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Results for “Hormone sensitive”

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At least 19 recordsLinked to original sources

PubMed2026

Prospective Evaluation of Circulating Tumor DNA in Metastatic Hormone-Sensitive Prostate Cancer.

PURPOSE: There are few established prognostic biomarkers in metastatic hormone-sensitive prostate cancer (mHSPC). Disease volume and timing of metastases are prognostic and predictive factors but may be inadequate due to heterogeneity. Circulating tumor DNA (ctDNA) provides both circulating volume (tumor fraction [TF]) and genomic data. There are limited data on ctDNA in mHSPC. METHODS: This was a multicenter, prospective study of ctDNA testing in mHSPC. Presented here are the results before androgen-deprivation therapy initiation. The primary objective was to evaluate the association between TF and overall survival (OS) and time to mCRPC (TTCRPC). Secondary analyses included evaluating outcomes in subgroups of interest and key genomic subtypes. RESULTS: Between 2018 and 2024, 85 patients were enrolled, of whom 72 (25% Black) had evaluable baseline ctDNA samples and are included herein. Baseline TF was positive in 46 patients (64%). Compared with patients with negative ctDNA TF, most patients with positive ctDNA TF had de novo (87% v 39%, P < .001) and high-volume disease (80% v 46%, P = .01). At a median follow-up of 20.8 months, median OS was not reached (NR) with those with negative ctDNA TF and 33 months with positive ctDNA TF (hazard ratio [HR], 3.33 [95% CI, 1.1 to 9.9]; P = .03). However, a negative TF at baseline was associated with an undetectable 7-month prostate-specific antigen, a validated OS surrogate. Median TTCRPC was NR versus 13 months (HR, 3.43 [95% CI, 1.5 to 7.9]; P = .004). ctDNA TF was also potentially prognostic in high-volume disease and those who received doublet therapy. CONCLUSION: In this diverse cohort, a positive ctDNA TF at baseline was associated with worse outcomes in mHSPC and may potentially complement current further risk stratification tools.

Humans↗

PubMed2026

Non-Cancer Causes of Death in Patients With Metastatic Hormone-Sensitive Prostate Cancer: A Real-World Analysis.

BACKGROUND: As overall survival improves in metastatic hormone-sensitive prostate cancer (mHSPC), non-cancer causes of death are increasingly relevant. METHODS: We conducted a real-world multicenter study of patients diagnosed with mHSPC treated with ADT alone or in combination. Causes of death before progression to castration-resistant prostate cancer (CRPC) were classified as cancer- or non-cancer-related. Deaths were classified as non-cancer-related if they occurred in the absence of cancer progression. RESULTS: Among 565 patients, 35 (6.2%) died from non-cancer-related causes without disease progression, mainly infections (34%) and cardiovascular events (20%). CONCLUSIONS: Non-cancer mortality represents a meaningful proportion of deaths in mHSPC, supporting systematic cardiovascular risk evaluation and infection-prevention strategies.

Humans↗

PubMed2026

Clinical Variable-Based Machine Learning for Predicting Early mCRPC Using Exclusively Clinical Variables: Development and Multicenter External Validation.

