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PubMed2025

Comparative genomic analysis of Acer tsinglingense and A. davidii provides insights into nervonic acid biosynthesis, population evolution and genome vulnerability of endangered A. tsinglingense.

Global biodiversity is facing threats from climate change, habitat fragmentation, and anthropogenic activities-pressures that particularly endanger endemic and narrowly distributed species. In this study, the high-quality chromosome-level genomes of two ecologically divergent maples were assembled: the endangered and range-restricted Acer tsinglingense (791.40 Mb) and its widespread congener Acer davidii (1291.99 Mb). Phylogenomic analysis indicates that the two species diverged ~16.3 million years ago, with A. tsinglingense showing notable gene family expansions in secondary metabolite pathways. Notably, the 3-ketoacyl-CoA synthase gene family, which is involved in nervonic acid biosynthesis, underwent significant expansion and tandem duplication in A. tsinglingense, exhibiting high expression in buds. Population genomic analysis revealed that, compared with the widely distributed A. davidii, A. tsinglingense possesses lower genetic diversity, higher harmful mutation load, and signatures of a severe population bottleneck during the Late Pleistocene. Genome-environment association analysis further identified climate-adaptive genomic variations linked to five key environmental factors and projected potential genomic offsets under future climate scenarios. The southern lineage of A. tsinglingense exhibited greater climate sensitivity and genomic vulnerability under strong selective pressures, underscoring its importance as a conservation priority. Our research reveals that metabolic specializations in A. tsinglingense (such as the synthesis of nervonic acid) may confer competitive advantages in specific habitats. However, factors including its restricted distribution, historical population bottlenecks, and accumulated genetic load severely constrain its evolutionary potential to cope with rapid climate change. These findings emphasize the importance of elucidating the genomic basis and mechanisms of endangerment in metabolically specialized and threatened plant species to inform effective conservation strategies.

Genome, Plant↗

PubMed2025

Harnessing Landscape Genomics to Evaluate Genomic Vulnerability and Future Climate Resilience in an East Asia Perennial.

In this era of rapid climate change, understanding the adaptive potential of organisms is imperative for buffering biodiversity loss. Genomic forecasting provides invaluable insights into population vulnerability and adaptive potential under diverse climatic conditions, thereby facilitating management interventions and bolstering shaping species-specific germplasm conservation strategies. We primarily employed landscape genomics approaches, leveraging single-nucleotide polymorphisms obtained through whole-genome resequencing of 201 individuals across 43 Rheum palmatum complex populations, to pinpoint adaptive variation and its significance in the context of future climates, delineate seed zones, and establish guidelines for ex situ germplasm conservation. The species complex exhibited strong signatures of local adaptation and differential genomic vulnerabilities across its distribution range, with eastern lineage populations facing significant maladaptation risks under future climate scenarios. Using diverse datasets of putatively adaptive loci and climate change scenarios, we delineated three distinct seed zones within the species' range, estimated varying sample sizes per zone to capture most adaptive diversity, and predicted shifts in seed zone centroids ranging from 48.3 to 359.3 km from historical distributions to mitigate climate change impacts. Collectively, our findings underscore the importance of integrating genomic and environmental data to forecast the adaptive trajectory of an East Asian perennial under anticipated climate changes, guide seed zone delineation for germplasm conservation and enhance population resilience. These results provide a blueprint for designing targeted conservation strategies and restoration plans in other imperilled species.

Climate Change↗

PubMed2025

Common gardens reveal genomic susceptibility and vulnerability to climate change in Eucalyptus.

