Thorac Cardiovasc Surg 2020; 68(05): 433-439
DOI: 10.1055/s-0039-1678612
Original Thoracic
Georg Thieme Verlag KG Stuttgart · New York

Thymic Epithelial Tumors: Prognostic Significance and Relationship between Histology and the New TNM Staging System

Nicola Tamburini
1   Department of Morfology, Experimental Medicine and Surgery, Section of General and Thoracic Surgery, Sant'Anna Hospital, University of Ferrara, Ferrara, Italy
,
Pio Maniscalco
1   Department of Morfology, Experimental Medicine and Surgery, Section of General and Thoracic Surgery, Sant'Anna Hospital, University of Ferrara, Ferrara, Italy
,
Andrea Migliorelli
1   Department of Morfology, Experimental Medicine and Surgery, Section of General and Thoracic Surgery, Sant'Anna Hospital, University of Ferrara, Ferrara, Italy
,
Fares Nigim
2   Division of Neurosurgery, Department of Surgery, Harvard Medical School, Boston, Massachusetts, United States
,
Francesco Quarantotto
1   Department of Morfology, Experimental Medicine and Surgery, Section of General and Thoracic Surgery, Sant'Anna Hospital, University of Ferrara, Ferrara, Italy
,
Elisa Maietti
3   Center for Clinical Epidemiology of the School of Medicine, University of Ferrara, Ferrara, Italy
,
Giorgio Cavallesco
1   Department of Morfology, Experimental Medicine and Surgery, Section of General and Thoracic Surgery, Sant'Anna Hospital, University of Ferrara, Ferrara, Italy
› Author Affiliations
Further Information

Address for correspondence

Nicola Tamburini, MD
Department of Morfology, Experimental Medicine and Surgery
Section of Chirurgia 1 Chirurgia Toracica, Sant'Anna Hospital, University of Ferrara, 44124, Ferrara
Italy   

Publication History

24 September 2018

04 January 2019

Publication Date:
22 February 2019 (online)

 

Abstract

Background This study aims to describe the relationship between the new tumor nodes metastasis (TNM) staging and World Health Organization (WHO) classification and to identify how these two variables relate to each other and whether they possess a prognostic value in predicting survival and recurrence of disease.

Methods Medical records of 54 patients who underwent surgery for thymic epithelial tumors between 1996 and 2015 were reviewed.

The histologic type of neoplasm was classified according to the criteria of WHO and staging was evaluated using the new TNM classification system.

Results A significant correlation between the TNM stages and the histological classification was found (p < 0.001). Complete resection is related to both TNM stage and histological grading (p < 0.001). Evaluation of the 5- and 10-year survival curves shows how these are significantly correlated only at the stage (p = 0.03 and = 0.04, respectively). The risk of death at 5 and 10 years for stages III to IV is six and three times higher than in stages I to II, respectively. Regarding the disease-free survival, there is significant correlation with both staging and histology (p = 0.001 and = 0.02, respectively).

Conclusions There is a significant correlation between the new TNM staging and the histological grade WHO. The ability to implement a complete resection, the overall and disease-free survival is closely related to the thymoma stage. Furthermore, both histotype and stage correlate with disease-free survival. In fact, the least aggressive stages, both WHO and TNM, have a free time out of disease superior to advanced stages.


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Introduction

Thymoma is the most common mediastinal neoplasm in adults accounting for 50% of all mediastinal neoplasms. However, it can be considered a rare disease with an incidence of 3/1,000,000 inhabitants per year.[1] It is well known for its heterogeneous oncology behavior, variability in histological appearance, and association with autoimmune diseases, the most common of them being myasthenia gravis (MG). A new staging for thymoma was proposed in 2014 and subsequently published in the eighth edition of the tumor nodes metastasis (TNM) classification of malignant tumors.[2] [3] This study aims to describe the correlation between the new TNM staging and the World Health Organization (WHO) classification and to identify, through regression models, how these two variables relate to each other and whether they have a prognostic value in predicting survival and recurrence of disease.


#

Methods

Patients

The study was conducted in Ferrara University hospital, which is a tertiary center for thoracic surgery. All patients receiving surgery with curative intent for thymoma at our department between January 1995 and December 2016 were identified using the institution's database. A retrospective analysis of these patients' records was performed.

