View Article

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. Overall, cancer patients who received RT or CT exhibited secondary MDS more frequently than did those who did not (RT: OR¼ 1.53; 95% CI¼ 1.33–1.77; CT: OR¼ 1.51; 95% CI¼ 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. 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.

Keywords

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.

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). Treatmentrelated 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. To the best of our knowledge, no nationwide populationbased 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 ¼ 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.

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. We excluded patients with a history of MDS before 2000 and patients with a history of MDS before the diagnosis of cancer.

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 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 x2 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

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 ¼ 14.8) and 65.2 (SD ¼ 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>


Table 1. Baseline Characteristics Between Myelodysplastic Syndrome Group and Non-Myelodysplastic Syndrome Group.

 

                   

Myelodysplastic syndrome

No N = 5057

Yes N=1265

P value

N

%

n

%

Gender

 

 

 

 

0.99

Women

2572

(50.9)

643

(50.8)

 

Men

2485

(49.1)

622

(49.2)

 

Age group(y)

 

 

 

 

0.99

20–49

880

(17.4)

220

(17.4)

 

50-64

1344

(26.6)

336

(26.6)

 

65-74

1284

(25.4)

321

(25.4)

 

>75

1549

(30.6)

388

(30.7)

 

Mean (SD) (y)

65.2

(14.8)

65.2

(14.8)

0.87

Baseline comorbidities

 

 

 

 

 

Diabetes

850

(16.8)

254

(20.1)

0.006

Hypertension

2516

(49.8)

652

(51.5)

0.26

Hyperlipidemia

1281

(25.3)

290

(22.9)

0.08

Stroke

393

(7.77)

131

(10.4)

0.003

Ischemic heart disease

1283

(25.4)

392

(31.0)

<0>

Chronic obstructive pulmonary disease

1977

(39.1)

550

(43.5)

0.004

Alcoholism

75

(1.48)

31

(2.45)

0.02

Alcoholic liver damage

105

(2.08)

33

(2.61)

0.25

Treatment

 

 

 

 

 

Radiotherapy

1205

(23.8)

443

(35.0)

<0>

Chemotherapy

1507

(29.8)

542

(42.9)

<0>

Anti-cancer drugs

 

 

 

 

 

Alkylating agents

571

(11.3)

233

(18.4)

<0>

Topoisomerase II inhibitors

582

(11.5)

235

(18.6)

<0>

Antimetabolites

1300

(25.7)

393

(31.1)

<0>

 


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

 

Variable

Crude

Adjusted

OR

(95% CL)

OR

(95% CL)

Gender (women vs men)

1.00

(0.89,1.13)

_

_

Age group(y)

1.00

(1.00,1.01)

-

-

Baseline comorbidities

 

 

 

 

Diabetes

1.24

(1.06,1.45)

1.21

(1.03,1.42)

Hypertension

1.07

(0.95,1.22)

-

-

Hyperlipidemia

0.88

(0.76,1.01)

-

-

Stroke

1.37

(1.11,1.69)

1.30

(1.05,1.62)

Ischemic heart disease

1.32

(1.15,1.51)

1.34

(1.15,1.56)

Chronic obstructive pulmonary disease

1.20

(1.06,1.36)

1.13

(0.99,1.30)

Alcoholism

1.67

(1.09,2.55)

1.54

(1.00,2.38)

Alcoholic liver damage

1.26

(0.85,1.88)

 

-

Treatment

 

 

 

 

RT

1.72

(1.51,1.97)

1.53

(1.33,1.77)

CT

1.77

(1.56,2.00)

1.51

(1.25,1.82)

Anti-cancer drugs

 

 

 

 

Alkylating agents

1.77

(1.50,2.10)

1.27

(1.02,1.57)

Topoisomerase II inhibitors

1.75

(1.49,2.07)

1.27

(1.03,1.55)

Antimetabolites

1.30

(1.14,1.49)

0.91

(0.77,1.08)

 


Table 3. ORs and 95% CIs of Myelodysplastic Syndrome Associated With RT, CT, and Covariates in Subdivision Cancer

 

 

RT

CT

No

Yes

No

Yes

Cancer (ICD-9-CM)

No of myelodysplastic syndrome/No of RT

No of myelodysplastic syndrome/No of CT

Adjusted

OR (95%CI)

Adjusted

OR (95%CI)

Head and neck (140–149, 161)

50/243

68/355

1.00 (Reference)

1.41 (0.80, 2.48)

1.00 (Reference)

1.11 (0.50, 2.49)

Esophagus (150)

11/47

11/38

1.00 (Reference)

