Abstract
This study explored which kinds of cancer are related to a higher incidence of subsequent myelodysplastic syndrome (MDS) after radiotherapy (RT) and chemotherapy (CT).
We performed a nested case–control study by using data from the Taiwanese National Health Insurance (NHI) system. The case group included cancer patients who developed MDS. For the control group, 4 cancer patients without MDS were frequency-matched with each MDS case by age, sex, year of cancer diagnosis, and MDS index year. A multivariable logistic regression analysis was conducted, and odds ratios (ORs) and 95% confidence intervals (CIs) were estimated.
Overall, cancer patients who received RT or CT exhibited secondary MDS more frequently than did those who did not (RT: OR = 1.53; 95% CI = 1.33–1.77; CT: OR = 1.51; 95% CI = 1.25–1.82). Analysis by cancer site showed that RT increased the risk of MDS for patients with stomach, colorectal, liver, breast, endometrial, prostate, and kidney cancers. By contrast, CT was more likely to increase the risk of MDS for patients with lung, endometrial, and cervical cancers. Further analysis revealed that RT and CT seemed to have a positive interaction. The major limitation of this study was the lack of certain essential data in the NHI Research Database, such as data regarding cancer stage and treatment dose details.
This population-based nested case–control study determined that RT and CT predisposed patients in Taiwan to the development of MDS. This effect was more prominent when both modalities were used.
INTRODUCTION
In Taiwan, cancer has been the leading cause of death among the general population since 1982. The age-adjusted incidence rate has increased steadily since then; and it reached 320.65 new cases per 100,000 people in 2011.1 The proportion of long-term cancer survivors is rising owing to successful cancer-screening programs, earlier detection, advanced diagnostic tools, timely and effective treatment, improved follow-up after treatment, and an aging population.2 Consequently, the surveillance and monitoring of cancer survivors has become a crucial concern, regarding cancer control, as well as the emergence of cancer- and treatment-related health problems.3
Myelodysplastic syndrome (MDS) comprises a heterogeneous group of closely related clonal hematopoietic disorders that are characterized by hypocellular or hypercellular marrow with impaired morphology and maturation and peripheral blood cytopenias, followed by progressive impairment of the ability of myelodysplastic stem cells to differentiate and a tendency to evolve into acute myeloid leukemia (AML).4–6 MDS has been identified to be associated with previous cancer treatment by using chemotherapy (CT) or radiotherapy (RT). Treatment-related MDS has been reported in various cancers, such as breast cancer, non-Hodgkin lymphoma, Hodgkin lymphoma, endometrial cancer, ovarian cancer, prostate cancer, and brain tumors.7–13 Although the absolute number of treatment-related MDS cases is small,7 the poor prognosis of MDS warrants concern.
To the best of our knowledge, no nationwide population-based study has measured treatment-related MDS for cancer overall and for various individual cancers. We explored this topic in Taiwan. We designed this research to determine, among cancer survivors, which primary sites of cancer were more susceptible to the development of MDS after treatment, and whether CT and RT interact. We used a database from the National Health Insurance (NHI) system of Taiwan to conduct this study.
METHODS
Data Source
Taiwan has implemented the NHI program since 1995 and approximately 99% of the population (N = 23.74 million) is currently enrolled in the program.14 This retrospective nested case–control study used the Longitudinal Health Insurance Database 2000 (LHID2000), a part of the National Health Insurance Research Database (NHIRD); the database was established and is maintained by the National Health Research Institutes (NHRI). The LHID2000 consists of claims data from 1,000,000 individuals randomly sampled (approximately 4.5% of Taiwan's population) from the registry of the NHIRD in 2000. There were no statistically significant differences in the distribution of sex, age, or health-care costs between the cohorts in the LHID2000 and insurance enrollees overall as reported by the NHRI in Taiwan. All personal information was confidential because patient identification numbers and other sensitive personal data were encrypted. This study was approved by the institutional review board of China Medical University in Central Taiwan (CMU-REC-101-012). The diagnoses were identified using diagnostic and procedural codes from the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM).
