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Cell free nucleic acid-based biomarkers in advanced prostate cancer

Cell free nucleic acid-based biomarkers in advanced prostate cancer
晚期前列腺癌中基于无细胞核酸的生物标志物
批准号:
10471263
负责人:
Manish Kohli
金额:
$56.86万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-08-01 至 2024-07-31
关键词:
AblationAlgorithmsAndrogensBiologicalBiological AssayBiological MarkersBiological ModelsBloodBody FluidsCancer Cell GrowthCancer PatientCastrationCell CountCellsClinicalDNADNA sequencingDevelopmentDisease ProgressionFDA approvedFailureGenesGenomicsGrowthHigh-Throughput Nucleotide SequencingHormonalHormonesHumanIn VitroIndividualKnowledgeLaboratoriesMalignant neoplasm of prostateMedicineMetastatic Prostate CancerMicroRNAsMolecularMolecular AbnormalityMutationNeoplasm Circulating CellsNucleic AcidsNude MiceOutcomePainPatient-Focused OutcomesPatientsPerformancePlasmaPlasma CellsPrediction of Response to TherapyPredictive FactorPrognosisPrognostic FactorPrognostic MarkerProgression-Free SurvivalsQuantitative Reverse Transcriptase PCRRNAReportingResistanceReverse Transcriptase Polymerase Chain ReactionTechnologyTestingTimeTreatment ProtocolsTumor BurdenTumor-DerivedUnfavorable Clinical OutcomeValidationadvanced prostate cancerandrogen deprivation therapybasecancer recurrencecastration resistant prostate cancercell free DNAchemotherapycirculating microRNAcohortdesigndigitaldocetaxeleffective therapyin vivoliquid biopsymicroRNA biomarkerspatient responsepre-clinicalprecision medicinepredicting responseprediction algorithmpredictive markerpredictive modelingpredictive testpredictive toolsprognosticprognostic assaysprognostic performanceprognostic toolprospectiveprostate cancer cellprostate cancer modelprostate cancer progressionresearch clinical testingresponsetranscriptome sequencingtreatment responsetumortumor growthtumor progressiontumor xenograftwhole genome

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PROJECT SUMMARY Metastatic hormone-sensitive prostate cancer is treated with androgen deprivation therapy and after progression to the castration-resistant prostate cancer stage, with additional forms of hormonal ablation and/or with chemotherapy. These treatments slow tumor progression by a certain period and decrease the pain and suffering from disease progression. However, there is no clinical feature or molecular test that can reliably predict these treatment responses or clinical outcomes in advanced prostate cancer. A predictive feature or biomarker which is defined as a factor determining which patients will do well with a specific type of treatment. This is distinct from molecular prognostic biomarkers which provide information about clinical outcome regardless of therapy used. Knowledge of predictive factors that identify cohorts of patients destined for response (versus failure) of these therapies is critically needed to develop precision medicine strategies. Recently, the assessment of tumor-derived cell free nucleic acids in body fluids has shown promise in being able to capture tumor genomic and genetic abnormalities in cancer patients. This approach is often referred to as “liquid biopsy”. We believe that cell free nucleic acids can be used as biomarkers to reliably predict treatment response and clinical outcomes, and will therefore be informative in designing an appropriate treatment regimen. We have previously examined plasma cell free nucleic acids for miRNA abundance and somatic DNA changes in patients with advanced prostate cancer. We observed a significant association of high plasma miRNAs (miR-375 and miR- 1290) with poor overall survival. We also observed that tumor-derived genomic/genetic alterations in plasma cell free DNAs were associated with tumor burden and reflected patients' responses to stage-specific treatments. Aim 1 of this study is to identify and validate key circulating miRNA-based predictive and prognostic biomarkers in four well annotated prostate cancer cohorts. Aim 2 is to establish circulating cell free DNA-based predictive and prognostic biomarkers in four well annotated prostate cancer cohorts. Aim 3 is to functionally characterize the potential of the key candidate miRNAs in promoting growth and resistance of prostate cancer cells to androgen deprivation therapy or chemotherapy in vitro and in vivo. The proposed studies are highly significant and timely, as the circulating cell free nucleic acid-based biomarkers will not only help clinicians in selecting the most effective treatment options, but also provide important clues regarding mechanisms that underlie prostate cancer progression and recurrence.
期刊论文(19)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.eururo.2020.03.044
发表时间: 2020-08
期刊: European urology
影响因子: 23.4
作者: [Fettke H, Kwan EM, Docanto MM, Bukczynska P, Ng N, Graham LK, Mahon K, Hauser C, Tan W, Wang XH, Zhao Z, Zheng T, Zhou K, Du P, Yu J, Huang Y, Jia S, Kohli M, Horvath LG, Azad AA]
通讯作者: Azad AA
Serum chromogranin-A-based prognosis in metastatic castration-resistant prostate cancer.
基于血清嗜铬粒蛋白 A 的转移性去势抵抗性前列腺癌预后。
DOI: 10.1038/s41391-018-0046-9
发表时间: 2018-09
期刊: Prostate cancer and prostatic diseases
影响因子: 4.8
作者: [Giridhar KV, Sanhueza C, Hillman DW, Alkhateeb H, Carlson R, Tan W, Costello BA, Quevedo F, Pagliaro L, Kohli M]
通讯作者: Kohli M
DOI: 10.1186/s12916-022-02298-0
发表时间: 2022-03-25
期刊: BMC medicine
影响因子: 9.3
作者: [Mak B, Lin HM, Kwan EM, Fettke H, Tran B, Davis ID, Mahon K, Stockler MR, Briscoe K, Marx G, Zhang A, Crumbaker M, Tan W, Huynh K, Meikle TG, Mellett NA, Hoy AJ, Du P, Yu J, Jia S, Joshua AM, Waugh DJ, Butler LM, Kohli M, Meikle PJ, Azad AA, Horvath LG]
通讯作者: Horvath LG
DOI: 10.3390/cancers13205204
发表时间: 2021-10-17
期刊: Cancers
影响因子: 5.2
作者: [Beinhoff P, Sabharwal L, Udhane V, Maranto C, LaViolette PS, Jacobsohn KM, Tsai S, Iczkowski KA, Wang L, Hall WA, Dehm SM, Kilari D, Nevalainen MT]
通讯作者: Nevalainen MT
13
    Digital Multiplexed Analysis of Circulating Nucleic Acids in Small-Volume Blood Specimens
    Digital Multiplexed Analysis of Circulating Nucleic Acids in Small-Volume Blood Specimens
    Daily Quantification of Cancer-Associated Exosomal miRNA in Patient Blood by Photonic Crystal-Enhanced Quantum Dot Emission
    Cell free nucleic acid-based biomarkers in advanced prostate cancer
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