Skin Cancers Among Chronic Lymphocytic Leukemia (CLL) Patients - the Effect of UV Radiation and CLL Clinical Characteristics

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 4772-4772 ◽  
Author(s):  
Geffen Kleinstern ◽  
Abdul Rishi ◽  
Sara J Achenbach ◽  
Kari Rabe Chaffee ◽  
Neil E. Kay ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Uv Radiation ◽  
Mayo Clinic ◽  
Research Funding ◽  
Sun Exposure ◽  
Prior History ◽  
Skin Cancers ◽  
History Of ◽  
Very High

Abstract Background: It is well established that the incidence of skin cancers in patients with CLL are significantly elevated compared to age- and sex- matched controls. However, little is known about the characteristics of CLL patients who develop skin cancer. Herein, we evaluate the associations of CLL clinical and prognostic characteristics, along with UV radiation exposure, with risk of first skin cancer following CLL diagnosis. Methods: Newly diagnosed CLL patients from Minnesota, Iowa, and Wisconsin were enrolled in the Mayo Clinic case-control study from 2002-2015 and systematically followed in the Iowa/Mayo Lymphoma SPORE. Clinical and prognostic CLL data were obtained from the Mayo Clinic CLL database, and skin cancer clinical data were abstracted from medical records using a standard protocol. The CLL international prognostic index (CLL-IPI) was computed using a weighted average of five independent CLL prognostic factors (IGHV mutational status, serum b2-microglobulin, Rai stage, age, and FISH 17p deletion/TP53 status). Self-reported history of midday sun exposure at various ages (birth to age 12; 13 to 21 years; 22 to 40 years, and 41+ years) was obtained from a risk factor questionnaire. For each age, we asked the extent of mid-day sun as: practically no exposure (under 3 hours per week), little exposure (4-7 hours per week), moderate exposure (8 to 14 hours per week) and extensive exposure (15+ hours per week). Midday sun exposure was modeled as an ordinal covariate. To evaluate associations with risk of skin cancer following CLL diagnosis, we calculated time from date of CLL diagnosis to date of first skin cancer, death, or last known follow-up. We used Cox regression analysis to estimate hazard ratios (HRs) and 95% CIs. CLL treatment was considered a time-dependent covariate. Results: Among 846 CLL patients enrolled, the median age at diagnosis was 63 years (range 28-91), 68% were male, 7% had Rai stage III-IV at diagnosis. Based on the CLL-IPI, 42% were categorized as low risk, 33% as intermediate risk, and 25% as high or very-high risk. 109 CLL cases (13%) had one or more reported skin cancers at or prior to CLL diagnosis. Melanoma was observed in 19 (2%) cases and non-melanoma was in 90 (11%) cases. At a median follow-up of 7 years from CLL diagnosis, 165 patients (20%) had one or more skin cancers after CLL diagnosis. Among these patients, 49 had skin cancer before CLL diagnosis. The most frequent skin cancer was squamous cell carcinoma (59%), followed by basal cell (31%), melanoma (5%), and Merkel cell (1%). 552 (65%) of the 846 patients returned a questionnaire. Significant associations of clinical and prognostic characteristics with risk of first skin cancer were observed for age (HR=1.35 per 10 year increase, 95% CI=1.17-1.56, P<0.001), male sex (HR=1.38, 95% CI 0.98-1.96, p=0.07), prior history of skin cancer (HR=4.19, 95% CI=2.98-5.88, P<0.001), and CLL-IPI (HR=1.26, 95% CI= 1.03-1.54, P=0.026, after adjusting for age, sex, and prior skin cancer). Of note, the risk of first skin cancer in those CLL patients categorized as very high via CLL-IPI had 2.28 fold risk (95% CI 1.02-5.11). Midday sun exposures for each of the ages considered showed no evidence of association with risk of first skin cancer (all P>0.05). 50 CLL patients were treated prior to first skin cancer following CLL diagnosis; we observed no evidence of association between treatment and risk of first skin cancer (HR=1.44, 95% CI= 0.93-1.92, P=0.12). Conclusion: CLL patients who are at an increased risk of skin cancer following CLL diagnosis are those who either have had a prior history of skin cancer or a more aggressive CLL disease at diagnosis, according to CLL IPI. Routine skin cancer screening is currently recommended for CLL patients. Our data suggest that more frequent screening would be particularly important among patients with aggressive CLL and who have a prior history of skin cancer. Unexpectedly, we found no evidence of association of skin cancer risk with UV radiation following CLL diagnosis or with CLL treatment. Further investigation is needed to determine whether other factors increase the risk of skin cancer following CLL diagnosis. Disclosures Shanafelt: Genentech: Research Funding; GlaxoSmithkKine: Research Funding; Janssen: Research Funding; Celgene: Research Funding; Cephalon: Research Funding; Pharmacyclics: Research Funding; Hospira: Research Funding.

