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  • American Society of Clinical Oncology (ASCO)  (13)
  • 1
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    Comparison of toxicity and outcomes of concurrent radiotherapy with carboplatin/paclitaxel (PC) or cisplatin/etoposide (PE) in stage III non-small cell lung cancer (NSCLC).
    American Society of Clinical Oncology (ASCO) ; 2013
    In:  Journal of Clinical Oncology Vol. 31, No. 15_suppl ( 2013-05-20), p. e18559-e18559
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 31, No. 15_suppl ( 2013-05-20), p. e18559-e18559
    Abstract: e18559 Background: Concurrent chemoradiotherapy (CCRT) has become the standard of care for patients (pts) with unresectable stage III NSCLC. Although 60Gy of radiotherapy is accepted as the standard radiation dose, the concurrent chemotherapy regimen is idiosyncratic to the institution with PC generally reserved for older and less fit pts. We retrospectively reviewed outcomes and toxicity of two widely used regimens at our institution (Austin Health, Melbourne): weekly PC (Belani et al, 2005) versus (vs) PE given weeks 1 and 5 (SWOG 9019) each with concurrent chest radiotherapy. Methods: Charts from stage III NSCLC pts treated with radical dose CCRT between 2000-2011 were reviewed. Clinical data including demographics, toxicity, and response were reviewed. Results: A total of 83 (PC: 50, PE: 33) pts were treated. PC pts were older [median age (range) 70 year (44-83) vs 63 year (32-76); p=0.001]. Other characteristics were comparable in PC and PE groups (Table). Increased grade (gr) ≥3 neutropenia was seen with PE (39% vs 12%, p=0.008). Other gr ≥3 toxicities were similar including febrile neutropenia, esophagitis and pneumonitis. With a median follow up of 17.2 months (mo), no statistical difference in overall survival (OS) (median PC 21.3 mo vs PE 13.7 mo; p=0.690) and relapse free survival (median PC 12.0 mo vs PE 11.1 mo; p=0.934) were observed. In multivariate analysis, where treatment type and age were included in the model, only more advanced stage predicted poorer OS (p=0.045). Conclusions: PC was more likely to be used in elderly pts. Despite this, PC resulted in significantly less hematological toxicity but achieved similar survival outcomes compared to PE. PC is an acceptable CCRT regimen especially in older pts. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/jco.2013.31.15_suppl.e18559
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2013
    detail.hit.zdb_id: 2005181-5
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  • 2
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    Multimodal biomarkers overcome sampling bias to predict presence of aggressive localized prostate cancer.
    American Society of Clinical Oncology (ASCO) ; 2021
    In:  Journal of Clinical Oncology Vol. 39, No. 6_suppl ( 2021-02-20), p. 209-209
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 39, No. 6_suppl ( 2021-02-20), p. 209-209
    Abstract: 209 Background: Histopathologic investigation of diagnostic prostate biopsies both confirms the presence of disease and estimates its potential for distal spread via tumour grade. The accuracy of biopsy grading is limited by intra-tumoral heterogeneity, inter-observer variability, and other factors. To improve risk stratification at the time of diagnosis, we sought to create objective molecular biomarkers of radical prostatectomy grade that are resistant to sampling error and should be useful when applied to biopsy tissue. Methods: We developed and validated a robust objective biomarker of prostate cancer grade using pathologic grading of prostatectomy tissues as the gold standard. We created training (333 patients) and validation (202 patients) cohorts of Cancer of the Prostate Risk Assessment (CAPRA) low- and intermediate-risk prostate cancer patients. To address intra-tumoral heterogeneity, each tumor was sampled at two locations. We profiled the abundance of 342 mRNAs complemented by 100 canonical DNA copy number aberration loci (CNAs) and 14 hypermethylation events. Using the training cohort with cross-validation, we evaluated models for training classifiers of pathologic Grade Group ≥2, Restricting to strategies resulting in true negative rates ≥0.5, true positive (TP) rates ≥0.8, we selected two strategies to train classifiers, PRONTO-e and PRONTO-m. Results: The PRONTO-e classifier comprises 353 mRNA and CNA features, while the PRONTO-m classifier comprises 94 mRNA, CNA, methylation and clinical features. Both classifiers (PRONTO-e, PRONTO-m) validated in the independent cohort, with respective TP rates of 0.809 and 0.760, false positive rates of 0.429 and 0.262, F1 scores of 0.709 and 0.724, and AUCs of 0.792 and 0.818. Conclusions: Two classifiers were developed and validated in separate cohorts, each achieved excellent performance by integrating different types of molecular data. Implementation of classifiers with these performance characteristics could markedly improve current active surveillance approaches without increasing patient morbidity and may help better inform patients on their individual need for definitive therapy versus active surveillance.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2021.39.6_suppl.209
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2021
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  • 3
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    Correlation of PD-L1 expression with immune cell infiltrates, genome-wide copy number aberrations and survival in mesothelioma.
