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Not Forgotten: Patient Experiences with Genetic Variant Reclassifications.

PURPOSE: Genetic variant reclassification is increasingly common in clinical genomics, yet limited data describe how patients experience re-contact and variant reclassification in routine clinical care. METHODS: We conducted semi-structured qualitative interviews with 20 adult patients who received a variant reclassification following routine clinical genetic testing. Interviews explored emotional responses, communication experiences, and perceived value of genetic testing. Data were analyzed using Template Analysis, a form of thematic analysis. RESULTS: Three overarching themes were identified. Participants identified a need for improved communication of reclassified results, particularly with respect to timing, modality, and contextualization (Theme 1). Experiences with reclassification also shaped perceptions of the value of genetic testing, with most participants viewing testing as worthwhile despite its evolving nature (Theme 2). Finally, many participants interpreted reclassification as evidence of personalized and ongoing care, reinforcing trust in genetic testing and biomedical research (Theme 3). Participants generally preferred to be informed of reclassified results regardless of reclassification type, although the direction of reclassification influenced emotional responses and preferred modes of communication. Downgrades from variants of uncertain significance to benign or likely benign were widely viewed as meaningful by participants. CONCLUSION: Variant reclassification was experienced as a signal of personalized, ongoing care. Timely, contextualized, patient-centered re-contact practices may reduce uncertainty, strengthen trust, and help patients not feel forgotten.

Journal Article

Impact of laboratory-driven proactive reanalysis: Reclassification to positive in 5% of initially negative or uncertain exome sequencing cases.

PURPOSE: Reanalysis of exome sequencing (ES) data increases diagnostic utility; however, there is no consensus on when and under what circumstances reanalysis should occur. Requesting and performing ES reanalysis burdens both clinical and laboratory workflows. Maximizing the potential for reclassification is essential. Here, we describe the impact of a laboratory-driven proactive reanalysis process that triggers reanalysis when new evidence is identified. METHODS: We reviewed reanalysis outcomes of an ES cohort. Reanalysis events were categorized based on initiating factors (laboratory-driven proactive, family studies, and clinician-initiated). Laboratory-driven proactive reclassifications are prompted by systematic review of new scientific data. Outcomes were evaluated by initiating factors, reclassification types, evidence used, and time since original report. RESULTS: Overall, 23% of cases underwent at least 1 reanalysis, with 35% of reanalyses resulting in reclassification. There was a 4% increase in diagnostic yield, including 5% of initially unsolved ES receiving diagnostic reports. Diagnostic reclassifications rates were significantly higher for laboratory-driven proactive reanalyses (54%; P < .0001) than family studies (18%) and clinician-initiated reanalyses (4%). New gene-disease relationships were the most efficacious evidence source. Laboratory-driven proactive reclassifications occurred steadily over time. CONCLUSION: Laboratory-driven proactive reanalysis effectively provides more diagnostic reclassifications compared with clinician-initiated reanalysis. Laboratories should curate and integrate emerging evidence into ES reanalysis.

Humans

Imprecision medicine: Systematic gaps in reporting variants of uncertain significance (VUS) and their reclassifications.

PURPOSE: Variants of uncertain significance (VUS) are frequently encountered during clinical genetic testing. To explore the clinical burden of VUS, we developed the Brotman Baty Institute Clinical Variant Database, which is an electronic health record (EHR)-linked database of clinical germline genetic variant information from patients with rare genetic disorders seen at 2 tertiary academic medical centers. METHODS: We retrospectively reviewed EHRs and genetic testing reports from 5158 patients seen across diverse adult genetics practices at these institutions from 2015 to 2024. We also compared these EHR-based variant classifications with those in ClinVar. RESULTS: The number of reported VUS relative to pathogenic or likely pathogenic variants can vary by over 14-fold depending on the primary indication for genetic testing and 3-fold depending on self-reported race. Furthermore, at least 1.6% of variant classifications used in the EHR for clinical care are outdated based on ClinVar variant classifications, including 26 instances in which the testing lab updated ClinVar, but the reclassification was never communicated to the patient. CONCLUSION: Our findings reveal that the clinical burden of VUS in adult medical genetics is unequally distributed across patients. We also highlight a deficiency in existing systems for communicating variant reclassifications to ClinVar, patients, and providers.

