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PubMed2026

Big data in multiple sclerosis.

PURPOSE OF REVIEW: This review summarizes recent key advancements in multiple sclerosis (MS) achieved through the utilization of big data from diverse sources and advanced analytical techniques. RECENT FINDINGS: Real-world evidence (RWE) derived from MS big data has significantly enhanced treatment strategies, redefined the concept of disease progression, refined prognostic models, and facilitated personalized medicine. RWE has highlighted the long-term benefits of early intensive treatment compared to escalation strategies, the unfavorable risk profile associated with treatment de-escalation and the importance of managing treatments during pregnancy. Additionally, it has revealed similarities and differences in the effectiveness and safety of specific high-efficacy therapies, as well as key predictors for switching treatments. RWE has also emphasized the central role of progression independent of relapse activity as a significant driver of disability and predictor of unfavorable long-term outcomes in both adult and pediatric onset MS. A data-driven approach utilizing artificial intelligence and big data has established a comprehensive framework for understanding the disease's evolution. Multimodal big data frameworks - encompassing clinical data, MRI, genomics, biomarkers, and app-based metrics - have demonstrated their ability to enhance diagnostic performance and risk stratification in MS. SUMMARY: Big data approaches are transforming MS research and clinical practice by providing stronger RWE to guide therapeutic decision-making, refining models of disease progression, and developing more precise prognostic tools.

Humans↗

PubMed2026

Personalizing endometrial cancer care beyond histology: clinical applications and limits of molecular classification.

Endometrial cancer is a biologically heterogeneous disease whose management has been reshaped by molecular classification. This review summarizes the current evidence supporting the integration of molecular subgroups into prognostic assessment and treatment personalization across stages of disease. The Cancer Genome Atlas classification and its clinically applicable surrogates identify four major molecular categories: POLE-mutated, mismatch repair-deficient, p53-abnormal, and no specific molecular profile tumors. These groups differ substantially in biology, prognosis, treatment sensitivity, and areas of unmet need. POLE-mutated tumors have an excellent prognosis and represent the clearest candidates for adjuvant treatment de-escalation, particularly in early-stage disease. Mismatch repair-deficient tumors show intermediate prognosis but strong sensitivity to immune checkpoint inhibition, which has transformed the management of advanced and recurrent disease and is now being tested in earlier settings. p53-abnormal tumors represent the highest-risk subgroup, requiring multimodal treatment and offering opportunities for biomarker-driven strategies including HER2-directed therapy and DNA damage repair targeting. No specific molecular profile tumors remain the most heterogeneous category, increasingly refined by estrogen receptor status, grade, L1 cell adhesion molecule overexpression, and other biomarkers. Mismatch repair-proficient advanced/recurrent disease should be interpreted as a composite clinical trial population rather than a molecular class. Molecular classification should be integrated with traditional clinicopathologic factors, emerging biomarkers, and local implementation strategies to support equitable, biologically informed treatment selection in endometrial cancer.

Humans↗

PubMed2026

Decoding age-stratified clinical and molecular heterogeneity in male breast cancer through multiomic profiling.

OBJECTIVE: Age-associated molecular heterogeneity is well described in female breast cancer but remains insufficiently characterized in male breast cancer (MBC). We profiled age-stratified clinical and molecular differences between younger (≤55 years) male breast cancer (YMBC) and older (>55 years) male breast cancer (OMBC). METHODS: We retrospectively analyzed 347 patients with MBC diagnosed at Fudan University Shanghai Cancer Center by integrating clinicopathological data, RNA sequencing, and whole-exome sequencing (WES). Survival, differential expression, and mutational signature analyses were performed. Tumor microenvironment features were inferred using xCell and ESTIMATE, and weighted gene co-expression network analysis (WGCNA) was conducted to identify age-associated co-expression modules. Candidate therapeutics were prioritized using the Genomics of Drug Sensitivity in Cancer (GDSC) resource and evaluated using patient-derived organoids (PDOs). RESULTS: Compared with OMBC, YMBC more frequently had human epidermal growth factor receptor 2 (HER2)-positive status (14.91% vs. 4.02%) and triple-negative tumors (4.92% vs. 1.78%), and had worse 5-year recurrence-free survival (hazard ratio=2.19, P=0.018). Transcriptomic analyses indicated enrichment of neural-related programs and reduced immune-related signaling in YMBC, and xCell/ESTIMATE supported lower immune infiltration. Consistently, WGCNA identified age-associated modules linking neural-related programs with reduced immune infiltration. Immunohistochemistry supported increased perineural invasion and lower CD8+ T cell infiltration in YMBC. GDSC-guided prioritization with PDO testing nominated sepantronium bromide (YM155) as a candidate vulnerability in YMBC. WES showed a higher NBPF10 mutation frequency in YMBC (54.5% vs. 14.3%, P<0.05). CONCLUSIONS: Integrated multi-omics profiling revealed age-stratified clinical and molecular heterogeneity in MBC. YMBC patients demonstrated inferior recurrence-free survival, neural signaling enrichment, an immune-cold microenvironment, and enriched NBPF10 mutations. These findings support age as a meaningful stratification variable in MBC risk assessment and treatment planning, and highlight the need for caution when considering treatment de-escalation in younger patients, while nominating YM155 as a candidate agent for prospective evaluation.