    American Society of Clinical Oncology (ASCO) ; 2016
    In:  Journal of Clinical Oncology Vol. 34, No. 15_suppl ( 2016-05-20), p. 8518-8518
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 34, No. 15_suppl ( 2016-05-20), p. 8518-8518
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2016.34.15_suppl.8518
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2016
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  • 4
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    NY-ESO-1 as a predictive and prognostic marker in NSCLC.
    American Society of Clinical Oncology (ASCO) ; 2012
    In:  Journal of Clinical Oncology Vol. 30, No. 15_suppl ( 2012-05-20), p. e17539-e17539
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 30, No. 15_suppl ( 2012-05-20), p. e17539-e17539
    Abstract: e17539 Background: Cancer-testis antigens (CTAgs) have previously been shown to be markers of poor prognosis and to be associated with chemoresistance in short interference RNA screens. In contradistinction, we recently reported the CTAg NY-ESO-1 predicted improved responses to neoadjuvant chemotherapy in pathological stage IIIA NSCLC. Despite this, no significant survival benefit was seen in NY-ESO-1 positive (NY-ESO-1+) patients. Given that tissues available for staining in the neoadjuvant setting were limited, we investigated a retrospective cohort of patients who underwent curative surgery for pathological N2 disease. As some of these patients were operated on prior to the broad acceptance of adjuvant chemotherapy (ACT), half did not receive chemotherapy. We investigated NY-ESO-1 as a prognostic and/or predictive marker in these patients. Methods: Formalin fixed paraffin embedded tissues were reviewed and stained using standard methods for a panel of CTAgs including NY-ESO-1 by immunohistochemistry. Tumors were categorized as NY-ESO-1+ or NY-ESO-1-. Isolated DNA was subjected to mutation profiling using Sequenom’s MassArray platform. Molecular markers were correlated with clinicopathological features and survival. Results: NY-ESO-1 stained 26/104 (25%) samples, including 15 cases that received ACT and 11 that did not. NY-ESO-1+ tumors were enriched for squamous cell carcinomas over adenocarcinomas (12/29 vs. 8/57; p = 0.01). They also lacked EGFR mutants and were enriched for KRAS mutants amongst adenocarcinomas relative to NY-ESO-1- tumors (5/8 vs. 9/49; p=0.02). NY-ESO-1+ patients who did not receive ACT had significantly worse outcome than NY-ESO-1- patients who did not receive ACT (HR 2.66 1.2-5.86, p=0.01). Median survival favored NY-ESO-1+ patients who received chemotherapy (37.7 months) compared to NY-ESO-1- patients regardless of chemotherapy (28.2 ACT vs 15.7 No ACT; p= 0.25) and NY-ESO-1+ patients who did not receive ACT (7.75). Conclusions: In this dataset, NY-ESO-1 was poorly prognostic but also predictive for more favorable outcomes with chemotherapy. These data support our previous observation of increased responses to chemotherapy in NY-ESO-1+ N2 patients and warrant further study.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/jco.2012.30.15_suppl.e17539
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2012
    detail.hit.zdb_id: 2005181-5
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  • 5
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    Personalized risk stratification for patients with early prostate cancer (PRONTO): A Canadian team biomarker project.