Humans

Pseudaquabacterium prasiolae sp. nov., Isolated from the Freshwater Green Alga Prasiola japonica, and Rubrivivax soli sp. nov., Isolated from Soil, with Reclassification of Aquabacterium humicola as Pseudaquabacterium humicola comb. nov.

Two Gram-stain-negative, catalase- and oxidase-positive, strictly aerobic, non-flagellated rod-shaped bacteria, designated OR-4T and RP6-9T, were isolated from the freshwater green alga Prasiola japonica and soil in Republic of Korea, respectively. Strain OR-4T exhibited gliding motility, whereas strain RP6-9T lacked gliding motility. Strain OR-4T grew at 10-30&#xa0;&#xb0;C, pH 6.0-9.0, and 0-1.5% (w/v) NaCl, while strain RP6-9T grew at 20-35&#xa0;&#xb0;C, pH 6.0-9.0, and 0-1.0% (w/v) NaCl. Both strains contained ubiquinone-8 as the sole respiratory quinone and phosphatidylethanolamine, phosphatidylglycerol, and diphosphatidylglycerol as major polar lipids; strain OR-4T additionally possessed an unidentified phospholipid and an unidentified polar lipid. The predominant fatty acids of OR-4T were C12:0, C16:0, summed feature 3 (C16:1&#x3c9;6c and/or C16:1&#x3c9;7c), and summed feature 8 (C18:1&#x3c9;7c and/or C18:1&#x3c9;6c), whereas RP6-9T contained C12:0, C16:0, and summed feature 3 as major components. The genomic DNA G&#x2009;+&#x2009;C content of both strains was 71.0&#xa0;mol%. Whole-genome-based phylogenomic analyses placed OR-4T and RP6-9T within the genera Pseudaquabacterium and Rubrivivax, respectively, forming distinct lineages. Comparative analyses of average nucleotide identity, digital DNA-DNA hybridization, and average amino acid identity further supported their assignment to these genera while confirming their separation from previously described species. Based on combined phenotypic, chemotaxonomic, and genomic evidence, strains OR-4T and RP6-9T represent novel species, for which the names Pseudaquabacterium prasiolae sp. nov. (type strain OR-4T =KACC 22752T =NBRC 116024T) and Rubrivivax soli sp. nov. (type strain RP6-9T =KACC 24055T =DSM 119932T) are proposed. Phylogenomic analyses also support the reclassification of Aquabacterium humicola as Pseudaquabacterium humicola comb. nov. (type strain RJY3T =KCTC 92105T =NBRC 115831T).

Phylogeny

Whole genome-based reclassification of the genus Metabacillus: Proposal for five novel genera, Chryseobacillus gen. nov., Cohnibacillus gen. nov., Salimetabacillus gen. nov., Pantoeobacillus gen. nov., and Lutimetabacillus gen. nov. and the description of one novel bacterial species, Chryseobacillus diguaensis sp. nov. isolated from soil in the Digua reservoir.

