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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

4529 - Previous immunotherapy treatments may improve tumor responses with subsequent chemotherapy regimens

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

Topics

Cytotoxic Therapy;  Immunotherapy

Tumour Site

Presenters

Iosune Baraibar Argota

Citation

Annals of Oncology (2018) 29 (suppl_8): viii400-viii441. 10.1093/annonc/mdy288

Authors

I. Baraibar Argota1, P. Martin-Romano2, M.F. Sanmamed1, M. Rodriguez-Ruiz1, J.L. Pérez-Gracia1, I. Gil-Bazo1, I. Melero3, L. Resano1, A. Chopitea Ortega1, J. Rodriguez1, J.M. Aramendia1, I. Gardeazabal1, L. Ceniceros1, P. Sala Elarre1, M. Ponz-Sarvisé1, E. Castanon Alvarez1

Author affiliations

  • 1 Department Of Oncology, Clinica Universidad de Navarra, 31008 - Pamplona/ES
  • 2 Drug Development, Institut Gustave Roussy, 94800 - Villejuif/FR
  • 3 Laboratory Of Immunology, Clinica Universitaria de Navarra, 31008 - Pamplona/ES

Resources

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Abstract 4529

Background

First line therapies usually induce the longest progression free survival (PFS) in advanced/metastatic cancer as compared to subsequent lines of treatment. However, immunotherapy (IT) due to its mechanisms of action could influence sensitivity to conventional cancer therapy (CCT) after progression to IT and thereby, influence both tumor growth rate (TGR) and progression free survival (PFS). We have studied TGR and PFS before and after participation in phase I IT trials.

Methods

We retrospectively studied 173 patients who were enrolled in Phase I IT trials at our institution between January 2012 and September 2017. Patients should have received at least one line of CCT before and after IT. Baseline characteristics (sex, age, tumor type, presence of liver disease, number of CCT lines prior to IT, type of CCT and IT) were recorded. PFS before and after IT was calculated. A ratio of PFS after/before IT (PFSaftIT /PFSbefIT) over 1.2 was considered clinically significant. TGR was calculated based on the formulas: TGR = 100 (exp(TG)−1), TG = 3 Log(Dt/D0)/t.

Results

37 patients met inclusion criteria. Baseline characteristics are shown in the table. Nine of 37 patients (6 CRC, 3 renal cancer) presented a PFSaftIT/PFSbefIT rate over 1.2. Regarding TGR, of 16 patients in whom TGRpre and TGRpost were available, 3 patients (2 CRC, 1 NSCLC) presented a decrease in TGR greater than 15% when given treatment after IT therapy.Table: 1228P

CharacteristicsN = 37
Female17
Median (M) age at diagnosis (range)55 (31-79)
M lines prior to IT (range)2 (1-5)
Primary tumor Gastrointestinal Genitourinary Gynecological NSCLC Head and neck Breast cancer19 7 5 4 1 1
Presence of liver disease (pre/IT/pro)15/18/31
CCT class (pre/post IT) Platinum derivatives Other alkylating agents (a) Antimetabolites a Anthracyclines Topoisomerase inhibitors (i) Antimicrotubules a Antiangiogenic a Signal transduction i Immunotherapy Others14/18 0/3 14/21 3/0 13/7 5/4 17/19 1/3 4/1 4/3
Combined/monotherapy during IT22/15

Conclusions

Our data suggest a better outcome on ensuing systemic therapies after IT. Further prospective investigations are needed to select the subset of patients who are more prone to a re-sensitization to CCT and to understand the mechanisms underlying.

Clinical trial identification

Legal entity responsible for the study

Clínica Universidad de Navarra.

Funding

Has not received any funding.

Editorial Acknowledgement

Disclosure

I. Melero: Advisory: BMS, Roche, AstraZeneca, Genmab, Alligator, Tusk, Bioncotech, Merck/Serono. All other authors have declared no conflicts of interest.

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