Solid Tumors in Patients with Chronic Lymphocytic Leukemia Who Received Frontline Lenalidomide Therapy: Distribution and Clinical Outcomes

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 5573-5573
Author(s):  
Ahmad Alhuraiji ◽  
Lorenzo Falchi ◽  
Michael Keating ◽  
Zeev Estrov ◽  
Paolo Strati ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prostate Cancer ◽  
Clinical Trials ◽  
Radiation Therapy ◽  
Research Funding ◽  
Lymphocytic Leukemia ◽  
Prior History ◽  
Skin Cancers ◽  
History Of

Abstract Introduction: Patients (pts) with Chronic Lymphocytic Leukemia (CLL) are known to have an increased risk of other cancers. Treatment with lenalidomide has been associated with an increased rate of solid tumors (ST) in pts with multiple myeloma (MM). However, the occurrence of ST in patients with CLL receiving therapy with lenalidomide remains unknown. Methods: We evaluated the development of ST in pts with CLL that received front-line treatment with lenalidomide as monotherapy or in combination with rituximab in clinical trials conducted at our institution. We report the characteristics and timing of ST, as well as patient outcome. All pts enrolled had indication for therapy according to the International Workshop on CLL guidelines and no history of malignancy for three years, with the exception of treated malignancy with indolent behavior such as prostate cancer that was treated with surgery or radiation therapy. Results: One-hundred twenty-one pts were enrolled in two consecutive phase II clinical trials of frontline therapy with lenalidomide (N = 61, 51%) or combination of lenalidomide and rituximab (N = 60, 49%). Baseline pts characteristics are shown in Table 1, median age was 66 yrs and 24% of patients were age 70 or older. At a median follow up after lenalidomide therapy of 41 months (range 1-102+), 7 (6%) pts developed a ST: renal cell carcinoma (RCC, 3 pts), localized breast cancer (LCIS and DCIS, 2 pts), pancreatic adenocarcinoma (1 pt) and colon adenocarcinoma (1 pt) (details are shown in Table 2). The median time interval between receiving lenalidomide-based therapy and the development of ST was 1.5 years (range 0-8.5). At the time of this report, 5 out of 7 pts with ST are alive and cancer-free. Two pts died: 12 months and 18 months after developing ST from progression of pancreatic adenocarcinoma and heart failure, respectively. Since pts with CLL have a high rate of non-melanoma skin neoplasms (NMSC), we also monitored patients for new diagnoses of skin cancers. Seven (6%) additional pts developed NMSC, 4 of these pts had prior history of NMSC. All cases of NMSC were superficial and did not require systemic therapy. Additionally, because of the high median age of this population, we reviewed prior history of malignancies. Eleven (9%) pts had history of ST [prostate cancer (N = 9), bladder cancer (N = 1), RCC (N = 1)]. Twenty-two pts (18%) had skin cancers (NMSC, (N = 21) and 1 pt had history of melanoma. None of them had received chemotherapy, two had radiation therapy [prostate cancer = 1, NMSC (basal cell carcinoma of the nose (1 pt)]. All ST were in remission before starting therapy with lenalidomide for more than 3 years as per the inclusion criteria. Conclusions: Seven cases of ST were observed in our population of 121 pts with CLL that received initial therapy with lenalidomide, after a median follow-up of 3.5 years. The most common neoplasm was RCC followed by in-situ breast cancer. In our limited experience the timing, number and type of malignancies do not appear to mirror what was seen in patients with MM. However, this comparison may be limited by the size of our patient population and length of follow-up. Our group reported the incidence of ST in patients treated with FCR. After a similar follow-up the incidence of second malignancies was similar (5.9%), but the type of malignancies was different, although NMSC remained the most common ST in both experiences. Reporting the incidence of other malignancies in patients with CLL enrolled in large studies, including those of novel targeted agents, will help understanding the expected incidence of ST and how novel treatments modulate such risk. Disclosures Jain: Pharmacyclics: Consultancy, Honoraria, Research Funding; ADC Therapeutics: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Honoraria, Research Funding; Celgene: Research Funding; Seattle Genetics: Research Funding; Infinity: Research Funding; Abbvie: Research Funding; Genentech: Research Funding; Incyte: Research Funding; Servier: Consultancy, Honoraria; Novimmune: Consultancy, Honoraria; BMS: Research Funding; Novartis: Consultancy, Honoraria. Thompson:Pharmacyclics: Consultancy, Honoraria.

scholarly journals Dasatinib or Nilotinib Discontinuation in Chronic Phase (CP)-Chronic Myeloid Leukemia (CML) Patients (pts) with Durably Undetectable BCR-ABL Transcripts: Interim Analysis of the STOP 2G-TKI Study with a Minimum Follow-up of 12 Months – on Behalf of the French CML Group Filmc

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 811-811 ◽  
Author(s):  
Delphine Rea ◽  
Franck E. Nicolini ◽  
Michel Tulliez ◽  
Philippe Rousselot ◽  
Francois Guilhot ◽  
...  
Keyword(s):  
Treatment Duration ◽  
Research Funding ◽  
Prior History ◽  
Molecular Response ◽  
Free Survival ◽  
Advanced Phase ◽  
History Of ◽  
Tki Treatment ◽  
Tki Discontinuation