Male breast cancer↗

PubMed2026

Selective Omission of Oncotype Dx Genomic Testing in Ultra-Low-Risk Luminal A Breast Cancer.

INTRODUCTION: Older women with early-stage luminal A breast cancer have an excellent prognosis with a 5-year relative survival >99%. Research on curtailing overtreatment has challenged historical standards of care by reducing radiotherapy dose and volume, and selectively omitting sentinel lymph node biopsy. This study assessed the utility of Oncotype Dx genomic testing in ultra-low-risk luminal A breast cancer. PATIENTS AND METHODS: A community hospital cancer registry was queried to identify consecutive breast cancer patients from 2014 to 2022. An ultra-low-risk population was defined as age ≥60 years, hormone-receptor positive, HER2-negative, pathologic stage T1b-T2N0 without lymphovascular invasion, and Ki-67 ≤13.25%. Analyses examined the distribution of Oncotype Dx scores categorized as low risk (0-18), intermediate risk (19-25), or high risk (26-100), as well as recurrence and overall survival. RESULTS: Of 1711 patients, 91 met ultra-low-risk eligibility criteria with available Oncotype Dx results. The median age was 70 years with a median follow-up of 5.1 years, and no patients received chemotherapy. Only 1 patient (1.1%) had a high-risk Oncotype Dx score of ≥26, while 12 (13.2%) had intermediate scores and 78 (85.7%) were low risk. Five-year local control and overall survival were 100% and 93%, respectively. Ten non-breast cancer deaths occurred, and no patients developed distant metastases. CONCLUSION: We describe a pragmatic method using common clinical and pathological features to define an ultra-low-risk cohort. Older luminal A patients with favorable pathology have a very low probability of receiving a high-risk Oncotype Dx score and demonstrate an excellent prognosis with standard adjuvant therapy.

Chemotherapy↗

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

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

Thirty years of adjuvant therapy: From treating risk to treating residual disease.

Over the past three decades, adjuvant therapy for solid tumours has evolved from treatment based predominantly on anatomical recurrence risk towards strategies informed by tumour biology, treatment response, and molecular residual disease. Cytotoxic chemotherapy and endocrine therapy established the curative potential of postoperative systemic treatment, while targeted agents and immunotherapy expanded its efficacy across malignancies. However, matching a drug to tumour biology does not establish whether residual cancer remains, and many patients receive treatment despite having been cured by surgery alone. This Perspective examines the transition from empirical risk reduction towards selective intervention against residual disease. Response-adapted perioperative strategies provide a dynamic assessment of treatment sensitivity and support postoperative escalation or omission in defined settings. Circulating tumour DNA offers a complementary approach, but its strong prognostic value must be distinguished from evidence that biomarker-directed treatment improves outcomes. Contrasting findings from randomised trials demonstrate that neither de-escalation after a negative result nor escalation after a positive result can be generalised across clinical contexts. Future studies should integrate anatomical risk, tumour genomics, pathological response, and longitudinal molecular assessment while prioritising absolute benefit, mature survival outcomes, irreversible toxicity, patient-reported outcomes, and equitable access. They should also distinguish durable eradication from temporary suppression and evaluate treatment omission with the same rigour as intensification. Progress in adjuvant oncology should ultimately be measured by additional cures achieved with less avoidable harm, through the smallest effective intervention supported by validated evidence.

