1
|
Sun HK, Jiang WL, Zhang SL, Xu PC, Wei LM, Liu JB. Predictive value of tumor-infiltrating lymphocytes for neoadjuvant therapy response in triple-negative breast cancer: A systematic review and meta-analysis. World J Clin Oncol 2024; 15:920-935. [PMID: 39071463 PMCID: PMC11271722 DOI: 10.5306/wjco.v15.i7.920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 05/21/2024] [Accepted: 06/06/2024] [Indexed: 07/16/2024] Open
Abstract
BACKGROUND The association between tumor-infiltrating lymphocyte (TIL) levels and the response to neoadjuvant therapy (NAT) in patients with triple-negative breast cancer (TNBC) remains unclear. AIM To investigate the predictive potential of TIL levels for the response to NAT in TNBC patients. METHODS A systematic search of the National Center for Biotechnology Information PubMed database was performed to collect relevant published literature prior to August 31, 2023. The correlation between TIL levels and the NAT pathologic complete response (pCR) in TNBC patients was assessed using a systematic review and meta-analysis. Subgroup analysis, sensitivity analysis, and publication bias analysis were also conducted. RESULTS A total of 32 studies were included in this meta-analysis. The overall meta-analysis results indicated that the pCR rate after NAT treatment in TNBC patients in the high TIL subgroup was significantly greater than that in patients in the low TIL subgroup (48.0% vs 27.7%) (risk ratio 2.01; 95% confidence interval 1.77-2.29; P < 0.001, I 2 = 56%). Subgroup analysis revealed that the between-study heterogeneity originated from differences in study design, TIL level cutoffs, and study populations. Publication bias could have existed in the included studies. The meta-analysis based on different NAT protocols revealed that all TNBC patients with high levels of TILs had a greater rate of pCR after NAT treatment in all protocols (all P ≤ 0.01), and there was no significant between-protocol difference in the statistics among the different NAT protocols (P = 0.29). Additionally, sensitivity analysis demonstrated that the overall results of the meta-analysis remained consistent when the included studies were individually excluded. CONCLUSION TILs can serve as a predictor of the response to NAT treatment in TNBC patients. TNBC patients with high levels of TILs exhibit a greater NAT pCR rate than those with low levels of TILs, and this predictive capability is consistent across different NAT regimens.
Collapse
Affiliation(s)
- Hai-Kuan Sun
- Department of Thyroid and Breast Surgery, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang 471000, Henan Province, China
| | - Wen-Long Jiang
- Department of Thyroid and Breast Surgery, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang 471000, Henan Province, China
| | - Shi-Lei Zhang
- Department of Thyroid and Breast Surgery, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang 471000, Henan Province, China
| | - Peng-Cheng Xu
- Department of Thyroid and Breast Surgery, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang 471000, Henan Province, China
| | - Li-Min Wei
- Department of Thyroid and Breast Surgery, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang 471000, Henan Province, China
| | - Jiang-Bo Liu
- Department of Thyroid and Breast Surgery, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang 471000, Henan Province, China
| |
Collapse
|
2
|
Wei LJ, Fu J, Yang HX, Yang X, Liang HY, Luo RZ, Liu LL. Evaluation of pathological response to neoadjuvant chemotherapy in locally advanced cervical cancer. J Transl Med 2024; 22:655. [PMID: 39004706 PMCID: PMC11247755 DOI: 10.1186/s12967-024-05482-3] [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: 04/12/2024] [Accepted: 07/03/2024] [Indexed: 07/16/2024] Open
Abstract
Neoadjuvant chemotherapy (NACT) is a viable therapeutic option for women diagnosed locally advanced cervical cancer (LACC). However, the factors influencing pathological response are still controversial. We collected pair specimens of 185 LACC patients before and after receiving NACT and conducted histological evaluation. 8 fresh tissues pre-treatment were selected from the entire cohort to conducted immune gene expression profiling. A novel pathological grading system was established by comprehensively assessing the percentages of viable tumor, inflammatory stroma, fibrotic stroma, and necrosis in the tumor bed. Then, 185 patients were categorized into either the good pathological response (GPR) group or the poor pathological response (PPR) group post-NACT, with 134 patients (72.4%, 134/185) achieving GPR. Increasing tumor-infiltrating lymphocytes (TILs) and tumor-infiltrating lymphocytes volume (TILV) pre-treatment were correlated with GPR, with TILV emerging as an independent predictive factor for GPR. Additionally, CIBERSORT analysis revealed noteworthy differences in the expression of immune makers between cPR and non-cPR group. Furthermore, a significantly heightened density of CD8 + T cells and a reduced density of FOXP3 + T cells were observed in GPR than PPR. Importantly, patients exhibiting GPR or inflammatory type demonstrated improved overall survival and disease-free survival. Notably, stromal type was an independent prognostic factor in multivariate analysis. Our study indicates the elevated TILV in pre-treatment specimens may predict a favorable response to NACT, while identifying stromal type in post-treatment specimens as an independent prognostic factor. Moreover, we proposed this pathological grading system in NACT patients, which may offer a more comprehensive understanding of treatment response and prognosis.