Abstract Background: Tyrosine kinase inhibitors (TKIs) targeting BCR-ABL have revolutionized the prognosis of pts suffering from CML but these drugs are considered as non-definitively curative and current recommendation is to treat pts during their entire lifespan. However, prospective trials such as STIM, TWISTER and EUROSKI suggest that imatinib may be successfully stopped in pts with deep and sustained molecular responses. Here, we report on the feasibility of second generation TKIs discontinuation in the setting of the French STOP 2G-TKI study. Methods: Adult CP-CML pts on dasatinib or nilotinib first line or after imatinib without prior allogeneic transplantation or progression to advanced phase CML were proposed TKI discontinuation when presenting: (1) b2a2 or b3a2 BCR-ABL transcripts subtype, 2) TKI treatment duration for at least 36 months, (3) CMR4.5 achieved and maintained for at least 24 months. The primary objective was treatment-free survival without loss of major molecular response (MMR). After TKI discontinuation, BCR-ABL transcripts were monitored monthly during the first 12 months, every 3 months during the 2ndyear and every 3 to 6 months thereafter. Molecular relapse was defined by MMR loss on a single occasion and triggered TKI reintroduction. Data as of August 1, 2014 are reported in pts with at least 12 months of follow-up (n=52) and median follow-up was 32 months (12-56). Results: Median age was 60 years (34-81) and 61.5% of pts were female. Sokal risk group was low in 58%, intermediate in 23%, high in 13% and unknown in 6%. 2G-TKIs were given after imatinib intolerance in 67% of pts, suboptimal response or resistance to imatinib in 23% and upfront in 10%. Median duration of CML, TKI treatment, 2G-TKI treatment and CMR4.5 was 83 months (36-218), 78 months (36-136), 39 months (19-72) and 28 months (24-64), respectively. Twenty four pts lost MMR after a median time of 4 months (1-38) at last follow-up. Importantly, no loss of CHR or progression to advanced phase CML was observed. The 12- and 24-month probabilities of treatment-free survival without MMR loss were 61.4% (95% CI, 48.1-74.6) and 57% (95% CI, 43.3-70.6), respectively. The majority of relapses occurred within 6 months and in a landmark analysis, pts who were still in MMR without therapy at 6 months had 12- and 24-month probabilities of treatment-free survival without MMR loss of 91.2% (95% CI, 81.6-100) and 84.7% (95% CI, 72.2-97.1), respectively. All pts but 1 who lost MMR restarted 2G-TKI treatment and regained MMR after a median time of 3 months (1-8). Pts in MMR without any therapy (n=28) displayed varying patterns of spontaneous molecular response including stable CMR4.5 in 7 and fluctuations between CMR4.5 and MR4.5, CMR4.5 and MR4, CMR4.5 and MMR in 9, 4 and 4 pts, respectively. Gender, age, prior interferon exposure, 2G-TKI type, treatment duration and duration of CMR4.5 were not found to have any impact on outcome. By contrast, prior history of suboptimal response or resistance to imatinib was associated with a significantly lower chance of successful treatment discontinuation, with a 12-month probability of treatment-free survival without MMR loss of 41.7% (95% CI; 13.8%-69.6%), compared to 67.3% (95% CI, 52.6%-81.8%) in other patients (p=0.04). Conclusions: 2G-TKI could be safely and successfully discontinued in CP-CML pts with long-lasting undetectable BCR-ABL transcripts, especially in those without prior history of suboptimal response or resistance. Most of molecular relapses had an early onset and all were sensitive to 2G-TKI resumption. The recurrence of low levels of detectable residual disease below MMR after 2G-TKI withdrawal did not automatically herald CML relapse and did not preclude the possibility to remain treatment-free. Disclosures Nicolini: Novartis: Consultancy, Honoraria; BMS: Consultancy, Honoraria. Rousselot:Novartis: Research Funding. Gardembas:BMS: Honoraria. Legros:Novartis, BMS: Honoraria. Etienne:Novartis, BMS,Pfizer, ARIAD Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding.

scholarly journals Connect MM®—the Multiple Myeloma (MM) Disease Registry: Incidence of Second Primary Malignancies (SPM)

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 4749-4749
Author(s):  
Robert M. Rifkin ◽  
Rafat Abonour ◽  
Jatin J. Shah ◽  
Jayesh Mehta ◽  
Mohit Narang ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Board Of Directors ◽  
Solid Tumor ◽  
Research Funding ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Prior History ◽  
Advisory Committees ◽  
History Of