Therefore, patients with definitive histological diagnosis of thymic carcinoma, thymic carcinoid, thymic hyperplasia, thymolipoma, primary thymic lymphoma, or thymic cyst were excluded from the study. Patients who received nonsurgical treatments were also excluded. Preoperative assessment in a patient with a suspected thymoma includes routine blood tests, electrocardiography, pulmonary function tests and arterial blood gas analysis, computed tomography scan of the chest and upper abdomen, neurologic consultation in case of associated MG, and chest magnetic resonance imaging in selected cases. Comorbidities and postoperative complications were defined according Charlson Comorbidity Index score.[4] Ethical approval for this study was sought and obtained from the local ethic committee.


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Histological and Clinical-Pathological Staging

The histologic type of neoplasm was classified according to WHO 1999 criteria, updated in 2004.[5] [6] All samples were reclassified according to the most recent 2004 criteria. The tumor stage was determined according to the new TNM classification system.[2] [3] Myasthenic patients were divided into five stages, depending on muscular involvement and symptom severity, following the guidelines of the Medical Scientific Advisory Board of the MGFA.[7]


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Surgical Treatment

Surgery included resection of the thymoma, always associated with total thymectomy. Extended resections were performed in cases of gross involvement of surrounding organs including mediastinal pleura, lung, pericardium, and superior vena cava. Where radical resection (R0) was not possible because of the invasiveness of the tumor, the resection was defined incomplete (R1). Surgical approaches included median sternotomy, thoracotomy, clamshell incision, and video-assisted thoracoscopic surgery (VATS). The choice of technique was accomplished in relation to age, clinical condition of the patient, size, and invasiveness of the neoplasm found both preoperatively and surgically.


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Statistical Analysis

For categorical variables, absolute and percentage frequencies are reported, while for numeric variables average and standard deviation are reported. The graphic description was made using bar graphs and pie charts. The comparison between groups was performed using t-test for numeric variables, while for categorical variables Pearson chi-square test or, in case of low number, the exact Fisher's exact test was adopted. Overall survival (OS) and disease-free survival (DFS) defined as freedom from recurrence in case of complete resection (R0) or as time-to-progression in case of incomplete recurrence (R1–R2) were calculated from the day of surgery. For survival analysis, time was calculated in months, from the date of thymectomy until the date of death for reasons related to thymic neoplasia or other causes. The disease-free follow-up, expressed in months, was evaluated over the 10 years after surgery. Survival analysis was undertaken using the Kaplan–Meier method. The comparison between groups was evaluated using the Cox regression model by reporting its hazard ratio (HR) and p value.


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#

Results

Clinical

[Table 1] illustrates the patients' characteristics. Our cohort included 54 patients, 27 women, and 27 men with a mean age at the time of surgery was 60.8 years (range, 23–84 years). Twenty patients (37.04%) presented with MG and their mean age was 59 years (range, 30 and 83 years). Thirty-five patients (64.8%) had the following onset symptoms: two (5.7%) patients with pneumonia, three (8.6%) with retrosternal pain, six (17.1%) with cough, one with dyspnea (2.9%), one with mediastinal syndrome (2.9%), two with pleural effusion (5.7%), and twenty patients (57.1%) with myasthenic symptoms. The mean Charlson Comorbidity Index was of 4.7, ranging between 2 and 13.

Table 1

Clinical characteristics of patients

Number

%

Male/female

27/27

50/50%

Average age (range)

60.8 (23–84)

Myasthenic

20

37%

Onset symptoms

Asymptomatic

19

35.2%

Symptomatic

35

64.8%

 Myasthenia

20

57.1%

 Cough

6

17.1%

 Retrosternal pain

3

8.6%

 Pneumonia

2

5.7%

 Pleural effusion

2

5.7%

 Dyspnea

1

2.9%

 Mediastinal syndrome

1

2.9%

Charlson Comorbidity Index average (range)

4.7 (2–13)


#

Surgical Approach

Twenty-two (40.7%) thymectomies were performed using thoracoscopic approach and 32 (59.3%) cases underwent open procedures with the following surgical approaches: 5 clamshells (9.3%), 10 thoracotomies (18.5%), and 17 median sternotomies (31.5%), including 2 VATS (3.7%) thymectomies were converted to thoracotomy.

