RESUMO
Bladder cancer (BC) is the 10th most common cancer worldwide, with about 0.5 million reported new cases and about 0.2 million deaths per year. In this scoping review, we summarize the current evidence regarding the clinical implications of single-cell sequencing for bladder cancer based on PRISMA guidelines. We searched PubMed, CENTRAL, Embase, and supplemented with manual searches through the Scopus, and Web of Science for published studies until February 2023. We included original studies that used at least one single-cell technology to study bladder cancer. Forty-one publications were included in the review. Twenty-nine studies showed that this technology can identify cell subtypes in the tumor microenvironment that may predict prognosis or response to immune checkpoint inhibition therapy. Two studies were able to diagnose BC by identifying neoplastic cells through single-cell sequencing urine samples. The remaining studies were mainly a preclinical exploration of tumor microenvironment at single cell level. Single-cell sequencing technology can discriminate heterogeneity in bladder tumor cells and determine the key molecular properties that can lead to the discovery of novel perspectives on cancer management. This nascent tool can advance the early diagnosis, prognosis judgment, and targeted therapy of bladder cancer.
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Carcinoma de Células de Transição , Neoplasias da Bexiga Urinária , Humanos , Carcinoma de Células de Transição/tratamento farmacológico , Carcinoma de Células de Transição/patologia , Neoplasias da Bexiga Urinária/diagnóstico , Neoplasias da Bexiga Urinária/genética , Neoplasias da Bexiga Urinária/terapia , Prognóstico , Microambiente Tumoral/genéticaRESUMO
BACKGROUND: Triple-negative breast cancer (TNBC) is a subtype of breast cancer with high tumoral heterogeneity, while the detailed regulatory network is not well known. METHODS: Via single-cell RNA-sequencing (scRNA-seq) data analysis, we comprehensively investigated the transcriptional profile of different subtypes of TNBC epithelial cells with gene regulatory network (GRN) and alternative splicing (AS) event analysis, as well as the crosstalk between epithelial and non-epithelial cells. RESULTS: Of note, we found that luminal progenitor subtype exhibited the most complex GRN and splicing events. Besides, hnRNPs negatively regulates AS events in luminal progenitor subtype. In addition, we explored the cellular crosstalk among endothelial cells, stromal cells and immune cells in TNBC and discovered that NOTCH4 was a key receptor and prognostic marker in endothelial cells, which provide potential biomarker and target for TNBC intervention. CONCLUSIONS: In summary, our study elaborates on the cellular heterogeneity of TNBC, revealing that NOTCH4 in endothelial cells was critical for TNBC intervention. This in-depth understanding of epithelial cell and non-epithelial cell network would provide theoretical basis for the development of new drugs targeting this sophisticated network in TNBC.
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Neoplasias de Mama Triplo Negativas , Humanos , Neoplasias de Mama Triplo Negativas/genética , Células Endoteliais , Processamento Alternativo , Biologia Computacional , Análise de Sequência de RNARESUMO
SUMMARY OBJECTIVE: In multicentric/multifocal breast tumors, there may be immunological and histological differences between foci that may affect survival and treatment choice. We aimed to evaluate the effect of focal heterogeneity seen in multicentric/multifocal breast tumors on survival. METHODS: We retrospectively collected and analyzed the clinicopathological data of 89 female patients with multifocal/multicentric breast cancer, whose surgical and medical treatment was completed and who were followed up for 5 years. RESULTS: Of all patients, 29.2% (26/89) were heterogeneous. Heterogeneity of these foci was as follows: histologic heterogeneity of index foci (mix type): 15.7% (14/89), histologic heterogeneity of inter-foci: 7.9% (7/89), and immunohistochemical heterogeneity of inter-foci: 10.1% (9/89). When additional foci were evaluated, oncological therapy was changed for 3 (3.3%) of 89 patients. Heterogeneity does not have a significant (p>0.05) effect on recurrence and survival in multicentric/multifocal breast cancers. Pathological N stage is an independent risk factor for disease-free survival (hazard ratio=2.29, 95% confidence interval=1.39-3.76, p=0.001). CONCLUSIONS: In multifocal/multicentric breast cancers, less than 4% of patients may experience heterogeneity requiring change in the therapeutic decision. However, heterogeneity does not have a significant effect on recurrence and survival in multifocal/multicentric breast cancers. The pathological N stage is an independent risk factor for disease-free survival.