Abstract Background: Increased rates of SPM have been observed as newer cancer treatments have improved survival over the past 2 decades (Fraumeni et al. NCI, 2006). Higher incidence of specific types of hematologic SPM following MM, especially acute myeloid leukemia and myelodysplastic syndromes, have been reported relative to the general population (Dores et al. NCI, 2006; Mailankody et al. Blood, 2011; Ravazi et al. Blood, 2011; Landgren and Mailankody. Leukemia, 2014). A complex interplay between myeloma-, host-, environmental-, and treatment-related factors likely contributes to the increased incidence of SPM in MM. Connect MM is the first and largest prospective, observational, US-based, multicenter registry designed to characterize patients (pts), treatment patterns, and outcomes in newly diagnosed MM (NDMM) pts. Methods: Between September 2009 and November 2012,a total of 1493 NDMM pts were enrolled from 234 US sites within 2 mos of the first diagnosis of MM. Patient data were collected at baseline and each subsequent quarter using a standardized form. Invasive SPM included hematologic and solid tumor second cancers and non-invasive SPM were defined as non-melanoma skin cancers (NMSC). SPM incidence and incidence rate (IR; number of pts with SPM per 100 patient-yrs [PY]) were calculated for all pts and by exposure to specific treatments, including lenalidomide (LEN). PYs were calculated as the observation period from the start of treatment until the detection of the first reported SPM (per category), death, or end of follow-up (pt lost or data cutoff). Results: As of Dec 10, 2013, SPM data were available for 1493 NDMM pts. The median age was 67 yrs (range, 24-94 yrs), 82% of patients were white and 57% were male. Median follow-up was 29.0 mos (0-49 mos). The median OS of treated pts was 44.4 mos. Fifty pts did not receive treatment and had no SPM reported. A total of 74 of the 1443 treated pts (5.1%) reported SPM. Invasive SPM were observed in 51 pts (3.5%): 37 pts (2.6%) with solid tumors and 14 pts (1.0%) with hematologic SPM. Lung/bronchus and myelodysplastic syndromes were the most frequently reported solid tumor and hematologic SPM respectively. NMSC were reported for 26 pts (1.8%). 3 pts had both an invasive SPM and NMSC. The IRs for invasive, hematologic, and solid tumor SPM by LEN exposure are listed in Table 1. By multivariate analysis, the only significant risk factor for the occurrence of SPM was prior history of invasive malignancy. Demographics (including age, ethnicity, race, and gender), International Staging System stage, family history of myeloma or other cancers, history of smoldering MM or monoclonal gammopathy of unknown significance, or prior radiation therapy were not associated with the occurrence of SPM. Conclusions: This analysis shows that there was no increased risk of invasive SPM in this disease-specific registry of pts with NDMM. The risk of SPM for LEN exposed pts was not greater than that for pts not exposed to LEN. In addition, multivariate analysis indicated the only significant risk factor for SPM was prior history of invasive malignancy. As additional agents are approved for the treatment of MM and the length of pt survival increases, longer prospective observation with expanded enrollment on the registry will better characterize the occurrence of SPM in this pt population. Correlations with risk factors including age, pre-existing MDS, risk status, as well as type and duration of therapy will continue to be investigated. Table 1. Incidence rates (per 100 PYa) by treatment exposure IR per 100 PY (95% CI) SPM LEN-Exposed (n = 977) Non–LEN Exposed (n = 466) Invasive 0.85 (0.61-1.19) 1.16 (0.72-1.86) Hematologic 0.17 (0.08-0.36) 0.47 (0.22-0.99) Solid tumor 0.67 (0.46-0.98) 0.68 (0.36-1.26) NMSC 0.50 (0.32-0.77) 0.41 (0.18-0.91) a PY of exposure is the sum of exposure of all pts. Disclosures Rifkin: Celgene Corp: Consultancy; Millenium: Consultancy; Onyx: Consultancy; Takeda: Consultancy; Amgen: Consultancy. Abonour:Celgene Corp: Honoraria, Speakers Bureau. Shah:Celgene Corp: Consultancy, Research Funding. Mehta:Celgene Corp: Consultancy, Speakers Bureau. Narang:Celgene Corp: Membership on an entity's Board of Directors or advisory committees. Terebelo:Celgene Corp: Membership on an entity's Board of Directors or advisory committees. Gasparetto:Celgene: Consultancy, Honoraria; Millenium: Honoraria. Thomas:Celgene Corp: Membership on an entity's Board of Directors or advisory committees. Toomey:Celgene Corp: Membership on an entity's Board of Directors or advisory committees. Hardin:Celgene Corp: Research Funding. Lu:Celgene Corp: Employment. Kenvin:Celgene Corp: Employment. Srinivasan:Celgene Corp: Employment, Equity Ownership. Ricafort:Celgene Corp: Employment. Nagarwala:Celgene Corp: Employment. Durie:Celgene Corp: Expert Board Committee Other; IRC Onyx: Membership on an entity's Board of Directors or advisory committees; DMC Millennium: Membership on an entity's Board of Directors or advisory committees; IRC J&J: Membership on an entity's Board of Directors or advisory committees.

scholarly journals Detection of a new melanoma in a patient treated with fingolimod

2019 ◽  
Vol 12 (4) ◽  
pp. e227951 ◽  
Author(s):  
Yves Michiels ◽  
Olivier Bugnon ◽  
Jean-François Michiels ◽  
Sophie Mazellier
Keyword(s):  
Multiple Sclerosis ◽  
Sun Exposure ◽  
Superficial Spreading ◽  
Brown Hair ◽  
Skin Cancers ◽  
Relapsing Remitting ◽  
History Of ◽  
Blue Eyes ◽  
Relapsing Remitting Multiple Sclerosis

In addition to the TRANSFORMS, FREEDOMS, INFORMS studies, very few publications have identified new cases of skin cancer in patients treated with fingolimod. Here, we present the case of a 52-year-old Caucasian patient with relapsing remitting multiple sclerosis for 19 years, with a phototype II with blue eyes, light brown hair, no personal or family history of melanoma and a low number of naevi (<10). She did not experience intense sun exposure in childhood as well as severe sunburn and did not practise sessions in ultraviolet cabins. This case is distinguished from other published cases, usually superficial spreading malignant melanoma by its unclassifiable histological character. The occurrence of skin cancers in patients with multiple sclerosis remains exceptional, but new cases have recently emerged requiring the strengthening of dermatological follow-up of such patients.

Skin Cancer

2018 ◽  
Author(s):  
Adèle C. Green ◽  
Catherine M. Olsen ◽  
David J. Hunter
Keyword(s):  
Skin Cancer ◽  
Cell Carcinoma ◽  
Uv Radiation ◽  
Molecular Mechanisms ◽  
Sun Exposure ◽  
Uv Exposure ◽  
Skin Cancers ◽  
Cells Of Origin ◽  
Solar Ultraviolet

Skin cancer is one of the few types of cancer for which exposure to the major carcinogen, solar ultraviolet (UV) radiation, is strongly implicated on the basis of descriptive epidemiologic data alone. There are three major forms of skin cancer considered in this chapter—melanoma, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC)—and each appears to have different causal relations to the pattern and total amount of sun exposure. High-intensity UV exposure and long-term UV exposure appear to be involved differentially in the various skin cancers and their subtypes. Underlying molecular mechanisms are becoming better understood, though many aspects like the cells of origin and the exact roles of intermediate lesions like actinic keratoses and nevi remain unclear. Because exposure of skin to UV radiation is modifiable, skin cancers are substantially preventable.

scholarly journals Risk Factors for the Development of Skin Cancers in Patients with Chronic Lymphocytic Leukemia: A Retrospective Cohort Study

