Stratification by Mutational Landscape Reveals Differential Immune Infiltration and Predicts the Recurrence and Clinical Outcome of Cervical Cancer

Authors

Qian Zhou (ORCID: https://orcid.org/0000-0002-1828-4879)
Yafei Huang (ORCID: https://orcid.org/0000-0002-1711-2354)
Ximiao He (ORCID: https://orcid.org/0000-0003-1253-5275)
Yifan Yang (ORCID: https://orcid.org/0000-0001-9127-168X)
Hui Wang (ORCID: https://orcid.org/0000-0001-6789-5185)
Qing He (ORCID: https://orcid.org/0000-0002-4172-1547)
Hong Liu (ORCID: https://orcid.org/0000-0001-7064-6411)
Li‐Ting Liu (ORCID: https://orcid.org/0000-0002-7641-4774)
Chun Gao (ORCID: https://orcid.org/0000-0002-6438-2103)
Shen Qu

Institutions

Tongji University (CN)
Women's Hospital, School of Medicine, Zhejiang University (CN)
Tongji Hospital (CN)
Huazhong University of Science and Technology (CN)

Publication Details

Journal: Phenomics
Published: 2025-03-19
DOI: https://doi.org/10.1007/s43657-024-00158-w
Citations: 2
Primary Topic: Cancer-related molecular mechanisms research
Type: article
Field-Weighted Citation Impact: 1.87

Funders

National Natural Science Foundation of China
National Key Research and Development Program of China

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article

Stratification by Mutational Landscape Reveals Differential Immune Infiltration and Predicts the Recurrence and Clinical Outcome of Cervical Cancer

Qian Zhou, Yafei Huang, Ximiao He, Yifan Yang et al.

Mar 19, 2025

2 citations

Phenomics

Cancer-related molecular mechanisms research

1.87

article

Stratification by Mutational Landscape Reveals Differential Immune Infiltration and Predicts the Recurrence and Clinical Outcome of Cervical Cancer

Qian Zhou, Yafei Huang, Ximiao He, Yifan Yang, Hui Wang, Qing He, Hong Liu, Li‐Ting Liu, Chun Gao, Shen Qu

March 19, 2025article en

2 citations

Abstract

No abstract available for this paper.

PhenomicsVol. 5(4)

Tongji University (CN), Women's Hospital, School of Medicine, Zhejiang University (CN), Tongji Hospital (CN), Huazhong University of Science and Technology (CN)

National Natural Science Foundation of China, National Key Research and Development Program of China

Openalex Percentile: Top 16%

Cancer-related molecular mechanisms research

1.87

DOI Open Access PDF OpenAlex

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