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  • 1
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 41, No. 16_suppl ( 2023-06-01), p. 6096-6096
    Abstract: 6096 Background: ACC is a heterogeneous malignancy with no standard treatment for patients (pts) with R/M disease. Two distinct ACC subtypes have been identified proteogenomically, which contribute to ACC’s biological variability. ACC-I is enriched with NOTCH activating mutations and MYC overexpression and has a poor prognosis (median survival [mOS] = 3.4 years). ACC-II has upregulation of TP63 and presents with an indolent disease course (mOS = 23.2 years). In a phase II trial of axitinib (VEGFR inhibitor) plus avelumab (PD-L1 inhibitor) in R/M ACC, clinical benefit was heterogenous. We hypoth esized that ACC subtype and gene expression profile are associated with benefit to axitinib plus avelumab. Methods: Cohort of 28 R/M ACC pts with radiological or clinical progression within 6 months (mos) of enrollment in the axitinib plus avelumab trial (NCT03990571). Target transcriptome profile including 19,616 probes was generated using HTG Transcriptome Panel [HTP]. Gene expression was used to identify ACC subtypes (ACC-I vs. ACC-II). Confirmed overall response rate (ORR), disease control rate (DCR), and progression-free survival (PFS) per RECIST v1.1 was assessed for each ACC subtype. An analysis of genes associated with benefit vs. no benefit from axitinib plus avelumab was conducted for the overall population and per ACC subtype. Benefit was defined as disease control (partial response [PR] or stable disease [SD]) and PFS longer than the median PFS. PFS 〉 6 mos was not used to define benefit due to the significant differences in PFS between ACC subtypes. Results: Out of 28 pts, 14 (50%) were classified as ACC-I and 14 (50%) were ACC-II. For ACC-I, ORR was 14.3% (2/14; 95%CI: 1.8-42.8%), DCR was 35.7% (2 PR + 3 SD; 95%CI: 12.8-64.9%) and median PFS was 1.86 mos (95%CI: 1.81-8.61 mos). For ACC-II, ORR was 21.4% (3/14; 95%CI: 4.7-50.8%), DCR was 100% (3 PR + 11 SD; 95%CI: 76.8-100%) and median PFS was 10.5 mos (95%CI: 7.40-NA). PFS was significantly longer for ACC-II vs. ACC-I (HR 0.19 [95%CI: 0.08 – 0.49], p = 0.0002). Through the previously defined benefit vs. no benefit cutoff, ACC-I had a 42.9% (6/14) and ACC-II had a 50.0% (7/14) benefit rate. Benefit in all ACC pts, ACC-I and ACC-II was associated with high expression of immune-related genes, especially B and T-lymphocyte function. Angiogenesis-related genes were not significantly upregulated in the benefit group as previously reported in renal cell carcinoma pts treated with the same combination. Conclusions: Clinical outcomes to axitinib plus avelumab were distinct between ACC-I and ACC-II subtypes, with ACC-II pts demonstrating an improved DCR and significantly longer PFS. Gene expression analysis revealed high expression of immune function-related genes in patients who benefited from axitinib plus avelumab in both ACC subtypes, indicating possible biomarkers predictive of benefit from the combination in ACC. Clinical trial information: NCT03990571 .
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2023
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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  • 2
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 41, No. 16_suppl ( 2023-06-01), p. e21072-e21072
    Abstract: e21072 Background: While the administration of specific tyrosine-kinase inhibitors (TKIs) in ALK-fusion positive lung cancer has led to significant improvement in clinical outcomes, detection of gene fusions remains challenging, especially from liquid biopsies. In tissue biopsies, assays which incorporate RNA-based detection have demonstrated increased sensitivity for gene fusion detection. We therefore hypothesized that a liquid biopsy assay equally including assessment of gene fusions using circulating-tumor RNA (ctRNA) in addition to circulating-tumor DNA (ctDNA), will improve detection. Furthermore, we hypothesized that detection of gene fusions as well as mutations will also correlate with clinical treatment. Methods: We retrospectively analyzed 89 samples from 35 patients included in the BRIGHTSTAR clinical trial assessing local consolidative therapy (LCT) and brigatinib in patients with stage IV or recurrent Non-small Cell Lung Cancer and confirmed ALK rearrangement (NCT03707938). Samples were included at baseline (N = 31), prior to LCT after 8 weeks of brigatinib treatment (N = 29), after LCT ( 〈 3 weeks; N = 25) and at progression (N = 4). We used a targeted next generation sequencing (NGS) assay assessing both ctDNA as well as ctRNA (LiquidHALLMARK, Lucence Health, Palo Alto) to detect ALK fusions as well as mutations in 80 genes. Up to 5 ml of plasma was analyzed per sample. Results: At baseline, ALK fusions were detected in 15/31 patients (48%) of which 8 were detected using both ctDNA and ctRNA, while four were exclusively detected in ctDNA and three in ctRNA. Plasma ctDNA concentrations for patients with detectable ALK fusions at baseline were significantly higher than for those without detectable gene fusions (mean 26.1 ng/mL versus 16.6 ng/mL; p = 0.0044). ALK fusions were detected in two patients pre-LCT, exclusively in ctRNA, while ALK fusions cleared completely post-LCT. At progression, ALK fusions were detected in 2/4 samples (50%) in both ctDNA and ctRNA. Of the two negative samples tissue biopsies were available confirming the absence of an ALK rearrangement, including one transformation to squamous cell carcinoma. Overall, including analysis of ctRNA led to a 36% relative additional detection of ALK fusions compared to analyzing ctDNA alone. Furthermore, ctDNA mutation positivity in genes other than ALK was 17/31 (55%), 9/29 (31%), 8/25 (32%) and 3/4 (75%) for baseline, pre-LCT, post-LCT and progression, respectively. Conclusions: We highlight that ALK fusions can be reliably detected in plasma of lung cancer patients and detectability of ALK fusions correlate with exposure to treatment. Analyzing ctRNA in addition to ctDNA improves sensitivity of fusion detection and is a highly promising strategy in this setting.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2023
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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