scholarly journals Infectious Port Complications Are More Frequent in Younger Patients with Hematologic Malignancies than in Solid Tumor Patients

Oncology ◽  
2008 ◽  
Vol 74 (3-4) ◽  
pp. 237-244 ◽  
Author(s):  
Panagiotis Samaras ◽  
Stefan Dold ◽  
Julia Braun ◽  
Peter Kestenholz ◽  
Stefan Breitenstein ◽  
...  
Keyword(s):  
Solid Tumor ◽  
Hematologic Malignancies ◽  
Tumor Patients ◽  
Younger Patients ◽  
Port Complications

scholarly journals Body Composition in Pediatric Solid Tumors: State of the Science and Future Directions

2019 ◽  
Vol 2019 (54) ◽  
pp. 144-148 ◽  
Author(s):  
Lenat Joffe ◽  
Keri L Schadler ◽  
Wei Shen ◽  
Elena J Ladas
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Solid Tumor ◽  
Muscle Wasting ◽  
Imaging Techniques ◽  
Hematologic Malignancies ◽  
Prognostic Indicators ◽  
Composition Analysis ◽  
Tumor Patients ◽  
Skeletal Muscle Wasting

Abstract Sarcopenia (severe skeletal muscle wasting) and sarcopenic obesity (skeletal muscle wasting in the setting of excess fat) have been increasingly recognized as important prognostic indicators in adult oncology. Unfavorable changes in lean and adipose tissue masses manifest early in therapy and are associated with altered chemotherapy metabolism as well as increased treatment-related morbidity and mortality. Existing literature addresses the role of body composition in children with hematologic malignancies; however, data is lacking among solid tumor patients. Advances in imaging techniques for quantification of tissue compartments potentiate further investigation in this highly understudied area of pediatric oncology. The following review presents an in-depth discussion of body composition analysis and its potential role in the care of pediatric solid tumor patients. Integration of body tissue measurement into standard practice has broad clinical implications and may improve quality of life and treatment outcomes in this at-risk population.

Effect of Chemotherapy Treatment on Fetal-Maternal Microchimerism in Parous Cancer Patients.

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 5134-5134
Author(s):  
Gary L. Gilmore ◽  
Melissa M. Holm ◽  
Yuliya Anikanova ◽  
Bushra Haq ◽  
Sri Lakshmi Jasthy ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Solid Tumor ◽  
Hematologic Malignancy ◽  
Post Partum ◽  
Hematologic Malignancies ◽  
Tumor Patients ◽  
Specific Sequence ◽  
Benign Condition ◽  
The Difference ◽  
Primer Sets

Abstract Fetal-maternal microchimerism [MC] is a benign condition arising from cross-trafficking of circulating cells between the fetus and the mother during gestation. It is known that MC persists for decades post-partum. The reported incidence of MC is 33% in normal parous women, but the MC status of cancer patients has not been examined. We have completed our study of 200 parous cancer patients, using a sensitive two-round PCR technique with nested primer sets specific for the Y-chromosome specific sequence, DSY14, to detect male DNA in blood samples from female patients. Exhaustive analysis of samples from parous cancer patients gave a frequency of 34% MC+ [68 of 200], which is significantly lower than the 57% MC+ [114 of 200] we found in normal parous women [p<.0001]. We reported an apparent dichotomy based on diagnosis, in that patients with hematologic malignancies had a greater frequency of MC than solid tumor patients [46% vs 29%; p<.0001]. Both groups received similar numbers of chemotherapy cycles [3.4 cycles for solid tumor patients; 3.2 for hem/onc patients], suggesting this difference was not due to less intensive treatment. When we separated the untreated patients from each population, we found that only 25% [3 of 12] untreated patients with hematologic malignancies were MC, whereas 32% of untreated solid tumor patients were MC+ [12 of 38; p=.66, ns]. Therapy appeared to increase the frequency of MC in hematologic patients to 52% [25 of 48; p=.09, ns], but MC was essentially unaffected in solid tumor patients [27%, 28 of 104; p = .18, ns]. The difference between treated solid tumor patients and those with hematologic malignancies was significant [p=.0001]. Thus, one side effect of chemotherapy may be to increase MC in hematologic malignancy, but in solid tumor patients, MC is not affected. The reason for the increased MC in treated hematologic patients in unclear, but we speculate the reduced frequency in untreated patients is due to dilution by the malignant clone, and that chemotherapy restores the normal balance of blood cells in these patients. The reason for reduced MC in solid tumor patients is also not obvious, as DNA yields are roughly equivalent between the two groups of cancer patients. Further analysis of the data is underway to see if an underlying cause can be determined.

