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  • 1
    In: Cancer, Wiley, Vol. 117, No. 6 ( 2011-03-15), p. 1163-1171
    Type of Medium: Online Resource
    ISSN: 0008-543X
    Language: English
    Publisher: Wiley
    Publication Date: 2011
    detail.hit.zdb_id: 1479932-7
    detail.hit.zdb_id: 1429-1
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  • 2
    In: Blood, American Society of Hematology, Vol. 118, No. 21 ( 2011-11-18), p. 3855-3855
    Abstract: Abstract 3855 BACKGROUND The life expectancy of patients with myeloproliferative neoplasms (MPNs) is overall shorter than that of the general population. This is considered true for patients with polycythemia vera and primary myelofibrosis. A recent study by our group showed an inferior relative survival also for patients with essential thrombocythemia. Relative survival of MPN patients improved over the last decades but an excess mortality was observed among patients with all subtypes also during recent calendar periods. To elucidate the underlying causes of this excess mortality, we assessed the causes of death using a competing risk model in a large cohort of patients diagnosed with MPNs in Sweden 1973–2005 and compared the findings to those of matched controls. PATIENTS AND METHODS Patients were identified from the Swedish Cancer Registry and through our national MPN network. Matched controls without a hematological malignancy were identified through the Swedish Register of Total Population. Causes of death were identified using the Swedish Cause of Death Registry with follow-up until 2007. Cox regression was used to identify hazard ratios (HRs) with 95% confidence intervals (CIs) of dying from six different categories of death; infection, solid tumor, hematological malignancy, cardiovascular disease, cerebrovascular disease and other conditions. A competing risk analysis based on the Cox proportional hazards model was performed and results presented as stacked cumulative incidence plots. RESULTS We identified 9,563 MPN patients and their 37,643 controls. Forty-seven per cent of patients were males and the median age at diagnosis was 70 years. The distribution of cause specific deaths was similar for all MPN subtypes. The following results represent all MPN subtypes taken together. As expected, the probability of dying from any cause during the first 10 years after diagnosis was higher for cases compared to controls. For example, in MPN patients aged 70–79 at diagnosis the HR of dying from infection was 2.8 (CI 2.3–3.3), solid tumor HR=1.2 (1.1–1.4), hematological malignancy HR=∞, cardiovascular disease HR=1.5 (1.4–1.7), cerebrovascular disease HR=1.5 (1.3–1.8) and other disorders HR=2.1 (2.0–2.3). The probability of dying was higher in older persons and this age related effect was more pronounced in cases than controls. The overall mortality was very low in the youngest age group, so whilst in relative terms the risk of dying is far greater in the cases than the controls, in absolute terms the actual number of patients dying is quite small. For example the HR of dying from infections was 22.6 (8.4–60.8) and from cardiovascular disease HR=4.4 (2.8–7.0) in cases diagnosed between ages 18–49 years. In the competing risk model, studying male patients diagnosed between ages 70–79 during the calendar period 1993–2000 the overall probability of dying was 74% compared to 49% in controls within 10 years from diagnosis (Figure 1). The distribution of probabilities of cause specific death for cases and controls (within parenthesis) were infection 4.9% (2.4 %), solid tumors 9.9% (10.9%), hematological malignancy 13.4% (0.2%), cardiovascular disease 17.2% (15.3%), cerebrovascular disease 5.6% (5.0%) and other disorders 23.2% (15.1%) (Figure 1). The 10-year mortality rates decreased with calendar period for both cases and controls, both genders and for all age groups. The probability of dying from hematological malignancy in MPN patients remained the same over all calendar periods. The risk of cardiovascular death showed the largest decrease over time; however the decrease in risk was similar for both cases and controls (Figure 2). SUMMARY/CONCLUSIONS MPN patients in all subgroups had a higher probability of dying during the first 10 years after diagnosis compared to controls, mainly explained by death from a hematological malignancy. The major decrease in cardiovascular death in patients over the calendar periods is probability the main contributing factor to the improvement in 10-year survival. However, an almost identical trend was observed among controls suggesting a general improvement in the management of cardiovascular disease. Taken together the reason for the observed improvement in survival in MPN patients over time is probably multifactorial and is not only attributed to the management of the underlying hematological disorder per se. Studies elucidating contributing factors are ongoing. Disclosures: Björkholm: Shire: Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2011