Comprehensive phylogenomic and comparative genomic analyses were conducted to clarify the taxonomic boundaries of the genus Metabacillus. Phylogenetic trees reconstructed from a set of single-copy orthologous proteins (SCOPs) revealed that the genus, as currently defined, is polyphyletic. The type species of the genus Metabacillus and its closest relatives formed a consistent clade, herein designated as Metabacillus sensu stricto. The remaining species were grouped into three well-supported clades: Kandeliae, Indicus, and Mangrovi, and two single-taxon lineages: M. arenae and M. lacus. The phylogenomic delineation found in these divergent taxa was corroborated by either inconsistent distribution patterns or the absence of previously defined conserved signature indels (CSIs) specific to Metabacillus. Genomic metrics, including Average Nucleotide Identity (ANI), Average Amino acid Identity (AAI), and digital DNA-DNA hybridization (dDDH) further supported the taxonomic delineation proposed here. The observed genomic divergence was mirrored by phenotypic differences, including variations in GC content ranges. Based on this polyphasic evidence, we propose the reclassification of the genus Metabacillus taxa into five novel genera: Chryseobacillus gen. nov. (encompassing the Kandeliae clade), Cohnibacillus gen. nov. (M. lacus), Salimetabacillus gen. nov. (M. arenae), Pantoeobacillus gen. nov. (Indicus clade), and Lutimetabacillus gen. nov. (Mangrovi clade). The core lineage is retained as Metabacillus sensu stricto, for which an emended description of the genus Metabacillus is also provided. A novel bacterial strain, designated as MAU-250T, was isolated from a soil sample collected on the shore of an artificial reservoir in the Andean foothills of the Maule Region in central Chile. Public metagenome screening supported a low-abundance taxon with broad ecological adaptability, preferentially associated with soil habitats. A polyphasic analysis based on phenotypic traits and genomic distances (78.0% ANIb and 19.8% dDDH against its closest relative) also supported its designation as a novel species, for which the name Chryseobacillus diguaensis sp. nov. is proposed. The type strain is MAU-250T (=RGM 3146T&#xa0;=&#xa0;IMI 507634T).

Phylogeny

Phylogenomics of Desulfuromonadia supports reclassification of Geobacter psychrophilus as Irobacter psychrophilus comb. nov. and proposal of Geosyntrophus gen. nov.

Genome-resolved phylogenomics reveals widespread misclassification of metal-reducing bacteria historically assigned to Geobacter based on 16S rRNA gene phylogeny, and highlights species that persist only as 16S rRNA entries without genomes for robust taxonomic resolution. Here, we resolve two such lineages by integrating whole-genome phylogeny with average amino acid identity (AAI) and percentage of conserved proteins (POCP) across 418 dereplicated genomes of Desulfuromonadia. We report a draft genome of the psychrophilic iron-reducing bacterium Geobacter psychrophilus (100% completeness). Phylogenomic analyses place both Geobacter psychrophilus and the GTDB placeholder genus g__JACRCG01 within the family 'Pseudopelobacteraceae', outside Geobacteraceae sensu stricto. Within this framework, G. psychrophilus forms a distinct, well-supported lineage separated from neighbouring genera by discontinuities in AAI and POCP, supporting its reclassification as Irobacter psychrophilus comb. nov. Additionally, we show that Geosyntrophus acetoxidans, a non-axenic syntrophic bacterium, forms a coherent genus with 51 other environmental genomes (placeholder genus g__JACRCG01), for which we propose the replacement name Geosyntrophus gen. nov. Comparative genome analysis revealed conserved family-level metabolic traits together with genus-specific differences in respiratory metabolism, while ANI-based clustering identified substantial species-level diversity within both proposed genera. Metagenome and 16S rRNA-gene survey data further show that Geosyntrophus and Irobacter occur in broadly similar aquatic and subsurface habitats spanning from the Arctic to the Antarctic. Together, these results resolve the taxonomy of two previously ambiguous Desulfuromonadales lineages and shed light on their environmental distribution.

AAI

Phenotypic manifestations and variant reclassification of germline PTEN variants: a nationwide Danish study.

