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PubMed2026

Rates, Timing, and Predictors of Retreatment Across Risk-Cohorts in Retinopathy of Prematurity: Intravitreal Bevacizumab Injection Versus Laser.

OBJECTIVE: To characterize rates, timing, and predictors of retinopathy of prematurity (ROP) retreatment among infants treated with primary laser or intravitreal bevacizumab injection. DESIGN: Retrospective consecutive, comparative clinical study. PARTICIPANTS: Infants who underwent initial treatment for treatment-warranted ROP (TW-ROP) with either intravitreal bevacizumab or laser photocoagulation between 2017 and 2023. METHODS: Patients were stratified into two treatment groups: primary laser group vs primary bevacizumab group. MAIN OUTCOME MEASURES: Retreatment within the first 3 months (0-90 days) was assessed and classified as early (≤30 days) or late (31-90 days). RESULTS: Two hundred and thirty eight eyes of 122 infants were treated for ROP; of those, 181 (76.1%) eyes of 93 (76.2%) patients were included. There were 116 (64.1%) eyes in the bevacizumab group, and 65 (35.9%) eyes in the laser group. Thirty-three (18.2%) eyes-all micro- or nano-premature (<27 weeks GA and/or <800 grams)-required retreatment for TW-ROP. Sixteen (8.8%) required early retreatment at a median postmenstrual age (PMA) of 40.4 weeks (IQR, 38.44-43.3). There were differences in the proportion of early retreated infants (21.5% for laser vs 1.7% for injection, P < .001). Seventeen (9.4%) eyes required late retreatment. The median PMA at late retreatment was 45.6 weeks (IQR, 43.7-47.4). Infants in the bevacizumab group had lower odds of retreatment within three months than those with laser (OR, 0.23; 95% CI, 0.06-0.82). Similarly, patients in the bevacizumab group had lower odds of requiring early retreatment compared to those with laser (OR, 0.08; 95% CI, 0.04-0.18). Within eyes with retreatment, infants in the bevacizumab group had a later PMA at retreatment than those in the laser group (B = 6.81; 95% CI: 4.68-8.93). AROP was associated with earlier PMA at retreatment (B = -7.72; 95% CI, -9.36 to -6.10). CONCLUSION: In this study, early retreatment was low (8.8%), with most eyes initially treated with laser (21.5%) rather than bevacizumab (1.7%). Aggressive ROP was associated with earlier retreatment, highlighting its role as a marker of more severe disease. Compared to laser, bevacizumab was associated with lower overall and early retreatment, and delayed need for additional intervention when necessary. All retreatments occurred in micro- or nano-premature infants, suggesting that medium-to-low risk infants may require less strict post-treatment monitoring.

Humans↗

PubMed2026

Decoding primary refractoriness to atezolizumab plus bevacizumab in hepatocellular carcinoma: The myeloid frontier.

Explore the source record for details and available documents.

Biomarker↗

PubMed2026

Effect of renin-angiotensin system inhibitors on survival in glioma patients: A systematic review and meta-analysis.

PURPOSE: To evaluate the effect of renin-angiotensin system inhibitors (RASIs) on the survival outcomes of glioma patients, determine whether using RASIs correlates with survival benefit, and provide evidence-based guidance for the clinical treatment. METHODS: Studies assessing the effects of using RASIs versus non-use in glioma patients were retrieved from the PubMed, Cochrane Library, Web of Science, and Embase databases from inception to April 17, 2024. The included studies reported hazard ratios (HRs) with 95% confidence intervals (CIs) for overall survival (OS) and/or progression-free survival (PFS), as well as the effect on brain edema and steroid dosing in patients. RESULTS: Seven articles involving 2660 patients were included in this study. Pooled results indicated there was no significant difference in OS (HR = 0.89, 95% CI 0.75-1.06, P = 0.204) or PFS (HR = 0.98, 95% CI 0.82-1.18, P = 0.847) between RASIs-treated patients and non-RASIs-treated patients. Sensitivity analysis identified the ACEIs-focused trial reported by Happold et al. as a major contributor to inter-study heterogeneity. Subgroup analyses revealed that in recurrent glioblastoma, pooled OS was significantly longer in RASIs-treated patients than non-RASIs-treated patients (HR = 0.70, 95% CI 0.54-0.92, P = 0.01). Similarly, compared with bevacizumab monotherapy, bevacizumab combined with RASIs significantly extended OS in glioblastoma patients (HR = 0.73, 95% CI 0.63-0.86, P < 0.001). CONCLUSION: The results revealed that treatment with RASIs may show a trend toward prolonged overall survival (OS) in patients with glioma. For patients with glioblastoma, RASI therapy could prolong OS in those with recurrent disease. Furthermore, compared with bevacizumab monotherapy, the combination of RASIs and bevacizumab was associated with improved OS in glioblastoma patients.

