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  • 1
    Online Resource
    Online Resource
    American Thoracic Society ; 2022
    In:  American Journal of Respiratory and Critical Care Medicine Vol. 205, No. 4 ( 2022-02-15), p. 450-458
    In: American Journal of Respiratory and Critical Care Medicine, American Thoracic Society, Vol. 205, No. 4 ( 2022-02-15), p. 450-458
    Type of Medium: Online Resource
    ISSN: 1073-449X , 1535-4970
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    Language: English
    Publisher: American Thoracic Society
    Publication Date: 2022
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  • 2
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2022
    In:  Journal of Clinical Oncology Vol. 40, No. 16_suppl ( 2022-06-01), p. e19574-e19574
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 16_suppl ( 2022-06-01), p. e19574-e19574
    Abstract: e19574 Background: Lymphoma is common cancer worldwide, a large group of lymphoid hematopoietic malignancies including Non-Hodgkin lymphoma (NHL) and Hodgkin lymphoma (HL) two major type. Lymphoma includes more than 30 unique subtypes, originating from B, T and NK cells. Currently, diagnosis and classification of lymphoma is based on excisional lymph node biopsy through immunohistochemistry and in situ hybridization. However, invasive biopsies have significant limitations and carry procedural risks to patients, and it cannot account for spatial inter- and intra-tumor heterogeneity due to sampling from only one location in a single tumor lesion. In the past few years, an emerging class of methods named Liquid biopsy can potentially improve on these limitations. Methods: 135 untreated stage I-IV lymphoma patients and 399 healthy individuals were enrolled in this study. 8ml peripheral blood was collected from each participant after enrollment. Cell-free DNA (cfDNA) was extracted and subjected to shallow whole-genome sequencing (sWGS), and partly plasma was used to quantify the expression of 7 tumor serum protein markers. We developed a newly blood-based assay, which integrated the newly next-generation technology of sWGS of cfDNA and protein marker (CA125), with artificial intelligence (AI) technology. Though our multi-dimensional assay, the cancer risk score (CRS) of each sample were calculated, and was used for lymphoma early diagnosis. Results: After compared each protein marker between lymphoma and healthy groups, only CA125 could be used to screen the lymphoma with a sensitivity of 25.9% at extremely high specificity 98.0% and an area under the curve (AUC) of 69.5%. As for the genomic feature of cfDNA, the characteristics of copy number aberrations (CNA) and fragment size (FS) were significantly different between lymphoma and healthy groups (p value 〈 0.0001 by student’s t-test). Both FS and CNA demonstrated improved sensitivity (36.3% and 67.4% respectively) compared to CA125. When the three signatures were incorporated into the CRS model, it achieved the best performance allowing 95 lymphoma cases to be identified with a sensitivity of 70.4% at 98.0% specificity, and an AUC of 88.0%. In stage I/II and III/IV lymphoma cases, the sensitivity was 40.0% and 85.7% respectively. For each lymphoma subtype, the lymphoma which from B-cell had higher sensitivity than that from NK/T cell (71.0% vs 64.3%), especially in HL (91.7%), all originated from B cell. Conclusions: We newly find the traditional protein marker CA125 can be used for lymphoma screening, which was integrated with genomic feature CNA and FS of cfDNA as a multidimensional assay for early detection of lymphoma with sufficient accuracy. The performance of our efficient and non-invasive assay for detecting lymphoma is 70.4% sensitivity at extremely high specificity 98.0%, especially for 40.0% sensitivity for early patients (stage I/II) screening.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2022
    detail.hit.zdb_id: 2005181-5
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  • 3
    In: Blood, American Society of Hematology, Vol. 140, No. Supplement 1 ( 2022-11-15), p. 6415-6416
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2022
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    detail.hit.zdb_id: 80069-7
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  • 4
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 5111-5111
