Gastric Cancer最新文献

Background: Trastuzumab-deruxtecan (T-DXd) was approved for the treatment of HER2-positive patients with advanced gastric cancer in Japan based on the results of the DESTINY-Gastric01 trial. This study aimed to collect real-world data and evaluate the effectiveness and safety of T-DXd.

Methods: Patients aged ≥ 20 years at the start of T-DXd administration with a histopathologically confirmed diagnosis of HER2-positive unresectable advanced or recurrent gastric or gastroesophageal junction (GEJ) adenocarcinoma that had worsened after chemotherapy were enrolled in this retrospective cohort study. Key outcomes included T-DXd treatment status, overall survival (OS), real-world progression-free survival (rwPFS), time to treatment failure (TTF), objective response rate and frequency of grade ≥ 3 adverse events (AEs).

Results: Of the 312 patients included in the analysis, 75.3% were male, the median (range) age was 70.0 (27.0-89.0) years, 12.2% had an ECOG PS ≥ 2, 43.3% had ascites and the initial T-DXd dose was > 5.4- ≤ 6.4 mg/kg in 78.2% of patients. The median (95% confidence interval) OS, rwPFS and TTF (months) was 8.9 (8.0-11.0), 4.6 (4.0-5.1) and 3.9 (3.4-4.2), respectively. The response rate was 42.9% in patients with a target lesion. In total, 48.4% of patients experienced a grade ≥ 3 AE, 2.6% experienced grade 5 AEs and 60.9% experienced AEs leading to T-DXd dose adjustments (reduction: 36.9%, interruption: 34.0% or discontinuation: 23.7%). No new safety signals were detected.

Conclusions: T-DXd was effective and had a manageable safety profile as a third- or later-line treatment for patients with HER2-positive gastric or GEJ cancer in Japanese clinical practice.

Clinical trial registration: UMIN000049032.

Background: Late effects of chemotherapy could affect mortality amongst cancer survivors. This study aimed to clarify if neoadjuvant chemotherapy for gastric adenocarcinoma influences the long-term survival in individuals cured of this tumour.

Methods: This was a nationwide and population-based cohort study that included all individuals who underwent gastrectomy for gastric adenocarcinoma in Sweden between 2006 and 2015 and survived for ≥ 5 years after surgery. The cohort was followed up until death or end of study period (31 December 2020). Multivariable Cox proportional hazards regression was used to provide hazard ratios (HR) with 95% confidence intervals (CI). The HR were adjusted for age, sex, comorbidity, education, calendar year, tumour sub-location, in-hospital complications, and splenectomy. Data came from medical records and nationwide registers.

Results: Amongst 613 gastric adenocarcinoma survivors, neoadjuvant chemotherapy (used in 269 patients; 43.9%) was associated with a decreased crude mortality rate (HR 0.66, 95% CI 0.46-0.96). However, the association attenuated and became statistically non-significant after adjustment for all confounders (HR 0.83, 95% CI 0.56-1.23) and after adjustments solely for age and comorbidity (HR 0.82, 95% CI 0.56-1.20). Stratified analyses did not reveal any statistically significant associations between neoadjuvant chemotherapy and long-term mortality in categories of age, sex, comorbidity, calendar year and tumour sub-location.

Conclusion: Neoadjuvant chemotherapy did not decrease the long-term survival amongst gastric adenocarcinoma survivors. Patients who received neoadjuvant chemotherapy were a selected group characterised by younger age and fewer severe comorbidities and therefore with better chances of long-term survival.

Background: Gastric and gastroesophageal junction (GEJ) cancer represents a significant global health challenge, with high recurrence rates and poor survival outcomes. This study investigates circulating tumor DNA (ctDNA) as a biomarker for assessing recurrence risk in patients with resectable gastric and GEJ adenocarcinomas (AC).

