Jardim DL, de Melo GD, Giles FJ, Kurzrock R. Analysis of drug development paradigms for immune checkpoint inhibitors. Clin Cancer Res. 2018;24(8):1785–94.
Article
CAS
Google Scholar
Banna GL, Passiglia F, Colonese F, et al. Immune-checkpoint inhibitors in non-small cell lung cancer: a tool to improve patients’ selection. Crit Rev Oncol Hematol. 2018;129:27–39.
Article
Google Scholar
Kunimasa K, Goto T. Immunosurveillance and immunoediting of lung cancer: current perspectives and challenges. Int J Mol Sci. 2020;21(2):597.
Article
CAS
Google Scholar
Suzuki K, Kachala SS, Kadota K, et al. Prognostic immune markers in non–small cell lung cancer. Clin Cancer Res. 2011;17(16):5247–56.
Article
CAS
Google Scholar
Bremnes RM, Busund LT, Kilvær TL, et al. The role of tumor-infiltrating lymphocytes in development, progression, and prognosis of non–small cell lung cancer. J Thorac Oncol. 2016;11(6):789–800.
Article
Google Scholar
Brambilla E, Le Teuff G, Marguet S, et al. Prognostic effect of tumor lymphocytic infiltration in resectable non–small-cell lung cancer. J Clin Oncol. 2016;34(11):1223.
Article
CAS
Google Scholar
Donnem T, Hald SM, Paulsen EE, et al. Stromal CD8+ T-cell density, a promising supplement to TNM staging in non–small cell lung cancer. Clin Cancer Res. 2015;21(11):2635–43.
Article
Google Scholar
Mascaux C, Angelova M, Vasaturo A, et al. Immune evasion before tumour invasion in early lung squamous carcinogenesis. Nature. 2019;571(7766):570–5.
Article
CAS
Google Scholar
Liu H, Zhang T, Ye J, et al. Tumor-infiltrating lymphocytes predict response to chemotherapy in patients with advance non-small cell lung cancer. Cancer Immunol Immunother. 2012;61:1849–56.
Article
CAS
Google Scholar
Kim HJ, Cantor H. CD4 T-cell subsets and tumor immunity: the helpful and the not-so-helpful. Cancer Immunol Res. 2014;2:91–8.
Article
CAS
Google Scholar
Perez-Diez A, Joncker NT, Choi K, et al. CD4 cells can be more efficient at tumor rejection than CD8 cells. Blood. 2007;109:5346–54.
Article
CAS
Google Scholar
Borst J, Ahrends T, Bąbała N, et al. CD4+ T cell help in cancer immunology and immunotherapy. Nat Rev Immunol. 2018;18(10):635–47.
Article
CAS
Google Scholar
Ahrends T, Spanjaard A, Pilzecker B, et al. CD4+ T cell help confers a cytotoxic T cell effector program including coinhibitory receptor downregulation and increased tissue invasiveness. Immunity. 2017;47(5):848–61.
Article
CAS
Google Scholar
Galon J, Bruni D. Tumor immunology and tumor evolution: intertwined histories. Immunity. 2020;52(1):55–81.
Article
CAS
Google Scholar
Wakabayashi O, Yamazaki K, Oizumi S, Hommura F, Kinoshita I, Ogura S, et al. CD4+ T cells in cancer stroma, not CD8+ T cells in cancer cell nests, are associated with favorable prognosis in human non-small cell lung cancers. Cancer Sci. 2003;94:1003–9.
Article
CAS
Google Scholar
Borg C, Ray-Coquard I, Philip I, et al. CD4 lymphopenia as a risk factor for febrile neutropenia and early death after cytotoxic chemotherapy in adult patients with cancer. Cancer. 2004;101:2675–80.
Article
Google Scholar
Péron J, Cropet C, Tredan O, et al. L. CD4 lymphopenia to identify end-of-life metastatic cancer patients. Eur J Cancer. 2013;49(5):1080–9.
Article
Google Scholar
Laheurte C, Dosset M, Vernerey D, et al. Distinct prognostic value of circulating anti-telomerase CD4+ Th1 immunity and exhausted PD-1+/TIM-3+ T cells in lung cancer. Br J Cancer. 2019;121(5):405–16.
Article
CAS
Google Scholar
Picard E, Godet Y, Laheurte C, et al. Circulating NKp46+ natural killer cells have a potential regulatory property and predict distinct survival in non-small cell lung Cancer. Oncoimmunology. 2019;8(2):e1527498.
