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Shin E, Kim HM, Koo JS. CD68 positive and/or CD163 positive tumor-associated macrophages and PD-L1 expression in breast phyllodes tumor. Breast Cancer Res Treat 2025; 209:261-273. [PMID: 39242456 DOI: 10.1007/s10549-024-07487-4] [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: 06/12/2024] [Accepted: 08/28/2024] [Indexed: 09/09/2024]
Abstract
INTRODUCTION PD-L1 expression and tumor-associated macrophage (TAM) status in phyllodes tumors (PT) have only been examined in a limited number of studies. This study aimed to investigate the expression of PD-L1 and TAM in breast PT and examine their implications. METHODS Tissue microarrays were constructed from 181 PT samples, and immunohistochemistry for PD-L1 antibodies (SP142, SP263, and 22C3) and TAM markers (CD68 and CD163) were performed. The staining results were compared and analyzed with clinicopathological parameters. RESULTS Of the 181 samples, 149 were benign, 27 were borderline, and five were malignant. The number of CD68- and/or CD163-positive TAMs increased with increasing PT grades (P < 0.001), and the number of CD68-positive TAMs was significantly positively correlated with that of CD163-positive TAMs (R = 0.704, P < 0.001). Some of the CD68- and/or CD163-positive cells exhibited positivity for actin staining, displaying hybrid characteristics that resemble both histiocytes and myofibroblasts. PD-L1 SP263 tumor cells and PD-L1 SP263 immune cells were the most expressed in malignant PTs (P < 0.001). The number of CD68- and/or CD163-positive TAMs increased when PD-L1 SP263 immune cells were expressed (P < 0.001). The number of CD68- and/or CD163-positive TAMs was positively correlated with PD-L1 22C3 immune cells (R = 0.299, P < 0.001 and R = 0.336, P < 0.001, respectively). Univariate analysis showed that PD-L1 SP263 immune cell expression (P = 0.016) was associated with shorter disease-free survival and that PD-L1 22C3 tumor cell expression (P < 0.001) was associated with shorter overall survival. CONCLUSION The number of CD68- and/or CD163-positive cells increases with increasing PT histological grade, and these cells exhibit hybrid characteristics, resembling both histiocyte and myofibroblasts.
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Affiliation(s)
- Eunah Shin
- Department of Pathology, Yonsei University College of Medicine, Seoul, South Korea
| | - Hye Min Kim
- Department of Pathology, Yonsei University College of Medicine, Seoul, South Korea
| | - Ja Seung Koo
- Department of Pathology, Yonsei University College of Medicine, Seoul, South Korea.
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Kim HM, Koo JS. Programmed death-ligand 1 expression in carcinoma of unknown primary. BMC Cancer 2024; 24:689. [PMID: 38844907 PMCID: PMC11155179 DOI: 10.1186/s12885-024-12437-w] [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: 02/19/2024] [Accepted: 05/28/2024] [Indexed: 06/10/2024] Open
Abstract
We examined the expression of programmed death-ligand 1 (PD-L1) in carcinoma of unknown primary (CUP) and its potential implications. Tissue microarrays were constructed for 72 CUP cases (histologic subtypes: 22 adenocarcinoma, 15 poorly differentiated carcinoma, 19 squamous cell carcinoma, and 14 undifferentiated carcinoma; clinical subtype: favorable type 17 [23.6%], unfavorable type 55 [76.4%]), with immunohistochemical staining performed for PD-L1 (22C3, SP142, SP263, and 28 - 8), CK7, and CK20 to determine the association between staining results and clinicopathological parameters. In CUP, the PD-L1 positivity rate was 5.6-48.6% (tumor cells [TC] or tumor proportion score [TPS]: 5.6-36.1%, immune cell score [IC]: 8.3-48.6%, combined positive score [CPS]: 16.7%) using different cutoff values for 22C3 (TPS ≥ 1%, CPS ≥ 10), SP142 (TC ≥ 50%, IC ≥ 10%), SP263, and 28 - 8 (TC and IC ≥ 1%). PD-L1 SP142 TC and PD-L1 SP263 IC showed the lowest (5.6%) and highest (48.6%) positivity rates, respectively. The PD-L1 positivity rate did not significantly differ based on the histologic subtype, clinical subtype, or CK7/CK20 across clones. Considering TC κ ≥ 1%, TC κ ≥ 50%, IC κ ≥ 1%, and IC κ ≥ 10%, the PD-L1 positivity rate was TC = 4.2-36.1% and IC = 9.7-48.6%; the overall agreement between antibodies ranged from 69.4 to 93.1%, showing fair or better agreement (κ ≥ 0.21). In CUP, PD-L1 positivity varied depending on antibodies and scoring systems, with no difference observed according to histologic or clinical subtypes.