    Abstract: Here we present a real-time blood-based treatment response monitoring assay SeekInClarity to assess molecular tumor load and response to varied treatment protocols in patients with lymphoma. A novel multidimensional molecular tumor burden (MTB) model was utilized by integrating shallow whole genome sequencing (sWGS) of cfDNA and the levels of a set of plasma protein markers (PTMs) in a single blood draw. Copy number aberrations (CNAs) and fragment size (FS) patterns across the genome from sWGS data and levels of 7 PTMs (AFP, CEA, CA153, CA125, CA199, CYFRA21-1, CA724) are exploited to establish the MTB model.Newly diagnosed patients with lymphoma were radiologically assessed at baseline and periodically reassessed after treat started as determined per standard of care routine clinical assessment. The patients also had 10 ml venous blood samples collected for SeekInClarity at baseline and every two treatment cycles.At baseline, 55(61.1%) of 90 patients were tested positive (MTB & gt;2) by SeekInClarity, implying the high sensitivity. In particular, genome-wide or focal CNA pattern was observed from 52 of 55 positive patients, and FS profile abnormality was witnessed from 31 of 55 positive patients, indicating both features are fundamental and ubiquitous surrogates of tumor burden. Specifically, 8q24.2 is the most frequently amplified region at the baseline, which contains an important oncogene MYC. Moreover, the common regions of deletion were 1p36, 4q21 and 6q21. All these regions are involved in genes related to cancer. Elevated level of PTMs was also reported from 32 patients. All patients received varied combination therapies with chemotherapies as the backbone, and compared with clinical imaging. Patients who underwent the second and the third SeekinClarity tests mostly showed significantly decreased MTB, indicating partial response was achieved under the current regimens. Moreover, two of the patients underwent the fourth SeekInClarity test. One achieved a sustained partial response, but another had higher MTB at the fourth test so resistance may be inferred. And all the results were consistent with the clinical imaging. This proof-of-concept study demonstrated SeekInClarity, a non-invasive, multidimensional multi-omics blood-based assay, can promptly evaluate the treatment response of patients with lymphoma. By implementing this assay, the dynamic change of molecular surrogates (CNA, FS and PTMs) can help physicians to make well-informed decisions on the upcoming therapeutic strategies for each patient in conjunction with imaging. This study is still ongoing, and more cases and more time points are included to demonstrate the clinical performance of the assay comparing to the current standard of care for clinical evaluation of treatment response for lymphoma patients. Citation Format: Xinhua Wang, Yu Chang, Zhiming Li, Yinyin Chang, Dandan Zhu, Shuaipeng Geng, Fangyuan Chang, Shiyong Li, Yan Chen, Mingzhi Zhang, Mao Mao. Prompt assessment of molecular tumor load and treatment response in patients with lymphoma by a blood-based multi-omics approach [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5111.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 5
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2022
    In:  Journal of Clinical Oncology Vol. 40, No. 16_suppl ( 2022-06-01), p. e19547-e19547
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 16_suppl ( 2022-06-01), p. e19547-e19547
    Abstract: e19547 Background: Lymphomas represent a diverse group of diseases that arise from a clonal proliferation of lymphocytes. Periodic imaging is the current standard of care for clinical evaluation of treatment response for lymphoma patients, but It bears obvious shortcomings. Therefore, more accurate method is needed to evaluate treatment effect of Lymphoma. Methods: We present a real-time blood-based treatment response monitoring assay SeekInClarity to assess tumor load and response to varied treatment protocols in patients with lymphoma. A novel multidimensional molecular tumor burden (MTB) model was utilized. Copy number aberrations (CNAs) and fragment size (FS) patterns across the genome from sWGS data and levels of 7 PTMs (AFP, CEA, CA153, CA125, CA199, CYFRA21-1, CA724) are exploited to establish the MTB model. Patients with lymphoma were radiological assessed at baseline and reassessed regularly after treatment. The patients also had 10 ml venous blood samples collected for SeekInClarity at baseline and every two treatment cycles. Results: At baseline, 64.5% (80/124) patients were tested positive by SeekInClarity, implying the high MTB. In particular, genome-wide or focal CNA patterns were observed in 45.2% patients, and FS profile abnormality was witnessed from 42.5% patients, indicating both features are fundamental and ubiquitous surrogates of tumor burden. Elevated level of PTMs was also reported