A TMPRSS2-ERG gene signature predicts prognosis of patients with prostate adenocarcinoma

Artemisia argyi extracts overcome lapatinib resistance via enhancing TMPRSS2 activation in HER2-positive breast cancer

Breast cancer stands as the predominant malignancy and primary cause of cancer-related mortality among females globally. Approximately 25% of breast cancers exhibit HER2 overexpression, imparting a more aggressive tumor phenotype and correlating with poor prognoses. Patients with metastatic breast cancer receiving HER2 tyrosine kinase inhibitors (HER2 TKIs), such as Lapatinib, develop acquired resistance within a year, posing a critical challenge in managing this disease. Here, we explore the potential of Artemisia argyi, a Chinese herbal medicine known for its anti-cancer properties, in mitigating HER2 TKI resistance in breast cancer. Analysis of the Cancer Genome Atlas (TCGA) revealed diminished expression of transmembrane serine protease 2 (TMPRSS2), a subfamily of membrane proteolytic enzymes, in breast cancer patients, correlating with unfavorable outcomes. Intriguingly, lapatinib-responsive patients exhibited higher TMPRSS2 expression. Our study unveiled that the compounds from Artemisia argyi, eriodictyol, and umbelliferone could inhibit the growth of lapatinib-resistant HER2-positive breast cancer cells. Mechanistically, they suppressed HER2 kinase activation by enhancing TMPRSS2 activity. Our findings propose TMPRSS2 as a critical determinant in lapatinib sensitivity, and Artemisia argyi emerges as a potential agent to overcome lapatinib via activating TMPRSS2 in HER2-positive breast cancer. This study not only unravels the molecular mechanisms driving cell death in HER2-positive breast cancer cells induced by Artemisia argyi but also lays the groundwork for developing novel inhibitors to enhance therapy outcomes.

Individualized detection of TMPRSS2-ERG fusion status in prostate cancer: a rank-based qualitative transcriptome signature

BACKGROUND

TMPRSS2-ERG (T2E) fusion is highly related to aggressive clinical features in prostate cancer (PC), which guides individual therapy. However, current fusion prediction tools lacked enough accuracy and biomarkers were unable to be applied to individuals across different platforms due to their quantitative nature. This study aims to identify a transcriptome signature to detect the T2E fusion status of PC at the individual level.

METHODS

Based on 272 high-throughput mRNA expression profiles from the Sboner dataset, we developed a rank-based algorithm to identify a qualitative signature to detect T2E fusion in PC. The signature was validated in 1223 samples from three external datasets (Setlur, Clarissa, and TCGA).

RESULTS

A signature, composed of five mRNAs coupled to ERG (five ERG-mRNA pairs, 5-ERG-mRPs), was developed to distinguish T2E fusion status in PC. 5-ERG-mRPs reached 84.56% accuracy in Sboner dataset, which was verified in Setlur dataset (n = 455, accuracy = 82.20%) and Clarissa dataset (n = 118, accuracy = 81.36%). Besides, for 495 samples from TCGA, two subtypes classified by 5-ERG-mRPs showed a higher level of significance in various T2E fusion features than subtypes obtained through current fusion prediction tools, such as STAR-Fusion.

CONCLUSIONS

Overall, 5-ERG-mRPs can robustly detect T2E fusion in PC at the individual level, which can be used on any gene measurement platform without specific normalization procedures. Hence, 5-ERG-mRPs may serve as an auxiliary tool for PC patient management.

A Novel Nomogram for Identifying the Patients at Risk for Rapid Progression of Advanced Hormone-Sensitive Prostate Cancer

Purpose

The goal of this study was to assess the prognostic impact of the lower urinary tract symptoms (LUTS) in advanced prostate cancer (PCa) patients before progression to castration-resistant prostate cancer (CRPC).

Methods

A retrospective analysis of the follow-up data for 152 CRPC patients was performed. Severe LUTS symptom was defined as an International Prostate Symptoms Score (IPSS) ≥20 at baseline. Cox regression analysis was conducted to assess CRPC prognostic factors. Nomogram model was created and assessed using the concordance index (C-index), calibration curves, receiver operating characteristic (ROC) curves, and decision curve analyses (DCA).

