OBJECTIVE: This study aims to evaluate the perioperative and midterm oncological outcomes of robotic-assisted thoracic surgery (RATS) extended thymectomy for patients with large resectable thymomas compared to small thymomas.
METHODS: This retrospective single-center study included 204 thymoma patients who underwent RATS extended thymectomy between January 2003 and February 2024. Patients were divided into two groups based on the thymoma size (5cm threshold).
RESULTS: The study comprised 114 patients (55.9%) in the small thymoma (ST) group and 90 patients (44.1%) in the large thymoma (LT) group. No significant differences were found between the groups regarding gender, age, proportion of elderly patients, or pathologic high-risk classifications. Apart from a longer operative time (p=0.009) in the LT group, no differences were observed between the two groups regarding surgical parameters and postoperative outcomes. No deaths occurred within 30 days in either group. During a median follow-up of 61.0 months (95% CI: 48.96-73.04), four patients experienced recurrence (1.96%). No significant differences in the five-year overall survival (OS) rate (p=0.25) or recurrence-free survival (RFS) rate (p=0.43) were observed between groups.
CONCLUSIONS: RATS extended thymectomy is technically feasible, safe, and effective for treating large resectable thymomas. Moreover, midterm outcomes for patients with completely resected large thymomas were comparable to those with small thymomas during a median follow-up period of up to five years.

Background: The impact of tumor size on the survival and chemotherapy reponse of early-stage colon cancer remains unclear. Our study explored the effect of tumor size on overall survival (OS) and postoperative chemotherapy efficacy in patients with stage I/II colon cancer. Methods: Stage I/II colon cancer patients from the Surveillance, Epidemiology and End Results (SEER) database and a China center were extracted as two cohorts respectively. X-tile program was adopted to acquire optimal cutoff points of tumor size (16mm and 49mm). Harrell\'s concordance index (c-index) and time-dependent receiver operating characteristic curve (ROC) were used to indicate discrimination ability of prognostic factors. Results: Overall, 104,908 and 168 stage I/II postoperative colon cancer patients from SEER database and a China center were eligible, respectively. Kaplan-Meier analysis showed that large tumor size was associated with poor OS in two cohorts. The effect of tumor size on OS gradually decreased as the T stage increased both before PSM (c-index 0.535 for T1N0M0 and 0.506 for T4N0M0, p<0.05) and after PSM (c-index 0.543 for T1N0M0, p<0.05; c-index 0.543 for T4N0M0, p>0.05). Stratified analyses showed that chemotherapy improved the OS rate by 9.5% (chemotherapy vs. non-chemotherapy: 83.5% vs. 73.0%) or 12.8% (chemotherapy vs. non-chemotherapy: 85.7% vs. 72.9%) before and after PSM in T2N0M0 patients with tumor size >49 mm, but not in T1N0M0. The survival benefit provided by chemotherapy for T2N0M0 patients with large tumor was also validated in the Chinese cohort. Conclusions: Large tumor size was a risk factor for stage I/II colon cancer, especially for T1N0M0. Tumor size could serve as a complementary factor guiding postoperative chemotherapy for T2N0M0 patients.

There is no consensus about whether relatively large mediastinal tumors (≥ 5.0 cm) are suitable for video-assisted thoracoscopic surgery (VATS). Therefore, this study aimed to compare the efficacy and safety of intercostal approach VATS for large-sized anterior mediastinal tumors (5.0-10.0 cm) with no invasion to the surrounding tissues and organs. A total of 129 patients with anterior mediastinal tumors who received surgery in our hospital between January 2018 and July 2022 were consecutively enrolled. Patients were divided into 2 groups based on mediastinal tumor diameter: Group A (tumor size between 1.0 and 4.9 cm) and Group B (tumor size between 5.0 and 10.0 cm). The primary endpoints were operation time, blood loss, and postoperative pain, and the secondary endpoints were the volume of drainage, drainage duration, postoperative hospital stay, and postoperative complications. Significant differences were found in the volume of drainage between the two groups (Group A: 218.4 ± 140.6, Group B: 398.9 ± 369.3, P < 0.001). However, no differences were found in operation time, blood loss, drainage duration, postoperative hospital stay and duration of postoperative oral analgesics (P > 0.05). In addition, there existed no significant differences in the postoperative complications. Intercostal approach VATS is regarded as a feasible and safe surgical method for large-sized anterior mediastinal tumors (5.0-10.0 cm) with no invasion to the surrounding tissues and organs.

