2024
Pushing the Frontiers of Cancer Research: Highlights from the Frontiers in Cancer Science Conference 2023.
Lee Y, Chen L, Chew V, Chow E, Deng L, Hunziker W, Lee A, Leong G, Ngeow J, Pervaiz S, Sabapathy K, Skanderup A, Sundar R, Tay Y, Virshup D, Wong S, Tergaonkar V, Tam W. Pushing the Frontiers of Cancer Research: Highlights from the Frontiers in Cancer Science Conference 2023. Cancer Research 2024, 84: 1195-1198. PMID: 38616656, DOI: 10.1158/0008-5472.can-24-0721.Commentaries, Editorials and LettersPatient-Derived Models of Cancer in the NCI PDMC Consortium: Selection, Pitfalls, and Practical Recommendations
Habowski A, Budagavi D, Scherer S, Aurora A, Caligiuri G, Flynn W, Langer E, Brody J, Sears R, Foggetti G, Estape A, Nguyen D, Politi K, Shen X, Hsu D, Peehl D, Kurhanewicz J, Sriram R, Suarez M, Xiao S, Du Y, Li X, Navone N, Labanca E, Willey C. Patient-Derived Models of Cancer in the NCI PDMC Consortium: Selection, Pitfalls, and Practical Recommendations. Cancers 2024, 16: 565. PMID: 38339316, PMCID: PMC10854945, DOI: 10.3390/cancers16030565.Peer-Reviewed Original ResearchPatient-derived models of cancerPatient-derived modelsModels of cancerThe National Institutes of HealthCancer modelsNational Cancer Institute of the National Institutes of HealthPrecision medicine programsNational Institutes of HealthNational Cancer InstituteInstitutes of HealthPreclinical cancer modelsMedicine programsDivision of Cancer BiologyIn vitroIn vivo model systemsPractice recommendationsDevelopment of novel model systemsClinical practiceStudies of human pathologyNovel model systemsSeries of vignettesModel systemCancer therapeuticsCancer biologyCancerPassenger gene co-amplifications create collateral therapeutic vulnerabilities in cancer
Bei Y, Bramé L, Kirchner M, Fritsche-Guenther R, Kunz S, Bhattacharya A, Rusu M, Gürgen D, Dubios F, Köppke J, Proba J, Wittstruck N, Sidorova O, González R, Garcia H, Brückner L, Xu R, Giurgiu M, Rodriguez-Fos E, Yu Q, Spanjaard B, Koche R, Schmitt C, Schulte J, Eggert A, Haase K, Kirwan J, Hagemann A, Mertins P, Dörr J, Henssen A. Passenger gene co-amplifications create collateral therapeutic vulnerabilities in cancer. Cancer Discovery 2024, 14: 492-507. PMID: 38197697, PMCID: PMC10911929, DOI: 10.1158/2159-8290.cd-23-1189.Peer-Reviewed Original ResearchConceptsDEAD-box helicase 1Passenger genesTherapeutic vulnerabilitiesTricarboxylic acidCRISPR-Cas9 loss-of-function screensLoss-of-function screensCell death in vitroDisruption of mTORC1Death in vitroGene co-amplificationCancer cell linesCancer genomesHelicase 1Interaction partnersCancer dependenciesCollateral vulnerabilitiesTCA activityCo-amplificationDNA amplificationMTORC1 activityCancerPharmacological disruptionCancer biologyTarget discoveryCoamplification
2023
TERT Promoter Mutations Frequency Across Race, Sex, and Cancer Type
Zarif T, Machaalani M, Nawfal R, Nassar A, Xie W, Choueiri T, Pomerantz M. TERT Promoter Mutations Frequency Across Race, Sex, and Cancer Type. The Oncologist 2023, 29: 8-14. PMID: 37462445, PMCID: PMC10769781, DOI: 10.1093/oncolo/oyad208.Peer-Reviewed Original ResearchConceptsTelomerase reverse transcriptase promoter mutationHead and neck cancerTelomerase reverse transcriptaseTERT promoter mutationsPromoter mutationsTelomerase reverse transcriptase gene promoter mutationsClinical trialsWhite patientsCancer typesImmune checkpoint inhibitorsCheckpoint inhibitorsPatient self-reportAsian patientsNeck cancerThyroid cancerPatient selectionBlack patientsNext-generation sequencingPatientsObservational studyCancerCancer biologyMutation frequencyMelanomaReverse transcriptase