Collapse
Affiliation(s)
- Li-Jun Wei
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
- Department of Pathology, Sun Yat-sen University Cancer Center, 651# Dong Feng Road East, Guangzhou, 510060, Guangdong, China
| | - Jia Fu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
- Department of Pathology, Sun Yat-sen University Cancer Center, 651# Dong Feng Road East, Guangzhou, 510060, Guangdong, China
| | - Hai-Xia Yang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
- Department of Pathology, The Second Affiliated Hospital of Shenzhen University, Shenzhen, 518101, China
| | - Xia Yang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
- Department of Pathology, Sun Yat-sen University Cancer Center, 651# Dong Feng Road East, Guangzhou, 510060, Guangdong, China
| | - Hao-Yu Liang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
- Department of Pathology, Sun Yat-sen University Cancer Center, 651# Dong Feng Road East, Guangzhou, 510060, Guangdong, China
| | - Rong-Zhen Luo
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
- Department of Pathology, Sun Yat-sen University Cancer Center, 651# Dong Feng Road East, Guangzhou, 510060, Guangdong, China.
| | - Li-Li Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
- Department of Pathology, Sun Yat-sen University Cancer Center, 651# Dong Feng Road East, Guangzhou, 510060, Guangdong, China.
| |
Collapse
|
3
|
Li F, Zhou X, Hu W, Du Y, Sun J, Wang Y. Prognostic predictive value of Ki-67 in stage I-II triple-negative breast cancer. Future Sci OA 2024; 10:FSO936. [PMID: 38827797 PMCID: PMC11140645 DOI: 10.2144/fsoa-2023-0129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 11/06/2023] [Indexed: 06/05/2024] Open
Abstract
Aim: Our research aimed to determine an optimal cutoff value and investigate the prognostic predictive function of Ki-67. Materials & methods: We retrospectively enrolled 1146 patients diagnosed with stage I-II triple-negative breast cancer. Disease-free and overall survival were analyzed using the Kaplan-Meier method and the Cox regression model. Results: We classified Ki-67 >45% as the high group (n = 716). A Ki-67 level of >45% was associated with poorer disease-free survival (p = 0.039) and overall survival (p = 0.029). Lymph node stage, neoadjuvant chemotherapy, and radiotherapy were independent predictive variables of prognosis. Conclusion: Triple-negative breast cancer may be further subcategorized according to the Ki-67 level. Neoadjuvant chemotherapy and postoperative radiotherapy can improve the prognosis of early triple-negative breast cancer.
Collapse
Affiliation(s)
- Fengyan Li
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, PR China
| | - Xinhui Zhou
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, PR China
| | - Wendie Hu
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, PR China
| | - Yujie Du
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, PR China
| | - Jiayuan Sun
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, PR China
| | - Yaxue Wang
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, PR China
| |
Collapse
|
4
|
Baez-Navarro X, van den Ende NS, Nguyen AH, Sinke R, Westenend P, van Brakel JB, Stobbe C, Westerga J, van Deurzen CHM. HER2-low and tumor infiltrating lymphocytes in triple-negative breast cancer: Are they connected? Breast Cancer Res 2024; 26:41. [PMID: 38468323 PMCID: PMC10926638 DOI: 10.1186/s13058-024-01783-z] [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: 11/24/2023] [Accepted: 02/11/2024] [Indexed: 03/13/2024] Open
Abstract
Most patients with triple-negative breast cancer (TNBC) are not candidates for targeted therapy, leaving chemotherapy as the primary treatment option. Recently, immunotherapy has demonstrated promising results in TNBC, due to its immunogenicity. In addition, a novel antibody-drug conjugate, namely, trastuzumab-deruxtecan, has shown effectiveness in TNBC patients with low-HER2 expression (HER2-low). These novel treatment options raise the question about the potential association between the density of stromal tumor-infiltrating lymphocytes (sTILs) and the level of HER2 expression. We aimed to evaluate the association between the level of HER2 expression (HER2-low versus HER2-0) and density of sTILs in TNBC patients, and how they impact the response to neoadjuvant chemotherapy (NAC). This was a retrospective multicenter study including all TNBC patients diagnosed between 2018 and 2022. Central pathology review included sTILs percentages and level of HER2 expression. Tumors were reclassified as either HER2-0 (HER2 IHC 0) or HER2-low (IHC 1 + or 2 + with negative reflex test). Various clinicopathologic characteristics, including sTILs density, and response to NAC were compared between HER2-0 and HER2-low cases. In total, 753 TNBC patients were included in this study, of which 292 patients received NAC. Interobserver agreement between the original pathology report and central review was moderate (77% had the same IHC status after reclassification in either HER2-0 or HER2-low; k = 0.45). HER2-low TNBC represented about one third (36%) of the tumors. No significant difference in sTILs density or complete pathologic response rate was found between HER2-0 and HER2-low cases (p = 0.476 and p = 0.339, respectively). The density of sTILs (≥ 10% sTILs vs. < 10%) was independently associated with achieving a pCR (p = 0.011). In conclusion, no significant association was found between HER2-low status and density of sTILs nor response to NAC. Nonetheless, sTILs could be an independent biomarker for predicting NAC response in TNBC patients.
Collapse
Affiliation(s)
- Ximena Baez-Navarro
- Department of Pathology, Erasmus University Medical Center, 3015 GD, Rotterdam, The Netherlands.
