scholarly journals Predictive role of galectin-1 and integrin α5β1 in cisplatin-based neoadjuvant chemotherapy of bulky squamous cervical cancer

2017 ◽  
Vol 37 (5) ◽  
Author(s):  
Haiyan Zhu ◽  
Aixue Chen ◽  
Saisai Li ◽  
Xuejiao Tao ◽  
Bo Sheng ◽  
...  

Although galectin-1 and integrin α5β1 confer chemoresistance to certain types of cancer, whether their expression predicts the response to cisplatin-based neoadjuvant chemotherapy (NACT) in squamous cervical cancer remains unclear. Paired tumor samples (pre- and post-chemotherapy) were obtained from 35 bulky squamous cervical cancer patients treated with cisplatin-based NACT and radical hysterectomy at our hospital between January 2007 and August 2014. The expression of galectin-1 and integrin α5β1 in tumor cells and stromal cells was analyzed by immunohistochemistry. The correlation between galectin-1/integrin α5β1 and apoptosis-associated markers was investigated by using the The Cancer Genome Atlas (TCGA) RNA-sequencing data. Seventeen patients were identified as chemotherapy responders and 18 as non-responders. Galectin-1 and integrin α5β1-positive immunostaining was more frequently observed in stromal cells than its in tumor cells. The expression of galectin-1 and integrin α5β1 in stromal and tumor cells was significantly down-regulated in postchemotherapy cervical cancer tissues. High levels of galectin-1 and integrin α5β1 in stromal were associated with a negative chemotherapy response in squamous cervical cancer patients treated with cisplatin-based NACT. Additionally, the expression of galectin-1 and integrin α5 correlated negatively with caspase 3/caspase 8 by using the TCGA RNA-sequencing data. Galectin-1 and integrin α5β1 expression in stromal may serve as a prediction of the responses to cisplatin-based NACT for patients with bulky squamous cervical cancer. Galectin-1 and integrin α5β1 may be implicated in the development of chemoresistance in cervical cancer via suppressing apoptosis.

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Xu Yang ◽  
Geng-Xi Cai ◽  
Bo-Wei Han ◽  
Zhi-Wei Guo ◽  
Ying-Song Wu ◽  
...  

AbstractGene expression signatures have been used to predict the outcome of chemotherapy for breast cancer. The nucleosome footprint of cell-free DNA (cfDNA) carries gene expression information of the original tissues and thus may be used to predict the response to chemotherapy. Here we carried out the nucleosome positioning on cfDNA from 85 breast cancer patients and 85 healthy individuals and two cancer cell lines T-47D and MDA-MB-231 using low-coverage whole-genome sequencing (LCWGS) method. The patients showed distinct nucleosome footprints at Transcription Start Sites (TSSs) compared with normal donors. In order to identify the footprints of cfDNA corresponding with the responses to neoadjuvant chemotherapy in patients, we mapped on nucleosome positions on cfDNA of patients with different responses: responders (pretreatment, n = 28; post-1 cycle, post-3/4 cycles, and post-8 cycles of treatment, n = 12) and nonresponders (pretreatment, n = 10; post-1 cycle, post-3/4 cycles, and post-8 cycles of treatment, n = 10). The coverage depth near TSSs in plasma cfDNA differed significantly between responders and nonresponders at pretreatment, and also after neoadjuvant chemotherapy treatment cycles. We identified 232 TSSs with differential footprints at pretreatment and 321 after treatment and found enrichment in Gene Ontology terms such as cell growth inhibition, tumor suppressor, necrotic cell death, acute inflammatory response, T cell receptor signaling pathway, and positive regulation of vascular endothelial growth factor production. These results suggest that cfDNA nucleosome footprints may be used to predict the efficacy of neoadjuvant chemotherapy for breast cancer patients and thus may provide help in decision making for individual patients.


2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii110-ii110
Author(s):  
Christina Jackson ◽  
Christopher Cherry ◽  
Sadhana Bom ◽  
Hao Zhang ◽  
John Choi ◽  
...  