Sampled Participants
A nested case–control study based on the LHID2000 was conducted. We identified patients in the Registry for Catastrophic Illness Database who were 20 years of age and older and had been newly diagnosed with primary cancer with the ICD-9-CM codes 140–195 and 200–208, not including AML and chronic myeloid leukemia (ICD-9-CM codes 205.0 and 205.10, respectively) between January 1, 2000 and December 31, 2011; these patients comprised the exposure cohort. To register a case in the catastrophic illness registry, a diagnosis made by a physician with confirmatory pathological results or other supporting medical information is required; these documents are formally reviewed by the insurance authority. We excluded patients with a history of MDS before 2000 and patients with a history of MDS before the diagnosis of cancer. Each patient in the case group was followed until the diagnosis of MDS (ICD-9-CM codes 284.9, 285.0, 205.10, and 205.0); patients without MDS in the period 2000–2011 comprised the non-MDS group. The date of diagnosis for MDS was defined as the index date. To construct the comparison group, we randomly selected 4 people from the non-MDS group in the same period who were frequency-matched with the case group by age (at 5-year intervals), sex, year of cancer diagnosis, and MDS index year. We included 1265 patients in the MDS case group and 5057 non-MDS controls in this study.
Potential Comorbidities and Treatments Associated With MDS
The diseases considered comorbidities included diabetes (ICD-9-CM code 250), hypertension (ICD-9-CM code 401-405), hyperlipidemia (ICD-9-CM code 272), stroke (ICD-9-CM codes 430–438), ischemic heart disease (ICD-9-CM codes 410–414), chronic obstructive pulmonary disease (ICD-9-CM codes 490–496), alcoholism (ICD-9-CM codes 291, 303, 305.00, 305.01, 305.02, 305.03, 790.3, and V11.3), and alcoholic liver damage (ICD-9-CM codes 571.0, 571.1, and 571.3). We also considered anticancer drugs and included alkylating agents, topoisomerase II inhibitors, and antimetabolites which are suggested to have increased risks of MDS.13
Two kinds of treatment before the index date were examined for their possible association with MDS: RT and CT.
Statistical Analysis
The baseline distributions of demographic characteristics, comorbidities, and treatments between MDS group and non-MDS group were compared using the χ2 test for categorical variables and the t test for continuous variables. Univariable and multivariable unconditional logistic regression analysis was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between MDS and RT and CT. The multivariable models were simultaneously adjusted for the comorbidities of diabetes, stroke, ischemic heart disease, chronic obstructive pulmonary disease, alcoholism, and anticancer drugs. Models were also used for estimating the risks of using RT and CT for MDS. All analyses were performed using SAS statistical software for Windows (version 9.3; SAS Institute, Inc., Cary, NC), and the significance level was set at 0.05.
RESULTS
Table 1 shows a comparison of distributions of demographic characteristics, baseline comorbidities, and treatments between the MDS and the non-MDS groups. Among the 1265 patients with MDS, 50.8% of them were women and most were older than 65 years of age (56.1%). The mean ages of the MDS and non-MDS groups were 65.2 (SD = 14.8) and 65.2 (SD = 14.8) years, respectively. Compared with the non-MDS group, the MDS group patients were more likely to have diabetes, stroke, ischemic heart disease, chronic obstructive pulmonary disease, alcoholism, alkylating agents use, topoisomerase II inhibitors use, and antimetabolites use (all P < 0.05). The proportions of those treated with RT and CT were significantly higher in the MDS group than in the non-MDS group. The results of the multivariable logistic regression models for the association of RT and CT with MDS risk among patients with cancer are shown in Table 2. Overall, compared with patients who did not receive RT treatment, we observed a significant, 1.53-fold increase of MDS in cancer patients who received RT treatment (95% CI = 1.33–1.77) after adjusting for the comorbidities of diabetes, stroke, ischemic heart disease, chronic obstructive pulmonary disease, alcoholism, and anticancer drugs. Compared with non-CT patients, the adjusted OR for MDS risk was 1.51-fold (95% CI = 1.25–1.82) higher than that for CT. Patients with diabetes, stroke, ischemic heart disease, alkylating agents use, and topoisomerase II inhibitors use also demonstrated a significant association with increased MDS risk.
TABLE 1.
Baseline Characteristics Between Myelodysplastic Syndrome Group and Non-Myelodysplastic Syndrome Group

TABLE 2.