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Affiliation(s)
- Hye Min Kim
- Department of Pathology, Yonsei University College of Medicine, Seoul, South Korea
| | - Ja Seung Koo
- Department of Pathology, Yonsei University College of Medicine, Seoul, South Korea.
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3
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Layfield LJ, Zhang T, Esebua M. PD-L1 immunohistochemical testing: A review with reference to cytology specimens. Diagn Cytopathol 2023; 51:51-58. [PMID: 36053989 DOI: 10.1002/dc.25043] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 07/29/2022] [Accepted: 08/02/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND Immunotherapy based on disruption of the PD-1/PD-L1 axis is standard of care for many high stage malignancies including melanomas, non-small cell carcinomas of the lung, triple negative breast carcinomas, and squamous cell carcinomas of the head and neck. Eligibility for immunotherapy requires immunohistochemical assessment of PD-L1 expression. Currently, many high stage malignancies are diagnosed by cytology and cytologic material is the only specimen available for ancillary testing. Formal guidelines do not currently exist defining the optimal specimen type, antibody to be used or the best scoring system for cytologic material. Significant information has been published for PD-L1 testing of pulmonary specimens but much less data exists for the reproducibility, accuracy and best practices for material obtained from other body sites and types of malignancy. METHODS We searched the PubMed data base for manuscripts relating to PD-L1 testing of cytologic specimens. The search period was between 2016 and 2022. The search terms used were PD-L1, cytology, FNA, immunotherapy, immunohistochemistry, immunocytochemistry, cytology-histology correlation. Cross referencing techniques were used to screen for the most relevant manuscripts. The abstracts of these were then reviewed for final data collection and analysis. RESULTS A total of 86 studies were identified conforming to study relevancy. These were reviewed in their entirety by two authors (LJL, TZ) for extraction of data. The majority of studies involved pulmonary specimens (79) with three relating to PD-L1 testing of head and neck cytologic specimens and one each for PD-L1 testing of cytology specimens from melanomas, pancreas, pleural fluids, and triple negative breast carcinomas. While smears could be used, most studies found cell blocks optimal for testing. SUMMARY Currently, four drugs are approved for immunotherapy based on PD-L1 status. These drugs require specific antibody clones as well as scoring systems. Scoring systems and cut points vary with the type of neoplasm being treated. Cytology specimens from the lung, head and neck and melanomas can all be used for PD-L1 testing with good agreement with corresponding histology specimens.
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Affiliation(s)
- Lester J Layfield
- Department of Pathology and Anatomical Sciences, University of Missouri, Columbia, Missouri, USA
| | - Tao Zhang
- Department of Surgical Pathology, M.D. Anderson, Houston, Texas, USA
| | - Magda Esebua
- Department of Pathology and Anatomical Sciences, University of Missouri, Columbia, Missouri, USA
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4
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Li L, Wen Y, Wrapp D, Jeong J, Zhao P, Xiong W, Atkins CL, Shan Z, Hui D, McLellan JS, Zhang N, Ju C, An Z. A novel humanized Chi3l1 blocking antibody attenuates acetaminophen-induced liver injury in mice. Antib Ther 2022; 6:1-12. [PMID: 36683763 PMCID: PMC9847341 DOI: 10.1093/abt/tbac027] [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: 08/01/2022] [Revised: 10/24/2022] [Accepted: 10/27/2022] [Indexed: 11/09/2022] Open
Abstract
Acetaminophen (APAP) overdose is a leading cause of acute liver injury in the USA. The chitinase 3-like-1 (Chi3l1) protein contributes to APAP-induced liver injury (AILI) by promoting hepatic platelet recruitment. Here, we report the development of a Chi3l1-targeting antibody as a potential therapy for AILI. By immunizing a rabbit successively with the human and mouse Chi3l1 proteins, we isolated cross-reactive monoclonal antibodies (mAbs) from single memory B cells. One of the human and mouse Chi3l1 cross-reactive mAbs was humanized and characterized in both in vitro and in vivo biophysical and biological assays. X-ray crystallographic analysis of the lead antibody C59 in complex with the human Chi3l1 protein revealed that the kappa light contributes to majority of the antibody-antigen interaction; and that C59 binds to the 4α-5β loop and 4α-helix of Chi3l1, which is a functional epitope and hotspot for the development of Chi3l1 blocking antibodies. We humanized the C59 antibody by complementarity-determining region grafting and kappa chain framework region reverse mutations. The humanized C59 antibody exhibited similar efficacy as the parental rabbit antibody C59 in attenuating AILI in vivo. Our findings validate Chi3l1 as a potential drug target for AILI and provide proof of concept of developing Chi3l1 blocking antibody as a therapy for the treatment of AILI.
