vs. 74.50 [51.75-84.75], P <0.001) and senior specialist (341.50 [301.00-384.25] vs. 104.00 [63.75-177.75], P <0.001). ChatGPT received higher scores than junior specialist and senior specialist in terms of accuracy, comprehensiveness, compassion and satisfaction in responding to common thyroid-related questions. CONCLUSIONS: ChatGPT performed better than junior specialist and senior specialist in answering common thyroid-related questions, but further research is needed to validate the logical ability of the ChatGPT for complex thyroid questions.

The birth weight of macrosomia influence the accuracy of ultrasound estimation of fetal weight at term.

OBJECTIVE: To evaluate and analyze the accuracy of ultrasound estimation of the fetal weight of Macrosomia at term. METHOD: The instruments used were α6(Aloka; Japan) color Doppler ultrasound imagers, and vinno 80 (feieno; China) with a frequency of 3.5 MHz. The formula used to calculate the estimated fetal birth weight (EFW) was that proposed by Hadlock et al. (Hadlock 2). The biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC), and femur length (FL) measurements were performed strictly following the practice guidelines. Detailed measurement standards are shown in the figure and the table in the text. Macrosomia is typically defined as a birth weight above the 90th percentile for gestational age or >4000 g.Two indexes were used to calculate the error between EFW and birth weight (BW): Simple error (SE = BW - EFW); Absolute percentage error (APE, which reflects this percentage in absolute value, percentage error [PE = SE/BW] × 100). In order to better evaluate the measurement results, we made the following definitions: 1. When APE > 15%, the measurement deviation is significant. 2. The ratio of those cases with APE > 15% to the total number of cases measured by a sonographer was greater than 20%, indicating that the sonographer was prone to significant measurement deviation. RESULT: A total of 374 cases were analyzed. The mean maternal age was 31.48 (±15.93) years. Each pregnant woman carries only one fetus. The mean gestational age at delivery was 39.93 (±0.84) weeks. There were 245 male infants (65.5%), 129 female infants (34.5%), 214 cesarean section (57.2%), and 160 vaginal delivery (42.7%). 339 cases (90.64%) were estimated to be lower than the actual BW. The estimated weight was higher than the actual weight in 35 cases, accounting for 9.36%.The APE>15% in 56 cases, accounting for 14.97%. The accuracy of estimated fetal weight was closely related to the BW of the fetus and had no significant correlation with the seniority of the physician, the gender of the fetus, and the fetal position. CONCLUSION: Studies on macrosomia have shown that the BW of macrosomia tends to be underestimated, which is also reflected in the results of this study. The accuracy of estimated fetal weight still needs to be improved. Our study found that the accuracy of estimated fetal weight was closely related to the BW of the fetus and had no significant correlation with the seniority of the physician, the gender of the fetus, and the fetal position. The correlation between the section and calculation formula on the measurement accuracy needs to be studied. Through systematic data analysis, we can find the doctors whose measurements are relatively inaccurate in our department and carry out targeted quality control to improve the measurement accuracy.

Accuracy of Using a Patient-Derived Tumor Organoid Culture Model to Predict the Response to Chemotherapy Regimens In Stage IV Colorectal Cancer: A Blinded Study.