Adjuvant therapy↗

PubMed2026

De-escalation of radiotherapy in HPV-negative non-nasopharyngeal head and neck squamous cell carcinoma: a systematic review.

BACKGROUND: Definitive and postoperative radiotherapy are central components of treatment for head and neck squamous cell carcinoma (HNSCC) but are associated with significant toxicities that can impair long-term function and quality of life. De-escalation strategies, aiming to reduce treatment-related morbidity while maintaining tumor control, have attracted increasing interest. However, most research has focused on HPV-positive oropharyngeal carcinoma. Systematic evidence for HPV-negative disease remains limited. METHODS: PubMed and EMBASE were searched for prospective studies investigating radio(chemo)therapy de-escalation in HPV-negative, HPV-unspecified, or mixed non-nasopharyngeal HNSCC populations. CLINICALTRIALS: gov was searched for ongoing prospective trials. Data extraction and verification were performed independently by three investigators. RESULTS: Screening of 3156 records identified 14 published prospective studies, 10 in the definitive and four in the postoperative setting. Strategies included reduction or omission of elective nodal volumes, dose reduction, and combined approaches. Additionally, 23 ongoing prospective trials were identified. Across studies, elective nodal failure rates were consistently low (0-4.6%), with most recurrences occurring within high-dose volumes rather than de-escalated elective regions. Randomized evidence for elective nodal dose reduction is mixed: two trials maintained regional control and reduced acute toxicity, whereas another was stopped for futility. CONCLUSION: Available evidence on de-escalation in HPV-negative HNSCC is limited, derived primarily from small, heterogeneous phase II studies with mixed HPV populations. Although data are promising in selected settings, notably for elective nodal control, the randomized evidence for elective nodal dose reduction is conflicting, and further adequately designed prospective randomized trials are required.

Humans↗

PubMed2026

Radiomics as a spatial context for treatment decision-making in head and neck cancer.

Radiomics has been widely explored as a non-invasive biomarker in head and neck squamous cell carcinoma (HNSCC), yet its clinical role remains unclear. Tissue-based biomarkers differ in their susceptibility to spatial sampling. Biomarkers such as PD-L1 expression, immune-cell infiltration, necrosis, and immune exclusion may exhibit substantial spatial heterogeneity, whereas HPV/p16 status and some genomic alterations are generally more stable across the tumor. Nevertheless, localized sampling may incompletely capture heterogeneity in selected clinical contexts. This mismatch becomes clinically relevant when treatment decisions, particularly for chemoradiotherapy, immunotherapy, or de-escalation, are based on potentially non-representative biopsy findings. In this narrative review, we argue that the role of radiomics is not to outperform established biomarkers, but to contextualize them by capturing spatial heterogeneity related to hypoxia, necrosis, stromal architecture, and immune exclusion. We synthesize current evidence linking radiomic features to these biological processes and map them to specific clinical decision points, including larynx preservation, immunotherapy stratification, and recurrence assessment. Rather than serving as a standalone predictor, radiomics may provide complementary spatial information that helps identify situations in which biopsy-derived biomarkers should be interpreted with caution. Although current evidence is largely retrospective, radiomics offers a pragmatic framework for integrating spatial information into biomarker-guided clinical workflows.

Journal Article↗

PubMed2026

Swab Testing to Optimize Pneumonia Treatment With Empiric Vancomycin: A Randomized Controlled Trial.

