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Importance: The absolute benefit of chemotherapy for all patients with stage I triple-negative breast cancer (TNBC) is unclear, and biomarkers are not currently available for selecting patients with an excellent outcome for whom neoadjuvant or adjuvant chemotherapy may have negligible benefit. High levels of stromal tumor-infiltrating lymphocytes (sTILs) are associated with favorable survival in TNBC, but data solely in stage I TNBC are lacking.
Objective: To examine the outcomes of patients of all ages with stage I TNBC solely and who received neither neoadjuvant nor adjuvant chemotherapy, according to centrally reviewed sTIL levels at prespecified cutoffs.
Design, Setting, And Participants: This cohort study used the Netherlands Cancer Registry to identify patients diagnosed with stage I TNBC between January 1, 2005, and December 31, 2015, who were not treated with chemotherapy. Only patients who did not receive neoadjuvant and/or adjuvant chemotherapy were selected. The clinical data were matched with their corresponding pathology data provided by the Dutch Pathology Registry. Data analysis was performed between February and October 2023.
Main Outcomes And Measures: The primary end point was breast cancer-specific survival (BCSS) at 5, 10, and 15 years for the prespecified sTIL level cutoffs of 30%, 50%, and 75%. Hematoxylin and eosin-stained slides were used for central review of histologic subtype, grade, and lymphovascular invasion. The International Immuno-Oncology Biomarker Working Group guidelines were used to score the sTIL levels; these levels were determined for 1041 patients.
Results: Of a total of 4511 females with stage I TNBC, patients who were not treated with chemotherapy were selected and tissue blocks requested; sTILs were scored in 1041 patients (mean [SD] age at diagnosis, 64.4 [11.1] years, median follow-up 11.4 [95% CI, 10.9-11.9] years) who were included in the analyses.. Most tumors (952 [91.5%]) were invasive carcinomas of nonspecial histologic subtype. Most patients (548 [52.6%]) had pT1cN0 tumors. Median (range) sTIL level was 5% (1%-99%). A total of 775 patients (74.4%) had sTIL levels below 30%, 266 (25.6%) had 30% or greater, 203 (19.5%) had 50% or greater, and 141 (13.5%) had 75% or greater. Patients with pT1abN0 tumors had a more favorable outcome vs patients with pT1cN0 tumors, with a 10-year BCSS of 92% (95% CI, 89%-94%) vs 86% (95% CI, 82%-89%). In the overall cohort, sTIL levels of at least 30% were associated with better BCSS compared with sTIL levels less than 30% (96% and 87%, respectively; hazard ratio [HR], 0.45; 95% CI, 0.26-0.77). High sTIL levels of 50% or greater were associated with a better outcome than low sTIL levels of less than 50% (HR, 0.27; 95% CI, 0.10-0.74) in patients with pT1C tumors, with a 10-year BCSS of 95% increasing to 98% with sTIL levels of 75% or greater.
Conclusions And Relevance: Results of this study showed that patients with stage I TNBC and high level of sTILs who did not receive neoadjuvant or adjuvant chemotherapy had excellent 10-year BCSS. The findings further support the role of sTILs as integral biomarkers in prospective clinical trials of therapy optimization for this patient population.
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http://dx.doi.org/10.1001/jamaoncol.2024.1917 | DOI Listing |
Front Immunol
August 2025
Department of Molecular Pathology, The Affiliated Cancer Hospital of Zhengzhou University& Henan Cancer Hospital, Zhengzhou, China.
Objective: Tertiary Lymphoid Structures (TLSs) are ectopic lymphoid aggregates that form within the tumor microenvironment (TME) and are increasingly recognized as potential prognostic biomarkers in various cancers. However, the spatial heterogeneity and prognostic value of TLSs in esophageal squamous cell carcinoma (ESCC) remain poorly defined. This study aimed to characterize the spatial distribution patterns of TLSs and tumor-infiltrating lymphocytes (TILs), and to establish a refined prognostic model for ESCC patients in both surgery-only and neoadjuvant therapy cohorts.
View Article and Find Full Text PDFHum Reprod
September 2025
Department of Clinical Genetics, Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands.
Study Question: Can artificial intelligence (AI) and large language models (LLMs) effectively simplify patient education materials (PEMs) to advance reproductive genetic literacy and health equity?
Summary Answer: LLMs offer a promising approach to support healthcare professionals in generating effective, and simplified PEMs.
What Is Known Already: Reproductive genetic testing and counseling holds the potential to support a personalized approach to reduce the burden of genetic disorders. However, its uptake remains limited due to the complexity of the tests and the way that PEMs have been designed.
Childs Nerv Syst
July 2025
Faculty of Engineering and Natural Sciences, Department of Molecular Biology and Genetics, Biruni University, Istanbul, 34015, Turkey.
Background: Neural tube defects (NTDs) are severe congenital malformations with complex and multifactorial etiologies involving genetic, environmental, and metabolic factors. Despite folic acid fortification efforts, a considerable proportion of cases remains unexplained at the molecular level.
Objective: This study aimed to identify rare pathogenic variants in patients with NTDs using whole exome sequencing (WES) and to evaluate their functional significance through systems biology approaches.
Breast J
July 2025
Department of Radiology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin 150081, Heilongjiang, China.
To investigate the association between mammographic extratumoral signs, specifically their subclassifications, of nonspiculate and noncalcified masses (NSNCMs) and prognostic factors in breast cancer. This retrospective study analyzed imaging and pathological data from 374 patients, categorizing extratumoral signs into structural abnormalities (parenchymal and trabecular) and halo, while also undergoing subclassification. The focus prognostic factors were achieved through screening.
View Article and Find Full Text PDFESMO Open
May 2025
Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei. Electronic address:
Background: Stromal tumor-infiltrating lymphocytes (sTILs) have significant prognostic value for breast cancer patients, but its accurate assessment can be very challenging. We comprehensively studied the pitfalls faced by pathologists with different levels of professional experience, and explored clinical applicability of reference cards (RCs)- and artificial intelligence (AI)-assisted methods in assessing sTILs.
Materials And Methods: Three rounds of ring studies (RSs) involving 12 pathologists from four hospitals were conducted.