Methods: Patients with resectable gastric and GEJ AC, undergoing perioperative chemotherapy and surgery, were prospectively enrolled. Serial plasma samples were collected at baseline, after one cycle of chemotherapy, after preoperative chemotherapy, and after surgery. ctDNA was assessed by a ddPCR test (TriMeth), which targets the gastrointestinal cancer-specific methylation patterns of the genes C9orf50, KCNQ5, and CLIP4.

Results: ctDNA analysis was performed on 229 plasma samples from 86 patients. At baseline, ctDNA was detected in 56% of patients, which decreased to 37% following one cycle of chemotherapy, 25% after preoperative chemotherapy and 15% after surgical resection. The presence of ctDNA after one cycle of chemotherapy was associated with reduced recurrence-free survival (RFS) (HR = 2.54, 95% confidence interval (CI) 1.33-4.85, p = 0.005) and overall survival (OS) (HR = 2.23, 95% CI 1.07-4.62, p = 0.032). Similarly, ctDNA after surgery was associated with significantly shorter RFS (HR = 6.22, 95% CI 2.39-16.2, p < 0.001) and OS (HR = 6.37, 95% CI 2.10-19.3, p = 0.001). Multivariable regression analysis confirmed ctDNA after surgery as an independent prognostic factor (p < 0.001).

Conclusion: ctDNA analysis has the potential to identify patients at elevated risk of recurrence, thus providing personalized treatment strategies for patients with resectable gastric and GEJ cancer. Further validation in larger cohorts and ctDNA-guided interventions are needed for future clinical use.

Background: Gastric neuroendocrine carcinomas (NECs) are rare cancers with highly aggressive behavior. Although tertiary lymphoid structures (TLSs) are well-known prognostic factors in various cancers, their role in gastric NECs remain unexplored. Unique immunohistochemical subtypes of pulmonary NECs have been discovered, however, their feasibility in gastric NECs is unknown.

Methods: The presence and maturation of TLSs (lymphoid aggregates, primary and secondary follicles) were assessed in 48 surgically resected gastric NECs and were compared with immunohistochemical subtypes, using a panel of ASCL1, NeuroD1, POU2F3, YAP1, and DLL3 with three neuroendocrine (NE) markers.

Results: Patients with secondary follicles had significantly better overall survival (OS) and recurrence-free survival (RFS; both, p = 0.004) than those without them. Based on the hierarchical clustering, gastric NECs were classified into all low/negative (31%), high-YAP1 (19%), high-DLL3/low-NE (29%), and high-NE (21%) expression groups. The high-DLL3/low-NE group was associated with absent TLSs (p = 0.026) and showed the worst OS (p = 0.026). Distant metastasis and a lack of secondary follicles were poor independent prognostic factors of OS and RFS.

Conclusion: The assessment of TLSs is a feasible and potent biomarker for gastric NECs, thus enabling better prognosis and more effective immunotherapy. Furthermore, gastric NECs can be categorized as four immunohistochemically distinct groups, of which the high-DLL3/low-NE group has the worst OS with lack of TLSs.

Background: Gastric cancer is a common malignancy with a high incidence in East Asia. Gastric resection ranges from endoscopic resection to open total gastrectomy. However, nationwide data are lacking.

Methods: This observational study analyzed data from the publicly accessible National Database of Health Insurance Claims and Specific Health Checkups, which includes most national health insurance claims data in Japan. Trends in the types of resection performed for malignant gastric tumors between 2014 and 2021, patients' age and sex distributions, and regional disparities were investigated.

Results: The annual number of resections was highest in 2015 (109,000) and lowest in 2020 (90,000) after the COVID-19 pandemic. The proportion of endoscopic resections increased from 47% in 2014 to 57% in 2021 while that of total gastrectomies decreased from 17 to 10%. In 2021, 70% of patients who underwent resection were men. That year, 83.8% of all patients who underwent any type of gastric resection and 87.1% of those who underwent endoscopic submucosal dissection were aged ≥ 65 years. The annual incidence of gastric resection per million population was highest in Tottori (n = 1236) and lowest in Okinawa (n = 251). The proportion of endoscopic resections was highest in Miyagi (66%) and lowest in Aichi (45%) and that of open surgery was highest in Aomori (36%) and lowest in Wakayama (5%).

Conclusions: Gastric malignancy is increasingly treated by endoscopic submucosal dissection rather than open total gastrectomy. However, regional disparities remain in resection type. Standardization of treatment and a more even distribution of specialists are needed.

Background

Lipolysis-stimulated lipoprotein receptor (LSR), a lipid receptor, is associated with cancer progression. However, detailed effects on intracellular metabolism are unclear. We aimed to elucidate the mechanism of LSR-mediated lipid metabolism in gastric cancer.

Methods

We investigated lipid metabolic changes induced by lipoprotein administration in gastric cancer cells and evaluated the significance of LSR expression and lipid droplets formation in gastric cancer patients. The efficacy of inhibiting β-oxidation in gastric cancer cells was also examined in vitro and vivo.

Results

In gastric cancer cells, LSR promoted cellular uptake of lipoprotein and cell proliferation. Furthermore, the inhibition of LSR in gastric cancer cells expressing high levels of LSR counteracted both effects. Immunohistochemical analysis of human gastric cancer tissues showed that the increase in lipid droplets via LSR is a factor that influences prognosis. Lipidomics analysis of LSR-high-expressing gastric cancer cells revealed an increase in β-oxidation. Based on these results, we used etomoxir, a β-oxidation inhibitor, and found that it inhibited cell proliferation as well as the suppression of LSR. Similarly, in a mouse xenograft model of LSR-highly expressing gastric cancer cells, the tumor growth effect of high-fat diet feeding was counteracted by etomoxir, consistent with the Ki-67 labeling index.

Conclusions

We demonstrated that lipids are taken up into gastric cancer cells via LSR and cause an increase in β-oxidation, resulting in the promotion of cancer progression. Controlling LSR-mediated lipid metabolism may be a novel therapeutic strategy for gastric cancer.

The article by Shin et al. provides valuable insights into the correlation between the gastric mucosa-associated gastric microbiome (MAM) and metachronous recurrence. However, the use of the Cox proportional hazards model in their analysis presents several limitations. The study may result in mixed censoring outcomes, and the assumption of constant hazard ratios over time may not hold. Considering these limitations, future research should adopt alternative approaches, such as the accelerated failure time (AFT) model, to provide a more comprehensive understanding of the relationship between gastric MAM and metachronous recurrence.

Background

Accurate prediction of peritoneal recurrence for gastric cancer (GC) is crucial in clinic. The collagen alterations in tumor microenvironment affect the migration and treatment response of cancer cells. Herein, we proposed multitask machine learning-based tumor-associated collagen signatures (TACS), which are composed of quantitative collagen features derived from multiphoton imaging, to simultaneously predict peritoneal recurrence (TACS_PR) and disease-free survival (TACS_DFS).

Methods

Among 713 consecutive patients, with 275 in training cohort, 222 patients in internal validation cohort, and 216 patients in external validation cohort, we developed and validated a multitask machine learning model for simultaneously predicting peritoneal recurrence (TACS_PR) and disease-free survival (TACS_DFS). The accuracy of the model for prediction of peritoneal recurrence and prognosis as well as its association with adjuvant chemotherapy were evaluated.

Results

The TACS_PR and TACS_DFS were independently associated with peritoneal recurrence and disease-free survival in three cohorts, respectively (all P < 0.001). The TACS_PR demonstrated a favorable performance for peritoneal recurrence in all three cohorts. In addition, the TACS_DFS also showed a satisfactory accuracy for disease-free survival among included patients. For stage II and III diseases, adjuvant chemotherapy improved the survival of patients with low TACS_PR and low TACS_DFS, or high TACS_PR and low TACS_DFS, or low TACS_PR and high TACS_DFS, but had no impact on patients with high TACS_PR and high TACS_DFS.

Conclusions

The multitask machine learning model allows accurate prediction of peritoneal recurrence and survival for GC and could distinguish patients who might benefit from adjuvant chemotherapy.