BACKGROUND: Fear of methicillin-resistant Staphylococcus aureus (MRSA) as a cause of community-acquired pneumonia (CAP) frequently leads to empiric vancomycin coverage. Data evaluating the use of MRSA polymerase chain reaction (PCR) nasal swab testing to guide vancomycin de-escalation is limited for patients in the intensive care unit (ICU). METHODS: Swab Testing to Optimize Pneumonia Treatment With Empiric Vancomycin (STOP-Vanc) is a pragmatic, prospective, single-center, non-blinded randomized trial in which adult ICU patients with suspicion of CAP were randomized 1:1 to receive usual care either with (intervention) or without (control) the addition of MRSA nares PCR testing following ICU admission. The primary outcome was vancomycin-free hours alive, defined as the expected number of hours alive and free of vancomycin use within the first 7 days of trial enrollment as estimated using a longitudinal proportional odds state transition model adjusted for baseline covariates. RESULTS: A total of 277 adult ICU patients were randomized. Methicillin-resistant Staphylococcus aureus PCR nasal swab testing had a negative predictive value (NPV) of 98.9% in the intervention arm. The primary endpoint, vancomycin-free hours alive, was 105.7 in the control arm and 109.7 in the intervention arm (adjusted difference, 4 hours; 95% CI, -9.5-18.2; P = .458). CONCLUSIONS: Despite MRSA PCR nasal swab testing demonstrating a high NPV in this critically ill population, MRSA PCR nasal swab testing did not decrease the duration of vancomycin use or 30-day mortality among ICU patients with suspected CAP. Additional clinician education and antimicrobial stewardship interventions might be needed to reduce vancomycin use in this patient population. CLINICAL TRIALS REGISTRATION: ClinicalTrials.gov NCT06272994 (STOP-Vanc).

Humans↗

PubMed2026

Decluttering chemotherapy agents for HER2+early breast cancer: Do we still need carboplatin?

Over the past two decades, targeted anti-HER2 therapies have transformed management of HER2-positive early breast cancer (HER2 + eBC), enabling chemotherapy de-escalation without compromising efficacy. This review assesses the rationale for incorporating carboplatin into (neo)adjuvant regimens and critically examines its routine use in unselected patient populations with HER2-positive eBC. While initial translational and early clinical studies suggested that adding carboplatin to taxane-based chemotherapy combined with anti-HER2 therapy might be beneficial, more recent randomized trials have failed to demonstrate incremental advantage and have raised concerns about increased toxicity. Emerging prognostic and predictive biomarkers, most notably the HER2DX genomic assay, hold promise for identifying high-risk patient subgroups who may derive meaningful benefit from carboplatin. We conclude that carboplatin should not be routinely added in unselected HER2-positive early breast cancer, but rather, a biomarker-driven, personalized strategy is recommended to enhance patient selection, refine the treatment algorithm, and maximize the cost-to-benefit ratio.

De-escalating neoadjuvant treatments↗

PubMed2026

The 21st International ``Ponte di Legno'' Childhood Acute Lymphoblastic Leukemia Workshop Report: Progress and Emerging Opportunities.

The 21st Ponte di Legno Working Group meeting convened in Orlando, USA, on December 4-5, 2025, bringing together leading childhood acute lymphoblastic leukemia (ALL) investigators from major global consortia. In response to the transformative advances in childhood ALL treatment, particularly the integration of immunotherapy into frontline therapy, the group revisited and updated its mission statement. The revised mission emphasizes collaborative studies on rare leukemia subsets, harmonized toxicity reporting, particularly for immunotherapy-related toxicities, and unrestricted worldwide collaboration. In addition, sharing data and strategies for integrating novel agents will be integral to optimizing future trial design. Key scientific topics included rare genetic subgroups, T-cell ALL genomics, treatment-related toxicity benchmarking, and central nervous system (CNS) disease management challenges. A major focus was immunotherapy integration into frontline therapy, particularly blinatumomab as an emerging standard of care and inotuzumab ozogamicin as an investigational agent, and their potential to enable chemotherapy de-escalation. Additional discussions addressed immunotherapy-specific toxicities. The integration of immunotherapy into frontline ALL therapy represents a paradigm shift with potential to improve outcomes while reducing treatment burden. However, careful attention to CNS disease control, emerging toxicities, and preservation of the remarkable achievements in childhood ALL therapy remains essential as the field advances.

Blinatumomab↗

PubMed2026

Primary Tumor Epigenetic and Transcriptomic Alterations Associated with Nodal Burden and Metastatic Risk in ER+/HER2- Breast Cancer.

