Early and noninvasive prediction of response to neoadjuvant therapy for breast cancer via longitudinal ultrasound and MR deep learning: A multicentre study.

Rationale And Objectives: The early prediction of response to neoadjuvant chemotherapy (NAC) will aid in the development of personalized treatments for patients with breast cancer. This study investigated the value of longitudinal multimodal deep learning (DL) based on breast MR and ultrasound (US) in predicting pathological complete response (pCR) after NAC.

Materials And Methods: We retrospectively reviewed the pre-NAC and post-2nd-NAC MR and/or US images of 448 patients enrolled from three centers and extracted DL features from the largest section of the breast tumour using ResNet50.

Constructing a Classification Model for Cervical Cancer Tumor Tissue and Normal Tissue Based on CT Radiomics.

This study aimed to develop an automated classification framework for distinguishing between cervical cancer tumor and normal uterine tissue, leveraging CT images for radiomics feature extraction. We retrospectively analyzed CT images from 117 cervical cancer patients. To distinguish between cancerous and healthy tissue, we segmented gross tumor volume and normal uterine tissue as distinct regions of interest (ROIs) using manual segmentation techniques.

miR-630 as a therapeutic target in pancreatic cancer stem cells: modulation of the PRKCI-Hedgehog signaling axis.

Background: MicroRNAs (miRNAs) are critical regulators of cancer progression, prompting our investigation into the specific function of miR-630 in pancreatic cancer stem cells (PCSCs). Analysis of miRNA and mRNA expression data in PCSCs revealed downregulation of miR-630 and upregulation of PRKCI, implying a potential role for miR-630 in PCSC function and tumorigenicity.

Results: Functional assays confirmed that miR-630 directly targets PRKCI, leading to the suppression of the Hedgehog signaling pathway and consequent inhibition of PCSC self-renewal and tumorigenicity in murine models.

Which is the safer option for adult patients between peripherally inserted central catheters and midline catheters: a meta-analysis.

Background: Peripherally inserted central catheters (PICC) and midline catheters (MC) are widely used for intravenous infusions in oncology and critically ill patients. However, controversy remains regarding which method is superior. This meta-analysis systematically compares the safety differences between these 2 methods of intravenous catheterization.

Research progress and development strategy of PI3K inhibitors for breast cancer treatment: A review (2016-present).

Phosphatidylinositol 3-kinases (PI3Ks) are widely expressed in tissues and cells throughout the body and are involved in a variety of physiological processes including cell growth and metabolism. The phosphoinositide-3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of the rapamycin (mTOR) signaling pathway (PI3K/AKT/mTOR, PAM) is a promising target for the treatment of many cancer types because it is significantly linked to tumorigenesis and development. Aberrant activation of this pathway is observed in the majority of tumors, particularly in breast cancer.

Improvement of plan quality in whole-breast radiation following BCS using feasibility DVH by less-experienced planners.

Variability in plan quality of radiotherapy is commonly attributed to the planner's skill rather than technological parameters. While experienced planners can set reasonable parameters before optimization, less experienced planners face challenges. This study aimed to assess the quality of volumetric-modulated arc therapy (VMAT) in patients with left-sided breast cancer following breast-conserving surgery.

Uninvolved liver dose prediction in stereotactic body radiation therapy for liver cancer based on the neural network method.

Background: The quality of a radiotherapy plan often depends on the knowledge and expertise of the plan designers.

Aim: To predict the uninvolved liver dose in stereotactic body radiotherapy (SBRT) for liver cancer using a neural network-based method.

Methods: A total of 114 SBRT plans for liver cancer were used to test the neural network method.

Unraveling the Role of Contaminants Reshaping the Microflora in Zea mays Seeds from Heavy Metal-Contaminated and Pristine Environment.

Heavy metal (HM) contaminants are the emerging driving force for reshaping the microflora of plants by eradicating the non-tolerance and non-resistant microbes via their lethal effects. Seeds served as a prime source of ancestral microbial diversity hereditary transfer from generation to generation. However, the problem arises when they got exposed to metal contamination, does metal pollutant disrupt the delicate balance of microbial communities within seeds and lead to shifts in their microflora across generations.

The contribution of the novel CLTC-VMP1 fusion gene to autophagy regulation and energy metabolism in cisplatin-resistant osteosarcoma.