Humans↗

PubMed2026

Molecular targeted therapy in combination with chemotherapy for the treatment of platinum-resistant/refractory ovarian cancer (PROC): a systematic review and network meta-analysis.

BACKGROUND: Although single-agent chemotherapy is the most common approach for treating platinum-resistant or refractory ovarian cancer (PROC), there is growing evidence that combining molecular targeted agents with chemotherapy is beneficial, especially for certain patient groups. However, the most effective combination regimen remains elusive. OBJECTIVES: This Bayesian network meta-analysis (NMA) aims to identify the best combination therapy for PROC. METHODS: Relevant studies were searched in PubMed, EMBASE, Web of Science and the Cochrane Central Register of Controlled Trials from their inception until October 2024. The primary outcomes were overall survival (OS), progression-free survival (PFS) and adverse events (AEs). Statistical analyses were performed using the GEMTC package (1.0-2) and R 4.2.0. This review was registered in PROSPERO (CRD42023428414). RESULTS: Our analysis of 22 randomized controlled trials (RCTs) (n = 3408) demonstrated that chemotherapy combinations with bevacizumab (hazard ratio (HR) = 0.52-0.65), sorafenib (HR = 0.65, 95% confidence interval (CI): 0.45-0.93) or adavosertib (HR = 0.56, 95%CI: 0.35-0.90) significantly improved OS and PFS versus chemotherapy alone. Notably, adavosertib + gemcitabine was associated with an increased risk of grade 3-4 AEs (relative risk (RR) = 1.8, 95%CI: 1.3-2.7), but these were generally manageable. CONCLUSIONS: Bevacizumab-based combinations demonstrate consistent benefits across multiple regimens for PROC. Paclitaxel + bevacizumab emerges as the optimal balance of efficacy and safety. Topotecan + sorafenib could be an alternative for patients who are ineligible for anti-angiogenic therapy.

Humans↗

PubMed2026

Addition of High-Dose Vitamin D3 to Standard Treatment in Patients With Metastatic Colorectal Cancer: The SOLARIS Randomized Clinical Trial (Alliance A021703).

IMPORTANCE: In a phase 2 randomized clinical trial, high-dose vitamin D3 added to standard treatment improved progression-free survival (PFS) compared with standard-dose vitamin D3 in patients with metastatic colorectal cancer (mCRC). OBJECTIVE: To determine if high-dose vitamin D3 added to standard chemotherapy improves outcomes in patients with previously untreated mCRC. DESIGN, SETTING, AND PARTICIPANTS: Double-blind phase 3 randomized clinical trial enrolling 455 patients with previously untreated mCRC, conducted in the US through the National Clinical Trials Network from October 2019 to December 2022 (database freeze: July 15, 2024). INTERVENTIONS: mFOLFOX6 (modified FOLFOX6 [5-fluorouracil, leucovorin, oxaliplatin]) or FOLFIRI (5-fluorouracil, leucovorin, irinotecan) plus bevacizumab every 2 weeks with either high-dose vitamin D3 (8000 IU daily × 14 days as loading dose followed by 4000 IU daily) or standard-dose vitamin D3 (400 IU daily) until disease progression, intolerable toxicity, or withdrawal of consent. MAIN OUTCOMES AND MEASURES: The primary end point was PFS assessed by the unstratified log-rank test. Secondary end points included objective response rate, overall survival, and toxicity. Prespecified subgroup analyses of PFS were performed according to known prognostic factors. RESULTS: Among 455 randomized patients (median age, 59 years; 181 [40%] female) with median follow-up 20 months, the median PFS for high-dose vitamin D3 (n = 228) was 11.8 months (95% CI, 10.3-13.3) vs 10.3 months (95% CI, 9.4-12.2) for standard-dose vitamin D3 (n = 227) (1-sided log-rank P = .25). There were no significant differences in objective response rate between high-dose and standard-dose vitamin D3 (51% [95% CI, 44%-58%] vs 44% [95% CI, 37%-50%], respectively; P = .12), or in overall survival (median, 25.6 vs 27.0 months; 1-sided log-rank P = .66). There were no clinically meaningful differences in the most common grade 3 or greater adverse events between the high- and standard-dose groups, including neutropenia (n = 67 [32%] vs n = 62 [30%]) and hypertension (n = 42 [20%] vs n = 49 [23%]) or in incidence of vitamin D-associated toxicities. CONCLUSIONS AND RELEVANCE: Among patients with previously untreated mCRC, addition of high-dose vitamin D3, vs standard-dose vitamin D3, to standard chemotherapy plus bevacizumab did not improve PFS. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04094688.