2022
Estimation of neutral mutation rates and quantification of somatic variant selection using canceffectsizeR
Mandell J, Cannataro V, Townsend J. Estimation of neutral mutation rates and quantification of somatic variant selection using canceffectsizeR. Cancer Research 2022, 83: 500-505. PMID: 36469362, PMCID: PMC9929515, DOI: 10.1158/0008-5472.can-22-1508.Peer-Reviewed Original ResearchConceptsMutation rateEpistatic effectsSite-specific mutation ratesNeutral mutation rateNucleotide mutation ratePan-cancer datasetCancer cell survivalFunctional impact scoresCustom genomesPairwise epistasisSet of variantsHuman genomeR packageTranscriptomic dataSomatic variant dataModel of selectionSingle nucleotideCancer effectsCell survivalNucleotide mutationsCancer biologyVariant dataMutational signature analysisMutationsSomatic mutationsPlacing human gene families into their evolutionary context
Dornburg A, Mallik R, Wang Z, Bernal M, Thompson B, Bruford E, Nebert D, Vasiliou V, Yohe L, Yoder J, Townsend J. Placing human gene families into their evolutionary context. Human Genomics 2022, 16: 56. PMID: 36369063, PMCID: PMC9652883, DOI: 10.1186/s40246-022-00429-5.Peer-Reviewed Original ResearchConceptsHuman gene familyGene familyHuman genomeEvolutionary contextGene family evolutionNon-model organismsFirst human genomeGenome biologyComparative genomicsFamily evolutionDistant speciesDraft sequenceGenomic studiesGene expressionGenome sequencingSequence complexityGenomeCancer biologyUnprecedented insightsNovel discoveriesCritical roleOrganismsBiologyComparative approachFamilyWhole-exome sequencing reveals damaging gene variants associated with hypoalphalipoproteinemia
Dong W, Wong KHY, Liu Y, Levy-Sakin M, Hung WC, Li M, Li B, Jin SC, Choi J, Lopez-Giraldez F, Vaka D, Poon A, Chu C, Lao R, Balamir M, Movsesyan I, Malloy MJ, Zhao H, Kwok PY, Kane JP, Lifton RP, Pullinger CR. Whole-exome sequencing reveals damaging gene variants associated with hypoalphalipoproteinemia. Journal Of Lipid Research 2022, 63: 100209. PMID: 35460704, PMCID: PMC9126845, DOI: 10.1016/j.jlr.2022.100209.Peer-Reviewed Original ResearchConceptsWhole-exome sequencingCandidate genesDamaging variantsGenome-wide association studiesGenome-wide significanceDamaging rare variantsCandidate gene listGene burden testingHDL-C levelsGene variantsGene listsAssociation studiesLDLR geneGenesBurden testingCancer biologySequencingFunction variantsABCA1Mean HDL-C levelsRare variantsDiscovery studiesCoronary heart diseaseHDL deficiencyRisk of cancerCancer Relevance of Human Genes
Qing T, Mohsen H, Cannataro VL, Marczyk M, Rozenblit M, Foldi J, Murray M, Townsend J, Kluger Y, Gerstein M, Pusztai L. Cancer Relevance of Human Genes. Journal Of The National Cancer Institute 2022, 114: 988-995. PMID: 35417011, PMCID: PMC9275765, DOI: 10.1093/jnci/djac068.Peer-Reviewed Original ResearchConceptsCore cancer genesHuman genesFunctional importanceSomatic mutation frequencySelection pressureGene/protein networksCancer genesHigher somatic mutation frequencyNegative selection pressureGene-gene interaction networksMutation frequencyProtein-truncating variantsGenomic contextCell viabilityGenes decreasesCancer Genome AtlasInteraction networksProtein networkCancer relevanceCancer cell viabilityCell survivalGenesCancer biologyGenome AtlasSearch tools