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Affiliation(s)
- Leike Li
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Yankai Wen
- Department of Anesthesiology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Daniel Wrapp
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA
| | - Jongmin Jeong
- Department of Anesthesiology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Peng Zhao
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Wei Xiong
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Constance Lynn Atkins
- Department of Anesthesiology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Zhao Shan
- Department of Anesthesiology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA,Center for Life Sciences, School of Life Sciences, Yunnan University, Kunming 650106, China
| | - Deng Hui
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jason S McLellan
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA
| | - Ningyan Zhang
- To whom correspondence should be addressed. Ningyan Zhang, Cynthia Ju, Zhiqiang An. , ,
| | - Cynthia Ju
- To whom correspondence should be addressed. Ningyan Zhang, Cynthia Ju, Zhiqiang An. , ,
| | - Zhiqiang An
- To whom correspondence should be addressed. Ningyan Zhang, Cynthia Ju, Zhiqiang An. , ,
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Study on Effects of Cyclophosphamide Combined with Vinorelbine in Advanced Small Cell Lung Cancer and Anteroposterior Changes in MRI. CONTRAST MEDIA & MOLECULAR IMAGING 2022; 2022:3104879. [PMID: 36043147 PMCID: PMC9377958 DOI: 10.1155/2022/3104879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/05/2022] [Accepted: 07/14/2022] [Indexed: 11/18/2022]
Abstract
Objective. To explore the effects of cyclophosphamide combined with vinorelbine in advanced small cell lung cancer (SCLC) and anteroposterior changes in MRI. Methods. The clinical data of 90 patients with advanced SCLC admitted to our hospital from April 2020 to April 2021 were retrospectively analyzed. They were divided into the control group and the study group according to the order of admission, with 45 cases in each group. The control group received the routine treatment, while the study group was treated with cyclophosphamide and vinorelbine to compare the indexes of imaging data and clinical indicators between the two groups before and after treatment. Results. There was no significant difference in the indexes of imaging data between the two groups before treatment
, and the indexes of imaging data in the study group were visibly lower than those in the control group after treatment
. The DCR in the study group was significantly higher than that in the control group after treatment
, while the QLQ-C30 scores and serum indices of the study group after treatment were significantly lower than those of the control group
. Conclusion. Patients with advanced SCLC were treated with cyclophosphamide and vinorelbine, which can effectively improve the quality of life and reduce the expression of inflammatory factors. This treatment model has a higher application value, and the treatment value is also reflected compared with the routine treatment. At the same time, the permeability parameters obtained by MRI can predict the therapeutic effects of cyclophosphamide and vinorelbine, and further studies are helpful to establish a better solution for patients.
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Satturwar S, Girolami I, Munari E, Ciompi F, Eccher A, Pantanowitz L. Program death ligand-1 immunocytochemistry in lung cancer cytological samples: A systematic review. Diagn Cytopathol 2022; 50:313-323. [PMID: 35293692 PMCID: PMC9310737 DOI: 10.1002/dc.24955] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 03/01/2022] [Accepted: 03/02/2022] [Indexed: 12/19/2022]
Abstract
In this era of personalized medicine, targeted immunotherapies like immune checkpoint inhibitors (ICI) blocking the programmed death-1 (PD-1)/program death ligand-1 (PD-L1) axis have become an integral part of treating advanced stage non-small cell lung carcinoma (NSCLC) and many other cancer types. Multiple monoclonal antibodies are available commercially to detect PD-L1 expression in tumor cells by immunohistochemistry (IHC). As most clinical trials initially required tumor biopsy for PD-L1 detection by IHC, many of the currently available PD-1/PD-L1 assays have been developed and validated on formalin fixed tissue specimens. The majority (>50%) of lung cancer cases do not have a surgical biopsy or resection specimen available for ancillary testing and instead must rely primarily on fine needle aspiration biopsy specimens for diagnosis, staging and ancillary tests. Review of the literature shows multiple studies exploring the feasibility of PD-L1 IHC on cytological samples. In addition, there are studies addressing various aspects of IHC validation on cytology preparations including pre-analytical (e.g., different fixatives), analytical (e.g., antibody clone, staining platforms, inter and intra-observer agreement, cytology-histology concordance) and post-analytical (e.g., clinical outcome) issues. Although promising results in this field have emerged utilizing cytology samples, many important questions still need to be addressed. This review summarizes the literature of PD-L1 IHC in lung cytology specimens and provides practical tips for optimizing analysis.
