98%
921
2 minutes
20
Background: Higher density of stromal tumor-infiltrating lymphocytes (sTILs) at baseline has been associated with increased rates of pathological complete response (pCR) after neoadjuvant chemotherapy (NACT) in triple-negative breast cancer (TNBC). While evidence supports favorable association of pCR with survival in TNBC, an independent impact of sTILs (after adjustment for pCR) on survival is not yet established. Moreover, the impact of sTIL dynamics during NACT on pCR and survival in TNBC is unknown.
Methods: The randomized WSG-ADAPT TN phase II trial compared efficacy of 12-week nab-paclitaxel with gemcitabine versus carboplatin. This preplanned translational analysis assessed impacts of sTIL measurements at baseline (sTIL-0) and after 3 weeks of chemotherapy (sTIL-3) on pCR and invasive disease-free survival (iDFS). Predictive performance of sTIL-0 and sTIL-3 for pCR was quantified by ROC analysis and logistic regression; Kaplan-Meier estimation and Cox regression (with mediation analysis) were used to determine their impact on iDFS.
Results: For prediction of pCR, the AUC statistics for sTIL-0 and sTIL-3 were 0.60 and 0.63, respectively, in all patients; AUC for sTIL-3 was higher in NP/G. The positive predictive value (PPV) of "lymphocyte-predominant" status (sTIL-0 ≥ 60%) at baseline was 59.3%, though only 13.0% of patients had this status. To predict non-pCR, the cut point sTIL-0 ≤ 10% yielded PPV = 69.5% while addressing 33.8% of patients. Higher sTIL levels (particularly at 3 weeks) were independently and favorably associated with better iDFS, even after adjusting for pCR. For example, the adjusted hazard ratio for 3-week sTILs ≥ 60% (vs. < 60%) was 0.48 [0.23-0.99]. Low cellularity in 3-week biopsies was the strongest individual predictor for pCR (in both therapy arms), but not for iDFS.
Conclusion: The independent impact of sTILs on iDFS suggests that favorable immune response can influence key tumor biological processes for long-term survival. The results suggest that the reliability of pCR following neoadjuvant therapy as a surrogate for survival could vary among subgroups in TNBC defined by immune response or other factors. Dynamic measurements of sTILs under NACT could support immune response-guided patient selection for individualized therapy approaches for both very low levels (more effective therapies) and very high levels (de-escalation concepts).
Trial Registration: Clinical trials No: NCT01815242, retrospectively registered January 25, 2013.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438265 | PMC |
http://dx.doi.org/10.1186/s13058-022-01552-w | DOI Listing |
Braz Oral Res
September 2025
Universidade de São Paulo - USP, School of Dentistry of Ribeirão Preto, Department of Pediatric Dentistry, Ribeirão Preto, SP, Brazil.
Tumor necrosis factor-alpha (TNF-α) is a cytokine involved in the immune-inflammatory response. It can induce an odontoblastic phenotype and enhance biomineralization in dental pulp mesenchymal stem cells but does not have the same effect on osteoblasts. The reasons for this differential response, despite the shared lineage of these cell types, are not yet clear.
View Article and Find Full Text PDFMol Cell Biochem
September 2025
Department of Laboratory Medicine, The People's Hospital of Zhongjiang, No. 96, Dabei Street, Kaijiang Town, Zhongjiang County, Deyang City, 618100, Sichuan Province, China.
5-methylcytosine (m5C) methylation is a post-transcriptional modification of RNAs, and its dysregulation plays pro-tumorigenic roles in lung adenocarcinoma (LUAD). Here, this study elucidated the mechanism of action of NSUN2, a major m5C methyltransferase, on LUAD progression. mRNA expression was analyzed by quantitative PCR.
View Article and Find Full Text PDFInflamm Res
September 2025
Department of General Surgery, Beijing Anzhen Hospital, Capital Medical University, No.2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Background: The roles of long non-coding RNAs (lncRNAs) in the progression of various human tumors have been extensively studied. However, their specific mechanisms and therapeutic potential in Triple-Negative Breast Cancer (TNBC) remain to be fully elucidated.
Materials And Methods: The qRT-PCR assay was utilized to assess the relative mRNA levels of TFAP2A-AS1, PHGDH, and miR-6892.
J Pharm Pharmacol
September 2025
Department of Clinical Pharmacy, Hebei Medical University Third Hospital. No. 139 Ziqiang Road, Qiaoxi District, Shijiazhuang 050051, China.
Objectives: To investigate the antitumor effects of aucubin (AC) in non-small cell lung cancer (NSCLC) and uncover its plausible mechanism against lung cancer stem-like cells (LCSCs).
Methods: In vitro experiments included MTT (3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide, a reagent commonly used for cell viability assay) and colony formation assays to assess anti-proliferative effects on A549 and NCI-H1975 lung cancer cell lines, wound healing and Transwell invasion assays to evaluate inhibition of cell migration and invasion, tumorsphere-formation experiments to detect changes in NSCLC cell stemness, as well as Western blot and quantitative reverse transcription polymerase chain reaction (qRT-PCR) analyses to measure the expression of LCSC markers (CD44, CD133, Oct4, and Nanog). In vivo experiments were conducted to observe the impact of AC on NSCLC metastasis and mouse survival rates.
Front Immunol
September 2025
Department of Thoracic Surgery, Shenzhen People's Hospital (The First Affiliated Hospital, Southern University of Science and Technology; The Second Clinical Medical College, Jinan University), Shenzhen, Guangdong, China.
Background: Lung cancer remains the leading cause of cancer-related mortality globally, primarily due to late-stage diagnosis, molecular heterogeneity, and therapy resistance. Key biomarkers such as EGFR, ALK, KRAS, and PD-1 have revolutionized precision oncology; however, comprehensive structural and clinical validation of these targets is crucial to enhance therapeutic efficacy.
Methods: Protein sequences for EGFR, ALK, KRAS, and PD-1 were retrieved from UniProt and modeled using SWISS-MODEL to generate high-confidence 3D structures.