BACKGROUND: Classification of heterozygous germline PTEN variants in patients with, or suspected of having, PTEN hamartoma tumour syndrome (PHTS) remains challenging. Accurate classification is essential as these patients require lifelong cancer surveillance. METHODS: We identified all patients with a PTEN variant previously classified as a variant of uncertain significance (VUS), likely pathogenic (LP) or pathogenic (P), collected clinical data and reclassified all variants using the latest PTEN gene-specific American College of Medical Genetics (ACMG) guidelines. Moreover, genotype-phenotype correlations were assessed. RESULTS: 167 patients from 112 families were enrolled. Eighty-seven unique PTEN variants were identified, including 20 novel variants. After applying the PTEN gene-specific ACMG guidelines, 32 variants (36.8%) were reclassified, resulting in 60 PTEN variants classified as LP/P (69.0%), 18 variants classified as VUS (20.7%), while 9 variants were classified as LB/B (10.3%). Genotype-phenotype correlation was performed among 104 patients with LP/P variants: 51 cancer cases were recorded in 41 patients and a distinct PHTS phenotype was observed in 25% of patients, with macrocephaly being present in 99% of patients with a known head circumference. Twenty-three patients had neurodevelopmental delay and/or autism, and we observed an increased prevalence of missense variants in these patients. CONCLUSION: We identified 87 different PTEN variants, and application of PTEN gene-specific ACMG guidelines led to reclassification of 32 variants (36.8%), underscoring the importance of regular variant reassessment using the most recent gene-specific guidelines, ensuring optimal patient management and surveillance.

Genetic Predisposition to Disease

Distinct rates of VUS reclassification are observed when subclassifying VUS by evidence level.

PURPOSE: Genetic testing commonly yields a plethora of variants of uncertain significance (VUS) that can lead to ongoing uncertainty for patients and their caregivers. Although all VUS hold uncertainty, some VUS have more evidence in support of pathogenicity, whereas others have more evidence of a benign role. Sharing these nuances can help guide the investment in follow-up clinical and research investigations and may, at times, influence medical decision making despite appreciated uncertainty. METHODS: Four clinical laboratories have been subclassifying VUS to help prioritize investigation and guide reporting decisions. Each laboratory developed a distinct approach for how these subclasses are used in their laboratories and, in some cases, displayed on reports. We examined the composition of each laboratory's VUS subclasses and the likelihood variants from each subclass were reclassified toward pathogenic or benign. RESULTS: We found that variants in the lowest subclass of VUS were never reclassified as likely pathogenic or pathogenic, whereas those in the highest subclass were much more likely to be reclassified as pathogenic or likely pathogenic. CONCLUSION: Given that forthcoming professional guidance in variant classification will advise the use of VUS subclasses, the experience of our laboratories in using VUS subclasses can inform future practices.

Humans

Clinical and genetic variant re-analysis among pediatric probands undergoing genetic testing for arrhythmia syndromes.

BACKGROUND: Despite increases in genetic testing, longitudinal data regarding changes in diagnostic yield and variant reclassification for inherited arrhythmia syndromes are limited. OBJECTIVE: Determine longitudinal changes in diagnostic yield and variant classification. METHODS: Single-center retrospective study of probands <18 years undergoing genetic testing for suspected inherited cardiac conditions associated with arrhythmias, 2007 to 2018. Variants were classified as diagnostic (pathogenic/likely pathogenic), non-diagnostic (benign/likely benign [B/LB]), or variants of uncertain significance (VUS). Variant reclassification was performed in October 2023 using VarSome and American College of Medical Genetics criteria. We evaluated results by era (early 2007-2013 vs. later 2014-2018, coinciding with Sanger and next-generation sequencing, respectively) and by likelihood of disease based on clinical evaluation. RESULTS: Of 306 probands, initial testing was 23.2% diagnostic, 55.6% non-diagnostic (33.7% no variant, 21.9% B/LB), and 21.2% VUS. When comparing eras, diagnostic yield decreased (34.1%-15.3%), VUS increased (9.3%-29.9%), and non-diagnostic remained similar (55% to 57%). Variants for 22.7% (46/203) of probands with &#x2265;1 variant changed: 9.9% of diagnostic variants (7/71) downgraded to VUS or non-diagnostic, and 60.0% of VUS changed (23.1% upgraded, 36.9% downgraded). B/LB variants did not change. Probands with higher disease likelihood had 6-times the odds of diagnostic results compared to lower disease likelihood, regardless of era (odds ratio 6.3, 95% confidence interval 3.2-12.4, P < .0001). CONCLUSION: Variant reclassification led to changes in 23% of probands, both downgrading and upgrading status, even among probands initially thought to be pathogenic. When comparing later to earlier eras, VUS variants increased while diagnostic yield decreased. Findings support the need for variant re-interpretation and periodic reclassification over time.

