GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 3547-3547
    Abstract: Background: Value is defined as health outcomes achieved per dollar spent. While risk-stratified AL HCT survival estimates are made possible by the Stem Cell Therapeutic Outcomes Database (SCTOD), an assessment of healthcare value is not possible as they do not include cost adjustments based upon clinical risk. We report a risk-based cost analysis, modeled on AL pts undergoing HCT at our institution that can potentially serve as a simple, statistically significant risk-based comparison tool. Methods: All AL pts who underwent HCT at City of Hope between 1/1/2010 and 12/31/2014 were included. Detailed data were captured from multiple electronic record sources in our database. Total direct costs were assessed for each pt from 14 days prior to 100 days post HCT. Categorical data were tested for associations by Chi-square; continuous data that were normally distributed were tested by T-test, while non-normal data were tested by Wilcoxon rank sum test. Univariate and multivariable logistic regression models were used to identify predictors associated with HCT costs ≥ median and ≥ 80th percentile. Univariate and multivariable Cox proportional hazards regression were used to identify predictors of overall survival (OS). All p-values were 2-sided with alpha level of 0.05. Results: This analysis included 389 pts (AML 352; ALL 37); median age was 52.5 years (yr) [range 1-74; 107 (27.5%) age ≥ 60]; 48% were female. At the time of HCT 204 (52%) were in 1st complete remission [CR] , 87 (22%) in 1st relapse (rel)/2nd CR, and 98 (25%) 〉 2nd CR/Induction Failure [IF]; ECOG performance status was ≥1 in 29.5% and Sorrer comorbidity score ≥1 in 56%. 214 (55%) and 175 (45%) received myeloablative (MAC) or reduced intensity (RIC) conditioning regimen, respectively; 231 (59%) had matched unrelated donor [MUD] or mismatched related donor (MRD) HCT. Graft-versus-host prophylactic (GVHD) regimen consisted of tacrolimus/sirolimus for 80% pts. 207 pts were enrolled on a therapeutic intervention trials and 121 had Medicare and/or Medicaid (Medi-Cal) as payer. Median follow-up was 12.9 months. The estimated 1- yr unadjusted OS for the entire group post-HCT was 71% (95% CI 66%-75%), 80% (74%-85%) for pts in 1st CR, 68% (57%-77%) for pts in 1st rel/2nd CR, and 56% (45%-65%) for pts 〉 2nd CR/ IF. OS was similar for sibling matched and MUD/MRD transplants (1-yr OS 73% vs. 70%). In a multivariable analyses, disease status, MUD/MRD donor, MAC regimen, GVHD prophylaxis other than tacrolimus/sirolimus, ECOG ≥1, and Medicare and/or Medicaid as payer significantly predicted for cost ≥ median (Figure1A). Using Akaike Information Criterion (AIC) scores, donor type and disease status at HCT were found to be more informative variables with regard to higher cost of HCT. Disease status, MUD/MRD, MAC regimen, Medicare and/or Medicaid as payer and ECOG ≥1 also significantly predicted cost ≥ 80th percentile (Figure1B). In a multivariable analysis for OS (Figure 1C) , only 〉 2nd CR/IF and HCT cost exceeding median had significantly higher hazard of death. Of note, despite reaching statistical significance in univariate analysis age, cytogenetics, treatment on protocol, and Sorrer score lost significance in adjusted higher costs and OS multivariable models. Conclusions: Our data suggest that: 1. Higher levels of care complexity drive higher costs, 2. Patients with more advanced disease status and inferior performance status have higher costs, 3. Statistically significant drivers of higher care costs are predictable prior to HCT. These risk factors are easily abstractable from medical records and provide prospective, equitably comparisons of risk-based costs between transplant centers. These data compliment the outcomes data available from the SCTOD and may enable providers and payers to make meaningful value comparisons between transplant centers. They may also help establish alternative models for payer contracting that include consideration of clinical risk-stratification. Of note, given the favorable survival outcomes of pts with higher cost-risk features (i.e., advanced disease status at HCT and MUD/MRD), the higher care costs associated with effective care of higher complexity pts are justified. While validation of this model is necessary using large payer or multi-institutional databases, we propose that similar clinical-economic models can be created for pts with other blood cancers requiring high complexity care. Figure 1 Figure 1. Figure 2 Figure 2. Figure 3 Figure 3. Disclosures Forman: Mustang Therpapeutics: Other: Construct licensed by City of Hope.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2016