In-hospital mortality of patients admitted through the emergency department of a comprehensive cancer center.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 6125-6125 ◽  
Author(s):  
Ahmed F. Elsayem ◽  
Carmen E. Gonzalez ◽  
S. J. Yeung ◽  
Kelly W. Merriman ◽  
Knox H. Todd
Keyword(s):  
Mortality Rate ◽  
Hospital Mortality ◽  
Cancer Patients ◽  
Solid Tumors ◽  
Solid Tumor ◽  
Hematologic Malignancies ◽  
Comprehensive Cancer Center ◽  
Cancer Center ◽  
Intractable Pain ◽  
Tumor Patients

6125 Background: Cancer is a common presenting condition for emergency departments (EDs); however, there is limited information on outcomes of ED cancer patients subsequently admitted to the hospital. The purpose of this study is to describe outcomes of patients with hematologic malignancies versus those with solid tumors admitted through the ED of a comprehensive cancer center. Methods: We queried the ED database of The University of Texas MD Anderson Cancer Center for calendar year 2010 and linked it to our institutional data warehouse, including tumor registry data. We classified all leukemia and related disorders, lymphoma, multiple myeloma, and bone marrow transplant patients as hematologic malignancies, and remaining cancers as solid tumors. Descriptive statistics, including chi-square, and t-tests were used in two-sided comparisons. All statistical analyses were performed using SPSS version 15. Results: 20,732 total ED visits were made by 9,320 unique cancer patients. Of these, 5,364 (58%) were admitted to the hospital at least once (range 1-13 admits). ED admissions constituted 39% of total unique patients admitted (N=13,753). The main admission indications for solid tumor patients were infectious complications (particularly pneumonia), intractable pain, or dehydration. For hematologic malignancies, the main indication was neutropenic fever. 211/1656 (13%) of liquid tumor patients were admitted to the Intensive Care Unit (ICU) compared to 484/3708 (13%) of solid tumor patients (P=NS). Of all patients admitted through the ED, 587/5364 (10.9%) died during hospitalization. The hematologic hospital mortality rate was 225/1653 (13.6%) versus 362/3708 (9.8%) for solid tumors (P<0.001). Only 242/8389 (3%) of patients admitted directly from outpatient clinics died during the hospitalization (p<0.001). Conclusions: Patients admitted through the ED, particularly those with hematologic malignancies, have a high hospital mortality rate. ED-based palliative care interventions may be justified to improve quality of life and prevent unnecessary costly interventions and ICU admission. Further research should define predictors of poor outcomes in cancer patients admitted through the ED.

Next-Generation Sequencing of Matched Normal Blood Identifies Clonal Hematopoiesis in a Significant Subset of Solid Tumor Patients without Hematologic Malignancies

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 2447-2447
Author(s):  
Catherine C. Coombs ◽  
Ahmet Zehir ◽  
Sean Devlin ◽  
Sumit Middha ◽  
Donavan Cheng ◽  
...  
Keyword(s):  
Solid Tumor ◽  
Hematologic Malignancies ◽  
Normal Blood ◽  
Genomic Profiling ◽  
Hematologic Disease ◽  
Tumor Patients ◽  
Advisory Committees ◽  
Clonal Hematopoiesis ◽  
Generation Sequencing