Abstract BACKGROUND Glioma associated myeloid cells (GAMs) can be induced to adopt an immunosuppressive phenotype that can lead to inhibition of anti-tumor responses in glioblastoma (GBM). Understanding the composition and phenotypes of GAMs is essential to modulating the myeloid compartment as a therapeutic adjunct to improve anti-tumor immune response. METHODS We performed single-cell RNA-sequencing (sc-RNAseq) of 435,400 myeloid and tumor cells to identify transcriptomic and phenotypic differences in GAMs across glioma grades. We further correlated the heterogeneity of the GAM landscape with tumor cell transcriptomics to investigate interactions between GAMs and tumor cells. RESULTS sc-RNAseq revealed a diverse landscape of myeloid-lineage cells in gliomas with an increase in preponderance of bone marrow derived myeloid cells (BMDMs) with increasing tumor grade. We identified two populations of BMDMs unique to GBMs; Mac-1and Mac-2. Mac-1 demonstrates upregulation of immature myeloid gene signature and altered metabolic pathways. Mac-2 is characterized by expression of scavenger receptor MARCO. Pseudotime and RNA velocity analysis revealed the ability of Mac-1 to transition and differentiate to Mac-2 and other GAM subtypes. We further found that the presence of these two populations of BMDMs are associated with the presence of tumor cells with stem cell and mesenchymal features. Bulk RNA-sequencing data demonstrates that gene signatures of these populations are associated with worse survival in GBM. CONCLUSION We used sc-RNAseq to identify a novel population of immature BMDMs that is associated with higher glioma grades. This population exhibited altered metabolic pathways and stem-like potentials to differentiate into other GAM populations including GAMs with upregulation of immunosuppressive pathways. Our results elucidate unique interactions between BMDMs and GBM tumor cells that potentially drives GBM progression and the more aggressive mesenchymal subtype. Our discovery of these novel BMDMs have implications in new therapeutic targets in improving the efficacy of immune-based therapies in GBM.


1994 ◽  
Vol 12 (11) ◽  
pp. 2309-2316 ◽  
Author(s):  
G Scambia ◽  
P Benedetti Panici ◽  
E Foti ◽  
M Amoroso ◽  
G Salerno ◽  
...  

PURPOSE The aim of the study was to investigate the role of squamous cell carcinoma antigen (SCC) in the management of patients with locally advanced cervical cancer treated by neoadjuvant chemotherapy and radical surgery. PATIENTS AND METHODS SCC assay was performed with a radioimmunoassay kit in a series of 102 patients with locally advanced cervical cancer. The values of 2.5, 5, and 7 ng/mL were used to define SCC antigen positivity. The chi 2 and Fisher's exact test and the stepwise logistic regression were used to evaluate the distribution of marker values. Analysis of survival was performed using the Kaplan and Meier test and Cox multivariate regression analysis. RESULTS SCC levels were elevated in 65%, 45%, and 32% of patients with primary tumors for cutoff values of 2.5, 5, and 7 ng/mL, respectively. SCC pretreatment levels correlated with stage, tumor volume and lymph node status. In the multivariate analysis, SCC expression proved to be an independent predictor of response to neoadjuvant chemotherapy. SCC posttreatment levels were strongly related to chemotherapy response. Moreover, the overall correlation between the clinical course of the disease and the variation of SCC levels was 83%. In patients with squamous cell tumors, survival was significantly longer in SCC-negative cases compared with SCC-positive cases (P = .04). Moreover, in patients undergoing surgery after response to neoadjuvant chemotherapy, low SCC values were associated with better prognosis (P = .02). In the multivariate analysis, parametrial involvement and SCC status proved to retain an independent prognostic value. CONCLUSION Our data show that SCC assay may provide useful information to improve the prognostic characterization and disease monitoring of patients with locally advanced cervical cancer undergoing neoadjuvant chemotherapy.


Author(s):  
Inna I. Antoneeva ◽  
Tatyana V. Abakumova ◽  
Dinara R. Dolgova ◽  
Tatyana P. Gening ◽  
Sabina S. Pirmamedova ◽  
...  

2014 ◽  
Author(s):  
Daniel Nicorici ◽  
Mihaela Satalan ◽  
Henrik Edgren ◽  
Sara Kangaspeska ◽  
Astrid Murumagi ◽  
...  

FusionCatcher is a software tool for finding somatic fusion genes in paired-end RNA-sequencing data from human or other vertebrates. FusionCatcher achieves competitive detection rates and real-time PCR validation rates in RNA-sequencing data from tumor cells. FusionCatcher is available at http://code.google.com/p/fusioncatcher


2020 ◽  
Vol 67 (2) ◽  
pp. 219-229
Author(s):  
Saya Nagasawa ◽  
Kazuhiro Ikeda ◽  
Kuniko Horie-Inoue ◽  
Sho Sato ◽  
Satoru Takeda ◽  
...  

2020 ◽  
Vol 11 ◽  
Author(s):  
Javier Valdés-Ferrada ◽  
Natalia Muñoz-Durango ◽  
Alejandra Pérez-Sepulveda ◽  
Sabrina Muñiz ◽  
Irenice Coronado-Arrázola ◽  
...  

PLoS ONE ◽  
2016 ◽  
Vol 11 (3) ◽  
pp. e0149872 ◽  
Author(s):  
Patrizia Vici ◽  
Simonetta Buglioni ◽  
Domenico Sergi ◽  
Laura Pizzuti ◽  
Luigi Di Lauro ◽  
...  

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