| Literature DB >> 34257595 |
Daniel Valdivia1, Danjouma Cheufou1, Benjamin Fels1, Stephan Puhlvers1, Khaled Mardanzai1, Mohamed Zaatar1, Gerhard Weinreich2, Christian Taube2, Dirk Theegarten3, Martin Stuschke4,5, Martin Schuler6,5, Georgios Stamatis1,5, Balazs Hegedus1, Clemens Aigner1,5.
Abstract
Thymic epithelial tumors are the most common mediastinal tumors. Surgery is the mainstay of treatment and complete resection provides the best survival rate. However, advanced tumors often require multimodality treatment and thus we analyzed the prognostic potential of routine circulating biomarkers that might help to risk-stratify patients beyond tumor stage and histology. Preoperative values for white blood cell count (WBC), C-reactive protein (CRP) and lactate dehydrogenase (LDH) were analyzed in 220 thymic epithelial tumor patients operated between 1999 and 2018. Increased CRP levels (>1 mg/dl) were significantly more often measured in thymic carcinoma and neuroendocrine tumors when compared to thymoma. LDH serum activity was higher in thymic neuroendocrine tumors when compared to thymoma or thymic carcinoma. The median disease specific survival was significantly longer in thymoma cases than in thymic carcinoma and neuroendocrine tumors. Increased preoperative LDH level (>240 U/L) associated with shorter survival in thymus carcinoma (HR 4.76, p = 0.0299). In summary, higher CRP associated with carcinoma and neuroendocrine tumors, while LDH increased primarily in neuroendocrine tumors suggesting that biomarker analysis should be performed in a histology specific manner. Importantly, preoperative serum LDH might be a prognosticator in thymic carcinoma and may help to risk stratify surgically treated patients in multimodal treatment regimens.Entities:
Keywords: C-reactive protein; CRP; LDH; thymectomy; thymic epithelial tumor; thymoma
Mesh:
Substances:
Year: 2021 PMID: 34257595 PMCID: PMC8262211 DOI: 10.3389/pore.2021.629993
Source DB: PubMed Journal: Pathol Oncol Res ISSN: 1219-4956 Impact factor: 3.201
Clinicopathological characteristics of the thymic epithelial tumor patients.
| Total (n = 220) | ||
|---|---|---|
| Gender | Male | 124 (56%) |
| Female | 96 (44%) | |
| Age | Mean ± SD | 59.4 ± 13.4 |
| Myasthenia gravis | Yes | 33 (15%) |
| No | 187 (85%) | |
| Operation | Sternotomy | 132 (60%) |
| Thoracotomy | 54 (25%) | |
| VATS | 13 (6%) | |
| RATS | 21 (9%) | |
| Histology | Thymoma | 163 (74%) |
| Carcinoma | 47 (21%) | |
| Neuroendocrine | 10 (5%) | |
| T Descriptor | 1 | 113 (51%) |
| 2 | 44 (20%) | |
| 3 | 43 (20%) | |
| 4 | 20 (9%) | |
| N descriptor | 0 | 201 (91%) |
| 1 | 14 (6%) | |
| 2 | 5 (2%) | |
| TNM stage | I | 113 (51%) |
| II | 43 (20%) | |
| III | 35 (16%) | |
| IV | 29 (13%) | |
| WHO | A | 26 (12%) |
| AB | 55 (25%) | |
| B1 | 46 (21%) | |
| B2 | 26 (12%) | |
| B3 | 10 (4%) | |
| C | 57 (26%) | |
| Masaoka-Koga | 1 | 112 (51%) |
| 2 | 47 (22%) | |
| 3 | 32 (14%) | |
| 4 | 29 (13%) |
Multimodality treatments in thymic epithelial tumor patients. Column percentages are also provided. Note that several patients received both chemotherapy (CTX) and radiotherapy (RTX) in neoadjuvant and/or adjuvant settings.
| Total (n = 220) | Thymoma (n = 163) | Carcinoma (n = 47) | Neuroendocrine (n = 10) | |
|---|---|---|---|---|
| Neoadjuvant CTX | 20 (9%) | 7 (4%) | 13 (28%) | 0 |
| Neoadjuvant RTX | 5 (2%) | 1 (1%) | 4 (9%) | 0 |
| Adjuvant CTX | 34 (15%) | 10 (6%) | 20 (43%) | 4 (40%) |
| Adjuvant RTX | 75 (34%) | 39 (24%) | 33 (70%) | 3 (30%) |
FIGURE 1Age distribution in thymic epithelial tumors. Neuroendocrine tumor patients were significantly younger than carcinoma and thymoma patients.