BACKGROUND AND OBJECTIVE: Metastatic hormone-sensitive prostate cancer (mHSPC) exhibits heterogeneous progression patterns, with early progression to metastatic castration-resistant prostate cancer (mCRPC) within 12 months indicating aggressive tumor biology and poor prognosis. Current risk stratification tools (CHAARTED, LATITUDE) offer limited individualized prediction. Machine learning approaches are increasingly applied to predict prostate cancer progression, but most models show modest performance (AUC 0.68-0.72), limited external validation, or require genomic variables unavailable in routine practice. This study aimed to develop and externally validate a novel RINH algorithm for predicting early mCRPC progression (≤ 12 months) using exclusively clinical variables, positioning it as a superior alternative to conventional ML classifiers. METHODS: This multicenter study enrolled 412 patients with de novo mHSPC from seven Spanish academic centers using mixed retrospective-prospective data collection. Twenty clinical variables were recorded, including demographics, PSA, ISUP grade, metastatic localization, CHAARTED/LATITUDE classifications, and treatment modalities. Following RINH-based outlier exclusion (55 patients), 357 patients (29 with early progression, 8.1%) were used to train six ML algorithms: RINH, Logistic Regression, Linear Discriminant, Support Vector Machine, Random Forest, and Subspace Discriminant. A two-tiered validation strategy integrated stratified fivefold cross-validation across all centers and formal external validation using center 1 (n = 121, 19 events) for training and centers 2-7 (n = 207, 10 events) for independent testing. Performance metrics included AUC, sensitivity, specificity, accuracy, and F1-score. KEY FINDINGS AND LIMITATIONS: Artificial intelligence and machine learning (ML) are transforming oncology, promising personalized risk stratification beyond traditional clinical criteria. In metastatic hormone-sensitive prostate cancer (mHSPC), early progression to castration resistance (mCRPC) within 12 months signals aggressive biology and poor prognosis, yet current tools (CHAARTED, LATITUDE) offer limited individualized prediction. Multiple ML models have been proposed with variable success: most achieve modest performance (AUC 0.68-0.72), lack robust external validation, or rely on genomic variables inaccessible in routine practice. We propose a novel approach using the Rivality Index Neighborhood (RINH) algorithm, demonstrating superior predictive capacity in an initial multicenter validation with exclusively clinical variables. This study provides rigorous multicenter external validation, advancing toward implementable precision oncology tools. CONCLUSIONS AND CLINICAL IMPLICATIONS: The RINH algorithm achieves superior predictive performance for early mCRPC progression using exclusively clinical variables, representing a significant advance toward implementable risk stratification. However, low reliability scores in external validation underscore that excellent performance metrics alone do not guarantee stability. Before clinical deployment, validation in substantially larger cohorts with higher progression events is essential. If validated, this model could enable personalized, risk-adapted therapeutic strategies, refining patient selection for treatment intensification or de-escalation.

Humans↗

PubMed2026

Thyroxine enhances breast cancer cell survival and proliferation via TRβ1-Dependent PI3K/AKT signaling.

Thyroid hormones (TH) influence tumor biology through both genomic and non-genomic mechanisms. Specifically, thyroxine (T4) activates signaling pathways linked to cancer progression through interactions with nuclear receptors, such as TRβ1, and membrane receptors, including integrin αvβ3. Nevertheless, the precise role of T4 in breast cancer cell behavior and its underlying molecular mechanisms remain incompletely understood. The effects of physiological concentrations of T4 (10-9 M) on proliferation, cell viability, apoptotic signaling, and activation of intracellular pathways were evaluated in human mammary cell lines. Tumor cell lines (MCF-7 and MDA-MB-231) and the non-tumor mammary epithelial cell line MCF-10A were treated with T4 alone or in combination with the thyroid hormone receptor antagonist 1-850. Cell proliferation was measured using the MTT assay, and viability was determined by trypan blue exclusion. Protein expression and signaling pathways were analyzed by Western blot, including assessment of apoptotic markers (caspases, PARP, Bax, Bcl-2), PCNA, steroid hormone receptors, and signaling mediators such as PI3K, AKT, and ERK. Immunocytochemistry was used to evaluate TRβ1, integrin αvβ3, and Ki67 expression. T4 treatment increased proliferation and survival in hormone-sensitive tumor cells, accompanied by modulation of apoptosis-related proteins and activation of the PI3K/AKT pathway. The antagonist 1-850 selectively attenuated TRβ1-dependent effects, enabling distinction between genomic and integrin-mediated mechanisms. These effects were observed exclusively in hormone-sensitive tumor cells. These findings support a role for T4 in breast cancer progression and identify TH-related signaling pathways as potential therapeutic targets.