Osteosarcoma (OS) is a highly malignant tumor, and chemotherapy resistance is a major challenge in the treatment of this disease. This study aims to explore the role of the CLTC-VMP1 gene fusion in the mechanism of chemotherapy resistance in OS and investigate its molecular mechanisms in mediating energy metabolism reprogramming by regulating autophagy and apoptosis balance. Using single-cell transcriptome analysis, the heterogeneity of OS cells and their correlation with resistance to platinum drugs were revealed.

Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellular carcinoma.

Background: Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. Anoikis and ErbB signaling pathways are pivotal in cancer cell proliferation and metastasis, but their relevance in HCC remains insufficiently explored.

Methods: This study evaluates the prognostic significance of anoikis and ErbB signaling pathways in HCC by utilizing data from The Cancer Genome Atlas (TCGA), the International Cancer Genome Consortium (ICGC), three additional independent validation cohorts, and an in-house cohort.

FOS-Mediated PLCB1 Induces Radioresistance and Weakens the Antitumor Effects of CD8 T Cells in Triple-Negative Breast Cancer.

Radioresistance and immune evasion are interactive and crucial events leading to treatment failure and progression of human malignancies. This research studies the role of phospholipase C beta 1 (PLCB1) in these events in triple-negative breast cancer (TNBC) and the regulatory mechanism. PLCB1 was bioinformatically predicted as a dysregulated gene potentially linked to radioresistance in TNBC.

Isoquercitrin Inhibits Lung Cancer Cell Growth Through Triggering Pyroptosis and Ferroptosis.

Isoquercitrin possesses anti-tumor activity in several types of cancers, however, its effects and underlying mechanisms on lung cancer have not been reported. Human lung cancer cell lines as well as normal lung epithelial BEAS-2B cells were treated with isoquercitrin. The influences of isoquercitrin were evaluated by determining cell viability, apoptosis, pyroptosis, and ferroptosis.

The effect of m6A methyltransferase METTL3 mediated TMEM30A regulation on tumor energy metabolism and cisplatin anti-tumor activity in oral squamous cell carcinoma.

Aims: Cisplatin (CDDP) is still one of the most commonly used first-line treatments for advanced and recurrent oral squamous cell carcinoma (OSCC) patients in clinical practice. However, the decrease in tumor sensitivity to CDDP weakens its therapeutic effect. There is still limited research on the effect of METTL3-mediated methylation of m6A on CDDP sensitivity in OSCC.

FASN contributes to ADM resistance of diffuse large B-cell lymphoma by inhibiting ferroptosis via nf-κB/STAT3/GPX4 axis.

Drug resistance is a critical impediment to efficient therapy of diffuse large B-cell lymphoma (DLBCL) patients. Recent studies have highlighted the association between ferroptosis and drug resistance that has been reported. Fatty acid synthase (FASN) is always related to a poor prognosis.

NRF2 signaling plays an essential role in cancer progression through the NRF2-GPX2-NOTCH3 axis in head and neck squamous cell carcinoma.

The activation of nuclear factor erythroid 2-related factor 2 (NRF2) has been observed in various cancers. Yet its exact contribution to the development of head and neck squamous cell carcinoma (HNSCC) remains undetermined. We previously found that NRF2 signaling is critical for the differentiation of squamous basal progenitor cells, while disruption of NRF2 causes basal cell hyperplasia.

The Landscape of Research on Autologous Fat Grafting for Breast Reconstruction.

With increased breast cancer survival rates, the demand for breast reconstruction is rising. Autologous fat grafting (AFG) has gained popularity in breast reconstruction for its soft texture, low immune rejection, and easy accessibility. The hotspot burst analysis identified emerging burst hotspots: survival volume, surgical outcomes, and oncological safety.

Deciphering colorectal cancer radioresistance and immune microrenvironment: unraveling the role of EIF5A through single-cell RNA sequencing and machine learning.

Background: Radiotherapy (RT) is a critical component of treatment for locally advanced rectal cancer (LARC), though patient response varies significantly. The variability in treatment outcomes is partly due to the resistance conferred by cancer stem cells (CSCs) and tumor immune microenvironment (TiME). This study investigates the role of EIF5A in radiotherapy response and its impact on the CSCs and TiME.