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Wu L, Pi W, Huang X, Yang L, Zhang X, Lu J, Yao S, Lin X, Tan X, Wang Z, Wang P. Orchestrated metal-coordinated carrier-free celastrol hydrogel intensifies T cell activation and regulates response to immune checkpoint blockade for synergistic chemo-immunotherapy. Biomaterials 2025; 312:122723. [PMID: 39121732 DOI: 10.1016/j.biomaterials.2024.122723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 07/01/2024] [Accepted: 07/28/2024] [Indexed: 08/12/2024]
Abstract
The challenges generated by insufficient T cell activation and infiltration have constrained the application of immunotherapy. Making matters worse, the complex tumor microenvironment (TME), resistance to apoptosis collectively poses obstacles for cancer treatment. The carrier-free small molecular self-assembly strategy is a current research hotspot to overcome these challenges. This strategy can transform multiple functional agents into sustain-released hydrogel without the addition of any excipients. Herein, a coordination and hydrogen bond mediated tricomponent hydrogel (Cel hydrogel) composed of glycyrrhizic acid (GA), copper ions (Cu2+) and celastrol (Cel) was initially constructed. The hydrogel can regulate TME by chemo-dynamic therapy (CDT), which increases reactive oxygen species (ROS) in conjunction with GA and Cel, synergistically expediting cellular apoptosis. What's more, copper induced cuproptosis also contributes to the anti-tumor effect. In terms of regulating immunity, ROS generated by Cel hydrogel can polarize tumor-associated macrophages (TAMs) into M1-TAMs, Cel can induce T cell proliferation as well as activate DC mediated antigen presentation, which subsequently induce T cell proliferation, elevate T cell infiltration and enhance the specific killing of tumor cells, along with the upregulation of PD-L1 expression. Upon co-administration with aPD-L1, this synergy mitigated both primary and metastasis tumors, showing promising clinical translational value.
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Affiliation(s)
- Linying Wu
- School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Wenmin Pi
- School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Xuemei Huang
- School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Luping Yang
- School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Xiang Zhang
- School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Jihui Lu
- School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Shuchang Yao
- School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Xiaoyu Lin
- School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Xinru Tan
- School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Zhixia Wang
- School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Penglong Wang
- School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, 102488, China.
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Li Y, Ma J, Ma X, Chen C, Ruan M, Yang W, Shui R. PD-L1 expression and tumor-infiltrating lymphocytes: Correlations and prognostic values in Chinese triple-negative breast cancer patients with different molecular subtyping. Pathol Res Pract 2024; 262:155556. [PMID: 39216323 DOI: 10.1016/j.prp.2024.155556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 07/26/2024] [Accepted: 08/22/2024] [Indexed: 09/04/2024]
Abstract
OBJECTIVE To investigate the correlation between programmed death ligand-1 (PD-L1) expression and tumor-infiltrating lymphocytes (TILs) and evaluate the prognostic value of PD-L1 and TILs in Chinese triple-negative breast cancer (TNBC) patients with different molecular subtype METHODS: This retrospective study was conducted at 2020. Specifically, the pre-chemotherapy clinical data and non-stained tissue blocks of 465 TNBC patients visited the Fudan University Shanghai Cancer Center (FUSCC) between 2008 and 2014 were collected, with their blocks sliced and stained using PD-L1(SP142), and the outcome of subsequent chemotherapy obtained in 2020. The relapse-free survival (RFS) of the study population was calculated. The baseline PD-L1 expression status correlations with TILs and molecular subtypes were assessed using Spearman's rank correlation analysis and the Kruskal-Wallis test. Kaplan-Meier survival analyses were undertaken to evaluate the prognosis value of TILs and PD-L1 expression. RESULTS PD-L1 expression status on IC was moderately and positively correlated with stromal tumor-infiltrating lymphocytes (sTILs) (rs = 0.502, P <0.001) and iTILs (rs = 0.410, P < 0.001), respectively. PD-L1 expression status and TILs showed significant differences among molecular subtypes (P < 0.001), with the highest proportion of PD-L1+ and high TILs patients observed in the immunomodulatory (IM) subtype. TILs were significantly associated with RFS. Moreover, sTILs could act as an independent predictor of RFS (RR 0.953, 95 % CI 0.920 ∼ 0.987, P = 0.007), while PD-L1 expression status did not show the same prognostic significance. CONCLUSIONS The incorporation of pre-treatment TILs and PD-L1 expression status as valuable tools for optimizing patient selection for immunotherapy and managing the risks associated with chemotherapy in Chinese TNBC patients. DATA AVAILABILITY The data sets generated and analyzed during the current study are available from the corresponding author.
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Affiliation(s)
- Yanping Li
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Jing Ma
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Xiaoxi Ma
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Chen Chen
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Miao Ruan
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Wentao Yang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
| | - Ruohong Shui
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
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Song YC, Chen SY, Zhao XR, Jing H, Fang H, Tang Y, Hu SY, Song YW, Jin J, Liu YP, Qi SN, Sun GY, Zhong QZ, Du XH, Liu J, Li YX, Wang SL. Prognostic value of lymphocytes in patients with breast cancer receiving radiotherapy after breast-conserving surgery: A post hoc analysis of a phase III randomized trial. Radiother Oncol 2024; 199:110390. [PMID: 38897316 DOI: 10.1016/j.radonc.2024.110390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 06/11/2024] [Accepted: 06/16/2024] [Indexed: 06/21/2024]
Abstract
PURPOSE To evaluate the prognostic value of peripheral lymphocyte count (PLC) in the breast cancer patients after breast-conserving surgery (BCS) with radiotherapy (RT). METHODS AND MATERIALS This post hoc analysis was performed using data of 628 patients from a phase III, randomized controlled trial comparing hypofractionated RT (HFRT) with conventional fractionated RT (CFRT) after BCS. PLCs were obtained before, during, and after RT until the 1-year follow-up. The optimal cut-off PLCs were determined using the maxstat package in R. Survival rates were estimated using the Kaplan-Meier method and compared with the log-rank test. RESULTS A total of 275 (46.1 %) patients developed lymphopenia during RT, among them, 17 (2.8 %) had grade 3 lymphopenia and no one developed grade 4 lymphopenia. With a median follow-up of 110.8 months, patients with pre-RT PLCs of < 1.77 × 109/L had a significantly lower 10-year breast cancer-specific survival (BCSS) rate (P = 0.013) and overall survival (OS) rate (P = 0.026). Patients with a nadir PLC of < 1.35 × 109/L had a significantly poorer 10-year OS rate (P = 0.048). Multivariate analysis showed that a pre-RT PLC of < 1.77 × 109/L was an independent factor influencing BCSS and OS, while the effect of the nadir PLC did not remain significant. Neither PLC nor lymphopenia recovery at post-RT 1, 3, and 6 months and 1 year was associated with survival. CONCLUSIONS Radiation-induced lymphopenia in patients with breast cancer after BCS tends to be mild. The lower pre-RT PLC predicted poorer survival.
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Affiliation(s)
- Yu-Chun Song
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Si-Ye Chen
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Xu-Ran Zhao
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Hao Jing
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Hui Fang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Yu Tang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Shang-Ying Hu
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Yong-Wen Song
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Jing Jin
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Yue-Ping Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Shu-Nan Qi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Guang-Yi Sun
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Qiu-Zi Zhong
- Department of Radiation Oncology, Beijing Hospital, Ministry of Health, Beijing, China
| | - Xiang-Hui Du
- Department of Radiation Therapy, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, Zhejiang Province, China
| | - Juan Liu
- Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai, China.
| | - Ye-Xiong Li
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
| | - Shu-Lian Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
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4
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He M, Hou Z, Yin F, Cheng W, Xiang Y, Wang Z. Simultaneous detection of breast cancer biomarkers HER2 and miRNA-212 based on duplex-specific nuclease signal amplification. J Mater Chem B 2024. [PMID: 39263860 DOI: 10.1039/d4tb01845a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/13/2024]
Abstract
The detection of a single biomarker is prone to false negative or false positive results. Simultaneous analysis of two biomarkers can greatly improve the accuracy of diagnosis. In this work, we designed a new method for coinstantaneous detection of two breast cancer biomarkers miRNA-21 and HER2 using the properties of duplex-specific nuclease (DSN). Cy5-labeled DNA1 and FAM-labeled DNA2 are used as signal probes to distinguish the two signals. When the sample contains the targets HER2 and miRNA-21, HER2 binds to the HER2 aptamer on the double-stranded DNA2, while miRNA-21 binds to the complementary DNA1. Then, DSN enzyme is added to cut the DNA probes adsorbed on the HER2 aptamer and miRNA-21, releasing the fluorescent groups, which can be readsorbed to the empty sites, thus repeating the cutting of the probes and producing an exponential signal amplification with two distinct fluorescent signals. The detection limits of miRNA-21 and HER2 are 1.12 pM and 0.36 ng mL-1, respectively, with linear ranges of 5 pM to 50 pM and 1 ng mL-1 to 15 ng mL-1. The method was validated in real biological samples, providing a new approach for synchronous analysis of important markers in breast cancer.
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Affiliation(s)
- Miao He
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, P. R. China.
| | - Zhiqiang Hou
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, P. R. China.
| | - Feifan Yin
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, P. R. China.
| | - Wenting Cheng
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, P. R. China.
| | - Yang Xiang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, P. R. China.
- State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, P. R. China
| | - Zhongyun Wang
- Department of Anesthesiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, P. R. China.
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Narusawa E, Kurozumi S, Katayama A, Koibuchi Y, Ogawa A, Takata D, Tokuda S, Obayashi S, Oyama T, Horiguchi J, Shirabe K, Fujii T. Utility of human epidermal growth factor 2 heterogeneity as a prognostic factor in triple-negative breast cancer. Med Mol Morphol 2024; 57:177-184. [PMID: 38619618 DOI: 10.1007/s00795-024-00386-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 03/08/2024] [Indexed: 04/16/2024]
Abstract
In some cases of human epidermal growth factor 2 (HER2)-negative breast cancer, including triple-negative breast cancer, HER2 expression is sporadically and strongly upregulated, a condition known as HER2 heterogeneity. We investigated the clinicopathological features of patients with HER2 heterogeneity in triple-negative breast cancers treated with neoadjuvant chemotherapy. Thirty-nine patients with triple-negative breast cancer who had undergone preoperative chemotherapy participated in this study. To assess for HER2 heterogeneity, we used dual in situ hybridization slides. We evaluated the association between HER2 heterogeneity and clinicopathological factors such as rates of pathologic complete response (pCR) and of recurrence-free survival. Of the 39 patients, 15 (38.5%) had cancers with HER2 heterogeneity. The pCR rates were 13.3% among patients with HER2 heterogeneity and 20.8% among those with HER2 nonheterogeneity, but the difference was not significant. The recurrence-free survival rate was significantly lower in patients with HER2 heterogeneity than in those without (P = 0.025). HER2 heterogeneity is a significant predictor of poor prognosis in patients with triple-negative breast cancer treated with neoadjuvant chemotherapy.
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Affiliation(s)
- Eriko Narusawa
- Department of Breast and Endocrine Surgery, National Hospital Organization Takasaki General Medical Center, Gunma, Japan
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Sasagu Kurozumi
- Department of Breast and Endocrine Surgery, National Hospital Organization Takasaki General Medical Center, Gunma, Japan.
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Gunma, Japan.
- Department of Breast Surgery, International University of Health and Welfare, 852, Hatakeda, Narita City, Chiba, 286-8520, Japan.
| | - Ayaka Katayama
- Department of Diagnostic Pathology, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Yukio Koibuchi
- Department of Breast and Endocrine Surgery, National Hospital Organization Takasaki General Medical Center, Gunma, Japan
| | - Akira Ogawa
- Department of Diagnostic Pathology, National Hospital Organization Takasaki General Medical Center, Gunma, Japan
| | - Daisuke Takata
- Department of Breast and Endocrine Surgery, National Hospital Organization Takasaki General Medical Center, Gunma, Japan
| | - Shoko Tokuda
- Department of Breast and Endocrine Surgery, National Hospital Organization Takasaki General Medical Center, Gunma, Japan
| | - Sayaka Obayashi
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Tetsunari Oyama
- Department of Diagnostic Pathology, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Jun Horiguchi
- Department of Breast Surgery, International University of Health and Welfare, 852, Hatakeda, Narita City, Chiba, 286-8520, Japan
| | - Ken Shirabe
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Takaaki Fujii
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Gunma, Japan
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Xiao Y, Zheng P, Xu W, Wu Z, Zhang X, Wang R, Huang T, Ming J. Progesterone receptor impairs immune respond and down-regulates sensitivity to anti-LAG3 in breast cancer. Transl Res 2024; 271:68-78. [PMID: 38795691 DOI: 10.1016/j.trsl.2024.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 02/09/2024] [Accepted: 05/02/2024] [Indexed: 05/28/2024]
Abstract
BACKGROUND Progesterone receptor (PR) serves as a crucial prognostic and predictive marker in breast cancer. Nonetheless, the interplay between PR and the tumor immune microenvironment remains inadequately understood. This investigation employs bioinformatics analyses, mouse models, and clinical specimens to elucidate the impact of PR on immune microenvironment and identify potential targets for immunotherapy, furnishing valuable guidance for clinical practice. METHODS Analysis of immune infiltration score by Xcell between PR-positive and PR-negative breast cancer tumors. Construction of overexpression mouse progesterone receptor (mPgr) EMT-6 cell was to explore the tumor immune microenvironment. Furthermore, anti- Lymphocyte-activation gene 3 (LAG3) therapy aimed to investigate whether PR could influence the effectiveness of immune treatments. RESULTS Overexpression mPgr inhibited tumor growth in vitro, but promoted tumor growth in Balb/c mouse. Flow cytometry showed that the proportion and cytotoxicity of CD8+T cells in tumor of overexpressing mPgr group were significantly reduced. The significant reduction in overexpressing mPgr group was found in the proportions of LAG3+CD8+ T cells and LAG3+ Treg T cells. Anti-LAG3 treatment resulted in reduced tumor growth in EV group mouse rather than in overexpressing mPgr group. Patents derived tumor fragment (PDTF) also showed higher anti-tumor ability of CD3+T cell in patents' tumor with PR <20% after anti-human LAG3 treatment in vitro. CONCLUSIONS The mPgr promotes tumor growth by downregulating the infiltration and function of cytotoxic cell. LAG3 may be a target of ER-positive breast cancer immunotherapy. The high expression of PR hinders the sensitivity to anti-LAG3 treatment.
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Affiliation(s)
- Yunxiao Xiao
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei 430022, China
| | - Peng Zheng
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei 430022, China
| | - Wenjie Xu
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei 430022, China
| | - Zhenghao Wu
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei 430022, China
| | - Ximeng Zhang
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei 430022, China
| | - Rong Wang
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei 430022, China
| | - Tao Huang
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei 430022, China.
| | - Jie Ming
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei 430022, China.
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Wen QE, Li L, Feng RQ, Li DH, Qiao C, Xu XS, Zhang YJ. Recent Advances in Immunotherapy for Breast Cancer: A Review. BREAST CANCER (DOVE MEDICAL PRESS) 2024; 16:497-516. [PMID: 39220564 PMCID: PMC11365501 DOI: 10.2147/bctt.s482504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Accepted: 08/19/2024] [Indexed: 09/04/2024]
Abstract
Breast cancer is one of the most common malignant tumors in women in the world, and its incidence is increasing year by year, which seriously threatens the physical and mental health of women. Triple negative breast cancer (TNBC) is a special molecular type of breast cancer in which estrogen receptor, progesterone receptor and human epidermal growth factor receptor-2 are negative. Compared with other molecular types of breast cancer, triple-negative breast cancer (TNBC) has high aggressiveness and metastasis, high recurrence rate, lack of effective therapeutic targets, and usually poor clinical treatment effect. Chemotherapy was the main therapeutic means used in the past. With the advent of the immune era, immunotherapy has made a lot of progress in the treatment of triple-negative breast cancer (TNBC), bringing new therapeutic hope for the treatment of triple-negative breast cancer. This review combines the results of cutting-edge medical research, mainly summarizes the research progress of immunotherapy, and summarizes the main treatment methods of triple-negative breast cancer (TNBC) immunotherapy, including immune checkpoint inhibitors, tumor vaccines, adoptive immunotherapy and the application of traditional Chinese and western medicine. It provides a new idea for the treatment of triple negative breast cancer (TNBC).