Humans

Ten years of exome sequencing and reanalysis among racial, ethnic, and ancestral groups: The importance of equitable reanalysis access.

PURPOSE: Race, ethnicity, and ancestry (REA) affect the diagnostic utility of genetic testing. In addition to barriers to accessing genetics services, some non-European REA groups experience decreased diagnostic results and increased uncertain results. Exome sequencing (ES) is a unique genetic test because data can be reanalyzed with new information and variants may be reclassified after the original result. METHODS: We performed a retrospective review of 10,416 clinical ES cases originally analyzed by Ambry Genetics between 2011 and 2021 with reanalysis events through 2023. The relationship between assigned REA group, ES result, reanalysis and reclassification rates, and reanalysis initiators were analyzed with logistic regression. RESULTS: Reanalyses increased the total diagnostic yield from 21.4% to 25.5%. There were no significant differences in reclassification rate among REA groups. However, the African American and Black group (P = 2.8E-07), the Hispanic and Latino group (P = .0022), and the Asian group (P = .033) were significantly less likely to receive provider-initiated reanalysis compared with the White group. CONCLUSION: Although reclassification rates were not found to be associated with REA group, not all REA groups had the same access to ES reanalysis. Laboratory-initiated proactive reanalysis can help reduce disparities in ES diagnostic utility by reducing barriers to accessing reanalysis.

Female

Contributions of Common, Rare, and Somatic Genetic Variants to Incidence of Atrial Fibrillation.

IMPORTANCE: Atrial fibrillation (AF) has a complex genetic architecture involving common, rare, and somatic variants. The association between these components requires further investigation. OBJECTIVE: To examine the individual and combined contributions of polygenic, monogenic, and somatic genetic variants to AF incidence, and develop an integrated genomic model (IGM-AF) for improved risk prediction. DESIGN, SETTING, AND PARTICIPANTS: This cohort study used whole-genome sequence data from participants of the UK Biobank, with follow-up for AF events through hospital records, death registries, and self-report. The UK Biobank recruited participants aged 40 to 69 years in the UK between 2006 and 2010. Study data were analyzed from August 2022 to November 2024. EXPOSURES: IGM-AF comprising an AF polygenic risk score (PRS), a composite rare variant gene set (AFgeneset), and somatic variants associated with clonal hematopoiesis of indeterminate potential (CHIP). Clinical AF risk was estimated using the Cohorts for Heart and Aging Research in Genomic Epidemiology AF (CHARGE-AF) score. MAIN OUTCOMES AND MEASURES: The primary outcome was hazard ratios (HRs) for 5-year incident AF attributable to PRS, AFgeneset, CHIP, and their interactions. The predictive performance of IGM-AF and its components was quantified using HRs, C statistics, and reclassification indices. RESULTS: A total of 416&#x202f;085 individuals (mean [SD] age, 56.6 [8.0] years; 224&#x202f;642 female [54.0%]) with 30&#x202f;797 AF cases were included. The PRS (HR per 1 SD, 1.65; 95% CI, 1.63-1.67; P&#x2009;<&#x2009;1&#x2009;&#xd7;&#x2009;10-8), AFgeneset (HR, 1.63; 95% CI, 1.52-1.75; P&#x2009;=&#x2009;1.46&#x2009;&#xd7;&#x2009;10-42), and CHIP (HR, 1.26; 95% CI, 1.15-1.38; P&#x2009;=&#x2009;1.41&#x2009;&#xd7;&#x2009;10-6) were associated with incident AF. The 5-year cumulative incidence of AF was at least 2-fold among individuals having all 3 genetic drivers (common, rare, and somatic drivers) compared with those with only 1 driver. Integration of IGM-AF with a clinical risk model (CHARGE-AF) showed higher predictive performance (C statistic, 0.80; 95% CI, 0.80-0.80) compared with IGM-AF and CHARGE-AF alone. The classification of the at-risk population for AF was improved when IGM-AF was added to CHARGE-AF (net reclassification index, 0.08; 95% CI, 0.07-0.09). CONCLUSIONS AND RELEVANCE: Results of this cohort study demonstrated the complementary value of common, rare, and somatic variants in shaping genomic AF risk. Leveraging comprehensive genetic information may enhance screening and preventive interventions for AF.

