LncRNA mediated metabolic reprogramming: the chief culprits of solid tumor malignant progression: an update review.

Metabolism reprogramming (MR) is one of the top ten hallmarks of malignant tumors. The aberrant activation of MR has been recognized as a critical contributory factor to the malignant progression of solid tumors. Moreover, various long non-coding RNAs (lncRNAs) are implicated in the aberrant activation of MR in solid tumor cells.

Fear of the Cancer Coming Back: A Metasynthesis of Fear of Recurrence in Breast Cancer.

Objective: This review aimed to consolidate existing knowledge on this phenomenon by incorporating direct testimonies from individuals who have experienced breast cancer.

Methods: A thorough metasynthesis of qualitative studies was conducted. English articles published prior to September 18 2023 were searched from eight databases, including PubMed, Cochrane Library, Web of Science, Embase, the Chinese biomedical literature service system, the China National Knowledge Infrastructure, the Wanfang Database, and the Wipu Database.

Nanoparticles and bone microenvironment: a comprehensive review for malignant bone tumor diagnosis and treatment.

Malignant bone tumors, which are difficult to treat with current clinical strategies, originate from bone tissues and can be classified into primary and secondary types. Due to the specificity of the bone microenvironment, the results of traditional means of treating bone tumors are often unsatisfactory, so there is an urgent need to develop new treatments for malignant bone tumors. Recently, nanoparticle-based approaches have shown great potential in diagnosis and treatment.

Gas immnuo-nanomedicines fight cancers.

Certain gas molecules, including hydrogen (H), nitric oxide (NO), carbon monoxide (CO), hydrogen sulfide (HS), oxygen (O) and sulfur dioxide (SO) exhibit significant biological functionalities that can modulate the immune response. Strategies pertaining to gas-based immune therapy have garnered considerable attention in recent years. Nevertheless, delivering various gas molecules precisely into tumors, which leads to enhanced anti-tumor immunotherapeutic effect, is still a main challenge.

Host RNA N-methyladenosine and incoming DNA N-methyldeoxyadenosine modifications cooperatively elevate the condensation potential of DNA to activate immune surveillance.

Self-non-self discrimination is fundamental to life, thereby even microbes can apply DNA modifications to recognize non-self DNA. However, mammalian cytosolic DNA sensors indiscriminately bind DNA, necessitating specific mechanism(s) for self-non-self discrimination. Here, we show that mammalian RNA N-methyladenosine (m6A) and incoming DNA N-methyldeoxyadenosine (6mdA) cooperatively elevate the condensation potential of DNA to activate immunosurveillance.

Elevated α/β ratio after hypofractionated radiotherapy correlated with DNA damage repairment in an experimental model of prostate cancer.

Our previous study demonstrated that the linear quadratic model appeared to be not well-suited for high dose per fraction due to an observed increase in α/β ratio as the dose per fraction increased. To further validate this conclusion, we draw the cell survival curve to calculate the α/β ratio by the clone formation experiment and then convert the fractionated radiation dose into an equivalent single hypofractionated radiation dose comparing with that on the survival curve. Western Blot and laser confocal immunofluorescence were used to detect the expression of γ-H2AX and RAD51 after different fractionated modes of radiation.

Nomogram for the Pathological Complete Response After Neoadjuvant Chemotherapy in Muscle-Invasive Bladder Cancer Patients.

Background: No validated instrument currently exists to predict neoadjuvant chemotherapy (NAC) response in muscle-invasive bladder cancer (MIBC) patients. We aim to develop and validate a nomogram based on clinicopathological factors for predicting who would benefit most from NAC.

Methods: Between January 2016 and April 2023, 361 consecutive MIBC patients treated with NAC were enrolled in the study.

Non-Invasive On-Off Fluorescent Biosensor for Endothelial Cell Detection.

For rapid and convenient detection of living endothelial cells (ECs) specifically without immunostaining, we developed a biosensor based on turn-on fluorescent protein, named LV-EcpG. It includes a high-affinity peptide E12P obtained through phage display technology for specifically recognizing ECs and a turn-on EGFP fused with two linker peptides. The "on-off" switching mechanism of this genetically encoded fluorescent protein-based biosensor (FPB) ensured that fluorescence signals were activated only when binding with ECs, thus enabling these FPB characters for direct, visual, and non-invasive detection of ECs.

Phase II study of enlonstobart (SG001), a novel PD-1 inhibitor in patients with PD-L1 positive recurrent/metastatic cervical cancer.

