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  • American Society of Clinical Oncology (ASCO)  (3)
  • 2020-2024  (3)
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  • American Society of Clinical Oncology (ASCO)  (3)
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  • 2020-2024  (3)
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  • 1
    In: JCO Global Oncology, American Society of Clinical Oncology (ASCO), Vol. 9, No. Supplement_1 ( 2023-08), p. 34-34
    Abstract: 34 Background: Pertuzumab plus trastuzumab (per-/tra-) has shown clinical benefits in patients (pts) with HER2-amplified mCRC, but still there is an unmet need of biomarkers to optimize treatment decisions. In this study, we applied AI-powered whole-slide image (WSI) analyzers, to investigate the association of HER2 QCS and TME with clinical outcomes of per-/tra- in pts with HER2-amplified mCRC enrolled in TRIUMPH, a phase II study. Methods: TRIUMPH is a multicenter phase II study to evaluate the efficacy of per-/tra- in pts with mCRC with HER2 amplification confirmed by tumor tissue or circulating tumor DNA (ctDNA) analysis. HER2 immunohistochemistry (IHC) and H & E-stained WSIs from 30 pts enrolled in TRIUMPH were included in the analysis. AI-powered WSI analyzers, Lunit SCOPE HER2 and Lunit SCOPE IO (Lunit, Republic of Korea) detects tumor cells (TC) by HER2 staining intensity (negative, 1+, 2+, or 3+) in HER2-WSI, and detects various class of cells including tumor-infiltrating lymphocytes (TIL), macrophages and fibroblasts in H & E-WSI, respectively. Immune-excluded score (IES) was defined as the proportion of high stromal TIL but low intratumoral TIL area in all analyzable TME. Tumor response was measured by RECIST v1.1, and the primary endpoint was progression-free survival (PFS) assessed by the investigators. Results: All 30 tumor samples had proven HER2-amplification by either HER FISH or ctDNA analysis. The concordance rate between pathologists and AI to examine HER2 IHC was 86.7% (26/30), AI-powered HER2 QCS showed the proportion of HER2 3+ TC was widely distributed (median 73.9%; min-max 11.9%-98.9%) in the samples with HER2 3+ assessed by pathologists. Objective response rates (ORR) of per-/tra- in the whole set and a subgroup of HER2 IHC 3+ assessed by pathologists were 26.7% (8/30) and 34.8% (8/23), respectively. AI-powered HER2 QCS enabled enrichment of responders, as a subgroup of HER2 3+ QCS ≥ 50%, which is a higher cutoff than ASCO/CAP guideline (10%), had 42.1% (8/19) ORR, since all 8 responders harbored HER2 3+ QCS ≥ 50%. PFS and overall survival (OS) were significantly favorable in HER2 3+ QCS ≥ 50% group compared to 〈 50% group (median PFS [mPFS] 4.4 vs 1.4 m, hazard ratio [HR] 0.12 [95% CI, 0.04-0.38], p = 0.0000994; median OS [mOS] 16.5 vs 4.1 m, HR 0.13 [95% CI, 0.05-0.38], p = 0.000117, respectively). Interestingly, IES and the densities of macrophages and fibroblasts within cancer stroma were correlated with poor response to per-/tra-. Among HER2 3+ QCS ≥ 50% group, 5 pts with high IES (≥ 54%), macrophage density (≥ 26.3/mm 2 ), and fibroblast density (≥ 1790/mm 2 ) had ORR 0%, mPFS 1.3 m, and mOS 4.5 m. Conclusions: AI-powered HER2 QCS and TME analysis may provide additional information to precisely predict per-/tra- response in HER2-positive mCRC.