Aged↗

PubMed2026

Whole-Exome Sequencing Identifies Candidate Genomic Features Associated with Response to Platinum-Based Chemotherapy and Ixabepilone-Based Treatment in Ovarian Cancer.

Carboplatin/paclitaxel (CP) chemotherapy is the cornerstone of therapy for advanced stage ovarian cancer (OC). However, despite initial sensitivity, this regimen cannot avoid the emergence of resistance. Ixabepilone ± bevacizumab (IB) is a combination recently added to NCCN guidelines for the treatment of platinum-resistant OC. It would be desirable to identify biomarkers able to differentiate patients who are resistant to CP and IB, and biomarkers that identify which patients may benefit from IB treatment. We analyzed whole-exome-sequencing (WES) data from 49 OC patients exposed to CP, including 28 platinum-sensitive vs. 21 platinum-resistant, and 31 additional platinum-resistant patients, including 16 responders (i.e., CR/PR) vs. 15 non-responders (SD/PD) to ixabepilone ± bevacizumab. Comprehensive genetic analyses were performed to identify alterations correlated with resistance to CP and IB. WES analysis of CP responders vs. non-responders revealed differences in HRD-signatures (p < 0.05), OS (p < 0.005) and gain/loss-of-function in multiple genes associated with tumor growth/progression including but not limited to ACVR2A, INHBA, MAP3K7, ATG5, SGK1, FYN, RSPO3, NOD1 and LRRK2. WES analysis of platinum-resistant IB-treated patients revealed additional nominally significant genes and deranged pathways including gains in the DROSHA and SDHA genes in responders vs. non-responders (p < 0.05). Patients harboring HRD-signatures showed significantly higher sensitivity to CP and prolonged survival compared to HRD-negative patients. Alterations in genes associated with tumor growth/progression correlated with resistance to CP regimen and may represent novel "druggable" candidate biomarkers for the targeted treatment of CP/IB-resistant patients. Further validation in independent cohorts and preclinical experiments in CP/IB-resistant models are warranted to establish the clinical utility of these findings.

Humans↗

PubMed2026

Beyond the "cold" barrier: Redefining the clinical paradigm of immune checkpoint inhibitor therapy in ovarian cancer.

Ovarian cancer remains an immunologically "cold" tumor, with early all-comer immune checkpoint inhibitor (ICI) trials largely negative despite underlying immunogenicity. This review takes a clinician-centric, stage-specific view linking regimen choice, treatment line, and tumor-immune context to observed outcomes. In the neoadjuvant and first-line settings, unselected ICI combinations with chemotherapy and anti-angiogenic agents failed to improve progression-free survival, whereas adding a poly (ADP-ribose) polymerase (PARP) inhibitor to ICI maintenance yielded modest gains in biomarker-enriched cohorts. In recurrent disease, single-agent ICIs produced objective response rates of 8-15%, and most randomized combinations were negative. The phase III KEYNOTE-B96 trial in platinum-resistant disease demonstrated a progression-free survival benefit in the intention-to-treat population and an overall survival benefit in tumors with programmed death ligand 1 (PD-L1) combined positive score ≥ 1 when pembrolizumab was paired with weekly paclitaxel with or without bevacizumab, underscoring the value of an immunomodulatory chemotherapy backbone in earlier lines. Ovarian clear cell carcinoma emerges as an immunotherapy-sensitive, chemo-resistant subtype that warrants dedicated stratification. We explain why single-analyte biomarkers-PD-L1, tumor mutational burden, homologous recombination deficiency/BRCA1/2-have not reliably enriched benefit and outline a multidimensional approach integrating genomic scars (e.g., mutational signature 3), immune functional state (Immunoscore, CD8⁺ tumor-infiltrating lymphocyte density and CD8⁺: regulatory T-cell ratio), and spatial architecture (inflamed, excluded, desert phenotypes). This framework aims to move beyond the all-comer era toward context-informed precision immunotherapy in ovarian cancer.