Complete resection (R0) was achieved in 43 (79.63%) patients; the remaining 11 cases (20.37%) underwent partial resection (R1).

Mean operative time was 210 minutes for open procedures and 150 minutes for minimally invasive approaches.

Mean hospital stay was 3 days in case of the mini-invasive procedures, and 9 days for open approaches (p = 0.027). It has to be noted that one patient had a 68-day hospital stay without whom the average hospitalization would have been 7 days. In 16 cases, intensive care unit (ICU) stay was required. Twelve of these (75%) received open surgeries. Almost half of myasthenic patients (45.0%, 9/20) required ICU stay.


#

Correlation between Histology and TNM

On the basis of WHO histological classification, 9 patients (16.7%) were detected with type A thymoma, 14 (25.9%) with type AB, 15 (27.8%) with type B1, 10 (18, 5%) with type B2, and 6 (11.1%) with type B3. Regarding the new TNM staging 37 (68.4%) patients were found at stage I, 1 (1.9%) at stage II, 9 (16.7%) at stage IIIA, 3 (5.6%) at stage IIIB, 4 (7.4%) at stage IVA, and zero patients at stage IVB.

The relationship between the WHO histological type and the new TNM staging is shown in [Fig. 1].

Zoom Image
Fig. 1 Histogram representing the relationship between tumor nodes metastasis (TNM) stages and World Health Organization (WHO) types.

There is an association between staging system and histology (p = 0.003), but it is challenging to define recurring groups because for some TNM stages the sample size is too small. TNM stages are divided into two groups: early stages (stage E) made by stages I and II, and advanced stages (stage A) determined by stages IIIA, IIIB, and IV. Stage E consisted of 38 cases (70.4%) and stage A of 16 cases (29.6%). The correlation between early and advanced stages and histological subtypes is shown in [Table 2].

Table 2

Correlation between TNM stages and WHO types

A

AB

B1

B2

B3

Stages E (I, II)

7

12

13

6

0

Stages A (IIIA, IIIB, IV)

2

2

2

4

6

Abbreviations: TNM, tumor nodes metastasis; WHO, World Health Organization.


Histological subtypes were also subdivided in two groups: Group 1 made by A, AB, B1 and group 2 consisting in types B2 and B3. Group 1 included 38 patients (70.4%) and group 2 16 patients (29.6%).

[Table 3] shows a significant correlation between histological subtypes and TNM stages with a 78% of global agreement (p <0.001).

Table 3

Relationship between the two WHO groups and the two TNM stages

Early stages (TNM stages I–II)

Advanced stages (TNM stages III–IV)

p-Value

Group 1 (WHO types A, AB, B1)

32

6

<0.001

Group 1 (WHO types B2, B3)

6

10

<0.001

Abbreviations: TNM, tumor nodes metastasis; WHO, World Health Organization.



#

Correlation between Masaoka and the 8th Edition of TNM Staging System

[Table 4] shows the correlation between Masaoka and the new TNM staging system: Masaoka stage II cases only were redistributed in TNM stage I for 8 (80%), stage II (10%), and stage IIIA (10%).

Table 4

Correlation between TNM and Masaoka stages

Stage I

Stage II

Stage IIIA

Stage IIIB

Stage IV

Masaoka I

29

0

0

0

0

Masaoka IIA

7

0

1

0

0

Masaoka IIB

1

1

0

0

0

Masaoka III

0

0

8

3

0

Masaoka IVA

0

0

0

0

4

Abbreviation: TNM, tumor nodes metastasis.



#

Regression Analysis

[Table 5] shows the results of the regression model considering TNM staging as the outcome variable: Stage E showed a higher proportion of myasthenic patients (p = 0.07) and complete resection (R0) surgeries (p < 0.001). The 10-year recurrence rate was 5.6% for stage E and 60% for stage A (p < 0.001). The 5-year survival was 94.7% for stage E and 62.6% for stage A as shown in [Fig. 2] (p= 0.002). The 10-year survival rate was 81.58% for stage E and 62.58% for stage A as shown in [Fig. 3] (p= 0.001).

