Lusby R, Demirdizen E, Inayatullah M, Kundu P, Maiques O, Zhang Z
Mol Cancer. 2025; 24(1):2.
PMID: 39748426
PMC: 11697158.
DOI: 10.1186/s12943-024-02182-w.
Yee K, Lee Y, Nguyen H, Chen M, Ni Y, Wu Y
Am J Cancer Res. 2024; 14(9):4353-4366.
PMID: 39417182
PMC: 11477818.
DOI: 10.62347/LUDE7524.
Mo W, Deng L, Cheng Y, Ge S, Wang J
J Cell Mol Med. 2024; 28(19):e70080.
PMID: 39351597
PMC: 11443158.
DOI: 10.1111/jcmm.70080.
Echeverria-Garces G, Ramos-Medina M, Gonzalez A, Vargas R, Cabrera-Andrade A, Armendariz-Castillo I
Heliyon. 2024; 10(17):e37488.
PMID: 39296198
PMC: 11409134.
DOI: 10.1016/j.heliyon.2024.e37488.
Karcini A, Mercier N, Lazar I
Front Pharmacol. 2024; 15:1413818.
PMID: 39268460
PMC: 11391243.
DOI: 10.3389/fphar.2024.1413818.
OligoM-Cancer: A multidimensional information platform for deep phenotyping of heterogenous oligometastatic cancer.
Wu R, Zong H, Feng W, Zhang K, Li J, Wu E
Comput Struct Biotechnol J. 2024; 24:561-570.
PMID: 39258239
PMC: 11385025.
DOI: 10.1016/j.csbj.2024.08.015.
WNT5A is a putative epi-driver of prostate cancer metastasis to the bone.
Wilkinson E, Raspin K, Malley R, Donovan S, Nott L, Holloway A
Cancer Med. 2024; 13(16):e70122.
PMID: 39164966
PMC: 11335815.
DOI: 10.1002/cam4.70122.
Analysis of miR-497/195 cluster identifies new therapeutic targets in cervical cancer.
Karunakara S, Eswaran S, Mallya S, Suresh P, Chakrabarty S, Kabekkodu S
BMC Res Notes. 2024; 17(1):217.
PMID: 39095857
PMC: 11297691.
DOI: 10.1186/s13104-024-06876-8.
Metastasis and basement membrane-related signature enhances hepatocellular carcinoma prognosis and diagnosis by integrating single-cell RNA sequencing analysis and immune microenvironment assessment.
Wei S, Tan J, Huang X, Zhuang K, Qiu W, Chen M
J Transl Med. 2024; 22(1):711.
PMID: 39085893
PMC: 11293133.
DOI: 10.1186/s12967-024-05493-0.
Comparison of the classifiers based on mRNA, microRNA and lncRNA expression and DNA methylation profiles for the tumor origin detection.
Feng Y, Wang Y
Front Genet. 2024; 15:1383852.
PMID: 38933920
PMC: 11199677.
DOI: 10.3389/fgene.2024.1383852.
Gastric cancer actionable genomic alterations across diverse populations worldwide and pharmacogenomics strategies based on precision oncology.
Echeverria-Garces G, Ramos-Medina M, Vargas R, Cabrera-Andrade A, Altamirano-Colina A, Freire M
Front Pharmacol. 2024; 15:1373007.
PMID: 38756376
PMC: 11096557.
DOI: 10.3389/fphar.2024.1373007.
Identification of potential biomarkers for bone metastasis using human cancer metastasis database.
Bhardwaj M, Sri T, Krupanidhi S, Singh S
Int J Health Sci (Qassim). 2024; 18(3):6-14.
PMID: 38721137
PMC: 11075445.
Proteomic Assessment of SKBR3/HER2+ Breast Cancer Cellular Response to Lapatinib and Investigational Ipatasertib Kinase Inhibitors.
Karcini A, Mercier N, Lazar I
bioRxiv. 2024; .
PMID: 38617302
PMC: 11014527.
DOI: 10.1101/2024.04.02.587656.
Development of an invasion score based on metastasis-related pathway activity profiles for identifying invasive molecular subtypes of lung adenocarcinoma.
Han T, Liu Y, Zhou J, Guo J, Xing Y, Xie J
Sci Rep. 2024; 14(1):1692.
PMID: 38243040
PMC: 10799059.
DOI: 10.1038/s41598-024-51681-9.
Identification of Breast Cancer Metastasis Markers from Gene Expression Profiles Using Machine Learning Approaches.
Jung J, Yoo S
Genes (Basel). 2023; 14(9).
PMID: 37761960
PMC: 10530902.
DOI: 10.3390/genes14091820.
Identifying New Contributors to Brain Metastasis in Lung Adenocarcinoma: A Transcriptomic Meta-Analysis.
Souza V, Forder A, Telkar N, Stewart G, Carvalho R, Mur L
Cancers (Basel). 2023; 15(18).
PMID: 37760494
PMC: 10526208.
DOI: 10.3390/cancers15184526.
Multidimensional computational study to understand non-coding RNA interactions in breast cancer metastasis.
Chakraborty S, Banerjee S
Sci Rep. 2023; 13(1):15771.
PMID: 37737288
PMC: 10516999.
DOI: 10.1038/s41598-023-42904-6.
Correlation of the tumor escape phenotype with loss of PRELP expression in melanoma.
Schafer H, Subbarayan K, Massa C, Vaxevanis C, Mueller A, Seliger B
J Transl Med. 2023; 21(1):643.
PMID: 37730606
PMC: 10512569.
DOI: 10.1186/s12967-023-04476-x.
Machine learning in metastatic cancer research: Potentials, possibilities, and prospects.
Petinrin O, Saeed F, Toseef M, Liu Z, Basurra S, Muyide I
Comput Struct Biotechnol J. 2023; 21:2454-2470.
PMID: 37077177
PMC: 10106342.
DOI: 10.1016/j.csbj.2023.03.046.
Imputation of single-cell transcriptome data enables the reconstruction of networks predictive of breast cancer metastasis.
Cha J, Lavi M, Kim J, Shomron N, Lee I
Comput Struct Biotechnol J. 2023; 21:2296-2304.
PMID: 37035549
PMC: 10073994.
DOI: 10.1016/j.csbj.2023.03.036.