Accelerated global climate change and increased species introduction across international scales have raised concerns about the potential for trees to experience maladaptation or lagging adaptation in response to these environmental shifts. However, our knowledge regarding the relationship between the genomic metrics used to predict maladaptation and actual fitness proxies in trees remains limited. Here, we present a population genomic analysis of 295 families from 28 provenances of Eucalyptus pellita, a widely cultivated fast-growing tree species, and conducted two common garden experiments. Genomic susceptibility encompassing individual heterozygosity (H), genomic inbreeding (FROH), and genomic load (inferred from deleterious mutations) exhibited distinct geographic patterns, shedding light on the origin and evolutionary history of E. pellita. The genetic basis of local adaptation was elucidated through genotype-environment associations and genome-wide association studies, including 198 loci associated with climate and 2388 loci regulating different traits. Furthermore, Australian provenances have higher genomic vulnerability under prospective climate alterations than Papua New Guinea and Indonesia provenances. By integrating phenotypic data across two common gardens, the relationship between leaf functional traits and predicted metrics of maladaptation was closer than growth attributes. Notably, pronounced natural selection signals linked to leaf morphogenesis have been identified by comparing two lineages spanning the oceans. This study underscores the immense potential of leveraging genomic susceptibility and genomic vulnerability to decipher the local (mal)adaptation of forest trees.

Eucalyptus↗

PubMed2026

Haplotype Blocks Are Associated With Rapid Local Adaptation to Environmental Shifts in Wild Barley.

Genomic mechanisms of local adaptation must be highly responsive in geographic regions where climate is changing rapidly. The Levant region is a critical biodiversity hotspot and the distribution edge for many species, including the wild ancestor of domesticated barley. This region is under an accelerated desertification process, thus enforcing a rapid genomic response to the projected environmental changes. To elucidate the genomic basis of rapid local adaptation, we studied wild barley populations using an ecological-genetic sampling design that decouples environmental variation from demographic background. We collected and sequenced 300 wild barley individuals and evaluated the phenotypes of 3600 progeny plants over 3 years. Our genomic analyses revealed that local adaptation is associated with clusters of candidate genes forming haplotype blocks. These clusters are enriched with environment and stress responsive genes, including flowering time regulators, drought and heat responsive genes. We identified six candidate adaptive haplotype blocks which span 1-8 Mbp and are distributed across chromosomes 1H, 2H, 4H and 5H, each segregating as two major haplotypes. Additionally, we integrated over 2600 occurrence records into ecological and evolutionary modelling to assess the genomic vulnerability of populations to projected future climates. Our study identifies candidate genomic regions and environmental drivers of local adaptation in wild barley and highlights the advantage of haplotype blocks architecture in orchestrating an efficient response to rapid environmental change. We highlight the ecological factors most strongly associated with the observed evolutionary responses and provide insights and guidelines for biodiversity conservation and implementation of crop wild relatives in breeding.

Hordeum↗

PubMed2026

Monitoring kinetic changes and restriction of influenza A virus RNA species during infection using a Flu-Stranded CRISPR platform.

UNLABELLED: Influenza A virus (IAV) generates three closely related RNA species: viral RNA (vRNA), complementary RNA (cRNA), and messenger RNA (mRNA), whose strand-specific quantification remains limited by sensitivity and quantitative dynamic range, particularly at low RNA abundance. Here, we developed Flu-Stranded CRISPR-Cas12a, a strand-specific detection platform integrating tagged reverse transcription, segment-specific PCR, and Cas12a collateral cleavage to support quantitative analysis of all three RNA species across a broad dynamic range. The assay enables reliable detection down to 102 copies per reaction, extending the lower quantitative boundary relative to both SYBR Green and TaqMan reverse transcription quantitative PCR (RT-qPCR) under matched conditions. Validated in infected cell lines, murine lung tissues, and clinical nasopharyngeal specimens, the platform enabled subtype-discriminating, strand-resolved detection, including samples near or below the quantitative range of SYBR Green RT-qPCR. Using finely resolved infection time-course analyses in NP and NA segments, we identified a reproducible early vRNA decline within the early post-infection phase. This decline was partially attenuated in RIG-I knockout A549 cells, while subsequent vRNA accumulation was enhanced, consistent with a modulatory rather than essential role for RIG-I in early viral RNA dynamics. Subcellular fractionation localized this decline to cytoplasmic incoming genomes. In contrast, importazole-mediated inhibition of nuclear import abolished vRNA recovery without affecting the early decline, indicating that nuclear entry functionally separates early genome reduction from subsequent productive replication. These findings establish Flu-Stranded CRISPR-Cas12a as a strand-resolved framework for monitoring IAV RNA dynamics and reveal an early window of genome vulnerability during cytoplasmic transit that shapes infection outcome. IMPORTANCE: The early fate of incoming influenza virus genomes remains unclear, limiting our understanding of how infection is established or aborted in host cells. We developed Flu-Stranded CRISPR-Cas12a, a strand-specific platform for sensitive and quantitative analysis of influenza viral RNA (vRNA), complementary RNA (cRNA), and messenger RNA (mRNA) across experimental and clinical samples. Using high-resolution time-course analysis, we identified a reproducible early decline in vRNA during the post-entry phase. Our data suggest that this early genome loss arises from multiple processes, with RIG-I acting as a modulatory factor rather than a primary driver. Subcellular fractionation localized this effect to cytoplasmic incoming genomes, whereas importin-β-mediated nuclear entry was required for subsequent vRNA recovery. These findings support a model of an early cytoplasmic phase of genome attrition that is distinct from replication and provide a framework for understanding early influenza RNA kinetics and for guiding strand-resolved diagnostics and antiviral evaluation.

