PURPOSE: Replication-competent adenoviruses (Ads) are promising new modalities for the treatment of cancer. Selective replication of a viral agent in tumor may lead to improved efficacy over non-replicating Ads due to viral multiplication, lysis of the infected cancer cell and spread to surrounding cells. In our previous studies it was shown that the E1B 55 kD-deleted Ad (YKL-1) exhibits tumor specific replication and cell lysis, but with reduced cytolytic effects compared to the wild type adenovirus (Int J Cancer 2000;88: 454-463). Thus, improving the potency of oncolytic Ads remains an important goal for cancer gene therapy. To increase the oncolytic ability of YKL-1, an adenovirus death protein (ADP) gene was reintroduced under the control of a CMV or MLP promoter at the E3 region of the YKL-1, generating an YKL-cADP and YKL-mADP, respectively. MATERIALS AND METHODS: The in vitro cytolytic effect of ADP expressing Ads was evaluated by MTT assay, and the induction of apoptosis by ADP expressing Ads was examined by TUNEL analysis. Finally, the antitumor effect of ADP expressing Ads was demonstrated in C33A xenograft tumor model. RESULTS: The YKL-cADP exerted a markedly enhanced cytolytic effect against H460 and SK-Hep1 cancer cell lines. The TUNEL assay indicated that the ADP-mediated cytotoxicity was largely driven by apoptosis. Finally, the YKL-cADP showed a superior antitumor effect than the YKL-1 or YKL-mADP in C33A xenografts. CONCLUSION: These lines of evidence demonstrate that the YKL-cADP induces efficient cell lysis, which is critical for the addition of therapeutic value to replicating Ads in cancer gene therapy.
Adenosine Diphosphate ; Adenoviridae* ; Apoptosis ; Cell Line ; Genes, Neoplasm ; Heterografts ; In Situ Nick-End Labeling

Background: The inflation-deflation (ID) method has long been the standard for intraoperative margin assessment in segmentectomy. However, with advancements in vision technology, the use of near-infrared mapping with indocyanine green (ICG) has become increasingly common. This study was conducted to compare the perioperative outcomes and resection margins achieved using these methods. Methods: This retrospective study included patients who underwent direct segmentectomy for clinical stage I lung cancer between January 2018 and September 2022. We compared perioperative factors, including bronchial and parenchymal resection margins, according to the margin assessment method and the type of segmentectomy performed.Since the ICG approach was adopted in April 2021, we also examined a recent subgroup of patients treated from then onward. Results: A total of 319 segmentectomies were performed. ID and ICG were utilized for 261 (81.8%) and 58 (18.2%) patients, respectively. Following April 2021, 61 patients (51.3%) were treated with ID, while 58 (48.7%) received ICG. We observed no significant difference in resection margins between ID and ICG for bronchial (2.7 cm vs. 2.3 cm, p=0.07) or parenchymal (2.5 cm vs. 2.3 cm, p=0.46) margins. Additionally, the length of hospitalization and the complication rate were comparable between groups. Analysis of the recent subgroup confirmed these findings, showing no significant differences in resection margins (bronchial: 2.6 cm vs. 2.3 cm, p=0.25; parenchymal: 2.4 cm vs. 2.3 cm, p=0.75), length of hospitalization, or complication rate. Conclusion The perioperative outcomes and resection margins achieved using ID and ICG were comparable, suggesting that both methods can safely guide segmentectomy procedures.

Background: The inflation-deflation (ID) method has long been the standard for intraoperative margin assessment in segmentectomy. However, with advancements in vision technology, the use of near-infrared mapping with indocyanine green (ICG) has become increasingly common. This study was conducted to compare the perioperative outcomes and resection margins achieved using these methods. Methods: This retrospective study included patients who underwent direct segmentectomy for clinical stage I lung cancer between January 2018 and September 2022. We compared perioperative factors, including bronchial and parenchymal resection margins, according to the margin assessment method and the type of segmentectomy performed.Since the ICG approach was adopted in April 2021, we also examined a recent subgroup of patients treated from then onward. Results: A total of 319 segmentectomies were performed. ID and ICG were utilized for 261 (81.8%) and 58 (18.2%) patients, respectively. Following April 2021, 61 patients (51.3%) were treated with ID, while 58 (48.7%) received ICG. We observed no significant difference in resection margins between ID and ICG for bronchial (2.7 cm vs. 2.3 cm, p=0.07) or parenchymal (2.5 cm vs. 2.3 cm, p=0.46) margins. Additionally, the length of hospitalization and the complication rate were comparable between groups. Analysis of the recent subgroup confirmed these findings, showing no significant differences in resection margins (bronchial: 2.6 cm vs. 2.3 cm, p=0.25; parenchymal: 2.4 cm vs. 2.3 cm, p=0.75), length of hospitalization, or complication rate. Conclusion The perioperative outcomes and resection margins achieved using ID and ICG were comparable, suggesting that both methods can safely guide segmentectomy procedures.

Background: The inflation-deflation (ID) method has long been the standard for intraoperative margin assessment in segmentectomy. However, with advancements in vision technology, the use of near-infrared mapping with indocyanine green (ICG) has become increasingly common. This study was conducted to compare the perioperative outcomes and resection margins achieved using these methods. Methods: This retrospective study included patients who underwent direct segmentectomy for clinical stage I lung cancer between January 2018 and September 2022. We compared perioperative factors, including bronchial and parenchymal resection margins, according to the margin assessment method and the type of segmentectomy performed.Since the ICG approach was adopted in April 2021, we also examined a recent subgroup of patients treated from then onward. Results: A total of 319 segmentectomies were performed. ID and ICG were utilized for 261 (81.8%) and 58 (18.2%) patients, respectively. Following April 2021, 61 patients (51.3%) were treated with ID, while 58 (48.7%) received ICG. We observed no significant difference in resection margins between ID and ICG for bronchial (2.7 cm vs. 2.3 cm, p=0.07) or parenchymal (2.5 cm vs. 2.3 cm, p=0.46) margins. Additionally, the length of hospitalization and the complication rate were comparable between groups. Analysis of the recent subgroup confirmed these findings, showing no significant differences in resection margins (bronchial: 2.6 cm vs. 2.3 cm, p=0.25; parenchymal: 2.4 cm vs. 2.3 cm, p=0.75), length of hospitalization, or complication rate. Conclusion The perioperative outcomes and resection margins achieved using ID and ICG were comparable, suggesting that both methods can safely guide segmentectomy procedures.

Background: The inflation-deflation (ID) method has long been the standard for intraoperative margin assessment in segmentectomy. However, with advancements in vision technology, the use of near-infrared mapping with indocyanine green (ICG) has become increasingly common. This study was conducted to compare the perioperative outcomes and resection margins achieved using these methods. Methods: This retrospective study included patients who underwent direct segmentectomy for clinical stage I lung cancer between January 2018 and September 2022. We compared perioperative factors, including bronchial and parenchymal resection margins, according to the margin assessment method and the type of segmentectomy performed.Since the ICG approach was adopted in April 2021, we also examined a recent subgroup of patients treated from then onward. Results: A total of 319 segmentectomies were performed. ID and ICG were utilized for 261 (81.8%) and 58 (18.2%) patients, respectively. Following April 2021, 61 patients (51.3%) were treated with ID, while 58 (48.7%) received ICG. We observed no significant difference in resection margins between ID and ICG for bronchial (2.7 cm vs. 2.3 cm, p=0.07) or parenchymal (2.5 cm vs. 2.3 cm, p=0.46) margins. Additionally, the length of hospitalization and the complication rate were comparable between groups. Analysis of the recent subgroup confirmed these findings, showing no significant differences in resection margins (bronchial: 2.6 cm vs. 2.3 cm, p=0.25; parenchymal: 2.4 cm vs. 2.3 cm, p=0.75), length of hospitalization, or complication rate. Conclusion The perioperative outcomes and resection margins achieved using ID and ICG were comparable, suggesting that both methods can safely guide segmentectomy procedures.

PURPOSE: The aim of this study was to evaluate the applicability of machine learning methods that combine data on age and prostate-specific antigen (PSA) levels for predicting prostate cancer. MATERIALS AND METHODS: We analyzed 943 patients who underwent transrectal ultrasonography (TRUS)-guided prostate biopsy at Chungnam National University Hospital between 2014 and 2018 because of elevated PSA levels and/or abnormal digital rectal examination and/or TRUS findings. We retrospectively reviewed the patients’ medical records, analyzed the prediction rate of prostate cancer, and identified 20 feature importances that could be compared with biopsy results using 5 different algorithms, viz., logistic regression (LR), support vector machine, random forest (RF), extreme gradient boosting, and light gradient boosting machine. RESULTS: Overall, the cancer detection rate was 41.8%. In patients younger than 75 years and with a PSA level less than 20 ng/mL, the best prediction model for prostate cancer detection was RF among the machine learning methods based on LR analysis. The PSA density was the highest scored feature importances in the same patient group. CONCLUSIONS: These results suggest that the prediction rate of prostate cancer using machine learning methods not inferior to that using LR and that these methods may increase the detection rate for prostate cancer and reduce unnecessary prostate biopsy, as they take into consideration feature importances affecting the prediction rate for prostate cancer.
Biopsy ; Chungcheongnam-do ; Digital Rectal Examination ; Forests ; Humans ; Logistic Models ; Machine Learning ; Medical Records ; Prostate ; Prostate-Specific Antigen ; Prostatic Neoplasms ; Retrospective Studies ; Support Vector Machine ; Ultrasonography