0.84 (0.21, 3.33)

1.00 (Reference)

1.53 (0.18, 12.7)

Stomach (151)

12/22

34/92

1.00 (Reference)

2.76 (1.06, 7.19)

1.00 (Reference)

1.72(0.80, 3.71)

Colorectum (153–154)

30/131

60/335

1.00 (Reference)

.94 (1.16, 3.23)

1.00 (Reference)

1.63 (0.94, 2.83)

Liver (155)

14/43

15/86

1.00 (Reference)

2.57 (1.22, 5.38)

1.00 (Reference)

0.92 (0.43, 1.97)

Lung (162)

25/130

38/177

1.00 (Reference)

1.32 (0.69, 2.52)

1.00 (Reference)

2.67 (1.07, 6.67)

Female breast (174)

54/257

75/452

1.00 (Reference)

1.86 (1.20, 2.89)

1.00 (Reference)

1.87 (0.71, 4.95)

Uterus/endometrium (179, 182)

13/45

7/16

1.00 (Reference)

3.16 (1.05, 9.49)

1.00 (Reference)

7.59 (1.07, 53.6)

Cervix (180)

50/179

38/99

1.00 (Reference)

1.44 (0.77, 2.69)

1.00 (Reference)

2.41 (1.16, 5.00)

Prostate (185)

39/129

13/31

1.00 (Reference)

2.12 (1.22, 3.67)

1.00 (Reference)

1.61 (0.63, 4.12)

Bladder (188)

8/24

18/55

1.00 (Reference)

0.98 (0.28, 3.41)

1.00 (Reference)

1.26 (0.48, 3.34)

Brain tumor (191)

7/38

3/8

1.00 (Reference)

0.18 (0.02, 2.18)

1.00 (Reference)

12.3 (0.38, 403.4)

Kidney (189)

8/12

13/28

1.00 (Reference)

5.59 (1.36, 23.1)

1.00 (Reference)

1.31 (0.20, 8.44)

Non-Hodgkin lymphoma (202)

14/42

23/86

1.00 (Reference)

0.91 (0.33, 2.53)

1.00 (Reference)

0.27 (0.04, 1.65)

Lymphoblastic l eukemia (204)

3/7

4/8

1.00 (Reference)

2.88 (0.02, 339.9)

1.00 (Reference)

0.08 (0.02, 3.37)

Myeloid leukemia (205)

23/28

33/44

1.00 (Reference)

3.12 (0.75, 12.9)

1.00 (Reference)

2.04 (0.19, 22.4)

 

 


Table 4. ORs and 95% CIs of myelodysplastic syndrome associated with anticancer drugs and covariates in subdivision cancer

 

 

Alkylating agents

Topoisomerase II inhibitors

Antimetabolites

No

Yes

No

Yes

No

Yes

Cancer (ICD-9-CM)

Adjusted

OR (95%CI)

Adjusted

OR (95%CI)

Adjusted

OR (95%CI)

Head and neck (140–149, 161)

1.00 (Reference)

7.08 (2.35,21.3)

1.00 (Reference)

0.43 (0.09,2.05

1.00 (Reference)

1.61 (0.76, 3.41)

Esophagus (150)

1.00 (Reference)

2.15 (0.19, 24.2 )

1.00 (Reference)

1.42 (0.12, 16.6)

1.00 (Reference)

1.01 (0.14, 7.45)

Stomach (151)

1.00 (Reference)

0.66 (0.16, 2.71)

1.00 (Reference)

1.18 (0.42, 3.33)

1.00 (Reference)

0.95 (0.50, 1.81)

Colorectum (153–154)

1.00 (Reference)

4.49 (1.29, 15.6)

1.00 (Reference)

24.2 (2.63, 222.9)

1.00 (Reference)

0.94 (0.56, 1.57)

Liver (155)

1.00 (Reference)

10.8 (0.46, 253.3 )

1.00 (Reference)

0.90 (0.48, 1.69)

1.00 (Reference)

1.38 (0.55, 3.48)

Lung (162)

1.00 (Reference)

0.44 (0.05, 3.88)

1.00 (Reference)

0.92 (0.34, 2.47)

1.00 (Reference)

1.35 (0.60, 3.02)

Female breast (174)

1.00 (Reference)

0.83 (0.31, 2.23)

1.00 (Reference)

1.14 (0.66, 1.99)

1.00 (Reference)

0.70 (0.39, 1.26)

Uterus/endometrium (179, 182)

1.00 (Reference)

2.08 (0.15, 29.3)

1.00 (Reference)