De-escalation of axillary surgery has resulted in the loss of pathologic nodal information, yet the extent of lymph node involvement remains an important determinant of treatment decisions in estrogen receptor-positive (ER+)/HER2- disease. We examined whether primary tumors differed molecularly according to the extent of this regional dissemination. Genome-wide DNA methylation profiling of primary ER+/HER2- tumors from 47 patients with pN1 (n = 29) vs. >pN1 (n = 18) disease showed differences concentrated at promoters of developmental and cell-adhesion genes. By integrating methylomes with transcriptomes from the TCGA-BRCA cohort (n = 148) and clinical outcomes from KM Plotter (RFS, n = 1154; OS, n = 442; DMFS, n = 423), we identified four genes (ARL10, RIC3, CXCL14, KCNH2) showing concordant molecular and clinical associations, from which we derived the Lymph-node Involvement Outcome Numerator (LION) score. Lower LION scores were observed in metastatic lesions from the AURORA US cohort (n = 45). In SCAN-B (n = 3969), lower scores were associated with shorter distant recurrence-free intervals (HR = 0.38; 95% CI 0.23-0.62); this association persisted after adjustment for age, nodal and tumor category but was lost after adjustment for histological grade (HR = 0.83; 95% CI 0.48-1.44), indicating that the score and grade capture overlapping biology. These findings suggest that primary tumors already display coordinated epigenetic and transcriptional alterations associated with the extent of metastatic dissemination.

Humans↗

PubMed2025

MammaPrint predicts chemotherapy benefit in HR+HER2- early breast cancer: FLEX Registry real-world data.

BACKGROUND: Gene expression assays help personalize adjuvant chemotherapy decisions for hormone receptor-positive, HER2-negative (HR+HER2-) early breast cancer (EBC). The 70-gene risk of distant-recurrence signature, MammaPrint, demonstrated clinical utility in guiding chemotherapy de-escalation in genomically low risk patients in the MINDACT trial. This study evaluates MammaPrint as a continuous predictor of chemotherapy benefit in HR+HER2- EBC using real-world data (RWD) from the FLEX Registry. METHODS: The study evaluated 1002 patients treated with endocrine therapy (ET) only or ET with chemotherapy (ET+CT) enrolled in FLEX (NCT03053193) with 5-year median follow-up. Propensity-score matching balanced treatment groups by menopausal status, T-stage, and nodal status. The primary endpoint was distant recurrence-free interval (DRFI). Regression and Cox proportional hazards models assessed chemotherapy benefit across MammaPrint Index (MPI) risk. RESULTS: Most patients were postmenopausal (70.1%), node-negative (70.0%), and had grade 2 tumors (51.2%). The regression models showed that MPI strongly predicted 5-year DRFI in ET only (R2 = 0.99, P < .001) and ET + CT (R2 = 0.90, P < .001) groups, corresponding to an average absolute chemotherapy benefit of 5.6% in High 1 and 10.9% in High 2. Minimal improvement in DRFI with chemotherapy was observed for Low (1.7%) and UltraLow (<1.0%) risk groups. A multivariate Cox model with an MPI-by-treatment interaction term demonstrated that increasing MPI risk was associated with greater chemotherapy benefit on DRFI (HR = 0.15, P = .047). Chemotherapy benefit was significantly associated with premenopausal status, but not age, T-stage, nodal status, or grade. CONCLUSIONS: These RWD from the FLEX Registry demonstrate that MPI is predictive of both DRFI prognosis and chemotherapy benefit in HR+HER2- EBC. (NCT03053193).

Adult↗

PubMed1975

Respiratory problems complicating burn injury: recognition, assessment, and treatment.

Postburn pulmonary injury is a common and frequently overlooked concomitant of burn injury. The lesion may be secondary to direct damage to the respiratory apparatus from the inhalation of smoke or of toxic or superheated chemicals or from mechanical mechanisms or it may be secondary to indirect damage from hypovolemia, shock, central nervous system disturbances, or drug usage. Therapy comprises establishment of a clear airway and administration of humidity and oxygen in amounts appropriate to maintain adequate blood oxygen tension and pH. Sequential monitoring of oxygen and pH status is required. The diagnosis of postburn pulmonary injury is made on clinical grounds, and sequential management of the patient, closely supported by laboratory studies, is essential. Surface decompression of the thorax, antibiotics given systemically, and sequentially increasing respiratory support (with later de-escalation) may be needed.

Airway Obstruction↗

PubMed2026

HIV-Associated Lymphomas: Updates from Pathogenesis to Treatment Strategies.

