ArticleDiagnostic pathology2018
Predictive value of tumor-infiltrating lymphocytes to pathological complete response in neoadjuvant treated triple-negative breast cancers.
Article in Diagnostic pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
33 citing papers in PubMed, 4 syntheses or guidelines pooled it, 48 citations in OpenAlex.
- Association of tumor-infiltrating lymphocytes with clinical outcomes in patients with triple-negative breast cancer receiving neoadjuvant chemotherapy: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Pooled it
- Triple-Negative Breast Cancer and Predictive Markers of Response to Neoadjuvant Chemotherapy: A Systematic Review.International journal of molecular sciences · 2023Pooled it
- Predictive and prognostic role of tumour-infiltrating lymphocytes in breast cancer patients with different molecular subtypes: a meta-analysis.BMC cancer · 2020Pooled it
- Prognostic value of tumor-infiltrating lymphocytes in patients with triple-negative breast cancer: a systematic review and meta-analysis.BMC cancer · 2020Pooled it
- Tumor infiltrating lymphocytes (TILs) as a predictive marker of pathological complete response (pCR) in a diverse patient population with early triple negative breast cancer (TNBC) treated with neoadjuvant real-world KEYNOTE-522 regimen.Breast cancer research and treatment · 2026Article
- Article
- Role of tumor‑infiltrating lymphocytes and miR‑155 in breast cancer: Insights into carcinogenesis and their potential as prognostic biomarkers (Review).Oncology reports · 2026Review
- Spatial architecture of tumor-infiltrating lymphocytes adds predictive value beyond stromal TIL density for neoadjuvant response in triple-negative breast cancer.Frontiers in immunology · 2026Article
- Artificial neural network-based immune biomarker signature predicts pathological complete response to neoadjuvant chemotherapy in HER2-negative breast cancer.Frontiers in oncology · 2026Article
- Development of a prognostic model for breast cancer patients based on intratumoral tumor-infiltrating lymphocytes using machine learning algorithms.Discover oncology · 2025Article
- Predictive and prognostic value of tumor-infiltrating lymphocytes in triple-negative breast cancer: a real-world study from Vietnam.Therapeutic advances in medical oncology · 2025Article
- Targeting low-risk triple-negative breast cancer: a review on de-escalation strategies for a new era.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2025Review
- The analytical and clinical validity of AI algorithms to score TILs in TNBC: can we use different machine learning models interchangeably?EClinicalMedicine · 2024Article
- Role of Ultrasonographic and Clinicopathological Characteristics in Assessing Stromal Tumor-Infiltrating Lymphocyte Density in Triple-Negative Breast CancerBalkan medical journal · 2024Article
- Association of clinicopathologic and sonographic features with stromal tumor-infiltrating lymphocytes in triple-negative breast cancer.BMC cancer · 2024Article
- Response to Neoadjuvant Chemotherapy in Invasive Breast Cancer Predicted by CD4+, CD8+, and FOXP3+ Tumor-Infiltrating Lymphocytes.Asian Pacific journal of cancer prevention : APJCP · 2024Article
- Clinical and radiomics integrated nomogram for preoperative prediction of tumor-infiltrating lymphocytes in patients with triple-negative breast cancer.Frontiers in oncology · 2024Article
- Tumor infiltrating lymphocytes (TILs) are a prognosis biomarker in Colombian patients with triple negative breast cancer.Scientific reports · 2023Article
- Cost-effectiveness analysis of tumor-infiltrating lymphocytes biomarkers guiding chemotherapy de-escalation in early triple-negative breast cancer.Cancer medicine · 2023Article
- The Immunomodulatory Effects of Dexamethasone on Neoadjuvant Chemotherapy for Triple-Negative Breast Cancer.Oncology and therapy · 2023Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundTriple-negative breast cancers (TNBCs) are a group of heterogeneous diseases with various morphology, prognosis, and treatment response. Therefore, it is important to identify valuable biomarkers to predict the therapeutic response and prognosis for TNBCs. Tumor-infiltrating lymphocytes (TILs) may have predictive value to pathological complete response (pCR) in neoadjuvant treated TNBCs. However, absence of standardized methodologies for TILs measurement has limited its evaluation and application in practice. In 2014, the International TILs Working Group formulated the recommendations of pathologic evaluation for TILs in breast cancers.
methodsTo evaluate the predictive value of TILs scored by methods recommended by International TILs Working Group 2014, we performed a retrospective study of TILs in 166 core needle biopsy specimens of primary invasive TNBCs with neoadjuvant chemotherapy (NAC) in a Chinese population. Intratumoral TILs (iTILs) and stromal TILs (sTILs) were scored respectively. The associations between TILs and pCR were analyzed.
resultsBoth sTILs (p = 0.0001) and iTILs (P = 0.001) were associated with pCR in univariate logistic regression analysis. Multivariate logistic regression analysis indicated that both sTILs (P = 0.006) and iTILs (P = 0.04) were independent predictors for pCR. Receiver operating characteristics (ROC) curve analysis was used to identify the optimal thresholds of TILs. TNBCs with more than 20% sTILs (P = 0.001) or with more than 10% iTILs (P = 0.003) were associated with higher pCR rates in univariate analysis. Multivariate analysis showed that a 20% threshold of sTILs (P = 0.005) was an independent predictive factor for pCR.
conclusionsOur study indicated that TILs scored by recommendations of International TILs Working Group 2014 in pre-NAC core needle biopsy specimens was significantly correlated with pCR in TNBCs, higher TILs scores predicting higher pCR rate. Both sTILs and iTILs were independent predictors for pCR in TNBCs. A 20% threshold for sTILs may be feasible to predict pCR to NAC in TNBCs.
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