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Affiliation(s)
- Qian-Er Wen
- Graduate School, Hebei University of Chinese Medicine, Shijiazhuang, Hebei Province, People’s Republic of China
| | - Liang Li
- Graduate School, Hebei University of Chinese Medicine, Shijiazhuang, Hebei Province, People’s Republic of China
| | - Rui-Qi Feng
- Graduate School, Hebei University of Chinese Medicine, Shijiazhuang, Hebei Province, People’s Republic of China
| | - De-Hui Li
- Oncology Department II, The First Affiliated Hospital of Hebei University of Chinese Medicine (Hebei Province Hospital of Chinese Medicine), Key Laboratory of Integrated Chinese and Western Medicine for Gastroenterology Research, Shijiazhuang, Hebei Province, People’s Republic of China
| | - Chang Qiao
- Graduate School, Hebei University of Chinese Medicine, Shijiazhuang, Hebei Province, People’s Republic of China
| | - Xiao-Song Xu
- Scientific research Center, The First Affiliated Hospital of Hebei University of Chinese Medicine, Shijiazhuang, Hebei Province, People’s Republic of China
| | - Yan-Jing Zhang
- Oncology Department II, The First Affiliated Hospital of Hebei University of Chinese Medicine (Hebei Province Hospital of Chinese Medicine), Key Laboratory of Integrated Chinese and Western Medicine for Gastroenterology Research, Shijiazhuang, Hebei Province, People’s Republic of China
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8
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Sato N, Tsujimoto M, Nakatsuji M, Tsuji H, Sugama Y, Shimazu K, Shimoda M, Ishihara H. Flow cytometric analysis for Ki67 assessment in formalin-fixed paraffin-embedded breast cancer tissue. BMC Biol 2024; 22:181. [PMID: 39183273 PMCID: PMC11346000 DOI: 10.1186/s12915-024-01980-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 08/13/2024] [Indexed: 08/27/2024] Open
Abstract
BACKGROUND Pathologists commonly employ the Ki67 immunohistochemistry labelling index (LI) when deciding appropriate therapeutic strategies for patients with breast cancer. However, despite several attempts at standardizing the Ki67 LI, inter-observer and inter-laboratory bias remain problematic. We developed a flow cytometric assay that employed tissue dissociation, enzymatic treatment and a gating process to analyse Ki67 in formalin-fixed paraffin-embedded (FFPE) breast cancer tissue. RESULTS We demonstrated that mechanical homogenizations combined with thrombin treatment can be used to recover efficiently intact single-cell nuclei from FFPE breast cancer tissue. Ki67 in the recovered cell nuclei retained reactivity against the MIB-1 antibody, which has been widely used in clinical settings. Additionally, since the method did not alter the nucleoskeletal structure of tissues, the nuclei of cancer cells can be enriched in data analysis based on differences in size and complexity of nuclei of lymphocytes and normal mammary cells. In a clinical study using the developed protocol, Ki67 positivity was correlated with the Ki67 LI obtained by hot spot analysis by a pathologist in Japan (rho = 0.756, P < 0.0001). The number of cancer cell nuclei subjected to the analysis in our assay was more than twice the number routinely checked by pathologists in clinical settings. CONCLUSIONS The findings of this study showed the application of this new flow cytometry method could potentially be used to standardize Ki67 assessments in breast cancer.
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Affiliation(s)
- Natsuki Sato
- Nitto Boseki Co., Ltd, 2-4-1, Kojimachi, Chiyoda-ku, Tokyo, 102-8489, Japan
| | - Masahiko Tsujimoto
- Department of Diagnostic Pathology, Daini Osaka Police Hospital, 2-6-40 Karasugatsuji, Tennoji-Ku, Osaka, 543-8922, Japan
- Present Address: Osaka Pathology and Cytology Laboratory, 2-2-26 Kunijima, Higashiyodogawa-Ku, Osaka, 533-0024, Japan
| | - Masatoshi Nakatsuji
- Nitto Boseki Co., Ltd, 2-4-1, Kojimachi, Chiyoda-ku, Tokyo, 102-8489, Japan
- Department of Pathobiochemistry, Faculty of Pharmacy, Osaka Medical and Pharmaceutical University, 4-20-1 Nasahara, Takatsuki, Osaka, 569-1094, Japan
| | - Hiromi Tsuji
- Department of Diagnostic Pathology, Osaka Police Hospital, 10-31 Kitayamacho, Tennoji-Ku, Osaka, Japan
| | - Yuji Sugama
- Nitto Boseki Co., Ltd, 2-4-1, Kojimachi, Chiyoda-ku, Tokyo, 102-8489, Japan
| | - Kenzo Shimazu
- Department of Breast and Endocrine Surgery, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Masafumi Shimoda
- Department of Breast and Endocrine Surgery, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
| | - Hideki Ishihara
- Nitto Boseki Co., Ltd, 2-4-1, Kojimachi, Chiyoda-ku, Tokyo, 102-8489, Japan.
- Department of Research Support, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki City, Osaka, 567-0085, Japan.
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Bai H, Xian N, Zhao F, Zhou Y, Qin S. The dual role of SUSD2 in cancer development. Eur J Pharmacol 2024; 977:176754. [PMID: 38897441 DOI: 10.1016/j.ejphar.2024.176754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 06/04/2024] [Accepted: 06/16/2024] [Indexed: 06/21/2024]
Abstract
Sushi domain-containing protein 2 (SUSD2, also known as the complement control protein domain) is a representative and vital protein in the SUSD protein family involved in many physiological and pathological processes beyond complement regulation. Cancer is one of the leading causes of death worldwide. The complex role of SUSD2 in tumorigenesis and cancer progression has raised increasing concerns. Studies suggest that SUSD2 has different regulatory tendencies among different tumors and exerts its biological effects in a cancer type-specific manner; for instance, it has oncogenic effects on breast cancer, gastric cancer, and glioma and has tumor-suppression effects on lung cancer, bladder cancer, and colon cancer. Moreover, SUSD2 can be regulated by noncoding RNAs, its promoter methylation and other molecules, such as Galectin-1 (Gal-1), tropomyosin alpha-4 chain (TPM4), and p63. The therapeutic implications of targeting SUSD2 have already been preliminarily revealed in some malignancies, including melanoma, colon cancer, and breast cancer. This article reviews the role and regulatory mechanisms of SUSD2 in cancer development, as well as its structure and distribution. We hope that this review will advance the understanding of SUSD2 as a diagnostic and/or prognostic biomarker and provide new avenues for the development of novel cancer therapies.
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Affiliation(s)
- Han Bai
- The MED-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Building 21, Western China Science and Technology Innovation Harbor, Xi'an, 710000, China
| | - Ningyi Xian
- Department of Dermatology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Fengyu Zhao
- Department of Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yikun Zhou
- Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, 710061, China
| | - Sida Qin
- Department of Thoracic Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
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10
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Zhang R, Jiang Q, Zhuang Z, Zeng H, Li Y. A bibliometric analysis of drug resistance in immunotherapy for breast cancer: trends, themes, and research focus. Front Immunol 2024; 15:1452303. [PMID: 39188717 PMCID: PMC11345160 DOI: 10.3389/fimmu.2024.1452303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Accepted: 07/24/2024] [Indexed: 08/28/2024] Open
Abstract
While breast cancer treatments have advanced significantly nowadays, yet metastatic, especially triple-negative breast cancer (TNBC), remains challenging with low survival. Cancer immunotherapy, a promising approach for HER2-positive and TNBC, still faces resistance hurdles. Recently, numerous studies have set their sights on the resistance of immunotherapy for breast cancer. Our study provides a thorough comprehension of the current research landscape, hotspots, and emerging breakthroughs in this critical area through a meticulous bibliometric analysis. As of March 26, 2024, a total of 1341 articles on immunology resistance in breast cancer have been gathered from Web of Science Core Collection, including 765 articles and 576 reviews. Bibliometrix, CiteSpace and VOSviewer software were utilized to examine publications and citations per year, prolific countries, contributive institutions, high-level journals and scholars, as well as highly cited articles, references and keywords. The research of immunotherapy resistance in breast cancer has witnessed a remarkable surge over the past seven years. The United States and China have made significant contributions, with Harvard Medical School being the most prolific institution and actively engaging in collaborations. The most contributive author is Curigliano, G from the European Institute of Oncology in Italy, while Wucherpfennig, K. W. from the Dana-Farber Cancer Institute in the USA, had the highest citations. Journals highly productive primarily focus on clinical, immunology and oncology research. Common keywords include "resistance", "expression", "tumor microenvironment", "cancer", "T cell", "therapy", "chemotherapy" and "cell". Current research endeavors to unravel the mechanisms of immune resistance in breast cancer through the integration of bioinformatics, basic experiments, and clinical trials. Efforts are underway to develop strategies that improve the effectiveness of immunotherapy, including the exploration of combination therapies and advancements in drug delivery systems. Additionally, there is a strong focus on identifying novel biomarkers that can predict patient response to immunology. This study will provide researchers with an up-to-date overview of the present knowledge in drug resistance of immunology for breast cancer, serving as a valuable resource for informed decision-making and further research on innovative approaches to address immunotherapy resistance.
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Affiliation(s)
- Rendong Zhang
- Department of Breast Surgery, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Qiongzhi Jiang
- Department of Radiation Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Zhemin Zhuang
- Engineering College, Shantou University, Shantou, Guangdong, China
| | - Huancheng Zeng
- Department of Breast Surgery, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Yaochen Li
- The Central Laboratory, Cancer Hospital of Shantou University Medical College, Shantou, China
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11
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Li Y, Luo Y. STdGCN: spatial transcriptomic cell-type deconvolution using graph convolutional networks. Genome Biol 2024; 25:206. [PMID: 39103939 DOI: 10.1186/s13059-024-03353-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Accepted: 07/26/2024] [Indexed: 08/07/2024] Open
Abstract
Spatially resolved transcriptomics integrates high-throughput transcriptome measurements with preserved spatial cellular organization information. However, many technologies cannot reach single-cell resolution. We present STdGCN, a graph model leveraging single-cell RNA sequencing (scRNA-seq) as reference for cell-type deconvolution in spatial transcriptomic (ST) data. STdGCN incorporates expression profiles from scRNA-seq and spatial localization from ST data for deconvolution. Extensive benchmarking on multiple datasets demonstrates that STdGCN outperforms 17 state-of-the-art models. In a human breast cancer Visium dataset, STdGCN delineates stroma, lymphocytes, and cancer cells, aiding tumor microenvironment analysis. In human heart ST data, STdGCN identifies changes in endothelial-cardiomyocyte communications during tissue development.
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Affiliation(s)
- Yawei Li
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
- Center for Collaborative AI in Healthcare, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Yuan Luo
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
- Center for Collaborative AI in Healthcare, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
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12
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Stanton S, Schmitz F, Copeland W, DellAringa J, Newhall K, Disis M. Populations of triple negative and hormone receptor positive HER2 negative breast tumors share immune gene profiles. RESEARCH SQUARE 2024:rs.3.rs-4542494. [PMID: 39149486 PMCID: PMC11326399 DOI: 10.21203/rs.3.rs-4542494/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
In breast cancer, triple negative (TN) breast cancer has most responses to immune checkpoint inhibitor (ICI) therapy. Lymphocyte infiltrate does not impact prognosis in Hormone receptor positive HER2 negative (HR + HER2-) breast tumors and few HR + HER2- tumors respond to ICI. We contrasted immune-associated gene expression between 119 TN and 475 HR + HER2- breast tumors from The Cancer Genome Atlas (TCGA) and confirmed our findings in 299 TN and 1369 HR + HER2- breast tumors in the METABRIC database. TN and HR+ HER2- tumors grouped into immune-high or -low tumors, both subtypes were represented in the immune-high group. The largest difference between the immune-high TN and HR + HER2- tumors was TN tumors had more abundant Th1 and Th2 CD4+ T cells while HR + HER2- tumors had more abundant fibroblasts (log2FC > 0.3; p < 10×10-10). This suggests an immune-high signature is not dictated by breast cancer subtype, but fibroblast subsets associated with worse outcome were higher in the immune-high HR + HER2- tumors.
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Huang T, Sun F, Gao K, Wang Y, Zhu G, Chen F. The Role of Peripheral Inflammatory Markers and Coagulation Factors in Patients with Central Nervous System (CNS) Immune Disease and Glioma. World Neurosurg 2024; 188:e177-e193. [PMID: 38763458 DOI: 10.1016/j.wneu.2024.05.080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 05/14/2024] [Indexed: 05/21/2024]
Abstract
OBJECTIVE Gliomas are associated with high rates of disability and mortality, and currently, there is a lack of specific and sensitive biomarkers for diagnosis. The ideal biomarkers should be detected early through noninvasive methods. Our research aims to develop a rapid, convenient, noninvasive diagnostic method for gliomas, as well as for grading and differentiation. METHOD We retrospectively collected data from patients who underwent surgery for glioma, trigeminal neuralgia/hemifacial spasmschwannoma, and those diagnosed with multiple sclerosis at our institution from January 2018 to December 2020. Inflammatory markers and coagulation factor levels were collected on admission, and neutrophil count (NLR), (WBC count minus neutrophil count) / lymphocyte count, platelet count / lymphocyte count, lymphocyte count / monocyte count, and albumin count [g/L] + total lymphocyte count × 5 were calculated for patients. Analyze the significance of biomarkers in the diagnosis and grading of gliomas, the diagnosis of MS, and the differential diagnosis of them. RESULTS We evaluated 155 healthy individuals, 64 trigeminal neuralgia/hemifacial spasm patients, 47 MS patients, 316 schwannoma patients, and 814 with glioma patients. Compared with healthy controls and MS group, the preoperative levels of NLR, (WBC count minus neutrophil count) / lymphocyte count, D-dimer, Fibrinogen, Antithrobin, and Factor VIII of glioma patients were significantly higher in glioma patients and positively correlated with the grade of glioma. Conversely, 0020 lymphocyte count / Monocyte count and albumin count [g/L] + total lymphocyte count × 5 were significantly lower and negatively correlated with glioma grading. ROC curves confirmed that for the diagnosis of glioma, NLR showed a maximum area under the curve value of 0.8616 (0.8322-0.8910), followed by D-dimer and Antithrombin, with area under the curve values of 0.8205 (0.7601-0.8809) and 0.8455 (0.8153-0.8758), respectively. NLR and d-dimer also showed great sensitivity in the diagnosis of MS and differential diagnosis with gliomas. CONCLUSIONS Our study demonstrated that multiple inflammatory markers and coagulation factors could be utilized as biomarkers for the glioma diagnosis, grading, and differential diagnosis of MS. Furthermore, the combination of these markers exhibited high sensitivity and specificity.
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Affiliation(s)
- Tao Huang
- Department of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi'an, China
| | - Fang Sun
- Department of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi'an, China
| | - Kailun Gao
- Department of Anesthesiology, Xuzhou Central Hospital, Xu Zhou, China
| | - Yuan Wang
- Department of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi'an, China
| | - Gang Zhu
- Department of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi'an, China
| | - Fan Chen
- Department of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi'an, China.
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14
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Yang C, Liu H, Feng X, Shi H, Jiang Y, Li J, Tan J. Research hotspots and frontiers of neoadjuvant therapy in triple-negative breast cancer: a bibliometric analysis of publications between 2002 and 2023. Int J Surg 2024; 110:4976-4992. [PMID: 39143709 PMCID: PMC11326012 DOI: 10.1097/js9.0000000000001586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 04/25/2024] [Indexed: 08/16/2024]
Abstract
Triple-negative breast cancer (TNBC) is a highly aggressive type of breast cancer with poor prognosis, and neoadjuvant therapy (NAT) has emerged as an important component in managing advanced-stage patients by providing surgical opportunities and improving survival outcomes. A search of publications on NAT for TNBC from 2002 to 2023 was conducted through the Web of Science core collection. A comprehensive bibliometric analysis was conducted on the data using CiteSpace, VOSviewer, and Bibliometrix. The analysis revealed a continuous and steady growth in the number of articles published in this field over the past 20 years. The United States has made significant contributions to this field, with The University of Texas MD Anderson Cancer Center publishing the most articles. Loibl, S. from Germany was found to be the most published author with 54 articles. Analysis of the journals showed that the Journal of Clinical Oncology is the most cited journal. Combined with the keyword co-occurrence analysis and clustering analysis, current research topic focuses on treatment regimens and disease prognosis. Dual-map overlay of the journals indicates that the research trend is gradually shifting from molecular biology and genetics to immunology and clinical research. Combination therapy, including immunotherapy, may be the future direction for NAT treatment of TNBC. Overall, this study provides valuable insights into the current research status, latest advancements, and emerging development trend of NAT for TNBC.
