3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Types of second primary cancers influence survival in chronic lymphocytic and hairy cell leukemia patients

      letter

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Second primary cancers (SPCs) are becoming more common as the survival in cancer is improving, and they are of main concern in cancers of good survival because they may cause early mortality. Here we want to test the hypothesis that the type of SPC is critical for survival and we further posit that the survival time can be predicted from the fatality of these cancers as first primary cancers. We test the hypotheses on two leukemias with good survival, the common chronic lymphocytic leukemia (CLL) and the rare hairy cell leukemia (HCL). In the comparison of survival rates we use relative survival to avoid biases in the definition of the cause of death. CLL is characterized by the gradual accumulation of small phenotypically mature malignant B lymphocytes in the blood, bone marrow, and lymph nodes 1 . CLL may be preceded by monoclonal B-cell lymphocytosis, which evolves to CLL through genetic changes including somatic mutations and chromosomal aberrations 1 . Many patients are diagnosed at an asymptomatic stage and may not initially require treatment. Management of symptomatic patients includes chemotherapy with alkylating agents and purine analogs, combination of chemotherapy and immunotherapy, and drugs that target key signaling pathways 1,2 . Survival rates for patients with CLL have continuously improved mainly due to more efficient treatment 2,3 . Increased survival rates increase the likelihood of SPCs, which may potentially interfere with survival. Elevated risks for SPC have been reported in patients with CLL, including non-melanoma skin cancer, melanoma, sarcoma, and lung, renal, and prostate cancers 4,5 . It was reported that CLL patients with second malignancies have a worse relative survival than non-CLL patients with the same second malignancies 6,7 . HCL is a B-cell disease with common somatic BRAF mutations. Many patients have an indolent course and no therapies are required 8 . Therapies were developed in 1990 based on purine analogs, which achieved good response rates, and more recently targeted treatments have become available including inhibition of the mutated BRAF kinase 8 . Since 1990, relative survival has been close to the background population among patients diagnosed before the age of 60 years and has now improved to ~90% even among elderly people 8 . Increased risks of SPCs in HCL patients have been reported for Hodgkin and non-Hodgkin lymphoma (NHL) and for thyroid cancer 9,10 . We used data from the Swedish Cancer Registry to assess survival in CLL and HCL with and without SPCs. In addition, we grouped SPCs into three ‘prognostic groups’ based on 5-year relative survival of these cancers as first primary cancer 11,12 : ‘good survival’ (relative survival > 60%) included cancers in the lip, larynx, anus, breast, cervix, endometrium, prostate, testis, male genitals, kidney, bladder, melanoma, skin (squamous cell, SCC), eye, thyroid gland and endocrine, and Hodgkin lymphoma; ‘moderate survival’ (40–60%) included cancers in the remaining upper aerodigestive tract, salivary glands, small intestine, colorectum, female genitals, bone and connective tissue, and NHL and ‘poor survival’ (<40%) included cancers in the stomach, esophagus, liver, pancreas, lung, ovary and nervous system, and myeloma. Relative survival was calculated by using the observed survival in the patient cohort divided by the expected survival obtained from the general cancer-free population (can be identified from the nation-wide cancer registry), matched on age, sex, calendar period, county, and socioeconomic status. The expected survival was calculated with the Ederer II method 13 . The standard error of the observed survival was estimated by Greenwood’s formula 14 . Patients diagnosed between 1991 and 2015 were included in the study. Relative survival in adult patients (>20 years), with and without SPC, was measured from the time of diagnosis until death, immigration or 2015, whichever came first. Multivariable Cox proportional hazard regression model adjusting for sex, age at and calendar year of first cancer diagnosis and socioeconomic status was applied to assess hazard ratios (HRs) among patients with SPC in different prognostic groups compared to patients without SPC. In this model, the diagnosis of SPC was treated as a time-dependent variable in order to avoid the immortal time bias 15 . Trend test was performed by considering patients without any SPC, with SPC of good, moderate, and poor prognosis as continuous variable. All statistical analyses were performed in SAS (version 9.4) and R software. The study was approved by the ethical committee of the University of Lund. Among 9338 CLL patients, a total of 1571 were diagnosed with SPC (16.8%) after a median (interquartile, 1–7) follow-up time of 4 years; 5639 deaths were recorded and of these 1122 (19.9%) were in patients diagnosed with a SPC. Among 718 HCL patients, a total of 119 were diagnosed