2021
The Coevolution of Placentation and Cancer
Wagner GP, Kshitiz, Dighe A, Levchenko A. The Coevolution of Placentation and Cancer. Annual Review Of Animal Biosciences 2021, 10: 1-21. PMID: 34780249, DOI: 10.1146/annurev-animal-020420-031544.Peer-Reviewed Original ResearchProstate cancer research in the 21st century; report from the 2021 Coffey‐Holden prostate cancer academy meeting
Miyahira A, Zarif J, Coombs C, Flavell R, Russo J, Zaidi S, Zhao D, Zhao S, Pienta K, Soule H. Prostate cancer research in the 21st century; report from the 2021 Coffey‐Holden prostate cancer academy meeting. The Prostate 2021, 82: 169-181. PMID: 34734426, PMCID: PMC8688282, DOI: 10.1002/pros.24262.Peer-Reviewed Original ResearchConceptsCoffey-Holden Prostate Cancer Academy MeetingCoffey-Holden Prostate Cancer AcademyProstate cancer researchProstate cancerMetastatic castration resistant prostate cancerCastration resistant prostate cancerResistant prostate cancerProstate cancer biologyProstate Cancer FoundationCancer researchAntitumor immunityCancer immunotherapyClonal hematopoiesisMediators of plasticityTumor microenvironmentTargeted therapyProstateCell plasticityCancer FoundationCancer biologyCancerSignaling pathwayCancer genomesSignaling biologyAcademy MeetingAn expanded universe of cancer targets
Hahn W, Bader J, Braun T, Califano A, Clemons P, Druker B, Ewald A, Fu H, Jagu S, Kemp C, Kim W, Kuo C, McManus M, B. Mills G, Mo X, Sahni N, Schreiber S, Talamas J, Tamayo P, Tyner J, Wagner B, Weiss W, Gerhard D, Dancik V, Gill S, Hua B, Sharifnia T, Viswanathan V, Zou Y, Dela Cruz F, Kung A, Stockwell B, Boehm J, Dempster J, Manguso R, Vazquez F, Cooper L, Du Y, Ivanov A, Lonial S, Moreno C, Niu Q, Owonikoko T, Ramalingam S, Reyna M, Zhou W, Grandori C, Shmulevich I, Swisher E, Cai J, Chan I, Dunworth M, Ge Y, Georgess D, Grasset E, Henriet E, Knútsdóttir H, Lerner M, Padmanaban V, Perrone M, Suhail Y, Tsehay Y, Warrier M, Morrow Q, Nechiporuk T, Long N, Saultz J, Kaempf A, Minnier J, Tognon C, Kurtz S, Agarwal A, Brown J, Watanabe-Smith K, Vu T, Jacob T, Yan Y, Robinson B, Lind E, Kosaka Y, Demir E, Estabrook J, Grzadkowski M, Nikolova O, Chen K, Deneen B, Liang H, Bassik M, Bhattacharya A, Brennan K, Curtis C, Gevaert O, Ji H, Karlsson K, Karagyozova K, Lo Y, Liu K, Nakano M, Sathe A, Smith A, Spees K, Wong W, Yuki K, Hangauer M, Kaufman D, Balmain A, Bollam S, Chen W, Fan Q, Kersten K, Krummel M, Li Y, Menard M, Nasholm N, Schmidt C, Serwas N, Yoda H, Ashworth A, Bandyopadhyay S, Bivona T, Eades G, Oberlin S, Tay N, Wang Y, Weissman J. An expanded universe of cancer targets. Cell 2021, 184: 1142-1155. PMID: 33667368, PMCID: PMC8066437, DOI: 10.1016/j.cell.2021.02.020.Peer-Reviewed Original ResearchConceptsNon-oncogene dependenciesDiversity of therapeutic targetsSomatically altered genesCancer targetCancer allelesInfluence therapyCancer genomesGenomic characterizationTherapeutic strategiesAltered genesCancer featuresCancer genesClinical translationCancerCancer biologyTherapeutic targetTumorGenomeGenesAneuploidy as a promoter and suppressor of malignant growth
