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  1. Article ; Online: Endotrophin is a risk marker of complications in CANagliflozin cardioVascular Assessment Study (CANVAS): a randomized controlled trial.

    Rasmussen, Daniel Guldager Kring / Hansen, Michael K / Blair, Joseph / Jatkoe, Timothy A / Neal, Bruce / Karsdal, Morten A / Genovese, Federica

    Cardiovascular diabetology

    2022  Volume 21, Issue 1, Page(s) 261

    Abstract: Background: Enhanced de-novo collagen type VI (COL VI) formation has been associated with kidney and cardiovascular fibrosis. We hypothesized that endotrophin (ETP), a product specifically generated during collagen type VI formation, may be prognostic ... ...

    Abstract Background: Enhanced de-novo collagen type VI (COL VI) formation has been associated with kidney and cardiovascular fibrosis. We hypothesized that endotrophin (ETP), a product specifically generated during collagen type VI formation, may be prognostic for heart failure (HF), cardiovascular death (CVD), kidney endpoints, and all-cause mortality in patients with type 2 diabetes.
    Methods: We measured ETP in plasma (P-ETP) and urine (U-ETP) samples collected at baseline and follow-up (year 3) from the randomized controlled trial, CANagliflozin cardioVascular Assessment Study (CANVAS), by use of the PRO-C6 ELISA measuring COL VI formation and ETP. At baseline, plasma and urine samples were available for 3531 and 3423 patients, respectively. At year 3, plasma and urine samples were available for 2178 (61.7%) and 2070 (60.5%) patients, respectively Patients were followed for a median of 6.1 years, and endpoints included: incident HF, CVD, three kidney composite endpoints, and all-cause mortality. Backward selection was used to identify variables to be included in the analyses. Robustness of the association with outcome was assessed by bootstrap analyses.
    Results: In univariable analysis, P-ETP predicted all investigated outcomes (all p < 0.0001), remained independently associated with all outcomes after adjustment for conventional risk factors (all p < 0.004), and increased C-statistics of the models for the outcomes HF, CVD, HFCVD, all-cause mortality, and kidney composite 2 (ΔC ≥ 0.002). In bootstrap analysis, P-ETP was retained with a frequency ranging from 41.0 to 98.4% for all outcomes. Levels of U-ETP were associated with outcomes in univariable analysis, but associations with most outcomes were lost after adjustment for conventional risk factors. The increase in P-ETP over time was greater with increasing albuminuria stage (p < 0.0001) and was independently associated with the kidney endpoints (p < 0.03). In the placebo arm, the increase in P-ETP was prognostic for all-cause mortality (HR [95% CI]; 1.14 [1.05-1.23], p = 0.003). Whereas levels of P-ETP were not impacted by treatment, levels of U-ETP significantly increased with canagliflozin treatment.
    Conclusions: P-ETP generated during COL VI formation predicts cardiovascular, kidney and mortality outcomes in patients with type 2 diabetes. As ETP identifies patients at increased risk of experiencing relevant outcomes, it may be used for patient enrichment in future clinical trials. Trial Registry Number (ClinicalTrials.gov Identifier): NCT01032629.
    MeSH term(s) Humans ; Collagen Type VI ; Canagliflozin/adverse effects ; Diabetes Mellitus, Type 2/diagnosis ; Diabetes Mellitus, Type 2/drug therapy ; Heart Failure
    Chemical Substances endotrophin ; Collagen Type VI ; Canagliflozin (0SAC974Z85)
    Language English
    Publishing date 2022-11-28
    Publishing country England
    Document type Randomized Controlled Trial ; Journal Article
    ZDB-ID 2093769-6
    ISSN 1475-2840 ; 1475-2840
    ISSN (online) 1475-2840
    ISSN 1475-2840
    DOI 10.1186/s12933-022-01666-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Clinical Validation of Companion Diagnostics for the Selection of Patients with Non-Small Cell Lung Cancer Tumors Harboring Epidermal Growth Factor Receptor Exon 20 Insertion Mutations for Treatment with Amivantamab.

    Jatkoe, Timothy / Wang, Songbai / Odegaard, Justin I / Velasco Roth, Anne Marie / Osgood, Drew / Martinez, Gabriela / Lucas, Paul / Curtin, Joshua C / Karkera, Jayaprakash

    The Journal of molecular diagnostics : JMD

    2022  Volume 24, Issue 11, Page(s) 1181–1188

    Abstract: Amivantamab, an epidermal growth factor receptor (EGFR)-c-Met bispecific antibody, targets activating/resistance EGFR mutations and MET mutations/amplifications. In the ongoing CHRYSALIS study (ClinicalTrials.gov Identifier: NCT02609776), amivantamab ... ...

