Objective:To establish and evaluate a second-tier screening method for neonatal congenital adrenal hyperplasia (CAH) and develop appropriate screening interpretation criteria.Methods:We employed liquid chromatography-tandem mass spectrometry to simultaneously detect five steroid hormones in dried blood spots: 17α-hydroxyprogesterone (17α-OHP), androstenedione (A4), 11-deoxycortisol (11-DOC), 21-deoxycortisol (21-DOC), and cortisol (F), calculating (17α-OHP+A4)/F and (17α-OHP+21-DOC)/F ratios for second-tier CAH screening. The study utilized 429 residual dried blood spot samples from neonates (0-7 days) who completed first-tier screening between January 2020 and March 2024 in Guangzhou Women and Children's Medical Center, Guangzhou Medical University, including first-tier negatives ( n=369), confirmed false positives ( n=50), and CYP21A2-confirmed 21-hydroxylase deficiency patients ( n=10). Mann-Whitney U and Kruskal-Wallis tests analyzed steroid concentration variations across gestational ages and birth weights in all negative samples, with reference intervals established via P2.5- P97.5 percentiles and screening cutoffs set at population P97.5. Receiver operating characteristic (ROC) curve analysis identified optimal interpretation indicators among steroid hormone profiles, with second-tier screening performance evaluated by comparing sensitivity and specificity across different steroid hormone indicators to establish the optimal diagnostic criteria. Results:The five steroid hormones demonstrated intra-assay precision with coefficient of variation (CV) of 9.8%-14.2% and inter-assay precision with CV of 4.7%-14.4% across three different concentration levels of quality control materials. Accuracy ranged from 98.5% to 110.0% and the lower limits of quantification were 0.25 ng/ml for 17α-OHP, 0.05 ng/ml for A4/11-DOC, 0.31 ng/ml for 21-DOC, and 0.1 ng/ml for F. Stratification by gestational age categorized 17α-OHP into ≤31, 32-34, and ≥35 weeks; A4 into ≤31, 32-36, and ≥37 weeks; and 11-DOC into ≤31 and ≥32 weeks, while the remaining indicators were not stratified. When grouped by birth weight (low/normal), all measured parameters except 21-DOC showed statistically significant differences between groups (all P<0.05). Established reference intervals included 17α-OHP: 0.53-7.82 ng/ml (≤31 weeks), <0.25-3.60 ng/ml (32-34 weeks), <0.25-1.64 ng/ml (≥35 weeks); A4: 0.12-2.36 ng/ml (≤31 weeks), <0.05-1.45 ng/ml (32-36 weeks), 0.17-0.95 ng/ml (≥37 weeks); 11-DOC: 0.43-4.04 ng/ml (≤31 weeks), 0.08-1.46 ng/ml (≥32 weeks); F: 1.70-83.70 ng/ml; 21-DOC: <0.31-0.69 ng/ml; (17α-OHP+A4)/F: 0.01-0.74; and (17α-OHP+21-DOC)/F: 0.01-0.69. Comprehensive comparison of CAH second-tier screening performance demonstrated that interpretation based on elevated 17α-OHP accompanied by either elevated 21-DOC or elevated ratios [(17α-OHP+A4)/F or (17α-OHP+21-DOC)/F] achieved 100% sensitivity, 96% specificity, and a 96% reduction in false-positive rate. Conclusion:The application of liquid chromatography-tandem mass spectrometry for multi-steroid hormone profiling in second-tier neonatal CAH screening, utilizing gestational age-specific 17α-OHP cutoffs combined with elevated 21-DOC or ratio criteria, demonstrated 100% screening sensitivity while substantially reducing false-positive rates from primary screening, though further validation with expanded sample sizes remains necessary.