| | - Nadine S van den Ende
- Department of Pathology, Erasmus University Medical Center, 3015 GD, Rotterdam, The Netherlands
| | - Anh H Nguyen
- Department of Pathology, Erasmus University Medical Center, 3015 GD, Rotterdam, The Netherlands
- Department of Pathology, HMC, The Hague, The Netherlands
| | - Renata Sinke
- Department of Pathology, Pathan B.V., Franciscus Gasthuis & Vlietland, Rotterdam, The Netherlands
| | - Pieter Westenend
- Laboratory of Pathology, PAL Dordrecht, Dordrecht, The Netherlands
| | | | - Claudia Stobbe
- Department of Pathology, Pathan B.V., Franciscus Gasthuis & Vlietland, Rotterdam, The Netherlands
| | - Johan Westerga
- Department of Pathology, Pathan B.V., Franciscus Gasthuis & Vlietland, Rotterdam, The Netherlands
| | | |
Collapse
|
5
|
Liao X, Liu C, Ding Z, Wang C, He J, Wu S. High expression of MORC2 predicts worse neoadjuvant chemotherapy efficacy in triple negative breast cancer. Medicine (Baltimore) 2023; 102:e34164. [PMID: 37352040 PMCID: PMC10289757 DOI: 10.1097/md.0000000000034164] [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: 02/28/2023] [Revised: 06/09/2023] [Accepted: 06/09/2023] [Indexed: 06/25/2023] Open
Abstract
Tumor infiltrating lymphocytes (TILs) are closely related to the patients' prognosis. Recently, Microrchidia 2 (MORC2) has been documented as a prognostic and predictive biomarker in triple negative breast cancer (TNBC). To compare whether MORC2 is a better predictor than TILs, as well as clinicopathological parameters, in predicting the efficacy of neoadjuvant chemotherapy (NAC) in TNBC, we detected the expression of MORC2 on neoplastic cells through immunohistochemistry and quantified the stromal TILs through Hematoxylin-eosin staining on core biopsies from 50 locally advanced TNBC patients who underwent standard NAC. Among all the 50 patients, 28 (56%) cases had residual tumors, while the other 22 (44%) achieved pathologic complete response (pCR). In these studied patients, age and T-stage showed no correlation with pCR rate, while percentage of TILs, nodal involvement and expression of MORC2 on tumor cells showed significant association with pCR rate. Positive nodal involvement was correlation with worse pathologic response at multivariate analysis (P = .0036), and high TILs levels (≥50%) was positively associated with better NAC efficacy at univariate analysis (P = .002). Whereas high expression of MORC2 was statistically associated with worse pCR rate both at univariate (P < .001) and multivariate (P = .036) analysis. Our results indicate that MORC2 expression has a better predictive role in predicting the efficacy of NAC than TILs in TNBC patients.
Collapse
Affiliation(s)
- Xiaohong Liao
- Department of Oncology, Ganzhou People’s Hospital (The Affiliated Ganzhou Hospital of Nanchang University), Ganzhou, China
| | - Chao Liu
- Department of Oncology, Ganzhou People’s Hospital (The Affiliated Ganzhou Hospital of Nanchang University), Ganzhou, China
| | - Zhenluo Ding
- Department of Breast Surgery, Ganzhou People’s Hospital (The Affiliated Ganzhou Hospital of Nanchang University), Ganzhou, China
| | - Chen Wang
- Department of Oncology, Ganzhou People’s Hospital (The Affiliated Ganzhou Hospital of Nanchang University), Ganzhou, China
| | - Jing He
- Department of Oncology, Ganzhou People’s Hospital (The Affiliated Ganzhou Hospital of Nanchang University), Ganzhou, China
| | - Shugui Wu
- Department of Oncology, Ganzhou People’s Hospital (The Affiliated Ganzhou Hospital of Nanchang University), Ganzhou, China
| |
Collapse
|
6
|
Abuhadra N, Sun R, Yam C, Rauch GM, Ding Q, Lim B, Thompson AM, Mittendorf EA, Adrada BE, Damodaran S, Virani K, White J, Ravenberg E, Sun J, Choi J, Candelaria R, Arun B, Ueno NT, Santiago L, Saleem S, Abouharb S, Murthy RK, Ibrahim N, Sahin A, Valero V, Symmans WF, Litton JK, Tripathy D, Moulder S, Huo L. Predictive Roles of Baseline Stromal Tumor-Infiltrating Lymphocytes and Ki-67 in Pathologic Complete Response in an Early-Stage Triple-Negative Breast Cancer Prospective Trial. Cancers (Basel) 2023; 15:3275. [PMID: 37444385 DOI: 10.3390/cancers15133275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 06/11/2023] [Accepted: 06/19/2023] [Indexed: 07/15/2023] Open
Abstract
High stromal tumor-infiltrating lymphocytes (sTILs) are associated with improved pathologic complete response (pCR) in triple-negative breast cancer (TNBC). We hypothesize that integrating high sTILs and additional clinicopathologic features associated with pCR could enhance our ability to predict the group of patients on whom treatment de-escalation strategies could be tested. In this prospective early-stage TNBC neoadjuvant chemotherapy study, pretreatment biopsies from 408 patients were evaluated for their clinical and demographic features, as well as biomarkers including sTILs, Ki-67, PD-L1 and androgen receptor. Multivariate logistic regression models were developed to generate a computed response score to predict pCR. The pCR rate for the entire cohort was 41%. Recursive partitioning analysis identified ≥20% as the optimal cutoff for sTILs to denote 35% (143/408) of patients as having high sTILs, with a pCR rate of 59%, and 65% (265/408) of patients as having low sTILs, with a pCR rate of 31%. High Ki-67 (cutoff > 35%) was identified as the only predictor of pCR in addition to sTILs in the training set. This finding was verified in the testing set, where the highest computed response score encompassing both high sTILa and high Ki-67 predicted a pCR rate of 65%. Integrating Ki67 and sTIL may refine the selection of early stage TNBC patients for neoadjuvant clinical trials evaluating de-escalation strategies.
Collapse
Affiliation(s)
- Nour Abuhadra
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ryan Sun
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Clinton Yam
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Gaiane M Rauch
- Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Qingqing Ding
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Bora Lim
- Department of Oncology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Alastair M Thompson
- Division of Surgical Oncology, Section of Breast Surgery, Baylor College of Medicine, Houston, TX 77030, USA
| | - Elizabeth A Mittendorf
- Division of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Beatriz E Adrada
- Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Senthil Damodaran
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Kiran Virani
- Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jason White
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Elizabeth Ravenberg
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jia Sun
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jaihee Choi
- Department of Statistics, Rice University, Houston, TX 77005, USA
| | - Rosalind Candelaria
- Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Banu Arun
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Naoto T Ueno
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Lumarie Santiago
- Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sadia Saleem
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sausan Abouharb
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Rashmi K Murthy
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Nuhad Ibrahim
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Aysegul Sahin
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Vicente Valero
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - William Fraser Symmans
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jennifer K Litton
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Debu Tripathy
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Stacy Moulder
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Lei Huo
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| |
Collapse
|
7
|
van den Ende NS, Nguyen AH, Jager A, Kok M, Debets R, van Deurzen CHM. Triple-Negative Breast Cancer and Predictive Markers of Response to Neoadjuvant Chemotherapy: A Systematic Review. Int J Mol Sci 2023; 24:ijms24032969. [PMID: 36769287 PMCID: PMC9918290 DOI: 10.3390/ijms24032969] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 01/27/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
Around 40-50% of all triple-negative breast cancer (TNBC) patients achieve a pathological complete response (pCR) after treatment with neoadjuvant chemotherapy (NAC). The identification of biomarkers predicting the response to NAC could be helpful for personalized treatment. This systematic review provides an overview of putative biomarkers at baseline that are predictive for a pCR following NAC. Embase, Medline and Web of Science were searched for articles published between January 2010 and August 2022. The articles had to meet the following criteria: patients with primary invasive TNBC without distant metastases and patients must have received NAC. In total, 2045 articles were screened by two reviewers resulting in the inclusion of 92 articles. Overall, the most frequently reported biomarkers associated with a pCR were a high expression of Ki-67, an expression of PD-L1 and the abundance of tumor-infiltrating lymphocytes, particularly CD8+ T cells, and corresponding immune gene signatures. In addition, our review reveals proteomic, genomic and transcriptomic markers that relate to cancer cells, the tumor microenvironment and the peripheral blood, which also affect chemo-sensitivity. We conclude that a prediction model based on a combination of tumor and immune markers is likely to better stratify TNBC patients with respect to NAC response.
Collapse
Affiliation(s)
- Nadine S. van den Ende
- Department of Pathology, Erasmus MC Cancer Institute, Erasmus University Medical Centre, 3015 GD Rotterdam, The Netherlands
- Correspondence: ; Tel.: +31-640213383
| | - Anh H. Nguyen
- Department of Pathology, Erasmus MC Cancer Institute, Erasmus University Medical Centre, 3015 GD Rotterdam, The Netherlands
| | - Agnes Jager
- Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Centre, 3015 GD Rotterdam, The Netherlands
| | - Marleen Kok
- Department of Medical Oncology, Tumor Biology & Immunology, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
| | - Reno Debets
- Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Centre, 3015 GD Rotterdam, The Netherlands
| | - Carolien H. M. van Deurzen
- Department of Pathology, Erasmus MC Cancer Institute, Erasmus University Medical Centre, 3015 GD Rotterdam, The Netherlands
| |
Collapse
|
8
|
Fan X, Yuan Z, Zhao Y, Xiong W, Hsiao HC, Pare R, Ding J, Almosa A, Sun K, Zhang S, Jordan RE, Lee CS, An Z, Zhang N. Impairment of IgG Fc functions promotes tumor progression and suppresses NK cell antitumor actions. Commun Biol 2022; 5:960. [PMID: 36104515 PMCID: PMC9474879 DOI: 10.1038/s42003-022-03931-7] [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: 09/28/2021] [Accepted: 09/01/2022] [Indexed: 11/15/2022] Open
Abstract
Natural killer (NK) cells mediate antibody dependent cytotoxic killing of cancer cells via cross-linking FcγR on NK cells with IgG-Fc. Studies have shown that the single-hinge cleaved IgGs (scIgGs) have dysfunctional Fc and failed engagement with FcγRs on immune cells. However, little is known about how scIgGs impact on antitumor immunity in the tumor microenvironment. In this study, we revealed a significant association of tumor scIgGs with tumor progression and poor outcomes of breast cancer patients (n = 547). Using multiple mouse tumor models, we demonstrated that tumor scIgGs reduced NK cell cytotoxic activities and resulted in aggressive tumor progression. We further showed that an anti-hinge specific monoclonal antibody (AHA) rescued the dysfunctional Fc in scIgGs by providing a functional Fc and restored NK cell cytotoxic activity. These findings point to a novel immunotherapeutic strategy to enhance Fc engagement with FcγRs for activation of anticancer immunity.
Collapse
Affiliation(s)
- Xuejun Fan
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, 1825 Pressler St., Houston, TX, 77030, USA
| | - Zihao Yuan
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, 1825 Pressler St., Houston, TX, 77030, USA
| | - Yueshui Zhao
- Center for Metabolic and Degenerative Diseases, Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, 1825 Pressler St., Houston, TX, 77030, USA
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, China
| | - Wei Xiong
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, 1825 Pressler St., Houston, TX, 77030, USA
| | - Hao-Ching Hsiao
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, 1825 Pressler St., Houston, TX, 77030, USA
| | - Rahmawati Pare
- School of Medicine, Western Sydney University, Department of Anatomical Pathology, Liverpool Hospital, Cancer Pathology Laboratory, Ingham Institute for Applied Medical Research, Liverpool BC, NSW, 1871, Australia
- Medicine & Health Sciences, University Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia
| | - Jianmin Ding
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Ahmad Almosa
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Kai Sun
- Center for Metabolic and Degenerative Diseases, Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, 1825 Pressler St., Houston, TX, 77030, USA
| | - Songlin Zhang
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Robert E Jordan
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, 1825 Pressler St., Houston, TX, 77030, USA
| | - Cheok Song Lee
- School of Medicine, Western Sydney University, Department of Anatomical Pathology, Liverpool Hospital, Cancer Pathology Laboratory, Ingham Institute for Applied Medical Research, Liverpool BC, NSW, 1871, Australia
| | - Zhiqiang An
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, 1825 Pressler St., Houston, TX, 77030, USA.