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 15-16
Author(s):  
Ivan Landego ◽  
Shirley Li ◽  
Chao Xue ◽  
Vincent Poon ◽  
Robert C. Clayden ◽  
...  
Keyword(s):  
Risk Factors ◽  
Skin Cancer ◽  
Chronic Lymphocytic Leukemia ◽  
Cell Carcinoma ◽  
Lower Incidence ◽  
Research Funding ◽  
Lymphocytic Leukemia ◽  
Skin Cancers ◽  
Increased Risk

Introduction: Individuals with chronic lymphocytic leukemia (CLL) are often immunosuppressed and at increased risk of infection and secondary malignancies. The primary aim of this study was to determine the incidence of skin cancer amongst the CLL population at Kingston Health Sciences Centre (KHSC), Ontario, Canada. Secondly, we sought to identify the risk factors associated with the development of skin cancer in CLL patients. Methods: Consecutive patients seen at KHSC with a diagnosis of CLL between 2014 January 1 and 2019 December 31 formed the primary study cohort. KHSC serves a region of ~ 550,000 including a high proportion of older individuals and those living in rural areas. Approval was provided by Queen's University Research Ethics Board. Four independent reviewers conducted retrospective electronic chart review, initially in duplicate with review of any areas of discrepancy to ensure a standardized approach. Data collected included age, sex, CLL date of diagnosis, stage, genetics and treatment; histological diagnoses of other cancers (skin and other), smoking status (ever/never) and date of last follow up or death. The primary outcome was the development of the first skin cancer (squamous cell carcinoma, basal cell carcinoma, melanoma, or sarcoma) confirmed via pathology reports that are available in our local institution. All statistical analysis was performed using SAS Enterprise v. 7.15. Categorical variables were compared using chi-square or Fisher exact tests, medians using Wilcoxon and Mann-Whitney tests, and continuous variables using t-tests. Risk factors for development of skin cancer were assessed using multivarable Cox-proportional hazard models. Results: Of the total cohort of 377 individuals with CLL, 251 (67%) were male. Median age at diagnosis of CLL was 65 years (range 36 - 93 years of age). Median follow-up from the time of CLL diagnosis was 6.5 years (range 0.27 - 30.98). Of these, 80 individuals (21.2%) developed at least one skin cancer after their diagnosis of CLL, with an age-adjusted incidence of 16.96/1000 patient years (95% CI 12.5 - 23). Among the 297 who did not develop skin cancer post-CLL diagnosis, 13 individuals who had documented skin cancer pre-CLL diagnosis only, are included in the non-skin cancer group (Figure 1). Females had a lower incidence of skin cancer compared with males (63 males versus 17 females, p=0.009). There was no difference between the groups based on Rai stage at diagnosis, smoking history, or IGHV /p53 status. Individuals treated with ibrutinib had a lower incidence of skin cancer (3 versus 49, p=0.002). Development of skin cancer was associated with development of other invasive tumours including CLL transformation (p=0.001) (Table 1). Conclusion: Limitations of this study include its small size, and single institution setting. Our data likely reflect a conservative estimate as skin cancers may be diagnosed outside of the institution, and not all CLL is treated at tertiary care centres. Consistent with other studies we found that males with CLL are at increased risk of developing skin cancer, as compared to females. Individuals with CLL and skin cancer were more likely to develop another malignancy or Richter's transformation. The finding of lower incidence of skin cancer with ibrutinib treatment is novel; further investigation in larger populations is needed to determine if it may offer a protective effect. Disclosures Asai: Sanofi Canada: Honoraria, Research Funding; AllerGen NCE: Research Funding; Pfizer: Honoraria, Research Funding; Janssen: Honoraria; Leo Pharma: Honoraria; Eli Lilly: Honoraria; Novartis: Honoraria; Abbvie: Honoraria, Research Funding; Canadian Institutes of Health Research: Research Funding. Hay:Roche: Research Funding; Janssen: Research Funding.

Infectious Complications In a Prospective Cohort of Community Based Newly Diagnosed Patients with Chronic Lymphocytic Leukemia (CLL).

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 4610-4610
Author(s):  
Jonathan Moreira ◽  
Timothy Call ◽  
Kari Rabe ◽  
Randy Wendt ◽  
Clive S. Zent ◽  
...  
Keyword(s):  
Mayo Clinic ◽  
Research Funding ◽  
Infectious Complications ◽  
Community Dwelling ◽  
Lymphocytic Leukemia ◽  
Newly Diagnosed ◽  
Community Based ◽  
History Of ◽  
Culture Negative