    Abstract Amivantamab, an epidermal growth factor receptor (EGFR)-c-Met bispecific antibody, targets activating/resistance EGFR mutations and MET mutations/amplifications. In the ongoing CHRYSALIS study (ClinicalTrials.gov Identifier: NCT02609776), amivantamab demonstrated antitumor activity in patients with non-small cell lung cancer harboring EGFR exon 20 insertion mutations (ex20ins) that progressed on or after platinum-based chemotherapy, a population in which amivantamab use has been approved by the US Food and Drug Administration. This bridging study clinically validated two novel candidate companion diagnostics (CDx) for use in detecting EGFR ex20ins in plasma and tumor tissue, Guardant360 CDx and Oncomine Dx Target Test (ODxT), respectively. From the 81 patients in the CHRYSALIS efficacy population, 78 plasma and 51 tissue samples were tested. Guardant360 CDx identified 62 positive (16 negative), and ODxT identified 39 positive (3 negative), samples with EGFR ex20ins. Baseline demographic and clinical characteristics were similar between the CHRYSALIS-, Guardant360 CDx-, and ODxT-identified populations. Agreement with local PCR/next-generation sequencing tests used for enrollment into CHRYSALIS demonstrated high adjusted negative (99.6% and 99.9%) and positive (100% for both) predictive values with the Guardant360 CDx and ODxT tests, respectively. Overall response rates were comparable between the CHRYSALIS, Guardant360 CDx, and ODxT populations. Both the plasma- and tissue-based diagnostic tests provided accurate, comprehensive, and complementary approaches to identifying patients with EGFR ex20ins who could benefit from amivantamab therapy.
    MeSH term(s) Humans ; Carcinoma, Non-Small-Cell Lung/diagnosis ; Carcinoma, Non-Small-Cell Lung/drug therapy ; Carcinoma, Non-Small-Cell Lung/genetics ; Lung Neoplasms/diagnosis ; Lung Neoplasms/drug therapy ; Lung Neoplasms/genetics ; Patient Selection ; Mutagenesis, Insertional/genetics ; Protein Kinase Inhibitors/therapeutic use ; ErbB Receptors/genetics ; Exons/genetics ; Mutation
    Chemical Substances amivantamab-vmjw ; Protein Kinase Inhibitors ; ErbB Receptors (EC 2.7.10.1)
    Language English
    Publishing date 2022-08-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2000060-1
    ISSN 1943-7811 ; 1525-1578
    ISSN (online) 1943-7811
    ISSN 1525-1578
    DOI 10.1016/j.jmoldx.2022.07.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Gene expression markers in circulating tumor cells may predict bone metastasis and response to hormonal treatment in breast cancer.

    Wang, Haiying / Molina, Julian / Jiang, John / Ferber, Matthew / Pruthi, Sandhya / Jatkoe, Timothy / Derecho, Carlo / Rajpurohit, Yashoda / Zheng, Jian / Wang, Yixin

    Molecular and clinical oncology

    2013  Volume 1, Issue 6, Page(s) 1031–1038

    Abstract: Circulating tumor cells (CTCs) have recently attracted attention due to their potential as prognostic and predictive markers for the clinical management of metastatic breast cancer patients. The isolation of CTCs from patients may enable the molecular ... ...

