Tumor-myeloid cell interactions are dynamic and influence the evolutionary trajectory of adult diffuse glioma (2021)
- Authors:
- Autor USP: NOUSHMEHR, HOUTAN - FMRP
- Unidade: FMRP
- DOI: 10.1158/1538-7445.AM2021-2169
- Subjects: GLIOMA; DERIVA GÊNICA; SISTEMA IMUNE; SEQUENCIAMENTO GENÉTICO
- Language: Inglês
- Imprenta:
- Publisher place: Philadelphia
- Date published: 2021
- Source:
- Título: Cancer Research
- ISSN: 0008-5472
- Volume/Número/Paginação/Ano: v. 81, n. 13, suppl., res. 2169, 2021
- Conference titles: AACR Annual Meeting 2021
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
VARN, Frederick et al. Tumor-myeloid cell interactions are dynamic and influence the evolutionary trajectory of adult diffuse glioma. Cancer Research. Philadelphia: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1158/1538-7445.AM2021-2169. Acesso em: 20 fev. 2026. , 2021 -
APA
Varn, F., Johnson, K. C., Barthel, F. P., Kim, H., Wade, T., Lodha, D., et al. (2021). Tumor-myeloid cell interactions are dynamic and influence the evolutionary trajectory of adult diffuse glioma. Cancer Research. Philadelphia: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1158/1538-7445.AM2021-2169 -
NLM
Varn F, Johnson KC, Barthel FP, Kim H, Wade T, Lodha D, Ajaib S, Ahmed N, Garofano L, D'Angelo F, Stead L, Noushmehr H, Iavarone A, Verhaak R. Tumor-myeloid cell interactions are dynamic and influence the evolutionary trajectory of adult diffuse glioma [Internet]. Cancer Research. 2021 ; 81( 13):[citado 2026 fev. 20 ] Available from: https://doi.org/10.1158/1538-7445.AM2021-2169 -
Vancouver
Varn F, Johnson KC, Barthel FP, Kim H, Wade T, Lodha D, Ajaib S, Ahmed N, Garofano L, D'Angelo F, Stead L, Noushmehr H, Iavarone A, Verhaak R. Tumor-myeloid cell interactions are dynamic and influence the evolutionary trajectory of adult diffuse glioma [Internet]. Cancer Research. 2021 ; 81( 13):[citado 2026 fev. 20 ] Available from: https://doi.org/10.1158/1538-7445.AM2021-2169 - TCGA workflow: analyze cancer genomics and epigenomics data using bioconductor packages [version 2; referees: 1 approved, 2 approved with reservations]
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Informações sobre o DOI: 10.1158/1538-7445.AM2021-2169 (Fonte: oaDOI API)
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