Abstract Abstract 4610 Introduction: Infections are a major cause of morbidity and mortality in patients with chronic lymphocytic leukemia (CLL). Up to 50% of patients with CLL will develop infectious complications during the course of their disease, and 30–50% of all deaths from CLL are attributed to infections and infectious complications. The risk of infection in CLL is related to immune deficiencies associated with the primary disease process, as well as immunosuppression secondary to treatment. Available research on infectious complications of CLL has focused on patients in clinical trials receiving chemotherapy. Little is known about the natural history of infection in community dwelling patients with newly diagnosed CLL. Method: To explore the natural history of infection in a local, community dwelling cohort of patients diagnosed with CLL, we used the Mayo Clinic CLL database to identify all patients with newly diagnosed CLL seen in the Mayo Clinic Division of Hematology after January 1, 1999 and who resided within 50 mi of Mayo Clinic (Rochester, MN). All patient hospitalizations were reviewed to document infection including cross-referencing with the electronic Mayo Clinic infection database which includes all culture and serology results obtained from hospitalized Mayo Clinic patients. Patients who had positive blood, sputum, cerebrospinal fluid, pleural fluid, or paracentesis fluid culture results were identified. Patients whose cultures were negative were considered to have culture negative infection. Serologies and viral assays (e.g. CMV viral load) were also reviewed to identify infections. Results: In May 2010, there were 2022 patients in the Mayo Clinic CLL Database with the diagnosis of CLL/SLL made between Jan 1999 – Dec 2009. Of these, 336 (17%) patients resided within a 50 mi radius of Mayo Clinic and were considered non-referred, community-based CLL patients. Median age at diagnosis for these 336 patients was 69 yrs (range 27–97) and most had early stage CLL (57% stage 0; 34% stage I-II). With respect to prognostic markers, 206 (70%) patients were CD38 negative, 125 (64%) ZAP-70 negative, 85 (53%) IgVH mutated, and 101 (63%) had either no abnormality or 13q14- as a sole abnormality on FISH analysis. Consistent with being a community dwelling cohort, ~90% (152/165) of patients had co-morbid health problems and ~50% (86/165) had a major comorbidity (e.g. coronary artery disease, cerebral vascular disease, CHF, diabetes, COPD, other malignancy). Although ~17% (43/249) of patients had gamma-globulin levels below the reference range at diagnosis, only 2% (6/249) had an IgG level <500 mg/dL. Median follow-up for all patients was 49 months (range 0–121) and 104 (31%) patients progressed to require treatment for CLL. Although 222 (66%) patients required hospitalization during follow-up, only 38 (11.3%) were hospitalized with infection. Collectively, these 38 patients were hospitalized for infection 139 times (median 2 hospitalizations for infection per patient). Among these 38 patients, 13 had no organism identified on cultures (culture negative infection) while the remaining 25 (66%) had an organism identified during at least hospitalization for infection. Of the 38 patients hospitalized with infection, 18/38 (47%) had a gram positive organism (8 strep pneumonia, 11 staphylococcus Aureus, 2 nocardia), 11/38 (29%) had a gram negative organism (3 E.Coli, 4 Pseudomonas, 4 Hemophilus influenzae), 5/38 (13%) a mycobacterial infection (4 MAC, 1 M. gordonae), 15/38 (40%) a cytomegalovirus infection, 19/38 (50%), cryptococcus and/or cryptosporidium (18 cryptococcus AG, 4 cryptosporidium), and 12/38 (32%) a filamentous fungi infections (12 aspergillous). In aggregate, hospitalization for an opportunistic infection (e.g. cytomegalovirus, cryptococcus, filamentous fungi, myocobacteria, pneumocystis) occurred in 26/336 (8%) CLL patients during follow-up. Being male (OR 2.7; p=0.02), ZAP-70+ (OR 3.9; p=0.004), IGHV unmutated (OR 5.5; p=0.002), and receiving treatment (OR 4.7, p<0.001; Figure) were associated with increased risk of hospitalization for infection. Conclusions: Approximately 8% of newly diagnosed, community dwelling CLL patients will require hospitalization for opportunistic infection at some point during the course of their disease. Gender, disease factors (e.g. ZAP-70, IGHV status), and treatment characteristics are associated with infection risk. Disclosures: Zent: Genzyme: Research Funding; Genentech: Research Funding; Novartis: Research Funding; G.S.K.: Research Funding. Shanafelt:Celgene: Research Funding; Hospira: Research Funding; Genentech: Research Funding.

Analysis of Pre-Transplant Therapy with Brentuximab Vedotin for Relapsed/Refractory Hodgkin Lymphoma on Outcomes of Reduced Intensity Conditioned Allogeneic Hematopoietic Cell Transplantation

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 4406-4406 ◽  
Author(s):  
Baldeep Wirk ◽  
Barry E. Storer ◽  
David G Maloney ◽  
Ajay K Gopal ◽  
Ryan D Cassaday ◽  
...  
Keyword(s):  
Salvage Therapy ◽  
Research Funding ◽  
Hematopoietic Cell Transplantation ◽  
Brentuximab Vedotin ◽  
Prior History ◽  
Prior Therapy ◽  
History Of ◽  
The Impact ◽  
Refractory Hodgkin Lymphoma