    Abstract Circulating tumor cells (CTCs) have recently attracted attention due to their potential as prognostic and predictive markers for the clinical management of metastatic breast cancer patients. The isolation of CTCs from patients may enable the molecular characterization of these cells, which may help establish a minimally invasive assay for the prediction of metastasis and further optimization of treatment. Molecular markers of proven clinical value may therefore be useful in predicting disease aggressiveness and response to treatment. In our earlier study, we identified a gene signature in breast cancer that appears to be significantly associated with bone metastasis. Among the genes that constitute this signature, trefoil factor 1 (TFF1) was identified as the most differentially expressed gene associated with bone metastasis. In this study, we investigated 25 candidate gene markers in the CTCs of metastatic breast cancer patients with different metastatic sites. The panel of the 25 markers was investigated in 80 baseline samples (first blood draw of CTCs) and 30 follow-up samples. In addition, 40 healthy blood donors (HBDs) were analyzed as controls. The assay was performed using quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) with RNA extracted from CTCs captured by the CellSearch system. Our study indicated that 12 of the genes were uniquely expressed in CTCs and 10 were highly expressed in the CTCs obtained from patients compared to those obtained from HBDs. Among these genes, the expression of keratin 19 was highly correlated with the CTC count. The TFF1 expression in CTCs was a strong predictor of bone metastasis and the patients with a high expression of estrogen receptor β in CTCs exhibited a better response to hormonal treatment. Molecular characterization of these genes in CTCs may provide a better understanding of the mechanism underlying tumor metastasis and identify gene markers in CTCs for predicting disease progression and response to treatment.
    Language English
    Publishing date 2013-08-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 2796865-0
    ISSN 2049-9469 ; 2049-9450
    ISSN (online) 2049-9469
    ISSN 2049-9450
    DOI 10.3892/mco.2013.163
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: A Whole Blood Molecular Signature for Acute Myocardial Infarction.

    Muse, Evan D / Kramer, Eric R / Wang, Haiying / Barrett, Paddy / Parviz, Fereshteh / Novotny, Mark A / Lasken, Roger S / Jatkoe, Timothy A / Oliveira, Glenn / Peng, Hongfan / Lu, Jerry / Connelly, Mark C / Schilling, Kurt / Rao, Chandra / Torkamani, Ali / Topol, Eric J

    Scientific reports

    2017  Volume 7, Issue 1, Page(s) 12268

    Abstract: Chest pain is a leading reason patients seek medical evaluation. While assays to detect myocyte death are used to diagnose a heart attack (acute myocardial infarction, AMI), there is no biomarker to indicate an impending cardiac event. Transcriptional ... ...

    Abstract Chest pain is a leading reason patients seek medical evaluation. While assays to detect myocyte death are used to diagnose a heart attack (acute myocardial infarction, AMI), there is no biomarker to indicate an impending cardiac event. Transcriptional patterns present in circulating endothelial cells (CEC) may provide a window into the plaque rupture process and identify a proximal biomarker for AMI. Thus, we aimed to identify a transcriptomic signature of AMI present in whole blood, but derived from CECs. Candidate genes indicative of AMI were nominated from microarray of enriched CEC samples, and then verified for detectability and predictive potential via qPCR in whole blood. This signature was validated in an independent cohort. Our findings suggest that a whole blood CEC-derived molecular signature identifies patients with AMI and sets the framework to potentially identify the earlier stages of an impending cardiac event when used in concert with clinical history and other diagnostics where conventional biomarkers indicative of myonecrosis remain undetected.
    MeSH term(s) Adolescent ; Adult ; Aged ; Aged, 80 and over ; Biomarkers/blood ; Endothelial Cells/pathology ; Female ; Gene Expression Profiling ; Humans ; Male ; Microarray Analysis ; Middle Aged ; Myocardial Infarction/pathology ; Real-Time Polymerase Chain Reaction ; Young Adult
    Chemical Substances Biomarkers
    Language English
    Publishing date 2017-09-25
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-017-12166-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Gene based prediction of clinically localized prostate cancer progression after radical prostatectomy.

    Talantov, Dmitri / Jatkoe, Timothy A / Böhm, Maret / Zhang, Yi / Ferguson, Alison M / Stricker, Phillip D / Kattan, Michael W / Sutherland, Robert L / Kench, James G / Wang, Yixin / Henshall, Susan M

    The Journal of urology

    2010  Volume 184, Issue 4, Page(s) 1521–1528

    Abstract: Purpose: Accurate estimates of recurrence risk are needed for optimal treatment of patients with clinically localized prostate cancer. We combined an established nomogram and what to our knowledge are novel molecular predictors into a new prognostic ... ...

