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References
- Anderson, N.R., et al., 2021. Macrophage-based approaches for cancer immunotherapy. Cancer Research, 81 (5), 1–8.
- Cerami, E., et al., 2012. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discovery, 2 (5), 401–404.
- Gowhari, S.A., et al., 2021. CXC chemokine ligand 16: a Swiss army knife chemokine in cancer. Expert Reviews in Molecular Medicine, 23, e4.
- House, I.G., et al., 2020. Macrophage-derived CXCL9 and CXCL10 are required for antitumor immune responses following immune checkpoint blockade. Clinical Cancer Research: An Official Journal of the American Association for Cancer Research, 26 (2), 487–504.
- Kitamura, T. and Pollard, J.W., 2015. Therapeutic potential of chemokine signal inhibition for metastatic breast cancer. Pharmacological Research, 100, 266–270.
- Lánczky, A. and Győrffy, B., 2021. Web-based survival analysis tool tailored for medical Research (KMplot): development and implementation. Journal of Medical Internet Research, 23 (7), e27633.
- Lewis, C.E. and Pollard, J.W., 2006. Distinct role of macrophages in different tumor microenvironments. Cancer Research, 66 (2), 605–612.
- Li, H., Wu, X. and Cheng, X., 2016. Advances in diagnosis and treatment of metastatic cervical cancer. Journal of Gynecologic Oncology, 27 (4), e43.
- Liao, W., et al., 2023. Diagnostic, prognostic, and immunological roles of CD177 in cervical cancer. Journal of Cancer Research and Clinical Oncology, 149 (1), 173–189.
- Liu, C.J., et al., 2022. GSCA: an integrated platform for gene set cancer analysis at genomic, pharmacogenomic and immunogenomic levels. Brief Bioinform, 24 (1), bbac558.
- Marcovecchio, P.M., Thomas, G. and Salek-Ardakani, S., 2021. CXCL9-expressing tumor-associated macrophages: new players in the fight against cancer. Journal for Immunotherapy of Cancer, 9 (2), e002045.
- Märkl, F., et al., 2022. Utilizing chemokines in cancer immunotherapy. Trends in Cancer, 8 (8), 670–682.
- Najafi, M., et al., 2019. Macrophage polarity in cancer: A review. Journal of Cellular Biochemistry, 120 (3), 2756–2765.
- Ozga, A.J., Chow, M.T. and Luster, A.D., 2021. Chemokines and the immune response to cancer. Immunity, 54 (5), 859–874.
- Propper, D.J. and Balkwill, F.R., 2022. Harnessing cytokines and chemokines for cancer therapy. Nature Reviews. Clinical Oncology, 19 (4), 237–253.
- Qian, B.Z. and Pollard, J.W., 2010. Macrophage diversity enhances tumor progression and metastasis. Cell, 141 (1), 39–51.
- Ru, B., et al., 2019. TISIDB: an integrated repository portal for tumor-immune system interactions. Bioinformatics, 35 (20), 4200–4202.
- Seitz, S., et al., 2022. CXCL9 inhibits tumour growth and drives anti-PD-L1 therapy in ovarian cancer. British Journal of Cancer, 126 (10), 1470–1480.
- Sun, D., et al., 2021. TISCH: a comprehensive web resource enabling interactive single-cell transcriptome visualization of tumor microenvironment. Nucleic Acids Research, 49 (D1), D1420–D1430.
- Szklarczyk, D., et al., 2019. STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Research, 47 (D1), D607–D613.
- Uhlen, M., et al., 2019. A genome-wide transcriptomic analysis of protein-coding genes in human blood cells. Science , 366 (6472), eaax9198.
- Verhaak, R., Bafna, V. and Mischel, P.S., 2019. Extrachromosomal oncogene amplification in tumour pathogenesis and evolution. Nature Reviews. Cancer, 19 (5), 283–288.
- Volkova, L.V., Pashov, A.I. and Omelchuk, N.N., 2021. Cervical carcinoma: oncobiology and biomarkers. International Journal of Molecular Sciences, 22 (22), 12571.
- Wang, S., et al., 2022. UCSCXenaShiny: an R/CRAN package for interactive analysis of UCSC Xena data. Bioinformatics , 38 (2), 527–529.
- Ward, Z.J., et al., 2020. The role and contribution of treatment and imaging modalities in global cervical cancer management: survival estimates from a simulation-based analysis. The Lancet. Oncology, 21 (8), 1089–1098.
- Warde-Farley, D., et al., 2010. The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function. Nucleic Acids Research, 38 (Web Server issue), W214–W220.
- Yunna, C., et al., 2020. Macrophage M1/M2 polarization. European Journal of Pharmacology, 877, 173090.
- Zhang, J., Zhou, X. and Hao, H., 2022. Macrophage phenotype-switching in cancer. European Journal of Pharmacology, 931, 175229.
- Zhang, Y., et al., 2021. Baseline immunity and impact of chemotherapy on immune microenvironment in cervical cancer. British Journal of Cancer, 124 (2), 414–424.