Apoptosis↗

PubMed2026

SPEN inactivation drives resistance to androgen receptor pathway inhibitors in metastatic prostate cancer.

PURPOSE: Treatment intensification with androgen receptor pathway inhibitors (ARPIs) has become the standard of care for patients with metastatic prostate cancer. However, there remains an unmet need to identify biomarkers for treatment resistance. Here, we identify SPEN inactivation as a driver of ARPI resistance. EXPERIMENTAL DESIGN: Pre-clinical studies were performed in LNCaP and VCaP cell lines. Data from a nationwide prostate cancer clinico-genomic database were extracted. Log-rank test and Cox proportional hazards models were used to compare time to next treatment (TTNT) on ARPI with/without SPEN mutations. SPEN immunohistochemistry was performed on a rapid autopsy metastatic tissue microarray. RESULTS: SPEN was identified as a top enzalutamide resistance hit in an unbiased genome-wide loss-of-function screen. SPEN inactivation results in upregulation of cell cycle proliferation and basal/stem cell activity as well as increased translation of pro-oncogenic genes. In a large patient cohort (N=6828), SPEN mutations are enriched following treatment with ARPIs (2.1% to 3.6%, p=0.001) and correlate with shorter TTNT on ARPI in patients with metastatic hormone-sensitive prostate cancer (6.4 vs 29.7 months, HR 2.67, p=0.02). In a metastatic rapid autopsy cohort (N=181), low SPEN H-score is associated with shorter time on abiraterone (5.0 vs 7.9 months, p=0.023) in metastatic castration-resistant prostate cancer. CONCLUSIONS: In real-world cohorts, loss of SPEN function across genomic, transcriptomic, and protein levels is associated with reduced benefit from ARPI therapy in metastatic prostate cancer. These findings identify SPEN inactivation as a clinically relevant biomarker of ARPI resistance that warrants prospective evaluation to guide treatment selection.

Journal Article↗

PubMed2026

ATP-Dependent Chromatin Remodelers in Prostate Cancer Progression and Therapeutic Resistance.

ATP-dependent chromatin remodelers (ACRs) have emerged as central determinants of prostate cancer (PCa) progression and therapy resistance. Organized into four mechanistically distinct families (SWI/SNF, ISWI, CHD, and INO80/SWR), ACRs govern nucleosome positioning genome-wide and thereby occupy a central position in the epigenomic regulatory landscape that dictates where and when transcription factors, including the androgen receptor (AR), can engage chromatin. This review discusses ACR dysregulation in PCa through both mutational and non-mutational mechanisms. These are illustrated by discussing how the functional consequences are highly context-dependent, varying with disease stage, prior treatment exposure, and tumor ancestry. Loss of the tumor suppressors RB1, TP53, and PTEN each generates specific ACR dependencies that are potentially therapeutically exploitable, including synthetic lethal relationships between PTEN deficiency and SWI/SNF ATPase activity. Across the spectrum of AR signaling states, from hormone-sensitive disease through therapy-resistant neuroendocrine and double-negative PCa subtypes, ACR complex composition and genomic targeting are continuously reprogrammed to enable and sustain lineage plasticity and endocrine therapy escape. Therapeutic strategies targeting SWI/SNF, ISWI, and INO80/SWR complexes are at varying stages of preclinical and clinical development and are attractive novel avenues to target therapy resistant PCa.

ATP dependent chromatin remodeling↗

PubMed2025

Exploring the therapeutic potential of extract in targeting localized adiposity.

