| Literature DB >> 28196505 |
Le Xiong1, Ling-Min Liao2, Jian-Wu Ding1, Zhi-Lin Zhang3, An-Wen Liu4, Long Huang5.
Abstract
BACKGROUND: Due to the uncommon nature of primary spinal epidural lymphomas (PSELs), there has been little research looking at prognostic indicators for the tumor. To our knowledge, this is the largest study to evaluate possible clinical and pathologic prognostic factors in PSEL patients.Entities:
Keywords: Primary spinal epidural lymphomas; Prognosis; Treatment
Mesh:
Year: 2017 PMID: 28196505 PMCID: PMC5309972 DOI: 10.1186/s12885-017-3093-z
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Analysis of clinicopathological factors for chinese patients and report cases
| Characteristics | Chinese patients | Report cases |
|
|---|---|---|---|
|
|
| ||
| Median age (year) | 26 | 48 | / |
| Median survival (month) | 12 | 27 | / |
| Gender | |||
| Male | 26 (74.3) | 50 (60.0) | |
| Female | 9 (25.7) | 34 (40.0) | 0.640 |
| Pathology | |||
| B cell lymphoma | 25 (78.1) | 69 (74.2) | |
| T cell lymphoma | 6 (18.8) | 7 (7.5) | |
| Burkitt’s lymphoma | 1 (3.1) | 17 (18.3) |
|
| Stage | |||
| I | 13 (76.5) | 44 (81.5) | |
| II-IV | 4 (23.5) | 10 (18.5) | 0.651 |
| Range | |||
| 1–2 spine | 8 (22.9) | 25 (50.0) | |
| 3–4 spine | 21 (60.0) | 14 (28.0) | |
| ≥ 5 spine | 6 (17.1) | 11 (22.0) |
|
| S + RT + CT | |||
| Yes | 5 (14.3) | 45 (48.9) | |
| No | 30 (85.7) | 47 (51.1) |
|
| S + CT | |||
| Yes | 17 (56.7) | 57 (62.0) | |
| No | 18 (43.3) | 35 (38.0) | 0.172 |
| S | |||
| Yes | 33 (94.3) | 85 (92.4) | |
| No | 2 (5.7) | 7 (7.6) | 0.710 |
| S only | |||
| Yes | 15 (42.9) | 3 (3.3) | |
| No | 20 (57.1) | 89 (96.7) |
|
S surgery, CT chemotherapy, RT radiotherapy, Bold indicates significant values
The 3-year' OS and DFS rates associated with primary spinal epidural lymphomas patients
| Characteristics | Case ( | 3 year's | 3 year's | ||
|---|---|---|---|---|---|
| DFS(%) | P | OS | P | ||
| Age (year) | |||||
| < 45 | 64 | 54.8 | 70.5 | ||
| ≥ 45 | 64 | 41.8 | 0.413 | 90.9 | 0.181 |
| Gender | |||||
| Male | 76 | 47.7 | 60.3 | ||
| Female | 44 | 47.7 | 0.608 | 100.0 |
|
| Pathology | |||||
| B cell lymphoma | 88 | 47.6 | 87.7 | ||
| T cell lymphoma | 13 | 53.6 | 83.3 | ||
| Burkitt’s lymphoma | 15 | 25.0 | 0.081 | 29.5 |
|
| Differentiate | |||||
| Poor | 19 | 54.5 | 74.1 | ||
| Moderate | 12 | 50.5 | 68.2 | ||
| High | 8 | 60.0 | 0.309 | 100.0 |
|
| Stage | |||||
| I | 58 | 36.7 | 75.1 | ||
| II-IV | 14 | 77.4 | 0.084 | / | 0.198 |
| Location | |||||
| Cervical | 14 | 74.0 | 94.3 | ||
| Thoracic | 69 | 35.7 | 64.1 | ||
| Lumbosacral | 25 | 57.4 | 100.0 | ||
| Sacral | 3 | / | 0.089 | / |
|
| Range | |||||
| 1–2 spine | 17 | 36.4 | 86.2 | ||
| 3–4 spine | 33 | 46.7 | 81.9 | ||
| ≥ 5 spine | 18 | 41.2 | 0.698 | 74.4 |
|
| S + RT + CT | |||||
| Yes | 49 | 49.6 | 81.7 | ||
| No | 56 | 38.0 |
| 81.4 | 0.955 |
| S + CT | |||||
| Yes | 65 | 50.4 | 79.5 | ||
| No | 40 | 41.4 |
| 84.3 | 0.984 |
| S | |||||
| Yes | 96 | 46.8 | 80.0 | ||
| No | 9 | 47.6 | 0.994 | 100.0 | 0.592 |
| S only | |||||
| Yes | 5 | 23.3 | 80.0 | ||
| No | 100 | 75.6 |
| 81.6 | 0.437 |
S surgery, CT chemotherapy, RT radiotherapy, Bold indicates significant values
Fig. 1Kaplan–Meier survival curves for clinicopathologic factors of patients with primary spinal epidural lymphomas. a Survival curves for OS in relation to gender in primary spinal epidural lymphomas as indicated. b Survival curves for OS in relation to tumor location. c Survival curves for OS associated with different pathological factors as indicated. Favorable prognostic factors in primary spinal epidural lymphoma patients were female sex, B-cell lymphoma type, and cervical spine location
Fig. 2Kaplan–Meier survival curves analyze for DFS rates associated with surgery alone vs. others
Fig. 3Kaplan–Meier survival curves analyze for DFS rates associated with surgery followed by chemotherapy and radiotherapy vs. others
Fig. 4Kaplan–Meier survival curves analyze for DFS rates associated with surgery followed by chemotherapy vs. others
Fig. 5Kaplan–Meier survival curves analyze for OS rates associated with surgery alone vs. others
Fig. 6Kaplan–Meier survival curves analyze for OS rates associated with surgery followed by chemotherapy and radiotherapy vs. others
Fig. 7Kaplan–Meier survival curves analyze for OS rates associated with surgery followed by chemotherapy vs. others