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1.
Cell ; 186(25): 5620-5637.e16, 2023 12 07.
Artigo em Inglês | MEDLINE | ID: mdl-38065082

RESUMO

Colorectal cancer exhibits dynamic cellular and genetic heterogeneity during progression from precursor lesions toward malignancy. Analysis of spatial multi-omic data from 31 human colorectal specimens enabled phylogeographic mapping of tumor evolution that revealed individualized progression trajectories and accompanying microenvironmental and clonal alterations. Phylogeographic mapping ordered genetic events, classified tumors by their evolutionary dynamics, and placed clonal regions along global pseudotemporal progression trajectories encompassing the chromosomal instability (CIN+) and hypermutated (HM) pathways. Integrated single-cell and spatial transcriptomic data revealed recurring epithelial programs and infiltrating immune states along progression pseudotime. We discovered an immune exclusion signature (IEX), consisting of extracellular matrix regulators DDR1, TGFBI, PAK4, and DPEP1, that charts with CIN+ tumor progression, is associated with reduced cytotoxic cell infiltration, and shows prognostic value in independent cohorts. This spatial multi-omic atlas provides insights into colorectal tumor-microenvironment co-evolution, serving as a resource for stratification and targeted treatments.


Assuntos
Neoplasias Colorretais , Instabilidade de Microssatélites , Microambiente Tumoral , Humanos , Instabilidade Cromossômica/genética , Neoplasias Colorretais/patologia , Perfilação da Expressão Gênica , Quinases Ativadas por p21/genética , Filogenia , Mutação , Progressão da Doença , Prognóstico
2.
Cell ; 184(26): 6262-6280.e26, 2021 12 22.
Artigo em Inglês | MEDLINE | ID: mdl-34910928

RESUMO

Colorectal cancers (CRCs) arise from precursor polyps whose cellular origins, molecular heterogeneity, and immunogenic potential may reveal diagnostic and therapeutic insights when analyzed at high resolution. We present a single-cell transcriptomic and imaging atlas of the two most common human colorectal polyps, conventional adenomas and serrated polyps, and their resulting CRC counterparts. Integrative analysis of 128 datasets from 62 participants reveals adenomas arise from WNT-driven expansion of stem cells, while serrated polyps derive from differentiated cells through gastric metaplasia. Metaplasia-associated damage is coupled to a cytotoxic immune microenvironment preceding hypermutation, driven partly by antigen-presentation differences associated with tumor cell-differentiation status. Microsatellite unstable CRCs contain distinct non-metaplastic regions where tumor cells acquire stem cell properties and cytotoxic immune cells are depleted. Our multi-omic atlas provides insights into malignant progression of colorectal polyps and their microenvironment, serving as a framework for precision surveillance and prevention of CRC.


Assuntos
Pólipos do Colo/patologia , Neoplasias Colorretais/patologia , Microambiente Tumoral , Imunidade Adaptativa , Adenoma/genética , Adenoma/patologia , Adulto , Idoso , Animais , Carcinogênese/genética , Carcinogênese/patologia , Morte Celular , Diferenciação Celular , Pólipos do Colo/genética , Pólipos do Colo/imunologia , Neoplasias Colorretais/genética , Neoplasias Colorretais/imunologia , Progressão da Doença , Feminino , Regulação Neoplásica da Expressão Gênica , Redes Reguladoras de Genes , Heterogeneidade Genética , Humanos , Masculino , Camundongos , Pessoa de Meia-Idade , Mutação/genética , Células-Tronco Neoplásicas/metabolismo , Células-Tronco Neoplásicas/patologia , RNA-Seq , Reprodutibilidade dos Testes , Análise de Célula Única , Microambiente Tumoral/imunologia
3.
Clin Cancer Res ; 24(9): 2092-2099, 2018 05 01.
Artigo em Inglês | MEDLINE | ID: mdl-29490987