OBJECTIVE: To determine direct targeting of localized adiposity through Morus alba Linne bark injection based on pharmacology network analysis. METHODS: Male C57BL/6J mice were fed a high-fat diet (HFD) to induce obesity. After 6 weeks on HFD, the water extract of Morus alba L.bark (MAB, 2 mg/mL) was locally injected into one inguinal fat pad, while saline was injected into the other side, 3 times/week for 6 weeks (n = 6/group). The water extract of MAB was freeze-dried and then diluted in saline before use. RESULTS: HFD-fed mice treated with local MAB topical injection showed reduced adipocyte weight and size in inguinal fat pads by dual-energy X-ray absorptiometry. No toxicity changes seen in liver, spleen, kidney tissue, or alanine aminotransferase / aspartate aminotransferase levels in serum by MAB injection. Protein levels of phosphorylated insulin receptor substrate-1 and glucose transporter type 4, and mRNA expression of adiponectin, were increased in inguinal adipose tissue injected with MAB locally. Locally MAB injection led to a decrease in glucose-6-phosphatase and phosphoenolpyruvate carboxykinase, linked to gluconeogenesis, while forkhead box protein O1, which regulates these factors, was increased. Moreover, there was an increase in adenosine 5'-monophosphate-activated protein kinase, related to lipogenesis, as well as elevated levels of hormone-sensitive lipase and fatty acid synthase, both associated with lipolysis. These results support the 'insulin signaling pathway' and 'regulation of lipolysis in adipocytes' identified in the Kyoto Encyclopedia of Genes and Genomes pathway through network analysis. CONCLUSION: This study suggests that MAB topical injection exhibits localized fat reduction by inhibiting insulin resistance, gluconeogenesis and lipogenesis mediator, while activating lipolysis enzymes within targeted adipose site.

Animals↗

PubMed2026

Genomic and Transcriptomic Correlates of Deep PSA Response in Patients with Metastatic Androgen Pathway Modulation-Sensitive Prostate Cancer.

BACKGROUND: Despite advances in metastatic androgen pathway modulation-sensitive prostate cancer (mAPMS) treatment, outcomes remain heterogeneous. Achieving a post-treatment undetectable prostate specific antigen (PSA) is a strong prognostic marker. We aimed to identify genomic and transcriptomic determinants of PSA response in a real-world clinical-genomic cohort. PATIENTS AND METHODS: Patients with mAPMS who underwent DNA (Tempus xT) and, in a subset, RNA (Tempus xR) sequencing were identified from the Tempus Lens database. Inclusion required stage IV disease within 90 days of sample collection and samples obtained within 12 months before or 3 months after treatment initiation. Patients with PSA at 6 months (n = 525) were classified as PSA-low (<0.1 ng/mL, n = 240) or PSA-high (≥0.1 ng/mL, n = 285). Overall survival (OS) was assessed by 6-month landmark analysis with delayed-entry adjustment. Logistic and Cox models were adjusted for clinical variables. Sensitivity analyses used a relative definition of > 95% PSA decline from baseline. RESULTS: Baseline PSA was lower in PSA-low versus PSA-high patients (24 vs 36 ng/mL, p = 0.01). SPOP (17% vs 11%) and ZFHX3 (2.5% vs 6%) alterations differed between groups, but neither persisted after adjustment. Using the relative definition, ZMYM3 and JAK1 alterations were independently associated with failure to achieve a deep PSA response. Expression of PSMA, TROP2, B7-H3, and STEAP1 did not differ between groups. PSA-low status was independently associated with improved OS, as was deep relative response. CONCLUSION: Deep PSA response at 6 months correlates with improved OS in mAPMS. Integrating molecular markers with PSA response may inform treatment intensification or de-escalation strategies.

Biomarkers↗

PubMed2026

Sensitivity to Endocrine Therapy Index Predicts Benefit from Weekly Adjuvant Paclitaxel for Hormone Receptor-Positive Breast Cancer in the GEICAM/9906 Trial.