CRISPR-Cas12a↗

PubMed2025

Genome sequencing and population genomics provide insights into the demographic history, genetic load, and local adaptation of an endangered Tertiary relict.

Endangered Tertiary relict trees represent an exceptional evolutionary heritage with small and isolated populations, yet little is known about how demographic history, local adaptation, and genetic load have affected their long-term survival and extinction risk. We performed whole-genome sequencing and population genomic analyses on Ulmus elongata L. K. Fu & C. S. Ding, an endangered Tertiary relict tree endemic to East Asia. By integrating genomes from U. elongata and seven other endangered trees from public databases, we identified rate-decelerated genes across endangered trees and genes under positive selection of U. elongata associated with tissue development, detoxification, and immune response, and signal transduction and regulation mechanisms potentially leading to endangered status. Demographic analyses revealed continuous population decline from the late Miocene to present, especially during the last glacial maximum (LGM) and last 10 000 years. Spearman correlation indicated a strong negative relationship between effective population size and human population density (rpopulation density = -0.90, P < 0.001) as well as cropland use (rcropland use = -0.89, P < 0.001). Genotype-environment association (GEA) analyses identified a set of candidate genes associated with temperature and precipitation, supporting a polygenic adaptation model in U. elongata. Overall, our findings underscore the severe population bottlenecks that have led to the fixation of strongly deleterious mutations and inbreeding, further compromising the adaptive potential and long-term viability of U. elongata. Furthermore, assessments of genomic vulnerability under future climate scenarios revealed higher genetic offsets in northern region of Fujian and Jiangxi populations, suggesting these regions require prioritized conservation efforts due to reduced adaptive capacity.

Endangered Species↗

PubMed2026

Berberine shows potential in mitigating PM2.5-induced breast cancer progression by inducing DNA damage and inhibiting error-prone DNA repair pathways.

Breast cancer remains the most common cancer among women, with 2.3 million new cases reported globally in 2022. Alongside established risk factors such as age, family history, genetics, obesity, smoking, and alcohol, exposure to fine particulate matter (PM2.5) has recently emerged as an environmental contributor. This risk is especially concerning for low- and middle-income countries (LMICs), where both PM2.5 exposure and cancer burden are disproportionately high; however, mechanistic studies from these regions remain limited. To address this gap and develop mitigation strategies, we investigated the oncogenic potential of water-soluble PM2.5 collected from ambient air on breast cancer and evaluated the potential role of nutraceuticals in mitigating these effects. PM2.5 exposure increased proliferation, migration, and ROS generation, while promoting the formation of multinucleated giant cells, leading to genomic instability. Berberine, a natural alkaloid, countered these effects by increasing DNA damage and exploiting tumor-specific genomic vulnerabilities through disruption of DNA damage response and repair networks, thereby promoting programmed cell death. Transcriptomic profiling of Delhi PM2.5-treated MCF7 cells revealed a Delhi PM2.5-associated carcinogenic gene signature enriched in MAPK signalling, reactive oxygen species, metabolic, lysosomal, and ribosomal pathways. We also found that several genes, including BIRC5, WSB1, and RCC1, within this PM2.5-induced gene signature were dysregulated in breast cancer patients and were inversely regulated by berberine treatment, suggesting that berberine counteracts the transcriptional effects of PM2.5. Our findings highlight ambient PM2.5 exposure as a driver of breast cancer progression and identify berberine as a promising candidate in mitigating PM2.5 effects; however, thorough preclinical and clinical validations are warranted.

