Fibronectin-1: A Predictive Immunotherapy Response Biomarker for Muscle‑Invasive Bladder Cancer

BACKGROUND

Muscle-invasive bladder cancer (MIBC) is characterized as bladder tumors that infiltrate into the muscle layer, along with multiple metastasis and poor prognosis. Numerous research studies have been performed to identify the underlying clinical and pathological alterations that occur. However, few studies have revealed the molecular mechanism of its progression based upon the immunotherapy response. Our present study was designed to identify biomarkers which may predict the immunotherapy response by investigating the tumor microenvironment (TME) in MIBC.

METHODS

The transcriptome and clinical data of MIBC patients were obtained and analyzed with R version 4.0.3 (POSIT Software, Boston, MA, USA) ESTIMATE package. Differentially expressed immune-related genes (DEIRGs) were identified and further analyzed via the protein-protein interaction network (PPI). Meanwhile, univariate Cox analysis was utilized to screen out the prognostic DEIRGs (PDEIRGs). Then, the PPI core gene was matched with PDEIRGs to obtain the target gene-fibronectin-1 (FN1). Human MIBC and control tissues were collected and FN1 was measured with Quantitative Reverse Transcription PCR (qRT-PCR) and Western-Blot. Finally, the relationship between FN1 expression level and MIBC was validated through survival, univariate Cox, multivariate Cox, Gene Set Enrichment Analysis (GSEA) and correlation analysis of tumor infiltrating immune cells.

RESULTS

TME DEIRGs were identified and the target gene FN1 was obtained. The higher expression of FN1 was confirmed in MIBC tissues via bioinformatics analysis, qRT-PCR and Western-Blot. Moreover, higher FN1 expression correlated with reduced survival time and FN1 expression was further favorably correlated with clinic-pathological features (grade, TNM stage, invasion, lymphatic and distant metastasis). Additionally, the genes in the high FN1 expression group were mainly enriched in immune-related activities and macrophage M2, T cell CD4, T cell CD8 and T cell follicular helper cells were correlated with FN1. Finally, it was observed that FN1 was closely related to key immune checkpoints.

CONCLUSIONS

FN1 was identified as a novel and independent prognostic factor for MIBC. Our data also suggests FN1 can predict MIBC patients' response to immune checkpoints inhibitors.

Maternal whole blood mRNA signatures identify women at risk of early preeclampsia: a longitudinal study

PURPOSE

To determine whether previously established mRNA signatures are predictive of early preeclampsia when evaluated by maternal cellular transcriptome analysis in samples collected before clinical manifestation.

MATERIALS AND METHODS

We profiled gene expression at exon-level resolution in whole blood samples collected longitudinally from 49 women with normal pregnancy (controls) and 13 with early preeclampsia (delivery <34 weeks of gestation). After preprocessing and removal of gestational age-related trends in gene expression, data were converted into Z-scores based on the mean and standard deviation among controls for six gestational-age intervals. The average Z-scores of mRNAs in each previously established signature considered herein were compared between cases and controls at 9-11, 11-17, 17-22, 22-28, 28-32, and 32-34 weeks of gestation.Results: (1) Average expression of the 16-gene untargeted cellular mRNA signature was higher in women diagnosed with early preeclampsia at 32-34 weeks of gestation, yet more importantly, also prior to diagnosis at 28-32 weeks and 22-28 weeks of gestation, compared to controls (all, p < .05). (2) A combination of four genes from this signature, including a long non-protein coding RNA [H19 imprinted maternally expressed transcript (H19)], fibronectin 1 (FN1), tubulin beta-6 class V (TUBB6), and formyl peptide receptor 3 (FPR3) had a sensitivity of 0.85 (0.55-0.98) and a specificity of 0.92 (0.8-0.98) for prediction of early preeclampsia at 22-28 weeks of gestation. (3) H19, FN1, and TUBB6 were increased in women with early preeclampsia as early as 11-17 weeks of gestation (all, p < .05). (4) After diagnosis at 32-34 weeks, but also prior to diagnosis at 11-17 weeks, women destined to have early preeclampsia showed a coordinated increase in whole blood expression of several single-cell placental signatures, including the 20-gene signature of extravillous trophoblast (all, p < .05). (5) A combination of three mRNAs from the extravillous trophoblast signature (MMP11, SLC6A2, and IL18BP) predicted early preeclampsia at 11-17 weeks of gestation with a sensitivity of 0.83 (0.52-0.98) and specificity of 0.94 (0.79-0.99).

CONCLUSIONS

Circulating early transcriptomic markers for preeclampsia can be found either by untargeted profiling of the cellular transcriptome or by focusing on placental cell-specific mRNAs. The untargeted cellular mRNA signature was consistently increased in early preeclampsia after 22 weeks of gestation, and individual mRNAs of this signature were significantly increased as early as 11-17 weeks of gestation. Several single-cell placental signatures predicted future development of the disease at 11-17 weeks and were also increased in women already diagnosed at 32-34 weeks of gestation.

Circulating Tumor Cells and Fibronectin 1 in the Prognosis of Nasopharyngeal Carcinoma

Objective:

Nasopharyngeal carcinoma is highly endemic in Southeast China. Circulating tumor cell is an important biomarker in the prognosis of variety kinds of cancers. Overexpression of fibronectin 1 was observed in variety kinds of malignancies and may contribute to progress and metastasis of the cancers. The current study was aimed to investigate phenotypes of circulating tumor cell in nasopharyngeal carcinoma blood and fibronectin 1 expression in the circulating tumor cell, and their clinical application in predicting nasopharyngeal carcinoma prognosis.

Methods:

Blood samples were obtained from nasopharyngeal carcinoma patients before and after treatment. CanPatrol circulating tumor cell enrichment and RNA in situ hybridization were applied to identify circulating tumor cell and its phenotypes. Fibronectin 1 messenger RNA expression in the cells of circulating tumors was examined by messenger RNA-in situ hybridization.

Results:

Circulating tumor cell was not associated with tumor characteristics or lymph node metastasis. Patients with >9 circulating tumor cells or >5 mesenchymal phenotype circulating tumor cell per 5-mL blood had poorer progression-free survival (P < .05). Multivariable analysis demonstrated that 2 or more mesenchymal phenotype circulating tumor cells with high fibronectin 1 messenger RNA expression predicted shorter progression-free survival (P < .05).

Conclusions:

Circulating tumor cells with high-level fibronectin 1 expression was associated with poor survival in patients with nasopharyngeal carcinoma and could be an independent prognostic factor for nasopharyngeal carcinoma.