Homotypic cell-in-cell structures (hoCICs) are associated with tumor proliferation, invasion, and metastasis and is considered a promising prognostic marker in various cancers. However, the role of hoCICs in non-small cell lung cancer (NSCLC) remains unclear. Tumor tissue sections were obtained from 411 NSCLC patients. We analyzed the relationship between clinicopathological variables and the number of hoCICs. LASSO and multivariate Cox regression analysis were employed to identify prognostic factors for NSCLC. The impact of hoCICs on overall survival (OS) and disease-free survival (DFS) was assessed using the Kaplan-Meier curves and log-rank test. Prognostic models for OS and DFS were developed and validated using the C-index, time-dependent area under the curve (AUC), net reclassification improvement (NRI), integrated discrimination improvement (IDI), calibration curves and decision curve analysis (DCA). Among the cohort, 56% of patients had hoCICs while 44% did not. Notably, hoCICs were primarily found at the tumor invasion front. Male gender, smoking, squamous cell carcinoma, low differentiation, tumor size ≥ 3 cm, advanced TNM stage, lymph node metastasis, pleural invasion, vascular invasion, necrosis, P53 mutation, and high expression of Ki-67 were identified as relative risk factors for hoCICs. Furthermore, hoCICs was found to be a significant prognostic factor for both OS and DFS, with higher frequencies of hoCICs correlating with poorer outcomes. We constructed nomograms for predicting 1-, 3-, and 5-year OS and DFS based on hoCICs, and the calibration curves showed good agreement between the predicted and actual outcomes. The results of the C-index, time-dependent AUC, NRI, IDI, and DCA analyses demonstrated that incorporating hoCICs into the prognostic model significantly enhanced its predictive power and clinical applicability. HoCICs indicated independent perdictive value for OS and DFS in patients with NSCLC. Furthermore, the frequent localization of hoCICs at the tumor invasion front suggested a strong association between hoCICs and tumor invasion as well as metastasis.

BACKGROUND: To identify the cut-off values for the number of metastatic lymph nodes (nMLN) and lymph node ratio (LNR) that can predict outcomes in patients with FIGO 2018 IIICp cervical cancer (CC).
METHODS: Patients with CC who underwent radical hysterectomy with pelvic lymphadenectomy were identified for a propensity score-matched (PSM) cohort study. A receiver operating characteristic (ROC) curve analysis was performed to determine the critical nMLN and LNR values. Five-year overall survival (OS) and disease-free survival (DFS) rates were compared using Kaplan-Meier and Cox proportional hazard regression analyses.
RESULTS: This study included 3,135 CC patients with stage FIGO 2018 IIICp from 47 Chinese hospitals between 2004 and 2018. Based on ROC curve analysis, the cut-off values for nMLN and LNR were 3.5 and 0.11, respectively. The final cohort consisted of nMLN ≤ 3 (n = 2,378) and nMLN > 3 (n = 757) groups and LNR ≤ 0.11 (n = 1,748) and LNR > 0.11 (n = 1,387) groups. Significant differences were found in survival between the nMLN ≤ 3 vs the nMLN > 3 (post-PSM, OS: 76.8% vs 67.9%, P = 0.003; hazard ratio [HR]: 1.411, 95% confidence interval [CI]: 1.108-1.798, P = 0.005; DFS: 65.5% vs 55.3%, P < 0.001; HR: 1.428, 95% CI: 1.175-1.735, P < 0.001), and the LNR ≤ 0.11 and LNR > 0.11 (post-PSM, OS: 82.5% vs 76.9%, P = 0.010; HR: 1.407, 95% CI: 1.103-1.794, P = 0.006; DFS: 72.8% vs 65.1%, P = 0.002; HR: 1.347, 95% CI: 1.110-1.633, P = 0.002) groups.
CONCLUSIONS: This study found that nMLN > 3 and LNR > 0.11 were associated with poor prognosis in CC patients.

