Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset and to empirically validate the PRSs in prospective studies. The development dataset comprised 94,075 case subjects and 75,017 control subjects of European ancestry from 69 studies, divided into training and validation sets. Samples were genotyped using genome-wide arrays, and single-nucleotide polymorphisms (SNPs) were selected by stepwise regression or lasso penalized regression. The best performing PRSs were validated in an independent test set comprising 11,428 case subjects and 18,323 control subjects from 10 prospective studies and 190,040 women from UK Biobank (3,215 incident breast cancers). For the best PRSs (313 SNPs), the odds ratio for overall disease per 1 standard deviation in ten prospective studies was 1.61 (95%CI: 1.57–1.65) with area under receiver-operator curve (AUC) = 0.630 (95%CI: 0.628–0.651). The lifetime risk of overall breast cancer in the top centile of the PRSs was 32.6%. Compared with women in the middle quintile, those in the highest 1% of risk had 4.37- and 2.78-fold risks, and those in the lowest 1% of risk had 0.16- and 0.27-fold risks, of developing ER-positive and ER-negative disease, respectively. Goodness-of-fit tests indicated that this PRS was well calibrated and predicts disease risk accurately in the tails of the distribution. This PRS is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs.

Liver diseases affect millions of people worldwide. In most developed countries, the incidence of viral hepatitis is waning as a result of modern advances in disease prevention, diagnosis, and therapies. Expanded programmes for systematic immunisation against hepatitis B virus have also significantly brought down the number of new cases in many countries, including China. In contrast, with the improvement in living standards, the prevalence of metabolic liver diseases including non-alcoholic fatty liver disease and alcohol-related liver disease is set to rise, ultimately leading to more cases of end-stage liver diseases (liver failure, cirrhosis, and liver cancer). Over the past 30 years, visionary governments of major nations have provided strong incentives for basic/clinical research, vaccination programmes, and drug discovery and development in the field of hepatology. To get rid of her unflattering title as the ''leader in liver diseases", China has also made a serious effort to initiate nationwide preventive measures for liver diseases, global partnerships, and mentoring programmes for young hepatologists. Instrumental to such progress is the continuous support of the National Natural Science Foundation of China (NSFC), which has helped hepatology to thrive in virtually all research directions within the country. In this article, we seek to provide stimulating glimpses into the evolving liver disease epidemiology, institutional research profiles, funding landscape, and drug development trends in China, with an attempt to compare her status and achievements with those of the United States, European countries, and Japan.

Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants (CCVs) in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium, and enriched genomic features to determine variants with high posterior probabilities of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:

The T-cell surface molecule TIGIT is an immune checkpoint molecule that inhibits T-cell responses, but its roles in cancer are little understood. In this study, we evaluated the role TIGIT checkpoint plays in the development and progression of gastric cancer. We show that the percentage of CD8 T cells that are TIGIT þ was increased in gastric cancer patients compared with healthy individuals. These cells showed functional exhaustion with impaired activation, proliferation, cytokine production, and metabolism, all of which were rescued by glucose. In addition, gastric cancer tissue and cell lines expressed CD155, which bound TIGIT receptors and inactivated CD8 T cells. In a T cell-gastric cancer cell coculture system, gastric cancer cells deprived CD8 T cells of glucose and impaired CD8 T-cell effector functions; these effects were neutralized by the additional glucose or by TIGIT blockade. In gastric cancer tumor cells, CD155 silencing increased T-cell metabolism and IFNg production, whereas CD155 overexpression inhibited T-cell metabolism and IFNg production; this inhibition was neutralized by TIGIT blockade. Targeting CD155/TIGIT enhanced CD8 T-cell reaction and improved survival in tumor-bearing mice. Combined targeting of TIGIT and PD-1 further enhanced CD8 T-cell activation and improved survival in tumor-bearing mice.Our results suggest that gastric cancer cells inhibit CD8 T-cell metabolism through CD155/TIGIT signaling, which inhibits CD8 T-cell effector functions, resulting in hyporesponsive antitumor immunity. These findings support the candidacy of CD155/TIGIT as a potential therapeutic target in gastric cancer.

