British Journal of Cancer

BackgroundRedox signaling caused by knockdown (KD) of Glutathione Peroxidase 2 (GPx2) in the PyMT mammary tumour model promotes metastasis via phenotypic and metabolic reprogramming. However, the tumour cell subpopulations and transcriptional regulators governing these processes remained unknown.MethodsWe used single-cell transcriptomics to decipher the tumour cell subpopulations stimulated by GPx2 KD in the PyMT mammary tumour and paired pulmonary metastases. We analyzed the EMT spectrum across the various tumour cell clusters using pseudotime trajectory analysis and elucidated the transcriptional and metabolic regulation of the hybrid EMT state.ResultsIntegration of single-cell transcriptomics between the PyMT/GPx2 KD primary tumour and paired lung metastases unraveled a basal/mesenchymal-like cluster and several luminal-like clusters spanning an EMT spectrum. Interestingly, the luminal clusters at the primary tumour gained mesenchymal gene expression, resulting in epithelial/mesenchymal subpopulations fueled by oxidative phosphorylation (OXPHOS) and glycolysis. By contrast, at distant metastasis, the basal/mesenchymal-like cluster gained luminal and mesenchymal gene expression, resulting in a hybrid subpopulation using OXPHOS, supporting adaptive plasticity. Furthermore, p63 was dramatically upregulated in all hybrid clusters, implying a role in regulating partial EMT and MET at primary and distant sites, respectively. Importantly, these effects were reversed by HIF1α loss or GPx2 gain of function, resulting in metastasis suppression.ConclusionsCollectively, these results underscored a dramatic effect of redox signaling on p63 activation by HIF1α, underlying phenotypic and metabolic plasticity leading to mammary tumour metastasis.

doi: 10.1038/s41416-024-02575-0pmid: 38238428

BackgroundThe diagnosis of follicular thyroid carcinoma (FTC) prior to surgery remains a major challenge in the clinic.MethodsThis multicentre diagnostic study involved 41 and 150 age- and sex-matched patients in the training cohort and validation cohort, respectively. The diagnostic properties of circulating small extracellular vesicle (sEV)-associated and cell-free RNAs were compared by RNA sequencing in the training cohort. Subsequently, using a quantitative real-time polymerase chain reaction (qRT‒PCR) assay, high-quality candidates were identified to construct an RNA classifier for FTC and verified in the validation cohort. The parallel expression, stability and influence of the RNA classifier on surgical strategy were also investigated.ResultsThe diagnostic properties of sEV long RNAs, cell-free long RNAs and sEV microRNAs (miRNAs) were comparable and superior to those of cell-free miRNAs in RNA sequencing. Given the clinical application, the circulating sEV miRNA (CirsEV-miR) classifier was developed from five miRNAs based on qRT‒PCR data, which could well identify FTC patients (area under curve [AUC] of 0.924 in the training cohort and 0.844 in the multicentre validation cohort). Further tests revealed that the CirsEV-miR score was significantly correlated with the tumour burden, and the levels of sEV miRNAs were also higher in sEVs from the FTC cell line, organoid and tissue. Additionally, circulating sEV miRNAs remained constant after different treatments, and the addition of the CirsEV-miR classifier as a biomarker improves the current surgical strategy.ConclusionsThe CirsEV-miR classifier could serve as a noninvasive, convenient, specific and stable auxiliary test to help diagnose FTC following ultrasonography.

doi: 10.1038/s41416-024-02578-xpmid: 38243011

BackgroundSeveral diagnostic prediction models to help clinicians discriminate between benign and malignant adnexal masses are available. This study is a head-to-head comparison of the performance of the Assessment of Different NEoplasias in the adneXa (ADNEX) model with that of the Risk of Ovarian Malignancy Algorithm (ROMA).MethodsThis is a retrospective study based on prospectively included consecutive women with an adnexal tumour scheduled for surgery at five oncology centres and one non-oncology centre in four countries between 2015 and 2019. The reference standard was histology. Model performance for ADNEX and ROMA was evaluated regarding discrimination, calibration, and clinical utility.ResultsThe primary analysis included 894 patients, of whom 434 (49%) had a malignant tumour. The area under the receiver operating characteristic curve (AUC) was 0.92 (95% CI 0.88–0.95) for ADNEX with CA125, 0.90 (0.84–0.94) for ADNEX without CA125, and 0.85 (0.80–0.89) for ROMA. ROMA, and to a lesser extent ADNEX, underestimated the risk of malignancy. Clinical utility was highest for ADNEX. ROMA had no clinical utility at decision thresholds <27%.ConclusionsADNEX had better ability to discriminate between benign and malignant adnexal tumours and higher clinical utility than ROMA.Clinical trial registrationclinicaltrials.gov NCT01698632 and NCT02847832.