PURPOSE: To independently validate that low endocrine transcriptional activity measured by the sensitivity to endocrine therapy (SETER/PR) index in hormone receptor-positive (HR+) breast cancer predicts benefit from dose-dense paclitaxel chemotherapy within a second prospective-retrospective biomarker study. EXPERIMENTAL DESIGN: We conducted a blinded, prospective-retrospective biomarker analysis within the GEICAM/9906 trial (NCT00129922), which compared adjuvant 5-fluorouracil, epirubicin, and cyclophosphamide (FEC) followed by weekly paclitaxel (P) versus six cycles of FEC in lymph node-positive breast cancer. The SETER/PR index was measured in all available HR+/HER2- tumor RNA samples using a prespecified cut point (<0.75). The primary endpoint was the distant recurrence-free interval (DRFI); secondary endpoints were overall survival (OS) and breast cancer-specific survival (BCSS). RESULTS: Of 647 HR+/HER2- tumors, 567 (87.6%) passed assay quality control (279 FEC + P; 288 FEC). A low SETER/PR index was identified in 92 tumors (16.2%). There was a significant interaction between SETER/PR status and treatment on DRFI (P = 0.046). Among patients with a low SETER/PR index, FEC + P significantly improved DRFI [hazard ratio (HR), 0.46; 95% confidence interval (CI), 0.22-0.95; P = 0.035], with similar results after adjustment (HR, 0.48; 95% CI, 0.24-1; P = 0.049). No treatment benefit was observed for SETER/PR ≥0.75 (HR, 1.02; 95% CI, 0.70-1.47; P = 0.931). Differences in OS and BCSS did not reach significance. CONCLUSIONS: Low endocrine transcriptional activity predicts benefit from adding weekly paclitaxel to anthracycline-based adjuvant chemotherapy in HR+/HER2- breast cancer. These findings independently validate the SETER/PR index as a predictive biomarker for paclitaxel-based chemotherapy and support its potential role in guiding regimen selection.

Humans↗

PubMed2025

Steroid hormone-mediated epigenetic programming during puberty: uncovering links to depression.

DNA methylation (DNAm) is a key epigenetic modification that dynamically regulates eukaryotic development over time. DNAm has been found to influence a variety of biological processes in both normative and pathological states, such as depression. Since DNAm can serve as an interface between environmental influence and gene expression, it is a mechanism studied in the context of many pathologies, including psychiatric. Depression is a complex and heterogeneous disorder strongly influenced by puberty, as evidenced by increased rates in both sexes after sexual maturation. However, this effect is more pronounced in females, contributing to its twofold increased lifetime prevalence compared to males. Additionally, depression is consistently associated with altered DNAm at specific genomic sites. In this review, we discuss how DNAm programming can affect functional pathways during puberty and in turn, influence disease outcomes. Here, we highlight the bidirectional relationship of steroid hormone surges during this sensitive period and DNAm, adding a layer of complexity and insight into the pathophysiology of depression. Specifically, we explore the extent of DNAm change throughout puberty, how it contributes to individual and sex-specific differences in puberty, and how it may influence the risk for depression.

Humans↗

PubMed2026

Changes in ACL T2* Metrics Over the Course of the Female Menstrual Cycle: A New Biomarker for the ACL Injury Risk?

BACKGROUND: Sex-based disparities in the anterior cruciate ligament (ACL) injury risk may be partly explained by cyclic variations in sex hormones that drive systemic shifts in tissue osmoregulation. Ultrashort echo time (UTE) T2* magnetic resonance imaging provides a noninvasive, quantitative means of evaluating the water content and collagen orientation in tissue. HYPOTHESIS: Eumenorrheic female participants will exhibit significant ACL T2* changes across the cycle, while anovulatory control participants will demonstrate no significant changes over time. STUDY DESIGN: Cohort study; Level of evidence, 2. METHODS: A total of 25 women with no prior knee injuries were enrolled: 10 premenopausal, eumenorrheic participants and 15 anovulatory control participants (6 postmenopausal and 9 premenopausal using oral contraceptives). Bilateral knee magnetic resonance imaging was performed at 4 time points evenly spaced over 1 month, with the first visit within 24 hours of menses onset. Ovulation status was confirmed using commercially available ovulation predictor kits. Three-dimensional UTE sequences (11 echoes; 0.03-25 ms) were acquired to evaluate bicomponent ACL T2* metrics. Linear mixed-effects models assessed temporal differences in long and short T2* values, and the Cohen d quantified effect size. RESULTS: Eumenorrheic participants demonstrated significantly shorter preovulatory long T2* values compared with postovulatory values (mean difference, 1.0 ms [95% CI, 0.2-1.9 ms]; P = .015; Cohen d = 0.51). No significant temporal differences were observed for any T2* metric in anovulatory controls. CONCLUSION: Eumenorrheic female participants exhibited significant preovulatory to postovulatory changes in ACL T2* metrics, while anovulatory controls demonstrated no significant changes over time. These findings suggest that ACL T2* metrics are sensitive to cyclic fluctuations in female sex hormones across the menstrual cycle.