RESUMO
Tumor heterogeneity is the concept that different tumor cells provide distinct biomorphological lesions, gene expressions, proliferation, microenvironment and graduated capacity of metastatic lesions. Brain tumor heterogeneity has been recently discussed about the interesting interaction of chronic inflammation, microenvironment, epigenetics and glioma steam cells. Brain tumors remain a challenge with regards to medication and disease, due to the lack of treatment options and unsatisfactory results. These results might be the result of the brain tumor heterogeneity and its multiple resistance mechanisms to chemo and radiotherapy.
Assuntos
Células-Tronco Neoplásicas/citologia , Neoplasias Encefálicas/genética , Heterogeneidade Genética , Perfilação da Expressão Gênica , Glioma/genética , Receptores Proteína Tirosina Quinases/genética , Resistencia a Medicamentos Antineoplásicos/genética , Nicho de Células-Tronco/genética , Microambiente Tumoral , Evolução Clonal/genética , Microambiente Celular/genética , RNA-SeqRESUMO
Prostate cancer is one of the main causes of cancer and the sixth cause of death among men worldwide. One of the major challenges in prostate cancer research is cell heterogeneity defined as the different genomic and phenotypic characteristics in each individual cell making more difficult to assess the proper prostate cancer diagnosis and therapy. Tumor 3D spatial arrangement allow a strong interaction between the different cellular lineages and components which modulate cell proliferation, differentiation, and morphology. Prostate cancer spheroids are a cellular model which is capable to mimic the mechanical tensions of tumor tissue, providing a more representative pathophysiological model than the use of conventional 2D culture. Here, we describe a protocol to develop a 3D model of spheroids using prostate cancer cell lines (LNCaP, PC3, VCaP) which can be used to improve research considering tumoral heterogeneity role in cancer development, prognosis, and therapy.
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Neoplasias da Próstata/patologia , Esferoides Celulares/patologia , Linhagem Celular Tumoral , Humanos , Masculino , Células PC-3RESUMO
Due to their superb light absorption and photostability conjugated polymer nanoparticles are promising photosensitizers (PS) for their use in Photodynamic therapy (PDT). Recently, we developed metallated porphyrin-doped conjugated polymer nanoparticles (CPNs) for PDT that efficiently eliminate tumor cells through reactive oxygen species (ROS) mediated photoinduced damage of apoptotic nature. These nanoaggregates act as densely packed multi-chromophoric systems having exceptional light harvesting and (intra-particle) energy transfer capabilities which lead to efficient photosensitized formation of ROS. In general, three key components; light, PS, and oxygen; are considered in the prediction of the PDT outcome. However, recent studies led to the discovery of a profound genetic heterogeneity among glioblastoma (GBM) cells which include the adaptation to ROS. Thus, tumor heterogeneity and their associated difference in sensitivity to ROS-producing therapeutic agents must be considered in the design of PDT protocols for the prediction of its outcome. In this study, anticancer activity through ROS-mediated PDT using CPNs was compared in three GBM cell lines with different initial redox status. T98G cells were the most effective incorporating nanoparticles but also were the most resistant to CPN-PDT effect. In part, this feature could be attributed to the differential basal and PDT-induced antioxidant enzyme levels found in these cells measured by gene expression analysis. Furthermore, considering that cell-specific antioxidant enzyme status is a significant feature of GBM heterogeneity, establishing its correlation with CPN-PDT outcome might be important for designing novel and improved CPN-based treatments.