Vasudevan A, Schukken KM, Sausville EL, Girish V, Adebambo OA, Sheltzer JM. Aneuploidy as a promoter and suppressor of malignant growth. Nature Reviews Cancer 2021, 21: 89-103. PMID: 33432169, DOI: 10.1038/s41568-020-00321-1.Peer-Reviewed Original Research
2020
High-Spatial-Resolution Multi-Omics Sequencing via Deterministic Barcoding in Tissue
Liu Y, Yang M, Deng Y, Su G, Enninful A, Guo CC, Tebaldi T, Zhang D, Kim D, Bai Z, Norris E, Pan A, Li J, Xiao Y, Halene S, Fan R. High-Spatial-Resolution Multi-Omics Sequencing via Deterministic Barcoding in Tissue. Cell 2020, 183: 1665-1681.e18. PMID: 33188776, PMCID: PMC7736559, DOI: 10.1016/j.cell.2020.10.026.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAutomationBrainCluster AnalysisDNA Barcoding, TaxonomicDNA, ComplementaryEmbryo, MammalianEyeFemaleGene Expression Regulation, DevelopmentalGenomicsHuman Umbilical Vein Endothelial CellsHumansMice, Inbred C57BLMicrofluidicsOrgan SpecificityReproducibility of ResultsRNA, MessengerSingle-Cell AnalysisTranscriptomeConceptsDeterministic barcodingNext-generation sequencingSingle-cell transcriptomesGene expression profilesMajor tissue typesDBiT-seqDNA barcodesDevelopmental biologyExpression profilesEarly organogenesisCancer biologyCell typesBarcodingTissue typesSequencingBarcodesBiologyRapid identificationSets of barcodesTranscriptomeParallel microfluidic channelsOrganogenesisEmbryosProteinTissue pixelsCancer Biology and Prevention in Diabetes
Srivastava SP, Goodwin JE. Cancer Biology and Prevention in Diabetes. Cells 2020, 9: 1380. PMID: 32498358, PMCID: PMC7349292, DOI: 10.3390/cells9061380.Peer-Reviewed Original ResearchConceptsDPP-4 inhibitorsMesenchymal transitionType II diabetes mellitusCancer biologySite-specific cancersDevelopment of hyperglycemiaAnti-diabetic therapyRisk of cancerDipeptidyl peptidase-4New therapeutic approachesPossible mechanistic linkMolecular pathological mechanismsDiabetes mellitusSGLT2 inhibitorsChronic inflammationCancer-causing mechanismsDiabetic conditionsTumor cell extravasationAntidiabetic drugsTherapeutic approachesEpidemiological dataPeptidase-4DiabetesPathological mechanismsGlucocorticoid receptorThe Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution
Rozenblatt-Rosen O, Regev A, Oberdoerffer P, Nawy T, Hupalowska A, Rood J, Ashenberg O, Cerami E, Coffey R, Demir E, Ding L, Esplin E, Ford J, Goecks J, Ghosh S, Gray J, Guinney J, Hanlon S, Hughes S, Hwang E, Iacobuzio-Donahue C, Jané-Valbuena J, Johnson B, Lau K, Lively T, Mazzilli S, Pe’er D, Santagata S, Shalek A, Schapiro D, Snyder M, Sorger P, Spira A, Srivastava S, Tan K, West R, Williams E, Network H, Aberle D, Achilefu S, Ademuyiwa F, Adey A, Aft R, Agarwal R, Aguilar R, Alikarami F, Allaj V, Amos C, Anders R, Angelo M, Anton K, Ashenberg O, Aster J, Babur O, Bahmani A, Balsubramani A, Barrett D, Beane J, Bender D, Bernt K, Berry L, Betts C, Bletz J, Blise K, Boire A, Boland G, Borowsky A, Bosse K, Bott M, Boyden E, Brooks J, Bueno R, Burlingame E, Cai Q, Campbell J, Caravan W, Cerami E, Chaib H, Chan J, Chang Y, Chatterjee D, Chaudhary O, Chen A, Chen B, Chen C, Chen C, Chen F, Chen Y, Chheda M, Chin K, Chiu R, Chu S, Chuaqui R, Chun J, Cisneros L, Coffey R, Colditz G, Cole K, Collins N, Contrepois K, Coussens L, Creason A, Crichton D, Curtis C, Davidsen T, Davies S, de Bruijn I, Dellostritto L, De Marzo A, Demir E, DeNardo D, Diep D, Ding L, Diskin S, Doan X, Drewes J, Dubinett S, Dyer M, Egger J, Eng J, Engelhardt