    Type of Medium: Online Resource
    ISSN: 2687-8941
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2023
    detail.hit.zdb_id: 3018917-2
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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. 3608-3608
    Abstract: 3608 Background: Preoperative CRT followed by consolidation nivolumab before surgery showed a promising pCR rate in MSS LARC; both high PD-L1 expression and an elevated CD8 + T cell/effector regulatory T cell ratio analyzed by pre-CRT samples were independently related to high pCR rate (Bando H, Clin Cancer Res. 2022). Here, we applied AI-powered spatial TIL analysis to the VOLTAGE study to investigate whether dynamic change of TIL in TME may predict pCR in MSS LARC. Methods: The VOLTAGE study is a multicenter phase I/II study to evaluate the efficacy of CRT followed by 5 cycles of nivolumab and surgery in patients (pts) with LARC. In this study, tumor samples were obtained at multiple time points; pre-CRT (B1), post-CRT/pre-nivolumab (B2), post-3 cycles of nivolumab (B3), and surgery. In this analysis, a total of 86 H & E whole-slide images (WSI) harvested at B1 and B2 time points from all the pts enrolled in the VOLTAGE study were included in the analysis. Lunit SCOPE IO (Lunit, Republic of Korea), AI-powered H & E-WSI analyzer developed based on 16,443 WSI with pathologists' annotations, was applied to quantify TIL density in TME. Results: In a total of 43 pts, pCR rate of MSS and microsatellite instability-high (MSI-H) were 28.9% (11/38) and 60% (3/5), respectively. In MSS subgroup (n = 38), which has a higher unmet need for pCR prediction, tumor samples with pCR (n = 11) had increased TIL density in TME (tTIL) in post-CRT (B2, median [IQR] 726 [249-1607] /mm 2 ) compared to pre-CRT (B1, 598 [366-905] /mm 2 ), whereas those without pCR (n = 27) had decreased tTIL in post-CRT (405 [148-748] /mm 2 ), compared to pre-CRT (B1, 748 [460-1153] /mm 2 ). Intratumoral TIL density changes were more prominent than stromal TIL density changes in MSS tumor samples with pCR (mean fold change x17.7 vs. x1.5). MSS Pts with tTIL change from B1 to B2 (during CRT) more than x1.8 times achieved 75% (6/8) pCR rate, whereas those with tTIL change less than x1.8 had 16.7% (5/30) pCR rate (p = 0.0035). Conclusions: Change of TIL density in TME during CRT was significantly correlated with favorable clinical outcome of preoperative CRT and consolidation nivolumab, resulting in high pCR rate in MSS LARC.
    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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  • 3
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 16_suppl ( 2022-06-01), p. e21177-e21177
    Abstract: e21177 Background: The significance of micro-pretreatment EGFR T790M mutation on EGFR-tyrosine kinase inhibitor (TKI) efficacy in patients with non-small cell lung cancer (NSCLC) remains uncertain. In addition, there has been no method to examine the micro-T790M mutation after excluding formalin-fixed and paraffin-embedded (FFPE)-derived artificial mutations. Therefore, we used a novel method to examine the variant allele frequency (VAF) of T790M mutation in the FFPE samples after excluding the artificial mutations. Subsequently, we retrospectively investigated the association between micro-T790M mutations and time to treatment failure (TTF) in patients treated with 1 st , 2 nd , or 3 rd generation (1G, 2G, 3G) EGFR-TKIs. Methods: We enrolled patients with NSCLC who harbored EGFR exon 19 deletion (Del19) or L858R without T790M mutation using conventional methods. Patients who received 1G or 2G EGFR-TKIs until June 2018 or 3G EGFR-TKI until June 2019 from 31 institutions were included. Droplet digital PCR was performed using pretreatment FFPE tumor samples. We defined cases as micro-T790M positive when the VAF of T790M was higher than that of F795F, owing to the FFPE-derived artificial mutations. The ratio of micro-T790M mutation was calculated as follows: {(VAF of T790M) – (VAF of F795F)} /VAF of (Del19 or L858R). The lowest value was set as 0. Results: A total of 110, 102, and 103 patients received 1G, 2G, and 3G EGFR-TKIs, respectively. Of these patients, 48.1%, 47.0%, and 47.6% were classified as micro-T790M positive, respectively. The ratios of micro-T790M mutation, represented as median (%) (interquartile range), in 1G, 2G, and 3G EGFR-TKI groups were 0.27 (0.12-0.87), 0.28 (0.13-0.47), and 0.42 (0.20-0.68), respectively. The VAF of T790M or F795F in all patients, represented as median (%) (interquartile range), was 0.26 (0.19-0.35) or 0.25 (0.19-0.33), respectively. The TTF was not significantly different between the T790M-positive and negative groups in analysis based on each generation TKIs. In the Del19 group, the TTF of the 1G EGFR-TKI was significantly shorter, while that of the 3G EGFR-TKI was significantly longer in the T790M-positive group than in the negative group ( p= 0.02, 0.04, respectively). In the T790M-positive group, the TTF of the 2G or 3G EGFR-TKI group was significantly longer than that of the 1G EGFR-TKI group ( p= 0.04, 0.01, respectively). This result was observed in the Del19 group but not in the L858 group. Furthermore, TTF did not significantly differ between the 1G, 2G, and 3G EGFR-TKIs in the T790M-negative group. Conclusions: This study showed that micro- EGFR T790M mutations influence the EGFR-TKI efficacy. Detection of micro-T790M mutations will facilitate selection of the optimal EGFR-TKI for patients with EGFR mutated NSCLC.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2022
    detail.hit.zdb_id: 2005181-5
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