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 3
    In: Blood, American Society of Hematology, Vol. 114, No. 22 ( 2009-11-20), p. 1378-1378
    Abstract: Abstract 1378 Poster Board I-400 Background: Acute myeloid leukemia (AML) is the most common type of acute leukemia in adults and is rapidly fatal without specific therapy. In a recently published population-based study we showed large differences in 1- and 5-year relative survival in AML patients in Sweden depending on age at diagnosis and year of diagnosis[1]. Here we use an alternative approach to study patient survival that simultaneously estimates the proportion of patients cured from AML and the survival time of those patients that are not cured. The cure proportion provides a better estimate of long-term survival than 5-year survival and is therefore of direct interest to patients and health care professions. Methods: We conducted a population-based cohort study including 6,439 patients aged 19-79 diagnosed with AML in Sweden 1973 to 2001. Patients are considered statistically cured when, as a group, their mortality returns the level of a comparable general population. We estimated mixture cure fraction models that provide estimates of both the cure proportion and the distribution of survival times of the “uncured”. Age at diagnosis was classified into four categories 19-40, 41-60, 61-70 and 71-80 and year of diagnosis was modeled using restricted cubic splines. Results: During the first years of the study period the cure fraction was less than 5% for all age groups and the median survival time for “uncured” approximately 0.5 years or less. In 2000 the estimated cure proportion was 68% (95% CI 56%-77%) for the youngest age group, 32% (25-39%) for those aged 41-60, 8.4% (3.1-21%) for those aged 61-70 at diagnosis and 4.3% (2.3-8.1%) for the oldest age group. The estimated median survival times for “uncured” were 0.74 (0.43-1.26), 0.71 (0.53-0.97), 0.69 (0.51-0.95) and 0.37 (0.31-0.44) years respectively (Table 1). The improvement in survival manifested as longer survival among the uncured during the early calendar years but increases in the cure proportion were observed during later years. Conclusion: There are large differences in the proportion cured between the age groups. In younger patients the cure proportion has increased dramatically, while survival of the “uncured” actually decreased in the last time period. In the older age groups improvement is merely seen within the survival of the “uncured”. [1] Derolf AR, Kristinsson SY, Andersson TM-L, Landgren O, Dickman PW, Björkholm M. Improved patient survival for acute myeloid leukemia: A population-based study of 9,729 patients diagnosed in Sweden 1973-2005. Blood. 2009 Apr 16;113(16):3666-72. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2009
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 4
    In: Blood, American Society of Hematology, Vol. 126, No. 23 ( 2015-12-03), p. 1786-1786
    Abstract: Background: Hematologic response criteria in AL amyloidosis are based on reduction of FLCs and correlate with organ improvement and survival in the front-line setting (Palladini 2012). Hematologic progression is defined from complete response (CR) as any detectable monoclonal (m) protein or abnormal FLC ratio (light chain must double); and from partial response (PR) as a 50% increase in serum or urine m-protein to 〉 0.5g/dl or 200mg/d respectively; or a 50% increase in FLC to 〉 10mg/dL based on consensus criteria (Gertz 2005); while cardiac and renal progression criteria have recently been validated (Palladini 2012 & 2014). Trials enrolling relapsed pts define measurable disease by a difference in FLC (dFLC) 〉 5mg/dl such that accurate responses (VGPR, PR) can be assessed. However, many pts with hematologic and/or organ progression fail to meet dFLC 〉 5mg/dL set by inclusion criteria (if progression from CR) or the high bar of FLC 〉 10mg/dL set by the progression criteria and are ineligible for clinical trials. Composite criteria for progression of disease involving both hematologic measures and biomarkers of organ damage do not exist. The goal of the current study was to characterize pts with AL and evidence of progressive disease who were ineligible for clinical trials in order to determine the magnitude of this problem and define potential AL study populations whose medical needs are not being met. Methods: Previously treated AL pts screened for clinical trials from 5/2013 to 