Results 91 to 100 of about 407,487 (268)
Low expression of five purine metabolism‐related genes (ADSL, APRT, ADCY3, NME3, NME6) was correlated with poor survival in colorectal cancer. Immunohistochemistry analysis showed that low NME3 (early stage) and low ADSL/NME6 (late stage) levels were associated with high risk.
Sungyeon Kim+8 more
wiley +1 more source
MIF as an oncogenic driver of low‐heterogeneity melanomas
Shvefel and colleagues identified tumor‐secreted macrophage migration inhibitory factor (MIF) as an upregulated cytokine that mediates immune resistance in melanomas with low‐intratumoral heterogeneity. MIF and its functional paralogue D‐dopachrome tautomerase (D‐DT or MIF‐2) have overlapping but nonidentical signaling functions and are hypothesized to
Thuy T. Tran+4 more
wiley +1 more source
Ubiquitination of transcription factors in cancer: unveiling therapeutic potential
In cancer, dysregulated ubiquitination of transcription factors contributes to the uncontrolled growth and survival characteristics of tumors. Tumor suppressors are degraded by aberrant ubiquitination, or oncogenic transcription factors gain stability through ubiquitination, thereby promoting tumorigenesis.
Dongha Kim, Hye Jin Nam, Sung Hee Baek
wiley +1 more source
Determination of ADP/ATP translocase isoform ratios in malignancy and cellular senescence
The individual functions of three isoforms exchanging ADP and ATP (ADP/ATP translocases; ANTs) on the mitochondrial membrane remain unclear. We developed a method for quantitatively differentiating highly similar human ANT1, ANT2, and ANT3 using parallel reaction monitoring. This method allowed us to assess changes in translocase levels during cellular
Zuzana Liblova+18 more
wiley +1 more source
Izabella Uchmanowicz,1 Beata Jankowska-Polańska,1 Maria Łoboz-Rudnicka,2 Stanislaw Manulik,3 Krystyna Łoboz-Grudzień,1,2 Robbert JJ Gobbens4 1Department of Clinical Nursing, Wroclaw Medical University, 2Department of Cardiology, T Marciniak Memorial ...
Uchmanowicz I+5 more
doaj
Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models [PDF]
Aligning Large Language Models (LLMs) with human preferences is crucial for their deployment in real-world applications. Recent advancements in Self-Rewarding Language Models suggest that an LLM can use its internal reward models (such as LLM-as-a-Judge) \cite{yuanself} to generate preference data, improving alignment performance without costly human ...
arxiv
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu+12 more
wiley +1 more source
Background: Religion/religiosity plays an important role in the lives of most Indians. However, there are lack of validated instruments in regional languages to assess the various dimensions of religiosity in the Indian population. This limits evaluation
Sandeep Grover, Devakshi Dua
doaj +1 more source
NILE: Internal Consistency Alignment in Large Language Models [PDF]
As a crucial step to enhance LLMs alignment with human intentions, Instruction Fine-Tuning (IFT) has a high demand on dataset quality. However, existing IFT datasets often contain knowledge that is inconsistent with LLMs' internal knowledge learned from the pre-training phase, which can greatly affect the efficacy of IFT.
arxiv
Osimertinib reduces angiogenesis and PDL1 expression in in ovo tumors, transforming them into ‘cold tumors’ with lower immune activity. Anatomopathological and transcriptomic analyses highlight its therapeutic impact on tumor biology. This study underscores osimertinib's potential to reshape the tumor microenvironment and provides insights into its ...
David Barthélémy+14 more
wiley +1 more source