OBJECTIVE: To analyze oncological and functional results of transoral minimally invasive surgery (TMIS) for supraglottic laryngeal carcinoma (SGLC), and investigate independent prognostic factors.
METHODS: Seventy SGLC patients treated with TMIS were included. The overall survival (OS), recurrence-free survival (RFS), and postoperative functions were analyzed.
RESULTS: Sixty-two patients were early-stage (Tis, T1, and T2) and eight patients were T3. Eleven patients received preoperative induction chemotherapy (IC). Sixty patients received transoral laser microsurgery (TLM), and 10 patients received transoral robotic surgery (TORS). Fifty-eight patients were scored Grade-1 by water swallow test, and 49 patients were scored Grade 0 by grade, roughness, breathiness, asthenia, strain. The 1, 3, and 5 year OS of all were 95.450%, 84.877%, and 78.026%, and RFS were 89.167%, 78.052%, and 75.451% respectively. Kaplan-Meier survival analysis showed N stage and clinical stage were associated with OS, smoking, clinical stage, surgical margins, and Ki-67 index were associated with RFS. There were no significant differences in preoperative IC or direct surgery, TLM, or TORS. Cox analyses showed smoking and surgical margins were independent prognosis factors for RFS.
CONCLUSIONS: The positive margin, Ki-67 index ≥40% and P53(+)&Ki-67 index ≥40% are worse factors affecting recurrence for SGLC patients. Both smoking and surgical margins are independent prognostic factors affecting recurrence.

Purpose: To study the effects of prior pelvic radiotherapy on bone marrow suppression in recurrent cervical cancer patients during chemotherapy. Methods and materials: The cases of 129 patients with recurrent cervical cancer were reviewed, of which 77 patients had pelvic radiotherapy history and another 52 patients with no pelvic radiotherapy history were used as control group. All patients received a chemotherapy regimen of paclitaxel combined with carboplatin (TC) per 21 days for 5-6 times. Hematologic toxicity, including count of red blood cell, white blood cell and neutrophil cell and platelet, was defined by using Common Terminology Criteria for Adverse Events (version 4.0). The relationship between age, body mass index, disease free survival, pathological types, FIGO stages, radiotherapy methods and the degree of bone marrow suppression during chemotherapy was statistically analyzed, respectively, for all recurrent cervical cancer patients. Results: Among 77 patients with previous radiotherapy history, 73 recurrent patients (94.8%) had bone marrow suppression followed by chemotherapy. Recurrent cervical cancer patients without prior radiotherapy (n=52) showed a lower risk of bone marrow suppression followed by chemotherapy (n=39, 75.0%, P < 0.05). The probability of severe bone marrow suppression (grade III-IV) after chemotherapy in recurrent cervical patients with or without history of radiotherapy was 41.6% and 13.5%, respectively (P < 0.05). In univariate analysis, radiotherapy methods were associated with the incidence of grade III-IV bone marrow suppression in recurrent cervical cancer patients (P=0.005). In multivariate analysis, radiotherapy methods and extended-field radiotherapy were the risk factor of grade III-IV bone marrow suppression (χ2=16.975, P=0.001). No significant differences in the counts of white blood cell, hemoglobin and platelet were observed before chemotherapy at relapse between patients with and without prior radiotherapy. Reduction of white blood cell counts, absolute value of neutrophil cell and platelet counts composited majority type of grade III and IV bone marrow suppression. Conclusions: The prior pelvic radiotherapy significantly increased the incidence of bone marrow suppression during chemotherapy in recurrent cervical cancer patients. When treating recurrent cervical cancer patients with chemotherapy who had prior radiotherapy, especially for those experienced external beam radiation therapy, essential attention and timely intervention are recommended to ensure completion of chemotherapy and clinical efficacy.

