Literature DB >> 32607118

Thymoma Recurrence and its Predisposing Factors in Iranian Population: a Single Center Study.

Sharareh Seifi1, Babak Salimi1, Adnan Khosravi2, Zahra Esfahani-Monfared1, Mihan Pourabdollah1, Kambiz Sheikhi3.   

Abstract

BACKGROUND: Thymoma is relatively rare tumor. Prognosis and patients' outcome vary across different studies. We aimed to study the predisposing factors causing tumor recurrence in thymoma patients.
MATERIALS AND METHODS: A total of 43 thymoma or thymic carcinoma patients treated at the National Institute of Tuberculosis and Lung Disease (NRITLD), Masih Daneshvari Hospital from September 2005 to January 2017 were evaluated. The primary endpoint was the progression free survival (PFS). The relation of predisposing factors to PFS was studied.
RESULTS: Median age was 55 years old. The mean of follow-up duration was 22.9 months. The most prevalent pathology was thymoma unspecified. Pure red cell aplasia (n=3, 6.9%) was the most prevalent Para neoplastic syndrome. Most of the patients (n=23, 54%) were in stage III and IV Masaoka-Koga staging system. Disease progression was observed in 17 patients (39. 5%). Most recurrences occurred locally. None of demographic characteristics differed between patients who experienced disease recurrence and those who did not. After univariate and multivariate analysis, predisposing factor for disease progression was only Masaoka-Koga stage (P-value=0.015 and 0.031 respectively).
CONCLUSION: In this study, among different probable predisposing factors, only Masaoka-Koga stage had significant effect on disease recurrence. Large case-control studies may be required for better evaluation of risk factors. Copyright
© 2019 National Research Institute of Tuberculosis and Lung Disease.

Entities:  

Keywords:  Epidemiology; Prognosis; Recurrence; Risk Factors; Thymoma

Year:  2019        PMID: 32607118      PMCID: PMC7309889     

Source DB:  PubMed          Journal:  Tanaffos        ISSN: 1735-0344


INTRODUCTION

Primary thymus tumors-thymoma –are rare neoplasms originating from epithelial cells (1). Thymoma is a slow-growing tumor and prognosis is very good if diagnosed in early stages. It is known as the most common mediastinal tumor (2). Annual incidence of thymoma is 1.3–3.2 per 100,000 people per year. (3). Thymoma most frequently reports in the fourth and fifth decades of life and is equally common in men and women. Auto aggressive T-lymphocytes are deleted in thymus medulla and maturation of other T cells develops in thymic epithelial layer (4). Thus, thymus malignancies are commonly associated with abnormality of adaptive immunity and autoimmune disorders such as myasthenia gravis, pure red cell aplasia, or hypogammaglobulinemia (5). Surgical resection is the primary treatment of thymoma but in unrespectable/inoperable cases, chemotherapy, targeted therapy, and radiation therapy may be considered. Thymoma recurrence is rare and varies according to different studies (6). Some of probable risk factors for recurrence are: disease stage (7), histology (8), incomplete surgical resection of primary tumor (9) and tumor size (10). As we know, thymoma predisposing factors are relatively unclear and vary from one study to another. Therefore, we aimed to study our institute experiences over 12 years in thymoma patients’ population and assess their outcome and probable disease progression risk factors.

MATERIALS AND METHODS

Forty three patients with definite thymoma or thymic carcinoma histology who were treated at National Institute of Tuberculosis and Lung Disease (NRITLD), Masih Daneshvari Hospital, were eligible for this cross-sectional, and single institute study from September 2005 to January 2017. This study was conducted according to Shahid Beheshti Medical University’s ethics and scientific local committees (No.: IR.SBM.NRITLD.REC.1396.413) and in compliance with the Helsinki Declaration. Data regarding patient characteristics, stage, tumor size, histology and treatment strategies (surgery, radiotherapy, and/or chemotherapy) were collected. Our institute follows the NCCN and ESMO clinical practice guidelines multi-disciplinary team decision (11, 12). Surgical intervention included extended thymectomy via sternotomy, thoracotomy or video associated thoracoscopy (VATS). Masaoka-Koga staging system (13) was used for disease staging. Histological classification of thymoma was performed according to World Health Organization (WHO) (14) and Suster and Moran grading classification (15). Progression was established by patient’s symptoms, imaging finding and finally pathology proof. Recurrences are classified as local (anterior mediastinum), regional (intrathoracic not contiguous with the thymus), and distant (intrapulmonary and extrathoracic) according to International Thymic Malignancy Interest Group (ITMIG) (16).