The prognostic, especially predictive, values of inflammation indexes in advanced colorectal cancer were not established. Therefore, the both values of neutrophil lymphocyte ratio (NLR) and platelet lymphocyte ratio (PLR) in patients with initially metastatic colorectal cancer (mCRC) were investigated and compared. Samples were collected from 243 patients who were initially diagnosed with mCRC between 2005 and 2010 in the Sun Yat-sen University Cancer Center. Elevated NLR (p < 0.001), PLR (p = 0.008), and CEA (p < 0.001) were identified as statistically significant poor prognostic factors for overall survival (OS), while only NLR (p = 0.029) and CEA (p < 0.001) were validated as independent predictors. Univariate analysis identified elevated NLR (p < 0.001), PLR (p = 0.023), and CEA (p < 0.001) as statistically significant poor predict factors for the progression-free survival (PFS) of first-line chemotherapy, while NLR (p = 0.013) and CEA (p = 0.001) were independent. In addition, we observed significantly different OS (p < 0.001) and PFS (p < 0.001) among patients who had elevations in both NLR and CEA levels and those having one elevation or neither elevation. NLR, PLR, and CEA were significant predictors of OS and PFS in mCRC. However, only NLR and CEA play as independent. When coupled with CEA, NLR may lead to improved prognostic predictors.

N6‐methyladenosine (m6A) is an abundant nucleotide modification in mRNA, known to regulate mRNA stability, splicing, and translation, but it is unclear whether it is also has a physiological role in the intratumoral microenvironment and cancer drug resistance. Here, we find that METTL3, a primary m6A methyltransferase, is significantly down‐regulated in human sorafenib‐resistant hepatocellular carcinoma (HCC). Depletion of METTL3 under hypoxia promotes sorafenib resistance and expression of angiogenesis genes in cultured HCC cells and activates autophagy‐associated pathways. Mechanistically, we have identified FOXO3 as a key downstream target of METTL3, with m6A modification of the FOXO3 mRNA 3′‐untranslated region increasing its stability through a YTHDF1‐dependent mechanism. Analysis of clinical samples furthermore showed that METTL3 and FOXO3 levels are tightly correlated in HCC patients. In mouse xenograft models, METTL3 depletion significantly enhances sorafenib resistance of HCC by abolishing the identified METTL3‐mediated FOXO3 mRNA stabilization, and overexpression of FOXO3 restores m6A‐dependent sorafenib sensitivity. Collectively, our work reveals a critical function for METTL3‐mediated m6A modification in the hypoxic tumor microenvironment and identifies FOXO3 as an important target of m6A modification in the resistance of HCC to sorafenib therapy.

Nanoparticles (NPs) have emerged as an effective means to deliver therapeutic drugs for cancer treatment, as they can preferentially accumulate at tumor site through the enhanced permeability and retention effect. Various forms of NPs including liposomes, polymeric micelles, and inorganic particles have been used for therapeutic applications. However, the therapeutic benefits of nanomedicines are suboptimal. Although many possible reasons may account for the compromised therapeutic efficacy, the inefficient tumor penetration can be a vital obstacle. Tumor develops characteristic pathological environment, such as abnormal vasculature, elevated interstitial fluid pressure, and dense extracellular matrix, which intrinsically hinder the transport of nanomedicines in the tumor parenchyma. The physicochemical properties of the NPs such as size, shape, and surface charge have profound effect on tumor penetration. In this review, we will highlight the factors that affect the transport of NPs in solid tumor, and then elaborate on designing strategies to improve NPs' penetration and uniform distribution inside the tumor interstitium. This article is categorized under: Therapeutic Approaches and Drug Discovery > Nanomedicine for Oncologic Disease.

SPHK1 expression is elevated in gastric cancer and is associated with shorter survival times for patients. However, the molecular mechanism of SPHK1 up-regulation in gastric cancer remains unclear. In the present study, we report that miR-124 down-regulated SPHK1 expression by directly targeting its 3'-untranslated region (3'-UTR) and that miR-124 expression was inversely correlated with SPHK1 expression in gastric cancer samples. Furthermore, we demonstrated that, similar to the effect of silencing SPHK1, up-regulation of miR-124 markedly inhibited proliferation and tumourigenicity of gastric cancer cells both in vitro and in vivo. This was found to be mechanistically associated with induction of cyclin-dependent kinase inhibitors p21$^{{\rm Cip1}}$ and p27$^{{\rm Kip1}}$, enhancement of the transcriptional activity of FOXO1 and suppression of AKT activity. Moreover, we showed that the re-introduction of SPHK1 (without the 3'-UTR), but not with the 3'-UTR, could abrogate the miR-124-mediated induction of p21$^{{\rm Cip1}}$ and p27$^{{\rm Kip1}}$, as well as rescue the miR-124-induced proliferation inhibition. Together, these results suggest that miR-124 has an important role in the suppression of gastric cancer and presents a novel mechanism of miRNA-mediated SPHK1 expression in cancer cells.