Abstract Background: The impact of prior salvage therapy with brentuximab vedotin (BV) for relapsed/ refractory Hodgkin lymphoma (HL) on long-term outcomes after reduced intensity conditioned (RIC) allogeneic hematopoietic cell transplantation (allo-HCT) is unknown. Early studies (Chen et al Biol Blood Marrow Transplant 2014; 20: 1864-1868) suggested an improved 2-year progression free survival (PFS) with BV salvage given before allo-HCT compared to patients without prior BV treatment. In the current study, we analyzed the impact of prior therapy on the incidence of chronic graft-versus-host disease (cGVHD) and other major outcomes in patients, who received an RIC allo-HCT for relapsed HL. Methods: This is a retrospective study of relapsed/refractory HL patients who had RIC allo-HCT between 2005-2014 at the Fred Hutchison Cancer Research Center. Patients were grouped according to prior history of salvage therapy with or without BV pre allo-HCT. Baseline patient characteristics are shown in the Table. Results: Of the 62 consecutive allo-HCT recipients in this study, 25 had prior therapy with BV (BV group) and 37 received other chemotherapy alone (No BV group) for relapsed HL before allo-HCT. More patients in the BV group were in complete remission at allo-HCT (Table). The 100 day acute GVHD and 5 year cGVHD incidence for the BV vs. no BV group were 58% (95% confidence intervals [CI]: 39%-78%) vs. 65% (95% CI: 50%-80%), p=0.6 and 46% (95% CI: 26%-67%) vs. 51% (95% CI: 35%-68%), p=0.66, respectively. The 5 year non-relapse mortality and relapse/ progression for the BV vs. no BV group were 8% (95% CI: 1%-19%) vs. 25% (95% CI: 11%-38%), p=0.13 and 46% (95% CI: 24%-67%) vs. 38% (95% CI: 22%-53%), p0.98. The 5 year PFS and overall survival for BV vs. no BV group were 46% (95% CI: 25%-68%) vs. 38% (95% CI: 22%-53%), p=0.44 and 78% (95% CI: 60%-95%) vs. 56% (95% CI: 40%-72%), p=0.14. The major cause of death in both groups was relapsed HL. Conclusion: With longer follow-up, similar incidences of cGVHD, PFS and OS were observed in patients who received salvage therapy for relapsed/refractory HL prior to allo-HCT with or without BV. Any potential differences in cGVHD and other major outcomes need to be tested in a larger population. Table 1. Characteristics Prior treatment with Brentuximab vedotin Yes N=25 No N=37 Median age, years (range) 27 (14-47) 32 (17-64) Disease stage at diagnosis, n (%) I II III IV 2 (8)11 (44)7 (28)5 (20) 0 (0)15 (41)12 (32)10 (27) Prior history of local radiation pre allo-HCT 20 (80) 29 (78) No. of prior lines of therapies pre allo-HCT 4 (2 - 10) 3 (2 - 7 ) Prior autologous HCT, n (%) 0 1 2 (tandem auto) 1 (4) 21 (84) 3 (12) 0 (0) 35 (96) 2 (4) Disease status at allo-HCT, n (%) Complete remission Partial remission Progressive disease 9 (36) 13 (52) 3 (12) 7 (19)20 (54)10 (27) Median interval from diagnosis to allo-HCT, months (range) 33 (10.7-222) 30.7 (5-292) Graft type, n (%) Bone Marrow Peripheral blood stem cells 9 (36) 16 (64) 15 (41) 22 (59) Donor type, n (%) Haploidentical Matched related Matched unrelated Mismatch unrelated 16 (64) 5 (20) 4 (16) 0 (0) 17 (46) 14 (38) 5 (14) 1 (2) Conditioning for allo-HCT, n (%) FLU/CY/TBI (2 Gy) FLU/TBI (2 Gy) FLU/TBI (3 Gy) TBI (2 Gy) 16 (64) 6 (24) 1 (4) 2 (8) 17 (46) 15 (40) 0 (0) 5 (14) GVHD prophylaxis, n (%) CNI/MMF/post transplant CY CNI+MMF+/- other 16 (64) 9 (36) 17 (46)20 (54) Median follow-up, months (range) 34 (4 - 99) 84 (34 - 121) Abbrev: FLU fludarabine, CY cyclophosphamide, TBI total body irradiation,CNI calcineurin inhibitor, MMF mycophenolate mofetil Disclosures Maloney: Seattle Genetics: Honoraria; Roche/Genentech: Honoraria; Janssen Scientific Affairs: Honoraria; Juno Therapeutics: Research Funding. Gopal:Gilead, Spectrum, Pfizer, Janssen, Seattle Genetics: Consultancy; Spectrum, Pfizer, BioMarin, Cephalon/Teva, Emergent/Abbott. Gilead, Janssen., Merck, Milennium, Piramal, Seattle Genetics, Giogen Idec, BMS: Research Funding; Millennium, Seattle Genetics, Sanofi-Aventis: Honoraria. Cassaday:Seattle Genetics: Research Funding; Pfizer: Research Funding. Sandmaier:Gilliad: Honoraria; ArevaMed: Honoraria; Jazz Pharmaceutical: Honoraria; Seattle Genetics: Honoraria; Abmit: Research Funding; Bellicum: Research Funding.

scholarly journals Renal Function and Risk of Arterial Thrombotic Events in Patients Positive for Lupus Anticoagulant

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 290-290
Author(s):  
Meaghan Colling ◽  
Florian Posch ◽  
Silvia Koder ◽  
Peter Quehenberger ◽  
Cihan Ay ◽  
...  
Keyword(s):  
Risk Factors ◽  
Renal Function ◽  
Lupus Anticoagulant ◽  
Research Funding ◽  
Prior History ◽  
Thromboembolic Events ◽  
Active Smoking ◽  
History Of ◽  
Prospective Risk