BACKGROUND: Patient-derived tumor organoid culture has emerged as a preclinical model that has the potential to predict individual drug response. However, the predictive accuracy of patient-derived tumor organoid culture models for responses to chemotherapy regimens in stage IV colorectal cancer remains unknown. OBJECTIVE: The purpose of this study was to evaluate the predictive accuracy of the patient-derived tumor organoid culture model for responses to chemotherapy regimens in stage IV colorectal cancer. DESIGN: A pilot study was performed to define the half-maximal inhibitory concentration of the response to chemotherapy regimens in the patient-derived tumor organoid culture model. Then, a blinded study was performed to evaluate the predictive accuracy of the patient-derived tumor organoid culture model for responses to chemotherapy regimens. SETTINGS: Cancer samples were collected from patients with stage IV colorectal cancer at Nanfang Hospital of Southern Medical University in China. PATIENTS: In the pilot study, 30 patients were enrolled, and 43 samples were collected. In the blinded study, 71 patients were enrolled, and 96 samples were collected. INTERVENTION: Patient-derived tumor organoid culture and chemotherapy regimens were tested. MAIN OUTCOME MEASURES: The predictive accuracy of the patient-derived tumor organoid model for responses to chemotherapy regimens was measured. RESULTS: The median (range) time of organoid culture and drug testing was 9 days (range, 7-14 d). In the pilot study, 30 samples (69.77% [30/43]) were successfully cultured. The half-maximal inhibitory concentration of the chemotherapy response was 10 µmol/L according to clinical chemotherapy outcomes. In the blinded study, 77 samples (80.21% [77/96]) from 57 patients were successfully cultured. The sensitivity, specificity, and accuracy of the patient-derived tumor organoid model for predicting responses to chemotherapy regimens were 63.33%, 94.12%, and 79.69%. LIMITATIONS: This was a blinded study rather than a prospective randomized controlled study. CONCLUSIONS: The patient-derived tumor organoid culture model effectively predicts responses to existing chemotherapy regimens for individual patients. Video Abstract at http://links.lww.com/DCR/B511. PRECISIN EN EL USO DE MODELOS DE CULTIVO DE ORGANOIDES TUMORALES DERIVADOS DE PACIENTES PARA PREDECIR LA RESPUESTA DEL RGIMEN DE QUIMIOTERAPIA EN CNCER COLORRECTAL ESTADIO IV ESTUDIO CIEGO: ANTECEDENTES:El cultivo de organoides tumorales derivado del paciente ha surgido como un modelo preclínico que tiene el potencial de predecir la respuesta a un fármaco individual. Sin embargo, la exactitud predictiva en los modelos de cultivo de organoides tumorales derivados de pacientes para las respuestas a los regímenes de quimioterapia en el cáncer colorrectal en estadio IV sigue siendo desconocida.OBJETIVO:Evaluar la exactitud predictiva del modelo de cultivo organoide tumoral derivado de pacientes para las respuestas a los regímenes de quimioterapia en el cáncer colorrectal en estadio IV.DISEÑO:Se realizó un estudio piloto para definir la concentración inhibitoria media máxima de la respuesta a los regímenes de quimioterapia en el modelo de cultivo organoide tumoral derivado de pacientes. Luego, se realizó un estudio ciego para evaluar la exactitud predictiva del modelo de cultivo organoide tumoral derivado de pacientes para las respuestas a los regímenes de quimioterapia.AJUSTE:Se recolectaron muestras de cáncer de pacientes con cáncer colorrectal en estadio IV en el Hospital Nanfang de la Universidad Médica del Sur en China.PACIENTES:En el estudio piloto, se inscribieron 30 pacientes y se recolectaron 43 muestras. En el estudio ciego, se inscribieron 71 pacientes y se recolectaron 96 muestras.INTERVENCIÓN:Se probaron cultivos de organoides de tumores derivados del paciente y regímenes de quimioterapia.PRINCIPALES MEDIDAS DE RESULTADO:La precisión predictiva del modelo organoide tumoral derivado del paciente para las respuestas a los regímenes de quimioterapia.RESULTADOS:La mediana (rango) de tiempo de cultivo organoide y prueba de drogas fue de 9 (7-14) días. En el estudio piloto, se cultivaron con éxito 30 (69,77% [30/43]) muestras. La concentración inhibidora media máxima de la respuesta a la quimioterapia fue de 10 µmol / L según los resultados de la quimioterapia clínica. En el estudio ciego, se cultivaron con éxito 77 muestras (80,21% [77/96]) de 57 pacientes. La sensibilidad, especificidad y precisión del modelo organoide tumoral derivado del paciente para predecir las respuestas a los regímenes de quimioterapia fueron 63,33%, 94,12% y 79,69%, respectivamente.LIMITACIONES:Este fue un estudio ciego en lugar de un estudio prospectivo, aleatorizado y controlado.CONCLUSIONES:El modelo de cultivo organoide tumoral derivado de pacientes predice eficazmente las respuestas a los regímenes de quimioterapia existentes para pacientes individuales. Consulte Video Resumen en http://links.lww.com/DCR/B511.

Genomic characteristics and drug screening among organoids derived from non-small cell lung cancer patients.

BACKGROUND: Patient-derived organoid (PDO) models are highly valuable and have potentially widespread clinical applications. However, limited information is available regarding organoid models of non-small cell lung cancer (NSCLC). This study aimed to characterize the consistency between primary tumors in NSCLC and PDOs and to explore the applications of PDOs as preclinical models to understand and predict treatment response during lung cancer. METHODS: Fresh tumor samples were harvested for organoid culture. Primary tumor samples and PDOs were analyzed via whole-exome sequencing. Paired samples were subjected to immunohistochemical analysis. There were 26 antineoplastic drugs tested in the PDOs. Cell viability was assessed using the Cell Titer Glo assay 7-10 days after drug treatment. A heatmap of log-transformed values of the half-maximal inhibitory concentrations was generated on the basis of drug responses of PDOs through nonlinear regression (curve fit). A total of 12 patients (stages I-III) were enrolled, and 7 paired surgical tumors and PDOs were analyzed. RESULTS: PDOs retained the histological and genetic characteristics of the primary tumors. The concordance between tumors and PDOs in mutations in the top 20 NSCLC-related genes was >80% in five patients. Sample purity was significantly and positively associated with variant allele frequency (Pearson r = 0.82, P = 0.0005) and chromosome stability. The in vitro response to drug screening with PDOs revealed high correlation with the mutation profiles in the primary tumors. CONCLUSIONS: PDOs are highly credible models for detecting NSCLC and for prospective prediction of the treatment response for personalized precision medicine. KEY POINTS: Lung cancer organoid models could save precious time of drug testing on patients, and accurately select anticancer drugs according to the drug sensitivity results, so as to provide a powerful supplement and verification for the gene sequencing.