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 1346-1346
    Abstract: Background: Clinical outcomes for patients with HIV-related lymphomas who have undergone autologous hematopoietic cell transplantation (AHCT) are similar to HIV-negative patients (Alvarnas et al., Blood 2016). Here we report a detailed, longitudinal immunophenotypic and functional evaluation of immune recovery of patients enrolled on the BMT CTN 0803/AMC 071 multicenter phase II study (clinicaltrials.gov NCT01141712). Methods: Comprehensive analysis of cellular immunome was performed using 5 color flow cytometry. Acquisition and analysis was performed via FC500 cytometry analyzers with CXP software and prism plot. Comparisons were made between HIV+ and HIV- cohorts of peripheral blood mononuclear cell (PBMC) subsets at 56, 180, and 360 days post AHCT. The HIV- cohort was collected from 30 multiple myeloma patients enrolled in a longitudinal immune recovery study after AHCT (median age 52.5 years (18-71); 57% male, no post AHCT exposure to IMID or other treatment). Control samples were collected from 72 healthy volunteers (median age of 49 (21-68); 53%, M). A Wilcoxon rank sum test was utilized to compare the HIV+ and HIV- groups to controls and to each other at each time point for 18 immune cell subsets common to all three panels. An unsupervised analysis was performed utilizing a principal component analysis (PCA) to look for overall differences in the cohorts. Similar methodologies were used to compare HIV+ to controls that analyzed 100 PBMC subsets. Functional immune recovery was evaluated by IFNg Elispot assay where 2x105 PBMC collected at each time point were pulsed with control, EBV (BZLF1) or HIV (GAG) pepmix preparations. As a control for TCR responsiveness, anti CD3/CD28 antibody-beads were used to immobilize TCR in ELISPOT assay. T cell responses from PBMCs of each of the three time points of HIV+ patients on trial were compared to PBMCs from HIV- donors (n=6). Results: Wilcoxon Rank sum tests show significant differences between transplant patients and controls and between HIV+ and HIV- patients at all visits. There are fewer cell subsets significantly different at day 365 compared to day 56 or 120 in all comparisons. The PCA showed group differences between HIV+, HIV- and control subjects. CD3+/HLA-DR+ (late activation), CD8+/CD25- (cytotoxic T cells) and CD3+/CD314+ (T cells with activating NKG2D) were found to be more prevalent in HIV+ transplant patients. These findings may be consistent with expanded populations of chronically activated cytotoxic T lymphocytes in HIV+ transplant patients. Subsets of NK, Th1 and Th2 cells showed statistically significant differences between HIV+ (low), HIV- (higher) and controls (higher). When the principal components are plotted by visit there is a pattern of both HIV+ and HIV- transplant patients clustering closer to controls as patients recover from AHCT. The PCA was also utilized to compare the HIV+ cohort to controls which had the same panel of cell subsets tested and allowed for the use of 100 cell subsets in the analysis. This analysis showed a similar group separation and pattern of clustering closer to controls in later visits. These findings demonstrate complex interactions between T and NK cell subsets. Functional assessment of antigen-specific T cell responsiveness was evaluated in Elispot assays with EBV (BZLF1) and HIV (GAG) recall antigens and anti-CD3/CD28 controls. Of 30 evaluable patients, 28 HIV+ patients demonstrated measurable IFNg production in response to GAG (spots/2x105 PBMC, range: 8-615), 21 showed measurable response to BZLF1 pepmix (range 12-450); and all patients demonstrated responsiveness to anti CD3/CD28 stimulation. Magnitude of IFNg production from HIV+ samples was generally higher than that observed healthy, HIV- controls. Assessment of NK cell responsiveness is currently underway. Conclusions: While clinical outcomes following AHCT between HIV+ and HIV- patients is comparable, clear distinctions were observed with immune recovery of specific PBMC subsets during the first year following AHCT with differences diminishing as patients recover post transplant. Longitudinal immune responsiveness of PBMC from HIV+ patients to EBV and HIV recall antigens and TCR stimulation generally showed more robust IFNg production compared to PBMCs from HIV- volunteer controls. These data provide further justification supporting AHCT as an option for HIV+ patients provided they meet standard transplant criteria. Disclosures Little: This study was coordinated by the ECOG-ACRIN Cancer Research Group (Robert L. Comis, MD and Mitchell D. Schnall, MD, PhD, Group Co-Chairs) and supported