Abstract Background: Recent genomic studies have identified somatic mutations in leukemia genes in asymptomatic individuals without known hematologic disease. These mutations lead to clonal expansion of hematopoietic cells, in the absence of clinically overt hematologic transformation. This entity is thought to be analogous to other precursor conditions such as monoclonal gammopathy of undetermined significance (MGUS) and monoclonal B-cell lymphocytosis (MBL); consistent with this notion, a subset of patients with clonal hematopoiesis can subsequently develop myeloid malignancies, including myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML). However, the incidence of clonal hematopoiesis in patients with solid tumors has not been extensively studied. Moreover, most genomic profiling platforms used to identify somatic mutations in epithelial tumors use blood as the matched normal control, which may lead to the identification of clonal hematopoiesis in a subset of cancer patients. We therefore sought to assess for clonal hematopoiesis in patients with solid tumors seen at Memorial Sloan Kettering Cancer Center (MSKCC) who were profiled using paired tumor/blood sequencing which is primarily designed to identify tumor-specific mutations. Methods: The study population included patients at MSKCC who were consented on protocol NCT01775072, “Tumor genomic profiling in patients evaluated for targeted cancer therapy.” All patients had tumor and blood genomic profiling sequenced using the MSK-IMPACT hybridization capture-based next-generation sequencing assay, which encompasses all protein-coding exons of 410 cancer-associated genes. For assessment of the incidence and distribution of blood mutations, 3,964 patients consented were evaluated. Patients with known active hematologic malignancies at time of sequencing were excluded from analyses. For comparisons regarding clinical correlations, 2,146 patients were included for whom detailed chart review has been performed. We investigated for the presence of “hotspot” mutations, collected from COSMIC database (v71), in matched blood DNA. Mutations were scored as present in the normal blood if they were detected in more than 8 reads with a variant allele frequency (VAF) greater than 2% which was at least twice the VAF seen in tumor. For cases where at least one mutation exceeded these thresholds, we reduced the VAF threshold in blood to 1% to detect secondary events. Mutations where VAF in the normal blood and the tumor sample were both greater than 30% were excluded as likely germline events. Results: Clonal hematopoiesis was identified in 108/3,964 solid tumor patients who had paired tumor/blood sequencing (2.7% of all patients); 7 patients had 2 unique mutations. DNMT3A mutations were most frequent, occurring in 34% of patients with clonal hematopoiesis (Figure 1). 107/115 mutations (93%) were in known leukemia-associated genes. We collected and analyzed detailed clinical parameters for 2,146 patients, including 42 patients (2.0%) with clonal hematopoiesis. The mean age at the time of testing was 62.1 years in patients with clonal hematopoiesis and 57.2 years in patients without evidence of clonal hematopoiesis (p = 0.015). When comparing baseline blood parameters, there were no statistically significant differences between the two groups. 62% of patients with clonal hematopoiesis had previous radiation therapy compared to 45% of patients without clonal mutations in their blood (p = 0.046). There was no statistically significant difference in the proportion of patients who had received previous chemotherapy (71% of patients in each group). On prospective follow up of patients with clonal hematopoiesis, no patients have progressed to develop overt MDS or AML, though median follow up was limited (median 11.7 months, range 5.5-16.7 months). Conclusions: Clonal hematopoiesis in solid tumor patients without known hematologic disease is common and is associated with increasing age and prior radiation therapy. In our cohort, no patients with clonal hematopoiesis progressed to overt MDS or AML though follow up is limited. Ongoing prospective observation of these patients is imperative to determine the clinical impact of these mutations after ongoing exposure to cytotoxic therapy. Further data including updated clinical and genomic correlates will be presented. Reference: Cheng DT et al. J Mol Diagn 2015 May; 17(3): 251-64. Figure 1. Figure 1. Disclosures Hyman: Chugai Pharma: Consultancy; Biotherapeutics: Consultancy; Atara: Consultancy, Honoraria. Levine:Loxo Oncology: Membership on an entity's Board of Directors or advisory committees; CTI BioPharma: Membership on an entity's Board of Directors or advisory committees; Foundation Medicine: Consultancy.

scholarly journals A TTP-incorporated scoring model for predicting mortality of solid tumor patients with bloodstream infection caused by Escherichia coli

2021 ◽  
Author(s):  
Qing Zhang ◽  
Hao-Yang Gao ◽  
Ding Li ◽  
Chang-Sen Bai ◽  
Zheng Li ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
High Risk ◽  
Bloodstream Infection ◽  
Solid Tumor ◽  
Prognostic Scores ◽  
Risk Scores ◽  
Youden Index ◽  
Tumor Patients ◽  
Scoring Model ◽  
Significant Difference