Humans↗

PubMed2026

A 3D in vitro co-culture model to investigate tumor-endothelial interactions in Neurofibromatosis type 2-associated meningiomas.

BACKGROUND: Neurofibromatosis type 2 (NF2)-associated meningiomas and schwannomas are vascular tumors, and while vascular endothelial growth factor (VEGF) inhibition with bevacizumab has benefited some NF2-related schwannomas, most NF2-associated meningiomas remain nonresponsive. METHODS: Leveraging our transcriptomic data, we performed Gene Ontology (GO) analysis comparing NF2-deficient meningioma cells with NF2-expressing arachnoid cells (ACs). We then established a 3D in vitro angiogenesis model by co-culturing NF2-null meningioma cells with human umbilical vein endothelial cells (HUVECs). Endothelial sprouting was assessed by CD31/PECAM immunostaining. Effects of third-generation mechanistic target of rapamycin complex 1 (mTORC1)-selective inhibitor RMC-6272 as well as APLN knock-out using CRISPR-Cas9 gene editing were also examined. RESULTS: GO analysis identified vascular development among the top significantly upregulated pathways in NF2-deficient cells. In 3D co-culture, ECs formed radially sprouting tube-like networks from the spheroid surface, and our data supports an angiogenesis phenotype driven by meningioma cells. Given these results along with hyperactivation of mTORC1 upon NF2-deficiency, we examined whether RMC-6272 disrupts meningioma-driven angiogenesis. RMC-6272 potently suppressed EC sprouting. Cross-referencing baseline transcriptomic data, we identified Apelin (APLN), the ligand for APLN receptor (APLNR), as a basally upregulated angiogenic factor in NF2-deficient meningiomas. Quantitative RT-PCR (qRT-PCR) confirmed increased APLN expression in NF2-null immortalized and patient-derived meningioma lines, with reduced expression upon mTORC1 inhibition. Apelin-13 stimulation enhanced sprouting, whereas APLN deletion reduced endothelial sprouting. CONCLUSIONS: Here we establish a 3D-tumoroid model and implicate tumor-derived Apelin as an important contributor to NF2-associated meningioma angiogenesis. Our data also suggest that APLN expression is regulated, at least in part, by mTORC1. Together, these results provide a preclinical platform for investigating angiogenic vulnerabilities beyond VEGF in NF2-deficient meningiomas.

3D tumoroid model↗

PubMed2025

Integration of Gene Expression and Digital Histology to Predict Treatment-Specific Responses in Breast Cancer.

Deep learning models applied to digital histology can predict gene expression signatures (GES) and offer a low-cost, rapidly available alternative to molecular testing at the time of diagnosis. We optimized transformer-based models to infer GES results and applied this approach to pre-treatment H&E-stained biopsies from 1,940 breast cancer patients treated with neoadjuvant chemotherapy in clinical trial and real-world cohorts. The most predictive histology-derived GES for pathologic complete response (pCR) in the I-SPY2 trial was validated in four external cohorts: CALGB 40601, CALGB 40603, a trial of durvalumab plus CT, and standard-of-care CT-treated patients from the University of Chicago. Among HER2-negative patients, a transformer-based model trained using a signature composed of estrogen-regulated genes, proliferation, apoptosis, and interferon response genes predicted pCR with an AUC of 0.794, outperforming models based on clinical features alone (AUC 0.704, p = 0.001), pathologist TIL assessment, and a model trained directly to predict response from I-SPY2 cases. Tertiles of this signature stratify patients into clinically relevant groups with increasing likelihood of complete response, with pCR rates ≥50% in the top tertile regardless of treatment or hormone receptor status. Additional transformer-based signature models predicted response to specific therapies (but not chemotherapy alone), including a HER2 signaling signature in IO-treated patients, and a claudin-low signature in bevacizumab treated patients. In HER2- cohorts with available gene expression data and histology, models trained on expression data performed similarly to digital histology predictions, but the combination of gene expression and histology outperformed histology alone. These findings suggest that histology-based GES provides additive information to RNA sequencing data and can inform precision treatment selection across breast cancer subtypes.