Humans↗

PubMed2024

A novel mouse model recapitulates the effects of rs2254524 variant in the lanosterol synthase gene on salt sensitivity and organ damage.

OBJECTIVE: The blood pressure (BP) response to salt intake (salt sensitivity) shows great variability among individuals and is more frequent in hypertensive patients. Elevated levels of the steroid hormone Endogenous Ouabain (EO) are associated with hypertension (HT) and salt sensitivity. The lanosterol synthase gene ( LSS ) plays a key role in the biosynthesis of steroids and its rs2254524 variant (Val642Leu) is linked to salt sensitivity in humans. This study aims to investigate the pathophysiological significance of the Lss missense variation in a new knock-in mouse model of salt-sensitive HT onset. METHODS: We generated a mouse model carrying the murine homolog (Val643Leu) of the human LSS variant. C57BL/6N LssV643L/V643L mice were fed different NaCl diets (low-salt, LSD; normal-salt, NSD; high-salt, HSD) and were characterized at functional, histological, and molecular levels. RESULTS: At baseline, mutant mice showed an enlarged kidney compared to the wild-type (WT) counterpart, but the Lss V643L variant did not affect EO biosynthesis nor systolic BP at 3 and 12 months. In HSD, we observed an increased systolic BP only in 12-month-old LssV643L/V643L mice, compared to NSD. Moreover, only the HSD LssV643L/V643L mice showed cardiac hypertrophy and a higher incidence of cardiac fibrosis compared to WT at 12 months. Finally, the Lss mRNA level was differentially regulated by HSD in the adrenal gland, liver, and heart of LssV643L/V643L mice compared to WT. CONCLUSIONS: The novel Lss mouse model resembles the salt-sensitive HT phenotype observed in hypertensive patients and provides a good model of salt-sensitive HT and HT-mediated organ damage.

Animals↗

PubMed2026

Interlaboratory Comparison of a Glucagon and Oxyntomodulin Immuno-LC-MS/MS Assay: Implications for Diabetes Research.

BACKGROUND: The quantification of plasma glucagon and oxyntomodulin is important in the assessment of α-cell function, which is impaired in patients with diabetes. We aimed to transfer between laboratories a novel assay that uses liquid chromatography-tandem mass spectrometry (LC-MS/MS) for the sensitive and specific measurement of these highly homologous hormones. METHODS: Simultaneous measurement of glucagon and oxyntomodulin used immunoaffinity enrichment and LC-MS/MS. Immunoenrichment used monoclonal antibodies that are available at-cost to researchers (deposited at the Developmental Studies Hybridoma Bank). Pure synthetic glucagon, characterized for purity and concentration, was used as a calibrant and is available to others. A detailed standard operating procedure was shared between 3 laboratories and the performance of the method was evaluated with samples collected from patients with and without diabetes. Method comparison was made with 2 commercially available, FDA-registered glucagon immunoassays. RESULTS: The method was linear over the normal range (1-20 pM). When measured in duplicate, the median interlaboratory imprecision (%CV) of the measurement of 40 samples was 6.3% (IQR 4.5%) and 14.4% (IQR 12.4%) for glucagon and oxyntomodulin, respectively. Method comparison with commercially available immunoassays demonstrated good (Mercodia, R = 0.92) or fair (Ansh, R = 0.70) agreement. Multivariable linear regression using LC-MS/MS glucagon and oxyntomodulin concentrations to predict immunoassay results indicated significant cross-reactivity of each immunoassay with oxyntomodulin. CONCLUSION: We have validated a sensitive and specific assay for glucagon and oxyntomodulin that can be deployed in high-complexity clinical laboratories for research or the care of patients. Commercially available glucagon immunoassays have significant interference from molecules other than glucagon.

