| 3. |
- Holgersson, Georg, et al.
(författare)
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Swedish Lung Cancer Radiation Study Group: Predictive value of histology for radiotherapy response in patients with non-small cell lung cancer
- 2011
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Ingår i: European Journal of Cancer. - : Elsevier BV. - 1879-0852 .- 0959-8049. ; 47:16, s. 2415-2421
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Tidskriftsartikel (refereegranskat)abstract
- The aim of the present study was to evaluate the potential predictive value of histology in non-small cell lung cancer (NSCLC) treated with curatively intended radiotherapy. In a collaborative effort among all the Swedish Oncology Departments, clinical data were collected for 1146 patients with a diagnosed non-small cell lung cancer subjected to curatively intended irradiation (>= 50 Gy) during the years 1990 to 2000. The included patients were identified based on a manual search of all medical and radiation charts at the oncology departments from which the individual patient data were collected. Only patients who did not have a histological diagnosis date and death date/last follow-up date were excluded (n = 141). Among the 1146 patients with non-small cell carcinoma eligible for analysis, 919 were diagnosed with either adenocarcinoma (n = 323) or squamous cell carcinoma (n = 596) and included in this study. The median survival for the 919 patients was 14.8 months, while the 5-year survival rate was 9.5%. Patients with adenocarcinoma had a significantly better overall survival compared with patients with squamous cell carcinoma (p = 0.0062, log-rank test). When comparing different stages, this survival benefit was most pronounced for stages IIA-IIB (p<0.0001, log-rank test). The difference in survival between the two histological groups was statistically significant in a univariate Cox analysis (p = 0.0063) as well as in two multivariate Cox analyses including demographic and treatment variables (p = 0.037 and p = 0.048, respectively). In this large population based retrospective study we describe for the first time that patients with adenocarcinoma have a better survival after curatively intended radiation therapy in comparison with squamous cell carcinoma patients, particularly those with clinical stages IIA-IIB. (C) 2011 Elsevier Ltd. All rights reserved.
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| 4. |
- Holgersson, Georg, et al.
(författare)
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Swedish lung cancer radiation study group: the prognostic value of anaemia, thrombocytosis and leukocytosis at time of diagnosis in patients with non-small cell lung cancer
- 2012
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Ingår i: Medical Oncology. - : Humana Press (Springer Imprint). - 1357-0560 .- 1559-131X. ; 29:5, s. 3176-3182
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Tidskriftsartikel (refereegranskat)abstract
- There is a need to improve the prognostic and predictive indicators in non-small cell lung cancer (NSCLC). At present, the main focus is on genetic predictive markers while the prognostic value of the standard blood variables related to haematopoiesis has been subjected to relatively limited attention. To study the prognostic potential of haemoglobin (Hgb), platelet (Plt) and white blood cell (WBC) levels at time of diagnosis in NSCLC patients, 835 NSCLC patients, stage I-IV, who received radiotherapy with curative intention (andgt; 50 Gy), were included in the study. WBC, Plt, Hgb, gender, age at diagnosis, stage, surgery and first-line chemotherapy were studied in relation to overall survival. For patients with Hgb andlt; 110 g/L and Hgb a parts per thousand yen 110 g/L), the median survival was 11.2 and 14.5 months, respectively (p = 0.0032). For WBC andgt; 9.0 x 10(9)/L and andlt; 9.0 x 10(9)/L, the median survival was 11.6 and 15.4 months, respectively (p andlt; 0.0001). For Plt andgt; 350 x 10(9)/L and andlt; 350 x 10(9)/L, the median survival was 11.2 and 14.9 months, respectively (p andlt; 0.0001). The median survival in patients with pathological results in all three markers was half of that in patients with normal levels of all three markers (8.0 and 16.0 months, respectively (p andlt; 0.0001). The level of the three studied haematological biomarkers corresponds significantly to outcome in NSCLC. These results indicate that standard haematological variables may be used as guidance for the clinician in the decision-making regarding treatment intensity and patient information.
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