Targeting autophagy plus high-dose CDK4/6 inhibitors in advanced HR+HER2- breast cancer: A phase 1b/2 trial.

Background: The unmet needs of managing patients with hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR+/HER2-) breast cancer who progress after cyclin-dependent kinase (CDK)4/6 inhibitor (CDK4/6i) treatment remain unclarified.

Methods: This was a phase 1b/2, single-arm, open-label study that enrolled 29 patients with HR+/HER2- breast cancer who experienced first-line palbociclib treatment failure. The primary endpoint was the incidence of dose-limiting toxicity (DLT).

Nanopore Sequencing as a Cutting-Edge Technology for Medulloblastoma Classification.

Background: Medulloblastoma (MB) is one of the most prevalent embryonal malignant brain tumors. Current classification organizes these tumors into four molecular subgroups (WNT, SHH, Group 3, and Group 4 MB). Recently, a comprehensive classification has been established, identifying numerous subtypes, some of which exhibit a poor prognosis.

Assessment of microvascular flow in human atherosclerotic carotid plaques using ultrasound localization microscopy.

Background: Neovascularisation of carotid plaques contributes to their vulnerability. Current imaging methods such as contrast-enhanced ultrasound (CEUS) usually lack the required spatial resolution and quantification capability for precise neovessels identification. We aimed at quantifying plaque vascularisation with ultrasound localization microscopy (ULM) and compared the results to histological analysis.

Interphase chromatin biophysics and mechanics: new perspectives and open questions.

The physical organization and properties of chromatin within the interphase nucleus are intimately linked to a wide range of functional DNA-based processes. In this context, interphase chromatin mechanics - that is, how chromatin, physically, responds to forces - is gaining increasing attention. Recent methodological advances for probing the force-response of chromatin in cellulo open new avenues for research, as well as new questions.

Intensity correlations in the Wigner representation.

We derive a compact expression for the second-order correlation function [Formula: see text] of a quantum state in terms of its Wigner function, thereby establishing a direct link between [Formula: see text] and the state's shape in phase space. We conduct an experiment that simultaneously measures [Formula: see text] through direct photocounting and reconstructs the Wigner function via homodyne tomography. The results confirm our theoretical predictions.

From Inverse-Cascade to Subdiffusive Dynamic Scaling in Driven Disordered Bose Fluids.

We explore the emergence of universal dynamic scaling in an interacting Bose gas around the condensation transition, under the combined influence of an external driving force and spatial disorder. As time progresses, we find that the Bose gas crosses over three distinct dynamical regimes: (i) an inverse turbulent cascade where interactions dominate the drive, (ii) a stationary regime where the inverse cascade and the drive counterbalance one other, and (iii) a sub-diffusive cascade in energy space governed by the drive and disorder, a phenomenon recently observed experimentally. We show that all three dynamical regimes can be described by self-similar scaling laws.

Deconstruction of a memory engram reveals distinct ensembles recruited at learning.

How are associative memories formed? Which cells represent a memory, and when are they engaged? By visualizing and tagging cells based on their calcium influx with unparalleled temporal precision, we identified non-overlapping dorsal CA1 neuronal ensembles that are differentially active during associative fear memory acquisition. We dissected the acquisition experience into periods during which salient stimuli were presented or certain mouse behaviors occurred and found that cells associated with specific acquisition periods are sufficient alone to drive memory expression and contribute to fear engram formation. This study delineated the different identities of the cell ensembles active during learning, and revealed, for the first time, which ones form the core engram and are essential for memory formation and recall.

High diversity of crustose coralline algae microbiomes across species and islands, and implications for coral recruits.

Background: Crustose Coralline Algae (CCA) play a crucial role in coral reef ecosystems, contributing significantly to reef formation and serving as substrates for coral recruitment. The microbiome associated with CCAs may promote coral recruitment, yet these microbial communities remain largely understudied. This study investigates the microbial communities associated with a large number of different CCA species across six different islands of French Polynesia, and assess their potential influence on the microbiome of coral recruits.

Specific postural alignment alterations due to long-face deformity in patients with maxillo-mandibular deformities.

Background: A specific pathological postural adaptation is suspected in patients exhibiting maxillo-mandibular deformity (MMD); however, none study reported a correlation between facial dimensions and posture. In this study, we hypothesized that pathological postural adaptations are related to long-face deformity and subsequent oral breathing in patients with MMD METHODS: Thirty patients with MMD and 20 healthy subjects. Breathing mode, postural alignment and cephalometry were analyzed through a biplanar X-ray (EOS imaging®) of the skeleton in an upright position, followed by three-dimensional reconstruction.

IDclust: Iterative clustering for unsupervised identification of cell types with single cell transcriptomics and epigenomics.

The increasing diversity of single-cell datasets require systematic cell type characterization. Clustering is a critical step in single-cell analysis, heavily influencing downstream analyses. However, current unsupervised clustering algorithms rely on biologically irrelevant parameters that require manual optimization and fail to capture hierarchical relationships between clusters.

Thermoresponsive gel embedding extracellular vesicles from adipose stromal cells improves the healing of colonic anastomoses following irradiation in rats.

