Results 201 to 210 of about 2,684,188 (268)

FGFR Like1 drives esophageal cancer progression via EMT, PI3K/Akt, and notch signalling: insights from clinical data and next‐generation sequencing analysis

FEBS Open Bio, EarlyView.
Clinical analysis reveals significant dysregulation of FGFRL1 in esophageal cancer (EC) patients. RNAi‐coupled next‐generation sequencing (NGS) and in vitro study reveal FGFRL1‐mediated EC progression via EMT, PI3K/Akt, and Notch pathways. Functional assays confirm its role in tumor growth, migration, and invasion.
Aprajita Srivastava, Anoop Saraya, Deepak Gunjan, Rinu Sharma   +3 more
wiley   +1 more source

KLK7 overexpression promotes an aggressive phenotype and facilitates peritoneal dissemination in colorectal cancer cells

FEBS Open Bio, EarlyView.
KLK7, a tissue kallikrein‐related peptidase, is elevated in advanced colorectal cancer and associated with shorter survival. High KLK7 levels in ascites correlate with peritoneal metastasis. In mice, KLK7 overexpression increases metastasis. In vitro, KLK7 enhances cancer cell proliferation, migration, adhesion, and spheroid formation, driving ...
Yosr Z. Haffani, Tobias Dreyer, Meriem Naim, Rea Lo Dico, Natalia A. Ignatenko, Viktor Magdolen, Dalila Darmoul   +6 more
wiley   +1 more source

Deep learning for adaptive chemotherapy: A DDPG-based approach to optimizing tumor-immune dynamics. [PDF]

PLoS One
Zhu W, Zhu M, Wang W, Xu L, Wu J, Li W, Ma R, Cao L.   +7 more
europepmc   +1 more source

Domain associated with zinc fingers‐containing NF90‐NF45 complex inhibits m6A modification of primary microRNA by suppressing METTL3/14 activity

FEBS Open Bio, EarlyView.
NF90–NF45 functions as a negative regulator of methyltransferase‐like 3/14 (METTL3/14)‐mediated N6‐methyladenosine (m6A) modification on primary microRNAs (pri‐miRNAs). NF90–NF45 binds to anti‐oncogenic pri‐miRNAs and inhibits their m6A modification, thereby suppressing the biogenesis of anti‐oncogenic miRNAs.
Takuma Higuchi, Shunsuke Morioka, Keiko Morisawa, Kazutsugu Matsukawa, Shingo Ashida, Takeshi Suzuki, Shuji Sakamoto   +6 more
wiley   +1 more source

Deep Learning for Automated Tumor Segmentation of Rectal Cancer on T2-Weighted Magnetic Resonance Images. [PDF]

Yonsei Med J
Seo M, Lee Y, You MW.
europepmc   +1 more source

dUTPase is essential in zebrafish development and possesses several single‐nucleotide variants with pronounced structural and functional consequences

FEBS Open Bio, EarlyView.
dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon, Angéla Békesi, Latifa Kazzazy, Jázmin Mihály, Máté Varga, Beáta G. Vértessy, Kinga Nyíri   +6 more
wiley   +1 more source

Cancer in transition: discovery of tumor-intrinsic transcriptional programs shaping the immune and microenvironmental landscape. [PDF]

Biomark Res
Spitschak A, Casalegno Garduño R, Pützer BM.   +2 more
europepmc   +1 more source

Anticancer sensitivities and biological characteristics of HCT116 cells resistant to the selective poly(ADP‐ribose) glycohydrolase inhibitor

FEBS Open Bio, EarlyView.
We analyzed alterations of PAR metabolism‐related proteins in PARG inhibitor‐resistant HCT116RPDD cells. Although PARG levels remained unchanged, HCT116RPDD cells exhibited reduced PARP1 and ARH3 expression and elevated PAR levels. Interestingly, HCT116RPDD cells exhibited slightly elevated intracellular NAD+/NADH and ATP levels. Our findings suggest a
Kaede Tsuda, Yoko Ogino, Akira Sato
wiley   +1 more source

Combined administration of interleukin-2 and 18 with anti-PD-L1 antibody induces CCL5-positive CD8 T cells to suppress liver tumors. [PDF]

PNAS Nexus
Kimura M, Yamaji K, Harada K, Kawaji H, Imamura J, Okamura H, Tanaka Y, Kohara M, Kimura K.   +8 more
europepmc   +1 more source

Deep Learning-Based Tumor Cell Classification in Lung Adenocarcinoma With a Case-by-Case Human-in-the-Loop Approach. [PDF]

APMIS
Stampe M, Klausen P, Christiansen IS, Rift CV, Koffeldt PR, Hartvig R, Santoni-Rugiu E, Jensen THL.   +7 more
europepmc   +1 more source