Humans

Extracting and calibrating evidence of variant pathogenicity from population biobank data.

Genomic medicine requires a robust evidence base of variant phenotypic impacts, which remains incomplete even in extensively studied genes with monogenic disease associations. Here, we evaluated the broad potential of using population cohort data to identify evidence that can be used in variant assessment. Across 41 genes related to 18 clinically actionable monogenic phenotypes, we calculated variant-level odds ratios of disease enrichment using data from 469,803 UK Biobank participants. We found significant differences in odds ratio values between ClinVar-labeled pathogenic and benign variants in 11 phenotypes, spanning both common and rare disorders. To facilitate clinical translation, we calibrated the strength of evidence provided by variant-level odds ratios to align with American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP) interpretation guidelines (PS4 criterion) and found that odds ratios may reach "moderate," "strong," or "very strong" evidence, varying by phenotype and gene. Overall, we found that 2.6% (N = 12,350) of participants harbor a rare variant of uncertain significance (VUS) with at least moderate evidence of pathogenicity-an indication of potentially unrecognized disease risk. Finally, by incorporating computational and functional data alongside population-based odds ratios, we identified variants that met the criteria for clinical reclassification. Notably, using this approach, we identified that 12.4% of rare VUSs in LDLR seen in participants meet diagnostic criteria to be classified as likely pathogenic, demonstrating its potential to scale the reclassification of VUSs.

Humans

Cardiac Troponins and Cardiovascular Disease Risk Prediction: An Individual-Participant-Data Meta-Analysis.

BACKGROUND: The extent to which high-sensitivity cardiac troponin can predict cardiovascular disease (CVD) is uncertain. OBJECTIVES: We aimed to quantify the potential advantage of adding information on cardiac troponins to conventional risk factors in the prevention of CVD. METHODS: We meta-analyzed individual-participant data from 15 cohorts, comprising 62,150 participants without prior CVD. We calculated HRs, measures of risk discrimination, and reclassification after adding cardiac troponin T (cTnT) or I (cTnI) to conventional risk factors. The primary outcome was first-onset CVD (ie, coronary heart disease or stroke). We then modeled the implications of initiating statin therapy using incidence rates from 2.1 million individuals from the United Kingdom. RESULTS: Among participants with cTnT or cTnI measurements, 8,133 and 3,749 incident CVD events occurred during a median follow-up of 11.8 and 9.8 years, respectively. HRs for CVD per 1-SD higher concentration were 1.31 (95%&#xa0;CI: 1.25-1.37) for cTnT and 1.26 (95%&#xa0;CI: 1.19-1.33) for cTnI. Addition of cTnT or cTnI to conventional risk factors was associated with C-index increases of 0.015 (95%&#xa0;CI: 0.012-0.018) and 0.012 (95%&#xa0;CI: 0.009-0.015) and continuous net reclassification improvements of 6% and 5% in cases and 22% and 17% in noncases. One additional CVD event would be prevented for every 408 and 473 individuals screened based on statin therapy in those whose CVD risk is reclassified from intermediate to high risk after cTnT or cTnI measurement, respectively. CONCLUSIONS: Measurement of cardiac troponin results in a modest improvement in the prediction of first-onset CVD that may translate into population health benefits if used at scale.

Humans

Association of time-averaged systemic immune-inflammation indices with in-hospital mortality after intracerebral hemorrhage: a retrospective study.