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Glioblastoma/patologia , Nanomedicina/métodos , Nanopartículas , Fotoquimioterapia/métodos , Polímeros/química , Polímeros/farmacologia , Apoptose/efeitos dos fármacos , Apoptose/efeitos da radiação , Linhagem Celular Tumoral , Humanos , Oxirredução , Espécies Reativas de Oxigênio/metabolismoRESUMO
PURPOSE: Expression microarrays are powerful technology that allows large-scale analysis of RNA profiles in a tissue; these platforms include underexploited detection scores outputs. We developed an algorithm using the detection score, to generate a detection profile of shared elements in retinoblastoma as well as to determine its transcriptomic size and structure. METHODS: We analyzed eight briefly cultured primary retinoblastomas with the Human transcriptome array 2.0 (HTA2.0). Transcripts and genes detection scores were determined using the Detection Above Background algorithm (DABG). We used unsupervised and supervised computational tools to analyze detected and undetected elements; WebGestalt was used to explore functions encoded by genes in relevant clusters and performed experimental validation. RESULTS: We found a core cluster with 7,513 genes detected and shared by all samples, 4,321 genes in a cluster that was commonly absent, and 7,681 genes variably detected across the samples accounting for tumor heterogeneity. Relevant pathways identified in the core cluster relate to cell cycle, RNA transport, and DNA replication. We performed a kinome analysis of the core cluster and found 4 potential therapeutic kinase targets. Through analysis of the variably detected genes, we discovered 123 differentially expressed transcripts between bilateral and unilateral cases. CONCLUSIONS: This novel analytical approach allowed determining the retinoblastoma transcriptomic size, a shared active transcriptomic core among the samples, potential therapeutic target kinases shared by all samples, transcripts related to inter tumor heterogeneity, and to determine transcriptomic profiles without the need of control tissues. This approach is useful to analyze other cancer or tissue types.
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Neoplasias da Retina/genética , Retinoblastoma/genética , Algoritmos , Pré-Escolar , Éxons , Feminino , Perfilação da Expressão Gênica , Genes do Retinoblastoma , Genoma Humano , Humanos , Lactente , Masculino , Família Multigênica , Fosfotransferases/genética , Fosfotransferases/metabolismo , Neoplasias da Retina/enzimologia , Retinoblastoma/enzimologia , Transcriptoma , Células Tumorais CultivadasRESUMO
Glioblastoma (GBM) is one of the most aggressive cancers, with median survival of less than 2 years. Despite of considerable advance in molecular classification of GBMs, no improvements in therapy have been described. The scenario is further complicated by tumor heterogeneity and the relationship among genetic, transcriptional and functional findings. Classically, gene expression has been evaluated by steady-state mRNA, however, this does not take translational control into consideration, which contributes considerably to the composition of the proteome. In this study, we evaluated the transcriptomic and translatomic signature of a GBM obtained from a single patient focusing in tumor heterogeneity. In a sampling of eight fragments, we investigated the translation rates, mTORC1 and ERK1/2 pathways and identified both total and polysome associated mRNAs. An increased translation rate was observed in fragments with high-grade histological features. High-grade histology was also associated with the expression of genes related to extracellular matrix (ECM) and angiogenesis, in both transcriptomes and translatomes. However, genes associated with epithelial to mesenchymal transition and stress response, were observed only in translatomes from high-grade fragments. Overall, our results demonstrate that isolation of translated mRNA can be used to identify biomarkers and reveal previously unrecognized determinants of heterogeneity in GBMs.