ORs and 95% CIs of Myelodysplastic Syndrome Associated With RT, CT, and Covariates

Furthermore, we estimated the risk of MDS following treatment with RT and CT for patients with various types of cancer (Table 3). A statistically significantly higher risk of MDS was observed for endometrial cancer patients who received RT and CT compared with those who did not receive RT and CT (adjusted OR = 3.16, 95% CI = 1.05–9.49 and adjusted OR = 7.59, 95% CI = 1.07–53.6, respectively). Compared with stomach cancer patients who did not receive RT, stomach cancer patients who received RT were at a much higher risk of MDS. Similar results were observed for patients with colorectal, liver, female breast, prostate, and kidney cancers; for all of these, receiving RT increased the risk of MDS. Compared with lung cancer patients who did not receive CT, lung cancer patients who received CT had a 2.67-fold risk of MDS. Similar results were observed for cervical cancer patients; for all of these, CT increased the risk of MDS.
TABLE 3.
ORs and 95% CIs of Myelodysplastic Syndrome Associated With RT, CT, and Covariates in Subdivision Cancer

Colorectal cancer patients who received alkylating agents treatment and topoisomerase II inhibitors treatment had higher risks of MDS compared with those who did not receive alkylating agents treatment and topoisomerase II inhibitors treatment (adjusted OR = 4.49, 95% CI = 1.29–15.6 and adjusted OR = 24.2, 95% CI = 2.63–222.9, respectively) (Table 4).
TABLE 4.
ORs and 95% CIs of myelodysplastic syndrome associated with anticancer drugs and covariates in subdivision cancer

Compared with head and neck cancer patients who did not receive alkylating agent treatment, head and neck cancer patients who received alkylating agent treatment were at a much higher risk of MDS. Compared with cervix cancer patients who did not receive topoisomerase II inhibitor treatment, cervical cancer patients who received topoisomerase II inhibitor treatment had a higher risk of MDS. Bladder patients and non-Hodgkin lymphoma with antimetabolite use also demonstrated a significant association with increased MDS risk compared with their counterparts who did not receive antimetabolite treatment.
Table 5 illustrates the joint effect of RT and CT on MDS risk. Compared with endometrial cancer patients who did not receive RT and CT, endometrial cancer patients who received both RT and CT had a higher risk of MDS (adjusted OR = 37.0, 95% CI = 2.96–462.4). Compared with lung cancer patients who did not receive RT and CT, lung cancer patients who received both RT and CT demonstrated a higher risk of MDS (adjusted OR = 3.62, 95% CI = 1.33–9.85). Similar results were observed for colorectal cancer, female breast cancer, and cervical cancer patients; receiving both RT and CT had a higher risk of MDS. Relative to the female breast cancer patients only receiving CT, female breast cancer patients who received both RT and CT had higher risk of MDS (adjusted OR = 1.93, 95% CI = 1.13–3.29). Compared with cervical cancer patients only receiving RT, cervical cancer patients who received both RT and CT had higher risk of MDS (adjusted OR = 2.43, 95% CI = 1.09–5.44).
TABLE 5.
ORs and 95% CIs of myelodysplastic syndrome associated radiotherapy with joint effect of chemotherapy

DISCUSSION
The results from this population-based nested case–control study highlighted the fact that overall cancer treatment with either RT or CT can significantly increase the risk of subsequently developing MDS. Analysis by cancer site indicated that patients with stomach, colorectal, liver, breast, endometrial, prostate, and kidney cancers after RT had a significantly high risk of developing MDS. By contrast, CT was more likely to increase MDS incidence among patients with lung, endometrial, and cervical cancers. Different patterns of MDS risk among various cancers in 3 kinds of anticancer drugs were also found. Further analysis revealed that RT and CT tended to have a positive joint effect on MDS occurrence.
