Literature DB >> 31571056

High Stromal TGFBI in Lung Cancer and Intratumoral CD8-Positive T Cells were Associated with Poor Prognosis and Therapeutic Resistance to Immune Checkpoint Inhibitors.

Nobuhiro Nakazawa1, Takehiko Yokobori2, Kyoichi Kaira3, Andrei Turtoi4, Seded Baatar5, Navchaa Gombodorj5, Tadashi Handa6, Mariko Tsukagoshi7, Yasunari Ubukata5, Akiharu Kimura5, Norimichi Kogure5, Kyoichi Ogata5, Toshitaka Maeno8, Makoto Sohda5, Toshiki Yajima5, Kimihiro Shimizu5, Akira Mogi5, Hiroyuki Kuwano5, Hiroshi Saeki5, Ken Shirabe5.   

Abstract

BACKGROUND: We investigated whether the expression of transforming growth factor-beta-induced protein (TGFBI) and intratumoral immune cells including CD8- and Forkhead box protein P3 (Foxp3)-positive T cells in clinical lung cancer patients could predict the therapeutic response to nivolumab.
METHODS: Thirty-three patients who were treated with nivolumab were enrolled in this study. Immunohistochemical analyses of TGFBI, PD-L1, CD8, Foxp3, and vimentin expression were conducted. Serum concentrations of TGFBI and transforming growth factor-beta1 (TGF-β1) were determined by enzyme-linked immunosorbent assay (ELISA).
RESULTS: Cancer TGFBI was not associated with prognosis and therapeutic response to nivolumab, but cancer stromal TGFBI and intratumoral CD8-positive T cells were associated with them. Therefore, we evaluated cancer stromal TGFBI and intratumoral CD8-positive T cells. The high-TGFBI-expression group had poorer clinical responses than did the low-TGFBI-expression group (p < 0.0001). The number of times nivolumab was administered in the high-CD8-expression group was significantly higher than that in the low-CD8-expression group (p = 0.0046). The high-CD8-expression group had better clinical responses than did the low-CD8-expression group (p = 0.0013). Interestingly, all patients in the high-TGFBI/low-CD8-expression group had progressive disease (PD). In contrast, all patients in the low-TGFBI/high-CD8-expression group had PR + SD (partial response + stable disease) by the Response Evaluation Criteria in Solid Tumors (RECIST 1.1).
CONCLUSIONS: The dual evaluation of stromal TGFBI and intratumoral CD8-positive T cells could be a useful predictive marker for nivolumab.

Entities:  

Year:  2019        PMID: 31571056     DOI: 10.1245/s10434-019-07878-8

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  9 in total

Review 1.  Actin Cytoskeleton and Regulation of TGFβ Signaling: Exploring Their Links.

Authors:  Roberta Melchionna; Paola Trono; Annalisa Tocci; Paola Nisticò
Journal:  Biomolecules       Date:  2021-02-23

Review 2.  Tumor promoting roles of IL-10, TGF-β, IL-4, and IL-35: Its implications in cancer immunotherapy.

Authors:  Bhalchandra Mirlekar
Journal:  SAGE Open Med       Date:  2022-01-25

3.  The association between CD8+ tumor-infiltrating lymphocytes and the clinical outcome of cancer immunotherapy: A systematic review and meta-analysis.

Authors:  Feng Li; Caichen Li; Xiuyu Cai; Zhanhong Xie; Liquan Zhou; Bo Cheng; Ran Zhong; Shan Xiong; Jianfu Li; Zhuxing Chen; Ziwen Yu; Jianxing He; Wenhua Liang
Journal:  EClinicalMedicine       Date:  2021-09-16

4.  Landscape of Immune Microenvironment in Epithelial Ovarian Cancer and Establishing Risk Model by Machine Learning.

Authors:  Shi-Yi Liu; Rong-Hui Zhu; Zi-Tao Wang; Wei Tan; Li Zhang; Yan-Qing Wang; Fang-Fang Dai; Meng-Qin Yuan; Ya-Jing Zheng; Dong-Yong Yang; Fei-Yan Wang; Shu Xian; Juan He; Yu-Wei Zhang; Ma-Li Wu; Zhi-Min Deng; Min Hu; Yan-Xiang Cheng; Ye-Qiang Liu
Journal:  J Oncol       Date:  2021-08-26       Impact factor: 4.375

5.  High TGF-β signature predicts immunotherapy resistance in gynecologic cancer patients treated with immune checkpoint inhibition.

Authors:  Ying Ni; Ahmed Soliman; Amy Joehlin-Price; Peter G Rose; Anda Vlad; Robert P Edwards; Haider Mahdi
Journal:  NPJ Precis Oncol       Date:  2021-12-17

6.  Cancer-associated MSC drive tumor immune exclusion and resistance to immunotherapy, which can be overcome by Hedgehog inhibition.

Authors:  Sandra Cascio; Chelsea Chandler; Linan Zhang; Sarah Sinno; Bingsi Gao; Sayali Onkar; Tullia C Bruno; Dario A A Vignali; Haider Mahdi; Hatice U Osmanbeyoglu; Anda M Vlad; Lan G Coffman; Ronald J Buckanovich
Journal:  Sci Adv       Date:  2021-11-12       Impact factor: 14.957

7.  A ferroptosis-related gene signature for overall survival prediction and immune infiltration in lung squamous cell carcinoma.

Authors:  Ti-Wei Miao; De-Qing Yang; Fang-Ying Chen; Qi Zhu; Xin Chen
Journal:  Biosci Rep       Date:  2022-08-31       Impact factor: 3.976

Review 8.  Primary and Acquired Resistance against Immune Check Inhibitors in Non-Small Cell Lung Cancer.

Authors:  Qinying Sun; Xiangzhen Wei; Zhonglin Wang; Yan Zhu; Weiying Zhao; Yuchao Dong
Journal:  Cancers (Basel)       Date:  2022-07-06       Impact factor: 6.575

9.  Development and Validation of a 12-Gene Immune Relevant Prognostic Signature for Lung Adenocarcinoma Through Machine Learning Strategies.

Authors:  Liang Xue; Guoshu Bi; Cheng Zhan; Yi Zhang; Yunfeng Yuan; Hong Fan
Journal:  Front Oncol       Date:  2020-05-27       Impact factor: 6.244

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.