HIV-associated lymphoma (HAL) is an aggressive malignancy directly linked to HIV infection and accounts for more than 30% of cancer-related deaths in people living with HIV (PLWH). HAL subtypes, including diffuse large B-cell lymphoma (DLBCL), Burkitt lymphoma (BL), primary effusion lymphoma (PEL), and plasmablastic lymphoma (PBL), exhibit five to ten times higher incidence rates and distinct molecular profiles compared to HIV-negative lymphomas. Pathogenesis involves HIV-driven CD4+ T-cell depletion, chronic B-cell activation, and oncogenic viral coinfection. First-line therapy combines antiretroviral therapy (ART) with chemotherapy, achieving complete remission rates of 60-70% for DLBCL using R-EPOCH and 50-60% for BL with CODOX-M/IVAC. Relapsed/refractory cases show durable responses to CD19- CAR-T therapy; however, only 10% of HAL patients are enrolled in pivotal immunotherapy trials. Severe immunosuppression necessitates PET-CT-guided de-escalation and nanoparticlebased drug delivery systems to minimize toxicity. Emerging strategies include PD-1 inhibitors and broad-spectrum antivirals targeting HIV reservoirs, underscoring the need for precision medicine that integrates tumor genomics and viral dynamics.

Humans↗

PubMed2026

Reduced Length of ADT and ARTA With XRT in High-Risk Prostate Cancer (RELAX): A Randomised Controlled Trial.

AIM: To assess the efficacy of a short, intensified regimen of androgen deprivation therapy (ADT) and androgen receptor-targeted agent (ARTA) with curative-intent external beam radiotherapy (XRT) for high-risk prostate cancer (HRPCa) staged with prostate specific membrane antigen (PSMA) imaging. MATERIALS AND METHODS: The RELAX (Reduced Length of ADT and ARTA with XRT in high-risk prostate cancer) trial is a multicentre, phase II randomised non-inferiority trial comparing 9 months of ADT and 6 months of ARTA against the standard 24-month ADT, with definitive dose-escalated hypofractionated pelvic radiotherapy for PSMA-staged non-metastatic HRPCa. The primary endpoint is 5-year disease-free survival (DFS), defined from randomisation to first biochemical or clinico-radiological recurrence or any-cause death. Secondary endpoints include biochemical failure-free survival, metastasis-free survival, overall survival, testosterone recovery, treatment-related adverse effects, and patient-reported outcomes. Participants are monitored with serial serum PSA and testosterone levels, CTCAE and PRO-CTCAE assessments, and PSMA-PETCT at recurrence. The non-inferiority margin is set at 10% absolute difference from an expected 5-year DFS of 85% in the standard arm, with intention-to-treat analysis. The trial is ethics board approved and funded by institutional intramural grant, and registered on clinicaltrials.gov (NCT06818682). RESULTS: The planned accrual of 206 participants commenced in February 2025, with nearly a third of enrolment completed till date. CONCLUSION: The RELAX trial incorporates contemporary standards of PSMA-based staging, dose-escalated hypofractionated radiotherapy, and ARTA for HRPCa. The results are expected to inform the efficacy of a shorter, intensified androgen suppression strategy against the prevailing standard of long-term ADT for these patients.

Humans↗

PubMed2026

The next-generation biomarkers in early-stage triple negative breast cancer.

PURPOSE OF REVIEW: Despite maximal neoadjuvant chemoimmunotherapy, nearly 40% of early-stage triple-negative breast cancer (TNBC) patients fail to achieve pathological complete response, underscoring an urgent need for biomarkers capable of guiding treatment modulation. This review summarizes recent advances in tumor-infiltrating lymphocytes (TILs), circulating tumor DNA (ctDNA), and genomic signatures, exploring their potential integration into clinical decision-making. RECENT FINDINGS: TILs remain the most validated, cost-effective prognostic biomarker, although standardized scoring is still needed to overcome interobserver variability. ctDNA has emerged as a dynamic, real-time prognostic tool, with postneoadjuvant detection strongly predicting relapse and worse outcomes. Nonetheless, optimal sampling timing remains undefined. Genomic signatures, particularly TNBC-DX, provide standardized, reproducible prognostic information by integrating immune and proliferative gene expression. Emerging data suggest that combining these biomarkers may offer a complementary and synergistic effect. SUMMARY: Multibiomarker integration, supported by prospective validation and automated models, represents a promising approach to personalize treatment algorithms in early-stage TNBC, balancing efficacy and toxicity while guiding escalation and de-escalation strategies.

artificial intelligence↗