Journal Article↗

PubMed2026

Genetic Evidence Links Sex Hormone-binding Globulin to Total Body Bone Mineral Density at Age 45-60 Years: A Two-sample Mendelian Randomization Study.

The menopausal transition and early postmenopause represent important periods for women's skeletal health, but the genetic relevance of metabolic, behavioral, and hormone-related factors to bone mineral density during midlife remains incompletely understood. This study used publicly available genome-wide association study summary statistics to examine associations between body mass index, 25-hydroxyvitamin D, sex hormone-binding globulin, high-density lipoprotein cholesterol, smoking initiation, and alcohol intake frequency and total body bone mineral density at ages 45-60 years. Exposure genome-wide association study summary statistics were derived from large European-ancestry populations and were not restricted to midlife women, whereas the outcome genome-wide association study captured an age-stratified total body bone mineral density phenotype at age 45-60 years. This age range overlaps with the menopausal transition and early postmenopause in women. Univariable, reverse, and multivariable Mendelian randomization analyses were performed, with inverse-variance weighting as the primary method and complementary sensitivity analyses used to assess heterogeneity, pleiotropy, and result stability. Genetically predicted higher sex hormone-binding globulin was associated with lower total body bone mineral density (β = -0.111, 95% CI: -0.170 to -0.051; P = 0.0003). Reverse Mendelian randomization did not support reverse causation from bone mineral density to sex hormone-binding globulin. Multivariable analyses suggested that this association persisted after adjustment for selected metabolic biomarkers. The other examined exposures did not show consistent evidence of association. These findings provide genetic evidence linking sex hormone-binding globulin to total-body bone mineral density at ages 45-60 years. Further prospective and predictive studies are needed to evaluate its clinical relevance beyond established bone health assessment tools.

Humans↗

PubMed2026

Functional Characterization of the Oat (Avena sativa L.) TCP Transcription Factor AsTCP38 Reveals Its Role in Low-Nitrogen Stress Tolerance.

Nitrogen limitation restricts plant growth, development, and yield in crops and forage species. Although TCP transcription factors are implicated in diverse abiotic-stress responses, the functions of most TCP genes in oat remain unclear. Here, we cloned and characterized the AsTCP38 gene, which is 1215 bp long and encodes a 405-amino-acid protein. The predicted protein contains a conserved TCP domain and shares its highest sequence similarity with Arabidopsis thaliana (A. thaliana) AtTCP15. The AsTCP38 protein localized to the nucleus, and promoter analysis identified cis-elements associated with light, hormone, and stress responses. We generated AsTCP38-overexpressing A. thaliana and wheat plants and screened an oat leaf yeast cDNA library for candidate interacting proteins. In these heterologous overexpression lines, AsTCP38 overexpression was associated with greater abscisic acid (ABA) sensitivity and improved seedling growth under low-nitrogen conditions. Changes in antioxidant-enzyme activities, nitrogen-metabolism-related enzyme activities, and endogenous hormone contents were also observed. Together, these findings suggest that AsTCP38 may participate in low-nitrogen responses and provide a basis for further functional studies in oat. Direct regulatory targets and the contribution of AsTCP38 to low-nitrogen adaptation in oat remain to be established.

Avena↗

PubMed2026

Current landscape of Cys-OxiPTMs in plants: from hormone signaling to phenotypic control and their potential in sustainable agriculture.