Zoom Image
Fig. 2 Five-year adjusted survival curves.
Zoom Image
Fig. 3 Ten-year adjusted survival curves.
Table 5

Relationship between TNM stage and other variables

Stage E

Stage A

p-Value

Average age (±SD)

61.6 (±12.47)

58.9 (±15.5)

0.50

Sex M/F

18/20 (47.37/52.63%)

9/7 (56.25/43.75%)

0.55

Myasthenic

17 (85%)

3 (15%)

0.07

Charlson Comorbidity Index average (±SD)

4.2 (±1.4)

5.9 (±3)

0.03

Surgery VATS/open

18/20 (47.37/53.63%)

4/12 (25/75%)

0.002

R0/R1

38/0 (100/0%)

11/5 (68.75/31.25%)

<0.001

Recurrence yes/no

2/36(5.26/94.74)

9/6 (60/40%)

<0.001

Death at 5 years yes/no

2/36 (5.26/94.74%)

6/10 (37.5/62.58%)

0.002

Death at 10 years yes/no

7/31 (18.42/81.58%)

6/10 (37.5/62.58%)

0.001

Abbreviations: SD, standard deviation; TNM, tumor nodes metastasis; VATS, video-assisted thoracoscopic surgery.


Note: Regression model considering TNM staging as the outcome variable.


[Table 6] demonstrates the results of the regression model considering WHO histology as the outcome variable: a complete resection (R0) was achieved 94.74% of patients in group 1 and 43.75% in group 2 (p < 0.001). In addition, the recurrence was found in 10.53% of cases of group 1 and 46.67% of group 2 (p = 0.003).

Table 6

Relationship between WHO groups and other variables

Group 1

Group 2

p-Value

Average age (±SD

59.7 (±13.9)

63.6 (±12.1)

0.03

Sex M/F

21/17 (55.26/44.74%)

6/10 (37.5/62.5%)

0.23

Myasthenic

15 (75%)

5 (25%)

0.57

Charlson Comorbidity Index average (±SD)

4.1 (±1.5)

6.1 ( ± 2.7)

0.005

Surgery VATS/open

17/21 (44.74/55.26%)

5/11 (31.25/68.75%)

R0/R1

36/2 (94.74/5.26%)

7/9 (43.75/56.25%)

<0.001

Recurrence yes/no

4/34 (10.53/89.47%)

7/8 (46.67/53.33%)

0.003

Death at 5 years yes/no

3/35 (7.89/92.11%)

5/11 (31.25/68.75%)

0.03

Death at 10 years yes/no

9/29 (23.68/76.32%)

8/8 (50/50%)

0.057

Abbreviations: SD, standard deviation; VATS, video-assisted thoracoscopic surgery; WHO, World Health Organization.


Note: Regression model considering WHO histology as the outcome variable.


The survival at 5 and 10 years was 92.11 and 76.32%, respectively, for group 1; while in group 2 it was 68.75% at 5 years and 50% at 10 years (p = 0.03 and 0.057, respectively) ([Table 6]; [Figs. 2] and [3]).


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Survival Analysis

Overall 5- and 10-year survival was 85.2 and at 75.9%, respectively. When stratified by stage and histology, a significant 5-year OS difference was observed in stage E and A patients (p = 0.015) but in histological subgroups ([Fig. 2]), the probability of death at 5 years for stage A patients was approximately seven times higher than for stage E patients (HR = 7.62). This value was corrected with possible confounding factors. For all the corrections made in this study (age, gender, MG, radicality, Charlson Comorbidity Index), only the Charlson Comorbidity Index was found related to survival and recurrence, so it was the only factor taken into account to adjust the results. We found that stage only was a 5-year OS strong independent prognostic factor (p value corrected = 0.034) and the HR resulted to be 6.44.

[Fig. 3] illustrated 10-year survival analysis: a significant correlation with stage only (p = 0.002) was found. The adjusted 10-year OS analysis showed that stage is a strong independent prognostic factor (p = 0.044). Stage A patients have a 10-year death probability which is three times higher than stage E patients (HR = 3.15).

[Fig. 4] shows survival analysis using DFS as a measure of outcome: a significant relationship with both histology (p = 0.005) and stage (<0.001) was identified. After the correction of the results, the relationship remained significant. Group 2 had a risk of recurrence 10 years, which was five times higher than group 1 (HR = 4.89 and p = 0.021). Stage A is likely to have recurrence 15 times higher than stage E (HR = 15.18 and p = 0.001).

