Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster Discussion session - CNS tumours

4497 - Comprehensive Geriatric Assessment (CGA) for outcome prediction in elderly patients (PTS) with glioblastoma (GBM): a mono-institutional experience

Date

20 Oct 2018

Session

Poster Discussion session - CNS tumours

Presenters

Giuseppe Lombardi

Citation

Annals of Oncology (2018) 29 (suppl_8): viii122-viii132. 10.1093/annonc/mdy273

Authors

G. Lombardi1, E. Bergo1, L. Bellu2, M. Caccese3, A. Lettiero4, G. Tierno4, A. Pambuku4, A. Brunello4, V. Zagonel4

Author affiliations

  • 1 Medical Oncology 1, Veneto Institute of Oncology IOV – IRCCS, 35128 - Padua/IT
  • 2 Radiotherapy, Veneto Institute of Oncology IOV – IRCCS, Padua/IT
  • 3 Medical Oncology, University of Verona, AOUI Verona, 37134 - Verona/IT
  • 4 Medical Oncology 1, Veneto Institute of Oncology IOV – IRCCS, Padua/IT
More

Resources

Login to access the resources on OncologyPRO.

If you do not have an ESMO account, please create one for free.

Abstract 4497

Background

Treatment for GBM elderly PTS is still a challenge in neuro-oncology. Clinical tools, including CGA, are needed for improving treatment decision and outcome. To date, few studies exploring the impact of CGA on outcome have been performed in these PTS. The aim of this study was to evaluate CGA as a prognostic tool in terms of PFS and OS in elderly GBM PTS.

Methods

We performed a retrospective analysis of elderly PTS ≥ 65 years, treated at Veneto Institute of Oncology between January 2011 and January 2018, with newly histologically diagnosed GBM and receiving a baseline CGA after 3-4 weeks from surgery. CGA included the following domains: age, activities and instrumental activities of daily living (ADL, IADL), cognitive status (MMSE), mood (GDS), nutritional status (MNA), number of drugs, comorbidity (cumulative Illness Rating Scale-CIRS), presence of geriatric syndromes, presence of caregiver. PTS were classified according to Balducci’s criteria into Fit or Unfit (Frail and Vulnerable).

Results

113 PTS were enrolled: 72 (64%) were male, KPS were ≥ 70 in 90 PTS (80%); 37 PTS (33%) had a radical surgery, 63% partial surgery and 4% received a biopsy. 90 PTS (80%) received Stupp treatment, 16 (14%) temozolomide or radiotherapy alone and, only 7 (6%) received no treatment. MGMT methylation status was analyzed in 96 PTS: 44% were metMGMT. According to CGA evaluation: 40 PTS (35.4%) were classified as Fit and 73 PTS (64.6%) Unfit. PFS was 11.2 (95% CI 6.0-16.4) and 7.2 (95% CI 5.8-8.6) months for Fit and Unfit PTS (p = 0.1). On multivariate analysis, adjusted for type of surgery, MGMT methylation status and type of therapy, PFS was significantly different between the two groups (HR = 0.6, 95% CI 0.2-0.9; p = 0.04). OS was 16.4 (95% CI 14.6-18.2) and 10.6 (95% CI 8.3-12.8) ms for Fit and Unfit PTS (p = 0.04); on multivariate analysis the HR was 0.51 (95% CI 0.2-0.9; p = 0.04).

Conclusions

CGA demonstrated significant outcome prediction in terms of OS and PFS, regardless of therapy. It could be a useful treatment decision-tool suggesting to treat FIT PTS with radiochemotherapy while a prospective study to evaluate the best treatment in Unfit PTS should be warrant.

Clinical trial identification

Legal entity responsible for the study

Veneto Institute of Oncology IOV - IRCCS, Padua, Italy.

Funding

Has not received any funding.

Editorial Acknowledgement

Disclosure

All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings