Prognostic and Predictive Value of Tumor-Infiltrating Lymphocytes in Breast Cancer

2016 ◽  
Vol 8 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Maryann Kwa ◽  
Sylvia Adams
2021 ◽  
pp. 1-6
Author(s):  
Upik A. Miskad ◽  
Rizki A. Rifai ◽  
Rina Masadah ◽  
Berti Nelwan ◽  
Djumadi Ahmad ◽  
...  

BACKGROUND: The immune system is known to play an important role in tumor cell eradication. Although cancer cells were able to escape from the immune system, many studies showed mononuclear inflammatory cell infiltrates known as tumor-infiltrating lymphocytes (TILs) on breast cancer histopathology specimens showed better prognosis, including in disease-free survival (DFS) and chemotherapy responses. OBJECTIVE: This study aimed to reveal the predictive value of tumor-infiltrating lymphocytes (TILs) levels and CD8 expression in invasive breast carcinoma of no special type patients’ samples on response to anthracycline-based neoadjuvant chemotherapy. METHODS: 75 pre-treatment biopsy samples that were diagnosed as invasive breast carcinoma of no special type were evaluated. TILs level determined following recommendations of International TILs Working Group 2014, CD8 expression assessed semiquantitatively after immunohistochemistry staining. Response to anthracycline-based neoadjuvant chemotherapy evaluated clinically using Response Evaluation Criteria in Solid Tumours (RECIST) criteria and pathologically by evaluating hematoxylin and eosin (H&E)-stained slides from mastectomy specimens after 3 or 4 cycles of neoadjuvant chemotherapy. RESULTS: Chi-squared analysis showed a significant relationship between TILs level and CD8 expression with chemotherapy responses clinically (p = 0.011 and p = 0.017 respectively) but not pathologically. Furthermore, the logistic regression test exhibit the predictive value of TILs level was 66.7% and CD8 expression was 64%. CONCLUSIONS: This study results suggest that TILs level and CD8 expression may be added as predictive factors to the response of anthracycline-based neoadjuvant chemotherapy, and oncologists may take benefit in breast cancer patient’s management.


2016 ◽  
Vol 50 ◽  
pp. 205-207 ◽  
Author(s):  
Carmen Criscitiello ◽  
Angela Esposito ◽  
Dario Trapani ◽  
Giuseppe Curigliano

BMC Cancer ◽  
2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Kwan Ho Lee ◽  
Eun Young Kim ◽  
Ji Sup Yun ◽  
Yong Lai Park ◽  
Sung-Im Do ◽  
...  

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 585-585
Author(s):  
Elena Garcia-Martinez ◽  
Gines Luengo-Gil ◽  
Asuncion Chaves ◽  
Lorena Velazquez ◽  
Enrique Gonzalez-Billalabeitia ◽  
...  

585 Background: The association of tumor microenvironment immune response with outcome after breast cancer (BC) NCT has been suggested by several studies. However, the relevance of each TIL subpopulation is still controversial. The objective of this study was to evaluate the predictive and prognostic value of TIL before and after NCT in patients with BC. Methods: We analyzed TIL and CD68 cells in pre- and post-chemotherapy biopsies of BC patients treated with NCT (80.4% sequential AC-docetaxel). A tissue microarray with paired pre- and post-NCT biopsies was built, and stained with immunohistochemistry (IHC) for CD3, CD4, CD8, CD20, FOXP3 and CD68. Morphometric analysis (TIL count/mm2) was performed after slide scanning and digitalization. Results: We included 121 consecutive patients with invasive BC, most of them with stages IIB (28%) or IIIA-C (56.4%). IHC phenotype: 50.4% Her2- hormone-sensitive (HS), 13.2% Her2+ HS, 10.7% Her2+ non-HS, and 21.5% triple negative. Pathologic complete response (pCR): 17.4%. Median overall survival (OS) and disease free survival (DFS) has not been reached (median follow-up: 60 months). Higher than median pre-NCT TIL infiltration was predictive of pCR to NCT: CD3 > 172/mm2 (p=0.001; Hazard Ratio [HR]: 9,61, 95% confidence interval [95%CI] 2.49–37.02); CD4 > 67/mm2 (p=0.001; HR: 8.82, 95%CI 2.43–31.96); CD20 > 42/mm2 (p=0.001; HR: 8.71, 95%CI 2.31–32.74). Logistic regression multivariate models including grade and IHC phenotype confirmed the independent predictive value of higher pre-NCT CD3, CD4, and CD20 for pCR. In the group of patients with HS Her2- BC without pCR (n=44), higher infiltration (cut-point: median value) by some TIL subpopulations and by CD68 cells in post-NCT residual tumor associated to lower DFS: CD8 > 37/mm2 (log-rank; p=0.04), CD20 > 14/mm2 (p=0.07) and CD68> 39/mm2 (p=0.06). Conclusions: Higher pre-treatment CD3, CD4 and CD20 TIL predicted pRC in patients with invasive BC receiving anthracyclines and taxanes NCT, while higher infiltration of residual tumor by CD8 associated to worse DFS in patients with HS Her2- BC without pCR after NCT. TIL might be useful as predictive factors in the setting of NCT for BC [Supported by GEICAM-Beca Ana Balil].


2021 ◽  
Vol 4 (1) ◽  
pp. 39-44
Author(s):  
M.O. Bilych

Background. Breast cancer is the leading cancer type in women. Improvement in its management requires a continuous investigation of new tools for diagnosis and treatment. Biomarkers for breast cancer remain a field of great interest, despite existing knowledge. Extensive research recognizes the critical role played by tumor-infiltrating lymphocytes (TILs) in terms of prognosis and prediction, but much uncertainty still exists about the application of this biomarker in clinical practice. Thus, the purpose of this paper is to review recent researches about the role of TILs as a prognostic and predictive factor in the clinical management of breast cancer subtypes. Materials and methods. Eligible studies from Medline, Pubmed, Google Scholar (2010–2020) databases were analyzed and retrieved. Results. For primary tumors, a positive correlation was found between TILs and survival prognosis for HER2+ and TNBC subtypes, while for luminal subtypes it was a negative correlation. The predictive value of TILs in the neoadjuvant setting is established for HER2+, TNBC subtypes. In the case of using TILs as a predictive factor for HER2-targeted therapy, it remains a concern due to controversial data. For residual tumor, it is growing body of evidence about the positive correlation of TILs and prognosis for all subtypes, but data are limited. Conclusions. TILs were found to have prognostic and predictive value. However, due to the heterogeneity of breast cancer subtypes, TILs as a biomarker should be interpreted with caution. Further studies need to be carried out to determine the validity of making a clinical decision based on TILs count.


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