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  • American Association for Cancer Research (AACR)  (3)
  • Lin, Ai-Hua  (3)
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  • American Association for Cancer Research (AACR)  (3)
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  • 1
    Online Resource
    Online Resource
    Abstract 4006: Effect of Prior Cancer on Trial Eligibility and Treatment Outcomes in Nasopharyngeal Carcinoma: Implications for Clinical Trial Accrual
    American Association for Cancer Research (AACR) ; 2019
    In:  Cancer Research Vol. 79, No. 13_Supplement ( 2019-07-01), p. 4006-4006
    Details
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 13_Supplement ( 2019-07-01), p. 4006-4006
    Abstract: Background: In cancer trials, prior cancer is a common exclusion criterion. We evaluated the characteristics of prior cancer exclusion criteria in nasopharyngeal carcinoma (NPC) trials and determined its prognostic effect on patients with NPC. Methods: We reviewed NPC trials for prior cancer exclusion criteria. Then we estimated the effect of prior cancer among NPC patients using the Surveillance, Epidemiology, and End Results database. Propensity score-matching was used to compensate for differences in baseline characteristics between patients with and without prior cancer. Results: There were 109 clinical trials involving 10,437 patients; 49 trials (45%) excluded patients with prior cancer. Prior cancer exclusion was more common in recent or phase III trials. We identified 10,195 NPC patients; 6.2% had prior cancer. More than 70% of these cancers were in situ/localized/regional and diagnosed relatively close to the NPC diagnosis (median 3.3 years). Patients with certain prior cancer type (prostate, breast, gynecological, hematological), time of diagnosis ( & gt;5 years ago), or stage (in situ/localized) did not have inferior survival compared with patients with no prior cancer. We tested one form of prior cancer exclusion criteria in an NPC cohort resembling a modern trial population: it did not adversely affect overall and NPC-specific survival. Conclusions: Many NPC trials excluded patients with prior cancer, which impacts trial accrual and generalizability. Our findings suggest that broader inclusion in trials of patients with NPC with prior cancer might not affect trial outcomes. More research is needed to understand the appropriateness of this exclusion policy across cancer types and trials. Citation Format: Ya-Qin Wang, Jia-Wei Lv, Ling-Long Tang, Xiao-Jing Du, Lei Chen, Wen-Fei Li, Xu Liu, Ying Guo, Ai-Hua Lin, Yan-Ping Mao, Ying Sun, Yu-Pei Chen, Jun Ma. Effect of Prior Cancer on Trial Eligibility and Treatment Outcomes in Nasopharyngeal Carcinoma: Implications for Clinical Trial Accrual [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4006.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    URL: Article
    DOI: 10.1158/1538-7445.AM2019-4006
    RVK:
    XA 36000
    RVK:
    XA 10000
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
    Location Call Number Limitation Availability
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma
    American Association for Cancer Research (AACR) ; 2019
    In:  Clinical Cancer Research Vol. 25, No. 14 ( 2019-07-15), p. 4271-4279
    Details
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 25, No. 14 ( 2019-07-15), p. 4271-4279
    Abstract: We aimed to evaluate the value of deep learning on positron emission tomography with computed tomography (PET/CT)–based radiomics for individual induction chemotherapy (IC) in advanced nasopharyngeal carcinoma (NPC). Experimental Design: We constructed radiomics signatures and nomogram for predicting disease-free survival (DFS) based on the extracted features from PET and CT images in a training set (n = 470), and then validated it on a test set (n = 237). Harrell's concordance indices (C-index) and time-independent receiver operating characteristic (ROC) analysis were applied to evaluate the discriminatory ability of radiomics nomogram, and compare radiomics signatures with plasma Epstein–Barr virus (EBV) DNA. Results: A total of 18 features were selected to construct CT-based and PET-based signatures, which were significantly associated with DFS (P & lt; 0.001). Using these signatures, we proposed a radiomics nomogram with a C-index of 0.754 [95% confidence interval (95% CI), 0.709–0.800] in the training set and 0.722 (95% CI, 0.652–0.792) in the test set. Consequently, 206 (29.1%) patients were stratified as high-risk group and the other 501 (70.9%) as low-risk group by the radiomics nomogram, and the corresponding 5-year DFS rates were 50.1% and 87.6%, respectively (P & lt; 0.0001). High-risk patients could benefit from IC while the low-risk could not. Moreover, radiomics nomogram performed significantly better than the EBV DNA-based model (C-index: 0.754 vs. 0.675 in the training set and 0.722 vs. 0.671 in the test set) in risk stratification and guiding IC. Conclusions: Deep learning PET/CT-based radiomics could serve as a reliable and powerful tool for prognosis prediction and may act as a potential indicator for individual IC in advanced NPC.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    URL: Article
    DOI: 10.1158/1078-0432.CCR-18-3065
    RVK:
    XA 36791
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
    detail.hit.zdb_id: 1225457-5
    detail.hit.zdb_id: 2036787-9
    Location Call Number Limitation Availability
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    Online Resource
  • 3
    Online Resource
    Online Resource
    The N Staging System in Nasopharyngeal Carcinoma with Radiation Therapy Oncology Group Guidelines for Lymph Node Levels Based on Magnetic Resonance Imaging
    American Association for Cancer Research (AACR) ; 2008
    In:  Clinical Cancer Research Vol. 14, No. 22 ( 2008-11-15), p. 7497-7503
    Details
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 14, No. 22 ( 2008-11-15), p. 7497-7503
    Abstract: Purpose: To evaluate the prognostic value of variables including nodal size, level, laterality, extranodal neoplastic spread (ENS), and necrosis in patients with nasopharyngeal carcinoma (NPC) and further explore the feasibility of an N-staging system using Radiation Therapy Oncology Group (RTOG) guidelines for lymph node levels based on magnetic resonance imaging (MRI). Experimental Design: The MRI scans of 924 patients with histologically diagnosed nondisseminated NPC were reviewed retrospectively. The distribution of the tumors was mapped using RTOG guidelines and laterality. The multiplicity of each tumor was calculated, as well as the size and status of ENS and the necrosis of individual nodes. Results: Nodal level, cervical lymph node laterality, and ENS were independent prognostic factors for disease failure and distant failure in multivariate analyses. There was no significant difference in the hazard ratios (HR) for distant failure between level II and retropharyngeal, level Ib, level V, or level III involvement, whereas patients with level IV and supraclavicular fossa involvement had a significant increase in HRs. The subsets that made up a given N stage group had similar HRs for distant failure. Both the HRs for disease failure and distant failure by the proposed N staging system between one stage and the next were statistically significant (P & lt; 0.05). The survival curves of disease-free survival and distant metastasis-free survival for all subclassifications of N stage showed significant difference from the adjacent stage (P & lt; 0.05). The overall distribution pattern of the proposed N staging was more equitable than that of the 6th American Joint Committee on Cancer N staging. Conclusions: Nodal variables including level, cervical lymph node laterality, and ENS are independent prognostic factors for NPC. The proposed N staging system of NPC using RTOG guidelines based on MRI is highly predictive and may provide a more objective method for staging NPCs.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    URL: Article
    DOI: 10.1158/1078-0432.CCR-08-0271
    RVK:
    XA 36791
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2008
    detail.hit.zdb_id: 1225457-5
    detail.hit.zdb_id: 2036787-9
    Location Call Number Limitation Availability
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    Online Resource
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