BACKGROUND: Systemic inflammation plays a central role in secondary brain injury following intracerebral hemorrhage (ICH). Although inflammatory indices such as the neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI) are linked to poor outcomes, their associations with mortality are commonly assumed to be linear, potentially overlooking nonlinear patterns where mortality risk rises steeply at higher levels. METHODS: We conducted a retrospective study using the MIMIC-IV database, including 440 patients with non-traumatic ICH who were alive and remained in the ICU for at least 72&#xa0;h after admission. Mean NLR, SII, and SIRI were calculated from measurements obtained during this period. Multivariable logistic regression and restricted cubic spline (RCS) analyses were applied to assess their independent and nonlinear associations with in-hospital mortality. Model discrimination and calibration were internally validated using 1,000 bootstrap resamples. RESULTS: The in-hospital mortality rate was 26.1%. After multivariable adjustment, NLR and SIRI remained independently associated with mortality. Patients in the highest SIRI quartile had the highest risk of death (aOR&#xa0;=&#xa0;5.12; 95% CI: 2.57-12.24; p&#xa0;<&#xa0;0.001). RCS analysis revealed a significant nonlinear association between SIRI and mortality (p-nonlinearity&#xa0;<&#xa0;0.05), showing a steep risk increase at higher SIRI levels. Adding SIRI to the base model provided a modest improvement in discrimination (AUC 0.762 to 0.785, p&#xa0;=&#xa0;0.045) and significantly improved risk reclassification (cNRI&#xa0;=&#xa0;0.4778, p&#xa0;<&#xa0;0.001; IDI&#xa0;=&#xa0;0.0240, p&#xa0;=&#xa0;0.0151). CONCLUSIONS: Among patients with ICH who met the 72-hour eligibility criterion, higher 72-hour average SIRI was independently associated with in-hospital mortality. As a time-averaged measure, SIRI should be interpreted as a dynamic marker integrating the initial inflammatory state and the early clinical course rather than as a purely baseline prognostic factor. Although adding SIRI to the base model modestly improved discrimination and risk reclassification, it should be considered a candidate prognostic marker requiring external validation before clinical application.

Humans

Clinical Utility of Next-Generation Sequencing in Tumors Diagnosed as Lung Squamous Cell Carcinoma: Real-World Data of Diagnostic and Therapeutic Implications.

Lung squamous cell carcinoma (LUSC) is the second most common subtype of non-small cell lung carcinoma (NSCLC), typically associated with a poor prognosis. Unlike lung adenocarcinoma, the application of next-generation sequencing (NGS) in LUSC has lagged because of the long-standing perception of low therapeutic yield, primarily based on highly selected, resected cohorts. We sought to determine the real-world clinical utility of NGS in LUSC. We analyzed an institutional cohort of 576 tumors initially diagnosed as LUSC that underwent NGS profiling. We defined "clinical yield" as either diagnostic reclassification or the identification of a targetable mitogenic alteration. Twenty cases (3.5%) were reclassified, including rediagnosis to cutaneous squamous cell carcinoma, transformed adenocarcinoma (post targeted therapy), and rare entities such as nuclear protein of the testis-rearranged carcinoma and lymphoepithelial carcinoma. Primary mitogenic drivers were identified in 83 cases (14.4% of the total cohort), of which 43 (7.5% of the total cohort) harbored alterations with currently Food and Drug Administration-approved therapies for NSCLC (including KRAS, EGFR, MET, ALK, and ROS1). Overall clinical yield-defined as the sum of diagnostic reclassifications and identification of NSCLC-specific targetable alterations-was 11.0% (63/576). Univariate and multivariate analysis demonstrated that never or light smoking history was the strongest independent predictor of clinical yield, with 57.3% of tumors in this subset being reclassified or harboring a strong driver. Our findings demonstrate that NGS provides significant diagnostic and therapeutic value in a real-world LUSC cohort, challenging the historical premise of low yield. Although clinicodemographic features can help prioritize testing in resource-limited settings, the identification of targetable drivers across all smoking groups supports the universal application of comprehensive NGS for all patients diagnosed with LUSC.

Humans

Advances in the diagnosis and classification of B-ALL: comparative insights from updated guidelines.