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Affiliation(s)
- Chuang Yang
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University
| | - Hui Liu
- Department of Breast and Thyroid Surgery, The Second Affiliated Hospital of Chongqing Medical University
| | - Xing Feng
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University
- Department of Hepatobiliary, Breast and Thyroid Surgery, The People's Hospital of Liangping District, Chongqing, China
| | - Han Shi
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University
| | - Yuchan Jiang
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University
| | - Junfeng Li
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University
| | - Jinxiang Tan
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University
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15
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Jiang Z, Fang Z, Hong D, Wang X. Cancer Immunotherapy with "Vascular-Immune" Crosstalk as Entry Point: Associated Mechanisms, Therapeutic Drugs and Nano-Delivery Systems. Int J Nanomedicine 2024; 19:7383-7398. [PMID: 39050878 PMCID: PMC11268745 DOI: 10.2147/ijn.s467222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 07/04/2024] [Indexed: 07/27/2024] Open
Abstract
Tumor vessels characterized by abnormal functions and structures hinder the infiltration and immune antigen presentation of immune cells by inducing the formation of an immunosuppressive microenvironment ("cold" environment). Vascular-targeted therapy has been proven to enhance immune stimulation and the effectiveness of immunotherapy by modulating the "cold" microenvironment, such as hypoxia and an acidic microenvironment. Notably, a therapeutic strategy based on "vascular-immune" crosstalk can achieve dual regulation of tumor vessels and the immune system by reprogramming the tumor microenvironment (TME), thus forming a positive feedback loop between tumor vessels and the immune microenvironment. From this perspective, we discuss the factors of tumor angiogenesis and "cold" TME formation. Building on this foundation, some vascular-targeted therapeutic drugs will be elaborated upon in detail to achieve dual regulation of tumor vessels and immunity. More importantly, we focus on cutting-edge nanotechnology in view of "vascular-immune" crosstalk and discuss the rational fabrication of tailor-made nanosystems for efficiently enhancing immunotherapy.
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Affiliation(s)
- Zhijie Jiang
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, People’s Republic of China
| | - Zhujun Fang
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, People’s Republic of China
| | - Dongsheng Hong
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, People’s Republic of China
| | - Xiaojuan Wang
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, People’s Republic of China
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16
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Pan S, Wan M, Jin H, Ning R, Zhang J, Han X. LCP1 correlates with immune infiltration: a prognostic marker for triple-negative breast cancer. BMC Immunol 2024; 25:42. [PMID: 38977952 PMCID: PMC11229261 DOI: 10.1186/s12865-024-00635-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 06/25/2024] [Indexed: 07/10/2024] Open
Abstract
OBJECTIVE Triple-Negative Breast Cancer (TNBC) is known for its aggressiveness and treatment challenges due to the absence of ER, PR, and HER2 receptors. Our work emphasizes the prognostic value of LCP1 (Lymphocyte cytosolic protein 1), which plays a crucial role in cell processes and immune cell activity, to predict outcomes and guide treatments in TNBC. METHODS We explored LCP1 as a potential biomarker in TNBC and investigated the mRNA and protein expression levels of LCP1. We investigated different databases, including GTEX, TCGA, GEO, cBioPortal and Kaplan-Meier Plotter. Immunohistochemistry on TNBC and benign tumor samples was performed to examine LCP1's relationship with patient clinical characteristics and macrophage markers. We also assessed survival rates, immune cell infiltration, and drug sensitivity related to LCP1 using various bioinformatics tools. RESULTS The results indicated that LCP1 expression was higher in TNBC tissues compared to adjacent normal tissues. However, high expression of LCP1 was significantly associated with favorable survival outcomes in patients with TNBC. Enrichment analysis revealed that genes co-expressed with LCP1 were significantly enriched in various immune processes. LCP1 showed a positive correlation with the infiltration of resting dendritic cells, M1 macrophages, and memory CD4 T cells, and a negative correlation with M2 macrophages. Further analysis suggested a link between high levels of LCP1 and increased survival outcomes in cancer patients receiving immunotherapy. CONCLUSION LCP1 may serve as a potential diagnostic and prognostic biomarker for TNBC, which was closely associated with immune cell infiltration, particularly M1 and M2 macrophages. Our findings may provide valuable insights into immunotherapeutic strategies for TNBC patients.
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Affiliation(s)
- Shuaikang Pan
- Department of Medical Oncology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China
- School of Medical Oncology, Wan Nan Medical College, Wuhu, China
| | - Mengting Wan
- Department of Medical Oncology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China
| | - Hongwei Jin
- Department of Medical Oncology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China
| | - Ran Ning
- Department of Pathology, The Affiliated Chaohu Hospital of Anhui Medical University, Chaohu, 238000, Anhui, China
| | - Jinguo Zhang
- Department of Medical Oncology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China.
| | - Xinghua Han
- Department of Medical Oncology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China.
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17
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Chi Y, Hirachan S, Zhou Y, Bhandari A. Exploring the Oncogenic Potential of TIMM8A: A Crucial Factor in Breast Cancer Tumorigenesis. Clin Breast Cancer 2024; 24:e333-e349.e1. [PMID: 38548519 DOI: 10.1016/j.clbc.2024.02.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 02/06/2024] [Accepted: 02/13/2024] [Indexed: 06/23/2024]
Abstract
BACKGROUND Female breast cancer has become the world's most common malignant tumor, displacing lung malignancy, and the incidence of malignant tumors has increased continuously in recent decades. However, the underlying molecular mechanisms of breast tumorigenesis have not been fully elucidated. By consulting the literature, we discovered that the TIMM8A gene could affect oxidative stress and apoptosis in patients with Mohr-Tranebjærg syndrome. However, the biological function of TIMM8A has yet to be explored. MATERIALS AND METHODS We investigated the expression level of TIMM8A via bioinformatic analysis and performed immunohistochemistry, diagnostic value, immune infiltration, functional enrichment, and survival analyses. Nonetheless, in vitro, additional experiments were performed. We explored whether TIMM8A expression was greater in breast tumors than in nearby normal tissues through qRT‒PCR. The expression of TIMM8A was knocked down by siRNA. Then, we conducted proliferation tests (CCK-8 experiment and colony formation) and Transwell assays (migration and invasion assays) to determine the specific biological functions of TIMM8A in the MDA-MB-231 and BT-549 cell lines. RESULTS Tumor samples exhibited higher TIMM8A expression and exon expression, whereas normal tissues had higher TIMM8A methylation. The expression level of TIMM8A was linked to immune infiltration and survival, making it a valuable prognostic indicator and effective diagnostic tool. Functional enrichment analysis of TIMM8A indicated potential pathways through which it may play a role. In vitro experiments demonstrated that suppressing TIMM8A significantly inhibited the viability, colony formation, migration, and invasion of breast carcinoma cell lines. CONCLUSION This study revealed that TIMM8A is an oncogene and is critical for the tumorigenesis of breast carcinoma.
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Affiliation(s)
- Yili Chi
- Department of Oncology and Haematology, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Wenzhou, Zhejiang, PR China
| | - Suzita Hirachan
- Department of General Surgery, Breast and Thyroid Unit, Tribhuvan University Teaching Hospital, Kathmandu, Nepal
| | - Yuying Zhou
- Department of Oncology and Haematology, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Wenzhou, Zhejiang, PR China.
| | - Adheesh Bhandari
- Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, PR China; Department of General Surgery, Breast and Thyroid Unit, Primera Hospital, Kathmandu, Nepal.
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18
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Aghajani M, Jalilzadeh N, Aghebati-Maleki A, Yari A, Tabnak P, Mardi A, Saeedi H, Aghebati-Maleki L, Baradaran B. Current approaches in glioblastoma multiforme immunotherapy. Clin Transl Oncol 2024; 26:1584-1612. [PMID: 38512448 DOI: 10.1007/s12094-024-03395-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 01/08/2024] [Indexed: 03/23/2024]
Abstract
Glioblastoma multiform (GBM) is the most prevalent CNS (central nervous system) tumor in adults, with an average survival length shorter than 2 years and rare metastasis to organs other than CNS. Despite extensive attempts at surgical resecting, the inherently permeable nature of this disease has rendered relapse nearly unavoidable. Thus, immunotherapy is a feasible alternative, as stimulated immune cells can enter into the remote and inaccessible tumor cells. Immunotherapy has revolutionized patient upshots in various malignancies and might introduce different effective ways for GBM patients. Currently, researchers are exploring various immunotherapeutic strategies in patients with GBM to target both the innate and acquired immune responses. These approaches include reprogrammed tumor-associated macrophages, the use of specific antibodies to inhibit tumor progression and metastasis, modifying tumor-associated macrophages with antibodies, vaccines that utilize tumor-specific dendritic cells to activate anti-tumor T cells, immune checkpoint inhibitors, and enhanced T cells that function against tumor cells. Despite these findings, there is still room for improving the response faults of the many currently tested immunotherapies. This study aims to review the currently used immunotherapy approaches with their molecular mechanisms and clinical application in GBM.
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Affiliation(s)
- Marjan Aghajani
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Nazila Jalilzadeh
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Ali Aghebati-Maleki
- Molecular Medicine Department, Faculty of Modern Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Amirhossein Yari
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Biology, Islamic Azad University, Tabriz Branch, Tabriz, Iran
| | - Peyman Tabnak
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Amirhossein Mardi
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Immunology, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Hossein Saeedi
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Leili Aghebati-Maleki
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
- Department of Immunology, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Behzad Baradaran
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
- Department of Immunology, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
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Chang J, Hatfield B. Advancements in computer vision and pathology: Unraveling the potential of artificial intelligence for precision diagnosis and beyond. Adv Cancer Res 2024; 161:431-478. [PMID: 39032956 DOI: 10.1016/bs.acr.2024.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/23/2024]
Abstract
The integration of computer vision into pathology through slide digitalization represents a transformative leap in the field's evolution. Traditional pathology methods, while reliable, are often time-consuming and susceptible to intra- and interobserver variability. In contrast, computer vision, empowered by artificial intelligence (AI) and machine learning (ML), promises revolutionary changes, offering consistent, reproducible, and objective results with ever-increasing speed and scalability. The applications of advanced algorithms and deep learning architectures like CNNs and U-Nets augment pathologists' diagnostic capabilities, opening new frontiers in automated image analysis. As these technologies mature and integrate into digital pathology workflows, they are poised to provide deeper insights into disease processes, quantify and standardize biomarkers, enhance patient outcomes, and automate routine tasks, reducing pathologists' workload. However, this transformative force calls for cross-disciplinary collaboration between pathologists, computer scientists, and industry innovators to drive research and development. While acknowledging its potential, this chapter addresses the limitations of AI in pathology, encompassing technical, practical, and ethical considerations during development and implementation.
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Affiliation(s)
- Justin Chang
- Virginia Commonwealth University Health System, Richmond, VA, United States
| | - Bryce Hatfield
- Virginia Commonwealth University Health System, Richmond, VA, United States.
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20
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Ye Z, Zhong Y, Zhang Z. Pan-cancer multi-omics analysis of PTBP1 reveals it as an inflammatory, progressive and prognostic marker in glioma. Sci Rep 2024; 14:14584. [PMID: 38918441 PMCID: PMC11199703 DOI: 10.1038/s41598-024-64979-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 06/14/2024] [Indexed: 06/27/2024] Open
Abstract
PTBP1 is an oncogene that regulates the splicing of precursor mRNA. However, the relationship between PTBP1 expression and gene methylation, cancer prognosis, and tumor microenvironment remains unclear. The expression profiles of PTBP1 across various cancers were derived from the TCGA, as well as the GTEx and CGGA databases. The CGGA mRNA_325, CGGA mRNA_301, and CGGA mRNA_693 datasets were utilized as validation cohorts. Immune cell infiltration scores were approximated using the TIMER 2.0 tool. Functional enrichment analysis for groups with high and low PTBP1 expression was conducted using Gene Set Enrichment Analysis (GSEA). Methylation data were predominantly sourced from the SMART and Mexpress databases. Linked-omics analysis was employed to perform functional enrichment analysis of genes related to PTBP1 methylation, as well as to conduct protein functional enrichment analysis. Single-cell transcriptome analysis and spatial transcriptome analysis were carried out using Seurat version 4.10. Compared to normal tissues, PTBP1 is significantly overexpressed and hypomethylated in various cancers. It is implicated in prognosis, immune cell infiltration, immune checkpoint expression, genomic variation, tumor neoantigen load, and tumor mutational burden across a spectrum of cancers, with particularly notable effects in low-grade gliomas. In the context of gliomas, PTBP1 expression correlates with WHO grade and IDH1 mutation status. PTBP1 expression and methylation play an important role in a variety of cancers. PTBP1 can be used as a marker of inflammation, progression and prognosis in gliomas.
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Affiliation(s)
- Zheng Ye
- Institute of Computational Science and Technology, Guangzhou University, Guangzhou, 510006, Guangdong, China
- Zhongda Hospital, Southeast University, Nanjing, China
| | - Yan Zhong
- People's Hospital of Dongxihu District, Wuhan, China
| | - Zhiyuan Zhang
- Department of Neurosurgery, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
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Han Y, Wang Y, Li S, Sato K, Yamagishi S. Exploration of the shared pathways and common biomarker in adamantinomatous craniopharyngioma and type 2 diabetes using integrated bioinformatics analysis. PLoS One 2024; 19:e0304404. [PMID: 38848397 PMCID: PMC11161051 DOI: 10.1371/journal.pone.0304404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 05/10/2024] [Indexed: 06/09/2024] Open
Abstract
Craniopharyngiomas are rare tumors of the central nervous system that typically present with symptoms such as headache and visual impairment, and those reflecting endocrine abnormalities, which seriously affect the quality of life of patients. Patients with craniopharyngiomas are at higher cardiometabolic risk, defined as conditions favoring the development of type 2 diabetes and cardiovascular disease. However, the underlying common pathogenic mechanisms of craniopharyngiomas and type 2 diabetes are not clear. Especially due to the difficulty of conducting in vitro or in vivo experiments on craniopharyngioma, we thought the common pathway analysis between craniopharyngioma and type 2 diabetes based on bioinformatics is a powerful and feasible method. In the present study, using public datasets (GSE94349, GSE68015, GSE38642 and GSE41762) obtained from the GEO database, the gene expression associated with adamantinomatous craniopharyngioma, a subtype of craniopharyngioma, and type 2 diabetes were analyzed using a bioinformatic approach. We found 11 hub genes using a protein-protein interaction network analysis. Of these, seven (DKK1, MMP12, KRT14, PLAU, WNT5B, IKBKB, and FGF19) were also identified by least absolute shrinkage and selection operator analysis. Finally, single-gene validation and receptor operating characteristic analysis revealed that four of these genes (MMP12, PLAU, KRT14, and DKK1) may be involved in the common pathogenetic mechanism of adamantinomatous craniopharyngioma and type 2 diabetes. In addition, we have characterized the differences in immune cell infiltration that characterize these two diseases, providing a reference for further research.
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Affiliation(s)
- Yibo Han
- Department of Organ and Tissue Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Yong Wang
- Neurosurgery, The First Hospital of China Medical University, Shenyang, China
| | - Shuo Li
- Department of Organ and Tissue Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Kohji Sato
- Department of Organ and Tissue Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Satoru Yamagishi
- Department of Organ and Tissue Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan
- Department of Optical Neuroanatomy, Institute of Photonics Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
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22
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Ramos Solis N, Cannon A, Dilday T, Abt M, Oblak AL, Soloff AC, Kaplan MH, Yeh ES. HUNK as a key regulator of tumor-associated macrophages in triple negative breast cancer. Oncoimmunology 2024; 13:2364382. [PMID: 38846083 PMCID: PMC11155704 DOI: 10.1080/2162402x.2024.2364382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 05/31/2024] [Indexed: 06/09/2024] Open
Abstract
Triple-negative breast cancer (TNBC) lacks the expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). TNBC tumors are not sensitive to endocrine therapy, and standardized TNBC treatment regimens are lacking. TNBC is a more immunogenic subtype of breast cancer, making it more responsive to immunotherapy intervention. Tumor-associated macrophages (TAMs) constitute one of the most abundant immune cell populations in TNBC tumors and contribute to cancer metastasis. This study examines the role of the protein kinase HUNK in tumor immunity. Gene expression analysis using NanoString's nCounter PanCancer Immune Profiling panel identified that targeting HUNK is associated with changes in the IL-4/IL-4 R cytokine signaling pathway. Experimental analysis shows that HUNK kinase activity regulates IL-4 production in mammary tumor cells, and this regulation is dependent on STAT3. In addition, HUNK-dependent regulation of IL-4 secreted from tumor cells induces polarization of macrophages into an M2-like phenotype associated with TAMs. In return, IL-4 induces cancer metastasis and macrophages to produce epidermal growth factor. These findings delineate a paracrine signaling exchange between tumor cells and TAMs regulated by HUNK and dependent on IL-4/IL-4 R. This highlights the potential of HUNK as a target for reducing TNBC metastasis through modulation of the TAM population.
