Oncology最新文献

Introduction: As the incidence of gastric cancer (GC) is increasing in East Asia including Japan, a simple blood test for early GC is needed as an alternative to upper gastrointestinal (UGI) endoscopy. We performed this study to address this issue.

Methods: We collected serum samples from 319 participants comprising 225 healthy subjects without GC (control group) and 94 patients with early GC (early GC group). After evaluating copy numbers of serum hTERT and methylated RUNX3 (m-RUNX3) using the combined restriction digital PCR (CORD) assay, which we developed, we assessed the diagnostic performance of hTERT and m-RUNX3 for early GC.

Results: Serum levels of hTERT and m-RUNX3 were significantly higher in the early GC group than in the control group. The area under the curve (AUC) was 0.89 for hTERT and 0.78 for m-RUNX3. Multivariate logistic regression analysis revealed age, sex, hTERT copy number, and m-RUNX3 copy number to be independent factors for early GC. We then established a prediction formula and named it the ASTEm-R3 (Age, Sex, hTERT, and m-RUNX3) index. The AUC of the ASTEm-R3 index was 0.93 with a sensitivity of 79.7% and specificity of 91.1%.

Conclusion: We demonstrated excellent performance of the ASTEm-R3 index using the CORD assay to detect early GC. This index might be a promising alternative to UGI endoscopy.

Introduction: Pancreatic ductal adenocarcinoma (PDAC) has the lowest survival rate among all major cancers due to a lack of symptoms in early stages, early detection tools, and optimal therapies for late-stage patients. Thus, an early diagnosis of PDAC is critical. Recently, circulating miRNAs have been reported to be altered in PDAC. They are promising biomarkers because of stability in the blood, ease of non-invasive detection, and convenient screening methods. This study aims to use blood-based miRNA biomarkers and various analysis methods in the development of a machine-learning (ML) model for PDAC.

Methods: Blood-based miRNAs associated with PDAC were collected from open sources. miRNA sequences, targeted genes, and involved pathways were used to construct a set of descriptors for an ML model.

Results: Bioinformatics analysis revealed that most genes in pancreatic cancer and insulin signaling pathways were targeted by the PDAC-related miRNAs. The best performing ML model with the Random Forest classifier was able to achieve an accuracy of 88.4%. Model evaluations of an independent PDAC-associated miRNAs test set had 100% accuracy while non-cancer miRNAs had 52.4% accuracy, indicating specificity to PDAC.

Conclusions: Our results suggest an ML model developed using blood-based miRNA biomarkers' target gene, pathway, and sequence features could be implicated in PDAC diagnostics.

Introduction: Nivolumab plus ipilimumab combination therapy has been administered as a first-line treatment in Japan since 2022 for patients with unresectable progressive or recurrent esophageal cancer. The efficacy and safety of this immune checkpoint inhibitor (ICI) doublet therapy is now being evaluated, and it is necessary to identify populations that benefit from this treatment at an early phase after initiation. For patients not showing early benefit, changing as soon as possible to other therapeutic strategies could improve their survival outcomes. Therefore, we attempted to identify decision-making factors such as early tumor shrinkage (ETS) based on treatment experience with ICI doublet therapy.

Methods: The study included 19 patients who received nivolumab plus ipilimumab for non-surgically indicated or recurrent esophageal cancer between July 2022 and November 2023. Tumors were assessed approximately every 2 months after treatment initiation. The effects of ETS, depth of response (DpR), and clinicopathologic features, including immune-related adverse events (irAEs), on progression-free and overall survival were evaluated using Kaplan-Meyer plots and Cox proportional hazard models.

Results: The mean duration of ICI doublet administration was 5.89 months (range, 1-16 months). At first evaluation, patients who exhibited no tumor progression >20% indicated possible response to ICI doublet therapy, and patients whose tumors shrank even minimally exhibited favorable progression-free survival. Higher DpR at any cut-off line exhibited better progression-free survival than those with lower DpR. Fifteen patients experienced irAEs, with 13 of these patients experiencing irAEs within 3 months of treatment initiation. irAEs were associated with the efficacy of ICI doublet therapy, but efficacy could not be predicted based on early irAE experience.

Conclusion: ETS-high, DpR-high, and irAEs might be associated with favorable responses to nivolumab plus ipilimumab. As a predictor of efficacy at an early phase, ETS >0% could be a deciding factor for continuing ICI doublet therapy.