0.06 (0.00, 1.000

1.00 (Reference)

0.85 (0.34, 23.6)

Cervix (180)

1.00 (Reference)

2.79 (0.89, 8.78)

1.00 (Reference)

10.5 (1.05, 105.1)

1.00 (Reference)

1.05 (0.41, 2.71)

Prostate (185)

1.00 (Reference)

-

1.00 (Reference)

2.93 (0.13, 68.4)

1.00 (Reference)

3.98 (0.93, 17.1)

Bladder (188)

1.00 (Reference)

9.94 (0.63, 157.5)

1.00 (Reference)

1.80 (0.82, 3.95)

1.00 (Reference)

12.0 (2.81, 51.5)

Brain tumor (191)

1.00 (Reference)

10.9 (0.67, 179.1)

1.00 (Reference)

-

1.00 (Reference)

0.22 (0.00, 23.7)

Kidney (189)

1.00 (Reference)

0.55 (0.02, 16.8)

1.00 (Reference)

4.25 (0.62, 29.2)

1.00 (Reference)

0.83 (0.14, 4.81)

Non-Hodgkin lymphoma (202)

1.00 (Reference)

1.21 (0.24, 5.98)

1.00 (Reference)

1.40 (0.36, 5.55)

1.00 (Reference)

7.49 (2.21, 25.3)

Lymphoblastic l eukemia (204)

1.00 (Reference)

5.94 (0.55, 64.3)

1.00 (Reference)

1.92 (0.03, 143.4)

1.00 (Reference)

-

Myeloid leukemia (205)

1.00 (Reference)

0.73 (0.17, 3.11)

 

1.00 (Reference)

 

0.81 (0.14, 4.52)

1.00 (Reference)

0.66 (0.05, 8.98)

 


Table 5. ORs and 95% CIs of myelodysplastic syndrome associated radiotherapy with joint effect of chemotherapy.

 

Variables

No of myelodysplastic syndrome

Alkylating agents

Topoisomerase II inhibitors

Antimetabolites

No

Yes

(95%CI)

Adjusted

OR

(95%CI)

Adjusted

OR

(95%CI)

Adjusted

OR

Colorectasl cancer

 

 

 

 

 

 

Radiotherapy

Chemotherapy

 

 

 

 

 

 

No

No

610

69

1 (Reference)

 

 

No

Yes

204

39

1.87 (1.04, 3.38)

 

1 (Reference)

 

Yes

No

30

9

2.93 (1.30, 6.60)

-

1 (Reference)

Yes

Yes

71

21

2.89 (1.39, 6.00)

1.79 (0.93, 3.48)

1.62 (0.44, 6.00)

Liver cancer

 

 

 

 

 

 

Radiotherapy

Chemotherapy

 

 

 

 

 

No

No

325

53

1 (Reference)

 

 

No

Yes

59

11

1.14 (0.51, 2.55)

1 (Reference)

 

Yes

No

17

10

3.48 (1.47, 8.24)

-

1 (Reference)

Yes

Yes

12

4

1.39 (0.36, 5.35)

1.48 (0.24, 9.17)

0.17 (0.02, 2.01)

Lung cancer

 

 

 

 

 

 

Radiotherapy

Chemotherapy

 

 

 

 

 

No

No

122

10

1 (Reference)

 

 

No

Yes

68

17

2.90 (1.00, 8.39)

1 (Reference)

 

Yes

No

34

4

1.55 (0.45, 5.34)

-

1 (Reference)

Yes

Yes

71

21

3.62 (1.33, 9.85)

1.24 (0.58, 2.64)

1.60 (0.40, 6.44)

Female breast cancer

 

 

 

 

 

 

No

No

257

31

1 (Reference)

 

 

No

Yes

217

30

1.75 (0.63, 4.87)

1 (Reference)

 

Yes

No

43

9

1.61 (0.70, 3.68)

-

1 (Reference)

Yes

Yes

160

45

3.46 (1.28, 9.33)

1.93 (1.13, 3.29)

3.60 (0.92, 14.1)

Uterine/endometrail cancer

 

 

 

 

 

 

Radiotherapy

Chemotherapy

 

 

 

 

 

No

No

55

8

1 (Reference)

 

 

No

Yes

4

2

3.15 (0.21, 47.6)

1 (Reference)

 

Yes

No

27

8

2.63 (0.81, 8.49)

-

1 (Reference)

Yes

Yes

5

5

37.0 (2.96, 462.4)

1.70 (0.13, 21.6)

3.21 (0.72, 14.3)

Cervical cancer

 