MDS is not uncommon. Approximately 20,000 cases of MDS were diagnosed in the United States in 2008, of which approximately 10% were therapy related.15 From our NHI database, 454 cases of MDS were diagnosed in Taiwan in 2008. The French–American–British Cooperative Group proposed a classification based on easily obtainable laboratory information.16 The 5 classes are refractory anemia (RA), RA with ringed sideroblasts, RA with excess blasts (RAEBs), RAEB in transformation, and chronic myelomonocytic leukemia. The prognosis of MDS is relatively poor, and the majority of patients progress to refractory AML within a few months. The median survival time varies from months to years, depending on its subtypes.17 Therapy-related MDS is a serious long-term consequence of cytotoxic treatments for an antecedent disease. Traditional cancer therapy operates by producing extensive DNA damage that in turn inhibits proliferation and activates cell-death pathways. RT and CT do not target cancer cells exclusively; therefore, mutations may also be induced among normal cells. When they persist and affect genes controlling the growth and differentiation of hematopoietic stem and precursor cells, a neoplastic myeloid clone may be generated.13
People accidentally exposed to ionizing radiation, as well as cancer patients receiving RT, have been extensively linked to hematological malignancies.18–20 By contrast, alkylating agents, topoisomerase II inhibitors, and antimetabolites are frequently cited perpetrators of CT-induced MDS.13,15 Alkylating agents comprise a large group of anticancer drugs with clinical applications across almost all types of cancer.13 Alkylating agents are the principal cause of therapy-related MDS. The syndrome was first recognized in the treatment of Hodgkin disease.15 MDS from exposure to topoisomerase II inhibitors usually has an early onset (within 1–3 years) and causes balanced genetic alterations typically involving 11q23.21,22 However, exposure to alkylating agents results in a later onset (within 5–10 years) and yields unbalanced chromosomal alterations often involving chromosomes 5 and 7.23,24 Researchers have found that the specific effects and chromosomal abnormalities caused by radiation seem to be similar to those seen from exposure to alkylating agents.25 Antimetabolites are yet another group of cytostatic drugs causally involved in the development of therapy-related myeloid neoplasms.13,26 For cancer overall, our data revealed that both RT and CT are associated with a higher risk of subsequent MDS. Regarding individual cancers, several studies have found that RT and/or CT for breast cancer can induce MDS.7,8,27,28 Our results showed that breast cancer survivors who received RT are more vulnerable to developing MDS compared with their counterparts, but not breast cancer survivors who received CT (Table 3). When we used breast cancer patients without RT and CT as the reference, neither the RT nor the CT group showed a significantly higher risk of MDS, but the group treated with both RT and CT did manifest a significantly higher risk of MDS (Table 5, OR = 3.46; 95% CI = 1.28–9.33). This was partially consistent with Kaplan et al, who performed a registry cohort analysis and found that an elevated rate of MDS and AML was observed among breast cancer patients treated with RT and those treated with RT and CT compared with available population incidence data.7 The authors used records from the 2001–2009 Surveillance, Epidemiology, and End Results database to identify a cohort of women with first primary Stage 0 breast cancer who were treated with RT, a group that is not treated with CT. They suggested that using RT to treat breast cancer is associated with an increased risk of MDS/AML and affects an extremely small number of patients.27 It is reasonable that there have been more reports of MDS development among breast cancer survivors compared with other cancer survivors. Because of the relative success of cancer-screening programs, early detection and timely and appropriate treatment have yielded more favorable prognoses for patients with breast cancer compared with patients with most other types of cancer.
Another primary cancer site that has been gaining interest among researchers is the prostate gland. In general, prostate cancer is characterized by its relatively older average age at diagnosis and slower progression compared with most other types of cancer. More survivors of prostate cancer can be expected compared with other cancers. RT is one of the major therapies for prostate cancer, but CT does not play a crucial role in the treatment of prostate cancer. Prostate cancer patients treated with radical RT with curative intent typically receive higher doses (up to >70 Gy) than those involved in adjuvant RT. Mukherjee et al evaluated the risk of developing MDS among prostate cancer patients definitively treated with RT and found that RT did not appear to induce a statistically increased risk of subsequent MDS.11 However, our data showed that after RT, prostate cancer patients have a significantly higher risk of developing MDS. Our population-based nested case–control study had more MDS patients and, thus, our study was more likely to detect a significant difference, which may account for this observation. The association between CT and MDS in prostate cancer was not that obvious because of the relatively small number of patients receiving CT (Table 3). Hematological malignancies were also studied to determine the association between cancer treatment and subsequent MDS.13,29,30 The present study failed to find any significant relationship between cancer treatment and MDS in these malignancies except for antimetabolites users among non-Hodgkin lymphoma with a higher MDS risk (Table 4). Previous case reports have highlighted MDS cases after abdominopelvic RT for endometrial cancer, as well as after CT and RT for brain tumors.10,12 Our study revealed a positive relationship between MDS cases after RT or CT for endometrial cancer and our results yielded no significant association was found between brain tumor treatment and MDS. In addition, treatment-related MDS in testicular cancer, ovarian cancer, and sarcoma has been reported,31,32 however, we did not have enough cases of these cancers and no significant findings were observed (data not shown). We found that treatment for certain cancer sites was linked to MDS, although such sites have been seldom mentioned in previous studies. These sites included stomach, colorectal, liver, and kidney cancers in the RT group and lung and cervical cancers in the CT group. Nevertheless, our finings need to be supported by further investigation of these cancers.