Accurate molecular classification is essential for diagnosis, risk stratification, and treatment selection in B-cell lymphoblastic leukemia (B-ALL). In this study, we performed a comprehensive, real-world reclassification of 1015 consecutively diagnosed B-ALL patients using the fifth edition of the World Health Organization Classification of Haematolymphoid Tumours (WHO-HAEM5) and the International Consensus Classification (ICC). An integrative genomic strategy that combined whole transcriptome sequencing, fusion detection, mutational analysis, and cytogenetics enabled reclassification according to both the WHO-HAEM5 and ICC frameworks, thereby substantially reducing the proportion of unclassifiable B-ALL from 41.9% (2016 WHO revision [WHO-HAEM4R]) to 15.9% (WHO-HAEM5) and 11.9% (ICC). Distinct clinical and prognostic features were identified across newly defined subtypes. Multivariable analysis confirmed that this genomic classification is a robust, independent predictor of survival after adjusting for age, minimal residual disease status, and transplant intervention. Specifically, HLF-rearranged and MEF2D-rearranged B-ALL conferred a persistently poor prognosis across all age groups despite allogeneic hematopoietic stem cell transplantation, highlighting an urgent need for novel therapeutic strategies. Gene expression profiling resolved cryptic subtypes, including ETV6::RUNX1-like, ZNF384-rearranged-like, and BCR::ABL1-like B-ALL, and uncovered diagnostic ambiguity in patients with concurrent lesions. In addition, we report emerging high-risk groups, including IDH1/2- and ZEB2 Q1072-mutated B-ALL, that may warrant recognition as distinct molecular entities. Our findings demonstrate the clinical use of integrative transcriptomic profiling in refining B-ALL taxonomy in guiding risk-adapted therapies and informing future revisions of diagnostic standards. This study supports the incorporation of high-throughput molecular diagnostics into routine leukemia classification and precision treatment planning.

Humans

Longitudinal variability of lipoprotein(a) in youth-onset type 1 diabetes: implications for cardiovascular risk stratification.

BACKGROUND: Lipoprotein(a) [Lp(a)] is a genetically determined and independent cardiovascular risk factor, traditionally considered stable across the lifespan, supporting a single lifetime measurement strategy. However, its longitudinal behaviour during childhood and adolescence remains poorly characterised, particularly in individuals with type 1 diabetes who face a markedly increased lifetime risk of coronary artery disease. We therefore aimed to characterise intra- and inter-individual trajectories of Lp(a) in a paediatric type 1 diabetes cohort and to assess the implications of Lp(a) variability for cardiovascular risk classification. METHODS: We conducted a retrospective single-centre cohort study of children and adolescents with type 1 diabetes attending Geneva University Hospitals between 2012 and 2023. Annual fasting Lp(a) concentrations were analysed longitudinally. Variability was assessed in participants with&#x2009;&#x2265;&#x2009;2 measurements. Clinically relevant thresholds were used to evaluate cardiovascular risk reclassification. Paired Wilcoxon tests, Pearson and Kendall correlations, and Holm-adjusted p-values (P&#x2009;<&#x2009;0.05) were applied. Analyses were conducted in R. RESULTS: A total of 286 participants contributed 1403 Lp(a) measurements, with observation periods varying across individuals (median 6.2&#xa0;years, IQR 2.9-9.6) and between 1 and 13 measurements per participant. At baseline, 26% had elevated Lp(a) (&#x2265;&#x2009;300&#xa0;mg/l). Among participants with serial measurements, 32% showed intraindividual fluctuations exceeding 50% of their individual maximum value. Reclassification across the 300&#xa0;mg/l cardiovascular risk threshold occurred in 11.9% of participants. Lp(a) concentrations peaked between ages 10 and 13&#xa0;years and declined thereafter. Modest seasonal variation was observed, with higher concentrations in autumn and winter (P&#x2009;<&#x2009;0.05). CONCLUSIONS: In youth with type 1 diabetes, Lp(a) is not as stable as previously assumed, exhibiting clinically relevant variability over time. These findings challenge the current paradigm of a single lifetime Lp(a) measurement and suggest that repeated assessment, particularly during adolescence, may improve early cardiovascular risk stratification.

Humans