    American Society of Clinical Oncology (ASCO) ; 2018
    In:  Journal of Clinical Oncology Vol. 36, No. 6_suppl ( 2018-02-20), p. 109-109
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 36, No. 6_suppl ( 2018-02-20), p. 109-109
    Abstract: 109 Background: Current practice stratifies men with prostate cancer into risk groups based primarily on Gleason grade. When applied to biopsy samples, the Gleason grading is inaccurate due to sampling error and inter-observer variation. The result is that men either receive unnecessary surgical treatment, or they don’t receive adequate treatment, leading to worse outcomes. Previously published genomic tests have not successfully distinguished indolent low grade (G6 or GG1) cancers from their more aggressive intermediate grade (G7 or GG2 and 3) counterparts. PRONTO is specifically aimed at creating a multi-modal risk stratification tool to improve treatment stratification following a core biopsy diagnosis. Methods: PRONTO links 7 projects, each with novel diagnostic assays for risk stratification that focus on analysis of copy number variations (CNV), DNA hypermethylation, trans-differentiation, cancer metabolism, or the tumor microenvironment. We merged the best transcripts from each project into a single NanoString gene expression assay, measuring 393 transcripts, in a cohort of 365 cases of radical prostatectomy from low-to-intermediaterisk patients. To minimize sampling error, we took multiple samples, and obtained high grade, low grade and benign areas for each radical prostatectomy case. Results: Our primary goal was to develop a multivariate molecular classifier of grade that distinguished G6 from G7 (3+4 or 4+3). Cases were randomly partitioned into five equally sized groups. A supervised machine learning algorithm (random forests) was trained on samples from four of the groups, and then evaluated by testing on the fifth group. This process was repeated for each of the five groups, yielding a combined clinical and molecular classifier. DNA methylation profiles and CNV profiles are currently being integrated into our classifier Conclusions: We have developed a multivariate classifier that distinguishes low grade from intermediate grade prostate cancer. It will be clinically validated in biopsy samples from large cohorts of early prostate cancer patients.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2018.36.6_suppl.109
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2018
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  • 6
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    Using NBN to predict biochemical relapse following image-guided radiotherapy (IGRT) for intermediate-risk prostate cancer (IR-PCa).
    American Society of Clinical Oncology (ASCO) ; 2014
    In:  Journal of Clinical Oncology Vol. 32, No. 4_suppl ( 2014-02-01), p. 26-26
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 32, No. 4_suppl ( 2014-02-01), p. 26-26
    Abstract: 26 Background: Despite the use of clinical prognostic factors, 20 to 40% of patients with intermediate-risk prostate cancer (IR-PCa) fail local treatment for unexplained reasons. Given that an accurate DNA damage response (DDR) may be associated with genetic instability and radioresponse, we investigated whether copy number alterations (CNAs) in DDR genes are predictive or prognostic following local treatment. Methods: Using array comparative genomic hybridization (aCGH), we characterized CNAs in biopsies derived from 126 IR-PCa pts. who underwent image-guided radiotherapy (IGRT). We studied the DDR-sensing genes: MRE11A, RAD50, NBN, ATM, and ATR. The IGRT cohort (median dose: 76.4Gy; median follow-up: 7.8yrs) was compared to a radical prostatectomy (RP) cohort (154 pts. from Memorial Sloan-Kettering Cancer Center database; median follow-up: 4.8yrs). CNAs were then tested for their independent prognostic capability using Kaplan-Meir method and Cox proportional hazard models. Results: In our IGRT cohort, m,ost frequent DDR gene CNAs were: NBN 20 of 126 (15.9%), ATR 11of 126 (8.7%), and ATM 7 of 126 (5.5%). NBN CNAs were mainly gains (19/20) and strongly correlated with increased NBN-mRNA abundance compared to NBN-neutral cases (p=0.016). CNAs in DDR genes were not associated with GS, prostate-specific antigen, or T-stage. Importantly, NBN gain ranked among the top 3.3% of all genes in terms of its strength of association with the percent of the genome altered (PGA). After adjusting for clinical factors in a multivariate model, NBN gain was a significant independent predictor of 5 years-biochemical relapse-free rate (bRFR) following IGRT (48.6% versus 78.8%; HR = 3.14, 95% CI: 1.42-6.94, p=0.004). No DDR CNA was prognostic in the RP cohort. Increased NBN mRNA expression correlated to radioresistance in vitro (i.e. clonogenic surviving fraction after 3Gy) in five prostate cancer cell lines (R 2 = 0.665). This relationship was not observed for any of the other DDR genes. Conclusions: NBN copy number gain or increased expression correlates with tumor genomic instability, decreased bRFR (IGRT- but not surgery-treated pts.) and intrinsic prostate cancer cell radioresistance. If validated in independent IGRT cohorts, NBN gain could be the first PCa predictive biomarker to facilitate local treatment decisions using precision medicine approaches.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/jco.2014.32.4_suppl.26