We subclassified CT into alkylating agent, topoisomerase II inhibitors, and antimetabolites to analyze because they are suggested to have increased risks of MDS.13 Because of the dilute effect of case classification, less cancer sites were identified to have the statistically significant level for an increased risk of MDS. Our data revealed that head and neck cancer and colorectal cancer patients with alkylating use had significantly higher risks for MDS. Alkylating agents are commonly used in head and neck cancer and colorectal cancer patients,33,34 and it may enhance the ability to detect a statistically significant difference. Tebbi et al found a novel association between topoisomerase inhibition and risk of secondary myeloid neoplasms in pediatric Hodgkin disease..35 Le Deley et al found that the risk of MDS is much higher with mitoxantrone-based CT than with anthracycline-based CT in breast cancer patients.20 Users of topoisomerase II inhibitors were found to have significantly higher risks for MDS among colorectal cancer and cervical cancer patients in our study. Antimetabolites, and in particular the immunosuppressive agents azathioprine and fludarabine, have also been associated with MDS.9 Our data revealed that antimetabolite users had significantly higher risks of MDS among bladder cancer and non-Hodgkin lymphoma patients.
A tendency of a positive joint effect of RT and CT was observed in our study. As shown in Table 5, a reference group of patients who did not receive RT or CT exhibited the joint effect of both treatments in lung, breast, endometrial, and cervical cancers. In these cancer sites, double-treatment groups, but not single-treatment groups, had significantly higher risks of MDS. When used single-treatment group as the reference, Table 5 also revealed consistent higher adjusted ORs of double-treatment group compared with single-treatment group (except for liver cancer), although P values seldom reached the significant level due to small case number. The positive interaction between RT and CT was observed in an early study conducted by Smith et al, who indicated that among patients receiving adjuvant CT for breast cancer, the risk of MDS increases with age, with the intensity of therapy, and with the use of breast RT.28 This implied that a synergistic effect of MDS may exist between RT and CT. Combining RT and CT (either concurrent or sequential) in cancer treatment has been proven to increase therapeutic results in several cancers.36–40 Treatment-related toxicity may be also additive.41–43 Therefore, combination therapy may confer a higher risk of MDS.
This study demonstrated the strengths of its population-based nationwide source and subsequent follow-up period. Unlike most studies using population-based registries of the general population as the comparison group,7,11,27 our control group comprised cancer patients without MDS. This was logical; this design eliminated the concern that possible malignancies may themselves be related to MDS.44 However, some limitations of this study must be addressed. First, information regarding RT and CT dosages was unavailable in the NHI database. Therefore, comprehensive analyses to determine whether the relationship between RT/CT and MDS is dose-responsive were not possible. Smith et al evaluated MDS after doxorubicin–cyclophosphamide adjuvant therapy for operable breast cancer and found that the incidence of MDS was sharply elevated in the more intense regimens;28 however, we cannot conduct the similar analysis. Second, the NHI database also lacks cancer clinical stage and pathological types, and we cannot adjust these factors to minimize the possible confounding. In additional, it also hampers us using current data to demonstrate the treatment benefit regarding survival rate due to uncontrolled biases.
In conclusion, this population-based nested case–control study found that both RT and CT are related to the subsequent development of MDS. Some cancer sites are more susceptible to developing MDS after cancer treatment. A possible positive interaction between RT and CT may exist. Further research is warranted to validate our findings. The study highlights that physicians must keep in mind the long-term risks of CT and RT, including the development of MDS. Nevertheless, these results do not dispute the proven benefits of RT and CT in cancer control, which far outweigh the potential risk of MDS.
Footnotes
Abbreviations: AML = acute myeloid leukemia, CI = confidence interval, CT = chemotherapy, ICD-9-CM = International Classification of Diseases, Ninth Revision, Clinical Modification, LHID = Longitudinal Health Insurance Database, MDS = myelodysplastic syndrome, NHIRD = National Health Insurance Research Database, NHRI = National Health Research Institute (NHRI), OR = odds ratio, RT = radiotherapy.
Ming-Chia Lin and Li-Min Sun contributed equally to this work.