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Affiliation(s)
- Nicole Ramos Solis
- Department of Pharmacology and Toxicology, Indiana University School of Medicine Indianapolis, Indianapolis, IN, USA
- Simon Comprehensive Cancer Center, Indiana University School of Medicine Indianapolis, Indianapolis, IN, USA
| | - Anthony Cannon
- Department of Microbiology and Immunology, Indiana University School of Medicine Indianapolis, Indianapolis, IN, USA
| | - Tinslee Dilday
- Department of Pharmacology and Toxicology, Indiana University School of Medicine Indianapolis, Indianapolis, IN, USA
- Simon Comprehensive Cancer Center, Indiana University School of Medicine Indianapolis, Indianapolis, IN, USA
| | - Melissa Abt
- Department of Pharmacology and Toxicology, Indiana University School of Medicine Indianapolis, Indianapolis, IN, USA
| | - Adrian L Oblak
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine Indianapolis, Indianapolis, IN, USA
| | - Adam C Soloff
- Department of Cardiothoracic Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mark H Kaplan
- Department of Microbiology and Immunology, Indiana University School of Medicine Indianapolis, Indianapolis, IN, USA
- Simon Comprehensive Cancer Center, Indiana University School of Medicine Indianapolis, Indianapolis, IN, USA
| | - Elizabeth S Yeh
- Department of Pharmacology and Toxicology, Indiana University School of Medicine Indianapolis, Indianapolis, IN, USA
- Simon Comprehensive Cancer Center, Indiana University School of Medicine Indianapolis, Indianapolis, IN, USA
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23
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Fiorin A, López Pablo C, Lejeune M, Hamza Siraj A, Della Mea V. Enhancing AI Research for Breast Cancer: A Comprehensive Review of Tumor-Infiltrating Lymphocyte Datasets. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2024:10.1007/s10278-024-01043-8. [PMID: 38806950 DOI: 10.1007/s10278-024-01043-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 01/19/2024] [Accepted: 02/07/2024] [Indexed: 05/30/2024]
Abstract
The field of immunology is fundamental to our understanding of the intricate dynamics of the tumor microenvironment. In particular, tumor-infiltrating lymphocyte (TIL) assessment emerges as essential aspect in breast cancer cases. To gain comprehensive insights, the quantification of TILs through computer-assisted pathology (CAP) tools has become a prominent approach, employing advanced artificial intelligence models based on deep learning techniques. The successful recognition of TILs requires the models to be trained, a process that demands access to annotated datasets. Unfortunately, this task is hampered not only by the scarcity of such datasets, but also by the time-consuming nature of the annotation phase required to create them. Our review endeavors to examine publicly accessible datasets pertaining to the TIL domain and thereby become a valuable resource for the TIL community. The overall aim of the present review is thus to make it easier to train and validate current and upcoming CAP tools for TIL assessment by inspecting and evaluating existing publicly available online datasets.
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Affiliation(s)
- Alessio Fiorin
- Oncological Pathology and Bioinformatics Research Group, Institut d'Investigació Sanitària Pere Virgili (IISPV), C/Esplanetes no 14, 43500, Tortosa, Spain.
- Department of Pathology, Hospital de Tortosa Verge de la Cinta (HTVC), Institut Català de la Salut (ICS), C/Esplanetes no 14, 43500, Tortosa, Spain.
- Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili (URV), Tarragona, Spain.
| | - Carlos López Pablo
- Oncological Pathology and Bioinformatics Research Group, Institut d'Investigació Sanitària Pere Virgili (IISPV), C/Esplanetes no 14, 43500, Tortosa, Spain.
- Department of Pathology, Hospital de Tortosa Verge de la Cinta (HTVC), Institut Català de la Salut (ICS), C/Esplanetes no 14, 43500, Tortosa, Spain.
- Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili (URV), Tarragona, Spain.
| | - Marylène Lejeune
- Oncological Pathology and Bioinformatics Research Group, Institut d'Investigació Sanitària Pere Virgili (IISPV), C/Esplanetes no 14, 43500, Tortosa, Spain
- Department of Pathology, Hospital de Tortosa Verge de la Cinta (HTVC), Institut Català de la Salut (ICS), C/Esplanetes no 14, 43500, Tortosa, Spain
- Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Ameer Hamza Siraj
- Department of Mathematics, Computer Science and Physics, University of Udine, Udine, Italy
| | - Vincenzo Della Mea
- Department of Mathematics, Computer Science and Physics, University of Udine, Udine, Italy
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24
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Ridnour LA, Cheng RY, Kedei N, Somasundaram V, Bhattacharyya DD, Basudhar D, Wink AL, Walke AJ, Kim C, Heinz WF, Edmondson EF, Butcher DO, Warner AC, Dorsey TH, Pore M, Kinders RJ, Lipkowitz S, Bryant RJ, Rittscher J, Wong ST, Hewitt SM, Chang JC, Shalaby A, Callagy GM, Glynn SA, Ambs S, Anderson SK, McVicar DW, Lockett SJ, Wink DA. Adjuvant COX inhibition augments STING signaling and cytolytic T cell infiltration in irradiated 4T1 tumors. JCI Insight 2024; 9:e165356. [PMID: 38912586 PMCID: PMC11383366 DOI: 10.1172/jci.insight.165356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 05/08/2024] [Indexed: 06/25/2024] Open
Abstract
Immune therapy is the new frontier of cancer treatment. Therapeutic radiation is a known inducer of immune response and can be limited by immunosuppressive mediators including cyclooxygenase-2 (COX2) that is highly expressed in aggressive triple negative breast cancer (TNBC). A clinical cohort of TNBC tumors revealed poor radiation therapeutic efficacy in tumors expressing high COX2. Herein, we show that radiation combined with adjuvant NSAID (indomethacin) treatment provides a powerful combination to reduce both primary tumor growth and lung metastasis in aggressive 4T1 TNBC tumors, which occurs in part through increased antitumor immune response. Spatial immunological changes including augmented lymphoid infiltration into the tumor epithelium and locally increased cGAS/STING1 and type I IFN gene expression were observed in radiation-indomethacin-treated 4T1 tumors. Thus, radiation and adjuvant NSAID treatment shifts "immune desert phenotypes" toward antitumor M1/TH1 immune mediators in these immunologically challenging tumors. Importantly, radiation-indomethacin combination treatment improved local control of the primary lesion, reduced metastatic burden, and increased median survival when compared with radiation treatment alone. These results show that clinically available NSAIDs can improve radiation therapeutic efficacy through increased antitumor immune response and augmented local generation of cGAS/STING1 and type I IFNs.
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Affiliation(s)
- Lisa A Ridnour
- Cancer Innovation Laboratory, CCR, NCI, NIH, Frederick, Maryland, USA
| | - Robert Ys Cheng
- Cancer Innovation Laboratory, CCR, NCI, NIH, Frederick, Maryland, USA
| | - Noemi Kedei
- Collaborative Protein Technology Resource (CPTR) Nanoscale Protein Analysis, OSTR, CCR, NCI, NIH, Bethesda, Maryland, USA
| | | | | | | | - Adelaide L Wink
- Optical Microscopy and Analysis Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, and
| | - Abigail J Walke
- Optical Microscopy and Analysis Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, and
| | - Caleb Kim
- Optical Microscopy and Analysis Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, and
| | - William F Heinz
- Optical Microscopy and Analysis Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, and
| | - Elijah F Edmondson
- Molecular Histopathology Laboratories, Leidos Biomedical Research Inc. for the National Cancer Institute, Frederick, Maryland, USA
| | - Donna O Butcher
- Molecular Histopathology Laboratories, Leidos Biomedical Research Inc. for the National Cancer Institute, Frederick, Maryland, USA
| | - Andrew C Warner
- Molecular Histopathology Laboratories, Leidos Biomedical Research Inc. for the National Cancer Institute, Frederick, Maryland, USA
| | - Tiffany H Dorsey
- Laboratory of Human Carcinogenesis, CCR, NCI, NIH, Bethesda, Maryland, USA
| | - Milind Pore
- Imaging Mass Cytometry Frederick National Laboratory for Cancer Research, and
| | - Robert J Kinders
- Office of the Director, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Frederick, Maryland, USA
| | | | - Richard J Bryant
- Department of Urology, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - Jens Rittscher
- Institute of Biomedical Engineering, Big Data Institute, Ludwig Oxford Branch, University of Oxford, Oxford, United Kingdom
| | - Stephen Tc Wong
- Houston Methodist Neal Cancer Center, Weill Cornell Medical College, Houston Methodist Hospital, Houston, Texas, USA
| | | | - Jenny C Chang
- Houston Methodist Neal Cancer Center, Weill Cornell Medical College, Houston Methodist Hospital, Houston, Texas, USA
| | - Aliaa Shalaby
- Discipline of Pathology, Lambe Institute for Translational Research, School of Medicine, University of Galway, Galway, Ireland
| | - Grace M Callagy
- Discipline of Pathology, Lambe Institute for Translational Research, School of Medicine, University of Galway, Galway, Ireland
| | - Sharon A Glynn
- Discipline of Pathology, Lambe Institute for Translational Research, School of Medicine, University of Galway, Galway, Ireland
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, CCR, NCI, NIH, Bethesda, Maryland, USA
| | - Stephen K Anderson
- Cancer Innovation Laboratory, CCR, NCI, NIH, Frederick, Maryland, USA
- Basic Science Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA
| | - Daniel W McVicar
- Cancer Innovation Laboratory, CCR, NCI, NIH, Frederick, Maryland, USA
| | - Stephen J Lockett
- Optical Microscopy and Analysis Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, and
| | - David A Wink
- Cancer Innovation Laboratory, CCR, NCI, NIH, Frederick, Maryland, USA
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25
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Hörst F, Rempe M, Heine L, Seibold C, Keyl J, Baldini G, Ugurel S, Siveke J, Grünwald B, Egger J, Kleesiek J. CellViT: Vision Transformers for precise cell segmentation and classification. Med Image Anal 2024; 94:103143. [PMID: 38507894 DOI: 10.1016/j.media.2024.103143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 02/14/2024] [Accepted: 03/12/2024] [Indexed: 03/22/2024]
Abstract
Nuclei detection and segmentation in hematoxylin and eosin-stained (H&E) tissue images are important clinical tasks and crucial for a wide range of applications. However, it is a challenging task due to nuclei variances in staining and size, overlapping boundaries, and nuclei clustering. While convolutional neural networks have been extensively used for this task, we explore the potential of Transformer-based networks in combination with large scale pre-training in this domain. Therefore, we introduce a new method for automated instance segmentation of cell nuclei in digitized tissue samples using a deep learning architecture based on Vision Transformer called CellViT. CellViT is trained and evaluated on the PanNuke dataset, which is one of the most challenging nuclei instance segmentation datasets, consisting of nearly 200,000 annotated nuclei into 5 clinically important classes in 19 tissue types. We demonstrate the superiority of large-scale in-domain and out-of-domain pre-trained Vision Transformers by leveraging the recently published Segment Anything Model and a ViT-encoder pre-trained on 104 million histological image patches - achieving state-of-the-art nuclei detection and instance segmentation performance on the PanNuke dataset with a mean panoptic quality of 0.50 and an F1-detection score of 0.83. The code is publicly available at https://github.com/TIO-IKIM/CellViT.
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Affiliation(s)
- Fabian Hörst
- Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), 45131 Essen, Germany; Cancer Research Center Cologne Essen (CCCE), West German Cancer Center Essen, University Hospital Essen (AöR), 45147 Essen, Germany.
| | - Moritz Rempe
- Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), 45131 Essen, Germany; Cancer Research Center Cologne Essen (CCCE), West German Cancer Center Essen, University Hospital Essen (AöR), 45147 Essen, Germany
| | - Lukas Heine
- Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), 45131 Essen, Germany; Cancer Research Center Cologne Essen (CCCE), West German Cancer Center Essen, University Hospital Essen (AöR), 45147 Essen, Germany
| | - Constantin Seibold
- Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), 45131 Essen, Germany; Clinic for Nuclear Medicine, University Hospital Essen (AöR), 45147 Essen, Germany
| | - Julius Keyl
- Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), 45131 Essen, Germany; Institute of Pathology, University Hospital Essen (AöR), 45147 Essen, Germany
| | - Giulia Baldini
- Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), 45131 Essen, Germany; Institute of Interventional and Diagnostic Radiology and Neuroradiology, University Hospital Essen (AöR), 45147 Essen, Germany
| | - Selma Ugurel
- Department of Dermatology, University Hospital Essen (AöR), 45147 Essen, Germany; German Cancer Consortium (DKTK, Partner site Essen), 69120 Heidelberg, Germany
| | - Jens Siveke
- West German Cancer Center, partner site Essen, a partnership between German Cancer Research Center (DKFZ) and University Hospital Essen, University Hospital Essen (AöR), 45147 Essen, Germany; Bridge Institute of Experimental Tumor Therapy (BIT) and Division of Solid Tumor Translational Oncology (DKTK), West German Cancer Center Essen, University Hospital Essen (AöR), University of Duisburg-Essen, 45147 Essen, Germany
| | - Barbara Grünwald
- Department of Urology, West German Cancer Center, 45147 University Hospital Essen (AöR), Germany; Princess Margaret Cancer Centre, M5G 2M9 Toronto, Ontario, Canada
| | - Jan Egger
- Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), 45131 Essen, Germany; Cancer Research Center Cologne Essen (CCCE), West German Cancer Center Essen, University Hospital Essen (AöR), 45147 Essen, Germany
| | - Jens Kleesiek
- Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), 45131 Essen, Germany; Cancer Research Center Cologne Essen (CCCE), West German Cancer Center Essen, University Hospital Essen (AöR), 45147 Essen, Germany; German Cancer Consortium (DKTK, Partner site Essen), 69120 Heidelberg, Germany; Department of Physics, TU Dortmund University, 44227 Dortmund, Germany
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26
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Çetin K, Kökten Ş, Sarıkamış B, Yıldırım S, Gökçe ON, Barışık NÖ, Kılıç Ü. The association of PD-L1 expression and CD8-positive T cell infiltration rate with the pathological complete response after neoadjuvant treatment in HER2-positive breast cancer. Breast Cancer Res Treat 2024; 205:17-27. [PMID: 38273215 PMCID: PMC11062965 DOI: 10.1007/s10549-023-07242-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 12/26/2023] [Indexed: 01/27/2024]
Abstract
PURPOSE Achieving a pathological complete response (pCR) after neoadjuvant therapy in HER2-positive breast cancer patients is the most significant prognostic indicator, suggesting a low risk of recurrence and a survival advantage. This study aims to investigate clinicopathological parameters that can predict the response to neoadjuvant treatment in HER2 + breast cancers and to explore the roles of tumour-infiltrating lymphocytes (TILs), CD8 + T lymphocytes and PD-L1 expression. METHODS This single-centre retrospective study was conducted with 85 HER2-positive breast cancer patients who underwent surgery after receiving neoadjuvant therapy between January 2017 and January 2020. Paraffin blocks from these patients were selected for immunohistochemical studies. RESULTS A complete pathological response to neoadjuvant treatment was determined in 39 (45.9%) patients. High Ki-67 index (> 30%), moderate to high TIL infiltration, PD-L1 positivity and high CD8 cell count (≥ 25) were significantly associated with pCR in univariate analyses (p: 0.023, 0.025, 0.017 and 0.003, respectively). Multivariate regression analysis identified high Ki-67 index (> 30%) and CD8 cell infiltration as independent predictors for pCR in HER2-positive breast cancer. CONCLUSIONS High Ki-67 index, and high CD8 cell count are strong predictors for pCR in HER2-positive breast cancer. Tumours with high Ki-67 index, high TILs and CD8 infiltration may represent a subgroup where standard therapies are adequate. Conversely, those with low TILs and CD8 infiltration may identify a subgroup where use of novel strategies, including those that increase CD8 infiltration could be applied.
