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E-Poster Display

1384P - Prognostic factors for survival in patients with metastatic lung adenocarcinoma: Analysis of the SEER database

Date

17 Sep 2020

Session

E-Poster Display

Topics

Tumour Site

Non-Small Cell Lung Cancer

Presenters

Begona Campos Balea

Citation

Annals of Oncology (2020) 31 (suppl_4): S754-S840. 10.1016/annonc/annonc283

Authors

B. Campos Balea1, J. de Castro Carpeño2, B. Massuti3, D. Vicente-Baz4, D. Pérez Parente5, P. Ruiz Gracia6, M. Cobo Dols7

Author affiliations

  • 1 Oncology, Hospital Universitario Lucus Augusti (HULA), 27003 - Lugo/ES
  • 2 Oncology, Hospital Universitario La Paz, 28046 - Madrid/ES
  • 3 Oncology, Hospital Universitario Alicante (ISABIAL), 03010 - Alicante/ES
  • 4 Oncology, Hospital Universitario Virgen Macarena, 41009 - Sevilla/ES
  • 5 Oncology, Roche Farma S.A., 28042 - Madrid/ES
  • 6 Medical Dept., Roche Farma S.A., 28042 - Madrid/ES
  • 7 Medical Oncology Department, Biomedical Research Institute of Malaga (IBIMA), 29010 - Málaga/ES

Resources

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Abstract 1384P

Background

Lung cancer is the leading cause of cancer death, accounting for about one-fifth of all cancer deaths. Lung cancer is broadly split into non-small cell lung cancer (NSCLC) (about 80%-85% of cases) and small cell lung cancer (SCLC). Survival is affected by different disease factors, most of which are described in clinical trials. Our objective was to identify poor prognostic factors for survival in patients with stage IV lung adenocarcinoma in real clinical practice.

Methods

We used the SEER database, selecting all patients with stage IV lung adenocarcinoma diagnosed between 2010-15, to describe median overall survival (mOS). Chi-squared bivariate analysis was used for the association of binary qualitative variables, and the ANOVA test was used to compare two or more variables. A multivariate Cox regression analysis was performed to determine the impact of these prognostic factors on OS.

Results

A total of 46,030 patients were included: 51.3% men, 54.8% ≥65 years old (mean 67.03); 68.5% Caucasian; 44.7% lived alone. At diagnosis, metastases were found in bone (39.8%), brain (27.8%), liver (16.4%), and lung (30.3%). In total, 46.51% of patients had only one metastatic site, 29.76% had ≥2, and 21.9% had more metastatic sites. In the overall population, mOS was 6 (95%CI: 5.90–6.09) months (men: 5 mo; women: 7 mo, p < 0.001). Among patients with only one site of metastasis, liver metastases had the worst mOS (5 mo; 95%CI: 4.47–5.52), followed by bone metastases (7 mo, 95%CI: 6.73–7.27), brain metastases (7 mo, 95%CI: 6.70–7.30), and lung metastases (9 mo; 95%CI: 8.55–9.44). Patients with two or more sites of metastases showed the worst mOS (≤4 mo) only if liver metastases were present. Among patients with liver metastases, 78.3% had at least one other involved site (bone: 76.4%; Lung: 47.1%; and brain: 37.2%). Multivariate analysis showed that OS was mostly affected by liver metastases (HR=1.447, p < 0.001), age ≥65 years (HR=1.366, p < 0.001), and bone metastases (HR=1.207, p < 0.001).

Conclusions

Liver metastases were identified as the worst prognostic factor in patients with metastatic lung adenocarcinoma. Thus, their presence should be taken into account in future studies evaluating new cancer treatments, such as immunotherapy.

Clinical trial identification

Editorial acknowledgement

The authors thank Blanca Piedrafita, Ph. D. and Alfonsina Trento, Ph.D., medical writers at Medical Statistics Consulting S.L. (Valencia, Spain), for their collaboration in the edition of this abstract.

Legal entity responsible for the study

Roche Farma.

Funding

Roche Farma.

Disclosure

B. Campos Balea: Advisory/Consultancy: Boehringer; Travel/Accommodation/Expenses: Boehringer Ingelheim; Advisory/Consultancy: Sanofi; Speaker Bureau/Expert testimony: Roche; Travel/Accommodation/Expenses: Roche; Speaker Bureau/Expert testimony: Merck; Speaker Bureau/Expert testimony: BMS; Speaker Bureau/Expert testimony: AstraZeneca; Travel/Accommodation/Expenses: Lilly. J. de Castro Carpeño: Advisory/Consultancy: Roche; Speaker Bureau/Expert testimony: Roche; Travel/Accommodation/Expenses: Roche; Advisory/Consultancy: Merck; Advisory/Consultancy: Merck; Travel/Accommodation/Expenses: Merck; Advisory/Consultancy: BMS; Travel/Accommodation/Expenses: BMS; Advisory/Consultancy: AstraZeneca; Speaker Bureau/Expert testimony: AstraZeneca; Travel/Accommodation/Expenses: AstraZeneca; Advisory/Consultancy: Pfizer; Advisory/Consultancy: PharmaMar; Advisory/Consultancy: Boehringer Ingelheim; Speaker Bureau/Expert testimony: Boehringer Ingelheim; Advisory/Consultancy, Speaker Bureau/Expert testimony: Takeda; Advisory/Consultancy: Tesaro. B. Massuti: Advisory/Consultancy, Speaker Bureau/Expert testimony: Roche; Advisory/Consultancy, Speaker Bureau/Expert testimony: Merck; Advisory/Consultancy: AstraZeneca; Advisory/Consultancy, Speaker Bureau/Expert testimony: Boehringer Ingelheim; Advisory/Consultancy: Takeda; Speaker Bureau/Expert testimony: BMS; Speaker Bureau/Expert testimony: Pfizer. D. Vicente-Baz: Advisory/Consultancy, Speaker Bureau/Expert testimony: Roche; Advisory/Consultancy, Speaker Bureau/Expert testimony: Merck; Advisory/Consultancy, Speaker Bureau/Expert testimony: BMS; Advisory/Consultancy, Speaker Bureau/Expert testimony: AstraZeneca; Advisory/Consultancy, Speaker Bureau/Expert testimony: Pfizer; Advisory/Consultancy, Speaker Bureau/Expert testimony: Boehringer; Advisory/Consultancy: Takeda. D. Pérez Parente, P. Ruiz Gracia: Full/Part-time employment: Roche. M. Cobo Dols: Advisory/Consultancy, Speaker Bureau/Expert testimony: Roche; Advisory/Consultancy, Speaker Bureau/Expert testimony: BMS; Advisory/Consultancy, Speaker Bureau/Expert testimony: AstraZeneca; Advisory/Consultancy: Pfizer; Advisory/Consultancy: Boehringer Ingelheim.

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