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Purpose: Rhabdomyosarcoma (RMS) exhibits a complex prognostic algorithm based on histologic, biologic and clinical parameters. The embryonal (ERMS) and spindle cell-sclerosing RMS (SRMS) histologic subtypes warrant further studies due to their heterogenous genetic background and variable clinical behavior. NanoString digital profiling methods have been previously highlighted as robust novel methods to detect protein and microRNA expression in several cancers but not in RMS.
Methods/patients: To identify prognostic biomarkers, we categorized 12 ERMS and SRMS tumor cases into adverse ( = 5) or favorable ( = 7) prognosis groups and analyzed their signaling pathways and microRNA profiles. The digital spatial profiling of protein and microRNA analysis was performed on formalin-fixed, paraffin-embedded (FFPE) tumor tissue using NanoString technology.
Results: The detectable expression of several component members of the PI3K/AKT, MAPK and apoptosis signaling pathways was highlighted in RMS, including INPP4B, Pan-AKT, MET, Pan-RAS, EGFR, phospho-p90 RSK, p44/42 ERK1/2, BAD, BCL-XL, cleaved caspase-9, NF1, PARP and p53. Compared to cases with favorable prognosis, the adverse-prognosis tumor samples had significantly increased expression of INPP4B, which was confirmed with traditional immunohistochemistry. The analysis of microRNA profiles revealed that, out of 798 microRNAs assessed, 228 were overexpressed and 134 downregulated in the adverse prognosis group. Significant over-expression of oncogenic/tumor suppressor miR-3144-3p, miR-612, miR-302d-3p, miR-421, miR-548ar-5p and miR-548y ( < 0.05) was noted in the adverse prognosis group.
Conclusion: This study highlights the utility of NanoString digital profiling methods in RMS, where it can detect distinct molecular signatures with the expression of signaling pathways and microRNAs from FFPE tumor tissue that may help identify prognostic biomarkers of interest. The overexpression of INPP4B and miR-3144-3p, miR-612, miR-302d-3p, miR-421, miR-548y and miR-548ar-5p may be associated with worse overall survival in ERMS and SRMS.
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http://dx.doi.org/10.3390/cancers14030522 | DOI Listing |
JID Innov
November 2025
Department of Dermatology, Graduate School of Medicine, Osaka University, Suita, Japan.
Previous studies have revealed that skin T cells accumulate and maintain immune responses in the elderly. However, we questioned why these functional T cells fail to recognize and eliminate malignant cells, making elderly skin more prone to developing malignant tumors. To address this question, we examined the overall skin microenvironment in aging using the Nanostring nCounter system and 10x Xenium digital spatial RNA sequencing.
View Article and Find Full Text PDFmedRxiv
August 2025
Department of Medicine, University of Chicago, Chicago, IL, USA.
Deep learning models applied to digital histology can predict gene expression signatures (GES) and offer a low-cost, rapidly available alternative to molecular testing at the time of diagnosis. We optimized transformer-based models to infer GES results and applied this approach to pre-treatment H&E-stained biopsies from 1,940 breast cancer patients treated with neoadjuvant chemotherapy in clinical trial and real-world cohorts. The most predictive histology-derived GES for pathologic complete response (pCR) in the I-SPY2 trial was validated in four external cohorts: CALGB 40601, CALGB 40603, a trial of durvalumab plus CT, and standard-of-care CT-treated patients from the University of Chicago.
View Article and Find Full Text PDFActa Neuropathol
September 2025
Department of Laboratory Medicine and Pathology, University of Washington, 325 9th Ave, Seattle, WA, 98104, USA.
Early onset familial Alzheimer's disease (EOFAD) is rare compared to sporadic AD, but dominant variants in genes involved in amyloid β (Aβ) processing are well-described. One such variant is in the presenilin 2 (PSEN2) gene, N141I, and was first described in a family with Volga German descent. Separately, individuals with Down syndrome (DS) are also at risk for early onset AD, having an extra copy of an amyloid precursor protein gene.
View Article and Find Full Text PDFMod Pathol
September 2025
Department of Pathology, NYU Langone Health, New York, NY 10016, USA. Electronic address:
Dermatofibrosarcoma protuberans (DFSP) is a neoplasm of the dermis with a tendency for aggressive local growth and recurrence. A minority of DFSP cases may transform into higher-grade sarcoma (fibrosarcomatous transformation, FST-DFSP) which is associated with more aggressive behavior and risk of metastasis. The histologic diagnosis of FST-DFSP may be challenging, particularly in small biopsies.
View Article and Find Full Text PDFFront Oncol
August 2025
Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Background: The standard treatment for early-stage triple-negative breast cancer (TNBC) is neoadjuvant chemotherapy (NAC) followed by surgery, but patients with residual disease have worse outcomes. We investigated genetic alterations related to recurrence using spatial transcriptomic analyses of residual tumors from patients who had and had not relapsed after NAC for early-stage TNBC.
Methods: Thirteen patients who underwent curative resection after NAC for early-stage TNBC, six of whom experienced recurrence, were included.