All authors have contributed significantly, and that all authors are in agreement with the content of the manuscript: conception/design: Li-Min Sun, Chia-Hung Kao; provision of study materials: all authors; collection and/or assembly of data: Li-Min Sun, Chia-Hung Kao; data analysis and interpretation: all authors; manuscript writing: all authors; final approval of manuscript: all authors.
This study is supported in part by Taiwan Ministry of Health and Welfare Clinical Trial and Research Center of Excellence (MOHW104-TDU-B-212-113002); China Medical University Hospital, Academia Sinica Taiwan Biobank, Stroke Biosignature Project (BM104010092); NRPB Stroke Clinical Trial Consortium (MOST 103-2325-B-039 -006); Tseng-Lien Lin Foundation, Taichung, Taiwan; Taiwan Brain Disease Foundation, Taipei, Taiwan; Katsuzo and Kiyo Aoshima Memorial Funds, Japan; and Health, and welfare surcharge of tobacco products, China Medical University Hospital Cancer Research Center of Excellence (MOHW104-TDU-B-212-124-002, Taiwan). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. No additional external funding received for this study.
Novelty & impact statements: Cancer patients who received RT or CT exhibited secondary MDS more frequently than those who did not (RT: OR = 1.53; 95% CI = 1.33–1.77; CT: OR = 1.51; 95% CI = 1.25–1.82). RT increased the risk of MDS for patients with stomach, colorectal, liver, breast, endometrial, prostate, and kidney cancers. CT was more likely to increase the risk of MDS for patients with lung, endometrial, and cervical cancers.
The authors have no conflicts of interest to disclose.
REFERENCES
- 1.Cancer Statistics Annual Report: Taiwan Cancer Registry. Available from http://tcr.cph.ntu.edu.tw/main.php?Page=N2 Accessed September 25, 2014. [Google Scholar]
- 2.Pollack LA, Rowland JH, Crammer C, et al. Introduction: charting the landscape of cancer survivors’ health-related outcomes and care. Cancer 2009; 115:4265–4269. [DOI] [PubMed] [Google Scholar]
- 3.Choi M, Craft B, Geraci SA. Surveillance and monitoring of adult cancer survivors. Am J Med 2011; 124:598–601. [DOI] [PubMed] [Google Scholar]
- 4.Cazzola M, Malcovati L. Myelodysplastic syndromes – coping with ineffective hematopoiesis. N Engl J Med 2005; 352:536–538. [DOI] [PubMed] [Google Scholar]
- 5.Besa EC. Myelodysplastic syndromes (refractory anemia). A perspective of the biologic, clinical, and therapeutic issues. Med Clin North Am 1992; 76:599–617. [DOI] [PubMed] [Google Scholar]
- 6.Germing U, Kobbe G, Haas R, et al. Myelodysplastic syndromes: diagnosis, prognosis, and treatment. Dtsch Arztebl Int 2013; 110:783–790. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Kaplan HG, Malmgren JA, Atwood MK. Increased incidence of myelodysplastic syndrome and acute myeloid leukemia following breast cancer treatment with radiation alone or combined with chemotherapy: a registry cohort analysis 1990–2005. BMC Cancer 2011; 11:260. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Cole M, Strair R. Acute myelogenous leukemia and myelodysplasia secondary to breast cancer treatment: case studies and literature review. Am J Med Sci 2010; 339:36–40. [DOI] [PubMed] [Google Scholar]
- 9.Leone G, Pagano L, Ben-Yehuda D, et al. Therapy-related leukemia and myelodysplasia: susceptibility and incidence. Haematologica 2007; 92:1389–1398. [DOI] [PubMed] [Google Scholar]
- 10.Bonin SR, Lanciano RM, Smith MR, et al. Treatment-related myelodysplastic syndrome following abdominopelvic radiotherapy for endometrial cancer. Gynecol Oncol 1995; 57:430–432. [DOI] [PubMed] [Google Scholar]
- 11.Mukherjee S, Reddy CA, Ciezki JP, et al. Risk for developing myelodysplastic syndromes in prostate cancer patients definitively treated with radiation. J Natl Cancer Inst 2014; 106:djt462. [DOI] [PubMed] [Google Scholar]