| | - Ningyan Zhang
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, 1825 Pressler St., Houston, TX, 77030, USA.
| |
Collapse
|
9
|
Tumor-infiltrating lymphocytes (TILs)/volume and prognosis: The value of TILs for survival in HER2 and TN breast cancer patients treated with chemotherapy. Ann Diagn Pathol 2022; 58:151930. [DOI: 10.1016/j.anndiagpath.2022.151930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 01/27/2022] [Accepted: 02/21/2022] [Indexed: 11/17/2022]
|
10
|
Azarianpour S, Corredor G, Bera K, Leo P, Fu P, Toro P, Joehlin-Price A, Mokhtari M, Mahdi H, Madabhushi A. Computational image features of immune architecture is associated with clinical benefit and survival in gynecological cancers across treatment modalities. J Immunother Cancer 2022; 10:e003833. [PMID: 35115363 PMCID: PMC8814810 DOI: 10.1136/jitc-2021-003833] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/03/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND We present a computational approach (ArcTIL) for quantitative characterization of the architecture of tumor-infiltrating lymphocytes (TILs) and their interplay with cancer cells from digitized H&E-stained histology whole slide images and evaluate its prognostic role in three different gynecological cancer (GC) types and across three different treatment types (platinum, radiation and immunotherapy). METHODS In this retrospective study, we included 926 patients with GC diagnosed with ovarian cancer (OC), cervical cancer, and endometrial cancer with available digitized diagnostic histology slides and survival outcome information. ArcTIL features quantifying architecture and spatial interplay between immune cells and the rest of nucleated cells (mostly comprised cancer cells) were extracted from the cell cluster graphs of nuclei within the tumor epithelial nests, surrounding stroma and invasive tumor front compartments on H&E-stained slides. A Cox proportional hazards model, incorporating ArcTIL features was fit on the OC training cohort (N=51), yielding an ArcTIL signature. A unique threshold learned from the training set stratified the patients into a low and high-risk group. RESULTS The seven feature ArcTIL classifier was found to significantly correlate with overall survival in chemotherapy and radiotherapy-treated validation cohorts and progression-free survival in an immunotherapy-treated validation cohort. ArcTIL features relating to increased density of TILs in the epithelium and invasive tumor front were found to be associated with better survival outcomes when compared with those patients with an increased TIL density in the stroma. A statistically significant association was found between the ArcTIL signature and signaling pathways for blood vessel morphogenesis, vasculature development, regulation of cell differentiation, cell-substrate adhesion, biological adhesion, regulation of vasculature development, and angiogenesis. CONCLUSIONS This study reveals that computationally-derived features from the spatial architecture of TILs and tumor cells are prognostic in GCs treated with chemotherapy, radiotherapy, and checkpoint blockade and are closely associated with central biological processes that impact tumor progression. These findings could aid in identifying therapy-refractory patients and further enable personalized treatment decision-making.
Collapse
Affiliation(s)
- Sepideh Azarianpour
- Center for Computational Imaging and Personalized Diagnostics, Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - Germán Corredor
- Center for Computational Imaging and Personalized Diagnostics, Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
- Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio, USA
| | - Kaustav Bera
- Center for Computational Imaging and Personalized Diagnostics, Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - Patrick Leo
- Center for Computational Imaging and Personalized Diagnostics, Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - Pingfu Fu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Paula Toro
- Department of Pathology, Cleveland Clinic, Cleveland, Ohio, USA
| | | | - Mojgan Mokhtari
- Center for Computational Imaging and Personalized Diagnostics, Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
- School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran (the Islamic Republic of)
| | - Haider Mahdi
- Magee Women’s Hospital and Magee Women’s Research Institute, University of Pittsburgh Medical Center, Pittsburgh, Ohio, USA
| | - Anant Madabhushi
- Center for Computational Imaging and Personalized Diagnostics, Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
- Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio, USA
| |
Collapse
|
11
|
The Evolution and Prognostic Role of Tumour-Infiltrating Lymphocytes and Peripheral Blood-Based Biomarkers in Inflammatory Breast Cancer Patients Treated with Neoadjuvant Chemotherapy. Cancers (Basel) 2021; 13:cancers13184656. [PMID: 34572883 PMCID: PMC8471511 DOI: 10.3390/cancers13184656] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/06/2021] [Accepted: 09/08/2021] [Indexed: 12/27/2022] Open
Abstract
INTRODUCTION Inflammatory breast cancer (IBC) is a rare but aggressive form of breast cancer (BC) in which the (prognostic) role of stromal tumour-infiltrating lymphocytes (sTIL) and the peripheral circulating immune cells in patients with residual disease (RD) after neo-adjuvant chemotherapy (NACT) is not clearly established. METHODOLOGY To describe the evolution of sTIL and some peripheral inflammation markers (Neutrophil-to-lymphocyte ratio, Platelet-to-lymphocyte ratio and Lymphocyte-to-monocyte ratio) after NACT in IBC, we retrospectively collected clinicopathological variables for 125 stage III IBC patients. sTILs were scored by three different researchers on an H&E slide of the mastectomy specimen. A cohort of subtype-matched non-IBC breast cancer patients (nIBC) treated with NACT was included for comparison. RESULTS There was no significant difference in the pre- and posttreatment sTIL scores between IBC and nIBC and in both groups the number of sTIL was significantly lower after NACT. However, the IBC phenotype did correlate with a stronger decrease of sTIL after NACT (OR: 0.25, 95% CI: 0.073-0.76, p = 0.018). The change in the peripheral immune markers was not significantly different between IBC and nIBC. After NACT, 75 patients had residual disease. In this group, a high number of sTIL before NACT (HR: 0.23, 95% CI: 0.05-1.02, p = 0.05) was prognostic for a longer OS, while a low number of sTIL after NACT (HR: 0.33, 95% CI: 0.11-0.98, p = 0.046) and a low residual cancer cellularity (HR: 0.20, 95% CI: 0.08-0.52, p < 0.001) was associated with a longer DFS. CONCLUSIONS IBC is associated with a significantly stronger decrease of sTIL after NACT compared to nIBC. Furthermore, a high number of sTIL after NACT was associated with a worse prognosis in IBC.
Collapse
|
12
|
Goldberg J, Pastorello RG, Vallius T, Davis J, Cui YX, Agudo J, Waks AG, Keenan T, McAllister SS, Tolaney SM, Mittendorf EA, Guerriero JL. The Immunology of Hormone Receptor Positive Breast Cancer. Front Immunol 2021; 12:674192. [PMID: 34135901 PMCID: PMC8202289 DOI: 10.3389/fimmu.2021.674192] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 04/13/2021] [Indexed: 12/11/2022] Open
Abstract
Immune checkpoint blockade (ICB) has revolutionized the treatment of cancer patients. The main focus of ICB has been on reinvigorating the adaptive immune response, namely, activating cytotoxic T cells. ICB has demonstrated only modest benefit against advanced breast cancer, as breast tumors typically establish an immune suppressive tumor microenvironment (TME). Triple-negative breast cancer (TNBC) is associated with infiltration of tumor infiltrating lymphocytes (TILs) and patients with TNBC have shown clinical responses to ICB. In contrast, hormone receptor positive (HR+) breast cancer is characterized by low TIL infiltration and minimal response to ICB. Here we review how HR+ breast tumors establish a TME devoid of TILs, have low HLA class I expression, and recruit immune cells, other than T cells, which impact response to therapy. In addition, we review emerging technologies that have been employed to characterize components of the TME to reveal that tumor associated macrophages (TAMs) are abundant in HR+ cancer, are highly immune-suppressive, associated with tumor progression, chemotherapy and ICB-resistance, metastasis and poor survival. We reveal novel therapeutic targets and possible combinations with ICB to enhance anti-tumor immune responses, which may have great potential in HR+ breast cancer.
Collapse
Affiliation(s)
- Jonathan Goldberg
- Breast Tumor Immunology Laboratory, Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Ricardo G. Pastorello
- Breast Tumor Immunology Laboratory, Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, United States
- Division of Breast Surgery, Department of Surgery, Brigham and Women’s Hospital, Boston, MA, United States
| | - Tuulia Vallius
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA, United States
| | - Janae Davis
- Breast Tumor Immunology Laboratory, Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, United States
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA, United States
| | - Yvonne Xiaoyong Cui
- Breast Tumor Immunology Laboratory, Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Judith Agudo
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, United States
- Department of Immunology, Harvard Medical School, Boston, MA, United States
| | - Adrienne G. Waks
- Breast Oncology Program, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Tanya Keenan
- Breast Oncology Program, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Sandra S. McAllister
- Division of Hematology, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, United States
- Department of Medicine, Harvard Medical School, Boston, MA, United States
- Harvard Stem Cell Institute, Cambridge, MA, United States
| | - Sara M. Tolaney
- Breast Oncology Program, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Elizabeth A. Mittendorf
- Breast Tumor Immunology Laboratory, Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, United States
- Division of Breast Surgery, Department of Surgery, Brigham and Women’s Hospital, Boston, MA, United States
- Breast Oncology Program, Dana-Farber Cancer Institute, Boston, MA, United States
- Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, United States
| | - Jennifer L. Guerriero
- Breast Tumor Immunology Laboratory, Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, United States
- Division of Breast Surgery, Department of Surgery, Brigham and Women’s Hospital, Boston, MA, United States
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA, United States
- Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, United States
| |
Collapse
|
13
|
Tian C, Jing H, Wang C, Wang W, Cui Y, Chen J, Sha D. Prognostic role of tumour-infiltrating lymphocytes assessed by H&E-stained section in gastric cancer: a systematic review and meta-analysis. BMJ Open 2021; 11:e044163. [PMID: 33518526 PMCID: PMC7853025 DOI: 10.1136/bmjopen-2020-044163] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVES Some studies have identified tumour-infiltrating lymphocytes (TILs) in H&E-stained sections of gastric cancer, but the prognostic and clinicopathological significance of this remains unclear. The objective of this study is to evaluate the associations between H&E-based TIL density and prognosis and clinicopathological characteristics of patients with gastric cancer. DESIGN Systematic review and meta-analysis. DATA SOURCES Cochrane Library, PubMed and Embase databases were searched through 25 February 2020. ELIGIBILITY CRITERIA Studies evaluating the correlations between TILs assessed by H&E-stained sections and prognosis and clinicopathological characteristics of gastric cancer were included. DATA EXTRACTION AND SYNTHESIS Relevant data were extracted and risks of bias were assessed independently by two reviewers. HR and relative risk (RR) with 95% CI were pooled by random-effect models to estimate the associations between TIL density and overall survival (OS) and clinicopathological characteristics, respectively. RESULTS We enrolled nine studies including 2835 cases for the present meta-analysis. High TILs were associated with superior OS (HR=0.68, 95% CI 0.52 to 0.87, p=0.003) compared with low TILs. High TILs were significantly associated with lower depth of invasion (T3-T4 vs T1-T2) (RR=0.58, 95% CI 0.50 to 0.66, p<0.001), less lymph node involvement (presence vs absence) (RR=0.68, 95% CI 0.56 to 0.81, p<0.001) and earlier TNM (tumour, node, metastasis) stage (III-IV vs I-II) (RR=0.68, 95% CI 0.55 to 0.83, p<0.001). TIL density was not associated with age, gender, Lauren classification or histological grade. The methodology for evaluating TIL and its cut-off value varied across different studies, which might affect the results of our meta-analysis. CONCLUSIONS Our meta-analysis suggests that H&E-based TIL density is a reliable biomarker to predict the clinical outcomes of patients with gastric cancer. Multicentre, prospective studies are needed to further confirm our findings. PROSPERO REGISTRATION NUMBER CRD42020169877.