Article
Google Scholar
Travis WD, Brambilla E, Rami-Porta R, et al. Visceral pleural invasion: pathologic criteria and use of elastic stains: proposal for the 7th edition of the TNM classification for lung cancer. J Thorac Oncol. 2008;3:1384–90.
Article
Google Scholar
Reimann KA, O'Gorman MR, Spritzler J, et al. Multisite comparison of CD4 and CD8 T lymphocyte counting by single- versus multiple-platform methodologies: evaluation of Beckman coulter flow-count fluorospheres and the tetraONE system. The NIAID DAIDS new technologies evaluation group. Clin Diagn Lab Immunol. 2000;7:344–51.
Article
CAS
Google Scholar
D'Hautcourt JL, Girotto M, Lawry J, et al. Lymphocyte subset reference values in peripheral blood: European survey. Biol Cell. 1992;76:279.
Google Scholar
Ray-Coquard I, Cropet C, Van Glabbeke M, et al. Lymphopenia as a prognostic factor for overall survival in advanced carcinomas, sarcomas, and lymphomas. Cancer Res. 2009;69(13):5383–91.
Article
CAS
Google Scholar
Fridman WH, Pages F, Sautes-Fridman C, Galon J. The immune contexture in human tumours: impact on clinical outcome. Nat Rev Cancer. 2012;12(4):298–306.
Article
CAS
Google Scholar
Engelhard V, Conejo-Garcia JR, Ahmed R, et al. B cells and cancer. Cancer Cell. 2021;39(10):1293–6.
Article
CAS
Google Scholar
Ben Khelil M, Godet Y, Abdeljaoued S, Borg C, Adotévi O, Loyon R. Harnessing antitumor CD4+ T cells for Cancer immunotherapy. Cancers. 2022;14(1):260.
Article
CAS
Google Scholar
Iseki Y, Shibutani M, Maeda K, et al. The impact of the preoperative peripheral lymphocyte count and lymphocyte percentage in patients with colorectal cancer. Surg Today. 2017;47(6):743–54.
Article
CAS
Google Scholar
Kennedy R, Celis E. Multiple roles for CD4+ T cells in anti-tumor immune responses. Immunol Rev. 2008;222(1):129–44.
Article
CAS
Google Scholar
Friedman KM, Prieto PA, Devillier LE, et al. Tumor-specific CD4+ melanoma tumor-infiltrating lymphocytes. J Immunother. 2012;35(5):400.
Article
CAS
Google Scholar
Bruni D, Angell HK, Galon J. The immune contexture and Immunoscore in cancer prognosis and therapeutic efficacy. Nat Rev Cancer. 2020;20(11):662–80.
Article
CAS
Google Scholar
Prelaj A, Tay R, Ferrara R, et al. Predictive biomarkers of response for immune checkpoint inhibitors in non–small-cell lung cancer. Eur J Cancer. 2019;106:144–59.
Article
CAS
Google Scholar
Guiguet M, Boué F, Cadranel J, et al. Effect of immunodeficiency, HIV viral load, and antiretroviral therapy on the risk of individual malignancies (FHDH-ANRS CO4): a prospective cohort study. Lancet Oncol. 2009;10(12):1152–9.
Article
CAS
Google Scholar
Spitzer MH, Carmi Y, Reticker-Flynn NE, Kwe et al. Systemic immunity is required for effective cancer immunotherapy. Cell 2017; 168 (3): 487–502.
Zuazo Ibarra M, Arasanz H, Bocanegra A, Chocarro L, Vera R. Systemic CD4 immunity: a powerful clinical biomarker for PD-L1/PD-1 immunotherapy. EMBO Molecular Med. 2020;12(9):e12706.
Google Scholar
Kagamu H, Kitano S, Yamaguchi O, et al. CD4+ T-cell immunity in the peripheral blood correlates with response to anti-PD-1 therapy. Cancer Immun Res. 2020;8(3):334–44.
Article
CAS
Google Scholar
Hsueh EC, Famatiga E, Shu S. Peripheral blood CD4+ T-cell response before postoperative active immunotherapy correlates with clinical outcome in metastatic melanoma. Ann Surg Oncol. 2004;11(10):892–9.
Article
Google Scholar
Arasanz H, Zuazo M, Bocanegra A, et al. Early detection of hyperprogressive disease in non-small cell lung cancer by monitoring of systemic T cell dynamics. Cancers. 2020;12(2):344.
Article
CAS
Google Scholar