| Literature DB >> 23591202 |
A Carus1, M Ladekarl, H Hager, B S Nedergaard, F Donskov.
Abstract
BACKGROUND: The prognostic impact of tumour-promoting immune cells in cervical cancer is unclear.Entities:
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Year: 2013 PMID: 23591202 PMCID: PMC3670536 DOI: 10.1038/bjc.2013.167
Source DB: PubMed Journal: Br J Cancer ISSN: 0007-0920 Impact factor: 7.640
Patient characteristics (N=101)
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| Number of patients | 70 (69%) | 31 (31%) |
| Age at diagnosis (range), years | 45 (26–68) | 41 (22–70) |
| Stage IB | 63 (90%) | 28 (91%) |
| Stage IIA | 7 (10%) | 3 (9%) |
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| No | 62 (89%) | 21 (68%) |
| Yes | 8 (11%) | 10 (32%) |
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| Surgery | 61 (87%) | 26 (85%) |
| + Adjuvant radiotherapy | 13 (21%) | 10 (38%) |
| Radiotherapy | 9 (13%) | 5 (15%) |
Figure 1( An unbiased counting frame is applied. (B) CD163+ immunostaining (20x lens) illustrating tumour nest macrophage (black fat arrow) and peritumoural macrophages (white fat arrow). A counting grid is applied.
Figure 2Kaplan–Meier RFS curves according to peritumoural CD66b P-values obtained from log-rank tests.
Percentage of patients with recurrence within 5 years from diagnosis of cervical cancer stratified by quartiles of CD66b+ neutrophil count and CD163+ macrophage cell density
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| I | 0–8.5 | 28 |
| II | 8.6–23.1 | 20 |
| III | 23.2–68.9 | 31 |
| IV | 69.0–939.3 | 44 |
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| I | 2–18.1 | 24 |
| II | 18.2–53.1 | 16 |
| III | 53.2–125.2 | 35 |
| IV | 125.3–677.1 | 48 |
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| I | 0–8.5 | 16 |
| II | 8.6–28.3 | 24 |
| III | 28.4–66.8 | 27 |
| IV | 66.7–780 | 56 |
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| I | 0–0.021 | 21 |
| II | 0.022–0.18 | 29 |
| III | 0.22–0.99 | 23 |
| IV | 1.0–12 | 52 |
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| I | 0–0.46 | 20 |
| II | 0.47–1.27 | 24 |
| III | 1.28–3.0 | 39 |
| IV | 3.1–16.6 | 40 |
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| I | 0–0.26 | 20 |
| II | 0.27–0.73 | 32 |
| III | 0.74–2.1 | 23 |
| IV | 2.2–9.4 | 48 |
Multivariate analysis with RFS as end point (N=101)
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| High CD66b+ neutrophils peritumoural | > | 2.27 | 1.09–4.75 | 0.03 |
| Low CD8+ lymphocytes peritumoural | ⩽ | 3.67 | 1.63–8.25 | 0.002 |
| Lymph node metastases | Yes | 2.70 | 1.26–5.76 | 0.01 |
Abbreviations: CI=confidence interval; HR=hazard ratio; RFS=recurrence-free survival.
Cox regression analysis.
Figure 3Kaplan–Meier recurrence-free survival curves according to the TA-NLR stratified at quartiles from lower quartile I to highest quartile IV. P-value obtained from log-rank test.