Zoom Image
Fig. 4 Disease-free adjusted survival curves.

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#

Discussion

In 2014, a new staging for thymoma was proposed, which was subsequently published in 2016 in the eighth edition of the TNM classification of malignant tumors.[2] [3] There are no studies in literature analyzing the correlation between the new staging system with other variables such as the WHO histotypes and MG. The main objective of this study was to evaluate the correlation between the new TNM staging system and histological WHO classification. Another goal of this study was to analyze how these two elements interrelate one another in terms of clinical presentation and the long-term outcome. Different studies have been published to evaluate the prognostic role of WHO classification with conflicting results.[8] [9] [10] Although most authors showed trend toward a survival decrement proceeding from A to B3 histotypes, there is still no clear evidence of the histologic subgroups impact on outcome.[11] [12] The results indicate that there is a significant correlation between the new TNM staging and the histological grade WHO: stages I and II are more frequently associated with histologic groups A, AB, and B1, as well as stages III and IV are more associated with groups B2 and B3. It can also be seen how the percentage of stages III and IV is much higher in B2 than A, AB, and B1, reaching 100% in B3. We can, therefore, define that histologic degrees B2 and B3 are closely associated with stages III and IV of the new TNM staging.

These results may have important clinical repercussions: in the case of preoperative diagnosis of thymoma type B2 and B3, neoadjuvant treatments may increase the full resection rate, according to Lucchi and Gregory.[13] [14] In addition, patients with definitive diagnosis of type B2 or B3 thymoma, even in the case of complete resection, may be eligible for adjuvant treatments. In fact, the clinical practice guidelines of the European Society for Medical Oncology suggest considering both stage and histology in the evaluation of postoperative radiotherapy treatment.[15] Further prospective studies are required to confirm this preliminary data in the future.

Margaritora et al[16] found a significant survival advantage in thymoma patients with MG both in terms of OS and DFS; however, they pointed out no correlation between stage and MG. In our study, MG is a positive predictive factor of survival (p = 0.07): it is more frequent in stages I and II thymomas (17 cases), and rare in stages III and IV (only 3 cases). This association was also reported by other authors[17] [18] and in our opinion could be explained by the stricter and prompt radiological examination performed on every myasthenic patients to exclude thymic disease.[19]

In literature, it is widely documented that the possibility of performing a complete resection is one of the most important prognostic factors influencing survival.[20] [21] Not surprisingly, in our study the impact of the extent of surgical resection on outcome was confirmed: this was achieved in 100% of cases at early stages and in 69% of invasive stages, as reported by Detterbeck et al.[2] Furthermore, the possibility of performing a complete resection is statistically different between the two histological groups with a possibility to achieve a 95% radical resection in groups A, AB, and B1 and 44% in the B2 and B3 groups.

Our study also shows how stage and histological grading are an important prognostic factor for DFS. There is a significant difference between early stages and invasive stages, as well as between groups A, AB, B1, and groups B2 and B3. In stages III and IV, the 10-year recurrence rate was 60% and patients affected by B2 and B3 thymomas have a five times higher risk of recurrence than patients with A, AB, and B1 histotypes. We also highlighted that patients with invasive stages have risk of relapse at 10 years 15 times higher than early stages. The eighth edition thymic stage classification provides different advantages: it focuses on invasion of adjacent structures and therefore it reflects the ability to resect thymic malignancies and survival.[22] The association between histology and outcome could have important clinical consequences: it could justify stricter follow-up programs for patients with histopathologic diagnosis B2 or B3.

Several studies reported the role of open and thoracoscopic approach in terms of survival.[23] In the present study, comparing the data concerning the possible surgical approaches (open and mini-invasive), for stage and grading, it was found that the open approach has been used in the majority of cases. The percentages of use of this technique increase with increasing TNM stage (53% in early stages and 75% in advanced stages). However, it is important to point out that the mini-invasive approach significantly reduces the average time of the intervention (150 minutes) compared with the open technique (210 minutes) and also dramatically reduces the average stay time (3 vs 9 days).


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Limitations

This investigation represents a single institution's experience, the cohort of patients was assessed retrospectively, and we acknowledge that there is inherent bias associated with this approach.