Berberine↗

PubMed1992

A model for predicting the risk of cancer consequent to retroviral gene therapy.

Theoretical estimates of the risk of cancer resulting from accidental insertion of retroviral gene therapy vectors into oncogenically vulnerable genomic sites may prove an important supplement to experimentally derived data in estimating risk/benefit ratios for future gene therapy trials. We have approached risk assessment by considering either a single vector insertion event or a single natural mutation to be potentially oncogenic, should either occur in a cell that would otherwise end with one less than the total number of mutations required for frank neoplasia. Estimates of the relative probabilities of these two phenomena yield a relative risk assessment, which in conjunction with epidemiologic data on natural cancer frequencies can be converted into an assessment of absolute risk. This approach yields an estimated range of relative risk over 10 years of about 1.00000026 to 25 for cells bearing single copies of inserted vectors; the upper limit is higher for multiple copies. These estimates, if accurate, imply that small experimental human or animal gene therapy cohorts will rarely, if ever, manifest vector-related cancers and that more precise future risk assessments will require additional data on natural and vector-induced mutation rates.

Animals↗

PubMed2026

SARS-CoV-2-related immune dysregulation and biologically plausible pathways to lymphomagenesis: a PRISMA-ScR-based scoping review.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-related immune dysregulation has generated interest in diagnostic pathology because infection-related inflammation, long coronavirus disease (COVID)-related immune disturbance, and post-vaccination lymphoid reactions may overlap with lymphoid-biological mechanisms and complicate the distinction between reactive lymphoid proliferations and lymphoid neoplasia. AIM: This scoping review aimed to map biologically plausible pathways through which SARS-CoV-2-associated immune perturbation may intersect with lymphomagenesis-related mechanisms, emphasizing diagnostic implications rather than causality. MATERIALS AND METHODS: This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). PubMed∕MEDLINE, Scopus, and Web of Science were searched from January 2020 to March 2026, with selected pre-2020 sources retained for mechanistic or diagnostic relevance. Sources were charted across mechanistic, immunological, virological, clinicopathological, and diagnostic domains. RESULTS: After screening and eligibility assessment, 63 sources were retained for thematic synthesis. Evidence clustered around lymphoma-relevant but non-specific mechanisms, including inflammatory signaling, impaired immune surveillance, latent oncogenic viral reactivation, prolonged germinal-center activity with activation-induced cytidine deaminase (AID)-related genomic vulnerability, and lymphoid microenvironment remodeling. These mechanisms appear most relevant in predisposed hosts with chronic immune dysregulation, latent viral infection, defective deoxyribonucleic acid (DNA) repair, or occult abnormal lymphoid clones. Infection and vaccination are distinct contexts, because infection may produce broader immune disruption, whereas most post-vaccination nodal events are reactive and self-limited. CONCLUSIONS: Current evidence supports biological plausibility rather than a direct or generalizable causal relationship. The main diagnostic implication is careful clinicopathological correlation and distinction between reactive lymphoid proliferations and lymphoid neoplasia in post-COVID-19 and post-vaccination settings.

Humans↗

PubMed1988

Nonrandom chromosome alterations in human malignant mesothelioma.