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2014
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  • 7
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    Pan-Cancer Analysis of Postdiagnosis Exercise and Mortality
    American Society of Clinical Oncology (ASCO) ; 2023
    In:  Journal of Clinical Oncology
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO)
    Abstract: The impact of postdiagnosis exercise on cause-specific mortality in cancer survivors and whether this differs on the basis of cancer site is unclear. METHODS We performed an analysis of 11,480 patients with cancer enrolled in the Prostate, Lung, Colorectal, and Ovarian cancer screening trial. Patients with a confirmed diagnosis of cancer completing a standardized survey quantifying exercise after diagnosis were included. The primary outcome was all-cause mortality (ACM); secondary end points were cancer mortality and mortality from other causes. Cox models were used to estimate the cause-specific hazard ratios (HRs) for ACM, cancer, and noncancer mortality as a function of meeting exercise guidelines versus not meeting guidelines with adjustment for important clinical covariates. RESULTS After a median follow-up of 16 years from diagnosis, 4,665 deaths were documented (1,940 due to cancer and 2,725 due to other causes). In multivariable analyses, exercise consistent with guidelines was associated with a 25% reduced risk of ACM compared with nonexercise (HR, 0.75; 95% CI, 0.70 to 0.80). Compared with nonexercise, exercise consistent with guidelines was associated with a significant reduction in cancer mortality (HR, 0.79; 95% CI, 0.72 to 0.88) and mortality from other causes (HR, 0.72; 95% CI, 0.66 to 0.78). The inverse relationship between exercise and cause-specific mortality varied by exercise dose. Exercise consistent with guidelines was associated with a reduced hazard of ACM for multiple cancer sites. Reduction in cancer mortality for exercisers was only observed in head and neck and renal cancer. CONCLUSION In this pan-cancer sample of long-term cancer survivors, exercise consistent with guidelines was associated with substantial ACM benefit driven by both reductions in cancer and noncancer mortality. The cause-specific impact of exercise differed as a function of cancer site.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.23.00058
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2023
    detail.hit.zdb_id: 2005181-5
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  • 8
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    Identification of Distinct Prognostic Groups: Implications for Patient Selection to Targeted Therapies Among Anti-Endocrine Therapy–Resistant Early Breast Cancers
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  JCO Precision Oncology , No. 3 ( 2019-12), p. 1-13
    Details
    In: JCO Precision Oncology, American Society of Clinical Oncology (ASCO), , No. 3 ( 2019-12), p. 1-13
    Abstract: Hormone receptor–positive breast cancer remains an ongoing therapeutic challenge, despite optimal anti-endocrine therapies. In this study, we assessed the prognostic ability of genomic signatures to identify patients at risk for recurrence after endocrine therapy. Analysis was performed on the basis of an a priori hypothesis related to molecular pathways, which might predict response to existing targeted therapies. PATIENTS AND METHODS A subset of patients from the Tamoxifen Versus Exemestane Adjuvant Multinational trial ( ClinicalTrials.gov identifiers: NCT00279448 and NCT00032136, and NCT00036270) pathology cohort were analyzed to determine the prognostic ability of mutational and copy number aberration biomarkers that represent the cyclin D/cyclin-dependent kinase (CCND/CDK), fibroblast growth factor receptor/fibroblast growth factor (FGFR/FGF), and phosphatidylinositol 3-kinase/protein kinase B (PI3K/ATK) pathways to inform the potential choice of additional therapies to standard endocrine treatment. Copy number analysis and targeted sequencing was performed. Pathways were identified as aberrant if there were copy number aberrations and/or mutations in any of the predetermined pathway genes: CCND1/CCND2/CCND3/CDK4/CDK6, FGFR1/FGFR2/FGFR2/FGFR4, and AKT1/AKT2/PIK3CA/PTEN. RESULTS The 390 of 420 samples that passed quality control were analyzed for distant metastasis–free survival between groups. Patients with no changes in the CCND/CDK pathway experienced a better distant metastasis–free survival (hazard ratio, 1.94; 95% CI, 1.45 to 2.61; P 〈 .001) than those who possessed aberrations. In the FGFR/FGF and PI3K/AKT pathways, a similar outcome was observed (hazard ratio, 1.43 [95% CI, 1.07 to 1.92; P = .017] and 1.34 [95% CI, 1.00 to 1.81; P = .053] , respectively). CONCLUSION We show that aberrations of genes in these pathways are independently linked to a higher risk of relapse after endocrine treatment. Improvement of the clinical management of early breast cancers could be made by identifying those for whom current endocrine therapies are sufficient, thus reducing unnecessary treatment, and secondly, by identifying those who are at high risk for recurrence and linking molecular features that drive these cancers to treatment with targeted therapies.