Collapse
Affiliation(s)
- Chunfang Tian
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Haiyan Jing
- Department of Pathology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Caixia Wang
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Weibo Wang
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yangang Cui
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jianpeng Chen
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Dan Sha
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| |
Collapse
|
14
|
Priming the tumor immune microenvironment with chemo(radio)therapy: A systematic review across tumor types. Biochim Biophys Acta Rev Cancer 2020; 1874:188386. [PMID: 32540465 DOI: 10.1016/j.bbcan.2020.188386] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 06/05/2020] [Accepted: 06/08/2020] [Indexed: 12/23/2022]
Abstract
BACKGROUND Chemotherapy (CT), radiotherapy (RT), and chemoradiotherapy (CRT) are able to alter the composition of the tumor immune microenvironment (TIME). Understanding the effect of these modalities on the TIME could aid in the development of improved treatment strategies. Our aim was to systematically review studies investigating the influence of CT, RT or CRT on different TIME markers. METHODS The EMBASE (Ovid) and PubMed databases were searched until January 2019 for prospective or retrospective studies investigating the dynamics of the local TIME in cancer patients (pts) treated with CT, RT or CRT, with or without targeted agents. Studies could either compare baseline and follow-up specimens - before and after treatment - or a treated versus an untreated cohort. Studies were included if they used immunohistochemistry and/or flow cytometry to assess the TIME. RESULTS In total we included 110 studies (n = 8850 pts), of which n = 89 (n = 6295 pts) compared pre-treatment to post-treatment specimens and n = 25 (n = 2555 pts) a treated versus an untreated cohort (4 studies conducted both comparisons). For several tumor types (among others; breast, cervical, esophageal, ovarian, rectal, lung mesothelioma and pancreatic cancer) remodeling of the TIME was observed, leading to a potentially more immunologically active microenvironment, including one or more of the following: an increase in CD3 or CD8 lymphocytes, a decrease in FOXP3 Tregs and increased PD-L1 expression. Both CT and CRT were able to immunologically alter the TIME. CONCLUSION The TIME of several tumor types is significantly altered after conventional therapy creating opportunities for concurrent or sequential immunotherapy.
Collapse
|
15
|
Vaziri Fard E, Ali Y, Wang XI, Saluja K, H Covinsky M, Wang L, Zhang S. Tumor-Infiltrating Lymphocyte Volume Is a Better Predictor of Disease-Free Survival Than Stromal Tumor-Infiltrating Lymphocytes in Invasive Breast Carcinoma. Am J Clin Pathol 2019; 152:656-665. [PMID: 31305879 DOI: 10.1093/ajcp/aqz088] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
OBJECTIVES Tumor-infiltrating lymphocytes (TILs) have recently emerged as a prognostic factor in breast cancer. In our previous study, we proposed that tumor stroma should also be considered in the calculation of TILs and we introduced tumor infiltration lymphocyte volume (TILV) in triple-negative breast cancer. METHODS We assessed the disease-free survival predictive value of TILV in all subtypes of invasive breast carcinoma and compared the predictive value of TILV with TILs. Differences between disease-free survival curves were determined by using the log-rank test, and Kaplan-Meier survival plots were generated for both groups. RESULTS TILV was significantly correlated with disease-free survival in both invasive ductal carcinoma (P = .03) and all subtypes of invasive breast carcinoma (P = .043), whereas TILs failed to show a statistical significance. CONCLUSIONS Tumor-stroma ratio needs to be considered in estimation of tumor immunity, and TILV adds more predictive power to TILs.