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Neoplasias do Sistema Nervoso Central/genética , Perfilação da Expressão Gênica , Regulação Neoplásica da Expressão Gênica , Glioblastoma/genética , Linhagem Celular Tumoral , Neoplasias do Sistema Nervoso Central/patologia , MAP Quinases Reguladas por Sinal Extracelular/genética , Feminino , Glioblastoma/patologia , Humanos , Alvo Mecanístico do Complexo 1 de Rapamicina/genética , Pessoa de Meia-Idade , Biossíntese de Proteínas , RNA Mensageiro/genéticaRESUMO
AIMS: Access to tissue in patients with hepatocellular carcinoma (HCC) is limited compared to other malignancies, particularly at advanced stages. This has precluded a thorough characterisation of molecular drivers of HCC dissemination, particularly in relation to distant metastases. Biomarker assessment is restricted to early stages, and paired primary-metastatic comparisons between samples from the same patient are difficult. METHODS AND RESULTS: We report the evaluation of 88 patients with HCC who underwent autopsy, including multiregional sampling of primary and metastatic sites totalling 230 nodules analysed. The study included morphological assessment, immunohistochemistry and mutation status of the TERT promoter, the most frequently mutated gene in HCC. We confirm a strong predilection of HCC for lung dissemination, including subclinical micrometastases (unrecognised during imaging and macroscopic examinations) in 30% of patients with disseminated disease. Size of dominant tumour nodule; multinodularity; macrovascular invasion; high histological, nuclear and architectural grades; and cellular crowding were associated with the presence of extrahepatic metastasis. Among the immunohistochemistry markers tested, metastatic nodules had significantly higher K19 and EpCAM expression than primary liver tumours. Morphological and immunohistochemical features showed that metastatic HCC could be traced back to the primary tumour, sometimes to a specific hepatic nodule. CONCLUSIONS: This study suggests limited heterogeneity in metastatic sites compared to primary tumour sites.
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Carcinoma Hepatocelular/genética , Carcinoma Hepatocelular/secundário , Heterogeneidade Genética , Neoplasias Hepáticas/genética , Neoplasias Hepáticas/patologia , Idoso , Autopsia , Biomarcadores Tumorais/análise , Brasil , Diferenciação Celular , Estudos de Coortes , Molécula de Adesão da Célula Epitelial/biossíntese , Feminino , Imunofluorescência , Humanos , Modelos Logísticos , Neoplasias Pulmonares/secundário , Masculino , Pessoa de Meia-Idade , Mutação , Metástase Neoplásica , Fenótipo , Telomerase/genéticaRESUMO
BACKGROUND: The intrinsic heterogeneity of hepatocellular carcinoma (HCC) represents a great challenge for its molecular classification and for detecting predictive biomarkers. Aldo-keto reductase (Akr) family members have shown differential expression in human HCC, while AKR1B10 overexpression is considered a biomarker; AKR7A3 expression is frequently reduced in HCC. AIMS: To investigate the time-course expression of Akr members in the experimental hepatocarcinogenesis. METHODS: Using DNA-microarray data, we analyzed the time-course gene expression profile from nodules to tumors (4-17 months) of 17 Akr members induced by the resistant hepatocyte carcinogenesis model in the rat. RESULTS: The expression of six members (Akr1c19, Akr1b10, Akr7a3, Akr1b1, Akr1cl1, and Akr1b8) was increased, comparable to that of Ggt and Gstp1, two well-known liver cancer markers. In particular, Akr7a3 and Akr1b10 expression also showed a time-dependent increment at mRNA and protein levels in a second hepatocarcinogenesis model induced with diethylnitrosamine. We confirmed that aldo-keto reductases 7A3 and 1B10 were co-expressed in nine biopsies of human HCC, independently from the presence of glypican-3 and cytokeratin-19, two well-known HCC biomarkers. Because it has been suggested that expression of Akr members is regulated through NRF2 activity at the antioxidant response element (ARE) sequences, we searched and identified at least two ARE sites in Akr1b1, Akr1b10, and Akr7a3 from rat and human gene sequences. Moreover, we observed higher NRF2 nuclear translocation in tumors as compared with non-tumor tissues. CONCLUSIONS: Our results demonstrate that Akr7a3 mRNA and protein levels are consistently co-expressed along with Akr1b10, in both experimental liver carcinogenesis and some human HCC samples. These results highlight the presence of AKR7A3 and AKR1B10 from early stages of the experimental HCC and introduce them as a potential application for early diagnosis, staging, and prognosis in human cancer.