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  • 1
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 41, No. 4_suppl ( 2023-02-01), p. 415-415
    Abstract: 415 Background: Clinical trials support the efficacy of immune checkpoint blockades (ICBs) plus chemotherapy in a subset of patients with metastatic gastric cancer (mGC). With the aim of identifying determinants of response, we developed a TMEscore assay (PCR assay with 30 genes) to assess tumor microenvironment, which was previously proved to be a robust predictive biomarker for patients treated with ICBs. Methods: Advanced GC patients treated with ICB combined with chemotherapy as first-line regimen were included in this multi-center prospective clinical trial (NCT#04850716). 65 tumor specimens obtained from 8 medical centers before treatment were applied to estimate TMEscore, PD-L1(CPS) and mismatch repair deficiency (MMR). Of 65 patients, 43 patients with treatment response and 34 patients with progression-free survival (PFS) were used to compare the predictiveness of biomarkers. Results: Theoverall response rate (ORR) and median PFS of this cohort were 39.9% and 4.67 months.Enhanced ORR was observed in TMEscore-high mGC patients (ORR = 61%), but only 16.7% in the low group. Regressive tumors (partial response, PR) had markedly higher TMEscore than stable and progressive tumors (stable disease, SD; progressive disease, PD, P = 0.001). By applying ROC curve analysis, the TMEscore was found to be an encouraging predictive biomarker that surpassed MMR and CPS statistically (AUC = 0.863, 0.525, and 0.519, respectively; Delong test, P = 0.003). Importantly, the Kaplan-Meier survival analysis demonstrated that a high TMEscore was significantly related to a more favorable PFS ( P = 0.0026, HR=0.18, 95%CI 0.06-0.55). Compared to TMEscoreA (immune score), TMEscoreB (stromal score) presented a dramatically higher hazard ratio for PFS (HR = 12.25, P = 0.0001), implicating stromal activation as a critical mechanism of intrinsic resistance to ICB plus chemotherapy. Meanwhile, PD-L1 (CPS) was not statistically associated with PFS, whether 1 or 5 were used as a cutoff to divide patients ( P = 1 and 0.22). Conclusions: This prospective clinical study indicated that the TMEscore assay is a robust biomarker for screening mGC patients who may derive survival benefit from ICB plus chemotherapy. Our data also suggest that TMEscore may be a more accurate predictive biomarker than MSI and CPS (PD-L1) for mGC patients, which warrants additional investigations in larger cohorts. Clinical trial information: NCT#04850716 .
    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
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  • 2
    In: Frontiers in Oncology, Frontiers Media SA, Vol. 11 ( 2022-1-26)
    Abstract: Promising development in immune checkpoint blockade (ICB) therapy has shown remarkable results in the treatment of gastric cancer (GC). However, the objective response rate in GC remains unsatisfactory. Noninvasive imaging to predict responses to ICB therapy via tumor microenvironment (TME) assessment is needed. Accordingly, this study aimed to evaluate the role of 68 Ga-FAPI-04 PET/CT in the assessment of the immunosuppressive TME in GC and to cross-correlate imaging findings with responses to ICB therapy. Methods The correlation between fibroblast-activation-protein (FAP) expression and immunosuppressive cell infiltration was analyzed using The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) database, and GC tissue microarrays. To characterize the TME, TMEscores were calculated based on RNA-seq data from four GC patients. A total of 21 patients with GC underwent 68 Ga-FAPI-04 PET/CT before ICB treatment, and two of them were imaged after ICB therapy. Results FAP expression was found to be closely correlated with poor prognosis and infiltration of immunosuppressive cells, including myeloid-derived suppressor cells (MDSCs), exhausted T cells, and regulatory T cells (Tregs) in GC. We also found a strong relationship ( R 2 = 0.9678, p = 0.0162) between 68 Ga-FAPI-04 uptake and TMEscore. Further analyses indicated that high 68 Ga-FAPI-04 uptake was correlated with reduced therapeutic benefits from ICB therapy. Conclusions 68 Ga-FAPI-04 PET/CT may be used to noninvasively image the cancer-associated fibroblasts immunosuppressive TME in vivo and also potentially serve as a predictive biomarker of survival and antitumor immune response among patients who received ICB therapies.
