Prediction of pathological complete response and prognosis in locally advanced rectal cancer.

BACKGROUND: Colorectal cancer is currently the third most common malignant tumor and the second leading cause of cancer-related death worldwide. Neoadjuvant chemoradiotherapy (nCRT) is standard for locally advanced rectal cancer (LARC). Except for pathological examination after resection, it is not known exactly whether LARC patients have achieved pathological complete response (pCR) before surgery. To date, there are no clear clinical indicators that can predict the efficacy of nCRT and patient outcomes. AIM: To investigate the indicators that can predict pCR and long-term outcomes following nCRT in patients with LARC. METHODS: Clinical data of 128 LARC patients admitted to our hospital between September 2013 and November 2022 were retrospectively analyzed. Patients were categorized into pCR and non-pCR groups. Univariate analysis (using the χ 2 test or Fisher's exact test) and logistic multivariate regression analysis were used to study clinical predictors affecting pCR. The 5-year disease-free survival (DFS) and overall survival (OS) rates were calculated using Kaplan-Meier analysis, and differences in survival curves were assessed with the log-rank test. RESULTS: Univariate analysis showed that pretreatment carcinoembryonic antigen (CEA) level, lymphocyte-monocyte ratio (LMR), time interval between neoadjuvant therapy completion and total mesorectal excision, and tumor size were correlated with pCR. Multivariate results showed that CEA ≤ 5 ng/mL (P = 0.039), LMR > 2.73 (P = 0.023), and time interval > 10 wk (P = 0.039) were independent predictors for pCR. Survival analysis demonstrated that patients in the pCR group had significantly higher 5-year DFS rates (94.7% vs 59.7%, P = 0.002) and 5-year OS rates (95.8% vs 80.1%, P = 0.019) compared to the non-pCR group. Tumor deposits (TDs) were significantly correlated with shorter DFS (P = 0.002) and OS (P < 0.001). CONCLUSION: Pretreatment CEA, LMR, and time interval contribute to predicting nCRT efficacy in LARC patients. Achieving pCR demonstrates longer DFS and OS. TDs correlate with poor prognosis.

Establishment of a prediction model for severe acute radiation enteritis associated with cervical cancer radiotherapy.

BACKGROUND: Cervical cancer is one of the most common gynecological malignant tumors. Radiation enteritis (RE) leads to radiotherapy intolerance or termination of radiotherapy, which negatively impacts the therapeutic effect and seriously affects the quality of life of patients. If the incidence of RE in patients can be predicted in advance, and targeted clinical preventive treatment can be carried out, the side effects of radiotherapy in cervical cancer patients can be significantly reduced. Furthermore, accurate prediction of RE is essential for the selection of individualized radiation dose and the optimization of the radiotherapy plan. AIM: To analyze the relationships between severe acute RE (SARE) of cervical cancer radiotherapy and clinical factors and dose-volume parameters retrospectively. METHODS: We included 50 cervical cancer patients who received volumetric modulated arc therapy (VMAT) from September 2017 to June 2018 in the Department of Radiotherapy at The First Affiliated Hospital Soochow University. Clinical and dose-volume histogram factors of patients were collected. Logistic regression analysis was used to evaluate the predictive value of each factor for SARE. A nomogram to predict SARE was developed (SARE scoring system ≥ 3 points) based on the multiple regression coefficients; validity was verified by an internal verification method. RESULTS: Gastrointestinal and hematological toxicity of cervical cancer VMAT gradually increased with radiotherapy and reached the peak at the end of radiotherapy. The main adverse reactions were diarrhea, abdominal pain, colitis, anal swelling, and blood in the stool. There was no significant difference in the incidence of gastrointestinal toxicity between the radical and postoperative adjuvant radiotherapy groups (P > 0.05). There were significant differences in the small intestine V20, V30, V40, and rectal V40 between adjuvant radiotherapy and radical radiotherapy after surgery (P < 0.05). Univariate and multivariate analyses revealed anal bulge rating (OR: 14.779, 95%CI: 1.281-170.547, P = 0.031) and disease activity index (DAI) score (OR: 53.928, 95%CI: 3.822-760.948, P = 0.003) as independent predictors of SARE. CONCLUSION: Anal bulge rating (> 0.500 grade) and DAI score (> 2.165 points) can predict SARE. The nomogram shows potential value in clinical practice.

Clinical evaluation of deep learning-based clinical target volume three-channel auto-segmentation algorithm for adaptive radiotherapy in cervical cancer.

OBJECTIVES: Accurate contouring of the clinical target volume (CTV) is a key element of radiotherapy in cervical cancer. We validated a novel deep learning (DL)-based auto-segmentation algorithm for CTVs in cervical cancer called the three-channel adaptive auto-segmentation network (TCAS). METHODS: A total of 107 cases were collected and contoured by senior radiation oncologists (ROs). Each case consisted of the following: (1) contrast-enhanced CT scan for positioning, (2) the related CTV, (3) multiple plain CT scans during treatment and (4) the related CTV. After registration between (1) and (3) for the same patient, the aligned image and CTV were generated. Method 1 is rigid registration, method 2 is deformable registration, and the aligned CTV is seen as the result. Method 3 is rigid registration and TCAS, method 4 is deformable registration and TCAS, and the result is generated by a DL-based method. RESULTS: From the 107 cases, 15 pairs were selected as the test set. The dice similarity coefficient (DSC) of method 1 was 0.8155 ± 0.0368; the DSC of method 2 was 0.8277 ± 0.0315; the DSCs of method 3 and 4 were 0.8914 ± 0.0294 and 0.8921 ± 0.0231, respectively. The mean surface distance and Hausdorff distance of methods 3 and 4 were markedly better than those of method 1 and 2. CONCLUSIONS: The TCAS achieved comparable accuracy to the manual delineation performed by senior ROs and was significantly better than direct registration.