BRCA1 represses DNA replication initiation through antagonizing estrogen signaling and maintains genome stability in parallel with WEE1-MCM2 signaling during pregnancy.

The mammary gland undergoes fast cell proliferation during early pregnancy, yet the mechanism to ensure genome integrity during this highly proliferative stage is largely unknown. We show that pregnancy triggers replicative stresses leading to genetic instability in mice carrying a mammary specific disruption of breast cancer associated gene-1 (BRCA1). The fast cell proliferation was correlated with enhanced expression of most genes encoding replisomes, which are positively regulated by estrogen/ERα signaling but negatively regulated by BRCA1. Our further analysis revealed two parallel signaling pathways, which are mediated by ATR-CHK1 and WEE1-MCM2 and are responsible for regulating DNA replication checkpoint. Upon DNA damage, BRCA1 deficiency markedly enhances DNA replication initiation and preferably impairs DNA replication checkpoint mediated by ATR and CHK1. Meanwhile, DNA damage also activates WEE1-MCM2 signaling, which inhibits DNA replication initiation and enables BRCA1-deficient cells to avoid further genomic instability. Finally, we demonstrated that overriding this defense by WEE1 inhibition in combination with cisplatin, which causes DNA damage, serves as a promising therapeutic approach for killing BRCA1-deficient cancer cells.

Single-cell analysis reveals cancer stem cell heterogeneity in hepatocellular carcinoma.

Intratumor molecular heterogeneity of hepatocellular carcinoma is partly attributed to the presence of hepatic cancer stem cells (CSCs). Different CSC populations defined by various cell surface markers may contain different oncogenic drivers, posing a challenge in defining molecularly targeted therapeutics. We combined transcriptomic and functional analyses of hepatocellular carcinoma cells at the single-cell level to assess the degree of CSC heterogeneity. We provide evidence that hepatic CSCs at the single-cell level are phenotypically, functionally, and transcriptomically heterogeneous. We found that different CSC subpopulations contain distinct molecular signatures. Interestingly, distinct genes within different CSC subpopulations are independently associated with hepatocellular carcinoma prognosis, suggesting that a diverse hepatic CSC transcriptome affects intratumor heterogeneity and tumor progression. CONCLUSION: Our work provides unique perspectives into the biodiversity of CSC subpopulations, whose molecular heterogeneity further highlights their role in tumor heterogeneity, prognosis, and hepatic CSC therapy. (Hepatology 2018;68:127-140).

WEE1 inhibition targets cell cycle checkpoints for triple negative breast cancers to overcome cisplatin resistance.

Cisplatin is one of the most commonly used therapeutic drugs for cancer therapy, yet prolonged cisplatin treatment frequently results in drug resistance. To enhance therapeutic effect of cisplatin, we conducted a high throughput screening using a kinase library containing 704 kinases against triple negative breast cancer (TNBC) cells. We demonstrated that cisplatin activates ATR, CHK1 and WEE1, which shut down DNA replication and attenuate cisplatin induced-lethality. WEE1 inhibition sensitizes TNBCs and cisplatin resistant cancer cells to cisplatin-induced lethality, because it not only impairs DNA replication checkpoint more profoundly than inhibition of ATR or CHK1, but also defects G2-M cell cycle checkpoint. Finally, we demonstrated that combined cisplatin treatment and WEE1 inhibition synergistically inhibits xenograft cancer growth accompanied by markedly reduced expression of TNBC signature genes. Thus targeting DNA replication and G2-M cell cycle checkpoint simultaneously by cisplatin and WEE1 inhibition is promising for TNBCs treatment, and for overcoming their cisplatin resistance.

GABA exists as a negative regulator of cell proliferation in spermatogonial stem cells. [corrected].