5/2015 at Memorial Sloan Kettering Cancer Center and Tufts Medical Center were reviewed retrospectively. Trials included 1) phase I/II trial of carfilzomib (NCT01789242), 2) phase I trial of ixazomib (NCT01318902) and 3) phase III trial of ixazomib/dexamethasone versus physician's choice (NCT01659658). Inclusion for all 3 required relapsed AL with dFLC 〉 5mg/dl and evidence of organ damage. Pts with progressive hematologic and/or organ disease (by consensus or validated criteria) who were screened for these trials were included in this analysis. Results: Among 36 pts screened, 33% (N=12) enrolled. Yet, 67% (N=24) with hematologic (N=14), cardiac (N =6) and/or renal (N=11) progression were ineligible. Median age was 61 years (range, 41-78); prior lines of therapy were 1 in 38%, 2 in 38% and 〉 2 in 25%. Median BNP, TROP, serum ALB, eGFR and 24hr urine total protein were: 283pg/mL (36-2197), 0ng/mL (0-0.09), 3.4g/dL (1.3-4.8), 66ml/min (7-128) and 1800 mg/24hrs (trace-12,875), respectively. Median involved FLC was 6.48mg/dl (0.93-52.6) and dFLC 4.69mg/dl (0.01-52). 58% (14/24) were ineligible due to dFLC 〈 5mg/dl, which was the most common reason for screen failure despite meeting hematologic and/or organ criteria for progression. Others were excluded for multiple myeloma (N=2), cardiac stage III (N=4), prior malignancy (N=1), number of prior therapies (N=1) and low creatinine clearance (N=2). 92% (22/24) have received therapy: 19 off study, 2 on alternate trials and 1 eventually qualified with dFLC 〉 5mg/dl; 2 are being monitored for FLC progression with unclear clinical implications. One-third of patients ineligible for these trials have died. Conclusions: The finding that only 1/3 of pts with AL amyloidosis and hematologic or organ progression requiring therapy are eligible for clinical trials demonstrates the limitations of the current definitions of progression and "measurable disease" criteria for enrolling relapsed pts on trials. The necessary decision to treat pts with organ progression in advance of their meeting a criterion for FLC progression (to 〉 10mg/dl) indicates that this arbitrarily defined value needs to be revised. Moreover, time to next therapy rather than progression free survival (as currently defined) is a more relevant clinical trial end point. More sensitive, validated hematologic progression and composite criteria defining progression of hematologic and organ disease are critically needed to identify patients whose level of hematologic disease progression and risk of organ damage is at variance with current criteria as defined by FLCs. This will enable novel therapies that have the potential to reduce the risks of end-stage organ failure and death to be tested in this population. Disclosures Landau: Spectrum Pharmaceuticals: Honoraria; Prothena: Consultancy, Honoraria; Onyx: Honoraria, Research Funding; Janssen: Consultancy; Janssen: Consultancy; Takeda: Research Funding. Comenzo:Prothena: Research Funding; Janssen: Research Funding; Karyopharm: Research Funding; Takeda Millennium: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; Takeda Millennium: Membership on an entity's Board of Directors or advisory committees. Landgren:BMJ Publishing: Honoraria; Bristol-Myers Squibb: Honoraria; Celgene: Honoraria; Medscape: Honoraria; Onyx: Honoraria; International Myeloma Foundation: Research Funding; Onyx: Research Funding; BMJ Publishing: Consultancy; Medscape: Consultancy; Bristol-Myers Squibb: Consultancy; Celgene: Consultancy; Onyx: Consultancy. Giralt:CELGENE: Consultancy, Honoraria, Research Funding; TAKEDA: Consultancy, Honoraria, Research Funding; JAZZ: Consultancy, Honoraria, Research Funding, Speakers Bureau; AMGEN: Consultancy, Research Funding; SANOFI: Consultancy, Honoraria, Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2015
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 5
    In: Blood, American Society of Hematology, Vol. 113, No. 5 ( 2009-01-29), p. 1175-1183
    Abstract: Transplant recipients have been reported to have an increased risk of solid cancers but most studies are small and have limited ability to evaluate the interaction of host, disease, and treatment-related factors. In the largest study to date to evaluate risk factors for solid cancers, we studied a multi-institutional cohort of 28 874 allogeneic transplant recipients with 189 solid malignancies. Overall, patients developed new solid cancers at twice the rate expected based on general population rates (observed-to-expected ratio 2.1; 95% confidence interval 1.8-2.5), with the risk increasing over time (P trend 〈 .001); the risk reached 3-fold among patients followed for 15 years or more after transplantation. New findings showed that the risk of developing a non–squamous cell carcinoma (non-SCC) following conditioning radiation was highly dependent on age at exposure. Among patients irradiated at ages under 30 years, the relative risk of non-SCC was 9 times that of nonirradiated patients, while the comparable risk for older patients was 1.1 (P interaction 〈 .01). Chronic graft-versus-host disease and male sex were the main determinants for risk of SCC. These data indicate that allogeneic transplant survivors, particularly those irradiated at young ages, face increased risks of solid cancers, supporting strategies to promote lifelong surveillance among these patients.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2009