Journal Article↗

PubMed2025

Artificial intelligence-powered spatial analysis of tumor microenvironment in patients with non-small cell lung cancer with acquired resistance to EGFR tyrosine kinase inhibitor.

PURPOSE: This study evaluated the dynamic changes in the tumor microenvironment (TME) in patients with non-small cell lung cancer (NSCLC) and acquired resistance to epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) using an artificial intelligence (AI)-powered spatial TME analyzer. We then assessed the predictive efficacy of immune-checkpoint inhibitors (ICIs)-based treatment. EXPERIMENTAL DESIGN: An AI-powered whole-slide image analyzer was used to segment cancer areas (CAs) and cancer stroma and to identify tumor-infiltrating lymphocytes (TILs), tertiary lymphoid structures, fibroblasts, and endothelial cells (ECs) in the tumor tissue. We analyzed 143 NSCLC samples after resistance to EGFR-TKIs from two cohorts: (1) 89 patients treated with ICI monotherapy and (2) 54 patients from the ATTLAS phase III trial comparing atezolizumab plus bevacizumab, paclitaxel, and carboplatin (ABCP) versus pemetrexed plus carboplatin. RESULTS: Post-TKI samples showed reduced TILs in the CA (p=0.045) and increased ECs in the CA (p=0.005) compared with pre-TKI samples. These changes differed according to EGFR mutation subtype. Higher TILs in CA were associated with a better overall response rate (ORR) and progression-free survival (PFS). Similarly, higher EC levels in CA correlated with improved ORR and PFS. In the ATTLAS cohort, these factors were associated with clinical benefits from ABCP, with a significant association with TILs and a marginal association with ECs. CONCLUSION: Our findings suggest that EGFR-TKIs affect the immune landscape of patients with EGFR-mutated NSCLC. Higher TILs or ECs in the CA were significantly associated with a favorable response to subsequent ICI-based treatment. TRIAL REGISTRATION NUMBER: NCT03991403.

Aged↗

PubMed2026

Overall survival of immunotherapy versus standard of care in chemorefractory microsatellite stable metastatic colorectal cancer: a propensity score matched analysis of 708 patients.

BACKGROUND: Immune checkpoint inhibitors (ICIs) have limited efficacy in proficient mismatch repair/microsatellite stable (pMMR/MSS) metastatic colorectal cancer (mCRC). However, selected patients with specific metastatic patterns may derive benefit. METHODS: Patients with chemorefractory pMMR/MSS mCRC treated with ICI-based regimens were retrospectively identified. A comparison cohort treated with trifluridine/tipiracil±bevacizumab, regorafenib, or fruquintinib as standard of care (SOC) was generated through 1:1 propensity score matching by age, sex, Eastern Cooperative Oncology Group performance status (ECOG PS), liver metastases (present/absent), and RAS/BRAF status. Overall survival (OS) was compared using Cox regression. RESULTS: A total of 354 patients treated with ICIs and 354 treated with SOC were matched. Median age was 55 years, 52% male, 32% ECOG PS 0, 30% right-sided, and 69% RAS mutated in both groups, while 61% and 60% had liver metastases, respectively. Median OS (mOS) was 10.8 months with ICIs and 9.0 months with SOC (HR 0.76, 95% CI 0.64 to 0.92, p=0.004). In patients without liver metastases, mOS was longer with ICIs than SOC (19.1 vs 13.2 months, HR 0.59, 95% CI 0.43 to 0.80, p<0.001), whereas outcomes were similar in patients with liver metastases (6.4 vs 6.5 months, p=0.303). In univariable analyses, age, sex, primary tumor site, and RAS/BRAF status were not associated with OS. Treatment with ICIs, absence of liver metastases, one prior line of therapy, less than three metastatic sites, and ECOG PS 0 were associated with the most favorable outcomes in univariable and multivariable models. CONCLUSIONS: In chemorefractory pMMR/MSS mCRC without liver metastases, ICI-based regimens yielded longer OS than SOC. Further investigation of ICIs in this patient population is warranted.

Humans↗

PubMed2024

Alternative splicing in ovarian cancer.