from 23.4% patients. All patients received various combination therapies with chemotherapies or immunotherapies as the backbone, and evaluated efficacy by clinical imaging. MTB evaluations of patients who underwent the follow-up SeekinClarity were compared with clinical imaging results. For the 44 patients who had negative MTB at baseline, 33 of them were performed following SeekinClarity and kept negative after treatment, and their imaging evaluations all showed remarkably curative effect. Furthermore, in the 80 patients with positive MTB, 57 patients were performed subsequent SeekinClarity tests, and a concordance of 81.6% was achieved with clinical evaluation. In addition, there was an 18.8% discordance between imaging evaluation and SeekinClarity. For these who had clinical partial response but unchanged or higher MTB, more tests and clinical evaluations are needed to assure the true clinical outcomes. Conclusions: This proof-of-concept study demonstrated SeekInClarity, a non-invasive, multidimensional multi-omics blood-based assay, can promptly evaluate the treatment response of patients with lymphoma. By implementing this assay, the dynamic change of MTB can help physicians to make well-informed decisions on the upcoming therapeutic strategies for each patient in conjunction with imaging. This study is still ongoing, and more cases and more time points are included to demonstrate the clinical performance of the assay.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2022
    detail.hit.zdb_id: 2005181-5
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  • 6
    In: JCO Global Oncology, American Society of Clinical Oncology (ASCO), Vol. 9, No. Supplement_1 ( 2023-08), p. 116-116
    Abstract: 116 Background: Lymphoma represents a diverse group of cancer that arises from clonal proliferation of lymphocytes. Clinical existing imaging and biomarkers do not reliably predict treatment response across diverse lymphoma subtypes and treatment regimens. Only rare data show circulating tumor DNA (ctDNA) testing may perform as a good predictive biomarker for assessment of therapeutic response. We conducted a prospective study to assess treatment response and predict patient prognosis via our multi-omics assay (SeekInClarity) in lymphoma patients. Methods: SeekInClarity assay utilized common 7 protein tumor markers (PTMs) and cancer genomic hallmarks: copy number aberration (CNA) and fragment size (FS), which were analyzed by shallow whole genome sequencing, to calculate the molecular tumor burden (MTB) score. 8ml peripheral blood samples were collected from patients before and after every 2 cycles of treatment respectively, meanwhile, samples from a part of patients after 1 cycle of treatment were also collected. Results: Before treatment, 95 out of 133 patients (71.4%) were succeeded in detecting cancer signals with higher MTB scores (defined as baseline+). The proportion of patients with baseline+ was higher in patients with higher tumor stages. After 2 cycles of treatment, 39 out of 112 patients had a higher MTB score (defined as MRD+). The proportion of patients with progression in MRD+ group was significantly higher than that in MRD- group (p 〈 0.001). Meanwhile, MRD+ patients had a worse PFS than MRD- patients (p 〈 0.0001, HR: 26.4, 95% CI:8.7~80.3), regardless of tumor stages, lymphoma subtypes and treatment regimens. Among baseline+ patients, after 2 cycles of treatment the patients with MTB score decrease had a better PFS than that with MTB score increase (P 〈 0.001, HR: 7.5 95% CI:0.7~76.7). Among the baseline- group, patients who remained negative after treatment had extremely well PFS (100% PFS). As for the patients after 1 cycle of treatment, MTB value has a good concordance with that after 2 cycles of treatment which demonstrated a lead time in monitoring treatment response. 54 patients with longitudinal monitoring samples, 9(16.7%) patients were always MRD- during the treatment, who had the best PFS (100% PFS), regardless of baseline status. 11 out of 54 patients with always MRD+ had the worst PFS (p 〈 0.05). Conclusions: This study demonstrates the clinical utility of multidimensional blood-based SeekInClarity assay in pan-cancer/pan-indication treatment response assessment and patient prognosis. After treatment, the dynamic change of MTB score and MRD status were independently associated with patient’s PFS, which indicated both could be used as biomarkers to predict the effectiveness of treatment. Compared with clinical image evaluation after 2 cycles of treatment, SeekInClarity test after 1 cycle of treatment is sufficient to assess treatment response.
