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Immune and stromal scoring system associated with tumor microenvironment and prognosis: a gene-based multi-cancer analysis.
Zeng, Zihang; Li, Jiali; Zhang, Jianguo; Li, Yangyi; Liu, Xingyu; Chen, Jiarui; Huang, Zhengrong; Wu, Qiuji; Gong, Yan; Xie, Conghua.
Afiliação
  • Zeng Z; Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Li J; Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Zhang J; Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Li Y; Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Liu X; Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Chen J; Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Huang Z; Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Wu Q; Tumor Precision Diagnosis and Treatment Technology and Translational Medicine, Hubei Engineering Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Gong Y; Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Xie C; Hubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, China.
J Transl Med ; 19(1): 330, 2021 08 03.
Article em En | MEDLINE | ID: mdl-34344410
ABSTRACT

BACKGROUND:

Tumor microenvironment (TME) is associated with tumor progression and prognosis. Previous studies provided tools to estimate immune and stromal cell infiltration in TME. However, there is still a lack of single index to reflect both immune and stromal status associated with prognosis and immunotherapy responses.

METHODS:

A novel immune and stromal scoring system named ISTMEscore was developed. A total of 15 datasets were used to train and validate this system, containing 2965 samples from lung adenocarcinoma, skin cutaneous melanoma and head and neck squamous cell carcinoma.

RESULTS:

The patients with high immune and low stromal scores (HL) were associated with low ratio of T cell co-inhibitory/stimulatory molecules and low levels of angiogenesis markers, while the patients with low immune and high stromal scores (LH) had the opposite characteristics. The HL patients had immune-centered networks, while the patients with low immune and low stromal scores (LL) had desert-like networks. Moreover, copy number alteration burden was decreased in the HL patients. For the clinical characteristics, our TME classification was an independent prognostic factor. In the 5 cohorts with immunotherapy, the LH patients were linked to the lowest response rate.

CONCLUSIONS:

ISTMEscore system could reflect the TME status and predict the prognosis. Compared to previous TME scores, our ISTMEscore was superior in the prediction of prognosis and immunotherapy response.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Neoplasias de Cabeça e Pescoço / Neoplasias Pulmonares / Melanoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Transl Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Neoplasias de Cabeça e Pescoço / Neoplasias Pulmonares / Melanoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Transl Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China