- 12.Sugiyama K, Kurisu K, Arita K, et al. Myelodyeplastic syndrome following therapy for brain tumor – two case reports. Neurol Med Chir (Tokyo) 2002; 42:170–174. [DOI] [PubMed] [Google Scholar]
- 13.Sill H, Olipitz W, Zebisch A, et al. Therapy-related myeloid neoplasms: pathobiology and clinical characteristics. Br J Pharmacol 2011; 162:792–805. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Cheng TM. Taiwan's National Health Insurance system: high value for the dollar. In Okma K.G.H., Crivelli L. ed. Six Countries, Six Reform Models: The Health Reform Experience of Israel, the Netherlands, New Zealand, Singapore, Switzerland and Taiwan. New Jersey: World Scientific, 2009, pp.71–204. [Google Scholar]
- 15.Graubert T. Therapy-related myelodysplastic syndrome: models and genetics. Biol Blood Marrow Transplant 2010; 16:S45–S47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Bennett JM, Catovsky D, Daniel MT, et al. Proposals for the classification of the myelodysplastic syndromes. Br J Haematol 1982; 51:189–199. [PubMed] [Google Scholar]
- 17.Grossi A, Liumbruno GM. New drugs in the treatment of myelodysplastic syndromes: are they changing the role of transfusion support? Blood Transfus 2008; 6:191–198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Iwanaga M, Hsu WL, Soda M, et al. Risk of myelodysplastic syndromes in people exposed to ionizing radiation: a retrospective cohort study of Nagasaki atomic bomb survivors. J Clin Oncol 2011; 29:428–434. [DOI] [PubMed] [Google Scholar]
- 19.Ojha RP, Fischbach LA, Zhou Y, et al. Acute myeloid leukemia incidence following radiation therapy for localized or locally advanced prostate adenocarcinoma. Cancer Epidemiol 2010; 34:274–278. [DOI] [PubMed] [Google Scholar]
- 20.Le Deley MC, Suzan F, Cutuli B, et al. Anthracyclines, mitoxantrone, radiotherapy, and granulocyte colony-stimulating factor: risk factors for leukemia and myelodysplastic syndrome after breast cancer. J Clin Oncol 2007; 25:292–300. [DOI] [PubMed] [Google Scholar]
- 21.Warlick ED, Smith BD. Myelodysplastic syndromes: review of pathophysiology and current novel treatment approaches. Curr Cancer Drug Targets 2007; 7:541–558.Review. [DOI] [PubMed] [Google Scholar]
- 22.Pedersen-Bjergaard J, Philip P, Larsen SO, et al. Therapy-related myelodysplasia and acute myeloid leukemia. Cytogenetic characteristics of 115 consecutive cases and risk in seven cohorts of patients treated intensively for malignant diseases in the Copenhagen series. Leukemia 1993; 7:1975–1986. [PubMed] [Google Scholar]
- 23.Rund D, Ben Yehuda D. Therapy-related leukemia and myelodysplasia: evolving concepts of pathogenesis and treatment. Hematology 2004; 9:179–187. [DOI] [PubMed] [Google Scholar]
- 24.Pedersen-Bjergaard J, Andersen MK, Christiansen DH, et al. Genetic pathways in therapy-related myelodysplasia and acute myeloid leukemia. Blood 2002; 99:1909–1912. [DOI] [PubMed] [Google Scholar]
- 25.Moloney WC. Radiogenic leukemia revisited. Blood 1987; 70:905–908. [PubMed] [Google Scholar]
- 26.Leleu X, Soumerai J, Roccaro A, et al. Increased incidence of transformation and myelodysplasia/acute leukemia in patients with Waldenstrom macroglobulinemia treated with nucleoside analogs. J Clin Oncol 2009; 27:250–255. [DOI] [PubMed] [Google Scholar]
- 27.Kaplan H, Malmgren J, De Roos AJ. Risk of myelodysplastic syndrome and acute myeloid leukemia post radiation treatment for breast cancer: a population-based study. Breast Cancer Res Treat 2013; 137:863–867. [DOI] [PubMed] [Google Scholar]
- 28.Smith RE, Bryant J, DeCillis A, et al. Acute myeloid leukemia and myelodysplastic syndrome after doxorubicin-cyclophosphamide adjuvant therapy for operable breast cancer: the National Surgical Adjuvant Breast and Bowel Project Experience. J Clin Oncol 2003; 21:1195–1204. [DOI] [PubMed] [Google Scholar]