    Type of Medium: Online Resource
    ISSN: 2687-8941
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2023
    detail.hit.zdb_id: 3018917-2
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  • 7
    In: Cellular Physiology and Biochemistry, S. Karger AG, Vol. 27, No. 5 ( 2011), p. 539-546
    Type of Medium: Online Resource
    ISSN: 1421-9778 , 1015-8987
    Language: English
    Publisher: S. Karger AG
    Publication Date: 2011
    detail.hit.zdb_id: 1482056-0
    SSG: 12
    SSG: 15,3
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  • 8
    In: Cellular Signalling, Elsevier BV, Vol. 22, No. 10 ( 2010-10), p. 1495-1501
    Type of Medium: Online Resource
    ISSN: 0898-6568
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2010
    detail.hit.zdb_id: 1496718-2
    SSG: 12
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  • 9
    Online Resource
    Online Resource
    American Society of Hematology ; 2021
    In:  Blood Vol. 138, No. Supplement 1 ( 2021-11-05), p. 4489-4489
    In: Blood, American Society of Hematology, Vol. 138, No. Supplement 1 ( 2021-11-05), p. 4489-4489
    Abstract: Introduction The disease burden of lymphoid neoplasm has been rising in China over the last decade. But most patients manifest with advanced stage disease at initial diagnosis, and the prognosis is poor with a 5-year survival rate of 38.3%. Here we reported a novel multivariate cancer risk score (CRS) model which is used to detect early lymphoid neoplasm from the peripheral blood. It incorporates three cancer hallmarks, copy number aberrations (CNA) and fragment size (FS) via shallow whole genome sequencing (sWGS) from cell-free DNA (cfDNA), and a panel of seven tumor protein markers in a single blood draw (10ml). Methods 44 newly diagnosed and untreated stage I-IV lymphoid neoplasm patients and 247 healthy individuals with no cancer diagnosis were enrolled in this study. 10ml peripheral blood was collected from each participant after enrollment. cfDNA was extracted and subjected to sWGS whereas plasma was subjected to measure the levels of 7 PTMs. The cancer risk score (CRS) of a subject was calculated via an established CRS model [1]. Results Firstly, genomic and epigenetic features were explored from cfDNA sWGS results. CNA is a ubiquitous genomic hallmark in a wide spectrum of cancers. In this study, 26 of the 44 (59.1%) lymphoid neoplasm patients had CNA in at least one genomic segment ( & gt;5Mb). FS feature of cfDNA bears the correspondence of the epigenetic landscapes of cells that give rise to those cfDNA fragments. When CNA was combined with FS, 29 (65.9%) patients were able to be detected by the CNA+FS classifier. On the other hand, 13 (29.5%) patients were tested positive by PTMs alone, indicating non-DNA molecular surrogates can also serve as cancer biomarkers with acceptable performance. When CNA, FS and PTM were incorporated into a multidimensional and multivariate CRS model, it achieved the best performance allowing 31 (70.0%) lymphoid neoplasm cases to be identified with a positive predictive value (PPV) of 86.1% at 98.0% specificity. The sensitivity of CRS model increases with the advances of disease with a sensitivity of 50.0% in early stage (stage I -Ⅱ) and 90.0% in late stage (stage Ⅲ-Ⅳ). Conclusion In summary, this study provides an efficient and non-invasive method to detect lymphoid neoplasm. Instead of relying only on one dimension of cancer markers, the multidimensional approach which incorporating CNA, fragment size and protein markers is plausible in early detection of lymphoid neoplasm with sufficient accuracy and robustness. Disclosures Zhu: Clinical Laboratories, Shenyou Bio: Current Employment. Li: SeekIn Inc.: Current Employment, Current holder of individual stocks in a privately-held company. Geng: Clinical Laboratories, Shenyou Bio: Current Employment. Chang: Clinical Laboratories, Shenyou Bio: Current Employment. Chen: SeekIn Inc: Current Employment, Current holder of individual stocks in a privately-held company. Mao: SeekIn Inc: Current Employment, Current holder of individual stocks in a privately-held company.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2021
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 10
    Online Resource
    Online Resource
    Elsevier BV ; 2014
    In:  Biochemical and Biophysical Research Communications Vol. 451, No. 2 ( 2014-08), p. 322-328
    In: Biochemical and Biophysical Research Communications, Elsevier BV, Vol. 451, No. 2 ( 2014-08), p. 322-328
    Type of Medium: Online Resource
    ISSN: 0006-291X
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2014
    detail.hit.zdb_id: 1461396-7
    SSG: 12
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