Statistical Methods

The mean ± standard deviation (SD) was calculated for continuous variable. For categorical values number and percentage were obtained. Recurrence or progression of thymoma was considered as main event / endpoint of the study and assessed by progression (or recurrence) free survival (PFS). PFS was defined as the time from diagnosis to documented clinical progression or death for any cause. Patients who were alive or lost at follow up at time of data analysis, were censored for PFS analysis. To compare the frequencies between different groups, Chi-square tests were applied. A P -value of less than 0.05 was considered statistically significant. The predisposing factors including age, gender, smoking status, primary tumor site, histology, treatment strategy, Para neoplastic syndromes and stage in respect to PFS were analyzed using Cox regression tests for univariate and multivariate analysis. All confidence intervals (CIs) for parameters to be estimated were constructed with a significance level of alpha=0.05. Kaplan Meier’s survival curves were obtained for PFS. The log-rank test was used to assess the differences between PFS rates. Never smoker is defined as a person who has smoked less than 100 cigarettes in his/her lifetime (17). IBM SPSS statistical software version 19 for Windows (IBM, Armond, NY, USA) was used for data analysis.

RESULTS

Samples were obtained by surgical resection in 7 (16.2%), needle biopsy of primary tumors in 27 (62.7%), lung biopsy in 4 (9.3%) and pleural biopsy in 5 (11.6%) patients. Patients’ demographics in relation to recurrence/progression are summarized in Table 1. Median age was 55 years (range 24–83 years). Twenty seven patients (62.8%) were male and 16 (37.2%) were female. About 54% of patients were in stages III and IV. Most common histologic subtypes were unspecified thymoma (n=17, 39.5).
Table 1.

Demographic characteristics in respect to recurrence.

Number(%)ProgressionP-value
YesNoNAa
AgeN (%)N (%)
<5019(44.2)10(52.6)2(10.5)7(36.9)0.275
≥5124(55.80)7(29.2)5(20.8)12(50)
Sex
Male27(62.8)9(33.3)6(22.2)12(44.4)0.320
Female16(37.2)8(50)1(6.2)7(43.8)
Histology b
Thymoma(Unspecified)17(39.5)9(52.9)2(11.7)6(35.2)0.831
Thymic carcinoma10(23.3)4(40)2(20)4(40)
Thymoma(Type AB)3(7)01(33.3)2(66.7)
Thymoma (type A)1(2.3)001(100)
Thymoma (type B1)4(9.3)1(25)03(75)
Thymoma (type B2)4(9.3)2(50)02(50)
Thymoma (type B3)3(7)1(33.3)1(33.3)1(33.3)
Metaplastic Thymoma1(2.3)001(100)
Paraneoplastic syndromes
Yes5(11.6)2(40)1(20)2(40)0.965
No38(88.4)15(39.5)6(15.8)17(44,7)
Stage c
I17(39.5)8(47.1)2(11.7)7(41.1)0.778
II3(7)1(33.3)1(33.3)1(33.3)
III11(25.6)3(27.2)3(27.2)5(45,5)
IVa9(20.9)4(44.5)05(45.5)
IVb3(7)1(33.3)1(33.3)1(33.3)
Treatment
Surgery3(7)1(33.3)1(33.3)1(33.3)0.459
Chemotherapy22(51.1)10(45.4)2(9.1)10(45.4)
Surgery and adjuvant chemotherapy3(7)01(33.3)2(66.7)
Neoadjuvant chemotherapy and surgery2(4.7)1(50)1(50)0
Chemotherapy and radiotherapy7(16.3)4(57.1)2(28.5)1(14.4)
Surgery and radiotherapy5(11.6)1(20)1(20)3(60)
None1(2.3)001(100)

Abbreviations:

NA: not assessed;

according to WHO and Suster and Moran classifications;

according to Masaoka staging system.