Results

The median CRPC free survival of patients with severe LUTS was 20.5 months, significantly longer than that (7.5 months) of less symptomatic patients. Furthermore, severe LUTS, the hemoglobin, albumin, lymphocyte, and platelet (HALP) score, and Gleason sum were determined to be independent prognostic markers and combined to establish a nomogram, which performed well in the customized prediction of CRPC progression at 6th, 12th, 18th and 24th month. The C-index (0.794 and 0.816 for the training and validation cohorts, respectively), calibration curve, and ROC curve all validated the prediction accuracy. DCA curve showed that it could be effective in helping doctors make judgments. The Nomogram-related risk score separated the patients into two groups with notable progression differences.

Conclusion

Severe LUTS was significantly associated with decreased risk for rapid progression to CRPC. The developed nomogram could help identify patients who are at a high risk of rapid CRPC progression and provide tailored follow-up and therapeutic advice.

miR-4482 and miR-3912 aim for 3'UTR of ERG mRNA in prostate cancer

Ets-related gene (ERG) is overexpressed as a fusion protein in prostate cancer. During metastasis, the pathological role of ERG is associated with cell proliferation, invasion, and angiogenesis. Here, we hypothesized that miRNAs regulate ERG expression through its 3'UTR. Several bioinformatics tools were used to identify miRNAs and their binding sites on 3'UTR of ERG. The selected miRNAs expression was analyzed in prostate cancer samples by qPCR. The miRNAs overexpression was induced in prostate cancer cells (VCaP) to analyze ERG expression. Reporter gene assay was performed to evaluate the ERG activity in response to selected miRNAs. The expression of ERG downstream target genes was also investigated through qPCR after miRNAs overexpression. To observe the effects of selected miRNAs on cell proliferation and migration, scratch assay was performed to calculate the cell migration rate. miR-4482 and miR-3912 were selected from bioinformatics databases. miR-4482 and -3912 expression were decreased in prostate cancer samples, as compared to controls (p<0.05 and p<0.001), respectively. Overexpression of miR-4482 and miR-3912 significantly reduced ERG mRNA (p<0.001 and p<0.01), respectively) and protein (p<0.01) in prostate cancer cells. The transcriptional activity of ERG was significantly reduced (p<0.01) in response to miR-4482 and-3912. ERG angiogenic targets and cell migration rate was also reduced significantly (p<0.001) after miR-4482 and -3912 over-expression. This study indicates that miR-4482 and -3912 can suppress the ERG expression and its target genes, thereby, halt prostate cancer progression. These miRNAs may be employed as a potential therapeutic target for the miRNA-based therapy against prostate cancer.

Prostatın benign, prekürsör ve malign epitelyal proliferasyonlarında ERG ile PTEN ekspresyonlarının araştırılması ve bulguların klinikopatolojik korelasyonu

Amaç: Prostat kanseri farklı klinik gidişata ve geniş bir tedavi yelpazesine sahip, klinik ve moleküler olarak oldukça heterojen bir kanser türüdür. Özellikle “prostatik intraepitelyal neoplazi” (PİN), “atipik intraduktal proliferasyon” (AİP) ve “intraduktal karsinom” (İDK) benzer morfolojik özelliklere sahip olması açısından ayırıcı tanı zorluğu yaratan tanılar olup, hasta tedavi ve takibi de farklı olan antitelerdir. Çalışmamızda bu lezyonlarda ERG ve PTEN ekspresyon düzeylerini belirlemeyi ve bu biyobelirteçlerin prognostik ve diagnostik değerini araştırmayı amaçladık. Gereç ve Yöntem: EÜTF Tıbbi Patoloji Anabilim Dalında 2011-2012 yılında radikal prostatektomi veya iğne biyopsi materyallerinde “Adenokarsinom” tanısı almış 87 olgu çalışmaya alındı. Histopatolojik olarak AİP, İDK ve PİN içeren alanlar belirlendi. immunohistokimyasal olarak bu alanlarda ERG ve PTEN ekspresyonları değerlendirildi.Bulgular: Olguların 6’sında İDK, 29’unda AİP ve 52’sinde PİN belirlendi. İDK AİP, DG 3 ve üstünde olan tümörlerde daha fazla görüldü. İDK ve AİP in eşlik ettiği prostat karsinomlarının sağ kalım süresi daha kısaydı (p=0.043). İDK ve AİP içeren tümörlerde ERG ve PTEN durumu invaziv komponentle uyum içindeydi. Ayrıca tüm İDK alanlarında ERG pozitifti. PTEN ile heterojen boyanma görülmüş olup, PTEN’in invaziv karsinom ve İDK alanlarında negatifliği daha fazlaydı (p=0,63). ERG pozitifliği ve PTEN negatifliği istatistiksel olarak anlamlı olmamakla birlikte AİP tanısını desteklediği dikkati çekti.Sonuç: Özellikle ayırıcı tanı sorunu yaratan intraduktal lezyonlarda ERG pozitifliği ve PTEN negatifliği klinik öneme sahip prostat karsinomuna eşlik edebileceği için özellikle biyopsilerde gözardı edilmemeli ve hasta tedavi ile takibi buna göre yapılmalıdır.  

ETS-related Gene (ERG) is Differentially Expressed in Dermatofibroma (Fibrous Histiocytoma) as Compared With Dermatofibrosarcoma Protuberans and Hypertrophic Scars: A Pilot Immunohistochemical Study

Immunohistochemical staining can be of great utility in differentiating various cutaneous spindle cell neoplasms, particularly when the histomorphologic appearance of the lesions is inconclusive. Nuclear staining for ETS-related gene (ERG), a highly sensitive endothelial cell marker, has seldom been studied in the context of cutaneous spindle cell neoplasms. Little is known about its specificity for vascular differentiation. In this pilot study, immunohistochemical analysis for ERG was performed on 15 dermatofibromas (DF), 10 keloids, and 9 dermatofibrosarcoma protuberans (DFSP) tumors. Consistent nuclear expression of ERG was found in DF [100% (15/15) of the lesions demonstrated >50% labeling of tumor cells with moderate to strong intensity]. However, ERG expression was largely absent in DFSP [89% (8/9) of the lesions demonstrating <50% labeling staining, generally of mild intensity] and hypertrophic scars-keloids [80% (8/10) without expression]. On the basis of the results of this pilot study, immunohistochemical staining for ERG may prove useful in helping to differentiate DF from DFSP and hypertrophic scars in the context of partial biopsy sampling. If replicated in a larger number of samples, this finding could mitigate the use of costly sequencing panels and potentially avoid unnecessary reexcisions in certain contexts.

Tumor cell intrinsic and extrinsic features predict prognosis in estrogen receptor positive breast cancer

Although estrogen-receptor-positive (ER+) breast cancer is generally associated with favorable prognosis, clinical outcome varies substantially among patients. Genomic assays have been developed and applied to predict patient prognosis for personalized treatment. We hypothesize that the recurrence risk of ER+ breast cancer patients is determined by both genomic mutations intrinsic to tumor cells and extrinsic immunological features in the tumor microenvironment. Based on the Cancer Genome Atlas (TCGA) breast cancer data, we identified the 72 most common genomic aberrations (including gene mutations and indels) in ER+ breast cancer and defined sample-specific scores that systematically characterized the deregulated pathways intrinsic to tumor cells. To further consider tumor cell extrinsic features, we calculated immune infiltration scores for six major immune cell types. Many individual intrinsic features are predictive of patient prognosis in ER+ breast cancer, and some of them achieved comparable accuracy with the Oncotype DX assay. In addition, statistical learning models that integrated these features predicts the recurrence risk of patients with significantly better performance than the Oncotype DX assay (our optimized random forest model AUC = 0.841, Oncotype DX model AUC = 0.792, p = 0.04). As a proof-of-concept, our study indicates the great potential of genomic and immunological features in prognostic prediction for improving breast cancer precision medicine. The framework introduced in this work can be readily applied to other cancers.

Chromosome compartmentalization alterations in prostate cancer cell lines model disease progression

Prostate cancer aggressiveness and metastatic potential are influenced by gene expression and genomic aberrations, features that can be influenced by the 3D structure of chromosomes inside the nucleus. Using chromosome conformation capture (Hi-C), we conducted a systematic genome architecture comparison on a cohort of cell lines that model prostate cancer progression, from normal epithelium to bone metastasis. We describe spatial compartment identity (A-open versus B-closed) changes with progression in these cell lines and their relation to gene expression changes in both cell lines and patient samples. In particular, 48 gene clusters switch from the B to the A compartment, including androgen receptor, WNT5A, and CDK14. These switches are accompanied by changes in the structure, size, and boundaries of topologically associating domains (TADs). Further, compartment changes in chromosome 21 are exacerbated with progression and may explain, in part, the genesis of the TMPRSS2-ERG translocation. These results suggest that discrete 3D genome structure changes play a deleterious role in prostate cancer progression. .