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When 100 social and behavioural science claims were examined, 34% of reanalyses closely matched the original results, with 74% reaching the same conclusion, revealing limited robustness of single-path analyses and the need to address analytical uncertainty.

By integrating liquid biopsies and tissue signatures, this study characterizes giredestrant response in ER+ breast cancer. The findings show that multimodal biomarker profiling can predict clinical benefit and personalize endocrine therapy.

Hoffmann et al. show that the glycolytic intermediate fructose-1,6-bisphosphate, which accumulates in the absence of aldolase, regulates focal adhesions by relieving RCC2-mediated Rac1 inhibition.

It remains unclear why some BRCA-deficient high-grade serous carcinomas (HGSC) do not respond to platinum-based therapy. Here, multi-omic analysis of BRCA1- and BRCA2-deficient HGSC attributes co-occurring mutations, DNA repair deficiency and tumor microenvironment features to short survival in these patients.

The [1,2]-Wittig rearrangement of allylic ethers is traditionally considered to proceed via formation and recombination of radical pairs. Now it has been shown that an alternative reaction cascade, involving initial enantioselective [2,3]-rearrangement followed by base-promoted anionic fragmentation–recombination that proceeds with high enantiospecificity, allows a catalytic enantioselective [1,2]-Wittig process.

The authors from the ALICE collaboration identify multiple species of mesons and baryons and measure the anisotropic flow with non-flow removal techniques in pp and p-Pb collisions at the LHC, identifying the hallmark of quark flow associated with an expanding quark-gluon plasma.

Genome-wide association meta-analysis identifies 58 independent risk loci for major anxiety disorders among individuals of European ancestry and implicates GABAergic signaling as a potential mechanism underlying genetic risk for these disorders.

HORMAD1 expression is typically restricted to germline cells where it has an important role in meiotic recombination but has been shown to be upregulated in triple negative breast cancer (TNBC). Here, the authors report that aberrant HORMAD1 expression weakens the spindle assembly checkpoint, driving sensitivity to AURORA kinase inhibition.

The APOE-ε4 allele is the strongest genetic risk factor for late-onset Alzheimer’s disease, but it is not deterministic. Here, the authors show that common genetic variation changes how APOE-ε4 influences cognition.

The transcriptional interference model has been instrumental in shaping our understanding of gene regulation. However, given that its effects are largely absent from genome-wide data, this Perspective reexamines the underlying mechanisms and suggests how they may be resolved at most loci.

Muscle spasticity is a major problem for individuals with SCI. Now, Laurent Vinay and his colleagues report that downregulation of the potassium-chloride cotransporter in spinal cord motor neurons after SCI has a key role in the development of spasticity (pages 270–271).

An outbreak of MPXV in sooty mangabeys in Côte d’Ivoire was linked to MPXV-infected fire-footed rope squirrels, providing direct evidence of interspecies transmission and indicating risk for zoonotic transmission of MPXV from both hosts.

Antisense oligonucleotide (ASO) cellular activity requires endosomal escape. Here, the authors show that disrupting Golgi-endosome protein AP1M1 enhances ASO activity by prolonging ASO endosomal residence and increasing the likelihood of endosomal escape.

Plasma p-tau217 tests used to develop clocks that predict when cognitively unimpaired individuals would develop symptoms of Alzheimerʼs disease.

Cibisatamab is a T-cell bispecific antibody targeting the carcinoembryonic antigen (CEA) on tumor cells and CD3 epsilon chain on T cells. Here the authors report the results of two clinical trials of cibisatamab as monotherapy (NCT02324257) and in combination with atezolizumab (anti-PD-L1; NCT02650713) in patients with CEA-positive solid tumors.

González-Gualda, Reinius et al. demonstrate that platinum-based chemotherapy-induced senescence promotes malignancy in ovarian and lung cancer via TGFβ ligands, with evidence in mouse models validated in clinical samples. Concomitantly blocking TGFβ signaling with chemotherapy reduces tumor burden and increases survival in mice.