Demographic characteristics in respect to recurrence. Abbreviations: NA: not assessed; according to WHO and Suster and Moran classifications; according to Masaoka staging system. Thirty patients (79.06%) received chemotherapy. CAP regimen (cyclophosphamide 500 mg/m2, adriamycin 50 mg/m2 and cisplatin 50 mg/m2 i.v. every 3 weeks) administrated for 29 (88.2%) patients and for rest of them (n=3, 11.8%), paclitaxel(200mg/m2) and carboplatin (AUC 5) i.v., every 3 weeks was used. Chemotherapy -as primary treatment- was administrated over a mean of 4.5 cycles (range 1–6). Details of Para neoplastic syndromes are as follows: 3(6.9%) pure red cell aplasia, one (2.3%) myasthenia gravis and one (2.3%) Good’s syndrome.

Progression status:

At of the time of data analysis, 9 patients died; among them one death was not associated with thymoma relapse and caused by patient suicide. Information of cases with documented recurrence is shown in Table 3. In 17 patients (39.5%) disease progression was documented. Mean PFS was 15.3±3.6 months. Figure 1 showed Kaplan-Meier survival curve from onset of recurrence. Mean follow up time was 22.9 months. Differences in mean of PFS between different groups of probable recurrence predisposing factors are demonstrated in Figure 2.
Table 3.

Information of cases with documented recurrence.

GenderAge (years)Primary treatmentPrimary StagePFS (months)Recurrence sitePost recurrence treatmentSecond recurrenceDeath
Female34Chemotherapy with CAP regimen followed by RadiotherapyIII10Distant(Bone and lung)Chemotherapy with Paclitaxel and carboplatinNoYes
Male48Chemotherapy with CAP regimenIVA2.2RegionalChemotherapy with Paclitaxel and carboplatinYesNo
Male47Chemotherapy with CAP regimenI4.9LocalPatient did suicide before any treatmentNoYes
Female68Chemotherapy with CAP regimen followed by RadiotherapyI32.5LocalChemotherapy with Paclitaxel and carboplatinYesNA
Female55Chemotherapy with CAP regimenI27.5LocalChemotherapy with Paclitaxel and carboplatinYesNo
Male44Chemotherapy with CAP regimenI10.8LocalChemotherapy with Paclitaxel and carboplatinYesYes
Male45Chemotherapy with CAP regimenIVB1.5Distant(Bone and lung(Chemotherapy with Paclitaxel and carboplatinYesYes
Female58Chemotherapy with CAP regimenIII3.9LocalChemotherapy with Paclitaxel and carboplatinYesYes
Male24SurgeryI46.2LocalRe-resectionYesYes
Male50Surgery followed by RadiotherapyII5.8RegionalChemotherapy with CAP regimenNoNA
Female63Chemotherapy with CAP regimen followed by RadiotherapyIVA12.5LocalChemotherapy with Paclitaxel and carboplatinNoYes
Male57Chemotherapy with CAP regimenIII4.2RegionalChemotherapy with Paclitaxel and carboplatinYesYes
Male47Chemotherapy with CAP regimenI39.8LocalRadiotherapyYesYes
Female42Chemotherapy with CAP regimenIVA4.3LocalChemotherapy with Paclitaxel and carboplatinNoNA
Female45Neoadjuvant Chemotherapy with CAP regimen followed by surgeryIVA4.4Distant(abdominal lymphadenopathy)Chemotherapy with Paclitaxel and carboplatinNoNA
Female66Chemotherapy with CAP regimenI8.9LocalChemotherapy with CAP regimenNoYes
Male83SurgeryI121Distant(Bone and lung)Chemotherapy with CAP regimenNoNo
Figure 1.

Progression free survival (PFS) in thymoma population. Kaplan-Meier survival curve from onset of recurrence. Mean PFS was 22.02±7.6 months.

Figure 2.