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 6
    In: Blood, American Society of Hematology, Vol. 120, No. 25 ( 2012-12-13), p. 4929-4937
    Abstract: Insulin-like growth factor-1 (IGF-1), insulin, and IL-6 are dysregulated in multiple myeloma pathogenesis and may also contribute to multiple myeloma etiology. To examine their etiologic role, we prospectively analyzed concentrations of serologic markers in 493 multiple myeloma cases and 978 controls from 8 cohorts in the Multiple Myeloma Cohort Consortium. We computed odds ratios (ORs) and 95% confidence intervals (CIs) for multiple myeloma per 1-SD increase in biomarker concentration using conditional logistic regression. We examined heterogeneity by time since blood collection (≤ 3, 4- ≤ 6, and 〉 6 years) in stratified models. Fasting IGF binding protein-1 concentration was associated with multiple myeloma risk within 3 years (OR, 95% CI per 1-SD increase: 2.3, 1.4-3.8, P = .001) and soluble IL-6 receptor level was associated within 6 years after blood draw (OR ≤ 3 years, 95% CI, 1.4, 1.1-1.9, P = .01; OR4- ≤ 6 years, 95% CI, 1.4, 1.1-1.7, P = .002). No biomarker was associated with longer-term multiple myeloma risk (ie, 〉 6 years). Interactions with time were statistically significant (IGF binding protein-1, P-heterogeneity = .0016; sIL6R, P-heterogeneity = .016). The time-restricted associations probably reflect the bioactivity of tumor and microenvironment cells in transformation from monoclonal gammopathy of undetermined significance or smoldering multiple myeloma to clinically manifest multiple myeloma.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2012
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 7
    Online Resource
    Online Resource
    American Society of Hematology ; 2013
    In:  Blood Vol. 122, No. 6 ( 2013-08-08), p. 1088-1089
    In: Blood, American Society of Hematology, Vol. 122, No. 6 ( 2013-08-08), p. 1088-1089
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2013
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 8
    In: Blood, American Society of Hematology, Vol. 113, No. 25 ( 2009-06-18), p. 6386-6391
    Abstract: Pesticides are associated with excess risk of multiple myeloma, albeit inconclusively. We included 678 men (30-94 years) from a well-characterized prospective cohort of restricted-use pesticide applicators to assess the risk of monoclonal gammopathy of undetermined significance (MGUS). Serum samples from all subjects were analyzed by electrophoresis performed on agarose gel; samples with a discrete or localized band were subjected to immunofixation. Age-adjusted prevalence estimates of MGUS were compared with MGUS prevalence in 9469 men from Minnesota. Associations between pesticide exposures and MGUS prevalence were assessed by logistic regression models adjusted for age and education level. Among study participants older than 50 years (n = 555), 38 were found to have MGUS, yielding a prevalence of 6.8% (95% CI, 5.0%-9.3%). Compared with men from Minnesota, the age-adjusted prevalence of MGUS was 1.9-fold (95% CI, 1.3- to 2.7-fold) higher among male pesticide applicators. Among applicators, a 5.6-fold (95% CI, 1.9- to 16.6-fold), 3.9-fold (95% CI, 1.5- to 10.0-fold), and 2.4-fold (95% CI, 1.1- to 5.3-fold) increased risk of MGUS prevalence was observed among users of the chlorinated insecticide dieldrin, the fumigant mixture carbon-tetrachloride/carbon disulfide, and the fungicide chlorothalonil, respectively. In summary, the prevalence of MGUS among pesticide applicators was twice that in a population-based sample of men from Minnesota, adding support to the hypothesis that specific pesticides are causatively linked to myelomagenesis.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2009
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 9
    Online Resource
    Online Resource
    American Society of Hematology ; 2012
    In:  Blood Vol. 120, No. 9 ( 2012-08-30), p. 1754-1756
    In: Blood, American Society of Hematology, Vol. 120, No. 9 ( 2012-08-30), p. 1754-1756