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Affiliation(s)
- Kenan Çetin
- Department of General Surgery, Faculty of Medicine, Çanakkale Onsekiz Mart University, Çanakkale, Turkey.
| | - Şermin Kökten
- Department of Pathology, University of Health Sciences, Kartal Dr. Lutfi Kırdar Training and Research Hospital, Istanbul, Turkey
| | - Bahar Sarıkamış
- Department of Medical Biology, Faculty of Medicine, University of Health Sciences, Istanbul, Turkey
| | - Sedat Yıldırım
- Department of Medical Oncology, University of Health Sciences, Kartal Dr. Lutfi Kırdar Training and Research Hospital, Istanbul, Turkey
| | - Oruç Numan Gökçe
- Department of General Surgery, Faculty of Medicine, Çanakkale Onsekiz Mart University, Çanakkale, Turkey
| | - Nagehan Özdemir Barışık
- Department of Pathology, University of Health Sciences, Kartal Dr. Lutfi Kırdar Training and Research Hospital, Istanbul, Turkey
| | - Ülkan Kılıç
- Department of Medical Biology, Faculty of Medicine, University of Health Sciences, Istanbul, Turkey
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27
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Lu HR, Zhu PF, Deng YY, Chen ZL, Yang L. Predictive value of NLR and PLR for immune-related adverse events: a systematic review and meta-analysis. Clin Transl Oncol 2024; 26:1106-1116. [PMID: 37682501 DOI: 10.1007/s12094-023-03313-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 08/20/2023] [Indexed: 09/09/2023]
Abstract
BACKGROUND Currently, there is a lack of affordable and accessible indicators that can accurately predict immune-related adverse events (irAEs) resulting from the use of immune checkpoint inhibitors (ICIs). In order to address this knowledge gap, our study explore the potential predictive value of two ratios, namely the neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR), for irAEs in cancer patients. METHODS A systematic search was performed in PubMed, Embase, and the Cochrane library. Studies involving NLR or PLR with irAEs were included. Quality and risk of bias of the selected studies were assessed. Forest plots were created based on Cox model analysis. Random effects meta-analyses were conducted to estimate odds ratio (OR) and its 95% confidence interval (CI). RESULTS After screening 594 studies, a total of 7 eligible studies with 1068 cancer patients were included. Analysis based on Cox regression showed that low neutrophil-lymphocyte ratio (L-NLR) (OR = 3.02, 95% CI 1.51 to 6.05, P = 0.002) and low platelet-lymphocyte ratio (L-PLR) (OR = 1.83, 95% CI 1.21 to 2.76, P = 0.004) were associated with irAEs. In the subgroup analysis of cut-off value, when the NLR cut-off value was 3, irAEs was significantly correlated with NLR (OR = 2.63, 95% CI 1.63 to 4.26, P < 0.001). CONCLUSIONS Both L-NLR and L-PLR have been found to be significantly associated with irAEs. Consequently, patients identified as being at a higher risk for irAEs should be subjected to more diligent monitoring and close observation.
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Affiliation(s)
- Hong-Rui Lu
- Graduate School of Clinical Medicine, Bengbu Medical College, Bengbu, 233000, Anhui Province, China
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China
| | - Peng-Fei Zhu
- Graduate School of Clinical Medicine, Bengbu Medical College, Bengbu, 233000, Anhui Province, China
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China
| | - Ya-Ya Deng
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China
- Graduate Department, Jinzhou Medical University, Jinzhou, 121000, Liaoning, China
| | - Zhe-Ling Chen
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China.
| | - Liu Yang
- Graduate School of Clinical Medicine, Bengbu Medical College, Bengbu, 233000, Anhui Province, China.
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China.
- Graduate Department, Jinzhou Medical University, Jinzhou, 121000, Liaoning, China.
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28
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Yin L, Qi Y, Jiang Y. Pharmacological Mechanism of Mume Fructus in the Treatment of Triple-Negative Breast Cancer Based on Network Pharmacology. Appl Biochem Biotechnol 2024:10.1007/s12010-024-04948-w. [PMID: 38668843 DOI: 10.1007/s12010-024-04948-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/16/2024] [Indexed: 05/21/2024]
Abstract
Our study aims to find the relevant mechanism of Mume Fructus in the treatment of triple-negative breast cancer (TNBC) by network pharmacology analysis and experimental validation. The effective compounds of Mume Fructus and TNBC-related target genes were imported into Cytoscape to construct a Mume Fructus-effective compounds-disease target network. The common targets of Mume Fructus and TNBC were determined by drawing Venn diagrams. Then, the intersection targets were transferred to the STRING database to construct a protein-protein interaction (PPI) network. To investigate the mechanism of Mume Fructus in treatment of TNBC, breast cancer cell (MDA-MB-231) was treated with Mume Fructus and/or transfected with small interference RNA-PKM2(siPKM2). CCK-8 assay, cell clonal formation assay, transwell, flow cytometry, qRT-PCR, and western blotting were performed. Eight effective compounds and 145 target genes were obtained, and the Mume Fructus- effective compounds-disease target network was constructed. Then through the analysis of the PPI network, we obtained 10 hub genes including JUN, MAPK1, RELA, AKT1, FOS, ESR1, IL6, MAPK8, RXRA, and MYC. KEGG enrichment analysis showed that JUN, MAPK1, RELA, FOS, ESR1, IL6, MAPK8, and RXRA were enriched in the Th17 cell differentiation signaling pathway. Loss of PKM2 and Mume Fructus both inhibited the malignant phenotype of MDA-MB-231 cells. And siPKM2 further aggravated the Mume Fructus inhibition of malignancy of breast cancer cells. Network pharmacology analysis suggests that Mume Fructus has multiple therapeutic targets for TNBC and may play a therapeutic role by modulating the immune microenvironment of breast cancer.
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Affiliation(s)
- Lei Yin
- Department of Breast Surgery, The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Yan Qi
- Operating Theater of the Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Yuting Jiang
- Department of Traditional Chinese Medicine, The Second Affiliated Hospital of Shandong First Medical University, Taian, China.
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29
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Dakal TC, George N, Xu C, Suravajhala P, Kumar A. Predictive and Prognostic Relevance of Tumor-Infiltrating Immune Cells: Tailoring Personalized Treatments against Different Cancer Types. Cancers (Basel) 2024; 16:1626. [PMID: 38730579 PMCID: PMC11082991 DOI: 10.3390/cancers16091626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 04/12/2024] [Accepted: 04/17/2024] [Indexed: 05/13/2024] Open
Abstract
TIICs are critical components of the TME and are used to estimate prognostic and treatment responses in many malignancies. TIICs in the tumor microenvironment are assessed and quantified by categorizing immune cells into three subtypes: CD66b+ tumor-associated neutrophils (TANs), FoxP3+ regulatory T cells (Tregs), and CD163+ tumor-associated macrophages (TAMs). In addition, many cancers have tumor-infiltrating M1 and M2 macrophages, neutrophils (Neu), CD4+ T cells (T-helper), CD8+ T cells (T-cytotoxic), eosinophils, and mast cells. A variety of clinical treatments have linked tumor immune cell infiltration (ICI) to immunotherapy receptivity and prognosis. To improve the therapeutic effectiveness of immune-modulating drugs in a wider cancer patient population, immune cells and their interactions in the TME must be better understood. This study examines the clinicopathological effects of TIICs in overcoming tumor-mediated immunosuppression to boost antitumor immune responses and improve cancer prognosis. We successfully analyzed the predictive and prognostic usefulness of TIICs alongside TMB and ICI scores to identify cancer's varied immune landscapes. Traditionally, immune cell infiltration was quantified using flow cytometry, immunohistochemistry, gene set enrichment analysis (GSEA), CIBERSORT, ESTIMATE, and other platforms that use integrated immune gene sets from previously published studies. We have also thoroughly examined traditional limitations and newly created unsupervised clustering and deconvolution techniques (SpatialVizScore and ProTICS). These methods predict patient outcomes and treatment responses better. These models may also identify individuals who may benefit more from adjuvant or neoadjuvant treatment. Overall, we think that the significant contribution of TIICs in cancer will greatly benefit postoperative follow-up, therapy, interventions, and informed choices on customized cancer medicines.
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Affiliation(s)
- Tikam Chand Dakal
- Genome and Computational Biology Lab, Department of Biotechnology, Mohanlal Sukhadia University, Udaipur 313001, Rajasthan, India
| | - Nancy George
- Department of Biotechnology, Chandigarh University, Mohali 140413, Punjab, India;
| | - Caiming Xu
- Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of the City of Hope, Monrovia, CA 91010, USA;
| | - Prashanth Suravajhala
- Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana P.O. 690525, Kerala, India;
| | - Abhishek Kumar
- Manipal Academy of Higher Education (MAHE), Manipal 576104, Karnataka, India
- Institute of Bioinformatics, International Technology Park, Bangalore 560066, Karnataka, India
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Wang ZY, Xu B, Wang LN, Zhu XD, Huang C, Shen YH, Li H, Li ML, Zhou J, Fan J, Sun HC. Platelet-to-lymphocyte ratio predicts tumor response and survival of patients with hepatocellular carcinoma undergoing immunotherapies. Int Immunopharmacol 2024; 131:111863. [PMID: 38492340 DOI: 10.1016/j.intimp.2024.111863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 03/05/2024] [Accepted: 03/11/2024] [Indexed: 03/18/2024]
Abstract
BACKGROUND Lymphocyte-related factors were associated with survival outcome of different types of cancers. Nevertheless, the association between lymphocytes-related factors and tumor response of immunotherapy remains unclear. METHODS This is a retrospective study. Eligible participants included patients with unresectable or advanced hepatocellular carcinoma (HCC) who underwent immunotherapy as their first-line treatment. Radiological assessment of tumor response adhered to RECIST 1.1 and HCC-specific modified RECIST (mRECIST) criteria. Univariate and multivariate logistic analyses were employed to analyze clinical factors associated with tumor response. Kaplan-Meier survivial analysis were employed to compare progression-free survival (PFS) and overall survival (OS) across different clinical factors. Furthermore, patients who received treatment with either a combination of bevacizumab and anti-PD-1(L1) antibody (Beva group) or tyrosine-kinase inhibitor (TKI) and anti-PD-1 antibody (TKI group) were examined to explore the relation between clinical factors and tumor response. RESULTS A total of 208 patients were enrolled in this study. The median PFS and OS were 9.84 months and 24.44 months,respectively. An independent factor associated with a more favorable tumor response to immunotherapy was identified when PLR<100. Patients with PLR<100 had longer PFS than other patients, while OS showed no significant difference. Further analysis revealed that PLR exhibited superior prognostic value in patients of the Beva group as compared to those in the TKI group. CONCLUSIONS There exisits an association between PLR and tumor response as well as survival outcomes in patients receiving immunotherapy, particularly those treated with the combination of bevacizumab and anti-PD-1.
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Affiliation(s)
- Zi-Yi Wang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China
| | - Bin Xu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China
| | - Lu-Na Wang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiao-Dong Zhu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China
| | - Cheng Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ying-Hao Shen
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China
| | - Hui Li
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China
| | - Mei-Ling Li
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China
| | - Hui-Chuan Sun
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China.
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Liao W, Lu J, Xu Y, Yang C, Chen H, Cai S, Liu L, Chen S. The Role of Infiltrated T Lymphocyte in Oral Squamous Cell Carcinoma: Insights into Clinicopathological Characteristics and Prognosis. J Inflamm Res 2024; 17:2195-2204. [PMID: 38623468 PMCID: PMC11018136 DOI: 10.2147/jir.s446682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 03/12/2024] [Indexed: 04/17/2024] Open
Abstract
Background To compare and analyze the presence of CD4+ and CD8 + lymphocyte infiltrates in Oral squamous cell carcinoma (OSCC) tissue versus adjacent tissue and their clinical significance. Methods We enrolled a total of 152 patients diagnosed with OSCC, all of whom had confirmed diagnoses through pathological reports. Clinical and demographics data were extracted from medical records. Tissue microarrays were constructed and immunohistochemical staining for CD4 and CD8 was performed. Findings The average number of infiltrating CD4+ T cells in OSCC tumor tissue was 1026.22±1163.36 cells/mm2, which did not significantly differ from the count in adjacent tissue, which was 1163.36±1013.23 cells/mm2. However, the number of CD8+ T cell infiltration in tumor tissue was significantly higher than in adjacent tissue (655.25±705.70 vs 504.56±659.26 cells/mm2, p = 0.026). We observed that, among patients who consumed alcohol, the CD4+ T cell infiltration in tumor tissue being significantly lower than that in adjacent tissue (P=0.036). Moreover, the CD8+ T cell infiltration in cancer tissue was significantly higher than in adjacent tissue for T1-2 patients (p=0.005). Patients with higher CD8+ T cell in tumor tissue exhibited significantly improved overall survival (p = 0.043). Multivariate analyses revealed that alcohol consumption had a significant impact on the number of CD4+T lymphocytes in tumor tissue (OR = 0.403, P = 0.033) while T stage was the independent factor affecting CD8+ T lymphocyte infiltration in tumor tissue (OR = 0.459, P = 0.031). Interpretation OSCC patients with a higher number of CD8+ T lymphocyte infiltration in tumor tissue exhibited an improved prognosis.
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Affiliation(s)
- Wei Liao
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
- Department of Intensive Care Unit, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
| | - Jiaxuan Lu
- Hospital of Stomatology, Guanghua School of Stomatology, Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, People’s Republic of China
| | - Yuyuan Xu
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China
| | - Chulin Yang
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
- Department of Head and Neck Surgery, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
| | - Hongjie Chen
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China
| | - Shaohang Cai
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China
| | - Lili Liu
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
| | - Shuwei Chen
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
- Department of Head and Neck Surgery, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
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Wang R, Zhao Y. Effects of Metformin on JNK Signaling Pathway and PD-L1 Expression in Triple Negative Breast Cancer. Cancer Manag Res 2024; 16:259-268. [PMID: 38585433 PMCID: PMC10998504 DOI: 10.2147/cmar.s454960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 03/27/2024] [Indexed: 04/09/2024] Open
Abstract
Background Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer. Metformin has been shown to have the potential to inhibit the proliferation of malignant cells. This study aimed to investigate the regulatory effect of metformin on the expression of programmed death protein ligand 1(PD-L1) and mechanisms in TNBC. Methods Mouse breast cancer cell line 4T1 was co-cultured with metformin, and the effect of metformin on cell proliferation was detected by MTT assay. The effect of metformin on the expression of JNK, RSK2 and CREB was detected by MAPK pathway protein chip. BALB/c mice were inoculated with 4T1 cells with knockdown/overexpression of C-Jun N-terminal kinase (JNK), and administered with metformin. The weight of tumor tissue was observed at the end of the experiment. The expression of PD-L1 in tumor cells was observed by immunofluorescence staining and the level of INF-γwas quantitatively determined by ELISA. Results Metformin inhibited the viability of 4T1 cells and increased the phosphorylation of JNK to reduce the phosphorylation of RSK2 and CREB. Metformin and JNK knockdown reduced the expression of PD-L1 in tumor cells, but there was no significant difference in the weight of tumor tissue. Metformin can reduce the level of INF-γ in tumor tissues, but JNK has no effect. Conclusion Metformin can inhibit the expression of PD-L1 in triple-negative breast cancer mice and improve the tumor microenvironment, but does not reduce the size of the tumor.
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Affiliation(s)
- Ruibin Wang
- Department of Emergency, Beijing Shijitan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Yanjie Zhao
- Department of Medical Oncology, Beijing Shijitan Hospital, Capital Medical University, Beijing, People’s Republic of China
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Okcu O, Öztürk Ç, Yalçın N, Yalçın AC, Şen B, Aydın E, Öztürk AE. Effect of tumor-infiltrating immune cells (mast cells, neutrophils and lymphocytes) on neoadjuvant chemotherapy response in breast carcinomas. Ann Diagn Pathol 2024; 70:152301. [PMID: 38581761 DOI: 10.1016/j.anndiagpath.2024.152301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 03/29/2024] [Accepted: 04/01/2024] [Indexed: 04/08/2024]
Abstract
INTRODUCTION Despite screening, the incidence of breast cancer is increasing worldwide. Neoadjuvant chemotherapy (NAC) response is one of the most important parameters taken into consideration in surgery, optimal adjuvant chemotherapy planning and prognosis prediction. Research on predictive markers for the response to NAC is still ongoing. In our study, we investigated the relationship between tumor-infiltrating neutrophils/mast cells/lymphocytes and NAC response in breast carcinomas. MATERIAL AND METHOD Study included 117 patients who were diagnosed with invasive breast carcinoma using core needle biopsy. In these biopsies tumor-infiltrating neutrophils/mast cells/lymphocytes were evaluated and Miller Payne Score was used for NAC response. RESULT 53 patients exhibited high TILs, 36 had high TINs, and 46 showed high TIMs. While pathological complete response was 27 % in all patients, it was 38 % in high TINs patients, 35 % in high TILs patients, and 28 % in high TIMs patients. High TIMs were observed to be statistically associated with survival. TILs, TINs, nuclear grade, ER, PR and HER2 expression, Ki-67 proliferation index were found to be associated with the Miller - Payne score. In multivariate analysis, TINs, nuclear grade, pathological stage, and molecular subtype were found to be independent risk factors for treatment response. CONCLUSION TINs have better prognostic value to predict neoadjuvant treatment than TILs. High TIMs are associated with increased overall survival. The inclusion of TINs in NAC response and TIMs in overall survival in pathology reports and treatment planning is promising in breast carcinomas as they are simple to use and reproducible markers.