- 29.Roboz GJ, Bennett JM, Coleman M, et al. Therapy-related myelodysplastic syndrome and acute myeloid leukemia following initial treatment with chemotherapy plus radioimmunotherapy for indolent non-Hodgkin lymphoma. Leuk Res 2007; 31:1141–1144. [DOI] [PubMed] [Google Scholar]
- 30.Armitage JO, Carbone PP, Connors JM, et al. Treatment-related myelodysplasia and acute leukemia in non-Hodgkin's lymphoma patients. J Clin Oncol 2003; 21:897–906. [DOI] [PubMed] [Google Scholar]
- 31.Kollmannsberger C, Hartmann JT, Kanz L, et al. Risk of secondary myeloid leukemia and myelodysplastic syndrome following standard-dose chemotherapy or high-dose chemotherapy with stem cell support in patients with potentially curable malignancies. J Cancer Res Clin Oncol 1998; 124:207–214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Sonawane S, Gadgil N, Margam S. Therapy related myelodysplastic syndrome: a case report and review of literature. Indian J Pathol Microbiol 2011; 54:371–373. [DOI] [PubMed] [Google Scholar]
- 33.Molin Y, Fayette J. Current chemotherapies for recurrent/metastatic head and neck cancer. Anticancer Drugs 2011; 22:621–625. [DOI] [PubMed] [Google Scholar]
- 34.Saltz LB, Clarke S, Díaz-Rubio E, et al. Bevacizumab in combination with oxaliplatin-based chemotherapy as first-line therapy in metastatic colorectal cancer: a randomized phase III study. J Clin Oncol 2008; 26:2013–2019. [DOI] [PubMed] [Google Scholar]
- 35.Tebbi CK, London WB, Friedman D, et al. Dexrazoxane-associated risk for acutemyeloid leukemia/myelodysplastic syndrome and other secondary malignancies in pediatric Hodgkin's disease. J Clin Oncol 2007; 25:493–500. [DOI] [PubMed] [Google Scholar]
- 36.Steel GG, Peckham MJ. Exploitable mechanism in combined radiotherapy-chemotherapy: the concept of additivity. Int J Radiat Oncol Biol Phys 1979; 5:85–91. [DOI] [PubMed] [Google Scholar]
- 37.Liu M, Ma S, Liu M, et al. Synergistic killing of lung cancer cells by cisplatin and radiation via autophagy and apoptosis. Oncol Lett 2014; 7:1903–1910. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Lasrado S, Moras K, Pinto GJ, et al. Role of concomitant chemoradiation in locally advanced head and neck cancers. Asian Pac J Cancer Prev 2014; 15:4147–4152. [DOI] [PubMed] [Google Scholar]
- 39.Recchia F, Candeloro G, Cesta A, et al. Anthracycline-based induction chemotherapy followed by concurrent cyclophosphamide, methotrexate and 5-fluorouracil and radiation therapy in surgically resected axillary node-positive breast cancer. Mol Clin Oncol 2014; 2:473–478. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Arbea L, Martínez-Monge R, Díaz-González JA, et al. Four-week neoadjuvant intensity-modulated radiation therapy with concurrent capecitabine and oxaliplatin in locally advanced rectal cancer patients: a validation phase II trial. Int J Radiat Oncol Biol Phys 2012; 83:587–593. [DOI] [PubMed] [Google Scholar]
- 41.Jeremić B, Miličić B, Milisavljevic S. Toxicity of concurrent hyperfractionated radiation therapy and chemotherapy in locally advanced (stage III) non-small cell lung cancer (NSCLC): single institution experience in 600 patients. Clin Transl Oncol 2012; 14:613–618. [DOI] [PubMed] [Google Scholar]
- 42.Marchand V, Angelergues A, Gobaux V, et al. Prospective and comparative evaluation of the toxicity of adjuvant concurrent chemoradiotherapy after neoadjuvant chemotherapy for breast cancer. Am J Clin Oncol 2013; 36:425–429. [DOI] [PubMed] [Google Scholar]
- 43.Nagy B, Molnar J, Rovo L, et al. Effective chemoradiotherapy without additive toxicity in locoregionally advanced head and neck cancer. Anticancer Res 2003; 23:4329–4332. [PubMed] [Google Scholar]
- 44.Fields SZ, Parshad S, Anne M, et al. Activin receptor antagonists for cancer-related anemia and bone disease. Expert Opin Investig Drugs 2013; 22:87–101. [DOI] [PubMed] [Google Scholar]