#

Conclusion

Our study shows that there is a correlation between the two WHO groups and the two TNM groups. MG is more frequently associated with early stage tumors. The ability to implement a full resection, the rate of recurrence, and survival are closely related to the thymoma stage. It also shows how both histotype and stage correlate with DFS. In fact, the least aggressive stages, both WHO and TNM, have a disease-free time superior to advanced stages.


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Conflict of Interest

None.

  • References

  • 1 de Jong WK, Blaauwgeers JL, Schaapveld M, Timens W, Klinkenberg TJ, Groen HJ. Thymic epithelial tumours: a population-based study of the incidence, diagnostic procedures and therapy. Eur J Cancer 2008; 44 (01) 123-130
  • 2 Detterbeck FC, Stratton K, Giroux D. , et al; Staging and Prognostic Factors Committee; Members of the Advisory Boards; Participating Institutions of the Thymic Domain. The IASLC/ITMIG thymic epithelial tumors staging project: proposal for an evidence-based stage classification system for the forthcoming (8th) edition of the TNM classification of malignant tumors. J Thorac Oncol 2014; 9 (09) (Suppl. 02) S65-S72
  • 3 Rami-Porta R. , Ed. Staging Manual in Thoracic Oncology. 2nd ed. North Fort Meyers (FL): Editorial Rx Press; 2016: 237-258
  • 4 Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987; 40 (05) 373-383
  • 5 Rosai J, Sobin L. Histological typing of tumours of the thymus. In: Rosai J, Sobin L. , eds. World Health Organization, International Histological Classification of Tumours. Berlin: Springer; 1999: 9-14
  • 6 Brambilla E, Müller-Hermelink HK, Harris CC. Pathology and Genetics of Tumours of the Lung, Pleura, Thymus and Heart. Lyon: IARC Press; 2004: 147
  • 7 Osserman KE, Genkins G. Studies in myasthenia gravis: review of a twenty-year experience in over 1200 patients. Mt Sinai J Med 1971; 38 (06) 497-537
  • 8 Ruffini E, Filosso PL, Mossetti C. , et al. Thymoma: inter-relationships among World Health Organization histology, Masaoka staging and myasthenia gravis and their independent prognostic significance: a single-centre experience. Eur J Cardiothorac Surg 2011; 40 (01) 146-153
  • 9 Chen G, Marx A, Chen WH. , et al. New WHO histologic classification predicts prognosis of thymic epithelial tumors: a clinicopathologic study of 200 thymoma cases from China. Cancer 2002; 95 (02) 420-429
  • 10 Quintanilla-Martinez L, Wilkins Jr EWJ, Choi N, Efird J, Hug E, Harris NL. Thymoma. Histologic subclassification is an independent prognostic factor. Cancer 1994; 74 (02) 606-617
  • 11 Okumura M, Miyoshi S, Fujii Y. , et al. Clinical and functional significance of WHO classification on human thymic epithelial neoplasms: a study of 146 consecutive tumors. Am J Surg Pathol 2001; 25 (01) 103-110
  • 12 Wright CD, Wain JC, Wong DR. , et al. Predictors of recurrence in thymic tumors: importance of invasion, World Health Organization histology, and size. J Thorac Cardiovasc Surg 2005; 130 (05) 1413-1421
  • 13 Lucchi M, Ambrogi MC, Duranti L. , et al. Advanced stage thymomas and thymic carcinomas: results of multimodality treatments. Ann Thorac Surg 2005; 79 (06) 1840-1844
  • 14 Riely GJ, Huang J. Induction therapy for locally advanced thymoma. J Thorac Oncol 2010; 5 (10) (Suppl. 04) S323-S326
  • 15 Girard N, Ruffini E, Marx A, Faivre-Finn C, Peters S. ; ESMO Guidelines Committee. Thymic epithelial tumours: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol 2015; 26 (Suppl. 05) v40-v55
  • 16 Margaritora S, Cesario A, Cusumano G. , et al. Thirty-five-year follow-up analysis of clinical and pathologic outcomes of thymoma surgery. Ann Thorac Surg 2010; 89 (01) 245-252 , discussion 252
  • 17 Kondo K, Monden Y. Thymoma and myasthenia gravis: a clinical study of 1,089 patients from Japan. Ann Thorac Surg 2005; 79 (01) 219-224
  • 18 Evoli A, Minisci C, Di Schino C. , et al. Thymoma in patients with MG: characteristics and long-term outcome. Neurology 2002; 59 (12) 1844-1850
  • 19 Sanders DB, Wolfe GI, Benatar M. , et al. International consensus guidance for management of myasthenia gravis: executive summary. Neurology 2016; 87 (04) 419-425
  • 20 Maggi G, Casadio C, Cavallo A, Cianci R, Molinatti M, Ruffini E. Thymectomy in myasthenia gravis. Results of 662 cases operated upon in 15 years. Eur J Cardiothorac Surg 1989; 3 (06) 504-509 , discussion 510–511
  • 21 Detterbeck F, Parsons A. Thymic tumors: a review of current diagnosis, classification, and treatment. In: GA Patterson JD, Lerut A, Luketich JD, Rice JW, Pearson FG. , eds. Thoracic and Esophageal Surgery. 3rd edition. Philadelphia: Elsevier; 2008: 1589-1614
  • 22 Detterbeck FC. Clinical implication of the new TNM classification of thymic malignancies. J Thorac Dis 2018; 10 (Suppl. 22) S2692-S2695
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Address for correspondence