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Affiliation(s)
- Swati Satturwar
- Department of PathologyThe Ohio State UniversityColumbusOhioUSA
| | | | - Enrico Munari
- Pathology Unit, Department of Molecular and Translational MedicineUniversity of BresciaBresciaItaly
| | - Francesco Ciompi
- Computational Pathology Group, Department of PathologyRadboud University Medical CenterNijmegenNetherlands
| | - Albino Eccher
- Department of Pathology and DiagnosticsUniversity and Hospital Trust of VeronaVeronaItaly
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Shen X, Wang Y, Jin Y, Zheng Q, Shen L, Chen Y, Li Y. PD-L1 expression in non-small cell lung cancer: heterogeneity by pathologic types, tissue sampling and metastasis. J Thorac Dis 2021; 13:4360-4370. [PMID: 34422362 PMCID: PMC8339751 DOI: 10.21037/jtd-21-388] [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: 03/08/2021] [Accepted: 06/18/2021] [Indexed: 11/20/2022]
Abstract
Background Programmed cell death ligand-1 (PD-L1) is a predictive marker of anti-PD-1/PD-L1 therapy response. Intra-tumour heterogeneity of PD-L1 expression has been reported in non-small cell lung cancer (NSCLC), but comprehensive studies regarding the determination of PD-L1 expression in different materials are still lacking. Therefore, we aimed to compare PD-L1 expression in paired tumour samples and in different specimen types. Methods A total of 1,002 resected NSCLC specimens, 35 biopsy specimens and 54 endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) samples were performed PD-L1 immunohistochemistry (IHC) testing using the 22C3 assay. PD-L1 expression was evaluated using the tumour proportion score (TPS) and categorized into three levels: negative (TPS <1%), low expression (TPS 1–49%) and high expression (TPS ≥50%). Results A total of 1,002 resected NSCLC specimens, including 852 adenocarcinomas (ADCs) and 150 squamous cell carcinomas (SCCs); 35 paired biopsy and resected samples; 54 paired cell block and biopsy samples; 53 paired blocks from the same resected tissue and 49 paired primary and metastatic lesion samples were included in this study. Interestingly, high PD-L1 expression was significantly more frequent in poorly differentiated subtypes than in well-differentiated subtypes in the ADC subgroup (P<0.001). In the SCC subgroup, high PD-L1 expression was significantly more associated with the nonkeratinizing type than the keratinizing type (P=0.001). PD-L1 expression differed between cell blocks and matched biopsy specimens (discordance rate =11.1%, 6/54) and between biopsy and matched resected specimens (discordance rate =31.4%, 11/35). PD-L1 expression differed between different paraffin blocks from the same resected specimen (discordance rate =35.8%, 19/53), and the discordance rate of PD-L1 expression between primary tumours and matched lymph node metastases was 28.6% (14/49). Conclusions Discordant PD-L1 expression is not uncommon in NSCLC and warrants additional studies and serious consideration when interpreting PD-L1 test results. Initial negative test results may lead to repeat PD-L1 testing in additional samples or the use of a different clone if necessary.
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Affiliation(s)
- Xuxia Shen
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Shanghai Engineering Research Center of Artificial Intelligence Technology for Tumor Diseases, Shanghai, China
| | - Yue Wang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Shanghai Engineering Research Center of Artificial Intelligence Technology for Tumor Diseases, Shanghai, China
| | - Yan Jin
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Shanghai Engineering Research Center of Artificial Intelligence Technology for Tumor Diseases, Shanghai, China
| | - Qiang Zheng
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Shanghai Engineering Research Center of Artificial Intelligence Technology for Tumor Diseases, Shanghai, China
| | - Lei Shen
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Shanghai Engineering Research Center of Artificial Intelligence Technology for Tumor Diseases, Shanghai, China
| | - Ying Chen
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Shanghai Engineering Research Center of Artificial Intelligence Technology for Tumor Diseases, Shanghai, China
| | - Yuan Li
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Shanghai Engineering Research Center of Artificial Intelligence Technology for Tumor Diseases, Shanghai, China
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