Objective:To establish and evaluate a second-tier screening method for neonatal congenital adrenal hyperplasia (CAH) and develop appropriate screening interpretation criteria.Methods:We employed liquid chromatography-tandem mass spectrometry to simultaneously detect five steroid hormones in dried blood spots: 17α-hydroxyprogesterone (17α-OHP), androstenedione (A4), 11-deoxycortisol (11-DOC), 21-deoxycortisol (21-DOC), and cortisol (F), calculating (17α-OHP+A4)/F and (17α-OHP+21-DOC)/F ratios for second-tier CAH screening. The study utilized 429 residual dried blood spot samples from neonates (0-7 days) who completed first-tier screening between January 2020 and March 2024 in Guangzhou Women and Children's Medical Center, Guangzhou Medical University, including first-tier negatives ( n=369), confirmed false positives ( n=50), and CYP21A2-confirmed 21-hydroxylase deficiency patients ( n=10). Mann-Whitney U and Kruskal-Wallis tests analyzed steroid concentration variations across gestational ages and birth weights in all negative samples, with reference intervals established via P2.5- P97.5 percentiles and screening cutoffs set at population P97.5. Receiver operating characteristic (ROC) curve analysis identified optimal interpretation indicators among steroid hormone profiles, with second-tier screening performance evaluated by comparing sensitivity and specificity across different steroid hormone indicators to establish the optimal diagnostic criteria. Results:The five steroid hormones demonstrated intra-assay precision with coefficient of variation (CV) of 9.8%-14.2% and inter-assay precision with CV of 4.7%-14.4% across three different concentration levels of quality control materials. Accuracy ranged from 98.5% to 110.0% and the lower limits of quantification were 0.25 ng/ml for 17α-OHP, 0.05 ng/ml for A4/11-DOC, 0.31 ng/ml for 21-DOC, and 0.1 ng/ml for F. Stratification by gestational age categorized 17α-OHP into ≤31, 32-34, and ≥35 weeks; A4 into ≤31, 32-36, and ≥37 weeks; and 11-DOC into ≤31 and ≥32 weeks, while the remaining indicators were not stratified. When grouped by birth weight (low/normal), all measured parameters except 21-DOC showed statistically significant differences between groups (all P<0.05). Established reference intervals included 17α-OHP: 0.53-7.82 ng/ml (≤31 weeks), <0.25-3.60 ng/ml (32-34 weeks), <0.25-1.64 ng/ml (≥35 weeks); A4: 0.12-2.36 ng/ml (≤31 weeks), <0.05-1.45 ng/ml (32-36 weeks), 0.17-0.95 ng/ml (≥37 weeks); 11-DOC: 0.43-4.04 ng/ml (≤31 weeks), 0.08-1.46 ng/ml (≥32 weeks); F: 1.70-83.70 ng/ml; 21-DOC: <0.31-0.69 ng/ml; (17α-OHP+A4)/F: 0.01-0.74; and (17α-OHP+21-DOC)/F: 0.01-0.69. Comprehensive comparison of CAH second-tier screening performance demonstrated that interpretation based on elevated 17α-OHP accompanied by either elevated 21-DOC or elevated ratios [(17α-OHP+A4)/F or (17α-OHP+21-DOC)/F] achieved 100% sensitivity, 96% specificity, and a 96% reduction in false-positive rate. Conclusion:The application of liquid chromatography-tandem mass spectrometry for multi-steroid hormone profiling in second-tier neonatal CAH screening, utilizing gestational age-specific 17α-OHP cutoffs combined with elevated 21-DOC or ratio criteria, demonstrated 100% screening sensitivity while substantially reducing false-positive rates from primary screening, though further validation with expanded sample sizes remains necessary.

Purpose: This study aims to explore whether neoadjuvant chemotherapy with immunotherapy (NACI) leads to different tumor shrinkage patterns, based on magnetic resonance imaging (MRI), compared to neoadjuvant chemotherapy (NAC) alone in patients with triple-negative breast cancer (TNBC). Additionally, the study investigates the relationship between tumor shrinkage patterns and treatment efficacy was investigated. Methods: This retrospective study included patients with TNBC patients receiving NAC or NACI from January 2019 until July 2021 at our center. Pre- and post-treatment MRI results were obtained for each patient, and tumor shrinkage patterns were classified into three categories as follows: 1) concentric shrinkage (CS); 2) diffuse decrease; and 3) no change.Tumor shrinkage patterns were compared between the NAC and NACI groups, and the relevance of the patterns to treatment efficacy was assessed. Results: Of the 99 patients, 65 received NAC and 34 received NACI. The CS pattern was observed in 53% and 20% of patients in the NAC and NACI groups, respectively. Diffuse decrease pattern was observed in 36% and 68% of patients in the NAC and NACI groups. The association between the treatment regimens (NAC and NACI) and tumor shrinkage patterns was statistically significant (p = 0.004). The postoperative pathological complete response (pCR) rate was 45% and 82% in the NAC and NACI groups (p < 0.001), respectively. In the NACI group, 17% of patients with the CS pattern and 56% of those with the diffuse decrease pattern achieved pCR (p = 0.903). All tumor shrinkage patterns were associated with achieved a high pCR rate in the NACI group. Conclusion Our study demonstrates that the diffuse decrease pattern of tumor shrinkage is more common following NACI than that following NAC. Furthermore, our findings suggest that all tumor shrinkage patterns are associated with a high pCR rate in patients with TNBC treated with NACI.

This corrects the article “Analysis of Tau Protein Expression in Predicting Pathological Complete Response to Neoadjuvant Chemotherapy in Different Molecular Subtypes of Breast Cancer” in volume 23 on page 47.This article was initially published on the Journal of Breast Cancer with a misspelled the abbreviation in figure 3. The abbreviation ‘HP’ should be corrected as ‘HR’.

PURPOSE: Tau is a microtubule-associated protein that can be found in both normal and abnormal breast cells. Whether the expression of Tau protein can predict the response to neoadjuvant chemotherapy (NACT) is still unclear. In this study, we assessed the role of Tau protein expression in predicting a pathological complete response (pCR) to NACT for different subtypes of breast cancer. METHODS: Four hundred and sixty-eight eligible patients were retrospectively recruited in our study. The relationship between clinicopathologic factors, including Tau protein expression, and pCR in different subtypes was evaluated using logistic regression analysis. Correlation between Tau and disease-free survival (DFS) and overall survival (OS) was performed using Kaplan–Meier analysis. RESULTS: The expression of Tau protein was negatively correlated with pCR, especially in triple-negative breast cancer (TNBC). No significant difference was observed in the luminal human epidermal growth factor receptor-2 (HER2)-negative subtype and HER2-positive subtype. Patients with pCR were associated with better DFS and OS (p < 0.05). However, Tau protein expression had no association with either DFS or OS (p > 0.05). CONCLUSION Tau protein expression can predict pCR before NACT in TNBC, but there was no correlation between Tau expression and DFS or OS.