with SPC (16.6%) after a median (interquartile, 2–11) follow-up time of 7 years; of 234 HCL deaths, 57 (24.4%) were recorded in patients with SPC. For CLL patients with second cancer of poor prognosis, the two main SPCs were lung and brain cancers, for those with moderate prognosis, they were NHL and colorectal cancer, and for those with good prognosis, they were skin (squamous cell) and prostate cancers. In HCL patients with second cancer, the two main SPCs were the same as with CLL in three groups of different prognosis. Corresponding case numbers, relative survival and 95% confidence intervals (CIs) for CLL are detailed in Supplementary Table 1. Figure 1 shows relative survival for CLL and HCL, with and without SPC, and in patients with SPC in the three prognostic groups. For CLL, survival was significantly better (non-overlapping 95%CIs) for patients with SPC compared to those without SPC in the first year and years 2–5 after diagnosis (Fig. 1a, and Supplementary Table 1). The survival rate was reversed in subsequent years but was not significant. For HCL, the data between patients with and without SPC were essentially similar: in year 1, patients with SPC had significantly better survival than those without SPC but survival was reversed at subsequent periods, yet the differences were not significant (Fig. 1b, Supplementary Table 1). CLL patients in the good prognostic group showed excellent survival during the first years but with time the rate equalized with that of moderate prognosis (Fig. 1c). In the poor prognostic group, survival was lower at all follow-up times and the rates differed significantly from patients without SPC in follow-up times after year 1. For HCL the survival of good and moderate prognosis patients did not differ but those for poor prognosis were modestly suppressed (significant for years 7–16 years compared to patients without SPC). Fig. 1 Relative survival in CLL and HCL patients according to diagnosis of SPC. Relative survival stratified by period (with 95% confidence interval) are shown for patients with and without SPC (a for CLL and b for HCL) as well as for patients with SPC of the good, morderate and poor prognosis (c for CLL and d for HCL). SPC second primary cancer, CLL chronic lymphocytic leukemia, HCL hairy cell leukemia Patients had to survive some time to be diagnosed with SPC, which is a condition for immortality bias. To better understand the effect of different prognostic groups on the survival in SPC, a time-dependent analysis was necessary to avoid the bias. Multivariable Cox proportional hazard regression was performed by treating SPC diagnosis as time-dependent variable (Table 1). CLL patients with diagnosis of SPC of good prognosis experienced worse survival compared to those without any SPC diagnosis (HR = 1.76, 95%CI: 1.61–1.92). Patients with SPC of moderate (HR = 2.18, 1.76–2.70) and poor prognosis (HR = 5.83, 4.83–7.03) survived even worse. The trend test for HRs was highly significant (P-trend = 2 × 10–16). For HCL, the HRs for patients with SPCs of good, moderate, and poor prognosis were, respectively, 1.69 (1.11–2.57), 2.15 (0.92, 5.02), and 13.34 (4.92–36.33) and the trends were also significant (P-trend = 5 × 10−6). Table 1 Hazard ratio in patients diagnosed with SPC of good, moderate and poor prognosis compared to those without SPC Years since diagnosis SPC of good prognosis SPC of moderate prognosis SPC of poor prognosis P-trend N HR (95% CI) N HR (95% CI) N HR (95% CI) CLL 681 1.76 (1.61–1.92) 177 2.18 (1.76–2.70) 220 5.83 (4.83–7.03) 2 × 10−16 HCL 31 1.69 (1.11–2.57) 11 2.15 (0.92–5.02) 9 13.34 (4.92–36.33) 5 × 10−6 Diagnosis of second cancer of unknown primary was not considered in any prognostic groups The data shows that even for cancers with relatively good overall survival, those with SPC are a subgroup for whom survival may essentially deviate from patients without SPC and who may often be forgotten in prognostic evaluations. SPCs are a challenging issue concerning cancer survival and attempts to increase patient outcome cannot disregard the effect of SPCs. We tested, for the first time, the hypothesis that survival in SPCs would follow the survival experience known for first primary cancers. The hypothesis appeared to be correct and the trend tests between prognostic groups were highly significant, especially for CLL with large case numbers. Patients with SPC presented good survival in the early stage of follow-up time which is known as immortal time but experienced poor survival after diagnosis of SPC. This pattern of survival may indicate that some active drugs have led to better outcomes early but also caused mutations that subsequently lead to second malignancies. Early mortality in CLL and HCL may be caused by severe infections. If the patient dies, SPCs may remain underreported. Another reason for underreporting of SPCs could be less vigilant diagnostic procedures in ill or frail patients 16 . Such underreporting may be a complication in survival studies thus masking the influence of SPCs but can be detected in the analysis of follow-up trends. Supplementary information Supplementary Table 1