    Abstract Purpose: Accurate estimates of recurrence risk are needed for optimal treatment of patients with clinically localized prostate cancer. We combined an established nomogram and what to our knowledge are novel molecular predictors into a new prognostic model of prostate specific antigen recurrence.
    Materials and methods: We analyzed gene expression profiles from formalin fixed, paraffin embedded, localized prostate cancer tissues to identify genes associated with prostate specific antigen recurrence. Profiles of the identified markers were reproduced by reverse transcriptase-polymerase chain reaction. We used the profiles of 3 of these genes along with output from the Kattan postoperative nomogram to produce a predictive model of prostate specific antigen recurrence.
    Results: After variable selection we built a model of prostate specific antigen recurrence combining expression values of 3 genes and the postoperative nomogram. The 3-gene plus nomogram model predicted 5-year prostate specific antigen recurrence with a concordance index of 0.77 in a validation set compared to a concordance index of 0.67 for the nomogram. This model identified a subgroup of patients at high risk for recurrence that was not identified by the nomogram.
    Conclusions: This new gene based classifier has superior predictive power compared to that of the 5-year nomogram to assess the risk of prostate specific antigen recurrence in patients with organ confined prostate cancer. Our classifier should provide more accurate stratification of patients into high and low risk groups for treatment decisions and adjuvant clinical trials.
    MeSH term(s) Disease Progression ; Gene Expression Regulation, Neoplastic ; Humans ; Male ; Middle Aged ; Models, Statistical ; Neoplasm Recurrence, Local/epidemiology ; Neoplasm Recurrence, Local/genetics ; Nomograms ; Prognosis ; Prostatectomy ; Prostatic Neoplasms/genetics ; Prostatic Neoplasms/pathology ; Prostatic Neoplasms/surgery ; Risk Assessment
    Language English
    Publishing date 2010-10
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 3176-8
    ISSN 1527-3792 ; 0022-5347
    ISSN (online) 1527-3792
    ISSN 0022-5347
    DOI 10.1016/j.juro.2010.05.084
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Melanoma-specific marker expression in skin biopsy tissues as a tool to facilitate melanoma diagnosis.

    Alexandrescu, Doru T / Kauffman, C Lisa / Jatkoe, Timothy A / Hartmann, Dan P / Vener, Tatiana / Wang, Haiying / Derecho, Carlo / Rajpurohit, Yashoda / Wang, Yixin / Palma, John F

    The Journal of investigative dermatology

    2010  Volume 130, Issue 7, Page(s) 1887–1892

    Abstract: Diagnosis of cutaneous melanoma requires accurate differentiation of true malignant tumors from highly atypical lesions, which lack the capacity to develop uncontrolled proliferation and to metastasize. We used melanoma markers from previous work to ... ...

    Abstract Diagnosis of cutaneous melanoma requires accurate differentiation of true malignant tumors from highly atypical lesions, which lack the capacity to develop uncontrolled proliferation and to metastasize. We used melanoma markers from previous work to differentiate benign and atypical lesions from melanoma using paraffin-embedded tissue. This critical step in diagnosis generates the most uncertainty and discrepancy between dermatopathologists. A total of 193 biopsy tissues were selected: 47 melanomas, 48 benign nevi, and 98 atypical/suspicious, including 48 atypical nevi and 50 melanomas as later assigned by expert dermatopathologists. Performance for SILV, GDF15, and L1CAM normalized to TYR in unequivocal melanoma versus benign nevi resulted in an area under the curve (AUC) of 0.94, 0.67, and 0.5, respectively. SILV also differentiated atypical cases classified as melanoma from atypical nevi with an AUC=0.74. Furthermore, SILV showed a significant difference between suspicious melanoma and each suspicious atypia group: melanoma versus severe atypia and melanoma versus moderate atypia had P-values of 0.0077 and 0.0009, respectively. SILV showed clear discrimination between melanoma and benign unequivocal cases as well as between different atypia subgroups in the group of suspicious samples. The role and potential utility of this molecular assay as an adjunct to the morphological diagnosis of melanoma are discussed.
    MeSH term(s) Adult ; Area Under Curve ; Biomarkers, Tumor/genetics ; Biopsy ; Diagnosis, Differential ; Female ; Genetic Testing ; Humans ; Male ; Melanoma/genetics ; Melanoma/pathology ; Middle Aged ; Nevus/metabolism ; Nevus/pathology ; Paraffin Embedding ; Reverse Transcriptase Polymerase Chain Reaction ; Skin Diseases/metabolism ; Skin Diseases/pathology ; Skin Neoplasms/genetics ; Skin Neoplasms/pathology
    Chemical Substances Biomarkers, Tumor
    Language English
    Publishing date 2010-07
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 80136-7
    ISSN 1523-1747 ; 0022-202X
    ISSN (online) 1523-1747
    ISSN 0022-202X
    DOI 10.1038/jid.2010.61
    Database MEDical Literature Analysis and Retrieval System OnLINE

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