Malignant mesothelioma (MM) is a neoplasm closely associated with asbestos exposure, which has been implicated in 70-80% of the cases. In this study, nine MM (two fresh surgical specimens, two permanent cell lines, and five xenografts in nude mice) were examined cytogenetically. Six patients had a known history of asbestos exposure. Seven MM were chromosomally abnormal, the majority having complex structural alterations affecting different chromosomes, whereas two fresh surgical specimens had a normal chromosome constitution. Alterations of chromosome 3 were detected in seven cases and changes involving chromosomes 1 and 7 were observed in six cases. The breakpoints of translocations and deletions on chromosome 1 involved several bands; however, 50% of the breakpoints were near the locations of Blym, L-myc, and ski protooncogenes. Forty % of the breaks on chromosome 7 involved bands q11.1-11.2 and 20% were at q22, the location of the met protooncogene. Nonrandom changes on chromosome 3 were interstitial or terminal deletions, and translocations involving the region p14-21. The deleted 3p segment was identifiable as part of a chromosome translocation in one MM and was apparently lost in the other six. The deletions involving 3p are either spontaneous or asbestos-induced lesions at vulnerable genomic sites and are the most common and nonrandom chromosome alterations observed. Possibly 3p abnormalities are causally related to the development of this malignancy.

Adult↗

PubMed2026

Cohesin cofactor dosage sets the rate of loop extrusion, rendering genome folding tunable yet vulnerable to genetic disruption.

Genome folding is not static but emerges from dynamic processes that control transcription, replication, recombination, and repair. DNA loop extrusion by cohesin is central to genome organization, yet it remains unclear how cells can tune extrusion kinetics to achieve precise and functional chromosome folding patterns. Here, we show that extrusion rate acts as a tunable biophysical parameter in cells, quantitatively dialed by the respective dosage of the cohesin cofactors NIPBL and PDS5. Modulation of extrusion rate can offset changes in cohesin lifetime to buffer steady-state chromosome structure and transcriptional states, even in the face of abnormal extrusion dynamics. These findings provide a long-sought mechanistic basis for the genetic interactions between cohesin cofactors and for the molecular origin of haploinsufficiency in cohesinopathies, such as Cornelia de Lange syndrome.

Cell Cycle Proteins↗

PubMed2025

Dosage sensitivity of the loop extrusion rate confers tunability to genome folding while creating vulnerability to genetic disruption.

Genome folding is not static, but emerges from dynamic processes that control transcription, replication, recombination, and repair. DNA loop extrusion by cohesin is central to genome organization, yet it remains unclear how cells can tune extrusion kinetics to achieve precise and functional chromosome folding patterns. Here we discover extrusion rate acts as a tunable biophysical parameter in cells, quantitatively dialed by the respective dosage of the cohesin cofactors NIPBL and PDS5. Modulation of extrusion rate can offset changes in cohesin lifetime to buffer steady-state chromosome structure and transcriptional states, even in the face of abnormal extrusion dynamics. These findings provide a long-sought mechanistic basis for the genetic interactions between cohesin cofactors and the molecular origin of haploinsufficiency in cohesinopathies, such as Cornelia de Lange syndrome.

Journal Article↗

PubMed2026

Mapping cell-type- and age-dependent neuronal vulnerability through genome-wide in vivo CRISPRi screens in the mouse brain.

Current brain atlases are largely descriptive, cataloging correlative molecular snapshots such as gene expression signatures yet offering limited functional insight. Here, we develop a scalable, cell-type-resolved in vivo CRISPR interference (CRISPRi) platform enabling systematic gene function profiling in the mouse brain. Through genome-wide screens across four neuronal populations at three time points spanning youth to aging, we identify neuronal essential genes missed in vitro and define a consensus set of 269 neuronal core essential genes. The data reveal cell-type-specific genetic vulnerabilities, including divergent dependencies validated for exosome component 9 (Exosc9) and osteopetrosis-associated transmembrane protein 1 (Ostm1) between excitatory and inhibitory neurons. We uncover aging-specific dependencies enriched in mitochondrial and translational pathways, aligning with transcriptional changes in the aging human brain. Finally, we establish the CRISPRinvivo data portal as a community resource for in vivo screening. Altogether, this work provides a broadly applicable platform for in vivo functional genomics and a framework for building comprehensive gene-function brain atlases.

brain aging↗

PubMed2025

Genomic sequencing in diverse and underserved pediatric populations: Parent perspectives on understanding, uncertainty, psychosocial impact, and personal utility of results.