 

 

 

 

 

Radiotherapy

Chemotherapy

 

 

 

 

 

No

No

209

31

1 (Reference) 2.43 (1.09, 5.44)

 

 

No

Yes

6

4

1.45 (0.26, 8.19)

1 (Reference)

 

Yes

No

74

16

1.32 (0.67, 2.62)

-

1 (Reference)

Yes

Yes

55

34

3.46 (1.79, 6.65)

 

 


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. 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 prognosis of MDS is relatively poor, Traditional cancer therapy operates by producing extensive DNA damage that in turn inhibits proliferation and activates cell-death pathways. 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. 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 ¼ 3.46; 95% CI ¼ 1.28–9.33). 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. 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 cancerThe 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 We subclassified CT into alkylating agent, topoisomerase II inhibitors, and antimetabolites to analyze because they are suggested to have increased risks of MDS.13 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.  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. which far outweigh the potential risk of MDS.

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.
  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.
  3.  Choi M, Craft B, Geraci SA. Surveillance and monitoring of adult cancer survivors. Am J Med. 2011;124:598–601. 
  4. Cazzola M, Malcovati L. Myelodysplastic syndromes – coping with ineffective hematopoiesis. N Engl J Med. 2005;352:536–538.
  5.  Besa EC. Myelodysplastic syndromes (refractory anemia). A perspective of the biologic, clinical, and therapeutic issues. Med Clin North Am. 1992;76:599–617.
  6.  Germing U, Kobbe G, Haas R, et al. Myelodysplastic syndromes: diagnosis, prognosis, and treatment. Dtsch Arztebl Int. 2013;110:783–790.
  7. 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.
  8.  Leone G, Pagano L, Ben-Yehuda D, et al. Therapy-related leukemia and myelodysplasia: susceptibility and incidence. Haematologica. 2007;92:1389–1398.
  9.  Bonin SR, Lanciano RM, Smith MR, et al. Treatment-related myelodysplastic syndrome following abdominopelvic radiotherapy for endometrial cancer. Gynecol Oncol. 1995;57:430–432.
  10.  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.
  11.  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.
  12.  Sill H, Olipitz W, Zebisch A, et al. Therapy-related myeloid neoplasms: pathobiology and clinical characteristics. Br J Pharmacol. 2011;162:792–805.
  13. Graubert T. Therapy-related myelodysplastic syndrome: models and genetics. Biol Blood Marrow Transplant. 2010;16:S45–S47.
  14. Bennett JM, Catovsky D, Daniel MT, et al. Proposals for the classification of the myelodysplastic syndromes. Br J Haematol. 1982;51:189–199.
  15.  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.
  16.  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.
  17. Warlick ED, Smith BD. Myelodysplastic syndromes: review of pathophysiology and current novel treatment approaches. Curr Cancer Drug Targets. 2007;7:541–558Review.
  18. Rund D, Ben Yehuda D. Therapy-related leukemia and myelodysplasia: evolving concepts of pathogenesis and treatment. Hematology. 2004;9:179–187.
  19. Pedersen-Bjergaard J, Andersen MK, Christiansen DH, et al. Genetic pathways in therapy-related myelodysplasia and acute myeloid leukemia. Blood. 2002;99:1909–1912.
  20. Moloney WC. Radiogenic leukemia revisited. Blood. 1987;70:905– 908.
  21. 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.