Abstract Background Few mortality-scoring models are available for solid tumor patients who are predisposed to develop Escherichia coli–caused bloodstream infection (ECBSI). We aimed to develop a mortality-scoring model by using information from blood culture time to positivity (TTP) and other clinical variables. Methods A cohort of solid tumor patients who were admitted to hospital with ECBSI and received empirical antimicrobial therapy was enrolled. Survivors and non-survivors were compared to identify the risk factors of in-hospital mortality. Univariable and multivariable regression analyses were adopted to identify the mortality-associated predictors. Risk scores were assigned by weighting the regression coefficients with corresponding natural logarithm of the odds ratio for each predictor. Results Solid tumor patients with ECBSI were distributed in the development and validation groups, respectively. Six mortality-associated predictors were identified and included in the scoring model: acute respiratory distress (ARDS), TTP ≤ 8 h, inappropriate antibiotic therapy, blood transfusion, fever ≥ 39 °C, and metastasis. Prognostic scores were categorized into three groups that predicted mortality: low risk (< 10% mortality, 0–1 points), medium risk (10–20% mortality, 2 points), and high risk (> 20% mortality, ≥ 3 points). The TTP-incorporated scoring model showed excellent discrimination and calibration for both groups, with AUC being 0.833 vs 0.844, respectively, and no significant difference in the Hosmer–Lemeshow test (6.709, P = 0.48) and the chi-square test (6.993, P = 0.46). Youden index showed the best cutoff value of ≥ 3 with 76.11% sensitivity and 79.29% specificity. TTP-incorporated scoring model had higher AUC than no TTP-incorporated model (0.837 vs 0.817, P < 0.01). Conclusions Our TTP-incorporated scoring model was associated with improving capability in predicting ECBSI-related mortality. It can be a practical tool for clinicians to identify and manage bacteremic solid tumor patients with high risk of mortality.

Clinical prediction of bacteremia and early antibiotics therapy in patients with solid tumors

2021 ◽  
pp. 1-7
Author(s):  
Jonathan M. Hyak ◽  
Mayar Al Mohajer ◽  
Daniel M. Musher ◽  
Benjamin L. Musher
Keyword(s):  
Solid Tumors ◽  
Solid Tumor ◽  
Cardiopulmonary Arrest ◽  
Tertiary Care ◽  
Organ Transplant ◽  
Antibiotic Use ◽  
Care Hospital ◽  
Tumor Patients ◽  
Binomial Regression ◽  
Sirs Criteria

Abstract Objective: To investigate the relationship between the systemic inflammatory response syndrome (SIRS), early antibiotic use, and bacteremia in solid-tumor patients. Design, setting, and participants: We conducted a retrospective observational study of adults with solid tumors admitted to a tertiary-care hospital through the emergency department over a 2-year period. Patients with neutropenic fever, organ transplant, trauma, or cardiopulmonary arrest were excluded. Methods: Rates of SIRS, bacteremia, and early antibiotics (initiation within 8 hours of presentation) were compared using the χ2 and Student t tests. Binomial regression and receiver operator curves were analyzed to assess predictors of bacteremia and early antibiotics. Results: Early antibiotics were administered in 507 (37%) of 1,344 SIRS-positive cases and 492 (22%) of 2,236 SIRS-negative cases (P < .0001). Of SIRS-positive cases, 70% had blood cultures drawn within 48 hours and 19% were positive; among SIRS negative cases, 35% had cultures and 13% were positive (19% vs 13%; P = .003). Bacteremic cases were more often SIRS positive than nonbacteremic cases (60% vs 50%; P =.003), but they received early antibiotics at similar rates (50% vs 49%, P = .72). Three SIRS components predicted early antibiotics: temperature (OR, 1.7; 95% CI, 1.31–2.29; P = .0001), tachycardia (OR, 1.4; 95% CI, 1.10–1.69; P < .0001), and white blood-cell count (OR, 1.8; 95% CI, 1.56–2.14; P < .0001). Only temperature (OR, 1.6; 95% CI, 1.09–2.41; P = .01) and tachycardia (OR, 1.5; 95% CI, 1.09–2.06; P = .01) predicted bacteremia. SIRS criteria as a composite were poorly predictive of bacteremia (AUC, 0.57). Conclusions: SIRS criteria are frequently used to determine the need for early antibiotics, but they are poor predictors of bacteremia in solid-tumor patients. More reliable models are needed to guide judicious use of antibiotics in this population.