PURPOSE: Limited evidence evaluates parents' perceptions of their child's clinical genome-scale sequencing (GS) results, particularly among individuals from medically underserved groups. Five Clinical Sequencing Evidence-Generating Research consortium studies performed GS in children with suspected genetic conditions with high proportions of individuals from underserved groups to address this evidence gap. METHODS: Parents completed surveys of perceived understanding, personal utility, and test-related distress after GS result disclosure. We assessed outcomes' associations with child- and parent-related factors: child age; type of GS finding; and parent health literacy, numeracy, and education. RESULTS: A total of 1763 parents completed surveys; 83% met "underserved" criteria based on race, ethnicity, and risk factors for barriers to access. We observed high perceived understanding and personal utility and low test-related distress. Outcomes were associated with the type of GS finding; parents of children with a pathogenic or likely pathogenic finding endorsed higher personal utility and more test-related distress than those whose children had a variant of uncertain significance or normal finding. Personal utility was higher in parents who met the criteria for "underserved." CONCLUSION: Our findings shed light on correlates of parents' cognitive and emotional responses to their child's GS findings and emphasize the need for tailored support in disclosure discussions.

Humans↗

PubMed2026

KRAS Expression Complements Genomic Profiling in Identifying Therapeutic Vulnerability in Gastric Cancer.

BACKGROUND: Gastric cancer (GC) remains a major therapeutic challenge. Although alterations in the RAS pathway occur in over 50% of tumors, only a limited proportion are clinically actionable. We investigated whether KRAS expression complements genomic profiling for patient stratification and therapeutic vulnerability in GC. METHODS: Comprehensive genomic profiling was performed in 19 Taiwanese GC patients and compared with TCGA-STAD data (n = 434). KRAS mRNA expression and overall survival were evaluated by meta-analysis of 13 independent cohorts (n = 2,521). Protein-level validation was performed by immunohistochemistry in an independent cohort (n = 121). Functional KRAS dependency and response to combined MEK/SHP2 inhibition were assessed in eight GC cell lines. RESULTS: KRAS amplification was entirely contained within the KRAS-high population, whereas most KRAS-high tumors lacked detectable amplification. High KRAS expression was associated with poorer overall survival (HR 1.23, p = 0.001) and remained an independent prognostic factor after multivariable adjustment (adjusted HR 1.24, p = 0.003). Protein-level analysis showed a concordant trend. KRAS expression correlated strongly with functional dependency (R2 = 0.88, p = 0.005), was enriched in MSI and CIN subtypes, and identified cell lines with enhanced sensitivity to combined MEK/SHP2 inhibition. CONCLUSIONS: KRAS expression complements genomic profiling by identifying biologically relevant KRAS-dependent GCs beyond mutation or amplification alone. Integrating expression-based stratification with genomic profiling may improve patient selection for RAS pathway-directed combination therapies.

Biomarker↗

PubMed2026

Integrating molecular subtypes, genomics and functional dependencies to identify context-specific therapeutic vulnerabilities in small cell lung cancer.