BackgroundOCTOVA compared the efficacy of olaparib (O) versus weekly paclitaxel (wP) or olaparib + cediranib (O + C) in recurrent ovarian cancer (OC).AimsThe main aim of the OCTOVA trial was to determine the progression-free survival (PFS) of olaparib (O) versus the oral combination of olaparib plus cediranib (O + C) and weekly paclitaxel (wP) in recurrent ovarian cancer (OC).MethodsIn total, 139 participants who had relapsed within 12 months of platinum therapy were randomised to O (300 mg twice daily), wP (80 mg/m2 d1,8,15, q28) or O + C (300 mg twice daily/20 mg daily, respectively). The primary endpoint was progression-free survival (PFS) of olaparib (O) versus olaparib plus cediranib (O + C) or weekly paclitaxel (wP). The sample size was calculated to observe a PFS hazard ratio (HR) 0.64 in favour of O + C compared to O (20% one-sided type I error, 80% power).ResultsThe majority had platinum-resistant disease (90%), 22% prior PARPi, 34% prior anti-angiogenic therapy, 30% germline BRCA1/2 mutations. The PFS was increased for O + C vs O (O + C 5.4 mo (2.3, 9.6): O 3.7 mo (1.8, 7.6) HR = 0.73; 60% CI: 0.59, 0.89; P = 0.1) and no different between wP and O (wP 3.9 m (1.9, 9.1); O 3.7 mo (1.8, 7.6) HR = 0.89, 60% CI: 0.72, 1.09; P = 0.69). The main treatment-related adverse events included manageable diarrhoea (4% Grade 3) and hypertension (4% Grade 3) in the O + C arm.DiscussionOCTOVA demonstrated the activity of O + C in women with recurrent disease, offering a potential non-chemotherapy option.Trial registrationISRCTN14784018, registered on 19th January 2018 http://www.isrctn.com/ISRCTN14784018.

BackgroundAccurate estimation of the long-term risk of recurrence in patients with non-metastatic colorectal cancer (CRC) is crucial for clinical management. Histology-based deep learning is expected to provide more abundant information for risk stratification.MethodsWe developed and validated a weakly supervised deep-learning model for predicting 5-year relapse-free survival (RFS) to stratify patients with different risks based on histological images from three hospitals of 614 cases with non-metastatic CRC. A deep prognostic factor (DL-RRS) was established to stratify patients into high and low-risk group. The areas under the curve (AUCs) were calculated to evaluate the performances of models.ResultsOur proposed model achieves the AUCs of 0.833 (95% CI: 0.736–0.905) and 0.715 (95% CI: 0.647–0.776) on validation cohort and external test cohort, respectively. The 5-year RFS rate was 45.7% for high DL-RRS patients, and 82.5% for low DL-RRS patients respectively in the external test cohort (HR: 3.89, 95% CI: 2.51–6.03, P < 0.001). Adjuvant chemotherapy was associated with improved RFS in Stage II patients with high DL-RRS (HR: 0.15, 95% CI: 0.06–0.38, P < 0.001).ConclusionsDL-RRS has a good predictive performance of 5-year recurrence risk in CRC, and will better serve the clinical decision-making.

doi: 10.1038/s41416-024-02585-ypmid: 38272963

BackgroundInterindividual pharmacokinetic variability may influence the clinical benefit or toxicity of cabozantinib in metastatic renal cell carcinoma (mRCC). We aimed to investigate the exposure-toxicity and exposure-response relationship of cabozantinib in unselected mRCC patients treated in routine care.MethodsThis ambispective multicenter study enrolled consecutive patients receiving cabozantinib in monotherapy. Steady-state trough concentration (Cmin,ss) within the first 3 months after treatment initiation was used for the PK/PD analysis with dose-limiting toxicity (DLT) and survival outcomes. Logistic regression and Cox proportional-hazards models were used to identify the risk factors of DLT and inefficacy in patients, respectively.ResultsSeventy-eight mRCC patients were eligible for the statistical analysis. Fifty-two patients (67%) experienced DLT with a median onset of 2.1 months (95%CI 0.7–8.2). In multivariate analysis, Cmin,ss was identified as an independent risk factor of DLT (OR 1.46, 95%CI [1.04–2.04]; p = 0.029). PFS and OS were not statistically associated with the starting dose (p = 0.81 and p = 0.98, respectively). In the multivariate analysis of PFS, Cmin, ss > 336 ng/mL resulted in a hazard ratio of 0.28 (95%CI, 0.10–0.77, p = 0.014). By contrast, Cmin, ss > 336 ng/mL was not statistically associated with longer OS.ConclusionEarly plasma drug monitoring may be useful to optimise cabozantinib treatment in mRCC patients treated in monotherapy, especially in frail patients starting at a lower than standard dose.