B, Erwin G, Esplin E, Esserman L, Felmeister A, Feiler H, Fields R, Fisher S, Flaherty K, Flournoy J, Ford J, Fortunato A, Frangieh A, Frye J, Fulton R, Galipeau D, Gan S, Gao J, Gao L, Gao P, Gao V, Geiger T, George A, Getz G, Ghosh S, Giannakis M, Gibbs D, Gillanders W, Goecks J, Goedegebuure S, Gould A, Gowers K, Gray J, Greenleaf W, Gresham J, Guerriero J, Guha T, Guimaraes A, Guinney J, Gutman D, Hacohen N, Hanlon S, Hansen C, Harismendy O, Harris K, Hata A, Hayashi A, Heiser C, Helvie K, Herndon J, Hirst G, Hodi F, Hollmann T, Horning A, Hsieh J, Hughes S, Huh W, Hunger S, Hwang S, Iacobuzio-Donahue C, Ijaz H, Izar B, Jacobson C, Janes S, Jané-Valbuena J, Jayasinghe R, Jiang L, Johnson B, Johnson B, Ju T, Kadara H, Kaestner K, Kagan J, Kalinke L, Keith R, Khan A, Kibbe W, Kim A, Kim E, Kim J, Kolodzie A, Kopytra M, Kotler E, Krueger R, Krysan K, Kundaje A, Ladabaum U, Lake B, Lam H, Laquindanum R, Lau K, Laughney A, Lee H, Lenburg M, Leonard C, Leshchiner I, Levy R, Li J, Lian C, Lim K, Lin J, Lin Y, Liu Q, Liu R, Lively T, Longabaugh W, Longacre T, X. C, Macedonia M, Madison T, Maher C, Maitra A, Makinen N, Makowski D, Maley C, Maliga Z, Mallo D, Maris J, Markham N, Marks J, Martinez D, Mashl R, Masilionais I, Mason J, Massagué J, Massion P, Mattar M, Mazurchuk R, Mazutis L, Mazzilli S, McKinley E, McMichael J, Merrick D, Meyerson M, Miessner J, Mills G, Mills M, Mondal S, Mori M, Mori Y, Moses E, Mosse Y, Muhlich J, Murphy G, Navin N, Nawy T, Nederlof M, Ness R, Nevins S, Nikolov M, Nirmal A, Nolan G, Novikov E, Oberdoerffer P, O’Connell B, Offin M, Oh S, Olson A, Ooms A, Ossandon M, Owzar K, Parmar S, Patel T, Patti G, Pe’er D, Pe'er I, Peng T, Persson D, Petty M, Pfister H, Polyak K, Pourfarhangi K, Puram S, Qiu Q, Quintanal-Villalonga Á, Raj A, Ramirez-Solano M, Rashid R, Reeb A, Regev A, Reid M, Resnick A, Reynolds S, Riesterer J, Rodig S, Roland J, Rosenfield S, Rotem A, Roy S, Rozenblatt-Rosen O, Rudin C, Ryser M, Santagata S, Santi-Vicini M, Sato K, Schapiro D, Schrag D, Schultz N, Sears C, Sears R, Sen S, Sen T, Shalek A, Sheng J, Sheng Q, Shoghi K, Shrubsole M, Shyr Y, Sibley A, Siex K, Simmons A, Singer D, Sivagnanam S, Slyper M, Snyder M, Sokolov A, Song S, Sorger P, Southard-Smith A, Spira A, Srivastava S, Stein J, Storm P, Stover E, Strand S, Su T, Sudar D, Sullivan R, Surrey L, Suvà M, Tan K, Terekhanova N, Ternes L, Thammavong L, Thibault G, Thomas G, Thorsson V, Todres E, Tran L, Tyler M, Uzun Y, Vachani A, Van Allen E, Vandekar S, Veis D, Vigneau S, Vossough A, Waanders A, Wagle N, Wang L, Wendl M, West R, Williams E, Wu C, Wu H, Wu H, Wyczalkowski M, Xie Y, Yang X, Yapp C, Yu W, Yuan Y, Zhang D, Zhang K, Zhang M, Zhang N, Zhang Y, Zhao Y, Zhou D, Zhou Z, Zhu H, Zhu Q, Zhu X, Zhu Y, Zhuang X. The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution. Cell 2020, 181: 236-249. PMID: 32302568, PMCID: PMC7376497, DOI: 10.1016/j.cell.2020.03.053.Commentaries, Editorials and LettersConceptsSingle-cell genomic technologiesSingle-cell resolutionDynamic tumor ecosystemRelevant cell typesGenomic approachesCell statesGenomic technologiesTumor ecosystemBulk sequencingThree-dimensional atlasesCancer biologyCell typesCellular interactionsTumor initiationUnprecedented resolutionTumor transitionTherapeutic discoveryDiverse setCancer transitionComplex interactionsPrecision medicine treatmentBiologyCrucial transitionEcosystemsSequencingLessons for Precision Medicine from Lung Cancer