Progression free survival (PFS) in thymoma population respect to different groups of probable recurrence predisposing factors. a: The Kaplan-Meier survival curve from the onset of recurrence for studying the effect of age<50 vs. >50 on PFS; b: The Kaplan-Meier survival curve from the onset of recurrence for studying the effect of Sex on PFS; c: The Kaplan-Meier survival curve from the onset of recurrence for studying the effect of Histology; d: The Kaplan-Meier survival curve from the onset of recurrence for studying the effect of presence vs. absence of Paraneoplastic syndrome; e: The Kaplan-Meier survival curve from the onset of recurrence for studying the effect of Stage on PFS; f: The Kaplan-Meier survival curve from the onset of recurrence for studying the effect of Smoking status on PFS; g: The Kaplan-Meier survival curve from the onset of recurrence for studying the effect Treatment on PFS.

Progression free survival (PFS) in thymoma population. Kaplan-Meier survival curve from onset of recurrence. Mean PFS was 22.02±7.6 months. Progression free survival (PFS) in thymoma population respect to different groups of probable recurrence predisposing factors. a: The Kaplan-Meier survival curve from the onset of recurrence for studying the effect of age<50 vs. >50 on PFS; b: The Kaplan-Meier survival curve from the onset of recurrence for studying the effect of Sex on PFS; c: The Kaplan-Meier survival curve from the onset of recurrence for studying the effect of Histology; d: The Kaplan-Meier survival curve from the onset of recurrence for studying the effect of presence vs. absence of Paraneoplastic syndrome; e: The Kaplan-Meier survival curve from the onset of recurrence for studying the effect of Stage on PFS; f: The Kaplan-Meier survival curve from the onset of recurrence for studying the effect of Smoking status on PFS; g: The Kaplan-Meier survival curve from the onset of recurrence for studying the effect Treatment on PFS. Information of cases with documented recurrence. Differences in mean of PFS between different groups of probable recurrence predisposing factors are demonstrated in Figure 2. There was only statistically significant difference between stage I vs. other stages (P-Value=0.029). Predisposing factors in association with PFS were assessed by univariate/multivariate Cox regression analysis (Table 2). Only Masaoka-Koga stage of disease was significantly related to PFS in both univariate and multivariate analysis (P values= 0.015 and 0.031, respectively). Log-rank test was done for each probable progression risk factor including age, gender, disease stage, presence of Para neoplastic syndromes, histology, smoking status and treatment strategies (P-values=0.770, 0.575, 0.029, 0.852, 0.118, 0.969 and 0.273, respectively). Stage is the only statistically significant in association with PFS.
Table 2.

Prognostic factors affecting progression free survival.

Univariate analysisMultivariate analysis

95% CIaP-value95% CIP-value
LowerUpperLowerUpper
Age
<50 vs≥500.2942.4780.7710.2564.5810.915
Sex
Male vs. Female0.2542.1410.7380.0878.9550.557
Histology b
Thymoma (Unspecified, Type A, AB, B1 and B2 vs. others)c0.4634.9220.4940.4519.7520.345
Praraneoplasic syndromes
Yes vs. No0. 1903.9410.8520.19015.9140.623
Stage d
I vs. others1.1212.9170.015*1.23069.5540.031*
Smoking status
Smoker vs. non-smoker0.3473.0100.9690.28814.200.442
Treatment
Surgery vs. other treatment0.1954.1230.8890.0251.6320.134

Abbreviations:

CI: confidence interval;

according to WHO and Suster classifications ;

other included type B3 and thymic carcinoma;

according to Masaoka staging system.

significant P- value

Prognostic factors affecting progression free survival. Abbreviations: CI: confidence interval; according to WHO and Suster classifications ; other included type B3 and thymic carcinoma; according to Masaoka staging system. significant P- value

Post recurrence strategy:

As ITMIG classification (16), local recurrence was seen in 10 (58.8%), regional recurrence in 3(17.6%) and distant progression in 4(23.5%) patients. Among them, 13(76.4%) patients were treated with salvage chemotherapy, one patient (5.8%) underwent re-resection of tumor, 2(11.6%) received no further treatment for inappropriate performance status and one patient committed suicide after disease recurrence. Among patients who relapsed, 11 cases showed second progression and there were no differences between Post recurrence strategies and PFS after second recurrence (P-value=0.686).

