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Poster display session: Biomarkers, Gynaecological cancers, Haematological malignancies, Immunotherapy of cancer, New diagnostic tools, NSCLC - early stage, locally advanced & metastatic, SCLC, Thoracic malignancies, Translational research

5189 - Vall d’Hebron Institute of Oncology (VHIO) Immuno-Oncology prognostic index (VIO): a new tool for improved patient (pt) selection in Phase 1 (Ph1) trials with Immune Checkpoint Inhibitors (ICI).

Date

20 Oct 2018

Session

Poster display session: Biomarkers, Gynaecological cancers, Haematological malignancies, Immunotherapy of cancer, New diagnostic tools, NSCLC - early stage, locally advanced & metastatic, SCLC, Thoracic malignancies, Translational research

Presenters

Cinta Hierro

Citation

Annals of Oncology (2018) 29 (suppl_8): viii14-viii57. 10.1093/annonc/mdy269

Authors

C. Hierro1, I. Matos1, J. Martin-Liberal1, M. Ochoa De Olza Amat1, E. Felip2, M. Costa Rivas3, M. Vieito Villar1, I. Brana1, A. Azaro1, M.C. Perez-Gago1, A. Gros4, J. Carles1, A. Oaknin1, T. Macarulla1, C. Saura1, N. pardo1, E. Muñoz-Couselo1, J. Tabernero1, R. Dienstmann5, E. Garralda1

Author affiliations

  • 1 Medical Oncology, Vall d’Hebron University Hospital; Vall d’Hebron Institute of Oncology (VHIO), 08035 - Barcelona/ES
  • 2 Medical Oncology Department, Germans Trias i Pujol Hospital, Catalan Institute of Oncology (ICO)-Badalona, 608015 - Badalona/ES
  • 3 Oncology, Complexo Hospitalario Universitario de Vigo, 36312 - Vigo/ES
  • 4 Tumor Immunology And Immunotherapy, Vall d`Hebron Institute of Oncology (VHIO)-Cellex Center, 08035 - Barcelona/ES
  • 5 Oncology Data Science Group (odyssey), Vall d'Hebron Institute of Oncology (VHIO), 08035 - Barcelona/ES
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Resources

Abstract 5189

Background

The Royal Marsden Hospital score (RMHs) (albumin <35 g/L, lactate dehydrogenase [LDH]>upper limit of normal [ULN], and >two sites of metastases [met]) is a validated prognostic index for Ph1 pt selection. Recently, a lung immune prognostic index (LIPI) (derived neutrophil/(leukocytes minus neutrophils) ratio [dNLR]>3, and LDH>ULN) proved to be useful for identifying pts with different outcomes under ICI. We aimed to improve pt selection for ICI Ph1 trials by developing a composite VIO that included all clinical-laboratory (CL) variables linked with worse median Overall Survival (mOS).

Methods

Retrospective analysis of pts treated with ICI at VHIO Ph1 Unit from Jan’12 to Oct’17. VIO includes four CL factors previously described (albumin<35g/L, LDH>ULN, >two sites of met, dNLR>3) and a fifth variable (liver met) as per univariate Cox modeling. The following VIO clusters were defined based on Kaplan Meier OS estimates: low risk (0 and 1), intermediate risk (2 and 3) and high risk (4 and 5).

Results

In total, 174 out of 214 pts (81%) treated with ICI (antiPD1/PDL1 ICI in 93%, combination regimens in 53%) had complete CL data for modeling. Most common tumor types were melanoma (22%) and lung (14%). Overall, best response was PD 47%, SD 38%, PR 12%, CR 2% and mOS 9.8 (95% CI 7.3-12.7) months (m). Concordance index of OS models including LIPI, RMHs or VIO scores were 0.62, 0.66 and 0.69, respectively. Estimated mOS in low risk (40.2% of all pts), intermediate risk (50.3%) and high risk (9.2%) were 22.0 m (10.5.4-33.4), 6.7 m (4.1-9.3) and 3.8 m (2.5-5.1), respectively (log rank test, p < 0.001). PD as best response was higher in high risk VIO group (81%) as compared to intermediate (50%) and low risk (34%, Chi-square p = 0.002). 6m OS rates were 85% (77%-94%), 55% (44%-67%) and 30% (14%-65%) in low, intermediate and high risk VIO groups (log rank test, p < 0.001).

Conclusions

Our results suggest that the VIO is a better predictor of OS on ICI in Ph1 trials as compared to existing prognostic scores. The VIO is a helpful tool for identifying Ph1 candidates unlikely to benefit from ICI and with higher chances of death within 6 m of trial recruitment.

Clinical trial identification

Legal entity responsible for the study

VHIO.

Funding

Has not received any funding.

Editorial Acknowledgement

Disclosure

A. Oaknin: Advisory boards: Roche, AstraZeneca, PharmaMar, Clovis Oncology, Tesaro; Travel or accommodation support: Roche, AstraZeneca, PharmaMar. J. Tabernero: Advisory Boards: Bayer, Boehringer Ingelheim, Genentech/Roche, Lilly, MSD, Merck Serono, Merrimack, Novartis, Peptomyc, Roche, Sanofi, Symphogen, Taiho. All other authors have declared no conflicts of interest.

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