by the National Cancer Institute of the National Institutes of Health under the following award number: Employment. Noy:Pharmacyclics, LLC, an AbbVie Company: Other: travel, accommodations, expenses, Research Funding. Krishnan:celgene: Consultancy, Speakers Bureau; takeda: Consultancy, Speakers Bureau; janssen: Consultancy, Speakers Bureau; onyx: Speakers Bureau. Hofmeister:Signal Genetics, Inc.: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Arno Therapeutics, Inc.: Research Funding; Incyte, Corp: Membership on an entity's Board of Directors or advisory committees; Janssen: Pharmaceutical Companies of Johnson & Johnson: Research Funding; Karyopharm Therapeutics: Research Funding; Takeda Pharmaceutical Company: Research Funding; Teva: Membership on an entity's Board of Directors or advisory committees. Forman:Mustang Therpapeutics: Other: Construct licensed by City of Hope. Lozanski:Boehringer Ingelheim: Research Funding; Beckman Coulter: Research Funding; Stemline Therapeutics Inc.: Research Funding; Genentech: Research Funding. Baiocchi:Essanex: Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2016
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    In: Biology of Blood and Marrow Transplantation, Elsevier BV, Vol. 26, No. 3 ( 2020-03), p. S304-
    Type of Medium: Online Resource
    ISSN: 1083-8791
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
    detail.hit.zdb_id: 3056525-X
    detail.hit.zdb_id: 2057605-5
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    In: Transplantation and Cellular Therapy, Elsevier BV, Vol. 29, No. 2 ( 2023-02), p. S67-S68
    Type of Medium: Online Resource
    ISSN: 2666-6367
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 3056525-X
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    In: Journal of the National Comprehensive Cancer Network, Harborside Press, LLC, Vol. 14, No. 7 ( 2016-07), p. 837-847
    Type of Medium: Online Resource
    ISSN: 1540-1405 , 1540-1413
    Language: English
    Publisher: Harborside Press, LLC
    Publication Date: 2016
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 6
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 4525-4525
    Abstract: Introduction. Our previous flow cytometry-based comparison of HIV(+) and HIV(-) autologous hematopoietic stem cell transplant (auto-HSCT) recipient immunomes at 56, 180 and 365 days post-transplant to each other and to healthy controls (HCs) showed that both sets of auto-HSCT recipient immunomes approached HCs over time, but retained significant differences. HIV(+), but not HIV(-), auto-AHCT recipients retained pro-inflammatory features consistent with chronic HIV infection. Here, we report the results of a quantitative and functional analysis of immune reconstitution in HIV(+) patients treated with allogeneic hematopoietic stem cell transplant (allo-HSCT), in comparison with HIV(+) auto-HSCT recipients and HCs. Methods. Blood samples were collected for analysis at days 56, 180 and 365 post-transplant from HIV(+) transplant recipients and at 1 time point from HCs. Whole blood analysis was performed by five-color flow cytometry across 100 immune marker combinations. Comparisons were made between HIV(+) allo-HSCT recipients (n=17, acute myeloid leukemia, acute lymphocytic leukemia, myelodysplastic syndrome, Hodgkin and non-Hodgkin lymphoma that received myeloablative or reduced intensity conditioning on the BMT-CTN-0903/AMC-080 trial), HIV(+) auto-HSCT recipients (n=36, aggressive B cell non-Hodgkin lymphoma or Hodgkin lymphoma that received myeloablative conditioning on the BMT-CTN-0803/AMC-071 trial) and 71 HCs. Unsupervised principal component analysis (PCA) examined differences in immune cell proportions, identified by flow cytometry across 100 cell subsets at each time point. Wilcoxon rank-sum tests compared median absolute counts and median proportions of cell subsets. An independent feature importance score analysis (FIS) identified contributions of immune cell populations expressing specific immune marker combinations to the differences between HIV(+) auto-HSCT recipients, HIV(+) allo-HSCT recipients and HCs. Functional responsiveness of HIV(+) allo-HSCT recipients' T cells to stimulation with CD3- and CD28-directed antibodies, NK cells to stimulation with IL-12 and IL-18 and monocytes to stimulation with lipopolysaccharide (LPS) was assessed in a preliminary mass cytometry on peripheral blood mononuclear cells isolated at the same time points (n=2) and compared to HCs (n=2). Results. PCA showed that immunomes of HIV(+) allo-HSCT recipients and HIV(+) auto-HSCT recipients clustered together with each other, but away from HCs at all time points throughout the post-transplant year. FIS identified: 1) 13 cell subsets that defined the difference between HIV(+) allo-HSCT recipients (all visits) and HCs, and 2) 11 immune cell subsets that defined the difference between HIV(+) auto-HSCT recipients (all visits) and HCs; in both of these comparisons, activated CD3+/HLA-DR+ T cells had the greatest impact on the difference between HIV(+) and HC immunomes. At 1 year, both HIV(+) transplant recipient cohorts had higher absolute numbers of activated T cells, effector T cells and CD8+ T cells than HCs (Wilcoxon rank-sum test, p 〈 0.0031). HIV(+) autologous and allogeneic HSCT recipients also had lower numbers of CD4+ T cells, naïve T cells and activated NK cells compared to HCs (p 〈 0.0031). FIS also identified 20 immune cell subsets that defined the difference between HIV(+) autologous and allogeneic HSCT recipients immunomes at 1 year, with CD8+/CD27- effector T cell subset exerting the highest impact on the difference. Preliminary functional mass cytometry analysis of 2 HIV(+) allo-HSCT recipients and 2 HCs showed that: 1) IFNʏ production by CD8+ T cells was increased above that of HCs at all time points. 2) Expanded populations of CD4+/T-bet+ cytotoxic cells expressing granzyme B and perforin, and CD8+ cytotoxic T cells expressing granzyme B and perforin, persisted in HIV(+) allo-HSCT recipients at all time points, but not in HCs. 3) NK cells retained an ability to produce IFNʏ in response to stimulation with IL-12 and IL-18 in HIV(+) allo-SCT recipients. 4) Monocytes showed an enhanced production of TNFα in response to stimulation with LPS in HIV(+) allo-HSCT recipients compared to HCs at 1 year post-HSCT. Conclusion. Chronic HIV infection confers the pro-inflammatory immune features on the phenotypic and functional profiling of the T lymphocyte immunome of stem cell transplant recipients, irrespective of allogeneic or autologous stem cell donor source. Disclosures Devine: Bristol Myers: Other: Grant for monitoring support & travel support; Kiadis Pharma: Other: Protocol development (via institution); Magenta Therapeutics: Other: Travel support for advisory board; My employer (National Marrow Donor Program) has equity interest in Magenta. Noy:Janssen: Consultancy; Medscape: Honoraria; Prime Oncology: Honoraria; NIH: Research Funding; Pharamcyclics: Research Funding; Raphael Pharma: Research Funding. Popat:Bayer: Research Funding; Incyte: Research Funding; Jazz: Consultancy. Hofmeister:Celgene: Honoraria; Janssen: Membership on an entity's Board of Directors or advisory committees; Nektar: Honoraria, Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Imbrium: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees. Navarro:Atara Biotherapeutics: Employment, Equity Ownership. Behbehani:Fluidigm corporation: Other: Travel funding. Lozanski:Boehringer Ingelheim: Research Funding; Beckman Coulter: Research Funding; Stemline Therapeutics Inc.: Research Funding; Genentec: Research Funding. Baiocchi:Prelude: Consultancy.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2019
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 7
    In: Frontiers in Immunology, Frontiers Media SA, Vol. 12 ( 2021-9-3)
    Abstract: We report a first in-depth comparison of immune reconstitution in patients with HIV-related lymphoma following autologous hematopoietic cell transplant (AHCT) recipients (n=37, lymphoma, BEAM conditioning), HIV(-) AHCT recipients (n=30, myeloma, melphalan conditioning) at 56, 180, and 365 days post-AHCT, and 71 healthy control subjects. Principal component analysis showed that immune cell composition in HIV(+) and HIV(-) AHCT recipients clustered away from healthy controls and from each other at each time point, but approached healthy controls over time. Unsupervised feature importance score analysis identified activated T cells, cytotoxic memory and effector T cells [higher in HIV(+)], and naïve and memory T helper cells [lower HIV(+)] as a having a significant impact on differences between HIV(+) AHCT recipient and healthy control lymphocyte composition (p & lt;0.0033). HIV(+) AHCT recipients also demonstrated lower median absolute numbers of activated B cells and lower NK cell sub-populations, compared to healthy controls (p & lt;0.0033) and HIV(-) AHCT recipients (p & lt;0.006). HIV(+) patient T cells showed robust IFNγ production in response to HIV and EBV recall antigens. Overall, HIV(+) AHCT recipients, but not HIV(-) AHCT recipients, exhibited reconstitution of pro-inflammatory immune profiling that was consistent with that seen in patients with chronic HIV infection treated with antiretroviral regimens. Our results further support the use of AHCT in HIV(+) individuals with relapsed/refractory lymphoma.