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Affiliation(s)
- Oğuzhan Okcu
- Recep Tayyip Erdoğan University, Faculty of Medicine, Department of Pathology, Rize, Turkey.
| | - Çiğdem Öztürk
- Recep Tayyip Erdoğan University Training and Research Hospital, Department of Pathology, Rize, Turkey
| | - Nazlıcan Yalçın
- Recep Tayyip Erdoğan University, Faculty of Medicine, Department of Pathology, Rize, Turkey
| | - Anıl Can Yalçın
- Recep Tayyip Erdoğan University, Faculty of Medicine, Department of Pathology, Rize, Turkey
| | - Bayram Şen
- Recep Tayyip Erdoğan University Training and Research Hospital, Department of Biochemistry, Rize, Turkey
| | - Esra Aydın
- Recep Tayyip Erdoğan University Training and Research Hospital, Department of Oncology, Rize, Turkey
| | - Ahmet Emin Öztürk
- University of Health Sciences, Prof Dr. Cemil Tascioglu City Hospital, Department of Medical Oncology, Istanbul, Turkey
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Wei J, Ji K, Zhang Y, Zhang J, Wu X, Ji X, Zhou K, Yang X, Lu H, Wang A, Bu Z. Exploration of molecular markers related to chemotherapy efficacy of hepatoid adenocarcinoma of the stomach. Cell Oncol (Dordr) 2024; 47:677-693. [PMID: 37943484 DOI: 10.1007/s13402-023-00892-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/08/2023] [Indexed: 11/10/2023] Open
Abstract
PURPOSE Preoperative neoadjuvant chemotherapy may not improve the prognosis of patients with hepatoid adenocarcinoma of the stomach (HAS), a rare pathological type of gastric cancer. Thus, the study aimed at the genomic and transcriptomic impacts of preoperative chemotherapy on HAS. METHODS Patients with HAS who underwent surgical resection at Peking University Cancer Hospital were retrospectively included in this study. Whole exome sequencing and transcriptome sequencing were performed on pre-chemotherapy, non-chemotherapy and post-chemotherapy samples. We then compared the alterations in molecular markers between the post-chemotherapy and non-chemotherapy groups, and between the chemotherapy-effective and chemotherapy-ineffective groups, respectively. RESULTS A total of 79 tumor samples from 72 patients were collected. Compared to the non-chemotherapy group, the mutation frequencies of several genes were changed after chemotherapy, including TP53. In addition, there was a significant increase in the frequency of frameshift mutations and cytosine transversion to adenine (C > A), appearance of COSMIC signature 6 and 14, and a reduced gene copy number amplification. Interestingly, the same phenomenon was observed in chemotherapy-ineffective patients. In addition, many HAS patients had ERBB2, FGFR2, MET and HGF gene amplification. Moreover, the expression of immune-related genes, especially those related to lymphocyte activation, was down-regulated after chemotherapy. CONCLUSION Chemotherapy is closely associated with changes in the molecular characteristics of HAS. After chemotherapy, at genomic and transcriptome level, many features were altered. These changes may be molecular markers of poor chemotherapeutic efficacy and play an important role in chemoresistance in HAS. In addition, ERBB2, FGFR2, MET and HGF gene amplification may be potential therapeutic targets for HAS.
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Affiliation(s)
- Jingtao Wei
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Ke Ji
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Yue Zhang
- Beijing Key Laboratory of Preclinical Research and Evaluation for Cardiovascular Implant Materials, Animal Experimental Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
- The Cardiomyopathy Research Group at Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Beijing, 100037, China
| | - Ji Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Xiaojiang Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Xin Ji
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Kai Zhou
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Xuesong Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Hongfeng Lu
- Berry Genomics Corporation, Beijing, 102206, China
| | - Anqiang Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Haidian District, Beijing, 100142, China.
| | - Zhaode Bu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Haidian District, Beijing, 100142, China.
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Jeong SU, Song JS, Lee HJ, Sa HS, Cho KJ. Prognostic Significance of Tumor-Infiltrating Lymphocytes and High-Risk Human Papillomavirus in Ocular Sebaceous Carcinoma: A Comprehensive Analysis. Mod Pathol 2024; 37:100449. [PMID: 38369185 DOI: 10.1016/j.modpat.2024.100449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 02/01/2024] [Accepted: 02/06/2024] [Indexed: 02/20/2024]
Abstract
High-risk human papillomavirus (hrHPV) and tumor-infiltrating lymphocytes (TILs) are known to have prognostic significance in oropharyngeal squamous cell carcinoma. However, their significance in ocular sebaceous carcinoma (OSC) remains unverified because of the rarity of the condition. This study aimed to investigate the association between clinicopathologic features, biomarkers, and hrHPV infection and their potential to predict prognosis in OSC patients. We analyzed the clinicopathologic features of 81 OSC patients from Asan Medical Center between 2000 and 2022. Seventeen biomarkers and hrHPV were examined using immunohistochemistry and DNA in situ hybridization on tissue microarray cores. hrHPV was identified in 31 cases (38.3%). Univariate analysis revealed that hrHPV infection was associated with comedonecrosis (P = .032), high Ki-67 labeling index (≥30%, P = .042), lower expression of E-cadherin (P = .033), and loss of expression of zinc finger protein 750 (P = .023). Multivariate analysis revealed that loss of expression of zinc finger protein 750 (P = .026) remained an independently associated factor for hrHPV. Progression-free survival analysis was performed on 28 patients who were continuously observed for more than 5 years. During a median follow-up duration of 86 months, recurrence or metastasis developed in 14 patients (50%) within the survival cohort, occurring at a median time of 48 months after excision. Univariate analysis indicated that recurrence or metastasis was associated with tumor size (P = .010), high TILs (≥10%; P = .025), lymphovascular invasion (P = 0.043), site of origin (P = .025), and high expression of bcl-2-associated athanogene 3 (P = .039). Multivariate analysis demonstrated that high TILs (P = .017) and site of origin (P = .025) were independent prognostic factors. The prognosis of OSC was hrHPV-independent, and a better prognosis was associated with the site of origin in the order of the gland of Zeis, meibomian gland, and multicentric site, as well as with high TILs.
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Affiliation(s)
- Se Un Jeong
- Department of Pathology, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, Republic of Korea
| | - Joon Seon Song
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Hee Jin Lee
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Ho-Seok Sa
- Department of Ophthalmology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Kyung-Ja Cho
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
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Zhang Z, Wu H, Shen C, Zhou F. Comprehensive Characterization of Immune Cell Infiltration Characteristics and Drug Sensitivity Analysis in Inflammatory Breast Cancer Based on Bioinformatic Strategy. Biochem Genet 2024; 62:1021-1039. [PMID: 37517031 DOI: 10.1007/s10528-023-10460-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 07/14/2023] [Indexed: 08/01/2023]
Abstract
Inflammatory breast cancer (IBC) is a rare and highly invasive form of breast cancer, renowned for its aggressive behavior, malignant capacity, and unfavorable prognosis. Despite considerable advancements in comprehending the underlying biology of IBC, the immune cell infiltration (ICI) profile in IBC remains inadequately elucidated. The current work endeavors to investigate the ICI characteristics of IBC and ascertain the pivotal immune cell subtypes and genes that impact its prognosis. The present study employed microarray data from the GEO database to demonstrate that IBC exhibited a lower abundance of activated mast cells (AMC) in comparison to non-inflammatory breast cancer (nIBC) or normal breast tissue (NBT). Additionally, the mRNA expression level of the gene polo-like kinase 5 (PLK5), which was correlated with AMC, was found to be lower in IBC relative to nIBC or NBT. Furthermore, this investigation provided compelling evidence indicating a potential association between a decreased mRNA expression level of PLK5 and a shorter progression-free survival in patients with breast cancer. The gene set enrichment analysis performed on PLK5 revealed that the gene expression in IBC was closely associated with diverse immune functions and pathways. Besides, a negative correlation has been established between PLK5 mRNA expression level and a majority of immune checkpoint-related genes, thereby suggesting the potential suitability of immunotherapy treatment for IBC. In summary, this study offers valuable insights into the ICI profile of IBC and identifies potential target PLK5 for improving its clinical management.
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Affiliation(s)
- Zhengguang Zhang
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
| | - Haitao Wu
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Cunsi Shen
- Jiangsu Key Laboratory of Pediatric Respiratory Disease, Institute of Pediatrics, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Fuqiong Zhou
- Central Laboratory, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing, 210022, China.
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Wang ZT, Deng ZM, Dai FF, Yuan MQ, Liu SY, Li BS, Cheng YX. Tumor immunity: A brief overview of tumor‑infiltrating immune cells and research advances into tumor‑infiltrating lymphocytes in gynecological malignancies (Review). Exp Ther Med 2024; 27:166. [PMID: 38476909 PMCID: PMC10928974 DOI: 10.3892/etm.2024.12453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 01/03/2023] [Indexed: 03/14/2024] Open
Abstract
Tumor immunity is a promising topic in the area of cancer therapy. The 'soil' function of the tumor microenvironment (TME) for tumor growth has attracted wide attention from scientists. Tumor-infiltrating immune cells in the TME, especially the tumor-infiltrating lymphocytes (TILs), serve a key role in cancer. Firstly, relevant literature was searched in the PubMed and Web of Science databases with the following key words: 'Tumor microenvironment'; 'TME'; 'tumor-infiltrating immunity cells'; 'gynecologic malignancies'; 'the adoptive cell therapy (ACT) of TILs'; and 'TIL-ACT' (https://pubmed.ncbi.nlm.nih.gov/). According to the title and abstract of the articles, relevant items were screened out in the preliminary screening. The most relevant selected items were of two types: All kinds of tumor-infiltrating immune cells; and advanced research on TILs in gynecological malignancies. The results showed that the subsets of TILs were various and complex, while each subpopulation influenced each other and their effects on tumor prognosis were diverse. Moreover, the related research and clinical trials on TILs were mostly concentrated in melanoma and breast cancer, but relatively few focused on gynecological tumors. In conclusion, the present review summarized the biological classification of TILs and the mechanisms of their involvement in the regulation of the immune microenvironment, and subsequently analyzed the development of tumor immunotherapy for TILs. Collectively, the present review provides ideas for the current treatment dilemma of gynecological tumor immune checkpoints, such as adverse reactions, safety, personal specificity and efficacy.
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Affiliation(s)
- Zi-Tao Wang
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
| | - Zhi-Min Deng
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
| | - Fang-Fang Dai
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
| | - Meng-Qin Yuan
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
| | - Shi-Yi Liu
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
| | - Bing-Shu Li
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
| | - Yan-Xiang Cheng
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
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Li Y, Wu X, Fang D, Luo Y. Informing immunotherapy with multi-omics driven machine learning. NPJ Digit Med 2024; 7:67. [PMID: 38486092 PMCID: PMC10940614 DOI: 10.1038/s41746-024-01043-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 02/14/2024] [Indexed: 03/18/2024] Open
Abstract
Progress in sequencing technologies and clinical experiments has revolutionized immunotherapy on solid and hematologic malignancies. However, the benefits of immunotherapy are limited to specific patient subsets, posing challenges for broader application. To improve its effectiveness, identifying biomarkers that can predict patient response is crucial. Machine learning (ML) play a pivotal role in harnessing multi-omic cancer datasets and unlocking new insights into immunotherapy. This review provides an overview of cutting-edge ML models applied in omics data for immunotherapy analysis, including immunotherapy response prediction and immunotherapy-relevant tumor microenvironment identification. We elucidate how ML leverages diverse data types to identify significant biomarkers, enhance our understanding of immunotherapy mechanisms, and optimize decision-making process. Additionally, we discuss current limitations and challenges of ML in this rapidly evolving field. Finally, we outline future directions aimed at overcoming these barriers and improving the efficiency of ML in immunotherapy research.
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Affiliation(s)
- Yawei Li
- Department of Preventive Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL, 60611, USA
- Center for Collaborative AI in Healthcare, Northwestern University, Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Xin Wu
- Department of Medicine, University of Illinois at Chicago, Chicago, IL, 60612, USA
| | - Deyu Fang
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Yuan Luo
- Department of Preventive Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL, 60611, USA.
- Center for Collaborative AI in Healthcare, Northwestern University, Feinberg School of Medicine, Chicago, IL, 60611, USA.
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Gatalica Z, Kuzmova N, Rose I, Ulamec M, Peric-Balja M, Skenderi F, Vranic S. The assessment of tumor-infiltrating lymphocytes in invasive apocrine carcinoma of the breast in relation to the HER2 status. BIOMOLECULES & BIOMEDICINE 2024; 24:256-261. [PMID: 37782562 PMCID: PMC10950344 DOI: 10.17305/bb.2023.9868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 09/27/2023] [Accepted: 10/02/2023] [Indexed: 10/04/2023]
Abstract
In the current study, we assessed the prevalence and molecular features of HER2-low phenotype in the apocrine carcinomas of the breast (ApoCa) and its relationship with tumor-infiltrating lymphocytes (TILs). A cohort of 64 well-characterized therapy-naïve ApoCa was used. The TIL distribution was assessed using the hematoxylin and eosin whole slide/scanned images following the international TILs working group recommendations. Next-generation sequencing (NGS) was performed in a subset of HER2-low ApoCa. All patients were women, with a mean age of 62 years. Forty-three carcinomas were pure apocrine carcinoma (PAC; ER-/AR+), and the remaining 21 were classified as apocrine-like carcinomas (ALCs; ER+/-, AR+/-). HER2/neu was positive (score 3+ by IHC and/or amplified by FISH) in 20/43 (47%) PAC and 4/21 (19%) ALC. The prevalence of HER2-low expression (scores 1+ or 2+ without HER2 amplification) in ApoCa was 39% without significant differences between PAC and ALC (P = 0.14); however, the HER2-low phenotype was more prevalent in triple-negative PAC than in ALC (P < 0.001). Levels of TILs were low (≤10%) in 74% of ApoCa (median 5%, range 0%-50%). TIL levels were significantly higher in ALC than in PAC (P = 0.02). HER2 status had no impact on TIL distribution (P = 0.45). The genomic profile of HER2-low ApoCa was similar to other subtypes of ApoCa. ApoCa has predominantly low TIL, particularly PAC. The prevalence of the HER2-low phenotype in ApoCa is high, which should have therapeutic and clinical implications given the recently approved therapies with antibody-drug conjugates (ADCs) for HER2-low breast cancers.
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Affiliation(s)
- Zoran Gatalica
- Reference Medicine, Phoenix, Arizona, USA
- The University of Oklahoma Health Sciences Center, Oklahoma, USA
| | | | - Inga Rose
- Reference Medicine, Phoenix, Arizona, USA
| | - Monika Ulamec
- Ljudevit Jurak Clinical Department of Pathology and Cytology, Sestre Milosrdnice University Hospital Center, Zagreb, Croatia
- Department of Pathology and Scientific Group for Research on Epigenetic Biomarkers, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Melita Peric-Balja
- Oncological Pathology Department, Ljudevit Jurak Clinical Department of Pathology and Cytology, Sestre Milosrdnice University Hospital Center, Zagreb, Croatia
| | - Faruk Skenderi
- Department of Pathology, Sarajevo School of Science and Technology, Sarajevo, Bosnia and Herzegovina
| | - Semir Vranic
- College of Medicine, QU Health, Qatar University, Doha, Qatar
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Pascual T, Fernandez-Martinez A, Agrawal Y, Pfefferle AD, Chic N, Brasó-Maristany F, Gonzàlez-Farré B, Paré L, Villacampa G, Saura C, Hernando C, Muñoz M, Galván P, Gonzàlez-Farré X, Oliveira M, Gil-Gil M, Ciruelos E, Villagrasa P, Gavilá J, Prat A, Perou CM. Cell-cycle inhibition and immune microenvironment in breast cancer treated with ribociclib and letrozole or chemotherapy. NPJ Breast Cancer 2024; 10:20. [PMID: 38448600 PMCID: PMC10918094 DOI: 10.1038/s41523-024-00625-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 02/22/2024] [Indexed: 03/08/2024] Open
Abstract
In this study, we performed genomic analyses of cell cycle and tumor microenvironment changes during and after ribociclib and letrozole or chemotherapy in the CORALLEEN trial. 106 women with untreated PAM50-defined Luminal B early breast cancers were randomly assigned to receive neoadjuvant ribociclib and letrozole or standard-of-care chemotherapy. Ki67 immunohistochemistry, tumor-infiltrating lymphocytes quantification, and RNA sequencing were obtained from tissue biopsies pre-treatment, on day 14 of treatment, and tumor specimens from surgical resection. Results showed that at surgery, Ki67 and the PAM50 proliferation scores were lower after ribociclib compared to chemotherapy. However, consistent reactivation of tumor cell proliferation from day 14 to surgery was only observed in the ribociclib arm. In tumors with complete cell cycle arrest (CCCA) at surgery, PAM50 proliferation scores were lower in the ribociclib arm compared to chemotherapy (p < 0.001), whereas the opposite was observed with tumor cellularity (p = 0.002). Gene expression signatures (GES) associated with antigen-presenting cells (APCs) and innate immune system activity showed increased expression post-chemotherapy but decreased expression post-ribociclib. Interferon-associated GES had decreased expression with CCCA and increased expression with non-CCCA. Our findings suggest that while both treatment strategies decreased proliferation, the depth and the patterns over time differed by treatment arm. Immunologically, ribociclib was associated with downregulated GES associated with APCs and the innate immune system in Luminal B tumors, contrary to existing preclinical data. Further studies are needed to understand the effect of CDK4/6 inhibition on the tumor cells and microenvironment, an effect which may vary according to tumor subtypes.