Tumor-associated antigen-based personalized dendritic cell vaccine in solid tumor patients

2020 ◽  
Vol 69 (7) ◽  
pp. 1375-1387
Author(s):  
Qian-Ting Wang ◽  
Ying Nie ◽  
Sheng-Nan Sun ◽  
Tao Lin ◽  
Ru-Jin Han ◽  
...  
Keyword(s):  
Dendritic Cell ◽  
Solid Tumor ◽  
Dendritic Cell Vaccine ◽  
Cell Vaccine ◽  
Tumor Patients ◽  
Tumor Associated Antigen

scholarly journals Autoantibody Inhibitor Eradication In Acquired Hemophilia Associated with Cancer: a Retrospective Analysis.

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 1418-1418 ◽  
Author(s):  
Khendi T White ◽  
Anita Aggarwal ◽  
Marisanta Napolitano ◽  
Craig M. Kessler
Keyword(s):  
B Cell ◽  
Solid Tumor ◽  
Research Funding ◽  
Hematologic Malignancies ◽  
Acquired Hemophilia ◽  
Term Survival ◽  
Fviii Inhibitor ◽  
Underlying Malignancy ◽  
Fviii Activity

Abstract Abstract 1418 Introduction: Acquired hemophilia (AH), a rare autoimmune disorder primarily of adults, is typically characterized by the presence of IgG oligoclonal antibodies to the clotting factor VIII protein (FVIII). About 10–15% of patients with AH have an underlying malignancy, but the etiologic relationship of cancer to formation of FVIII inhibitor is yet to be determined. To date, there have been no published, comprehensive reviews on the efficacy of various treatments for AH in the context of either solid tumor or hematologic malignancies. Therefore, we have systematically reviewed 86 patients with cancer-associated AH from our own cancer center and from the published literature. Methods: The literature search for this systematic review was performed using PubMed MEDLINE, Ovid MEDLINE, CINAHL, SCOPUS, and Embase. The search terms included various combinations of “acquired”, “cancer”, “factor VIII”, “hemophilia A”, “autoantibodies”, and “treatment.” The major criterion for inclusion was a diagnosis of cancer before or within three months after appearance of acquired inhibitor. Both solid and hematologic malignancies were included. Any report that did not document a FVIII inhibitor titer and/or FVIII activity was excluded. Success in inhibitor eradication has been defined as undetectable inhibitor and normalization of FVIII activity. All articles with an abstract in English published in the period from January 1985 to July 2010 were considered. Results: 86 cases of AH were collected and analyzed according to classification of cancer and efficacy of treatments for inhibitor and malignancy. The mean age is 67.8 years. 74% of patients were of Caucasian or European background, 8% were of Asian descent, and 2% were of African descent. AH was associated with solid malignancy in 50 cases (58%) and hematologic malignancy in 36 cases (42%). Among all AH cases, 15% and 14% of patients had lymphoma and CLL, respectively. Of the solid tumors, lung and prostate carcinoma (each 12%) occurred with the greatest frequency followed by colorectal (9%) and bladder (5%). Not all patients had treatment for their underlying cancer, bleeding and/or inhibitor. Complete eradication (CE) of inhibitor was achieved in 48 patients (56%), no eradication (NE) in 22 (26%), and 16 (18%) had unknown status. Of the 73% of patients with CE, 22 were treated with chemotherapy, 10 were treated with surgery, and 1 with both (Table 1). In this series, there was a trend towards successful inhibitor eradication with treatment of B-cell lymphoproliferative malignancies as well as lung and prostate cancer. Long term survival was best achieved when successful CE and treatment of underlying malignancy occurred concurrently. Conclusions: This literature and case series suggests that AH is associated almost equally with hematological and solid tumor malignancies. These retrospective data suggest that treatment of the cancer with chemotherapy or surgery is very likely to induce eradication of the autoantibody inhibitor. There is a trend for increased success in CE in B-cell lymphoproliferative malignancies and selected solid tumors. Long term survival appears dependent on concurrent CE and treatment of the cancer. Disclosures: Kessler: Grifols S.A.: Research Funding; Baxter-Immuno: Research Funding; NovoNordisk: Research Funding.

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