Abstract Background: Patients with lupus anticoagulant (LA) are at risk for arterial and venous thromboembolic events. Recent work suggests that LA positive patients who experience thrombotic events in different vascular beds constitute distinct subgroups. To risk stratify patients, further work is needed to better characterize predictors for thromboembolic events in these subgroups. Aims: The aim of this study was to identify baseline characteristics and laboratory parameters associated with the development of arterial or venous thrombotic events. Methods: Patients with at least 2 previous positive LA tests were serially monitored for thrombotic events within the prospective Vienna Lupus Anticoagulant and Thrombosis Study (LATS). Patients without clinical follow-up were excluded from this analysis. Statistical analysis was performed with RStudio (Version 1.1.442). Results: One-hundred-eighty-seven patients were followed (Table 1) for a median of 11.4 years and 1865 follow-up visits (median visit/patient=9). Fifty-seven prospective thrombotic events (TE), including 27 arterial thrombotic events (ATE) and 30 venous thrombotic events (VTE), were observed. This corresponded to 10-year prospective ATE, VTE and overall thrombosis incidences of 13.9% [95%CI: 8.3, 19.6], 18.8% [12.2, 25.4], and 32.0% [24.1, 39.8], respectively. (Figure 1). Thirty-seven of the 57 events occurred in patients with a prior history of thrombosis ("recurrent thrombosis"). In univariable competing risk analysis, age (subdistribution hazard ratio (SHR) = 1.02, 95% CI: 1.00-1.05, p=0.019), body mass index (BMI, 1.05, 1.00-1.11, p=0.042), history of ATE (3.14, 1.45-6.81, p=0.0038), active smoking (2.16, 1.00-4.62, p=0.049), diabetes (4.16, 1.47-11.8, p=0.0073), VKA use at baseline (0.42, 0.18-0.97, p=0.042), aCL IgM positivity (2.48, 1.05-5.83, p=0.038), aβ 2GPI IgM positivity (2.86, 1.18-6.93, p=0.020), mean platelet volume (1.17, 1.06- 1.30, p=0.0024), creatinine (3.76, 1.32- 10.7, p=0.013), and estimate glomerular filtration rate (eGFR, 0.98, 0.96-0.99, p=0.0011) were associated with prospective risk of ATE (Table 2). Conversely, the prospective risk of VTE was univariably associated only with prior history of VTE (3.26, 1.40-7.68, p=0.0061). After adjusting for traditional arterial thrombotic risk factors (age, sex, BMI, active smoking, diabetes,), history of ATE (SHR = 3.97, 95% CI: 1.71-9.025, p=0.0014), prior history of both ATE and VTE (3.87, 1.06-14.16, p=0.041), creatinine (3.93, 1.22-12.66, p=0.022), and eGFR (CKD-EPI, 0.96, 0.96-0.99, p=0.0037) remained independently associated with prospective risk of ATE (Table 2). In detail, the 10-year cumulative risk of ATE was 24.9% [95%CI: 8.8, 41.0], 15.0% [5.8, 24.2], and 6.7% [2.2, 13.8] in patients with a baseline eGFR less than 60 mL/min/1.73m 2, between 60 and 89 mL/min/1.73m 2, and greater than or equal to 90 mL/min/1.73m 2, respectively (Gray's test, p=0.019, Figure 2). Conclusion: Approximately 14% of patients persistently positive for LA experienced an ATE over 10 years. After adjusting for traditional arterial risk factors, decreased renal function was associated with an increased prospective risk of ATE. Notably, decreased renal function was not associated with development of VTE and the association with ATE was also independent of underlying SLE, LLD, or rheumatic disease (data not shown). Clinically, LA positive patients with decreased renal function may represent a subgroup that might benefit from more aggressive anti-thrombotic therapy or anti-thrombotic prophylaxis. Figure 1 Figure 1. Disclosures Pabinger: Bayer: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Daiichi Sanchyo: Consultancy, Honoraria; Alexion: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; NovoNordisk: Consultancy, Research Funding; CSL Behring: Consultancy, Honoraria, Research Funding.

scholarly journals Surgically resected skull base meningiomas demonstrate a divergent postoperative recurrence pattern compared with non–skull base meningiomas

2016 ◽  
Vol 125 (2) ◽  
pp. 431-440 ◽  
Author(s):  
Alireza Mansouri ◽  
George Klironomos ◽  
Shervin Taslimi ◽  
Alex Kilian ◽  
Fred Gentili ◽  
...  
Keyword(s):  
Skull Base ◽  
Recurrence Rate ◽  
Postoperative Recurrence ◽  
Prior History ◽  
Skull Base Tumors ◽  
Who Grade ◽  
Predictors Of Recurrence ◽  
History Of ◽  
Skull Base Meningiomas

OBJECTIVE The objective of this study was to identify the natural history and clinical predictors of postoperative recurrence of skull base and non–skull base meningiomas. METHODS The authors performed a retrospective hospital-based study of all patients with meningioma referred to their institution from September 1993 to January 2014. The cohort constituted both patients with a first-time presentation and those with evidence of recurrence. Kaplan-Meier curves were constructed for analysis of recurrence and differences were assessed using the log-rank test. Cox proportional hazard regression was used to identify potential predictors of recurrence. RESULTS Overall, 398 intracranial meningiomas were reviewed, including 269 (68%) non–skull base and 129 (32%) skull base meningiomas (median follow-up 30.2 months, interquartile range [IQR] 8.5–76 months). The 10-year recurrence-free survival rates for patients with gross-total resection (GTR) and subtotal resection (STR) were 90% and 43%, respectively. Skull base tumors were associated with a lower proliferation index (0.041 vs 0.062, p = 0.001), higher likelihood of WHO Grade I (85.3% vs 69.1%, p = 0.003), and younger patient age (55.2 vs 58.3 years, p = 0.01). Meningiomas in all locations demonstrated an average recurrence rate of 30% at 100 months of follow-up. Subsequently, the recurrence of skull base meningiomas plateaued whereas non–skull base lesions had an 80% recurrence rate at 230 months follow-up (p = 0.02). On univariate analysis, a prior history of recurrence (p < 0.001), initial WHO grade following resection (p < 0.001), and the inability to obtain GTR (p < 0.001) were predictors of future recurrence. On multivariate analysis a prior history of recurrence (p = 0.02) and an STR (p < 0.01) were independent predictors of a recurrence. Assessing only patients with primary presentations, STR and WHO Grades II and III were independent predictors of recurrence (p < 0.001 for both). CONCLUSIONS Patients with skull base meningiomas present at a younger age and have less aggressive lesions overall. Extent of resection is a key predictor of recurrence and long-term follow-up of meningiomas is necessary, especially for non–skull base tumors. In skull base meningiomas, recurrence risk plateaus approximately 100 months after surgery, suggesting that for this specific cohort, follow-up after 100 months can be less frequent.

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