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Affiliation(s)
- Tomás Pascual
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
- SOLTI Cancer Research Group, Barcelona, Spain
- Medical Oncology Department, Hospital Clinic de Barcelona, Barcelona, Spain
- Translational Genomics and Targeted Therapies in Solid Tumors, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Aranzazu Fernandez-Martinez
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Yash Agrawal
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Adam D Pfefferle
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Nuria Chic
- Medical Oncology Department, Hospital Clinic de Barcelona, Barcelona, Spain
- Translational Genomics and Targeted Therapies in Solid Tumors, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Fara Brasó-Maristany
- Translational Genomics and Targeted Therapies in Solid Tumors, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Blanca Gonzàlez-Farré
- SOLTI Cancer Research Group, Barcelona, Spain
- Translational Genomics and Targeted Therapies in Solid Tumors, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
- Pathology Department, Hospital Clinic of Barcelona, Barcelona, Spain
| | - Laia Paré
- SOLTI Cancer Research Group, Barcelona, Spain
- Medical Oncology Department, Hospital Clinic de Barcelona, Barcelona, Spain
- Translational Genomics and Targeted Therapies in Solid Tumors, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | | | - Cristina Saura
- SOLTI Cancer Research Group, Barcelona, Spain
- Medical Oncology Department, Vall d'Hebron Institute of Oncology (VHIO), Hospital Universitari Vall d'Hebron, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
- Breast Cancer Program, Vall d'Hebron Institute of Oncology (VHIO), Hospital Universitari Vall d'Hebron, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Cristina Hernando
- Medical Oncology Department, Hospital Clínico Universitario de Valencia, Valencia, Spain
- Breast Cancer Biology Research Group, Biomedical Research Institute INCLIVA, Valencia, Spain
| | - Montserrat Muñoz
- SOLTI Cancer Research Group, Barcelona, Spain
- Medical Oncology Department, Hospital Clinic de Barcelona, Barcelona, Spain
- Translational Genomics and Targeted Therapies in Solid Tumors, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Patricia Galván
- Translational Genomics and Targeted Therapies in Solid Tumors, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Xavier Gonzàlez-Farré
- SOLTI Cancer Research Group, Barcelona, Spain
- Breast Cancer Unit, Hospital Universitari General de Catalunya, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Mafalda Oliveira
- SOLTI Cancer Research Group, Barcelona, Spain
- Medical Oncology Department, Vall d'Hebron Institute of Oncology (VHIO), Hospital Universitari Vall d'Hebron, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
- Breast Cancer Program, Vall d'Hebron Institute of Oncology (VHIO), Hospital Universitari Vall d'Hebron, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Miguel Gil-Gil
- IDIBELL, L'Hospitalet, Barcelona, Spain
- Department of Medical Oncology, Multidisciplinary Breast Cancer Unit, Institut Català d'Oncologia Medical Oncology, Barcelona, Spain
| | - Eva Ciruelos
- SOLTI Cancer Research Group, Barcelona, Spain
- Medical Oncology Department, Hospital 12 de Octubre, Madrid, Spain
- Medical Oncology Department, HM Hospitales Madrid, Madrid, Spain
| | | | - Joaquín Gavilá
- SOLTI Cancer Research Group, Barcelona, Spain
- Fundación Instituto Valenciano de Oncología, Valencia, Spain
| | - Aleix Prat
- SOLTI Cancer Research Group, Barcelona, Spain.
- Medical Oncology Department, Hospital Clinic de Barcelona, Barcelona, Spain.
- Translational Genomics and Targeted Therapies in Solid Tumors, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.
- Department of Medicine, University of Barcelona, Barcelona, Spain.
- Breast Cancer Unit, IOB-Quirón Salud, Barcelona, Spain.
| | - Charles M Perou
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
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Zhou Y, Xue W, Meng X, Bhandari A, Zeng H, KC R, Hirachan S, Xia E. GNPNAT1 is a Biomarker That Predicts a Poor Prognosis of Breast Cancer. BREAST CANCER (DOVE MEDICAL PRESS) 2024; 16:71-89. [PMID: 38476642 PMCID: PMC10929243 DOI: 10.2147/bctt.s451054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 02/14/2024] [Indexed: 03/14/2024]
Abstract
Background Breast cancer (BC) is increasingly becoming the primary reason for death in women, which sounded the alarm. Thus, finding a novel management target for BC is imminent. Materials and Methods The data on gene expression and clinicopathological characteristics were downloaded from The Cancer Genome Atlas (TCGA). The expression of GNPNAT1 in 40 paired breast cancer and adjacent tissues was measured by quantitative real-time polymerase chain reaction (qRT-PCR). Univariate and Multivariate logistic regression methodology was applied to analyze the prognostic factors for lymph node metastasis (LNM). Based on the status of breast cancer-relative receptors, patients were distributed into six groups, and then the Kaplan-Meier survival analysis with a Log rank test was applied to investigate the involvement among the expression of GNPNAT1 and overall survival (OS). Results We found higher expression of GNPNAT1 was connected with poor survival in breast cancer by COX regulation analysis. GO, KEGG, and GSEA analysis prompted that GNPNAT1 was connected with the defense mechanism of cells, cell proliferation, and division. Immunization infiltration analysis showed that high GNPNAT1 was negatively connected with 16 immunization infiltration cell types and positively connected with four immunization infiltration cell types. Conclusion As a whole, our results indicated that GNPNAT1 might be a probable biomarker for diagnosis and prognosis in breast cancer.
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Affiliation(s)
- Yuying Zhou
- Department of Oncology and Hematology, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Wenzhou, Zhejiang, People’s Republic of China
| | - Wu Xue
- Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
| | - Xinyu Meng
- Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
| | - Adheesh Bhandari
- Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
- Department of Surgery, Breast and Thyroid Unit, Primera Hospital, Kathmandu, Nepal
| | - Hanqian Zeng
- Department of Surgical Oncology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang Province, People’s Republic of China
| | - Rajan KC
- Central Department of Zoology, Tribhuvan University, Kirtipur, Kathmandu, Nepal
| | - Suzita Hirachan
- Department of General Surgery, Breast and Thyroid Unit, Tribhuvan University, Teaching Hospital, Kathmandu, Nepal
| | - Erjie Xia
- Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
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Pirsadeghi A, Namakkoobi N, Behzadi MS, Pourzinolabedin H, Askari F, Shahabinejad E, Ghorbani S, Asadi F, Hosseini-Chegeni A, Yousefi-Ahmadipour A, Kamrani MH. Therapeutic approaches of cell therapy based on stem cells and terminally differentiated cells: Potential and effectiveness. Cells Dev 2024; 177:203904. [PMID: 38316293 DOI: 10.1016/j.cdev.2024.203904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 11/24/2023] [Accepted: 01/30/2024] [Indexed: 02/07/2024]
Abstract
Cell-based therapy, as a promising regenerative medicine approach, has been a promising and effective strategy to treat or even cure various kinds of diseases and conditions. Generally, two types of cells are used in cell therapy, the first is the stem cell, and the other is a fully differentiated cell. Initially, all cells in the body are derived from stem cells. Based on the capacity, potency and differentiation potential of stem cells, there are four types: totipotent (produces all somatic cells plus perinatal tissues), pluripotent (produces all somatic cells), multipotent (produces many types of cells), and unipotent (produces a particular type of cells). All non-totipotent stem cells can be used for cell therapy, depending on their potency and/or disease state/conditions. Adult fully differentiated cell is another cell type for cell therapy that is isolated from adult tissues or obtained following the differentiation of stem cells. The cells can then be transplanted back into the patient to replace damaged or malfunctioning cells, promote tissue repair, or enhance the targeted organ's overall function. With increasing science and knowledge in biology and medicine, different types of techniques have been developed to obtain efficient cells to use for therapeutic approaches. In this study, the potential and opportunity of use of all cell types, both stem cells and fully differentiated cells, are reviewed.
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Affiliation(s)
- Ali Pirsadeghi
- Immunology of Infectious Diseases Research Center, Research Institute of Basic Medical Sciences, Rafsanjan University of Medical Sciences, Rafsanjan, Iran; Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Negar Namakkoobi
- Department of Laboratory Sciences, Faculty of Paramedicine, Rafsanjan University of Medical Sciences, Rafsanjan, Iran; Student Research Committee, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Mahtab Sharifzadeh Behzadi
- Department of Laboratory Sciences, Faculty of Paramedicine, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Hanieh Pourzinolabedin
- Department of Laboratory Sciences, Faculty of Paramedicine, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Fatemeh Askari
- Immunology of Infectious Diseases Research Center, Research Institute of Basic Medical Sciences, Rafsanjan University of Medical Sciences, Rafsanjan, Iran; USERN Office, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Erfan Shahabinejad
- Student Research Committee, Rafsanjan University of Medical Sciences, Rafsanjan, Iran; USERN Office, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Somayeh Ghorbani
- Department of Laboratory Sciences, Faculty of Paramedicine, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Fatemeh Asadi
- Molecular Medicine Research Center, Research Institute of Basic Medical Sciences, Rafsanjan University of Medical Sciences, Rafsanjan, Iran; Cancer and Stem Cell Research Laboratory, Faculty of Paramedicine, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Ali Hosseini-Chegeni
- Cancer and Stem Cell Research Laboratory, Faculty of Paramedicine, Rafsanjan University of Medical Sciences, Rafsanjan, Iran; Department of Pharmacology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Aliakbar Yousefi-Ahmadipour
- Immunology of Infectious Diseases Research Center, Research Institute of Basic Medical Sciences, Rafsanjan University of Medical Sciences, Rafsanjan, Iran; Department of Laboratory Sciences, Faculty of Paramedicine, Rafsanjan University of Medical Sciences, Rafsanjan, Iran; Student Research Committee, Rafsanjan University of Medical Sciences, Rafsanjan, Iran; Molecular Medicine Research Center, Research Institute of Basic Medical Sciences, Rafsanjan University of Medical Sciences, Rafsanjan, Iran; Cancer and Stem Cell Research Laboratory, Faculty of Paramedicine, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
| | - Mohammad Hossein Kamrani
- Immunology of Infectious Diseases Research Center, Research Institute of Basic Medical Sciences, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
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Yokota S, Yonezawa T, Momoi Y, Maeda S. Myeloid derived suppressor cells in peripheral blood can be a prognostic factor in canine transitional cell carcinoma. Vet Immunol Immunopathol 2024; 269:110716. [PMID: 38308864 DOI: 10.1016/j.vetimm.2024.110716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 01/09/2024] [Accepted: 01/15/2024] [Indexed: 02/05/2024]
Abstract
Myeloid-derived suppressor cells (MDSCs) are immature cells with immunosuppressive properties found in the tumor microenvironment. MDSCs are divided into two major subsets: polymorphonuclear MDSCs (PMN-MDSCs) and monocytic MDSCs (M-MDSCs). Both MDSC subsets contribute to the creation of an immunosuppressive environment for tumor progression. In humans, patients with high levels of MDSCs show worse outcomes for several types of cancers. However, the association between MDSCs and clinical features has rarely been investigated in canine studies. In the present study, we measured the proportion of PMN-MDSCs and M-MDSCs in the peripheral blood and tumor tissue of dogs with hepatocellular carcinoma (HCC), prostate cancer (PC), transitional cell carcinoma (TCC), lymphoma, and pulmonary adenocarcinoma. Additionally, we examined immunosuppressive ability of PMN-MDSCs and M-MDSCs in peripheral blood mononuclear cells of TCC case on CD4+, CD8+ and interferon-γ+ cells and investigated the relationships of MDSCs with clinical features and outcomes. PMN-MDSCs increased in HCC, PC, TCC, and lymphoma. In contrast, M-MDSCs increased in the TCC. Both PMN-MDSCs and M-MDSCs exhibited immunosuppressive effects on CD8+, CD4+ and interferon-γ+ cells. In dogs with TCC, lymph node metastasis was associated with high level of PMN-MDSCs but not with M-MDSCs. High levels of both PMN-MDSCs and M-MDSCs were related to advanced tumor stage. Kaplan-Meier analysis revealed that high levels of both PMN-MDSCs and M-MDSCs were significantly associated with shorter overall survival. In addition, the Cox proportional hazard regression model showed that M-MDSCs and the tumor stage were independent prognostic factors for TCC. These results suggest that PMN-MDSCs and M-MDSCs may be involved in tumor progression and could be prognostic factors and promising therapeutic targets in dogs with TCC.
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Affiliation(s)
- Shohei Yokota
- Department of Veterinary Clinical Pathobiology, Guraduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Tomohiro Yonezawa
- Department of Veterinary Clinical Pathobiology, Guraduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Yasuyuki Momoi
- Department of Veterinary Clinical Pathobiology, Guraduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Shingo Maeda
- Department of Veterinary Clinical Pathobiology, Guraduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan.
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Lee S, Kang BH, Lee HB, Jang BS, Han W, Kim IA. B-Cell-Mediated Immunity Predicts Survival of Patients With Estrogen Receptor-Positive Breast Cancer. JCO Precis Oncol 2024; 8:e2300263. [PMID: 38452311 DOI: 10.1200/po.23.00263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 12/21/2023] [Accepted: 01/11/2024] [Indexed: 03/09/2024] Open
Abstract
PURPOSE The estrogen receptor-positive (ER+) breast cancer (BC), which constitutes the majority of BC cases, exhibits highly heterogeneous clinical behavior. To aid precision treatments, we aimed to find molecular subtypes of ER+ BC representing the tumor microenvironment and prognosis. METHODS We analyzed RNA-seq data of 113 patients with BC and classified them according to the PAM50 intrinsic subtypes using gene expression profiles. Among them, we further focused on 44 patients with luminal-type (ER+) BC for subclassification. The Cancer Genome Atlas (TCGA) data of patients with BC were used as a validation data set to verify the new classification. We estimated the immune cell composition using CIBERSORT and further analyzed its association with clinical or molecular parameters. RESULTS Principal component analysis clearly divided the patients into two subgroups separately from the luminal A and B classification. The top differentially expressed genes between the subgroups were distinctly characterized by immunoglobulin and B-cell-related genes. We could also cluster a separate cohort of patients with luminal-type BC from TCGA into two subgroups on the basis of the expression of a B-cell-specific gene set, and patients who were predicted to have high B-cell immune activity had better prognoses than other patients. CONCLUSION Our transcriptomic approach emphasize a molecular phenotype of B-cell immunity in ER+ BC that may help to predict disease prognosis. Although further researches are required, B-cell immunity for patients with ER+ BC may be helpful for identifying patients who are good responders to chemotherapy or immunotherapy.
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Affiliation(s)
- Seungbok Lee
- Department of Genomic Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Byung-Hee Kang
- Department of Radiation Oncology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Radiation Oncology, Ewha Womans University Seoul Hospital, Seoul, Republic of Korea
| | - Han-Byoel Lee
- Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Bum-Sup Jang
- Department of Radiation Oncology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Wonshik Han
- Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
| | - In Ah Kim
- Department of Radiation Oncology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Radiation Oncology and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
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de Mello RA, Perez KR, Vazquez TP. Current and future trends in neoadjuvant immunotherapy for the treatment of triple-negative breast cancer. Immunotherapy 2024; 16:257-266. [PMID: 38197149 DOI: 10.2217/imt-2022-0277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024] Open
Abstract
Triple-negative breast cancer (TNBC) comprises 15-20% of all breast cancers (BC). Lacking targeted therapy options, TNBC becomes the focal point of clinical investigations aiming not only to identify drugs with enhanced response potential but also to uncover new immunological and/or metabolic pathways conducive to more effective treatments. Currently, neoadjuvant treatment for TNBC relies on standard chemotherapy in conjunction with immunotherapy, given the improved response observed with this drug combination. This review delves into the latest therapeutic updates in TNBC treatment and explores potential advancements shaping the future landscape of this disease in the neoadjuvant setting.