Low-coverage whole genome sequencing was performed for tissue samples from thyroid patients who received surgery treatment from 2015 to 2021. The potential biological significance of CD147 protein in thyroid cancer was explored through correlation analysis of CD147 protein expression level and clinical features of thyroid cancer patients. Low coverage whole genome sequencing was performed on the extracted DNA samples. The copy number analysis software was used to analyze the sequencing data, calculate the copy number of CD147 gene, further verify the expression of CD147 gene, and analyze its association with clinical features. The relationship between CIN and high risk was evaluated in the internal cohort. The association of CIN with the disease-free survival was validated in the cohort from The Cancer Genome Atlas Program. Thyroglobulin plays a key role in regulating thyroid function and maintaining normal metabolic rate. By sequencing tissue samples from this study, we can gain a deeper understanding of the association between cin and thyroid disease. The percentage of high risk patients in the multiple CIN group (77.8 %) was significantly higher than that in the 22q negative group (31.3 %), BRAF V600E group (22.2 %) and all negative group (25.0 %; p = 0.043).

BACKGROUND: The rate of distant metastasis in patients with pancreatic neuroendocrine tumors (PNETs) is 20%-50% at the time of initial diagnosis. However, whether tumor size can predict distant metastasis for PNETs remains unknown up to date.
METHODS: We used Surveillance, Epidemiology, and End Results (SEER) population-based data to collect 6089 patients with PNETs from 2010 to 2019. The optimal cut-off point of tumor size to predict distant metastasis was calculated by Youden\'s index. Multivariate logistic regression analysis was used to figure out the association between tumor size and distant metastasis patterns.
RESULTS: The most common metastatic site was liver (27.2%), followed by bone (3.0%), lung (2.3%) and brain (0.4%). Based on an optimal cut-off value of tumor size (25.5 mm) for predicting distant metastasis determined by Youden\'s index, patients were categorized into groups of tumor size < 25.5 mm and ≥ 25.5 mm. Multivariate logistic regression analyses showed that, compared with < 25.5 mm, tumor size ≥ 25.5 mm was an independent risk predictor of overall distant metastasis [odds ratio (OR) = 4.491, 95% confidence interval (CI): 3.724-5.416, P < 0.001] and liver metastasis (OR = 4.686, 95% CI: 3.886-5.651, P < 0.001).
CONCLUSIONS: Tumor size ≥ 25.5 mm was significantly associated with more overall distant and liver metastases. Timely identification of distant metastasis for tumor size ≥ 25.5 mm may provide survival benefit for timely and precise treatment.

UNASSIGNED: Endoscopic obstruction (eOB) is associated with a poor prognosis in colorectal cancer (CRC). Our study aimed to investigate the association between tumor location and eOB, as well as the prognostic differences among non-endoscopic obstruction (N-eOB), eOB with tumor size ≤ 5 cm, and eOB with tumor size > 5 cm in non-elderly patients.
UNASSIGNED: We retrospectively reviewed the clinicopathological variables of 230 patients with CRC who underwent curative surgery. The multivariable logistic regression model was used to identify risk factors for eOB. The association between eOB with tumor size ≤ 5 cm and disease-free survival (DFS) was evaluated using multivariate cox regression analysis.
UNASSIGNED: A total of 87 patients had eOB while 143 had N-eOB. In multivariate analysis, preoperative carcinoembryonic antigen (p = 0.014), tumor size (p = 0.010), tumor location (left-side colon; p = 0.033; rectum; p < 0.001), and pT stage (T3, p = 0.009; T4, p < 0.001) were significant factors of eOB. The DFS rate for eOB with tumor size ≤ 5 cm was significantly lower (p < 0.001) in survival analysis. The eOB with tumor size ≤ 5 cm (p = 0.012) was an unfavorable independent factor for DFS.
UNASSIGNED: The patients with eOB were significantly associated with right-side colon cancer as opposed to left-side colon cancer and rectal cancer. The eOB with tumor size ≤ 5 cm was an independent poor prognostic factor. Further studies are needed to target these high-risk groups.

It\'s a major public health problem of global concern that malignant gliomas tend to grow rapidly and infiltrate surrounding tissues. Accurate grading of the tumor can determine the degree of malignancy to formulate the best treatment plan, which can eliminate the tumor or limit widespread metastasis of the tumor, saving the patient\'s life and improving their prognosis. To more accurately predict the grading of gliomas, we proposed a novel method of combining the advantages of 2D and 3D Convolutional Neural Networks for tumor grading by multimodality on Magnetic Resonance Imaging. The core of the innovation lies in our combination of tumor 3D information extracted from multimodal data with those obtained from a 2D ResNet50 architecture. It solves both the lack of temporal-spatial information provided by 3D imaging in 2D convolutional neural networks and avoids more noise from too much information in 3D convolutional neural networks, which causes serious overfitting problems. Incorporating explicit tumor 3D information, such as tumor volume and surface area, enhances the grading model\'s performance and addresses the limitations of both approaches. By fusing information from multiple modalities, the model achieves a more precise and accurate characterization of tumors. The model I s trained and evaluated using two publicly available brain glioma datasets, achieving an AUC of 0.9684 on the validation set. The model\'s interpretability is enhanced through heatmaps, which highlight the tumor region. The proposed method holds promise for clinical application in tumor grading and contributes to the field of medical diagnostics for prediction.

