A model for predicting response to PD-1 inhibitors in NSCLC
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ABSTRACT:
PROVIDER: PRJNA671398 | ENA |
REPOSITORIES: ENA
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Project description:A model for predicting response to PD-1 inhibitors in NSCLC
| PRJNA671397 | ENA
Project description:LncRNA expression profiles were sucessfully contructed in 370 patients with NSCLC and 198 corresponding adjacent noncancerous tissues using a custom microarray containing probes for 2412 lncRNAs and an outcome prediction of lncRNA signature was successfully identified for predicting prognosis in NSCLC.
2020-08-31 | GSE143018 | GEO
Project description:Non-small cell lung cancer (NSCLC) is the leading cause of cancer death worldwide. Although immune checkpoint inhibitors (ICIs) have demonstrated outstanding clinical efficacy in the treatment of NSCLC patients, ICIs-based therapy has also been associated with a paradoxical acceleration of tumor growth defined as hyperprogressive disease (HPD). In this paper we evaluated distinct plasticity traits in a model of HPD-NSCLC, with the aim of clarifying the mechanisms contributing to ICI resistance that involve IFN-γ and PD-L1. For this purpose, primary cell cultures were established from two stage IV NSCLC samples obtained from a single patient: one, prior to ICI initiation (NSCLC-B, baseline) and the other at the time of radiological evidence of hyperprogression under ICI treatment (NSCLC-H, hyperprogression). Compared to NSCLC-B cells, NSCLC-H cells exhibited a more aggressive in vivo and in vitro behavior, higher MAPK activation and owned the ability to develop tumoroids. The 3500 differentially expressed transcripts, according to whole transcriptome analysis, well described the profound plastic evolution of cells from NSCLC-B to NSCLC-H culture, as well as the increase of CD44 in the NSCLC-H cell line model, in which transcripts of CD44 isoforms lacking the variant domain were abundant. Transcripts of genes involved in the cellular response to IFN-γ were down-modulated in NSCLC-H compared to NSCLC-B, together with CD274. Conversely, an up-regulation of genes related to inflammatory response, including IL1- and IFNGR1, was found. In vitro response to IFN- γ was compromised in both NSCLC-B and NSCLC-H cells, since IFN- γ failed to exert its antiproliferative effect on these cells and to effectively induce PD-L1 expression in 2D-growth assays. Nevertheless, the cytokine induced the activation of both type I and type II IFN-pathway mediators. In addition, treatment with IFN-γ induced NSCLC-H traits in NSCLC-B cells, promoting a striking increase in the number of NSCLC-B 3D-soft agar colonies. Low IFN-γ doses or modulation of PD-L1 contributed to the evolution of NSCLC-B towards NSCLC-H phenotype through the augment of CD44 on cell membrane, cell morphological changes and increased cell growth or sphere formation ability. In conclusion, we report a modulation of plasticity by PD-L1 modulation and IFN-γ in a NSCLC cell culture established from a treatment-naïve patient, who developed HPD under ICI therapy, suggesting an association between NSCLC plasticity and these main actors involved in ICI activity.
2024-12-31 | GSE255144 | GEO
Project description:In order to ascertain the potential for histone deacetylase (HDAC) inhibitor-based treatment in non-small cell lung cancer (NSCLC), we analyzed the anti-tumour effects of Trichostatin A (TSA) and suberoylanilide hydroxamic acid (vorinostat) in a panel of 16 NSCLC cell lines via MTT assay. TSA and vorinostat both displayed strong anti-tumor activities in a proportion of NSCLC cell lines, and suggesting the need for the use of predictive markers to select patients receiving this treatment. There was a strong correlation between the responsiveness to TSA and vorinostat (P < 0.0001). To identify a molecular model of sensitivity to HDAC inhibitor treatment in NSCLC, we conducted a gene expression profiling study using cDNA arrays on the same set of cell lines and related the cytotoxic activity of TSA to corresponding gene expression pattern using a modified NCI program. In addition, pathway analysis was performed with Pathway Architect software. We used nine genes, which were identified by gene-drug sensitivity correlation and pathway analysis, to build a support vector machine (SVM) algorithm model by which sensitive cell lines were distinguished from resistant cell lines. The prediction performance of the SVM model was validated by an additional seven cell lines, resulting in a prediction value of 100% in respect to determining response to TSA. Our results suggested that [1] HDAC inhibitors may be promising anticancer drugs to NSCLC, and [2] the nine gene classifer is useful in predicting drug sensitivity to HDAC inhibitors and may contribute to achieving individualized therapy for NSCLC patients. training sample set:; GSM94303 PC9; GSM94304 PC7; GSM94305 PC14; GSM94306 A549; GSM94308 LK2; GSM94313 RERF LC-KJ; GSM94314 RERF LC-MS; GSM94315 RERF-LC-AI; GSM94316 PC-1; GSM94317 PC-3; GSM94319 PC-10; GSM94323 ABC-1; GSM94324 EBC-1; GSM94325 LC2/ad; GSM94328 SQ-5; GSM94329 QG-56; test sample set:; GSM94307 LU65; GSM94326 LC1/sq; GSM94327 LC-1F; GSM254967 LCOK; GSM254968 LCD; GSM254969 H1650; GSM254970 H1975 Experiment Overall Design: gene expression analyis in lung cancer cell lines