The integration of environmental and developmental cues into coherent physiological responses is fundamental to plant survival. Reactive oxygen, nitrogen, and sulfur species (ROS/RNS/RSS) are now recognized as essential signaling molecules, not merely cytotoxic byproducts. Their specificity is largely achieved through reversible, site-specific cysteine oxidative post-translational modifications (Cys-OxiPTMs), which constitute a dynamic and sophisticated "redox code". This review provides a systematic synthesis of the current landscape of Cys-OxiPTMs in plants, bridging chemistry, hormone biology, agronomy, detection, and engineering. The chemical and enzymatic basis of major Cys-OxiPTMs is detailed, along with a discussion of how their spatiotemporal interplay orchestrates signaling specificity. A critical examination is then presented on how these modifications decode and integrate plant hormone signaling networks to regulate key agronomic traits. Cutting-edge proteomic technologies that have revolutionized the identification of redox-sensitive cysteines are also evaluated. Finally, forward-looking strategies to "write" the redox code are explored. By moving the field from descriptive cataloging to predictive "redox breeding", this review establishes a foundational framework for manipulating Cys-OxiPTMs to develop climate-resilient, high-yielding crops for sustainable agriculture.

Agronomic traits↗

PubMed2026

Transcriptome Analysis Reveals Key Drought-Stress-Responsive Genes in Two Bermudagrass Genotypes.

Drought inhibits grass development and survival. However, molecular-based studies on drought tolerance mechanisms in bermudagrass (Cynodon dactylon) remain scarce. Therefore, a drought-resistant bermudagrass (Tianshui) and a drought-sensitive (Zhengzhou) genotype were selected and subjected to 28 days of 50% drought stress. Leaves were sampled for RNA sequencing. Under drought stress, 2410 differentially expressed genes (DEGs) were discovered in which 1214 were upregulated (tolerant vs. sensitive) and 1196 downregulated. Kyoto Encyclopedia of Genes and Genomes (KEGG) indicated that these specific DEGs are notably present in hormonal signal transduction pathways, flavonoids biogenesis, carbohydrate metabolic processes, abscisic acid-mediated pathways, MAPK signaling, and gluconeogenesis. Additionally, the plant hormone signal transduction pathway is predominantly linked to abscisic acid signal transduction, and many other plant hormones were also drought-responsive. The study specifically targeted genes associated with the antioxidant enzyme system, with a particular emphasis on responsive TFs such as MYB, bHLH, bZIP, GRAS, and WRKY. This study establishes the theoretical framework and identifies gene sources for the genetic enhancement and breeding of bermudagrass in the future.

Cynodon↗

PubMed2026

Systematic identification pepper CaE2F transcription factor reveals the role of CaDPb in drought stress response.

The EARLY 2 FACTOR (E2F) transcription factor (TF) family plays a pivotal role in regulating plant development and adaptations to environmental stresses. However, the physiological function of E2Fs in pepper (Capsicum annuum L.) are not well elucidated. In this work, we conduct a comprehensive genome-wide annotation of the E2F family within the Zunla-1 pepper genome and further explore the biological roles of CaDPb in response to drought stress. Through systematic bioinformatics analysis, we identify a total of nine CaE2F genes within the Zunla-1 genome, categorizing them into three distinct subgroups. Additionally, we discover multiple cis-regulatory elements in the CaE2F promoter regions associated with responses to plant hormones and drought stress. Public RNA-seq datasets reveal distinct expression profiles of CaE2F genes across various pepper tissues and their responses to environmental stimuli and plant hormones. Subsequently, the CaDPb gene is further functionally verified in drought response. Our findings indicate that TRV2:CaDPb silenced pepper plants are more sensitivity to drought. Furthermore, we show that CaDPb participates in the regulation of reactive oxygen species (ROS) production, the expression of drought-responsive genes, and the modulation of stomatal aperture. Taken together, our findings provide a comprehensive characterization of E2F genes in pepper and offer insights into the biological function of CaDPb in pepper drought stress response.

Capsicum↗