| Literature DB >> 25889870 |
Daniel Misch1, Torsten Blum2, Christian Boch3, Timo Weiss4, Catharina Crolow5, Sergej Griff6, Thomas Mairinger7, Torsten T Bauer8, Jens Kollmeier9.
Abstract
BACKGROUND: The aim of this study was to analyze the frequency of Thyroid Transcription Factor (TTF)-1 expression in small cell lung cancer (SCLC) and its value for the diagnosis of SCLC, the response to first line treatment as well as the prognostic impact on overall survival (OS).Entities:
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Year: 2015 PMID: 25889870 PMCID: PMC4391673 DOI: 10.1186/s13000-015-0250-z
Source DB: PubMed Journal: Diagn Pathol ISSN: 1746-1596 Impact factor: 2.644
Figure 1Example of TTF-1 negative small cell lung cancer (SCLC) staining. Left upper panel: Hematoxylin and eosin stain (HE). Right upper panel: Neural cell adhesion molecule (CD56). Left lower panel: Ki-67 Proliferation marker (Clone MIB-1). Right lower panel: Thyroid transcription factor-1 (TTF-1).
Figure 2Example of TTF-1 positive small cell lung cancer (SCLC) staining. The tumor was identified as TTF-1 positive when more than 5% of cells stained for TTF-1. Left upper panel: Hematoxylin and eosin stain (HE). Right upper panel: Neural cell adhesion molecule (CD56). Left lower panel: Ki-67 Proliferation marker (Clone MIB-1). Right lower panel: Thyroid transcription factor-1 (TTF-1).
Patient characteristics
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| 221 | 183/221 (82.8%) | 38/221 (17.2%) | |
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| 64.7 ± 10.2 | 64.0 ± 10.2 | 68.1 ± 9.6 |
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| 76/221 (34.4) | 63/183 (34.4%) | 13/38 (34.2%) | 1.000** |
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| 145/221 (66.6) | 120/183 (65.6%) | 25/38 (65.8%) | |
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| 21/221 (9.5) | 16/183 (8.7%) | 5/38 (13.2%) | |
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| 64/221 (29.0) | 56/183 (30.6%) | 8/38 (21.0%) | |
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| 136/221 (61.5) | 111/183 (60.7%) | 25/38 (65.8%) | 0.412** |
Overview of the proportion of patients with TTF1-positive and TTF1-negative SCLC in the entire patient population and in the different stage groups.
*Student’s T-Test.
**Chi-Square Test.
Overall survival (OS) in days according to TTF1 in the entire population and in the subgroups of patients with stage IIIA, IIIB and IV disease
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| 374 (306–441) | 290 (191–389) | 0.254 |
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| 533 (361–704) | 488 (172–803) | 0.852 |
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| 512 (413–610) | 282 (87–477) | 0.506 |
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| 302 (253–351) | 227 (58–396) | 0.273 |
*log-rank analyses.
Figure 3Survival Analysis and sub-analysis for disease stage according to TTF-1 (Kaplan-Meier plots with log-rank analysis; PP = per protocol, ITT = intention to treat). Left upper panel: ITT (n = 294) vs. PP population (n = 221; p = 0.331). Right upper panel: PP population: TTF-1 positive (n = 183) vs. TTF-1 negative patients (n = 38; p = 0.516). Left lower panel: PP sub-population with non-metastatic disease (n = 85): TTF-1 positive (n = 72) vs. TTF-1 negative patients (n = 13; p = 0.990). Right lower panel: PP sub-population with metastatic disease (n = 136): TTF-1 positive (n =111) vs. TTF-1 negative patients (n = 25; p = 0.313).
Response to treatment according to TTF1-expression (n = 178)
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| 8 (5.3%) | 4 (14.3%) | |
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| 105 (70.0%) | 16 (57.1%) | |
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| 22 (14.7%) | 0 | |
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| 15 (10.0%) | 8 (28.6%) |
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| 75.3% | 71.4% | 0.642 |
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| 135 (90.0%) | 20 (71.4%) |
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| 56/58 (96.6%) | 10/10 (100%) | 0.726 |
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| 79/92 (85.9%) | 10/18 (55.6%) |
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Overall response rate (RR) is defined as the proportion of patients having at least a partial response according to RECIST1.0. Disease control rate (DCR) is defined as all patients with at least a stable disease according to RECIST1.0. (CR = complete response; PR = partial response; SD = stable disease; PD = progressive disease).