BACKGROUND: The estimated dose of radiation to immune cells (EDRIC) has been shown to correlate with the overall survival (OS) of patients who receive definitive thoracic radiotherapy. However, the planning target volume (PTV) may be a confounding factor. We assessed the prognostic value of EDRIC for non-small cell lung cancer (NSCLC) in patients who underwent postoperative radiotherapy (PORT) with homogeneous PTV.
METHODS: Patients with NSCLC who underwent PORT between 2004 and 2019 were included. EDRIC was computed as a function of the number of radiation fractions and mean doses to the lungs, heart, and remaining body. The correlations between EDRIC and OS, disease-free survival (DFS), locoregional-free survival (LRFS), and distant metastasis-free survival (DMFS) were analyzed using univariate and multivariate Cox models. Kaplan-Meier analysis was performed to assess the survival difference between low- and high-EDRIC groups.
RESULTS: In total, 345 patients were analyzed. The mean EDRIC was 6.26 Gy. Multivariate analysis showed that higher EDRIC was associated with worse outcomes in terms of OS (hazard ratio [HR] 1.207, P = .007), DFS (HR 1.129, P = .015), LRFS (HR 1.211, P = .002), and DMFS (HR 1.131, P = .057). In the low- and high-EDRIC groups, the 3-year OS was 81.2% and 74.0%, DFS 39.8% and 35.0%, LRFS 70.4% and 60.5%, and DMFS 73.9% and 63.1%, respectively.
CONCLUSIONS: EDRIC is an independent prognostic factor for survival in patients with NSCLC undergoing PORT. Higher doses of radiation to the immune system are associated with tumor progression and poor survival. Organs at risk for the immune system should be considered during radiotherapy planning.

暂无摘要。

OBJECTIVE: This study aimed to establish a clinical nomogram model based on a radiomics signatures derived from 18F-fluorodeoxyglucose positron-emission tomography (18F-FDG PET/CT) and clinical parameters to predict disease-free survival (DFS) in patients with stage II/III colorectal adenocarcinoma. Understanding and predicting DFS in these patients is key to optimizing treatment strategies.
METHODS: A retrospective analysis included 332 cases from July 2011 to July 2021 at The Sixth Affiliated Hospital, Sun Yat-sen University, with PET/CT assessing radiomics features and clinicopathological features. Univariate Cox regression, the least absolute shrinkage and selection operator (LASSO) Cox, and multivariable Cox regression identified recurrence-related radiomics features. We used a weighted radiomics score (Rad-score) and independent risk factors to construct a nomogram. Evaluation involved time-dependent receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA).
RESULTS: The nomogram, incorporating Rad-score, pN, and pT demonstrated robust predictive ability for DFS in stage II/III colorectal adenocarcinoma. Training cohort areas under the curve (AUCs) were 0.78, 0.80, and 0.86 at 1, 2, and 3 years, respectively, and validation cohort AUCs were 0.79, 0.75, and 0.73. DCA and calibration curves affirmed the nomogram\'s clinical relevance.
CONCLUSIONS: The 18F-FDG PET/CT based radiomics nomogram, including Rad-score, pN, and pT, effectively predicted tumor recurrence in stage II/III colorectal adenocarcinoma, significantly enhancing prognostic stratification. Our findings highlight the potential of this nomogram as a guide for clinical decision making to improve patient outcomes.

OBJECTIVE: To investigate the impact of response to induction chemotherapy (IC) on survival outcomes in patients with locally advanced nasopharyngeal carcinoma (LANPC) and evaluate the efficacy of adding nimotuzumab to concurrent chemoradiotherapy (CCRT) based on different responses to IC.
METHODS: We retrospectively included patients with stage III-IVA NPC who underwent IC with and without nimotuzumab during CCRT. Statistical analysis included the chi-square test, propensity score matching, Kaplan-Meier survival analysis, and Cox proportional hazards model.
RESULTS: Among 383 identified patients, 216 (56.4%) received nimotuzumab during CCRT, while 167 (43.6%) did not. Following IC, 269 (70.2%) patients showed a complete response (CR) or partial response (PR), and 114 (29.8%) had stable disease (SD) or progressive disease (PD). The response to IC independently influenced disease-free survival (DFS) and overall survival (OS). Patients achieving CR/PR demonstrated significantly higher 3-year DFS (80.3% vs. 70.6%, P = 0.031) and OS (90.9% vs. 83.2%, P = 0.038) than those with SD/PD. The addition of nimotuzumab during CCRT significantly improved DFS (P = 0.006) and OS (P = 0.037) for CR/PR patients but not for those with SD/PD.
CONCLUSIONS: This study emphasizes the importance of IC response in LANPC and highlights the potential benefits of nimotuzumab during CCRT for improving survival outcomes in CR/PR patients. Tailored treatment approaches for SD/PD patients warrant further investigation.