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2012
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 10
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 2105-2105
    Abstract: *Equally Contributed Introduction: Recent studies show better progression-free (PFS) and overall survival (OS) for newly diagnosed multiple myeloma (NDMM) pts achieving MRD negativity by multicolor flow cytometry (MFC) or next-generation sequencing (NGS). Here, we report on the comprehensive assessment of MRD in a uniformly treated cohort of 45 MM patients (Korde et al. ASH 2013). Methods: 45 NDMM pts were treated with 8 cycles of combination therapy (carfilzomib, lenalidomide and dexamethasone) followed by 2 years of maintenance lenalidomide. Median potential follow-up was 17.3 mos. All patients were evaluated by NGS by LymphoSIGHT™ method. Briefly, using universal primer sets, we amplified immunoglobulin heavy and kappa chain (IGH and IGK) variable, diversity, and joining (VDJ) gene segments from genomic DNA obtained from CD138+ BM cell lysate or cell free bone marrow (BM) aspirate at baseline. A MM clonotype was defined as an immunoglobulin rearrangement identified by NGS at a frequency 〉 =5%. MRD assessment by NGS, MFC and PET was repeated when patients achieved a complete response (CR) or completed 8 cycles of therapy. In a subset of patients, we performed NGS in peripheral blood (plasma) at baseline and after 2 cycles of treatment. Results: 40/45 (89%) of pts achieved VGPR or better after combination therapy. At least one clonal rearrangement was identified in 31/34 (91%) of BM CD138+ cell samples and in 34/45 (76%) of cell free BM aspirates; overall clonal rearrangement was detected in 37/45 (82%) bone marrow aspirates at baseline. Repeat MRD assessment at CR or the completion of 8 cycles in 32 pts show residual disease in cell free BM aspirates by NGS in 18 (56% of pts tested and 40% of the total study population). Estimated 12-mo and 18-mo PFS for MRD neg vs. pos by NGS was 100% vs 94% and 100% vs 84%, respectively (p=0.025). MFC testing for MRD was feasible in 43/44 pts (98%). PFS probabilities at 12-mo and 18-mo for flow neg vs pos was 100% vs 79% and 100% vs 63%, respectively (p=0.0022). Among pts assessed by both MRD methods (n=31), 23 samples were concordant (9 pos and 14 neg); among 8 discordant cases, all were positive by sequencing and negative by flow (p=0.0078). Abnormal PET scans were noted in 38/45 (84%) of pts at baseline. 24/43 (56%) pts at CR or after 8 cycles of CRd had a neg/dec PET response and 19/43 (44%) pts had a pos/partial PET response. At 12-mo and 18-mo, PFS by a neg/dec PET response vs pos/partial PET response was 100% vs 89% and 92% vs 89%, respectively (p=0.54). Furthermore, in 14 pts, we performed NGS in peripheral blood samples collected at baseline. At least one MM clonotype identified in baseline BM was detectable in corresponding plasma sample in 13/14 pts. Number of myeloma-specific molecules per million diploid genomes in the plasma was 3-log fold lower than in the BM (median 252 vs 730,950 MM specific clonal molecules per million diploid genomes). After 2 cycles of CRd treatment, 12/13 pts were still pos by serum electrophoresis and/or immunofixation while only 1 had detectable myeloma clonotypes in the plasma. Conclusions: This prospective evaluation of MRD testing in MM has several key findings: 1. Detection of myeloma-specific clonotypes by NGS of the Immunoglobulin VDJ segments in the BM is feasible in majority of pts with NDMM. 2. MRD detection by NGS compares favorably to MFC since all pts with residual disease by MFC are also MRD positive by sequencing; an additional 8 pts who were MRD negative by flow MFC were MRD positive by sequencing. 3. MRD negativity by MFC and NGS are both associated with significantly better PFS. 4. Detection of myeloma-specific clonotypes by NGS of the immunoglobulin VDJ segments (i.e. cell free DNA) in the peripheral blood plasma is feasible in NDMM pts at diagnosis; however, since tumor load in the plasma is 〉 2000-fold lower than in the BM; using standard volumes of peripheral blood (plasma), the levels of myeloma-specific clonotypes were too low to be quantified already after 2 cycles of combination therapy. This was true despite presence of positive serum electrophoresis and/or immunofixation. Additional studies to understand the dynamics of the myeloma clonotype level in peripheral blood plasma are necessary to determine optimal MRD testing regimen. Disclosures Faham: Sequenta, Inc.: Employment, Equity Ownership, Membership on an entity's Board of Directors or advisory committees. Moorhead:Sequenta, Inc.: Employment.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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