Results 141 to 150 of about 608,278 (199)

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

FEBS Open Bio, EarlyView.
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik, Deniz Bakkalci, Alexander J. MacRobert, Umber Cheema   +3 more
wiley   +1 more source

Gene expression profiling, prognosis, and immune microenvironment of KLF4 in malignancies. [PDF]

PLoS One
Yu S, Qian L, Tong T, Ma X.
europepmc   +1 more source

Comparative single‐cell transcriptomic profiling of patient‐derived renal carcinoma cells in cellular and animal models of kidney cancer

FEBS Open Bio, EarlyView.
We generated and characterized clear cell renal cell carcinoma models using the patient‐derived RCC243 cell line—including cell culture, orthotopic, and metastatic tumors—via single‐cell RNA‐sequencing for comparisons between models and patient tumor datasets.
Richard Huang, Lynn Kee, Alexander Gont, Jalna Meens, Fraser G. Ferens, Meredith S. Irwin, Laurie Ailles, Scott A. Yuzwa, Claire M. Robinson, Michael Ohh   +9 more
wiley   +1 more source

Comparison of the clinical and prognostic characteristics of patients with different pathological types in acromegaly. [PDF]

Front Endocrinol (Lausanne)
Chong L, Lou Y, Chen X, Zhao W, Zhang W, Zhang Z, Yang F, Li P.   +7 more
europepmc   +1 more source

METTL3 knockout accelerates hepatocarcinogenesis via inhibiting endoplasmic reticulum stress response

FEBS Open Bio, EarlyView.
Liver‐specific knockout of N6‐methyladenosine (m6A) methyltransferase METTL3 significantly accelerated hepatic tumor initiation under various oncogenic challenges, contrary to the previously reported oncogenic role of METTL3 in liver cancer cell lines or xenograft models. Mechanistically, METTL3 deficiency reduced m6A deposition on Manf transcripts and
Bo Cui, Silin Tu, Haibo Li, Zhancheng Zeng, Ruiqi Xiao, Jing Guo, Xiaoqi Liang, Chang Liu, Lijie Pan, Wenjie Chen, Mian Ge, Xiaofen Zhong, Linsen Ye, Huaxin Chen, Qi Zhang, Yan Xu   +15 more
wiley   +1 more source

Prognostic and immunological role of RHEBL1 in pan-cancer: a target for survival and immunotherapy. [PDF]

Discov Oncol
Chen Y, Feng X, Yin X, Yi N, Zhao Y, Wang Q, Xing W, Ma C, Chen D.   +8 more
europepmc   +1 more source

Adenosine A3 receptor antagonists as anti‐tumor treatment in human prostate cancer: an in vitro study

FEBS Open Bio, EarlyView.
The A3 adenosine receptors (A3ARs) are overexpressed in prostate cancer. AR 292 and AR 357, as A3AR antagonists, are capable of blocking proliferation, modulating the expression of drug transporter genes involved in chemoresistance, ferroptosis, and the hypoxia response, and inducing cell death.
Maria Beatrice Morelli, Andrea Spinaci, Cui Chang, Rosaria Volpini, Catia Lambertucci, Matteo Landriscina, Vincenza Conteduca, Consuelo Amantini, Cristina Aguzzi, Laura Zeppa, Martina Giangrossi, Laura Soverchia, Matteo Santoni, Massimo Nabissi, Giorgio Santoni, Carlo Polidori   +15 more
wiley   +1 more source

Single-cell multimodal analysis reveals tumor microenvironment predictive of treatment response in non-small cell lung cancer. [PDF]

Sci Adv
Zheng Y, Sadée C, Ozawa M, Howitt BE, Gevaert O.   +4 more
europepmc   +1 more source

Possible role of human ribonuclease dicer in the regulation of R loops

FEBS Open Bio, EarlyView.
R loops play an important role in regulating key cellular processes such as replication, transcription, centromere stabilization, or control of telomere length. However, the unscheduled accumulation of R loops can cause many diseases, including cancer, and neurodegenerative or inflammatory disorders. Interestingly, accumulating data indicate a possible
Klaudia Wojcik, Paulina Krzeminska, Anna Kurzynska‐Kokorniak   +2 more
wiley   +1 more source

Automatic smart brain tumor classification and prediction system using deep learning. [PDF]

Sci Rep
Ishfaq QUA, Bibi R, Ali A, Jamil F, Saeed Y, Alnashwan RO, Chelloug SA, Muthanna MSA.   +7 more
europepmc   +1 more source