RESUMO

Purpose: Colorectal cancer is the third most common cancer worldwide, causing approximately 700,000 deaths each year. The majority of colorectal cancers begin as adenomas. Definitive screening for colorectal adenomas is currently accomplished through colonoscopy but, owing largely to costs and invasiveness, is typically limited to patient groups at higher risk by virtue of age or family history. We sought to determine if blood-based small RNA markers could detect colorectal adenoma.Experimental Design: We applied high-depth small RNA sequencing to plasma from a large (n = 189) cohort of patients, balanced for age, sex, and ancestry. Our analytical methodology allowed for the detection of both microRNAs and other small RNA species. We replicated sequencing results by qPCR on plasma samples from an independent cohort (n = 140).Results: We found several small RNA species with significant associations to colorectal adenoma, including both microRNAs and non-microRNA small RNAs. These associations were robust to correction for patient covariates, including age. Among the adenoma-associated small RNAs, two, a miR-335-5p isoform and an un-annotated small RNA, were validated by qPCR in an independent cohort. A classifier trained on measures of these two RNAs in the discovery cohort yields an AUC of 0.755 (0.775 with age) for adenoma detection in the independent cohort. This classifier accurately detects adenomas in patients under 50 and is robust to sex or ancestry.Conclusions: Circulating small RNAs (including but not limited to miRNAs) discovered by sequencing and validated by qPCR identify patients with colorectal adenomas effectively. Clin Cancer Res; 24(9); 2092-9. ©2018 AACR.


Assuntos
Adenoma/sangue , Adenoma/genética , Biomarcadores Tumorais , Ácidos Nucleicos Livres , Neoplasias Colorretais/sangue , Neoplasias Colorretais/genética , Pequeno RNA não Traduzido/sangue , Pequeno RNA não Traduzido/genética , Adenoma/diagnóstico , Neoplasias Colorretais/diagnóstico , Biologia Computacional/métodos , Perfilação da Expressão Gênica , Regulação Neoplásica da Expressão Gênica , Sequenciamento de Nucleotídeos em Larga Escala , Humanos , Curva ROC , Reprodutibilidade dos Testes
4.
Oncotarget ; 8(5): 8226-8238, 2017 Jan 31.
Artigo em Inglês | MEDLINE | ID: mdl-28030809

RESUMO

Breast cancer is a heterogeneous disease comprised of four molecular subtypes defined by whether the tumor-originating cells are luminal or basal epithelial cells. Breast cancers arising from the luminal mammary duct often express estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth receptor 2 (HER2). Tumors expressing ER and/or PR are treated with anti-hormonal therapies, while tumors overexpressing HER2 are targeted with monoclonal antibodies. Immunohistochemical detection of ER, PR, and HER2 receptors/proteins is a critical step in breast cancer diagnosis and guided treatment. Breast tumors that do not express these proteins are known as "triple negative breast cancer" (TNBC) and are typically basal-like. TNBCs are the most aggressive subtype, with the highest mortality rates and no targeted therapy, so there is a pressing need to identify important TNBC tumor regulators. The signal transducer and activator of transcription 3 (STAT3) transcription factor has been previously implicated as a constitutively active oncogene in TNBC. However, its direct regulatory gene targets and tumorigenic properties have not been well characterized. By integrating RNA-seq and ChIP-seq data from 2 TNBC tumors and 5 cell lines, we discovered novel gene signatures directly regulated by STAT3 that were enriched for processes involving inflammation, immunity, and invasion in TNBC. Functional analysis revealed that STAT3 has a key role regulating invasion and metastasis, a characteristic often associated with TNBC. Our findings suggest therapies targeting STAT3 may be important for preventing TNBC metastasis.


Assuntos
Movimento Celular , Regulação Neoplásica da Expressão Gênica , Genoma Humano , Fator de Transcrição STAT3/genética , Transcriptoma , Neoplasias de Mama Triplo Negativas/genética , Linhagem Celular Tumoral , Feminino , Perfilação da Expressão Gênica , Humanos , Invasividade Neoplásica , Metástase Neoplásica , Ligação Proteica , Interferência de RNA , Fator de Transcrição STAT3/metabolismo , Transdução de Sinais , Transfecção , Neoplasias de Mama Triplo Negativas/metabolismo , Neoplasias de Mama Triplo Negativas/patologia
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