DISCUSSION

As far as we know, our study is the first investigation focusing on thymoma progression risk factors in Iranian population. For best appropriate therapeutic approach, we need to identify tumor recurrence predisposing factors, especially in rare tumors. Thymoma is a slow-growing tumor that has indolent behavior (18). Therefore, the death of the patients has reasons other than thymoma (19). We chose PFS rather than overall survival, as recurrence may state clinical outcomes more accurately than survival. In current study, disease stage was the most important predisposing factor for tumor recurrence that had statistically significant association with PFS in both univariate and multivariate analysis. Median age in thymoma patients was between 49–56 years in different studies (19–24). Our result is in accordance with them. Aydinar et al. (25) and other studies (26, 27) demonstrated less survival for thymoma patients above 50 years old, but our study did not show that (19,21,22,28). Ahmad et al (29) claimed that female patients had worse prognosis and higher recurrence rate in comparison to men, but in most studies and also in current study equal gender association with prognosis in thymoma was observed (9, 28,30). Multiple classification systems for thymoma have been defined (28), but currently most of clinicians prefer the WHO classification system. We were unable to review pathologic diagnosis due to long investigation period and also inappropriate storage condition. Thus, we used 2 different histological classification systems: WHO and Suster and Moran classifications. Different geographic distribution of thymoma subtypes across the globe has been observed. For example in Europe subtype B2 is more common than Asia (31). Some investigators believe B2 and B3 subtypes have unfavorable outcome (32, 10, 20,33), while other studies do not accept it (29,31, 34). In this study, histopathology of tumor had no relation with PFS. Interestingly, we had a rare thymoma histology as metaplastic thymoma. Our case underwent surgery (R0) and due to capsular involvement received radiotherapy after surgery. Up to now, no tumor recurrence has been reported for him. This may suggest that metaplastic thymoma has a benign clinical course according to our and other results (35, 36). Paraneoplastic syndromes are associated with thymoma, but its role in relation to PFS has been debated. Some investigators demonstrated a protective effect on mortality or recurrence (27, 37, 38), although our results did not confirm any relation between recurrence and paraneoplastic syndromes (the same in many other studies) (20,39). It may be explained by small number of patients with paraneoplastic syndromes in our series and further studies with more number of patients are necessary. About 30–50% of thymoma patients showed myasthenia gravis (40) and 15% of myasthenia gravis cases have thymoma (41). In our series, the most common paraneoplastic syndrome was pure red cell aplasia which may be due to lacking of the capacity to propagate the maturation of immature naive CD4 T cells and export mature naive T cells into the periphery. Masaoka-Koga stage is known as the most important prognostic factor for recurrence in many investigations (19, 20, 21, 23, 37, 38, 39, 42). In concordance with mentioned studies, Masaoka-Koga stage was an important predisposing factor for tumor recurrence in our patients. Surgical resection is the gold standard treatment for thymoma. According to some studies, incomplete resection was the predisposing factor for disease progression (10) and complete resection is related to better survival and longer PFS (43). This result suggests patients who tolerate surgery, may get better results than other non-surgical treatment. Other treatment plans including radiotherapy, chemotherapy and multidisciplinary approaches are controversial. Radiotherapy commonly has been implicated in adjuvant setting after R0 stage II and III, after R1 resection in any stages and also in neoadjuvant setting (39). For example, some studies observed better PFS with adjuvant RT in some situations (38,39). Chemotherapy in both adjuvant and neoadjuvant settings has been administrated in thymoma especially in advanced stages and unresectable tumors. Lucchi et al. observed better survival with chemotherapy in advanced stages of thymoma (44). Some investigations reported long-term survival improvement after re-resection with recurrence (45), but other studies did not show that (46). In our opinion it seems that reoperation may be recommended for Thymoma relapse whenever complete resection is possible. Similar to other studies (6), most of the recurrences in our series were local. There are not many articles focusing on association between smoking status and Thymoma outcomes. Similar to our study, another investigation (47) found no relation between smoking habit and Thymoma prognosis. The risk of secondary malignancies may be increased in Thymoma patients. Some investigators believe that deregulation of immune system and also kind of treatment (especially radiotherapy) have crucial role in inducing secondary malignancies (48). In our series no secondary malignancy was observed. Currently, some genetic and epigenetic alternations such as epidermal growth factor receptor amplification, HER2/neu over expression (49), and c-Kit (CD 117) (50) activating mutation has been considered in thymoma pathogenesis (28). Due to rarity of thymoma, genetic study is not performed in routine practice and further studies are needed to show their relation with treatment and prognosis. The most important limitation of our study was the retrospective nature of study and varying classification systems which may cause significant bias. In conclusion Masaoka-Koga stage is the most important predisposing factor for disease recurrence among other factors. Further studies with larger number of patient’s cohort, uniform classification system and tumor molecular characteristics are needed to identify prognostic and predisposing factors to improve patient’s survival.
  47 in total