    Type of Medium: Online Resource
    ISSN: 2234-943X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2649216-7
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  • 3
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 15_suppl ( 2020-05-20), p. e16016-e16016
    Abstract: e16016 Background: Colorectal cancer (CRC) molecular subtype has been emphasized and links to biological and clinical behavior. However, comprehensive metabolism of CRC has not been characterized. Subtype-specific metabolic differences and immunometabolism phenotypes remain unclear. Therefore, this study performed metabolism clustering and explore its relation with immune phenotypes as well as prognosis predictive value. Methods: Transcriptome of TCGA CRC cohort was utilized to generate 113 KEGG metabolism pathway scores via GSVA algorithm. Consensus clustering were used to identify metabolism subtypes. Bioinformatic algorithms were applied in classification and survival analysis. Results: Energy metabolism-oriented subtype, featured by nitrogen metabolism and immune-inflamed, correlated with good prognosis (log rank P 〈 0.001). Pyrimidine synthesis activated most in nucleotide metabolism-oriented subtype, which was immune-deserted. Stroma metabolism-oriented subtype, characterized by glycosaminoglycan (GAG) biosynthesis and immune-suppressive phenotype, was an independent risk factor for overall survival (multivariate Cox: HR = 2.30 95% CI 1.23-4.28, P = 0.009). Clinical cohort from Nanfang Hospital composed of RNA-Seq data from 26 pre- and post-treatment samples in mCRC patients receiving mFOLFOX+Bevacizumab were classified. 22 were identified and 8 of them were pre-treatment, 4 of which were nucleotide subtype being 100% PR. The rest were stroma subtype with SD or PD, indicating drug resistance in stroma subtype. Interestingly, GAG chondroitin sulfate featured in stroma subtype outperformed other metabolisms in predicting negative prognosis (HR = 1.42 95% CI 1.18-1.71, P 〈 0.001). We then tested GAG metabolism in TCGA pan-cancer cohort. Chondroitin sulfate and heparan sulfate metabolism subtype correlated inversely with bladder (HR = 1.23 95% CI 1.06-1.43, P = 0.007) and breast cancer (HR = 1.27 95% CI 1.10-1.47, P = 0.001) patients’ survival, respectively. Keratan sulfate subtype predicted worse survival in glioblastoma, pancreatic and liver cancer (HR = 1.31 95% CI 1.09-1.57, P = 0.003; HR = 1.31 95% CI 1.06-1.61, P = 0.01; HR = 1.23 95% CI 1.04-1.46, P = 0.02). These indicated a pan-cancer relevant role of GAG disorder. Conclusions: CRC metabolism subtypes unraveled metabolism heterogeneity with prognosis value. CRC stroma subtype and other stroma-involved cancers share active GAG metabolism, which may lighten common targeting strategies in multiple stroma-accompanied cancers.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
    detail.hit.zdb_id: 2005181-5
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  • 4
    In: Journal of Translational Medicine, Springer Science and Business Media LLC, Vol. 19, No. 1 ( 2021-12)
    Abstract: Tumor-derived exosomes (TEXs) are involved in tumor progression and the immune modulation process and mediate intercellular communication in the tumor microenvironment. Although exosomes are considered promising liquid biomarkers for disease diagnosis, it is difficult to discriminate TEXs and to develop TEX-based predictive biomarkers. Methods In this study, the gene expression profiles and clinical information were collected from The Cancer Genome Atlas (TCGA) database, IMvigor210 cohorts, and six independent Gene Expression Omnibus datasets. A TEXs-associated signature named TEXscore was established to predict overall survival in multiple cancer types and in patients undergoing immune checkpoint blockade therapies. Results Based on exosome-associated genes, we first constructed a tumor-derived exosome signature named TEXscore using a principal component analysis algorithm. In single-cell RNA-sequencing data analysis, ascending TEXscore was associated with disease progression and poor clinical outcomes. In the TCGA Pan-Cancer cohort, TEXscore was elevated in tumor samples rather than in normal tissues, thereby serving as a reliable biomarker to distinguish cancer from non-cancer sources. Moreover, high TEXscore was associated with shorter overall survival across 12 cancer types. TEXscore showed great potential in predicting immunotherapy response in melanoma, urothelial cancer, and renal cancer. The immunosuppressive microenvironment characterized by macrophages, cancer-associated fibroblasts, and myeloid-derived suppressor cells was associated with high TEXscore in the TCGA and immunotherapy cohorts. Besides, TEXscore-associated miRNAs and gene mutations were also identified. Further experimental research will facilitate the extending of TEXscore in tumor-associated exosomes. Conclusions TEXscore capturing tumor-derived exosome features might be a robust biomarker for prognosis and treatment responses in independent cohorts.
    Type of Medium: Online Resource
    ISSN: 1479-5876
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2118570-0
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  • 5
    In: Cancer Communications, Wiley, Vol. 42, No. 5 ( 2022-05), p. 471-475
    Type of Medium: Online Resource
    ISSN: 2523-3548 , 2523-3548
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2922913-3
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  • 6
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. 3568-3568
    Abstract: 3568 Background: Identifying patterns of pathological tumor resistant to treatment regimens and improving tumor’s chemotherapy sensitivity from longitudinal and multi-omics data integration are of paramount importance in order to provide the best chances of cure, especially, for colorectal cancer liver metastases. Methods: We elucidated genomic (ctDNA and whole exome sequencing), immunomic (DNA-based T cell receptor sequencing) and transcriptomic changes from liver metastases, peripheral blood and match primary tumors that accompany the evolution of colorectal cancer liver metastases. In total, 197 histopathologically distinct areas of liver metastases and 72 peripheral blood samples at multiple time points from 15 patients with colorectal cancer were analysis in this study. Results: In responding patients, mutation load from plasma were reduced from baseline ( P 〈 0.001), but changed slightly in tumor tissues ( P = 0.351). Transcriptomic analysis and immunohistochemistry revealed that increased infiltration of neutrophils and monocytes were associated with worse outcomes and insensitive response to chemotherapy (Neutrophils: P = 0.003; Monocytes: P = 0.032). Activation of fatty acid metabolism, JAK-STAT, PPAR, insulin and TGF-β signaling pathway were observed in progressive tumor. TCR diversity in response metastatic regions was significantly increased compared with non-responder ( P = 0.008). Combination of bevacizumab with chemotherapy facilitated T cell infiltrating to the tumor microenvironment which might consequently benefit from checkpoint immunotherapy ( P = 0.006). Conclusions: Our integrative and comparative genomic analysis provides a new paradigm for understanding the evolution and treatment resistance of colorectal cancer liver metastases, with implications for identifying ways to advance treatment regimen and monitoring treatment response of colorectal cancer liver metastases.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 2005181-5
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  • 7
    In: Frontiers in Oncology, Frontiers Media SA, Vol. 12 ( 2022-4-7)
    Type of Medium: Online Resource
    ISSN: 2234-943X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2649216-7
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