Ovarian cancer is the second leading cause of gynecologic cancer death worldwide, with only 20% of cases detected early due to its elusive nature, limiting successful treatment. Most deaths occur from the disease progressing to advanced stages. Despite advances in chemo- and immunotherapy, the 5-year survival remains below 50% due to high recurrence and chemoresistance. Therefore, leveraging new research perspectives to understand molecular signatures and identify novel therapeutic targets is crucial for improving the clinical outcomes of ovarian cancer. Alternative splicing, a fundamental mechanism of post-transcriptional gene regulation, significantly contributes to heightened genomic complexity and protein diversity. Increased awareness has emerged about the multifaceted roles of alternative splicing in ovarian cancer, including cell proliferation, metastasis, apoptosis, immune evasion, and chemoresistance. We begin with an overview of altered splicing machinery, highlighting increased expression of spliceosome components and associated splicing factors like BUD31, SF3B4, and CTNNBL1, and their relationships to ovarian cancer. Next, we summarize the impact of specific variants of CD44, ECM1, and KAI1 on tumorigenesis and drug resistance through diverse mechanisms. Recent genomic and bioinformatics advances have enhanced our understanding. By incorporating data from The Cancer Genome Atlas RNA-seq, along with clinical information, a series of prognostic models have been developed, which provided deeper insights into how the splicing influences prognosis, overall survival, the immune microenvironment, and drug sensitivity and resistance in ovarian cancer patients. Notably, novel splicing events, such as PIGV|1299|AP and FLT3LG|50,941|AP, have been identified in multiple prognostic models and are associated with poorer and improved prognosis, respectively. These novel splicing variants warrant further functional characterization to unlock the underlying molecular mechanisms. Additionally, experimental evidence has underscored the potential therapeutic utility of targeting alternative splicing events, exemplified by the observation that knockdown of splicing factor BUD31 or antisense oligonucleotide-induced BCL2L12 exon skipping promotes apoptosis of ovarian cancer cells. In clinical settings, bevacizumab, a humanized monoclonal antibody that specifically targets the VEGF-A isoform, has demonstrated beneficial effects in the treatment of patients with advanced epithelial ovarian cancer. In conclusion, this review constitutes the first comprehensive and detailed exposition of the intricate interplay between alternative splicing and ovarian cancer, underscoring the significance of alternative splicing events as pivotal determinants in cancer biology and as promising avenues for future diagnostic and therapeutic intervention.

Humans↗

PubMed2025

Efficacy of MET-targeting CAR T cells against glioblastoma patient-derived xenograft models.

BACKGROUND: Genetic alteration of the MET receptor tyrosine kinase frequently occurs in glioblastoma (GBM). Clinically, bevacizumab treatment results in MET signaling activation, leading to GBM recurrence with a more malignant phenotype. While MET has been a promising therapeutic target, MET inhibitors have not been successful in treating GBM patients. MET-directed chimeric antigen receptor (CAR) T cells hold the promise of targeting MET-positive GBM regardless of genetic alterations or kinase activity. METHODS: GBM patient-derived xenografts (PDX) harboring MET amplification (METamp) or PTPRZ-MET fusion (ZM) were propagated in vivo followed by glioma stem cell (GSC) isolation. Cell-based assays were used for comparing GSC survival in response to MET inhibitors and CAR T cells. Multi-panel cytokine release was analyzed to profile MET-CAR T cell activation during co-culture with GBM. Orthotopic tumor growth and real-time imaging were performed to evaluate MET-CAR T cell therapeutic efficacy in vivo. RESULTS: Although GBM are heterogeneous tumors, neuro-sphere cells isolated from METamp or ZM fusion PDX tumors showed universal cognate genetic MET alteration along with GSC markers such as SOX2 and nestin. Both METamp and ZM fusion tumors showed MET overexpression but only the METamp cells presented activated MET signaling which was vulnerable to MET inhibitors. In contrast, MET-CAR T cells specifically inhibited all MET-positive tumor growth regardless of MET activation status. CONCLUSIONS: Whereas MET inhibitors are effective in MET-active tumors, MET-CAR T cells eradicate MET-positive GBM growth in an antigen-dependent manner, demonstrating a promising therapeutic approach for treating MET-positive GBM. MET overexpression, especially METamp and ZM fusion may be used to predefine the GBM patients for treating with MET-CAR T cell therapy.

Glioblastoma↗

PubMed2026

Machine learning prognostic model and drug survival analysis for lung adenocarcinoma in the context of radiotherapy.