Bade B, Foley F, Tanoue L. Lessons for Precision Medicine from Lung Cancer. Respiratory Medicine 2020, 201-223. DOI: 10.1007/978-3-030-31507-8_14.Peer-Reviewed Original Research
2019
RPPAs for Cell Subpopulation Analysis
Kume K, Nishizuka SS. RPPAs for Cell Subpopulation Analysis. Advances In Experimental Medicine And Biology 2019, 1188: 227-237. PMID: 31820391, DOI: 10.1007/978-981-32-9755-5_12.ChaptersConceptsDrug-tolerant persistersStem cell-associated proteinsReverse phase protein arrayTolerant cell linesCell linesPhase protein arrayDifferent cell typesCell-associated proteinsGastric cancer cell linesCell biologyProteomic profilingProteomic profilesTolerant linesCellular heterogeneityClonal populationsCancer biologyPI3KCell typesCancer cell linesProtein arraysStem cellsIndividual subpopulationsProliferative conditionsBiologyProteinPeritoneal Metastases in Colorectal Cancer: Biology and Barriers
Xue L, Hyman N, Turaga K, Eng O. Peritoneal Metastases in Colorectal Cancer: Biology and Barriers. Journal Of Gastrointestinal Surgery 2019, 24: 720-727. PMID: 31745890, DOI: 10.1007/s11605-019-04441-4.Peer-Reviewed Original ResearchConceptsHyperthermic intraperitoneal chemotherapyPeritoneal metastasisCytoreductive surgeryIntraperitoneal chemotherapyColorectal cancer metastasesColorectal cancerTreatment of metastatic colorectal cancerBiology of tumor metastasisManagement of metastatic diseaseManagement of peritoneal metastasesCancer metastasisColorectal peritoneal metastasesMetastatic colorectal cancerRelevant English literaturePeritoneal metastasectomyMetastatic diseaseClinical dataMetastasisTumor metastasisChemotherapyEnglish literatureSurgeryCancerCancer biologyOligometastasisMolecular Biology and Evolution of Cancer: From Discovery to Action
Somarelli JA, Gardner H, Cannataro VL, Gunady EF, Boddy AM, Johnson NA, Fisk J, Gaffney SG, Chuang JH, Li S, Ciccarelli FD, Panchenko AR, Megquier K, Kumar S, Dornburg A, DeGregori J, Townsend JP. Molecular Biology and Evolution of Cancer: From Discovery to Action. Molecular Biology And Evolution 2019, 37: 320-326. PMID: 31642480, PMCID: PMC6993850, DOI: 10.1093/molbev/msz242.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsEvolutionary processesMolecular evolutionary processesEvolution of cancerCancer cell populationsEcological nichesNew therapeutic modesCancer evolutionEcological theoryMolecular biologyCancer biologyCancer progressionSuite of conceptsCell populationsBiologyNicheEvolutionCirculatory systemDeeper understandingDiscoveryCancerSpz/Toll-6 signal guides organotropic metastasis in Drosophila
Mishra-Gorur K, Li D, Ma X, Yarman Y, Xue L, Xu T. Spz/Toll-6 signal guides organotropic metastasis in Drosophila. Disease Models & Mechanisms 2019, 12: dmm039727. PMID: 31477571, PMCID: PMC6826028, DOI: 10.1242/dmm.039727.Peer-Reviewed Original ResearchConceptsToll-6Cell migrationRNA interference screenToll family receptorsNovel signaling mechanismReceptive organsInterference screenDevelopmental biologyToll ligandToll receptorWing discGenetic analysisJNK signalingKey regulatorSignaling mechanismCancer biologyOrgan-specific metastasisExhibit traitsHuman cancersOrganotropic metastasisGuidance moleculesPromotes metastasisPowerful modelInnate immunityNF-κB pathway
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