BACKGROUND: The purpose of this study was to investigate the effect of tumor size and differentiation grade on long term survival in patients with early-stage lung adenocarcinoma (LUAD) after lobectomy and segmentectomy.
METHODS: Patients with stage T1-2N0M0 LUAD who underwent lobectomy and segmentectomy were identified from the Surveillance, Epidemiology, and End Results database. Patients were stratified as grade I (well differentiated), grade II (moderately differentiated), and grade III/IV (poorly differentiated/undifferentiated) carcinomas. The effect of tumor size on overall survival (OS) and lung cancer-specific survival (LCSS) was evaluated using the multivariate Cox regression model, including the interaction between tumor size, type of surgery, and tumor differentiation grade. The inverse probability of treatment weighting method was used to adjust for bias between the groups.
RESULTS: A total of 19,857 patients were identified, including 18,759 (94.4%) who underwent lobectomy and 1098 (5.5%) who underwent segmentectomy. A three-way interaction among tumor size, differentiation grade, and type of surgery was observed in the overall cohort. After stratifying by differentiation grade, plots of interaction revealed that lobectomy was associated with improved survival compared with segmentectomy when the tumor size exceeded 23 mm for grade I LUAD and 14 mm for grade II LUAD. No interaction was observed between the studied factors in grade III/IV carcinomas.
CONCLUSIONS: This study interpreted the interaction between tumor size and type of surgery on long-term survival in patients with early stage LUAD and established a tumor size threshold beyond which lobectomy provided survival benefits compared with segmentectomy.

OBJECTIVE: To evaluate the classification and prognostic effects of a 2 cm tumor size in patients with ureteral cancer (UC) undergoing segmental ureterectomy (SU).
METHODS: A total of 75 patients with UC who underwent SU in our hospital between April 2013 and April 2023 were included in this study. The study population was grouped based on tumor size, which was defined as the maximum diameter of the pathological specimens, resulting in 30 patients (40.0%) with tumor size <2 cm and 45 patients (60.0%) with tumor size ≥2 cm. The clinicopathological variables, perioperative parameters, and oncological outcomes were compared between the 2 groups. The endpoints were recurrence-free survival (RFS), and cancer-specific survival (CSS).
RESULTS: A tumor ≥2 cm was related to a higher positive rate of urine exfoliative cytology (P = 0.049) and fewer preoperative ureteroscopies (P = 0.033) than tumors <2 cm. After a follow-up of 6.3 to 128.7 months (median 40.2 months), 23 cases (30.7%) experienced recurrence and 11 patients (14.7%) succumbed to UC in the end. Compared to those with tumor size <2 cm, patients with tumor size ≥2 cm experienced more urothelial recurrence (P = 0.032). Kaplan-Meier analysis demonstrated that patients with tumor size ≥2 cm displayed inferior urothelial RFS than those with tumor size <2 cm (P = 0.026). Multivariate Cox analysis identified tumor size ≥2 cm, and pathological stage ≥T2 were significant prognostic factors of poor urothelial RFS (all P < 0.05).
CONCLUSIONS: Tumor size ≥2 cm was associated with a high rate of urothelial recurrence and served as an independent prognostic factor of adverse urothelial RFS in SU-treated patients with UC. Patients are advised to select surgical treatments for UC following the EAU guidelines.

OBJECTIVE: This study aimed to investigate the impact of tumor size on survival in early-onset colon and rectal cancer.
METHODS: Early-onset colon and rectal cancer patients were identified from the Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2015. Tumor size was analyzed as both continuous and categorical variables. Several statistical techniques, including restricted cubic spline (RCS), Cox proportional hazard model, subgroup analysis, propensity score matching (PSM), and Kaplan-Meier survival analysis, were employed to demonstrate the association between tumor size and overall survival (OS) and cancer-specific survival (CSS) of early-onset colon and rectal cancer.
RESULTS: Seventeen thousand five hundred fifty-one (76.7%) early-onset colon and 5323 (23.3%) rectal cancer patients were included. RCS analysis confirmed a linear association between tumor size and survival. Patients with a tumor size > 5 cm had worse OS and CSS, compared to those with a tumor size ≤ 5 cm for both early-onset colon and rectal cancer. Notably, subgroup analysis showed that a smaller tumor size (≤ 50 mm) was associated with worse survival in stage II early-onset colon cancer, although not statistically significant. After PSM, Kaplan-Meier survival curves showed that the survival of patients with tumor size ≤ 50 mm was better than that of patients with tumor size > 50 mm.
CONCLUSIONS: Patients with tumors larger than 5 cm were associated with worse survival in early-onset colon and rectal cancer. However, smaller tumor size may indicate a more biologically aggressive phenotype, correlating with poorer survival in stage II early-onset colon cancer.