Expression and clinicopathological significance of Foxp3 and VISTA in cervical cancer.

OBJECTIVE: To detect the expression differences of Foxp3 and VISTA in chronic cervical inflammation, cervical intraepithelial neoplasia, and cervical cancer, and to explore the role of Foxp3 and VISTA in the development of cervical cancer and the effect of Foxp3 and VISTA on the prognosis of cervical cancer, to provide a theoretical basis for clinical immunotherapy of cervical cancer. METHODS: We collected 130 paraffin specimens of cervical tissue, which included 70 cases of cervical cancer tissue, 40 cases of cervical intraepithelial neoplasia tissues and 20 cases of chronic cervicitis. The expression of Foxp3 and VISTA in each group was detected, and the study was conducted based on the clinicopathological characteristics of the patients. The patients were followed up and the prognosis was statistically analyzed. RESULT: 1. The expression of Foxp3 and VISTA was statistically different between the cervical cancer group and other groups. 2. Expressions of Foxp3 and VISTA were significantly correlated. 3. In 70 cases of cervical cancer, the expression of Foxp3 and VISTA was related to the clinical stage. 4. The 3-year survival rate of 70 patients with cervical cancer was 72.9%, and there were no factors affecting 3-year OS found. The expression of Foxp3 and VISTA was significantly correlated with the prognosis of cervical cancer. Foxp3 and VISTA double positive expression group had the worst prognosis. CONCLUSION: 1. In cervical cancer, the expression of Foxp3 and VISTA was significantly higher than that of cervical intraepithelial neoplasia and chronic cervicitis, which suggested that they were closely related to the occurrence and growth of cervical cancer. 2. The expression of Foxp3 and VISTA was significantly related. 3. The positive expression of Foxp3 and VISTA could be used as independent prognostic factors for cervical cancer prognosis providing a strong basis for cervical cancer immunotherapy.

Tumor mutation burden in Chinese cancer patients and the underlying driving pathways of high tumor mutation burden across different cancer types.

BACKGROUND: Tumor mutation burden (TMB) has an important association with immunotherapy responses. TMB in the Chinese population has not been well established. Finding differences between the Chinese and Caucasian populations and elucidating the underlying biological mechanisms of high TMB might help develop more precise and effective means for TMB and immunotherapy response prediction. METHODS: Chinese cancer patients fresh tissue (n=2,177), formalin-fixed, paraffin-embed (FFPE) specimens (n=3,294), and pleural fluid (n=189) were profiled using a 295- or 520-gene next-generation sequencing (NGS) panel. The association of the TMB status with a series of molecular features and biological pathways was determined using bootstrapping. RESULTS: TMB, measured by 295- or 520-cancer-related gene panels, was correlated with whole-exome sequencing (WES) TMB based on the in silico simulation in The Cancer Genome Atlas cohort. The median TMB of our data was slightly higher than that from the Foundation Medicine Inc. (FMI) dataset. TMB was also slightly different within the same cancer type between the Chinese and Caucasian population. We discovered that the underlying pathways of TMB status varied greatly and sometimes had an opposite association with TMB across different cancer types. Moreover, we developed a 23-gene and a 16-gene signature to predict TMB prediction for lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC), respectively, indicating a histology-specific mechanism for driving high-TMB in lung cancer. CONCLUSIONS: TMB varies among different ethnic populations. Our findings extend the knowledge of the underlying biological mechanisms for high TMB and might be helpful for developing more precise and accessible TMB assessment panels and algorithms in more cancer types.

[Influence of knock-down of miR-21 expression on the radiosensitivity of glioma SHG-44 cells].

OBJECTIVE: To explore the influence of knock-down of miR-21 expression on the radiosensitivity of radioresistant glioma SHG-44 cells and its mechanism. METHODS: Radioresistant cell line SHG-44(R) cells were established from radiosensitive parental SHG-44 glioma cells. Then the expression levels of miR-21 in SHG-44(R) and SHG-44 were determined by quantitative real-time PCR. The effect of miR-21 on the radiosensitivity was assessed in SHG-44(R) with miR-21 inhibitor to decrease the miR-21 expression. RESULTS: miR-21 was up-regulated 1.49-fold in SHG-44(R) cells relative to the SHG-44 cells. But after transfection with As-miR-21, the miR-21 expression in SHG-44(R) cells was knocked down significantly. As-miR-21 combined with radiation could synergistically enhanced mitotic death and apoptosis of SHG-44(R) cells, with SER of D(0) and D(q) being equal to 1.48 and 1.54, respectively. Expression levels of caspase-3 in the radiation group, AS-miR-21 transfection group and combination group were 2.24 ± 0.14, 2.05 ± 0.19 and 5.72 ± 0.45, respectively, and its expression in the combination group was higher than that in the other two groups. CONCLUSIONS: miR-21 may be involved in the formation of radioresistance of glioma cells and as a potential target for enhancing the response of radioresistant-glioma cells to radiotheapy.