    Type of Medium: Online Resource
    ISSN: 1664-3224
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2606827-8
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 8
    In: Journal of the National Comprehensive Cancer Network, Harborside Press, LLC, Vol. 13, No. 10 ( 2015-10), p. 1240-1279
    Type of Medium: Online Resource
    ISSN: 1540-1405 , 1540-1413
    Language: English
    Publisher: Harborside Press, LLC
    Publication Date: 2015
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 9
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2013
    In:  Journal of Clinical Oncology Vol. 31, No. 15_suppl ( 2013-05-20), p. e17556-e17556
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 31, No. 15_suppl ( 2013-05-20), p. e17556-e17556
    Abstract: e17556 Background: The Affordable Care Act (ACA) introduced a pay for performance model focused on: safety, timeliness, effectiveness, efficiency, patient-centered, equitable care. COH is an NCI sponsored Comprehensive Cancer Center, focused on cancer care. Methods: In 2011, a physician led team with representation from finance, QRRM, nursing and legal identified 13 quality measures (QM) where opportunities for improvement (OFI) existed. Selection criteria included measurability, importance, applicability to ACA, physician impact, return on investment and national importance. The QM include HCAHPS score, Healthcare Associated Infection rate (HAI), quantity of blood products internally produced (BP), coder response rate (RR), use of sepsis bundle orders, time to new patient appointments (NPA), OR 1st case on-time starts, timeliness of adjuvant therapy for breast/colon cancer patients, SCIP composite score and use of VTE prophylaxis orders. HCP for the first 4 QM was assessed based upon institutional performance; 6 QM were assessed upon departmental performance. There were 3 build measures (BM): creating a system to obtain advanced directives (AD) on all new patients, creating a system for effective communication with referring physicians and 4 departmental BM based on best practices. Results: PEP performance was assessed between 5/1/12-12/31/12. 174 physicians in 11 departments were eligible for a $2.05 million incentive pool. QM were evaluated using a tiered bonus structure. Significant improvements were seen in HAI, BP production, SCIP, OR starts and timely adjuvant therapy. There were improvements in the use of VTE orders, but aggregate performance fell below payment threshold. The build measure for AD was completed. Conclusions: (1) PEP is an effective tool for physician engagement in an academic medical center. (2) PEP enhanced alignment between the medical group, hospital, nursing and administration. (3) PEP was effective in improving HCP in less than one year from its inception. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2013
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 10
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 31_suppl ( 2017-11-01), p. 16-16
    Abstract: 16 Background: Advance Care Planning (ACP) is central to patient-centered care and helps assure treatment aligns with a patient’s goals, values, and priorities. ACP is often poorly incorporated into the hematopoietic stem cell transplantation (HSCT) population, with reported advance directive (AD) rates of 23-50%. At City of Hope National Medical Center (COH), concerted efforts to improve the overall number of ADs in HSCT was undertaken and evaluated. Methods: The Department of Supportive Care Medicine at COH, in collaboration with medical faculty and administrative support, created a patient-centered ACP program. The first two years (2013/2014) broadly focused on all new COH patients. The last two years (2015/2016) included a specific focus on patients undergoing HSCT. The primary goal was a completed AD in the electronic medical record before day 0 of transplant. In addition to provider and transplant team engagement, major time points for supportive care integration to facilitate AD completion were identified including: 1) registration, 2) new patient orientation, 3) the clinical visit when transplant was decided, 4) pre-transplant education class, 5) clinical social work psychosocial assessment visit, and 6) the pre-transplant hospital days. AD completion rates were calculated with Odds Ratio and Mantel-Haenszel Chi-Square using Epi Info StatCalc. Results: Between 2012 and 2016 at COH, 1784 transplants were performed. For HSCT patients in 2012, baseline AD capture rate before day 0 of transplant was 28.6%. With the institutional AD program, the AD capture rate before day 0 of transplant was 31.6% for 2014, compared with 2012 [odds ratio, 1.17(95% CI, 0.85-1.60); p = .33]. With both institutional and hematology specific programs, AD capture rate before day 0 was 69.5% for 2016, compared to 2014[odds ratio, 4.30 (95% CI, 3.14-5.91); p 〈 .001]. Conclusions: Compared to 2012, the institutional AD program in 2014 insignificantly impacted HSCT AD completion rates. Improving the rate of AD completion from 28.6% to 69.5% in HSCT patients required both institutional AD efforts and a targeted program. Nevertheless, more work is needed to improve AD completion rates before transplant to 100%.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...