OBJECTIVE: The roles of magnetic resonance imaging (MRI) -based radiomics approach and deep learning approach in cervical adenocarcinoma (AC) have not been explored. Herein, we aim to develop prognosis-predictive models based on MRI-radiomics and clinical features for AC patients.
METHODS: Clinical and pathological information from one hundred and ninety-seven patients with cervical AC was collected and analyzed. For each patient, 107 radiomics features were extracted from T2-weighted MRI images. Feature selection was performed using Spearman correlation and random forest (RF) algorithms, and predictive models were built using support vector machine (SVM) technique. Deep learning models were also trained with T2-weighted MRI images and clinicopathological features through Convolutional Neural Network (CNN). Kaplan-Meier curve was analyzed using significant features. In addition, information from another group of 56 AC patients was used for the independent validation.
RESULTS: A total of 107 radiomics features and 6 clinicopathological features (age, FIGO stage, differentiation, invasion depth, lymphovascular space invasion (LVSI), and lymph node metastasis (LNM) were included in the analysis. When predicting the 3-year, 4-year, and 5-year DFS, the model trained solely on radiomics features achieved AUC values of 0.659 (95%CI: 0.620-0.716), 0.791 (95%CI: 0.603-0.922), and 0.853 (95%CI: 0.745-0.912), respectively. However, the combined model, incorporating both radiomics and clinicopathological features, outperformed the radiomics model with AUC values of 0.934 (95%CI: 0.885-0.981), 0.937 (95%CI: 0.867-0.995), and 0.916 (95%CI: 0.857-0.970), respectively. For deep learning models, the MRI-based models achieved an AUC of 0.857, 0.777 and 0.828 for 3-year DFS, 4-year DFS and 5-year DFS prediction, respectively. And the combined deep learning models got a improved performance, the AUCs were 0.903. 0.862 and 0.969. In the independent test set, the combined model achieved an AUC of 0.873, 0.858 and 0.914 for 3-year DFS, 4-year DFS and 5-year DFS prediction, respectively.
CONCLUSIONS: We demonstrated the prognostic value of integrating MRI-based radiomics and clinicopathological features in cervical adenocarcinoma. Both radiomics and deep learning models showed improved predictive performance when combined with clinical data, emphasizing the importance of a multimodal approach in patient management.

BACKGROUND: The albumin-bilirubin (ALBI) score is a serum biochemical indicator of liver function and has been proven to have prognostic value in a variety of cancers. In colorectal cancer (CRC), a high ALBI score tends to be associated with poorer survival.
OBJECTIVE: To investigate the correlation between the preoperative ALBI score and outcomes in CRC patients who underwent radical surgery.
METHODS: Patients who underwent radical CRC surgery between January 2011 and January 2020 at a single clinical center were included. The ALBI score was calculated by the formula (log10 bilirubin × 0.66) + (albumin × -0.085), and the cutoff value for grouping patients was -2.8. The short-term outcomes, overall survival (OS), and disease-free survival (DFS) were calculated.
RESULTS: A total of 4025 CRC patients who underwent radical surgery were enrolled in this study, and there were 1908 patients in the low ALBI group and 2117 patients in the high ALBI group. Cox regression analysis revealed that age, tumor size, tumor stage, ALBI score, and overall complications were independent risk factors for OS; age, tumor stage, ALBI score, and overall complications were identified as independent risk factors for DFS.
CONCLUSIONS: A high preoperative ALBI score is correlated with adverse short-term outcomes, and the ALBI score is an independent risk factor for OS and DFS in patients with CRC undergoing radical surgery.