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「Carcinogenesis[Journal]」の検索結果

12266件中 121件~140件表示    検索結果をPubMedで見る PubMedで見る

ROS control in human iPS cells reveals early events in spontaneous carcinogenesis.

Downregulation of RalGTPase-activating protein promotes invasion of prostatic epithelial cells and progression from intraepithelial neoplasia to cancer during prostate carcinogenesis.

Genome-wide copy number variation analysis identified ANO1 as a novel oncogene and prognostic biomarker in esophageal squamous cell cancer.

Autophagy inhibition as a promising therapeutic target for laryngeal cancer.

The metastatic phenotype shift towards myofibroblast of adipose-derived mesenchymal stem cells promotes ovarian cancer progression.

Oncogenic ERBB2 Aberrations and KRAS Mutations Cooperate to Promote Pancreatic Ductal Adenocarcinoma Progression.

Intraductal fulvestrant for Therapy of ERα-positive Ductal Carcinoma in Situ (DCIS) of the breast- a Preclinical Study.

The ubiquitinase ZFP91 promotes tumor cell survival and confers chemoresistance through FOXA1 destabilization.

Whole-genome sequencing of human malignant mesothelioma tumours and cell lines.

Retraction: Targeting the Warburg effect with a novel glucose transporter inhibitor to overcome gemcitabine resistance in pancreatic cancer cells.

SMYD3 promotes epithelial ovarian cancer metastasis by down-regulating p53 protein stability and promoting p53 ubiquitination.

Circulating obesity-driven biomarkers are associated with risk of clear cell renal cell carcinoma: a two-stage, case-control study.

circRAD18 sponges miR-208a/3164 to promote triple-negative breast cancer progression through regulating IGF1 and FGF2 expression.

Phospho-valproic acid (MDC-1112) suppresses glioblastoma growth in preclinical models through the inhibition of STAT3 phosphorylation.

β-hCG induced mutant BRCA1 ignites drug resistance in susceptible breast tissue.

ARHGAP4 regulates the cell migration and invasion of pancreatic cancer by the HDAC2/β-catenin signaling pathway.

Cellular shear stiffness reflects progression of arsenic-induced transformation during G1.

A deep learning model based on sparse auto-encoder for prioritizing cancer-related genes and drug target combinations.

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