Dataset Information

Effect of galectin-1 on prognosis and responsiveness of immune checkpoint plus tyrosine kinase inhibition in renal cell carcinoma.

ABSTRACT:

Background

In renal cell carcinoma (RCC), no clinically available biomarker has been utilized for checkpoint inhibitor immunotherapy (IO) + tyrosine kinase inhibitor (TKI) combinations. Galectin-1 overexpression is found in tumors, with potential immune-regulating roles.

Methods

RNA-sequencing was performed in two cohorts of RCC treated with IO/TKI combination therapy (ZS-MRCC, JAVELIN-101). Immunohistochemistry and flow cytometry were performed to investigate immune cell infiltration and function in the tumor microenvironment of RCC. The RECIST criteria were used to define response and progression-free survival (PFS).

Results

Galectin-1 expression was elevated in RCC with higher stage (p < 0.001) and grade (p < 0.001). Galectin-1 expression was also elevated in non-responders of IO/TKI therapy (p = 0.047). High galectin-1 was related with shorter PFS in both ZS-MRCC cohort (p = 0.036) and JAVELIN-101 cohort (p = 0.005). Multivariate Cox analysis defined galectin-1 as an independent factor for PFS (HR 2.505; 95% CI 1.116-5.622; p = 0.026). In the tumor microenvironment, high galectin-1 was related with decreased GZMB+CD8+ T cells (Speraman's ρ = -0.31, p = 0.05), and increased PD1 + CD8+ T cells (Speraman's ρ = 0.40, p = 0.01). Besides, elevated number of regulatory T cells (p = 0.039) and fibroblasts (p = 0.011) was also found in high galectin-1 tumors. Finally, a random-forest score (RFscore) was built for predicting IO/TKI benefit. IO/TKI therapy showed benefit only in low-RFscore patients (HR 0.489, 95% CI 0.358-0.669, p < 0.001), rather than high-RFscore patients (HR 0.875, 95% CI 0.658-1.163, p = 0.357).

Conclusions

High galectin-1 indicated therapeutic resistance and shorter PFS of IO/TKI therapy. High galectin-1 also indicated CD8+ T cell dysfunction. High galectin-1 could be applied for patient selection of IO/TKI therapy in RCC.

SUBMITTER: Wang J

PROVIDER: S-EPMC10974699 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Effect of galectin-1 on prognosis and responsiveness of immune checkpoint plus tyrosine kinase inhibition in renal cell carcinoma.

Wang Jiajun J Zhang Sihong S Wang Ying Y Zhu Yanjun Y Xu Xianglai X Guo Jianming J

Cancer medicine 20240401 7

<h4>Background</h4>In renal cell carcinoma (RCC), no clinically available biomarker has been utilized for checkpoint inhibitor immunotherapy (IO) + tyrosine kinase inhibitor (TKI) combinations. Galectin-1 overexpression is found in tumors, with potential immune-regulating roles.<h4>Methods</h4>RNA-sequencing was performed in two cohorts of RCC treated with IO/TKI combination therapy (ZS-MRCC, JAVELIN-101). Immunohistochemistry and flow cytometry were performed to investigate immune cell infiltra ...[more]

PMID: 38545824

Similar Datasets

Project description:BackgroundThis study aimed to evaluate safety and efficacy of programmed death-1 (PD-1) inhibitor sintilimab plus tyrosine kinase inhibitors (TKI) in a real-word cohort of patients with unresectable hepatocellular carcinoma (uHCC).MethodsA total of 60 patients treated with sintilimab plus TKI between February 2019 and December 2019 were enrolled. Radiological response was recorded by computed tomography (CT) or magnetic resonance imaging (MRI) at baseline and every 6-12 weeks after treatment initiation. Tumor response was assessed according to the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 and HCC-specific modified RECIST (mRECIST).ResultsAs of the data cutoff on September 30st, 2020, the median duration of follow-up was 10.4 (4.3-23.9) months. The objective response rate (ORR) and disease control rate (DCR) were 36.7% (95% CI: 24.9-48.5%), 81.7% (95% CI: 71.9-91.5%) according to the RECIST 1.1, and 52.8% (95% CI: 39.1-66.5%), 83.0% (95% CI: 73.2-93.8%) according to mRECIST criteria. Among 36 HCC patients with multinodular HCC or locally-advanced HCC with portal vein tumor thrombus (PVTT), 14 patients received one session of transarterial chemoembolization (TACE) within 1 month before or after the combinational systemic therapies, and the rest 22 patients did not receive any local regional therapies. After propensity score matching, patients from the TACE group tended to have a longer PFS (median, 10.1 vs. 9.1 months, P=0.73) than those from the non-TACE group but without significant differences. A total of 8 patients received surgical resection after the combined systemic therapies and 3 patients achieved pathological CR. No recurrence or metastasis was observed in 6 patients. A total of 46 (76.7%) patients reported adverse event (AE) with any grade and 8 (13.3%) patients discontinued the combination therapy due to grade 3/4 severe adverse events.ConclusionsPD-1-targeted immunotherapy sintilimab plus TKIs exhibited promising efficacy with tolerable toxicity in unresectable HCC. The addition of TACE to the combined systemic therapies also resulted in a favorable tumor control and safety. For select responders, surgical resection might be a choice for radical treatment.

