Patient-Derived Triple-Negative Breast Cancer Organoids Provide Robust Model Systems That Recapitulate Tumor Intrinsic Characteristics

Triple-negative breast cancer (TNBC) is an aggressive form of breast cancer with poor patient outcomes, highlighting the unmet clinical need for targeted therapies and better model systems. Here, we developed and comprehensively characterized a diverse biobank of normal and breast cancer patient-derived organoids (PDO) with a focus on TNBCs. PDOs recapitulated patient tumor intrinsic properties and a subset of PDOs can be propagated for long-term culture (LT-TNBC). Single cell profiling of PDOs identified cell types and gene candidates affiliated with different aspects of cancer progression. The LT-TNBC organoids exhibit signatures of aggressive MYC-driven, basal-like breast cancers and are largely comprised of luminal progenitor (LP)-like cells. The TNBC LP-like cells are distinct from normal LPs and exhibit hyperactivation of NOTCH and MYC signaling. Overall, this study validates TNBC PDOs as robust models for understanding breast cancer biology and progression, paving the way for personalized medicine and tailored treatment options. Significance: A comprehensive analysis of patient-derived organoids of TNBC provides insights into cellular heterogeneity and mechanisms of tumorigenesis at the single-cell level

Ossifying Fibromyxoid Tumor of the Breast Mimicking Fibroadenoma A Case Report and Differential Diagnoses

An 80-year-old woman presented with a palpable mass in the right breast. Mammographic findings were consistent with calcified fibroadenoma. An ultrasound was performed that showed a solid nodule with peripheral calcification. A core biopsy was obtained that revealed a spindle cell proliferation with a shell of mature bone. The histologic features, in combination with immunohistochemical studies, were those of an ossifying fibromyxoid tumor. Complete excision of the specimen further confirmed the diagnosis. To the best of our knowledge, this is the first reported case of ossifying fibromyxoid tumor occurring in the breast. We review the current literature on ossifying fibromyxoid tumor and discuss the differential diagnoses when confronted with bland spindle cells on a core biopsy of the breast

Smoking and alcohol drinking effect on radiotherapy associated risk of second primary cancer and mortality among breast cancer patients

© 2018 Elsevier Ltd Background: Smoking and alcohol consumption are potential risk factors for breast cancer (BC) and may modify the risk of radiotherapy-associated second primary cancer (SPC) occurrence and total mortality. We explored the joint effect of smoking, or alcohol drinking, and radiotherapy on the risk of SPC and overall mortality among BC survivals. Methods: We conducted a cancer registry-based study of 10,676 BC cases (stage 0-III) with data on smoking and alcohol consumption at time of diagnosis and clinical and therapeutics characteristics. Multivariable Cox proportional hazard models were used to estimate Hazard Ratios [HRs] and 95% confidence interval [CI] of total and site-specific SPC and mortality adjusting for demographic and cancer related characteristics. Results: The SPC risk associated with radiotherapy was higher among ever-smokers than never-smokers (p for interaction = 0.04). Compared to never-smokers/unirradiated, the adjusted HR for ever-smokers/irradiated was 1.79 (95%CI, 1.43–2.23), and for never-smokers/irradiated was 1.31 (95%CI, 1.06–1.63). Analysis by cancer site showed that for ever-smokers/irradiated the risk for hematological, gastrointestinal, gynecological urological and lung/pulmonary cancer was significantly increased by two to five-fold. Mortality was significantly higher for ever-smokers/irradiated (HR = 1.25; 95%CI, 1.06–1.47), but was lower for never-smokers/irradiated (HR = 0.85; 95%CI, 0.73–0.99). Alcohol consumption did not alter the association between radiotherapy and SPC risk, but was associated with lower mortality risk. Conclusion: Patients who received radiotherapy and smoked before or at time of BC diagnosis have an increased risk for specific SPCs; drinking alcohol did not alter the effect of radiotherapy. Smoking significantly increased mortality risk reducing the protective effect of radiotherapy treatment

MaTAR25 lncRNA regulates the Tensin1 gene to impact breast cancer progression

Misregulation of long non-coding RNA (lncRNA) genes has been linked to a wide variety of cancer types. Here we report on Mammary Tumor Associated RNA 25 (MaTAR25), a nuclear enriched and chromatin associated lncRNA that plays a role in mammary tumor cell proliferation, migration, and invasion, both in vitro and in vivo. MaTAR25 functions by interacting with purine rich element binding protein B (PURB), and associating with a major downstream target gene Tensin1 (Tns1) to regulate its expression in trans. The Tns1 protein product is a critical component of focal adhesions linking signaling between the extracellular matrix and the actin cytoskeleton. Knockout of MaTAR25 results in down-regulation of Tns1 leading to a reorganization of the actin cytoskeleton, and a reduction of focal adhesions and microvilli. We identify LINC01271 as the human ortholog of MaTAR25, and importantly, increased expression of LINC01271 is associated with poor patient prognosis and metastasis. Our findings demonstrate that LINC01271 represents a potential therapeutic target to alter breast cancer progression

Comprehensive analysis of structural variants in breast cancer genomes using single-molecule sequencing

Improved identification of structural variants (SVs) in cancer can lead to more targeted and effective treatment options as well as advance our basic understanding of the disease and its progression. We performed whole-genome sequencing of the SKBR3 breast cancer cell line and patient-derived tumor and normal organoids from two breast cancer patients using Illumina/10x Genomics, Pacific Biosciences (PacBio), and Oxford Nanopore Technologies (ONT) sequencing. We then inferred SVs and large-scale allele-specific copy number variants (CNVs) using an ensemble of methods. Our findings show that long-read sequencing allows for substantially more accurate and sensitive SV detection, with between 90% and 95% of variants supported by each long-read technology also supported by the other. We also report high accuracy for long reads even at relatively low coverage (25×-30×). Furthermore, we integrated SV and CNV data into a unifying karyotype-graph structure to present a more accurate representation of the mutated cancer genomes. We find hundreds of variants within known cancer-related genes detectable only through long-read sequencing. These findings highlight the need for long-read sequencing of cancer genomes for the precise analysis of their genetic instability