Reference

  1. Cancer Statistics Annual Report: Taiwan Cancer Registry. Available from http://tcr.cph.ntu.edu.tw/main.php?Page=N2. Accessed September 25, 2014.
  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.
  3.  Choi M, Craft B, Geraci SA. Surveillance and monitoring of adult cancer survivors. Am J Med. 2011;124:598–601. 
  4. Cazzola M, Malcovati L. Myelodysplastic syndromes – coping with ineffective hematopoiesis. N Engl J Med. 2005;352:536–538.
  5.  Besa EC. Myelodysplastic syndromes (refractory anemia). A perspective of the biologic, clinical, and therapeutic issues. Med Clin North Am. 1992;76:599–617.
  6.  Germing U, Kobbe G, Haas R, et al. Myelodysplastic syndromes: diagnosis, prognosis, and treatment. Dtsch Arztebl Int. 2013;110:783–790.
  7. 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.
  8.  Leone G, Pagano L, Ben-Yehuda D, et al. Therapy-related leukemia and myelodysplasia: susceptibility and incidence. Haematologica. 2007;92:1389–1398.
  9.  Bonin SR, Lanciano RM, Smith MR, et al. Treatment-related myelodysplastic syndrome following abdominopelvic radiotherapy for endometrial cancer. Gynecol Oncol. 1995;57:430–432.
  10.  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.
  11.  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.
  12.  Sill H, Olipitz W, Zebisch A, et al. Therapy-related myeloid neoplasms: pathobiology and clinical characteristics. Br J Pharmacol. 2011;162:792–805.
  13. Graubert T. Therapy-related myelodysplastic syndrome: models and genetics. Biol Blood Marrow Transplant. 2010;16:S45–S47.
  14. Bennett JM, Catovsky D, Daniel MT, et al. Proposals for the classification of the myelodysplastic syndromes. Br J Haematol. 1982;51:189–199.
  15.  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.
  16.  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.
  17. Warlick ED, Smith BD. Myelodysplastic syndromes: review of pathophysiology and current novel treatment approaches. Curr Cancer Drug Targets. 2007;7:541–558Review.
  18. Rund D, Ben Yehuda D. Therapy-related leukemia and myelodysplasia: evolving concepts of pathogenesis and treatment. Hematology. 2004;9:179–187.
  19. Pedersen-Bjergaard J, Andersen MK, Christiansen DH, et al. Genetic pathways in therapy-related myelodysplasia and acute myeloid leukemia. Blood. 2002;99:1909–1912.
  20. Moloney WC. Radiogenic leukemia revisited. Blood. 1987;70:905– 908.
  21. 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.

Photo
Sunil Fulmali
Corresponding author

Shri Swami Samarth institute of pharmacy,malwadi,bota.

Photo
Akshada Suryawanshi
Co-author

Shri Swami Samarth institute of pharmacy malwadi, bota.

Photo
Gadekar Madhuri
Co-author

Shri Swami Samarth institute of pharmacy malwadi,bota .

Sunil Fulmali*, Akshada Suryawanshi, Radiotherapy and Chemotherapy-Induced Myelodysplasia Syndrome, Int. J. of Pharm. Sci., 2025, Vol 3, Issue 1, 2214-2224. https://doi.org/10.5281/zenodo.14744600

More related articles
Silver Nanoparticles Of Tetrahydrocurcumin Attenua...
Manivasagam Thamilarasan, Aruna D. Selvaraj, Justin T. Arokiasamy...
A Review on Therapeutic Potential of Piper nigrum ...
Mayur S Tekade , Nilesh D. Khade, Ganesh R. Pawar , ...
Study The Evaluation Parameters, Characterization ...
Kamalakar Sanjay Kale, Mahesh Kale , Mahesh Lodhe , Vedant kolhe ...
Related Articles
Disruption In Modulation: Unraveling Anxiety Disorders And The Role Of GABA Neur...
Ayush Kumar, Ankita Singh, Anupama Kumari, Arnab Roy, Sajid Ansari, Subham Kumar Lohani, Nahida Khat...
International Organization for Standardizations 9000 ...
Madhushri Mane, Rajlaxmi Patil, Pritee Mudagal, Amruta Nikam, Nita Sid, ...
The Science and Tradition of Calendula: A Review of Phytochemistry and Ethnophar...
Lalit Ambhore, Kaveri Bharat Jagtap , Leena Umesh Parkhi , Mahendra Siddheshwar Shendkar, Lahoo Balu...
Silver Nanoparticles Of Tetrahydrocurcumin Attenuate The Oxidative Stress And Mi...
Manivasagam Thamilarasan, Aruna D. Selvaraj, Justin T. Arokiasamy, Gomathi Balavinayagam, ...
More related articles
Silver Nanoparticles Of Tetrahydrocurcumin Attenuate The Oxidative Stress And Mi...
Manivasagam Thamilarasan, Aruna D. Selvaraj, Justin T. Arokiasamy, Gomathi Balavinayagam, ...
Study The Evaluation Parameters, Characterization Of Zinc Oxide Lotion With Aloe...
Kamalakar Sanjay Kale, Mahesh Kale , Mahesh Lodhe , Vedant kolhe , Harshal Lokhande , Deep Lahane , ...
Silver Nanoparticles Of Tetrahydrocurcumin Attenuate The Oxidative Stress And Mi...
Manivasagam Thamilarasan, Aruna D. Selvaraj, Justin T. Arokiasamy, Gomathi Balavinayagam, ...
Study The Evaluation Parameters, Characterization Of Zinc Oxide Lotion With Aloe...
Kamalakar Sanjay Kale, Mahesh Kale , Mahesh Lodhe , Vedant kolhe , Harshal Lokhande , Deep Lahane , ...