Project description:BackgroundImmune checkpoint blockade (ICB) and anti-angiogenic drug combination has prolonged the survival of patients with advanced renal cell carcinoma (RCC). However, not all patients receive clinical benefits from this intervention. In this study, we aimed to establish a promising immune-related prognostic model to stratify the patients responding to ICB and anti-angiogenic drug combination and facilitate the development of personalized therapies for patients with RCC.Materials and methodsBased on clinical annotations and RNA-sequencing (RNA-seq) data of 407 patients with advanced RCC from the IMmotion151 cohort, nine immune-associated differentially expressed genes (DEGs) between responders and non-responders to atezolizumab (anti-programmed death-ligand 1 antibody) plus bevacizumab (anti-vascular endothelial growth factor antibody) treatment were identified via weighted gene co-expression network analysis. We also conducted single-sample gene set enrichment analysis to develop a novel immune-related risk score (IRS) model and further estimate the prognosis of patients with RCC by predicting their sensitivity to chemotherapy and responsiveness to immunotherapy. IRS model was further validated using the JAVELIN Renal 101 cohort, the E-MTAB-3218 cohort, the IMvigor210 and GSE78220 cohort. Predictive significance of the IRS model for advanced RCC was assessed using receiver operating characteristic curves.ResultsThe IRS model was constructed using nine immune-associated DEGs: SPINK5, SEMA3E, ROBO2, BMP5, ORM1, CRP, CTSE, PMCH and CCL3L1. Advanced RCC patients with high IRS had a high risk of undesirable clinical outcomes (hazard ratio = 1.91; 95% confidence interval = 1.43-2.55; P < 0.0001). Transcriptome analysis revealed that the IRS-low group exhibited significantly high expression levels of CD8+ T effectors, antigen-processing machinery, and immune checkpoints, whereas the epithelial-mesenchymal transition pathway was enriched in the IRS-high group. IRS model effectively differentiated the responders from non-responders to ICB combined with angiogenesis blockade therapy or immunotherapy alone, with area under the curve values of 0.822 in the IMmotion151 cohort, 0.751 in the JAVELIN Renal 101 cohort, and 0.776 in the E-MTAB-3218 cohort.ConclusionIRS model is a reliable and robust immune signature that can be used for patient selection to optimize the efficacy of ICB plus anti-angiogenic drug therapies in patients with advanced RCC.

Project description:BackgroundThe triple combination of hepatic arterial infusion chemotherapy (HAIC) with fluorouracil, leucovorin, and oxaliplatin (FOLFOX) plus tyrosine kinase inhibitor (TKI) and immune checkpoint inhibitors (ICIs) is expected to have a synergistic anticancer effect in HCC. We conducted this meta-analysis to evaluate the efficacy and safety of the triple combination treatment in advanced HCC patients.MethodsPubMed, Embase, Cochrane Library, Web of Science databases were systematically searched for relevant studies from the inception of each database to May 10, 2023. All articles focusing the triple combination treatment of HAIC-FO plus TKI and ICIs for advanced HCC were eligible. The meta-analysis was conducted following the PRISMA guidelines. The risk of bias was assessed using the Joanna Briggs Institute (JBI) for case series and Newcastle-Ottawa Scale (NOS) for cohort studies. The primary outcomes were overall survival (OS), progression-free survival (PFS), objective response rate (ORR) and disease control rate (DCR). The secondary results were adverse events. Further meta-analysis of control studies demonstrated the superiority of the triple combination modality to TKI plus ICIs, and TKI alone.ResultsNine articles (four cohort studies and five one-arm studies) involving 777 advanced HCC patients were included in this meta-analysis. In terms of survival analysis, the pooled median PFS was 11 months (95% CI: 10.1-12.0 months) with low heterogeneity (I2 = 0%, p = 0.97). With regard to tumor response, the pooled ORR and DCR was 61.6% (I2=0%, p = 0.71) and 87.9% (I2 = 13%, p = 0.33) with low heterogeneity, respectively. As compared with TKIs plus ICIs, and TKIs alone, the triple combination thrapy was associated with improved median OS (HR=0.51, 95%CI 0.41-0.62) with low heterogeneity across studies (I2 = 0%, p = 0.47), median PFS (HR=0.51, 95%CI 0.41-0.64) with low heterogeneity across studies (I2 = 0%, p = 0.41), ORR (RR = 0.56, 95% CI: 0.42-0.74) with high heterogeneity across studies (I2 = 69%, p = 0.02), and DCR (RR = 0.38, 95%CI 0.27-0.54) with low heterogeneity across studies (I2 = 14%, p = 0.32). The most common 3/4 AEs were elevated ALT and AST, thrombocytopenia, hypertension, nausea and vomiting in this meta-analysis.ConclusionsThe triple combination therapy of HAIC-FO plus TKI and ICIs showed promising efficacy and safety in patients with advanced HCC.RegistrationThe protocol was registered with PROSPERO (ID:CRD42023424281).

Dataset Information

Effect of galectin-1 on prognosis and responsiveness of immune checkpoint plus tyrosine kinase inhibition in renal cell carcinoma.

Background

Methods

Results

Conclusions

Publications

Effect of galectin-1 on prognosis and responsiveness of immune checkpoint plus tyrosine kinase inhibition in renal cell carcinoma.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets