Exposure to a Postoperative Hypercoagulable State Predicts Poor Prognosis After Transthoracic Esophagectomy in Patients with Esophageal Cancer

Extracellular vesicles, hyperadhesive von willebrand factor, and outcomes of gastric cancer: a clinical observational study

Von Willebrand factor (VWF) is an adhesive ligand critical for maintaining hemostasis. However, it has also been increasingly recognized for its role in cancer development because it has been shown to mediate the adhesion of cancer cells to endothelial cells, promote the epithelial-mesenchymal transition, and enhance angiogenesis. We have previously shown that gastric cancer cells synthesize VWF, which mediates the interaction between the cancer and endothelial cells to promote cancer growth. Here, we report results from a clinical observational study that demonstrate the association of VWF in plasma and on the surface of extracellular vesicles (EVs) with the pathological characteristics of gastric cancer. We found that patients with gastric cancer had elevated and intrinsically hyperadhesive VWF in their peripheral blood samples. VWF was detected on the surface of EVs from cancer cells, platelets, and endothelial cells. Higher levels of these VWF-bound EVs were associated with cancer aggression and poor clinical outcomes for patients. These findings suggest that VWF⁺ EVs from different cell types serve collectively as a new class of biomarkers for the outcome assessment of gastric cancer patients.

Evaluation of Endoscopic Response Using Deep Neural Network in Esophageal Cancer Patients Who Received Neoadjuvant Chemotherapy

BACKGROUND

We previously reported that endoscopic response evaluation can preoperatively predict the prognosis and distribution of residual tumors after neoadjuvant chemotherapy (NAC). In this study, we developed artificial intelligence (AI)-guided endoscopic response evaluation using a deep neural network to discriminate endoscopic responders (ERs) in patients with esophageal squamous cell carcinoma (ESCC) after NAC.

METHOD

Surgically resectable ESCC patients who underwent esophagectomy following NAC were retrospectively analyzed in this study. Endoscopic images of the tumors were analyzed using a deep neural network. The model was validated with a test data set using 10 newly collected ERs and 10 newly collected non-ER images. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the endoscopic response evaluation by AI and endoscopists were calculated and compared.

RESULTS

Of 193 patients, 40 (21%) were diagnosed as ERs. The median sensitivity, specificity, PPV, and NPV values for ER detection in 10 models were 60%, 100%, 100%, and 71%, respectively. Similarly, the median values by the endoscopist were 80%, 80%, 81%, and 81%, respectively.

CONCLUSION

This proof-of-concept study using a deep learning algorithm demonstrated that the constructed AI-guided endoscopic response evaluation after NAC could identify ER with high specificity and PPV. It would appropriately guide an individualized treatment strategy that includes an organ preservation approach in ESCC patients.

Old age and intense chemotherapy exacerbate negative prognostic impact of postoperative complication on survival in patients with esophageal cancer who received neoadjuvant therapy: a nationwide study from 85 Japanese esophageal centers

BACKGROUND

The prognostic impact of docetaxel, cisplatin, and 5-FU (DCF) reported in JCOG1109 was successfully validated using real-world data in patients < 75 years old. However, DCF was not reported to be beneficial in elderly patients with a relatively higher postoperative complication incidence. This study aimed to clarify the impact of postoperative complications on the prognosis of ESCC and the difference in the magnitude of the impact by age and regimen.

METHODS

Patients with esophageal squamous cell carcinoma (ESCC) who underwent subtotal esophagectomy at 85 authorized institutes were retrospectively reviewed from 2010 to 2015. The prognostic impact of postoperative anastomotic leakage (AL) and pneumonia on survival was evaluated. The prognostic value of the postoperative complications was assessed by stratifying patients according to age and neoadjuvant chemotherapy regimen.

RESULTS

Patients with AL, pneumonia, and infectious complications (ICs: a combination of pneumonia and AL) showed significantly worse overall survival (OS). IC served as a negative prognostic factor of OS and recurrence-free survival, and its negative prognostic impact was more evident in patients aged > 75 years. When the patients were further stratified by chemotherapeutic regimens, using the CF/IC(-) group as a reference, the DCF/IC (+) group showed significantly shorter OS in patients aged > 75 years with a hazard ratio (HR) of 2.551. The HR of the CF/IC (+) group was 1.503.

CONCLUSIONS

The negative impact of postoperative complications on survival was confirmed in this nationwide study. Furthermore, its magnitude was higher in elderly patients who received triplet chemotherapy.