    Type of Medium: Online Resource
    ISSN: 2473-4284
    URL: Article
    DOI: 10.1200/PO.18.00373
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
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  • 9
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    Systematic Assessment of Tumor Purity and Its Clinical Implications
    American Society of Clinical Oncology (ASCO) ; 2020
    In:  JCO Precision Oncology , No. 4 ( 2020-11), p. 995-1005
    Details
    In: JCO Precision Oncology, American Society of Clinical Oncology (ASCO), , No. 4 ( 2020-11), p. 995-1005
    Abstract: The tumor microenvironment is complex, comprising heterogeneous cellular populations. As molecular profiles are frequently generated using bulk tissue sections, they represent an admixture of multiple cell types (including immune, stromal, and cancer cells) interacting with each other. Therefore, these molecular profiles are confounded by signals emanating from many cell types. Accurate assessment of residual cancer cell fraction is crucial for parameterization and interpretation of genomic analyses, as well as for accurately interpreting the clinical properties of the tumor. MATERIALS AND METHODS To benchmark cancer cell fraction estimation methods, 10 estimators were applied to a clinical cohort of 333 patients with prostate cancer. These methods include gold-standard multiobserver pathology estimates, as well as estimates inferred from genome, epigenome, and transcriptome data. In addition, two methods based on genomic and transcriptomic profiles were used to quantify tumor purity in 4,497 tumors across 12 cancer types. Bulk mRNA and microRNA profiles were subject to in silico deconvolution to estimate cancer cell–specific mRNA and microRNA profiles. RESULTS We present a systematic comparison of 10 tumor purity estimation methods on a cohort of 333 prostate tumors. We quantify variation among purity estimation methods and demonstrate how this influences interpretation of clinico-genomic analyses. Our data show poor concordance between pathologic and molecular purity estimates, necessitating caution when interpreting molecular results. Limited concordance between DNA- and mRNA-derived purity estimates remained a general pan-cancer phenomenon when tested in an additional 4,497 tumors spanning 12 cancer types. CONCLUSION The choice of tumor purity estimation method may have a profound impact on the interpretation of genomic assays. Taken together, these data highlight the need for improved assessment of tumor purity and quantitation of its influences on the molecular hallmarks of cancers.
    Type of Medium: Online Resource
    ISSN: 2473-4284
    URL: Article
    DOI: 10.1200/PO.20.00016
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
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  • 10
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    Three-Gene Prognostic Classifier for Early-Stage Non–Small-Cell Lung Cancer
    American Society of Clinical Oncology (ASCO) ; 2007
    In:  Journal of Clinical Oncology Vol. 25, No. 35 ( 2007-12-10), p. 5562-5569
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 25, No. 35 ( 2007-12-10), p. 5562-5569
    Abstract: Several microarray studies have reported gene expression signatures that classify non–small-cell lung carcinoma (NSCLC) patients into different prognostic groups. However, the prognostic gene lists reported to date overlap poorly across studies, and few have been validated independently using more quantitative assay methods. Patients and Methods The expression of 158 putative prognostic genes identified in previous microarray studies was analyzed by reverse transcription quantitative polymerase chain reaction in the tumors of 147 NSCLC patients. Concordance indices and risk scores were used to identify a stage-independent set of genes that could classify patients with significantly different prognoses. Results We have identified a three-gene classifier (STX1A, HIF1A, and CCR7) for overall survival (hazard ratio = 3.8; 95% CI, 1.7 to 8.2; P 〈 .001). The classifier was also able to stratify stage I and II patients and further improved the predictive ability of clinical factors such as histology and tumor stage. The predictive value of this three-gene classifier was validated in two large independent microarray data sets from Harvard and Duke Universities. Conclusion We have identified a new three-gene classifier that is independent of and improves on stage to stratify early-stage NSCLC patients with significantly different prognoses. This classifier may be tested further for its potential value to improve the selection of resected NSCLC patients in adjuvant therapy.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2007.12.0352
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2007
    detail.hit.zdb_id: 2005181-5
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