Anastomotic leak occurrence is a severe complication after colorectal surgery. Considering the difficulty of treating these leaks and their impact on patient care, there is a strong need for an efficient prevention strategy. We evaluated a combination of extracellular vesicles (EVs) from rat adipose-derived stromal cells with a thermoresponsive gel, Pluronic® F127 (PF-127) to prevent anastomotic leaks.

Mechanical induction in metazoan development and evolution: from earliest multi-cellular organisms to modern animal embryos.

The development and origin of animal body forms have long been intensely explored, from the analysis of morphological traits during antiquity to Newtonian mechanical conceptions of morphogenesis. Advent of molecular biology then focused most interests on the biochemical patterning and genetic regulation of embryonic development. Today, a view is arising of development of multicellular living forms as a phenomenon emerging from non-hierarchical, reciprocal mechanical and mechanotransductive interactions between biochemical patterning and biomechanical morphogenesis.

[A 2024 inventory in oncology news].

The editorial board of the Bulletin du Cancer has compiled a summary of the news from 2024 in oncology, based on the main results presented at international congresses or published over the past year. After a year marked by the success of the Olympic Games, the selection of data is presented and discussed in podiums of three main results by topic. Emphasis is placed on studies that have an immediate impact on practice and on data that raise important questions for the year 2025.

Combining dosiomics and machine learning methods for predicting severe cardiac diseases in childhood cancer survivors: the French Childhood Cancer Survivor Study.

Background: Cardiac disease (CD) is a primary long-term diagnosed pathology among childhood cancer survivors. Dosiomics (radiomics extracted from the dose distribution) have received attention in the past few years to assess better the induced risk of radiotherapy (RT) than standard dosimetric features such as dose-volume indicators. Hence, using the spatial information contained in the dosiomics features with machine learning methods may improve the prediction of CD.

Improving the generalizability of white blood cell classification with few-shot domain adaptation.

The morphological classification of nucleated blood cells is fundamental for the diagnosis of hematological diseases. Many Deep Learning algorithms have been implemented to automatize this classification task, but most of the time they fail to classify images coming from different sources. This is known as "domain shift".

Characterization of an Activated Metabolic Transcriptional Program in Hepatoblastoma Tumor Cells Using scRNA-seq.

Hepatoblastoma is the most common primary liver malignancy in children, with metabolic reprogramming playing a critical role in its progression due to the liver's intrinsic metabolic functions. Enhanced glycolysis, glutaminolysis, and fatty acid synthesis have been implicated in hepatoblastoma cell proliferation and survival. In this study, we screened for altered overexpression of metabolic enzymes in hepatoblastoma tumors at tissue and single-cell levels, establishing and validating a hepatoblastoma tumor expression metabolic score using machine learning.

Challenges for the Implementation of Primary Standard Dosimetry in Proton Minibeam Radiation Therapy.

: Spatial fractionation of proton fields as sub-millimeter beamlets to treat cancer has shown better sparing of healthy tissue whilst maintaining the same tumor control. It is critical to ensure primary standard dosimetry is accurate and ready to support the modality's clinical implementation. : This work provided a proof-of-concept, using the National Physical Laboratory's Primary Standard Proton Calorimeter (PSPC) to measure average absorbed dose-to-water in a pMBRT field.

Simultaneous 2-photon and 3-photon excitation with a red fluorescent protein-cyanine dye probe pair in the 1700-nm excitation window for deep neurovascular imaging.

imaging of the neurovascular network is considered to be one of the most powerful approaches for understanding brain functionality. Nevertheless, simultaneously imaging the biological neural network and blood vessels in deep brain layers in a non-invasive manner remains to a major challenge due to the lack of appropriate labeling fluorescence probe pairs. Herein, we proposed a 2-photon and 3-photon fluorescence probe pair for neurovascular imaging.

[The new generations of CAR-T cells].

Chimeric antigen receptor (CAR)-T is one of the most promising modern cancer immunotherapies. In the recent years, impressive results have been obtained in the treatment of cancer which led to FDA approval for the treatment of liquid tumors. In this cell-based therapy, immune cells (e.

Transposable element exonization generates a reservoir of evolving and functional protein isoforms.

Alternative splicing enhances protein diversity in different ways, including through exonization of transposable elements (TEs). Recent transcriptomic analyses identified thousands of unannotated spliced transcripts with exonizing TEs, but their contribution to the proteome and biological relevance remains unclear. Here, we use transcriptome assembly, ribosome profiling, and proteomics to describe a population of 1,227 unannotated TE exonizing isoforms generated by mRNA splicing and recurrent in human populations.

Strain phylogroup and environmental constraints shape Escherichia coli dynamics and diversity over a twenty-year human gut time series.

Escherichia coli is an increasingly antibiotic-resistant opportunistic pathogen. Few data are available on its ecological and evolutionary dynamics in its primary commensal niche, the vertebrate gut. Using Illumina and/or Nanopore technologies, we sequenced whole genomes of 210 E.

Widespread presence of metallic compounds and organic contaminants across Pacific coral reef fish.

Coral reef fishes represent an invaluable source of macro- and micro-nutrients for tropical coastal populations. However, several potentially toxic compounds may jeopardize their contribution to food security. Concentrations of metallic compounds and trace elements (MTEs), and persistent organic pollutants (POPs, including pesticides and polychlorobiphenyls PCBs), totalizing 36 contaminants, were measured in coral reef fish from several Pacific islands.