Review 1.  Standard outcome measures for thymic malignancies.

Authors:  James Huang; Frank C Detterbeck; Zuoheng Wang; Patrick J Loehrer
Journal:  J Thorac Oncol       Date:  2010-12       Impact factor: 15.609

2.  [Metaplastic thymoma:report of 2 cases].

Authors:  L P Yan; Y Huang; W B Mao; W Gong; S Y Cao; Y L Zhu
Journal:  Zhonghua Bing Li Xue Za Zhi       Date:  2016-04-08

3.  Epidermal growth factor receptor, C-kit, and Her2/neu immunostaining in advanced or recurrent thymic epithelial neoplasms staged according to the 2004 World Health Organization in patients treated with octreotide and prednisone: an Eastern Cooperative Oncology Group study.

Authors:  Seena C Aisner; Suzanne Dahlberg; Meera R Hameed; David S Ettinger; Joan H Schiller; David H Johnson; Joseph Aisner; Patrick J Loehrer
Journal:  J Thorac Oncol       Date:  2010-06       Impact factor: 15.609

4.  Prognostic factors for cure, recurrence and long-term survival after surgical resection of thymoma.

Authors:  Najib Safieddine; Geoffrey Liu; Kris Cuningham; Tsao Ming; David Hwang; Anthony Brade; Andrea Bezjak; Stefan Fischer; Wei Xu; Sassan Azad; Marcelo Cypel; Gail Darling; Kazu Yasufuku; Andrew Pierre; Marc de Perrot; Tom Waddell; Shaf Keshavjee
Journal:  J Thorac Oncol       Date:  2014-07       Impact factor: 15.609

5.  Histologic classification of thymic epithelial tumors: comparison of established classification schemes.

Authors:  Ralf J Rieker; Josef Hoegel; Alicia Morresi-Hauf; Walter J Hofmann; Hendrik Blaeker; Roland Penzel; Herwart F Otto
Journal:  Int J Cancer       Date:  2002-04-20       Impact factor: 7.396

Review 6.  Prognostic factors and genetic markers in thymoma.

Authors:  Katrien Van Kolen; Laurence Pierrache; Stijn Heyman; Patrick Pauwels; Paul Van Schil
Journal:  Thorac Cancer       Date:  2010-11       Impact factor: 3.500

7.  Therapy for thymic epithelial tumors: a clinical study of 1,320 patients from Japan.

Authors:  Kazuya Kondo; Yasumasa Monden
Journal:  Ann Thorac Surg       Date:  2003-09       Impact factor: 4.330

8.  Thymoma in myasthenia gravis: from diagnosis to treatment.

Authors:  Fredrik Romi
Journal:  Autoimmune Dis       Date:  2011-08-10

9.  Long term oncological outcome of thymoma and thymic carcinoma - an analysis of 235 cases from a single institution.

Authors:  Yen-Chiang Tseng; Yen-Han Tseng; Hua-Lin Kao; Chih-Cheng Hsieh; Teh-Ying Chou; Yih-Gang Goan; Wen-Hu Hsu; Han-Shui Hsu
Journal:  PLoS One       Date:  2017-06-20       Impact factor: 3.240

10.  [Clinical Study on the Prognosis of Patients with Thymoma with Myasthenia Gravis].

Authors:  Dongfeng Yuan; Zhitao Gu; Guanghui Liang; Wentao Fang; Yin Li
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2018-01-20
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