BACKGROUND: Patients with lung adenocarcinoma (LUAD) receiving radiotherapy represent an important but underexplored clinical subgroup. These patients often undergo concomitant pharmacologic treatments, yet the prognostic impact and underlying determinants of such combined regimens remain poorly understood. OBJECTIVE: This retrospective observational study aimed to develop and validate a radiotherapy-specific machine learning prognostic model for LUAD and to compare survival across concomitant pharmacologic regimens. METHODS: In this retrospective observational study, using genomic and clinical data from TCGA, a radiotherapy-specific prognostic model for LUAD was developed and validated through ten machine learning algorithms. Survival analyses were conducted across distinct concomitant pharmacologic strategies, followed by functional enrichment to elucidate molecular mechanisms underlying differential outcomes. RESULTS: Demonstrating robust prognostic abilities, the model efficiently sorted patients into high- and low-risk categories. Both treatment type and risk score independently predicted overall survival, with significant interaction effects. Low-risk patients receiving targeted or combination therapy-mainly erlotinib, gefitinib, or bevacizumab-exhibited substantially improved survival compared with those receiving conventional chemotherapy. Enrichment of "Exogenous peptide presentation," "MHC class II assembly," "Peptide-MHC II assembly," and "Symbiotic interaction" pathways indicated immune modulation and host-tumor crosstalk as key mediators of treatment efficacy. CONCLUSION: This study establishes a radiotherapy-specific prognostic model for lung adenocarcinoma, demonstrating distinct molecular and therapeutic heterogeneity and highlighting the superior survival benefit of targeted combination therapy in low-risk patients.

Humans↗

PubMed2026

Clinical predictors of response to atezolizumab/bevacizumab in Child-Pugh B patients with hepatocellular carcinoma.

BACKGROUND & AIMS: We aimed to identify, among patients with advanced hepatocellular carcinoma (HCC) and Child-Pugh B cirrhosis, typically excluded from clinical trials, a subgroup that may benefit from first-line atezolizumab/bevacizumab (A/B). METHODS: We conducted a retrospective international multicenter study including patients with unresectable HCC treated with first-line A/B between 2020 and 2024 across 12 centers. A cohort of Child-Pugh B patients treated with sorafenib served as a control. Baseline clinical, biological, and tumor features were correlated with radiological response, progression-free survival (PFS), and overall survival (OS). RESULTS: Among 1,499 patients, 246 (16.4%) had Child-Pugh B cirrhosis. Within Child-Pugh B, 72% were B7, 21.5% B8, and 6.5% B9; 73% had albumin-bilirubin (ALBI) grade 2 and 27% grade 3. Median OS and PFS were significantly shorter in Child-Pugh B (8.1 and 5.2 months, respectively) vs. Child-Pugh A (16.8 and 8.6 months, respectively; both p <0.001). Two-year OS was 20% for Child-Pugh B vs. 38% for Child-Pugh A. Child-Pugh B patients treated with A/B had longer OS than those treated with sorafenib (p = 0.002). A score combining ALBI grade 1/2 and metastatic status identified prognostic subgroups (10.3 vs. 7.9 vs. 4.2 months; p <0.0001). Improvement to Child-Pugh A occurred in 31% and was associated with recent treatment of underlying liver disease. Radiological response (hazard ratio = 0.58, p = 0.021) and liver function improvement (hazard ratio = 0.59, p = 0.006) correlated with reduced mortality. CONCLUSIONS: Although Child-Pugh B patients have poorer survival, a subgroup, those with ALBI grade 1/2 and no extrahepatic metastasis, can derive meaningful benefit from A/B therapy. Improving underlying liver disease may contribute to better outcomes. IMPACT AND IMPLICATIONS: Child-Pugh B patients with advanced HCC are systematically underrepresented in clinical trials, creating a critical evidence gap for a population frequently encountered in real-world practice. This large multicenter study shows that a subset of these patients, those with ALBI grade 1/2 and without extrahepatic metastases, can have clinically significant benefit from first-line A/B, providing a practical prognostic tool to guide patient selection. Moreover, the association between treatment of the underlying liver disease and Child-Pugh class improvement suggests that optimizing hepatic function alongside systemic therapy may represent an actionable strategy to improve outcomes, warranting prospective validation.

Humans↗