Relationship between tumor infiltrating lymphocytes and progression  in triple negative breast cancer

Zgură, Anca; Galeş, Laurenţia; Mitran, Mihai; Brătilă, Elvira; Anghel, Rodica

doi:10.26416/gine.21.3.2018.1948

Cited by 27 publications

(34 citation statements)

References 5 publications

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“…The PIK3P1 protein is a negative regulator of T-cell activation and of antitumor T-cell immunity (83,84). Interestingly, tumor-infiltrating lymphocytes are able to induce an immune response, and their presence is often associated with a good prognosis across a spectrum of malignancies in HIV-negative patients (85,86). Our findings may also indicate differential immune response regulation and lymphocyte recruitment in the HIV-related breast cancer microenvironment.…”

Section: Discussionmentioning

confidence: 71%

Human Endogenous Retrovirus Expression Is Upregulated in the Breast Cancer Microenvironment of HIV Infected Women: A Pilot Study

et al. 2020

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Section: Discussionmentioning

confidence: 71%

Human Endogenous Retrovirus Expression Is Upregulated in the Breast Cancer Microenvironment of HIV Infected Women: A Pilot Study

et al. 2020

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“…A random set of breast cancer biopsies are naturally expected to include the different immunophenotypic subtypes of TILs (CD4+, CD8+ T-cells, and natural killer cells) and a variety of shapes, locations, colors, and clustering of TILs. [ 76 77 78 79 ] Our current strategy of selecting ROIs gathers areas for sTIL evaluation with and without tumor-associated stroma, areas where sTIL densities should and should not be evaluated [ Table 1 ]. Despite efforts to assemble a balanced and stratified sample of ROI types, our pilot study data yielded an abundant number of cases with nominal sTIL infiltration.…”

Section: Discussionmentioning

confidence: 99%

A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study

Dudgeon

Wen

Hanna

et al. 2021

Journal of Pathology Informatics

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Purpose: Validating artificial intelligence algorithms for clinical use in medical images is a challenging endeavor due to a lack of standard reference data (ground truth). This topic typically occupies a small portion of the discussion in research papers since most of the efforts are focused on developing novel algorithms. In this work, we present a collaboration to create a validation dataset of pathologist annotations for algorithms that process whole slide images. We focus on data collection and evaluation of algorithm performance in the context of estimating the density of stromal tumor-infiltrating lymphocytes (sTILs) in breast cancer. Methods: We digitized 64 glass slides of hematoxylin- and eosin-stained invasive ductal carcinoma core biopsies prepared at a single clinical site. A collaborating pathologist selected 10 regions of interest (ROIs) per slide for evaluation. We created training materials and workflows to crowdsource pathologist image annotations on two modes: an optical microscope and two digital platforms. The microscope platform allows the same ROIs to be evaluated in both modes. The workflows collect the ROI type, a decision on whether the ROI is appropriate for estimating the density of sTILs, and if appropriate, the sTIL density value for that ROI. Results: In total, 19 pathologists made 1645 ROI evaluations during a data collection event and the following 2 weeks. The pilot study yielded an abundant number of cases with nominal sTIL infiltration. Furthermore, we found that the sTIL densities are correlated within a case, and there is notable pathologist variability. Consequently, we outline plans to improve our ROI and case sampling methods. We also outline statistical methods to account for ROI correlations within a case and pathologist variability when validating an algorithm. Conclusion: We have built workflows for efficient data collection and tested them in a pilot study. As we prepare for pivotal studies, we will investigate methods to use the dataset as an external validation tool for algorithms. We will also consider what it will take for the dataset to be fit for a regulatory purpose: study size, patient population, and pathologist training and qualifications. To this end, we will elicit feedback from the Food and Drug Administration via the Medical Device Development Tool program and from the broader digital pathology and AI community. Ultimately, we intend to share the dataset, statistical methods, and lessons learned.

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“…Moreover, the infiltration of lymphocytes (tumor-infiltrating lymphocytes-TIL) was recognized in rats treated with Zn NP, based on the microscopic study of biopsies. The presence of TILs may be a favorable prognostic factor in the process of cancer elimination [24]. Rasmussen et al have already considered the possibility of initiating a natural immune response against cancer in the effect of treatment with Zn NP [4].…”

Section: Discussionmentioning

confidence: 99%

Effect of Zinc Supplementation on the Serum Metabolites Profile at the Early Stage of Breast Cancer in Rats

et al. 2020

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The cytotoxic properties of zinc nanoparticles have been evaluated in vitro against several types of cancer. However, there is a lack of significant evidence of their activity in vivo, and a potential therapeutic application remains limited. Herein we report the effective inhibition of tumor growth by zinc nanoparticles in vivo, as the effect of the dietary intervention, after the chemical induction in a rodent model of breast cancer. Biopsy images indicated grade 1 tumors with multiple inflammatory infiltrates in the group treated with zinc nanoparticles, whereas, in the other groups, a moderately differentiated grade 2 adenocarcinoma was identified. Moreover, after the supplementation with zinc nanoparticles, the levels of several metabolites associated with cancer metabolism, important to its survival, were found to have been altered. We also revealed that the biological activity of zinc in vivo depends on the size of applied particles, as the treatment with zinc microparticles has not had much effect on cancer progression.

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Relationship between tumor infiltrating lymphocytes and progression in triple negative breast cancer

Cited by 27 publications

References 5 publications

Human Endogenous Retrovirus Expression Is Upregulated in the Breast Cancer Microenvironment of HIV Infected Women: A Pilot Study

Human Endogenous Retrovirus Expression Is Upregulated in the Breast Cancer Microenvironment of HIV Infected Women: A Pilot Study

A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study

Effect of Zinc Supplementation on the Serum Metabolites Profile at the Early Stage of Breast Cancer in Rats

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