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Affiliation(s)
- Ramon Andrade de Mello
- Department of Oncology, Oxford Cancer Center, Oxford University Hospitals NHS Foundation Trust, Churchill Hospital, OX3 7LE, Oxford, UK
- Department of Oncology, University of Oxford, OX3 7ER, Oxford, UK
- Post Graduation Program in Medicine, Faculty of Medicine, Nine of July University, 015250-000, São Paulo, Brazil
| | - Kátia Roque Perez
- Post Graduation Program in Medicine, Faculty of Medicine, Nine of July University, 015250-000, São Paulo, Brazil
- Instituto Nacional de Enfermedades Neoplasicas, Lima, Peru
| | - Thais Pérez Vazquez
- São Paulo Cancer Institute, University of São Paulo, São Paulo, 01246-000, Brazil
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Qin S, Xu Y, Yu S, Han W, Fan S, Ai W, Zhang K, Wang Y, Zhou X, Shen Q, Gong K, Sun L, Zhang Z. Molecular classification and tumor microenvironment characteristics in pheochromocytomas. eLife 2024; 12:RP87586. [PMID: 38407266 PMCID: PMC10942623 DOI: 10.7554/elife.87586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/27/2024] Open
Abstract
Pheochromocytomas (PCCs) are rare neuroendocrine tumors that originate from chromaffin cells in the adrenal gland. However, the cellular molecular characteristics and immune microenvironment of PCCs are incompletely understood. Here, we performed single-cell RNA sequencing (scRNA-seq) on 16 tissues from 4 sporadic unclassified PCC patients and 1 hereditary PCC patient with Von Hippel-Lindau (VHL) syndrome. We found that intra-tumoral heterogeneity was less extensive than the inter-individual heterogeneity of PCCs. Further, the unclassified PCC patients were divided into two types, metabolism-type (marked by NDUFA4L2 and COX4I2) and kinase-type (marked by RET and PNMT), validated by immunohistochemical staining. Trajectory analysis of tumor evolution revealed that metabolism-type PCC cells display phenotype of consistently active metabolism and increased metastasis potential, while kinase-type PCC cells showed decreased epinephrine synthesis and neuron-like phenotypes. Cell-cell communication analysis showed activation of the annexin pathway and a strong inflammation reaction in metabolism-type PCCs and activation of FGF signaling in the kinase-type PCC. Although multispectral immunofluorescence staining showed a lack of CD8+ T cell infiltration in both metabolism-type and kinase-type PCCs, only the kinase-type PCC exhibited downregulation of HLA-I molecules that possibly regulated by RET, suggesting the potential of combined therapy with kinase inhibitors and immunotherapy for kinase-type PCCs; in contrast, the application of immunotherapy to metabolism-type PCCs (with antigen presentation ability) is likely unsuitable. Our study presents a single-cell transcriptomics-based molecular classification and microenvironment characterization of PCCs, providing clues for potential therapeutic strategies to treat PCCs.
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Affiliation(s)
- Sen Qin
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Department of Urology, Peking University First Hospital, Peking University Health Science CenterBeijingChina
| | - Yawei Xu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Department of Urology, Peking University First Hospital, Peking University Health Science CenterBeijingChina
| | - Shimiao Yu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Department of Urology, Peking University First Hospital, Peking University Health Science CenterBeijingChina
| | - Wencong Han
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Department of Urology, Peking University First Hospital, Peking University Health Science CenterBeijingChina
| | - Shiheng Fan
- Shenzhen Institute of Ladder for Cancer ResearchShenzhenChina
| | - Wenxiang Ai
- Shenzhen Institute of Ladder for Cancer ResearchShenzhenChina
| | - Kenan Zhang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Department of Urology, Peking University First Hospital, Peking University Health Science CenterBeijingChina
| | - Yizhou Wang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Department of Urology, Peking University First Hospital, Peking University Health Science CenterBeijingChina
| | - Xuehong Zhou
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Department of Urology, Peking University First Hospital, Peking University Health Science CenterBeijingChina
| | - Qi Shen
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Department of Urology, Peking University First Hospital, Peking University Health Science CenterBeijingChina
| | - Kan Gong
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Department of Urology, Peking University First Hospital, Peking University Health Science CenterBeijingChina
| | - Luyang Sun
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Department of Urology, Peking University First Hospital, Peking University Health Science CenterBeijingChina
| | - Zheng Zhang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Department of Urology, Peking University First Hospital, Peking University Health Science CenterBeijingChina
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Fang S, Xia W, Zhang H, Ni C, Wu J, Mo Q, Jiang M, Guan D, Yuan H, Chen W. A real-world clinicopathological model for predicting pathological complete response to neoadjuvant chemotherapy in breast cancer. Front Oncol 2024; 14:1323226. [PMID: 38420013 PMCID: PMC10899694 DOI: 10.3389/fonc.2024.1323226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 01/29/2024] [Indexed: 03/02/2024] Open
Abstract
Purpose This study aimed to develop and validate a clinicopathological model to predict pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in breast cancer patients and identify key prognostic factors. Methods This retrospective study analyzed data from 279 breast cancer patients who received NAC at Zhejiang Provincial People's Hospital from 2011 to 2021. Additionally, an external validation dataset, comprising 50 patients from Lanxi People's Hospital and Second Affiliated Hospital, Zhejiang University School of Medicine from 2022 to 2023 was utilized for model verification. A multivariate logistic regression model was established incorporating clinical, ultrasound features, circulating tumor cells (CTCs), and pathology variables at baseline and post-NAC. Model performance for predicting pCR was evaluated. Prognostic factors were identified using survival analysis. Results In the 279 patients enrolled, a pathologic complete response (pCR) rate of 27.96% (78 out of 279) was achieved. The predictive model incorporated independent predictors such as stromal tumor-infiltrating lymphocyte (sTIL) levels, Ki-67 expression, molecular subtype, and ultrasound echo features. The model demonstrated strong predictive accuracy for pCR (C-statistics/AUC 0.874), especially in human epidermal growth factor receptor 2 (HER2)-enriched (C-statistics/AUC 0.878) and triple-negative (C-statistics/AUC 0.870) subtypes, and the model performed well in external validation data set (C-statistics/AUC 0.836). Incorporating circulating tumor cell (CTC) changes post-NAC and tumor size changes further improved predictive performance (C-statistics/AUC 0.945) in the CTC detection subgroup. Key prognostic factors included tumor size >5cm, lymph node metastasis, sTIL levels, estrogen receptor (ER) status and pCR. Despite varied pCR rates, overall prognosis after standard systemic therapy was consistent across molecular subtypes. Conclusion The developed predictive model showcases robust performance in forecasting pCR in NAC-treated breast cancer patients, marking a step toward more personalized therapeutic strategies in breast cancer.
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Affiliation(s)
- Shan Fang
- Center for Rehabilitation Medicine, Rehabilitation & Sports Medicine Research Institute of Zhejiang Province, Department of Rehabilitation Medicine, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Wenjie Xia
- General Surgery, Cancer Center, Department of Breast Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Haibo Zhang
- Cancer Center, Department of Radiation Oncology, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Chao Ni
- Department of Breast Surgery (Surgical Oncology), Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jun Wu
- General Surgery, Cancer Center, Department of Breast Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Qiuping Mo
- General Surgery, Cancer Center, Department of Breast Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Mengjie Jiang
- Department of Radiotherapy, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
| | - Dandan Guan
- General Surgery, Cancer Center, Department of Breast Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Hongjun Yuan
- General Surgery, Cancer Center, Department of Breast Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Wuzhen Chen
- Department of Oncology, Lanxi People’s Hospital, Jinhua, China
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Hanamura T, Yokoyama K, Kitano S, Kagamu H, Yamashita M, Terao M, Okamura T, Kumaki N, Hozumi K, Iwamoto T, Honda C, Kurozumi S, Richer JK, Niikura N. Investigating the immunological function of alpha-2-glycoprotein 1, zinc-binding in regulating tumor response in the breast cancer microenvironment. Cancer Immunol Immunother 2024; 73:42. [PMID: 38349455 PMCID: PMC10864576 DOI: 10.1007/s00262-024-03629-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 01/07/2024] [Indexed: 02/15/2024]
Abstract
BACKGROUND Alpha-2-glycoprotein 1, zinc-binding (ZAG), a secreted protein encoded by the AZGP1 gene, is structurally similar to HLA class I. Despite its presumed immunological function, little is known about its role in tumor immunity. In this study, we thus aimed to determine the relationship between the expression of AZGP1/ZAG and the immunological profiles of breast cancer tissues at both the gene and protein level. METHODS Using a publicly available gene expression dataset from a large-scale breast cancer cohort, we conducted gene set enrichment analysis (GSEA) to screen the biological processes associated with AZGP1. We analyzed the correlation between AZGP1 expression and immune cell composition in breast cancer tissues, estimated using CIBERSORTx. Previously, we evaluated the infiltration of 11 types of immune cells for 45 breast cancer tissues using flow cytometry (FCM). ZAG expression was evaluated by immunohistochemistry on these specimens and analyzed for its relationship with immune cell infiltration. The action of ZAG in M1/M2 polarization models using primary cultures of human peripheral blood mononuclear cells (PBMC)-derived macrophage (Mφ) was analyzed based on the expression of M1/M2 markers (CD86, CD80/CD163, MRC1) and HLA class I/II by FCM. RESULTS AZGP1 expression was negatively correlated with multiple immunological processes and specific immune cell infiltration including Mφ M1 using GSEA and CIBERSORTx. ZAG expression was associated with decreased infiltration of monocytes/macrophages, non-classical monocytes, and myeloid-derived suppressor cells in tumor tissues assessed using FCM. In in vitro analyses, ZAG decreased the expression of CD80, CD163, MRC1, and HLA classes I/II in the M1 polarization model and the expression of CD163 and MRC1 in the M2 polarization model. CONCLUSION ZAG is suggested to be a novel immunoregulatory factor affecting the Mφ phenotype in breast cancer tissues.
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Affiliation(s)
- Toru Hanamura
- Department of Breast Oncology, Tokai University School of Medicine, 143 Shimokasuya, Isehara-shi, Kanagawa Prefecture, 259-1193, Japan.
| | - Kozue Yokoyama
- Department of Breast Oncology, Tokai University School of Medicine, 143 Shimokasuya, Isehara-shi, Kanagawa Prefecture, 259-1193, Japan
| | - Shigehisa Kitano
- Division of Cancer Immunotherapy Development, Department of Advanced Medical Development, The Cancer Institute Hospital of JFCR, 3-8-31, Ariake, Koto, Tokyo, 135-8550, Japan
| | - Hiroshi Kagamu
- Division of Respiratory Medicine, Saitama Medical University International Medical Center, 1397-1, Yamane, Hidaka-shi, Saitama Prefecture, 350-1298, Japan
| | - Makiko Yamashita
- Division of Cancer Immunotherapy Development, Department of Advanced Medical Development, The Cancer Institute Hospital of JFCR, 3-8-31, Ariake, Koto, Tokyo, 135-8550, Japan
| | - Mayako Terao
- Department of Breast Oncology, Tokai University School of Medicine, 143 Shimokasuya, Isehara-shi, Kanagawa Prefecture, 259-1193, Japan
| | - Takuho Okamura
- Department of Breast Oncology, Tokai University School of Medicine, 143 Shimokasuya, Isehara-shi, Kanagawa Prefecture, 259-1193, Japan
| | - Nobue Kumaki
- Department of Pathology, Tokai University School of Medicine, 143 Shimokasuya, Isehara-shi, Kanagawa Prefecture, 259-1193, Japan
| | - Katsuto Hozumi
- Department of Immunology, Tokai University School of Medicine, 143 Shimokasuya, Isehara-shi, Kanagawa Prefecture, 259-1193, Japan
| | - Takayuki Iwamoto
- Kawasaki Medical School Hospital, Breast and Thyroid Surgery, 577 Matsushima, Kurashiki-shi, Okayama Prefecture, 701-0192, Japan
| | - Chikako Honda
- Department of General Surgical Science, Gunma University Graduate School of Medicine, 39-22, Showa-Machi 3-Chome, Maebashi-shi, Gunma Prefecture, 371-8511, Japan
| | - Sasagu Kurozumi
- Department of Breast Surgery, International University of Health and Welfare, 4-3, Kozunomori, Narita-shi, Chiba Prefecture, 286-8686, Japan
| | - Jennifer K Richer
- Department of Pathology, University of Colorado Anschutz Medical Campus, 12800 East 19th Avenue, Mailstop 8104, Aurora, CO, 80045, USA
| | - Naoki Niikura
- Department of Breast Oncology, Tokai University School of Medicine, 143 Shimokasuya, Isehara-shi, Kanagawa Prefecture, 259-1193, Japan
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Xue X, Feng Q, Hong X, Lin Z, Luo Y, Li Y, Yao G, Wang N, Chen L. Comprehensive analysis of ALG3 in pan-cancer and validation of ALG3 as an onco-immunological biomarker in breast cancer. Aging (Albany NY) 2024; 16:2320-2339. [PMID: 38329424 PMCID: PMC10911369 DOI: 10.18632/aging.205483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 12/14/2023] [Indexed: 02/09/2024]
Abstract
ALG3 has significant modulatory function in the process of tumor development. Yet how ALG3 involves in the advancement of different malignancies isn't fully understood. We performed a pan-cancer assessment on ALG3 utilizing datasets from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) to examine its tumor-related roles across malignancies and its link to particular molecules and cells in the tumor microenvironment (TME). Furthermore, we focused on breast cancer to examine the influence of ALG3-mediated signaling pathways and intercellular interactions in the advancement of tumors. The biological effects of ALG3 were verified by breast cancer cells. Enhanced ALG3 expression was discovered to be substantially linked to patients' grim prognoses in a number of malignancies. Furthermore, the expression of ALG3 in the TME was linked to the infiltration of stromal and immune cells, and ALG3-related immune checkpoints, TMB, and MSI were also discovered. We also discovered that cancer patients having a high level of ALG3 exhibited a lower probability of benefiting from immunotherapy. Furthermore, our research found that KEGG enrichment, single-cell RNA and spatial sequencing analyses were effective in identifying key signaling pathways in ALG3-associated tumor growth. In vitro, knockdown of ALG3 could decrease the proliferation of breast cancer cells. In summary, our research offers a comprehensive insight into the advancement of tumors under the mediation of ALG3. ALG3 appears to be intimately associated with tumor development in the TME. ALG3 might be a viable treatment target for cancer therapy, particularly in the case of breast cancer.
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Affiliation(s)
- Xiaolei Xue
- Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Qiaoli Feng
- Breast Center, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Xi Hong
- Breast Center, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Zhousheng Lin
- Breast Center, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Yingrui Luo
- Basic Medical Academy, Cancer Research Institute, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Yingshi Li
- Basic Medical Academy, Cancer Research Institute, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Guangyu Yao
- Breast Center, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Nisha Wang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Lujia Chen
- Breast Center, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
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Yang W, Liu S, Mao M, Gong Y, Li X, Lei T, Liu C, Wu S, Hu Q. T-cell infiltration and its regulatory mechanisms in cancers: insights at single-cell resolution. J Exp Clin Cancer Res 2024; 43:38. [PMID: 38303018 PMCID: PMC10835979 DOI: 10.1186/s13046-024-02960-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/19/2024] [Indexed: 02/03/2024] Open
Abstract
Tumor-infiltrating T cells recognize, attack, and clear tumor cells, playing a central role in antitumor immune response. However, certain immune cells can impair this response and help tumor immune escape. Therefore, exploring the factors that influence T-cell infiltration is crucial to understand tumor immunity and improve therapeutic effect of cancer immunotherapy. The use of single-cell RNA sequencing (scRNA-seq) allows the high-resolution analysis of the precise composition of immune cells with different phenotypes and other microenvironmental factors, including non-immune stromal cells and the related molecules in the tumor microenvironment of various cancer types. In this review, we summarized the research progress on T-cell infiltration and the crosstalk of other stromal cells and cytokines during T-cell infiltration using scRNA-seq to provide insights into the mechanisms regulating T-cell infiltration and contribute new perspectives on tumor immunotherapy.
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Affiliation(s)
- Wenhui Yang
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Shimao Liu
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Mengyun Mao
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Yandong Gong
- State Key Laboratory of Experimental Hematology, Senior Department of Hematology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, 100071, China
| | - Xiaohui Li
- Department of Medical Oncology, Peking University First Hospital, Beijing, 100034, China
| | - Tianyu Lei
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Chao Liu
- Department of Radiation Oncology, Peking University First Hospital, Beijing, 100034, China.
| | - Shikai Wu
- Department of Medical Oncology, Peking University First Hospital, Beijing, 100034, China.
| | - Qinyong Hu
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
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