Preoperative circulating biomarker levels for thymic epithelial tumors.
| Total (n = 220) | Thymoma (n = 163) | Carcinoma (n = 47) | Neuroendocrine (n = 10) |
| ||
|---|---|---|---|---|---|---|
| Gender | Male | 124 (56%) | 90 (55%) | 27 (57%) | 7 (70%) | 0.649 |
| Female | 96 (44%) | 73 (45%) | 20 (43%) | 3 (30%) | ||
| Age | Mean ± SD | 59.4 ± 13.4 | 59.6 ± 13.3 | 60.5 ± 11.4 | 50.1 ± 19.6 | 0.153 |
| MG | Yes | 33 (15%) | 29 (18%) | 4 (9%) | 0 (0%) | 0.116 |
| No | 187 (85%) | 134 (82%) | 43 (91%) | 10 (100%) | ||
| WBC (109/L) | Mean ± SD | 7.8 ± 13.4 | 8.0 ± 2.7 | 7.2 ± 3.1 | 6.6 ± 2.9 |
|
| CR | <1 mg/dl | 174 (84%) | 138 (89%) | 31 (70%) | 5 (56%) |
|
| >1 mg/dl | 34 (16%) | 17 (11%) | 13 (30%) | 4 (44%) | ||
| LDH | Mean ± SD | 224 ± 80 | 218 ± 57 | 219 ± 88 | 337 ± 200 |
|
MG–myasthenia gravis; WBC–white blood cell count; CRP–C-reactive protein, LDH–lactate dehydrogenase; SD–standard deviation; NA–not available.
FIGURE 2Preoperative circulating biomarkers in thymectomy patients. (A) There was a significant difference in white blood cell counts between the three groups (p = 0.0219) and counts were significantly lower in carcinoma than in thymoma (p = 0.0211) (B) In thymoma patients, there was a significant difference in WBC counts with or without myasthenia gravis (MG). (C) Patients with neoadjuvant chemotherapy had a significantly lower WBC count at the time of operation.
FIGURE 3LDH levels in thymectomy patients. (A) There was a significant difference in LDH levels between the three histologies (p = 0.002). Mean LDH level was higher in neuroendocrine tumor patients when compared to thymoma or thymic cancer patients. (B) Among thymoma patients, Masaoka-Koga 3 and 4 cases had a significantly higher LDH level at the time of thymectomy than Masaoka-Koga 1–2 cases (p = 0.011).
FIGURE 4Disease specific survival following thymectomy. (A) There was a significant difference in survival between the three histological groups (p = 0.041, Mantel-Cox) and patients with thymoma had a longer survival. (B) Thymic carcinoma or neuroendocrine tumor patients with white blood cell count above 7 × 109/L had an increased median disease specific survival (p = 0.022, Mantel-Cox). (C) CRP had no prognostic impact in thymic carcinoma and neuroendocrine tumors. (D) Thymic carcinoma or neuroendocrine tumor patients with increased LDH had a shorter median disease specific survival (Mantel-Cox p = 0.093 and Gehan-Breslow-Wilcoxon p = 0.0185).
Univariate Cox regression analysis of the impact of circulating biomarkers on disease specific survival in the combined thymic carcinoma and neuroendocrine tumor cohort.
| Carcinoma and neuroendocrine tumors | Carcinoma | ||||||
|---|---|---|---|---|---|---|---|
| HR | 95% CI |
| HR | 95% CI |
| ||
| CRP | >1 mg/dl | 1 | 0.47–5.21 | 0.471 | 1 | 0.43–7.04 | 0.433 |
| <1 mg/dl | 1.56 | 1.74 | |||||
| WBC | >7 × 109/L | 1 | 1.19–15.63 |
| 1 | 1.10–23.81 |
|
| <7 × 109/L | 4.33 | 5.21 | |||||
| LDH | <240 U/L | 1 | 0.85–6.26 | 0.102 | 1 | 0.91–11.63 | 0.071 |
| >240 U/L | 2.30 | 3.24 | |||||
HR–hazard ratio; CI–confidence interval;
p = 0.0185 with Gehan-Breslow-Wilcoxon test.
p = 0.0299 with Gehan-Breslow-Wilcoxon test.