          Related collections

          Most cited references13

          • Record: found
          • Abstract: found
          • Article: not found

          Second malignancy risks after non-Hodgkin's lymphoma and chronic lymphocytic leukemia: differences by lymphoma subtype.

          Previous studies have shown increased risks of second malignancies after non-Hodgkin's lymphoma (NHL) and chronic lymphocytic leukemia (CLL); however, no earlier investigation has quantified differences in risk of new malignancy by lymphoma subtype. We evaluated second cancer and leukemia risks among 43,145 1-year survivors of CLL/small lymphocytic lymphoma (SLL), diffuse large B-cell lymphoma (DLBCL), or follicular lymphoma (FL) from 11 Surveillance, Epidemiology, and End Results (SEER) population-based registries during 1992 to 2006. Among patients without HIV/AIDS-related lymphoma, lung cancer risks were significantly elevated after CLL/SLL and FL but not after DLBCL (standardized incidence ratio [SIR], CLL/SLL = 1.42, FL = 1.28, DLBCL = 1.00; Poisson regression P for difference among subtypes, P(Diff) = .001). A similar pattern was observed for risk of cutaneous melanoma (SIR: CLL/SLL = 1.92, FL = 1.60, DLBCL = 1.06; P(Diff) = .004). Acute nonlymphocytic leukemia risks were significantly elevated after FL and DLBCL, particularly among patients receiving initial chemotherapy, but not after CLL/SLL (SIR: CLL/SLL = 1.13, FL = 5.96, DLBCL = 4.96; P(Diff) < .001). Patients with HIV/AIDS-related lymphoma (n = 932) were predominantly diagnosed with DLBCL and had significantly and substantially elevated risks for second anal cancer (SIR = 120.50) and Kaposi's sarcoma (SIR = 138.90). Our findings suggest that differing immunologic alterations, treatments (eg, alkylating agent chemotherapy), genetic susceptibilities, and other risk factors (eg, viral infections, tobacco use) among lymphoma subtypes contribute to the patterns of second malignancy risk. Elucidating these patterns may provide etiologic clues to lymphoma as well as to the second malignancies.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Choosing the relative survival method for cancer survival estimation.

            The methods on how to calculate cumulative relative survival have been ambiguous and have given differences in empirical results. The gold standard for the cumulative relative survival ratio is the weighted average of age-specific cumulative relative survival ratios, with weights proportional to numbers of patients at diagnosis. Mathematics and representative empirical materials from the population-based Finnish Cancer Registry were studied for the different relative survival methods and compared with the gold standard. The theoretical and empirical results show a good agreement between the method suggested in 1959 by Ederer and Heise (the so-called Ederer II method) and the gold standard. This result is in part due the fact that as follow-up time increases the conditional (annual) relative survival ratios become increasingly more independent of age. Moreover, the dependence between the excess mortality due to cancer and the baseline general mortality does not introduce an important enough selection in practice to cause a notable bias. The use of the method by Ederer and Heise, multiplication of the annual relative survival ratios, instead of direct standardisation, should be considered in future applications. This would be particularly important for the long-term follow-up when age-specific relative survival is not available in the oldest age categories. Copyright © 2011 Elsevier Ltd. All rights reserved.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Chronic lymphocytic leukemia is associated with decreased survival of patients with malignant melanoma and Merkel cell carcinoma in a SEER population-based study.