Collapse
Affiliation(s)
- Elmira Vaziri Fard
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston, Houston
| | - Yasir Ali
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston, Houston
| | - Xiaohong I Wang
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston, Houston
| | - Karan Saluja
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston, Houston
| | - Michael H Covinsky
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston, Houston
| | - Lei Wang
- Department of Urology, Division of Surgery, University of Texas MD Anderson Cancer Center, Houston
| | - Songlin Zhang
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston, Houston
| |
Collapse
|
16
|
Balkenhol MCA, Bult P, Tellez D, Vreuls W, Clahsen PC, Ciompi F, van der Laak JAWM. Deep learning and manual assessment show that the absolute mitotic count does not contain prognostic information in triple negative breast cancer. Cell Oncol (Dordr) 2019; 42:555-569. [PMID: 30989469 DOI: 10.1007/s13402-019-00445-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/25/2019] [Indexed: 12/12/2022] Open
Abstract
PURPOSE The prognostic value of mitotic count for invasive breast cancer is firmly established. As yet, however, limited studies have been aimed at assessing mitotic counts as a prognostic factor for triple negative breast cancers (TNBC). Here, we assessed the prognostic value of absolute mitotic counts for TNBC, using both deep learning and manual procedures. METHODS A retrospective TNBC cohort (n = 298) was used. The absolute manual mitotic count was assessed by averaging counts from three independent observers. Deep learning was performed using a convolutional neural network on digitized H&E slides. Multivariable Cox regression models for relapse-free survival and overall survival served as baseline models. These were expanded with dichotomized mitotic counts, attempting every possible cut-off value, and evaluated by means of the c-statistic. RESULTS We found that per 2 mm2 averaged manual mitotic counts ranged from 1 to 187 (mean 37.6, SD 23.4), whereas automatic counts ranged from 1 to 269 (mean 57.6; SD 42.2). None of the cut-off values improved the models' baseline c-statistic, for both manual and automatic assessments. CONCLUSIONS Based on our results we conclude that the level of proliferation, as reflected by mitotic count, does not serve as a prognostic factor for TNBC. Therefore, TNBC patient management based on mitotic count should be discouraged.
Collapse
Affiliation(s)
- Maschenka C A Balkenhol
- Department of Pathology, Radboud University Medical Center, PO Box 9100, 6500, HB, Nijmegen, the Netherlands.
| | - Peter Bult
- Department of Pathology, Radboud University Medical Center, PO Box 9100, 6500, HB, Nijmegen, the Netherlands
| | - David Tellez
- Department of Pathology, Radboud University Medical Center, PO Box 9100, 6500, HB, Nijmegen, the Netherlands
| | - Willem Vreuls
- Department of Pathology, Canisius Wilhelmina Hospital, Nijmegen, the Netherlands
| | - Pieter C Clahsen
- Department of Pathology, Haaglanden Medical Center, 's-Gravenhage, the Netherlands
| | - Francesco Ciompi
- Department of Pathology, Radboud University Medical Center, PO Box 9100, 6500, HB, Nijmegen, the Netherlands
| | - Jeroen A W M van der Laak
- Department of Pathology, Radboud University Medical Center, PO Box 9100, 6500, HB, Nijmegen, the Netherlands
| |
Collapse
|
17
|
Baker GM, King TA, Schnitt SJ. Evaluation of Breast and Axillary Lymph Node Specimens in Breast Cancer Patients Treated With Neoadjuvant Systemic Therapy. Adv Anat Pathol 2019; 26:221-234. [PMID: 31149907 DOI: 10.1097/pap.0000000000000237] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Breast and axillary lymph node specimens from breast cancer patients treated with neoadjuvant systemic therapy are being encountered by pathologists with increasing frequency. Evaluation of these specimens presents challenges that differ from those encountered during the examination of other types of breast specimens. This article reviews the key issues regarding the gross and microscopic evaluation of post-neoadjuvant systemic therapy breast and lymph node specimens, and emphasizes the importance of accurate specimen evaluation in assessing treatment response.
Collapse
|
18
|
Zhang L, Wang XI, Ding J, Sun Q, Zhang S. The predictive and prognostic value of Foxp3+/CD25+ regulatory T cells and PD-L1 expression in triple negative breast cancer. Ann Diagn Pathol 2019; 40:143-151. [PMID: 31096176 DOI: 10.1016/j.anndiagpath.2019.04.004] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Accepted: 04/09/2019] [Indexed: 12/15/2022]
Abstract
Recent significant developments in cancer immunotherapy have led to important breakthroughs and paradigm shifts in the treatment of malignancy. Although breast cancer traditionally has been considered less immunogenic, triple-negative breast cancer (TNBC) is the most immunogenic subtype with more stromal tumor-infiltrating lymphocytes (TILs) and higher programmed death-ligand 1 (PD-L1) expression. The goal of this study is to evaluate regulatory T cells (Tregs) and PD-L1 expression in TNBC, as well as their associations with clinicopathologic features and the outcomes. Tissue microarrays (TMA) of biopsy and resection specimens of 43 TNBC patients who underwent breast biopsy, neoadjuvant chemotherapy, and mastectomy were prepared. The number of Foxp3+ Tregs, Foxp3+/CD25+ Tregs, and expression of PD-L1 in tumor cells (PD-L1 TCs) and TILs (PD-L1 TILs) were assessed by immunohistochemistry. PD-L1 expression combined positive score (PD-L1 CPS) was calculated according to the manufacturer's guidelines. PD-L1 expression was detected in 72% of the cases, and it expressed in a higher percentage and higher intensity in TILs than TCs in TNBC (p = 0.006 and 0.0005, respectively). PD-L1 TCs, PD-L1 TILs, and PD-L1 CPS were all positively associated with pathologic complete response (pCR) (p = 0.04, 0.03, and 0.02, respectively). PD-L1 TILs and PD-L1 CPS also correlated with TILs and tumor infiltrating lymphocyte volume (TILV). Foxp3+ Tregs and Foxp3+/CD25+ Tregs had strong positive correlation (r = 0.89), and they were positively associated with TILs, TILV, and PD-L1 expression. Foxp3+/CD25+ Tregs, PD-L1 TCs, and PD-L1 CPS were positively correlated with better overall survival (p = 0.04, 0.04 and 0.01, respectively).
Collapse
Affiliation(s)
- Lin Zhang
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Xiaohong Iris Wang
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jianmin Ding
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Qigang Sun
- Department of Hepatobiliary and Pancreatic Surgery, Hainan General Hospital, No. 19 Xiuhua Road, Xiuying District, Haikou, Hainan Province 570311, China
| | - Songlin Zhang
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
| |
Collapse
|