Results from the phase 2/3 clinical trial of gantenerumab or solanezumab in dominantly inherited Alzheimer’s disease reveal no beneficial effects on cognitive measures despite a significant reduction in amyloid plaques and other key biomarkers in those treated with gantenerumab.

Standard first line therapy in patients with non-small cell lung cancer is immunotherapy but responses vary and consistent predictive biomarkers are lacking. Here, using RNA-sequencing data from a large clinical trial in NSCLC patients, the authors define four molecular subsets with distinct tumour-intrinsic and -extrinsic features with differing outcomes to immunotherapy combinations.

Lucia Covi uses modern microscopy to highlight the world at the nanoscale.

Here, in a longitudinal case study, Weigang et al. demonstrate that evolution of SARS-CoV-2 within a persistently infected immunosuppressed patient can result in the emergence of novel variants with reduced sensitivity to antibody neutralization.

Genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders identifies five underlying genomic factors that explain the majority of the genetic variance of the individual disorders.

HistoPlexer, a deep learning model, generates multiplexed protein expression maps from H&E images, capturing tumour–immune cell interactions. It outperforms baselines, enhances immune subtyping and survival prediction and offers a cost-effective tool for precision oncology.

Efficient lead optimization in drug discovery requires improving potency, synthetic accessibility, and physicochemical properties. Here, the authors utilize machine learning to screen large chemical spaces, demonstrating automated selection of optimized molecules to improve cycle times.

The CLL14 study (NCT02242942) explored the activity of obinutuzumab (anti-CD20) plus venetoclax (Bcl2 inhibitor) versus obinutuzumab plus chlorambucil in patients with previously untreated chronic lymphocytic leukemia (CLL). Here the authors report the 5-year long-term results of the clinical trial and transcriptional profiles associated with response to therapies.

Using advanced imaging techniques and computer modelling, the authors were able to create a detailed structural model of a nuclear pore complex from a seed plant.

Chan et al. generate a high-resolution spatiotemporal atlas of healing hearts and reveal cellular networks of lesion repair, including macrophage–fibroblast interactions that control late-stage fibrosis and immune niches that induce cardiomyocyte de-differentiation.

Affinity-selection platforms are powerful tools in early drug discovery, but current technologies such as DNA-encoded libraries (DELs) are limited by synthesis complexity and incompatibility with nucleic acid binding targets. Here, the authors present a barcode-free self-encoded library (SEL) platform that enables direct screening of over half a million small molecules in a single experiment.

It is hoped that simulations of molecules and materials will provide a near-term application of quantum computers. A study of the performance of error mitigation highlights the obstacles to scaling up these calculations to practically useful sizes.

Human transplantation with allogeneic donor organs results in non-matching of MHC and differential presentation of T cell antigens. Here the authors show that in a lung transplanted SARS-CoV-2 infected patient T cell responses generated from the host may not be able to recognise infected cells within the graft and this may contribute to virus persistence.

Late-stage functionalization of complex drug molecules is challenging. To address this problem, a discovery platform based on geometric deep learning and high-throughput experimentation was developed. The computational model predicts binary reaction outcome, reaction yield and regioselectivity with low error margins, enabling the functionalization of complex molecules without de novo synthesis.

Meta-analysis of genome-wide association studies on Alzheimer’s disease and related dementias identifies new loci and enables generation of a new genetic risk score associated with the risk of future Alzheimer’s disease and dementia.

Using multi-ancestry genome-wide association study and fine-mapping, 298 loci and 36 credible genes are identified in the aetiology of bipolar disorder.

Large genome-wide meta-analysis of clinically diagnosed late-onset Alzheimer’s disease (LOAD) from 94,437 individuals identifies new LOAD risk loci and implicates Aβ formation, tau protein binding, immune response and lipid metabolism.

Oat consumption, particularly a short-term, high-dose oat diet, improves metabolic health in individuals with metabolic syndrome by increasing microbially produced phenolic metabolites, leading to lower blood cholesterol levels.