              To delineate outcomes of malignant melanoma (MM) and Merkel cell carcinoma (MCC) in patients with chronic lymphocytic leukemia (CLL) or non-Hodgkin's lymphoma (NHL). We identified patients with MM or MCC reported to the Surveillance, Epidemiology, and End Results program and analyzed the effects of history of CLL/NHL on overall (OS) and cause-specific survival after MM or MCC. Expected survival was derived from patients with MM or MCC without CLL/NHL. From 1990 to 2006, 212,245 patients with MM and 3,613 patients with MCC were identified, of whom 1,246 with MM and 90 with MCC had a prior diagnosis of CLL/NHL. Patients with MM and a history of CLL/NHL had worse-than-expected OS as measured by standardized mortality ratio (SMR; SMR for CLL, 2.6; 95% CI, 2.3 to 3.0; SMR for NHL, 2.3; 95% CI, 2.1 to 2.6). MM cause-specific survival was worse than expected for patients with a history of CLL (SMR, 2.8; 95% CI, 2.2 to 3.4) or NHL (SMR, 2.1; 95% CI, 1.7 to 2.6). Among patients with MCC, OS was worse than expected for those with a history of CLL (SMR, 3.1; 95% CI, 2.2 to 4.3) or NHL (SMR, 1.9; 95% CI, 1.3 to 2.8). MCC cause-specific survival was worse than expected for patients with a history of CLL (SMR, 3.8; 95% CI, 2.5 to 5.9), but no difference was observed for NHL (SMR, 0.9; 95% CI, 0.4 to 2.1). Patients with CLL before diagnosis of MM or MCC have significantly worse OS and MM or MCC cause-specific survival than those without a history of CLL/NHL.
                Bookmark

                Author and article information

                Contributors
                +496221421800 , K.Hemminki@dkfz.de
                Journal
                Blood Cancer J
                Blood Cancer J
                Blood Cancer Journal
                Nature Publishing Group UK (London )
                2044-5385
                26 March 2019
                26 March 2019
                April 2019
                : 9
                : 4
                : 40
                Affiliations
                [1 ]ISNI 0000 0004 0492 0584, GRID grid.7497.d, Division of Molecular Genetic Epidemiology, , German Cancer Research Center (DKFZ), ; Im Neuenheimer Feld 580, D-69120 Heidelberg, Germany
                [2 ]ISNI 0000 0001 2190 4373, GRID grid.7700.0, Faculty of Medicine, , University of Heidelberg, ; Heidelberg, Germany
                [3 ]ISNI 0000 0001 1271 4623, GRID grid.18886.3f, Division of Genetics and Epidemiology, , The Institute of Cancer Research, ; London, UK
                [4 ]ISNI 0000 0001 0930 2361, GRID grid.4514.4, Center for Primary Health Care Research, , Lund University, ; 205 02 Malmö, Sweden
                [5 ]ISNI 0000 0001 0670 2351, GRID grid.59734.3c, Department of Family Medicine and Community Health, Department of Population Health Science and Policy, , Icahn School of Medicine at Mount Sinai, ; New York, USA
                [6 ]ISNI 0000 0000 8661 1590, GRID grid.411621.1, Center for Community-based Healthcare Research and Education (CoHRE), Department of Functional Pathology, School of Medicine, , Shimane University, ; Matsue, Japan
                [7 ]ISNI 0000 0001 1271 4623, GRID grid.18886.3f, Division of Molecular Pathology, , The Institute of Cancer Research, ; London, UK
                [8 ]ISNI 0000 0004 0410 2071, GRID grid.7737.4, Cancer Gene Therapy Group, Faculty of Medicine, , University of Helsinki, ; Helsinki, Finland
                [9 ]ISNI 0000 0000 9950 5666, GRID grid.15485.3d, Comprehensive Cancer Center, , Helsinki University Hospital, ; Helsinki, Finland
                Author information
                http://orcid.org/0000-0003-4337-9017
                http://orcid.org/0000-0002-8599-2971
                http://orcid.org/0000-0002-6133-0164
                http://orcid.org/0000-0002-5268-0242
                Article
                201
                10.1038/s41408-019-0201-0
                6435725
                d4fb7ac0-c416-4658-aadf-10e90a25c6fc
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 November 2018
                : 15 February 2019
                : 25 February 2019
                Categories
                Correspondence
                Custom metadata
                © The Author(s) 2019

                Oncology & Radiotherapy
                Oncology & Radiotherapy

                Comments

                Comment on this article