2008-06-11 | E-GEOD-10089 | biostudies-arrayexpress
Project description:Lack of a standard method for stratifying advanced-stage NSCLC patients receiving platinum combination therapy often results in a number of patients that do not derive benefit yet are still exposed to treatment toxicity. We hypothesized that miRNAs in pre-treatment serum and/or plasma could be used to differentiate non-small cell lung cancer (NSCLC) patients who would have disease progression to first-line carboplatin and gemcitabine chemotherapy at first response assessment. miRNA profiling of mature and precursor miRNAs was performed on total RNA isolated from the pre-treatment serum and plasma of 24 NSCLC patients. Single validated candidates or combinations thereof were selected based on specificity and sensitivity to segregate patients with disease progression at first radiologic response (PD) vs. those without progressed disease (nonPD). Two precursor miRNA were significantly over-expressed in serum (but not plasma) of PD patients: pre-miR-518b and pre-miR-598. Serum miRNAs may serve as a screening tool in predicting chemoresistance to platinum-based combination chemotherapy. miRNA microarray was performed on RNA extracted from matched human serum or plasma obtained from NSCLC patients
2012-12-01 | E-GEOD-25019 | biostudies-arrayexpress
Project description:Exosomal miRNAs involved in response to anti-PD-1/PD-L1 monotherapy in advanced NSCLC patients were successfully identified through the microoarray analysis.
2023-01-12 | GSE189045 | GEO
Project description:Epidermal growth factor receptor (EGFR) inhibitors, as targeted therapies for non-small-cell lung cancer (NSCLC), have significantly enhanced patient survival and quality of life. However, despite these advancements, a significant proportion of patients exhibit resistance to EGFR inhibitors, limiting their overall treatment effectiveness. This study investigates the synergistic effects of combining Paeoniae Radix (PR) with the EGFR inhibitors erlotinib and gefitinib to overcome this resistance. The transcriptomic analysis of PR treatment revealed its potential to reverse the gene signature associated with resistance to EGFR inhibitors, as identified through analysis of a cell line database in EGFR mutant NSCLC. Combination treatment experiments validated that PR increased responsiveness to erlotinib and gefitinib in H1650 and H1975 NSCLC cells. By combining molecular experiments and transcriptome analysis, we found that PR may suppress resistance by modulating the Aurora B and apoptosis pathways. Notably, the combination therapy upregulated the apoptosis pathway and downregulated the Aurora B pathway more than single drug treatments. These results may contribute to the development of natural product-based combination therapeutic strategies to inhibit drug resistance in NSCLC.
2024-03-24 | GSE261880 | GEO
Project description:This is a phase I/II multi-center open-label proof of concept study, consisting of two parts. Part A of this study is designed to identify the recommended phase 2 dose (RP2D) of the combination regimen of dacomitinib plus PD-0325901 in patients with advanced KRAS mutant (KRASm) non-small cell lung cancer (NSCLC). Part B is designed to perform a randomized comparison of the combination of dacomitinib and PD-0325901 versus standard of care therapy in patients with advanced KRASm NSCLC. It is hypothesized that with this combination strategy the progression free survival of patients with KRASm NSCLC will be doubled.
| 2159017 | ecrin-mdr-crc
Project description:Success of immune checkpoint inhibitors in advanced non-small cell lung cancer (NSCLC) has invigorated their use in neo-adjuvant setting for early-stage disease. However, the cellular and molecular mechanisms of the early immune responses to therapy remain poorly understood. Through an integrated analysis of early-stage NSCLC patients and a Kras-mutant mouse model, we show a prevalent programmed cell death 1/ programmed cell death 1 ligand 1 (PD-1/PD-L1) axis exemplified by increased intratumoral PD-1+ T cells and PD-L1 expression. Notably, tumor progression was associated with spatiotemporal modulation of the immune microenvironment. Importantly, PD-1 inhibition controlled tumor growth, improved overall survival, and reprogrammed tumor-associated lymphoid and myeloid cells. Depletion of T lymphocyte subsets demonstrated synergistic effects of those populations on PD-1 inhibition of tumor growth. Transcriptome analyses revealed T cell subset-specific alterations corresponding to degree of response to the treatment. These results provide insights into temporal evolution of the phenotypic effects of PD-1/PD-L1 activation and inhibition, and motivate targeting this axis early in lung cancer progression.
2018-07-26 | GSE114300 | GEO
Project description:Identification of a Four-lncRNA Signature Predicting Prognosis of Patients with NSCLC
| PRJNA599191 | ENA