Small cell lung cancer is one of the most aggressive malignancies, characterized by rapid tumor growth, early metastatic spread and extremely poor survival. Although most patients initially respond to platinum-based chemotherapy, relapse is almost inevitable and treatment options at recurrence remain limited. The recent introduction of immune checkpoint inhibitors has provided only modest clinical benefit, largely due to the fact that these tumors are immunologically cold. These limitations highlight the urgent need to better understand the molecular features of small cell lung cancer in order to identify more effective therapeutic strategies. In this review, we summarize current knowledge of the molecular landscape of small cell lung cancer, with particular emphasis on transcriptome-based classifications that have identified four major molecular subtypes defined by distinct transcriptional regulators and gene expression programs. We discuss how these classifications have improved the biological understanding of the disease and stimulated efforts to develop subtype-specific therapeutic strategies. At the same time, we highlight important limitations of this framework, including the remarkable transcriptional plasticity of tumor cells, which allows dynamic transitions between subtypes and may contribute to therapeutic resistance. To address these challenges, we examine additional molecular features that may represent more stable vulnerabilities, including recurrent genomic alterations, such as the widespread loss of tumor suppressor genes or oncogene amplifications through extrachromosomal DNA. We also discuss emerging approaches aimed at identifying novel context-specific cancer dependencies, including genome-scale functional screens in vitro and in vivo and genetic restraint analyses. Finally, we consider the growing potential of liquid biopsy strategies, which exploit the high level of circulating tumor DNA in patients with this disease to detect clinically relevant genomic alterations and monitor tumor evolution. Overall, this review highlights both the opportunities and challenges associated with molecular stratification in small cell lung cancer. The integration of transcriptional classifications with genomic and functional approaches may help identify more robust therapeutic vulnerabilities and guide the development of more effective treatments for this highly aggressive disease.

Cancer vulnerabilities↗

PubMed2026

Mechanism-Driven Diagnostic Development: A Specimen-Aware Framework Illustrated by Colorectal Cancer and Solid Tumours.

Translational oncology has moved rapidly from histopathology and single-analyte biomarkers toward multi-dimensional molecular profiling. Yet many clinically deployed tests still use reductionist biomarker strategies that under-represent cancer complexity. This review examines whether a mechanistic, multi-layered, and specimen-aware approach can improve cancer detection, classification, prognosis, minimal residual disease (MRD) assessment, and therapeutic selection. Evidence across solid tumours shows that genomic alterations alone incompletely explain tumour state, metastatic behaviour, immune evasion, or therapeutic vulnerability. Integrated genome and transcriptome analyses, proteogenomics, single-cell atlases, fragmentomic, methylation based cell-free DNA assays, metabolomics and microbiome assessments reveal clinically relevant biology that single modality tests cannot determine. Minimally invasive collected specimens can extend access to screening, diagnosis and longitudinal monitoring, but the choice of specimen should be matched to disease biology and analytes that represent mechanisms of oncogenesis. However, translation remains constrained by pre-analytical variability, contamination, differences in tumour shedding behaviour, clonal haematopoiesis, translation of generated models, incomplete external validation and uncertain downstream clinical utility for emerging platforms. This review provides a commentary on the future of cancer diagnostics, the considerations and barriers to clinical translation, the relationship between utility and dimensionality of biomarkers assessed and the emerging rationale towards mechanistically grounded integrated models.

biomarkers↗

PubMed2026

Genomic-Environmental Integration Predicts Climate Vulnerability and Adaptive Potential of Tibetan Plateau Herpetofauna.

The herpetofauna of the Tibetan Plateau, home to Earth's highest-elevation ectothermic vertebrates, face escalating threats from rapid climate change. However, conventional conservation strategies often overlook intraspecific genetic variation and adaptive potential, limiting their predictive accuracy and effectiveness. Here, we integrate whole-genome resequencing data with environmental modeling to assess climate vulnerability in two endemic species: Nanorana parkeri (Tibetan frog) and Thermophis baileyi (hot-spring snake). Results suggest that the western populations of the two species exhibit higher genomic offsets under future climate, while some eastern populations of the Tibetan frog face a decrease in niche suitability, and the hot-spring snake will experience varying degrees of loss of suitable habitats. Furthermore, heterozygosity, genetic diversity, and genetic load demonstrate significant correlations with genomic offsets, suggesting that low genetic diversity and high genetic load may weaken the potential to adapt to environmental changes. Based on a genome-niche index that combines genomic offsets with niche suitability change, we identified evolutionary rescue populations that are potentially tolerant to climate change. Our findings underscore the importance of integrating genomic and environmental data to forecast the adaptive potential and enable effective conservation management of high-altitude herpetofauna under rapid climate change.

Animals↗