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E-Poster Display

1370P - PD-L1 expression as a predictive biomarker for chemotherapy response in metastatic non-small cell lung cancer (mNSCLC)

Date

17 Sep 2020

Session

E-Poster Display

Topics

Cytotoxic Therapy

Tumour Site

Non-Small Cell Lung Cancer

Presenters

Rachel Woodford

Citation

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

Authors

R. Woodford1, C.K. Lee2, W. Cooper3, C. Lewis4, T. John5, S. Lord6, I. Marschner7, D. Zhou2, J.C. Yang8

Author affiliations

  • 1 Medical Oncology, The Wollongong Hospital, 2500 - Wollongong/AU
  • 2 Cancer Care Centre, St George Public Hospital, 2217 - Sydney/AU
  • 3 Tissue Pathology And Diagnostic Oncology, Royal Prince Alfred Hospital, 2050 - Camperdown/AU
  • 4 Medical Oncology, Prince of Wales Hospital, 2031 - Sydney/AU
  • 5 Medical Oncology Department, Peter MacCallum Cancer Centre, 3000 - Melbourne/AU
  • 6 Nhmrc Clinical Trials Centre, NHMRC Clinical Trials Centre, 2040 - Sydney/AU
  • 7 Biostatistics, NHMRC Clinical Trials Centre, 2050 - Camperdown/AU
  • 8 Department Of Oncology, National Taiwan University Hospital, 100 - Taipei city/TW

Resources

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Abstract 1370P

Background

In mNSCLC, PD-L1 expression is a biomarker for survival benefit with immune checkpoint inhibitor-based regimens (ICI). However, there are conflicting reports for its predictive value for chemotherapy alone which remains a treatment backbone in mNSCLC. We performed a meta-analysis to determine the role of PD-L1 expression in predicting response with platinum doublet chemotherapy.

Methods

We performed an electronic search to identify any first-line randomized trials that compared ICI, either as monotherapy or chemoimmunotherapy, against platinum-doublet chemotherapy. We extracted only data from the control chemotherapy arm. We performed pairwise comparisons of objective response rate (ORR) and 12-month progression-free survival rate (PFS12) according to PD-L1 expression. Data was pooled across trials using the inverse variance approach.

Results

Twelve trials were identified, involving 4031 patients with EGFR/ALK wild type tumors. The majority were males (N=2710, 67%), current/ex-smoker (N=3476, 86%), performance status 1 (N=2382, 59%), and had non-squamous histology (N=2712, 67%). Chemotherapy consisted of a cisplatin/carboplatin backbone with pemetrexed/gemcitabine/nab-paclitaxel. One trial included bevacizumab (N=400, 10%). PD-L1 expression status was available in 3717 (92%) patients of which 970 (26%) were PD-L1 negative (<1%), 1513 (41%) were PD-L1 low (1-49%), and 1234 (33%) were PDL1 high (≥50%). In pairwise comparisons, ORRs for PD-L1 high and low were 33.8% and 30.4% (risk difference [RD]=5%, P=0.01), PD-L1 high and negative were 35.6% and 32.0% (RD=7%, P=0.01), and PD-L1 low and negative were 34.5% and 32.0% (RD=4%, P=0.13), respectively. PFS12 rate was not significantly different across different PD-L1 subgroups.

Conclusions

High PD-L1 expression is associated with improved ORR with platinum doublet chemotherapy in mNSCLC. Our data suggests that this patient population is distinct, and high responses might reflect an adaptive tumor response to host immune pressure during chemotherapy. Further research is required to improve outcomes for low/negative PD-L1 tumors.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

C.K. Lee: Honoraria (self), Advisory/Consultancy, Research grant/Funding (institution), Travel/Accommodation/Expenses: AstraZeneca; Honoraria (self), Advisory/Consultancy: Novartis; Honoraria (self), Advisory/Consultancy: Pfizer; Honoraria (self), Advisory/Consultancy: Roche; Honoraria (self), Advisory/Consultancy, Travel/Accommodation/Expenses: Boehringer Ingelheim; Honoraria (self), Advisory/Consultancy: Takeda. C. Lewis: Advisory/Consultancy: AstraZeneca. T. John: Honoraria (self), Advisory/Consultancy: BristolMyerSquibb; Honoraria (self), Advisory/Consultancy: AstraZeneca; Honoraria (self), Advisory/Consultancy: Roche; Honoraria (self), Advisory/Consultancy: Merck; Honoraria (self), Advisory/Consultancy: MSD; Honoraria (self), Advisory/Consultancy: Boehringer Ingelheim; Honoraria (self), Advisory/Consultancy: Bayer; Honoraria (institution): Specialised Therapeutics; Honoraria (institution): Pfizer; Honoraria (institution): Novartis. J.C-H. Yang: Honoraria (self), Advisory/Consultancy: AstraZeneca; Honoraria (self), Advisory/Consultancy: Roche/Genentech; Honoraria (self), Advisory/Consultancy: Boehringer Ingelheim; Honoraria (self), Advisory/Consultancy: MSD; Honoraria (self), Advisory/Consultancy: Merck Serono; Honoraria (self), Advisory/Consultancy: Novartis; Honoraria (self), Advisory/Consultancy: Pfizer; Honoraria (self), Advisory/Consultancy: Clovis Oncology; Honoraria (self), Advisory/Consultancy: Eli Lilly; Honoraria (self), Advisory/Consultancy: Bayer; Honoraria (self), Advisory/Consultancy: Celgene; Honoraria (self), Advisory/Consultancy: Astellas; Honoraria (self), Advisory/Consultancy: BMS; Honoraria (self), Advisory/Consultancy: Ono Pharmaceutical. All other authors have declared no conflicts of interest.

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