Background: Platinum-based chemotherapy with or without bevacizumab is the first-line treatment for patients with recurrent or metastatic cervical cancer (r/mCC), and the treatment options are limited for r/mCC after first-line treatment. Enlonstobart (SG001) is a fully humanized and high-affinity anti-PD-1 immunoglobulin G4 monoclonal antibody. Previous phase Ib study demonstrated that SG001 had a promising efficacy in patients with PD-L1 positive r/mCC.

FOXF2 suppressed esophageal squamous cell carcinoma by reducing M2 TAMs via modulating RNF144A-FTO axis.

Esophageal squamous cell carcinoma (ESCC) is one of the deadliest cancers because of its high invasiveness and low survival. Tumor-associated macrophages (TAMs) are closely associated with the tumor cell proliferation, metastasis and immunosuppression. As a member of the FOX family, forkhead box F2 (FOXF2) was down-regulated in ESCC.

Mechanism and Application Prospects of NLRC3 Regulating cGAS-STING Pathway in Lung Cancer Immunotherapy.

NLRC3, a negative regulator, exhibits considerable potential in the realm of lung cancer immunotherapy by virtue of its profound impact on the immune response intensity, primarily through its regulatory effects on the cGAS-STING pathway. The inhibition of NLRC3 has been found to augment the activity of the aforementioned pathway, thereby enhancing the anti-tumor immune response. This comprehensive review endeavors to elucidate the molecular and genetic structures of NLRC3, its role within the immune system, and its interaction with the cGAS-STING pathway, with a particular emphasis on its potential applications in lung cancer immunotherapy.

Metabolism: an important player in glioma survival and development.

Gliomas are malignant tumors originating from both neuroglial cells and neural stem cells. The involvement of neural stem cells contributes to the tumor's heterogeneity, affecting its metabolic features, development, and response to therapy. This review provides a brief introduction to the importance of metabolism in gliomas before systematically categorizing them into specific groups based on their histological and molecular genetic markers.

Thioredoxin reductase inhibition and glutathione depletion mediated by glaucocalyxin A promote intracellular disulfide stress in gastric cancer cells.

Thioredoxin reductase 1 (TXNRD1) has been identified as one of the promising chemotherapeutic targets in cancer cells. Therefore, a novel TXNRD1 inhibitor could accelerate chemotherapy in clinical anticancer research. In this study, glaucocalyxin A (GlauA), a natural diterpene extracted from Rabdosia japonica var.

Long-Term Stable and Multifeature Microfluidic Impedance Flow Cytometry Based on a Constricted Channel for Single-Cell Mechanical Phenotyping.

The microfluidic impedance flow cytometer (m-IFC) using constricted microchannels is an appealing choice for the high-throughput measurement of single-cell mechanical properties. However, channels smaller than the cells are susceptible to irreversible blockage, extremely affecting the stability of the system and the throughput. Meanwhile, the common practice of extracting a single quantitative index, i.

Reconstructing tumor clonal heterogeneity and evolutionary relationships based on tumor DNA sequencing data.

The heterogeneity of tumor clones drives the selection and evolution of distinct tumor cell populations, resulting in an intricate and dynamic tumor evolution process. While tumor bulk DNA sequencing helps elucidate intratumor heterogeneity, challenges such as the misidentification of mutation multiplicity due to copy number variations and uncertainties in the reconstruction process hinder the accurate inference of tumor evolution. In this study, we introduce a novel approach, REconstructing Tumor Clonal Heterogeneity and Evolutionary Relationships (RETCHER), which characterizes more realistic cancer cell fractions by accurately identifying mutation multiplicity while considering uncertainty during the reconstruction process and the credibility and reasonableness of subclone clustering.

Enrichment and separation technology for evaluation of circulating tumor cells.

Circulating tumor cells (CTCs) are tumor cells that exist in human peripheral blood, which could spread to other tissues or organs via the blood circulation system and develop into metastatic foci, leading to tumor recurrence or metastasis in postoperative patients and thereby increasing the mortality of malignant tumor patients. Evaluation of CTC levels can be used for tumor metastasis prediction, prognosis evaluation, drug exploitation, individualized treatment, liquid biopsy, etc., which exhibit outstanding clinical application prospects.

Ranking attention multiple instance learning for lymph node metastasis prediction on multicenter cervical cancer MRI.

Purpose: In the current clinical diagnostic process, the gold standard for lymph node metastasis (LNM) diagnosis is histopathological examination following surgical lymphadenectomy. Developing a non-invasive and preoperative method for predicting LNM is necessary and holds significant clinical importance.

Methods: We develop a ranking attention multiple instance learning (RA-MIL) model that integrates convolutional neural networks (CNNs) and ranking attention pooling to diagnose LNM from T2 MRI.