γ-amino butyric acid (GABA) is the main inhibitory neurotransmitter in the mammalian central nervous system. GABA is also found in many peripheral tissues, where it has important functions during development. Here, we identified the existence of the GABA system in spermatogonial stem cells (SSCs) and found that GABA negatively regulates SSC proliferation. First, we demonstrated that GABA and its synthesizing enzymes were abundant in the testes 6 days postpartum (dpp), suggesting that GABA signaling regulates SSCs function in vivo. In order to directly examine the effect of GABA on SSC proliferation, we then established an in vitro culture system for long-term expansion of SSCs. We showed that GABAA receptor subunits, including α1, α5, ß1, ß2, ß3 and γ3, the synthesizing enzyme GAD67, and the transporter GAT-1, are expressed in SSCs. Using phosphorylated histone H3 (pH3) staining, we demonstrated that GABA or the GABAAR-specific agonist muscimol reduced the proliferation of SSCs. This GABA regulation of SSC proliferation was shown to be independent of apoptosis using the TUNEL assay. These results suggest that GABA acts as a negative regulator of SSC proliferation to maintain the homeostasis of spermatogenesis in the testes.

Erratum to: GABA exists as a negative regulator of cell proliferation in spermaogonial stem cells.

[This corrects the article DOI: 10.2478/s11658-013-0081-4.].

Differential response of multiple zebrafish hepatic F-box protein genes to 17alpha-ethinylestradiol treatment.

Estrogens are accumulating in environment and their effects on a variety of reproductive processes and tumorigenesis were reported by previous study, but the mechanism of estrogen promoting neoplasia was still not clear. F-box protein (FBP) is the component of E3 ubiquitin ligase which takes part in a variety of key biological processes. In this study, using mature male zebrafish, which are more sensitive to estrogen treatment, we examined influence of 17alpha-ethinylestradiol (EE2) exposure on the expression of a series of hepatic FBP genes, which take part in a variety of biological processes, including tumorigenesis. The influence of EE2 on the expression of hepatic mRNA concentrations of FBP genes were quantified based on the expression of the optimal internal control gene in male zebrafish after 7-day exposure to EE2, from a low-dose concentration (1 ng/L) to environmentally relevant concentrations (10, 100 ng/L). Our results showed that EE2 exposure reduced the expression of fbxl14a, fbxl14b, fbxo25 and beta-TRCP2b, but enchanced the expression of skp2. While the alterations in fbxl2, fbxw7, fbxo9, beta-TRCP2a, fbxl18 and fbxo45 mRNA levels were not observed after EE2 exposure. Thus, our results showed that the expression of hepatic FBP genes exhibited differentially in male zebrafish exposed EE2. The changes of the expression level of FBP genes induced by EE2 may be an important clue to elucidate the correlations of estrogen and hepatic tumors.

Wigner distribution function of an Airy beam.

We study the Wigner distribution function (WDF) of an Airy beam. The analytical expression of the WDF of an Airy beam is obtained. Numerical and graphical results of the WDF of an Airy beam provide an intuitive picture to explain the intriguing features of an Airy beam, such as weak diffraction, curved propagation, and self-healing. Our results confirm that these novel properties of an Airy beam are attributed to the continuum of sideways contributions to the field.

[Correlation between gene polymorphisms of Wnt signalling pathway related components and risk of gastric carcinoma: a case-control study].

OBJECTIVE: To investigate correlation between polymorphisms of rs3755557 and rs1880481 located in glycogen synthase kinase 3beta gene and beta-catenin gene respectively, the products of which are components of Wnt signalling pathway, and risk of gastric carcinoma. METHODS: PCR and denaturing high-performance liquid chromatography combining with DNA sequencing were used to analyse genotype polymorphism of rs3755557 and rs1880481 of the subjects including 26 patients of gastric carcinoma and 33 patients of chronic superficial gastritis. RESULTS: Chi-square analysis revealed that there was no significant difference in the frequencies of alleles and genotypes of rs3755557 polymorphic site between gastric carcinoma group and control group. As to the rs1880481 polymorphic site, there was no significant difference in the frequencies of alleles between gastric carcinoma group and the corresponding control group. The frequency of heterozygous genotype in male control group was 68.18% and it was significantly higher than 26.67% in male gastric carcinoma group, OR=5.893, 95%CI: 1.377-25.226 (P=0.013); but the frequencies of AA genotype of the site in male control group and male gastric carcinoma group were 9.09% and 40.00% respectively. There was statistical significance, OR=6.667, 95% CI: 1.121-39.660 (P=0.025). CONCLUSION: The above results suggest that the genotypes and alleles of rs3755557 site do not contribute to the risk of gastric carcinoma. Low level of the heterozygous genotype or high level of AA genotype of rs1880481 polymorphic site in male patients might cause a higher risk of developing gastric carcinoma.