Nicola Tamburini, MD
Department of Morfology, Experimental Medicine and Surgery
Section of Chirurgia 1 Chirurgia Toracica, Sant'Anna Hospital, University of Ferrara, 44124, Ferrara
Italy   

  • References

  • 1 de Jong WK, Blaauwgeers JL, Schaapveld M, Timens W, Klinkenberg TJ, Groen HJ. Thymic epithelial tumours: a population-based study of the incidence, diagnostic procedures and therapy. Eur J Cancer 2008; 44 (01) 123-130
  • 2 Detterbeck FC, Stratton K, Giroux D. , et al; Staging and Prognostic Factors Committee; Members of the Advisory Boards; Participating Institutions of the Thymic Domain. The IASLC/ITMIG thymic epithelial tumors staging project: proposal for an evidence-based stage classification system for the forthcoming (8th) edition of the TNM classification of malignant tumors. J Thorac Oncol 2014; 9 (09) (Suppl. 02) S65-S72
  • 3 Rami-Porta R. , Ed. Staging Manual in Thoracic Oncology. 2nd ed. North Fort Meyers (FL): Editorial Rx Press; 2016: 237-258
  • 4 Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987; 40 (05) 373-383
  • 5 Rosai J, Sobin L. Histological typing of tumours of the thymus. In: Rosai J, Sobin L. , eds. World Health Organization, International Histological Classification of Tumours. Berlin: Springer; 1999: 9-14
  • 6 Brambilla E, Müller-Hermelink HK, Harris CC. Pathology and Genetics of Tumours of the Lung, Pleura, Thymus and Heart. Lyon: IARC Press; 2004: 147
  • 7 Osserman KE, Genkins G. Studies in myasthenia gravis: review of a twenty-year experience in over 1200 patients. Mt Sinai J Med 1971; 38 (06) 497-537
  • 8 Ruffini E, Filosso PL, Mossetti C. , et al. Thymoma: inter-relationships among World Health Organization histology, Masaoka staging and myasthenia gravis and their independent prognostic significance: a single-centre experience. Eur J Cardiothorac Surg 2011; 40 (01) 146-153
  • 9 Chen G, Marx A, Chen WH. , et al. New WHO histologic classification predicts prognosis of thymic epithelial tumors: a clinicopathologic study of 200 thymoma cases from China. Cancer 2002; 95 (02) 420-429
  • 10 Quintanilla-Martinez L, Wilkins Jr EWJ, Choi N, Efird J, Hug E, Harris NL. Thymoma. Histologic subclassification is an independent prognostic factor. Cancer 1994; 74 (02) 606-617
  • 11 Okumura M, Miyoshi S, Fujii Y. , et al. Clinical and functional significance of WHO classification on human thymic epithelial neoplasms: a study of 146 consecutive tumors. Am J Surg Pathol 2001; 25 (01) 103-110
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Fig. 1 Histogram representing the relationship between tumor nodes metastasis (TNM) stages and World Health Organization (WHO) types.
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Fig. 2 Five-year adjusted survival curves.
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Fig. 3 Ten-year adjusted survival curves.
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Fig. 4 Disease-free adjusted survival curves.