Association of immune microenvironment to response in treatment-naïve non-small cell lung cancer (NSCLC) samples with follow-up second-line immunotherapy data.

Authors

null

Marie Cumberbatch

TriStar Technology Group, LLC, Washington, WA

Marie Cumberbatch, Nathan Elliott, Sarah Warren, Woo Ho Kim, Christopher Womack, Milan Bhagat, Lorenzo Colarossi, Lorenzo Memeo

Organizations

TriStar Technology Group, LLC, Washington, WA, NanoString Technologies Inc, Seattle, WA, NanoString Technologies, Inc., Seattle, WA, Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea, TriStar Technology Group, LLC., Washington, WA, TriStar Technology Group LLC, Washington, WA, TriStar Technology Group, Washington, WA

Research Funding

No funding received
None

Background: Archival specimens collected months or years prior to starting immunotherapy are often used to identify patients for second line immune checkpoint inhibitor (ICI) treatment. PD-L1 expression and the immune microenvironment in these patients may have altered over time following multiple lines of failed standard of care (SOC) treatments. Methods: Formalin fixed paraffin embedded (FFPE) tumor samples, taken during resection performed as first line surgical treatment from a cohort of NSCLC patients (n = 18), were evaluated by Nanostring using the IO360 gene expression panel, and by immunohistochemistry (IHC) for CD3, CD8, PD-L1, CD68 and CD163. The resultant immune profiles were correlated with the clinical follow-up data for radiotherapy, SOC chemotherapy, and second line immunotherapy with the aim of understanding whether immune signatures predictive of response to ICI therapy may be identified in such samples. Results: Of the 18 cases, clinical follow-up data indicated objective response to ICI therapy for 4 patients, with the mean time from initial diagnosis to ICI treatment being 2.8 years (range: 0.4 to 8.5 years). Although pathologist PD-L1 IHC scores were not predictive of response, IHC image analysis data revealed significant increases in CD3 (2.3-fold) and CD8 (2.7-fold) T cell numbers in the responder population. In addition, although CD68+ macrophage frequencies did not differ significantly between responder and non-responder populations, reduced M2-like CD163+ macrophage/monocyte numbers were evident for responders. While the Tumor Inflammation Signature was not predictive of response, several gene expression signatures were significantly associated with response including increased abundance of CD8 T cells, cytotoxic cells, cytotoxicity, MHC class II antigen presentation and Melanoma-Associated Antigens (MAGE). Conclusions: Despite these patients having received various lines of radiotherapy and SOC chemotherapy prior to receiving immunotherapy, immune profiles associated with response to second line immunotherapy were detected in surgical first line resection samples.

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Abstract Details

Meeting

2020 ASCO-SITC Clinical Immuno-Oncology Symposium

Session Type

Poster Session

Session Title

Poster Session B

Track

Breast and Gynecologic Cancers,Developmental Therapeutics,Genitourinary Cancer,Head and Neck Cancer,Lung Cancer,Melanoma/Skin Cancers,Gastrointestinal Cancer,Combination Studies,Implications for Patients and Society,Miscellaneous Cancers,Hematologic Malignancies

Sub Track

Biomarkers and Inflammatory Signatures

Citation

J Clin Oncol 38, 2020 (suppl 5; abstr 49)

Abstract #

49

Poster Bd #

B10

Abstract Disclosures