中华肿瘤杂志最新文献

Objective: To describe the epidemiological characteristics of breast cancer incidence in Qidong City between 1972 and 2021, and provide guidelines for preventive and control measures and strategies. Methods: The cancer registry data were collected and breast cancer incidences during 1972 and 2021 in Qidong by sex, age, and time were analyzed. Crude incidence rate (CR), China age-standardized rate (ASRC), world age-standardized rate (ASRW), annual percentage change (APC), and average annual percentage change (AAPC) were calculated by Joinpoint software. The age-period-cohort model was used to analyze the influence of age, period, and birth cohort on the changes in the incidence trend of breast cancer. Results: From 1972 to 2021, there were 6 929 patients with breast cancer in Qidong, accounting for 4.70% of all new cancer cases, with a CR of 12.35/10⁵, a ASRC of 6.63/10⁵, and a ASRW of 8.89/10⁵. The truncated incidence rate among people aged 35-64 years was 21.90/10⁵. The cumulative incidence rate of the ages between 0 and 74 years was 0.96%. The cumulative risk was 0.96%. There were 98 male patients, whose CR, ASRC, and ASRW were 0.35/10⁵, 0.17/10⁵, and 0.25/10⁵, respectively. The number of female patients was 6 831, and the CR, ASRC, and ASRW were 24.02/10⁵, 12.86/10⁵, and 17.13/10⁵, respectively. The AAPC of ASRW of female breast cancer was 3.45% (95% CI: 2.90%-4.01%). The increasing trend of the incidence rate was statistically significant (P＜0.05). The AAPCs of females aged 25-34, 35-44, 45-54, 55-64, 65-74, and ≥75 years were 2.78% (95% CI: 0.88%-4.72%), 2.20% (95% CI: 0.83%-3.60%), 3.81% (95% CI: 2.45%-5.19%), 4.48% (95% CI: 3.12%-5.85%), 3.79% (95% CI: 2.19%-5.43%), and 2.87% (95% CI: 1.14%-4.63%). The increasing trends of the incidence rates in all age groups were statistically significant (P＜0.05). The age-period-cohort model showed that the risk of breast cancer increased with age, and people born later were faced with a higher risk of the disease (P＜0.05). Conclusion: The incidence of breast cancer presented a rising trend in the past fifty years in Qidong. The increasing trend of the incidence rate was statistically significant since the beginning of this century. The health administrative department should formulate preventive and control measures to reduce the burden of breast cancer.

Cancer is a major chronic disease that threatens human health, while traditional Chinese medicine (TCM) is a unique method for cancer prevention and treatment in China. After about 70 years of innovation and development, TCM has made constant progress in areas such as the clinical diagnosis, treatment, evidence-based researches, and mechanism exploration of cancer. It has special advantages in aspects such as reducing toxicity, enhancing treatment efficacy, managing symptoms, accelerating recovery, preventing recurrence and metastasis, and prolonging advanced-stage survival. However, there are still bottlenecks for TCM in cancer care. This paper cuts in the key links between TCM and western medicine in their combined application in cancer prevention and treatment, and take the original TCM theories on cancer as the lead, high-quality evidence-based researches as the drive, and analysis on the dynamic mechanism as the core, to show the advantages and effects of TCM in cancer treatment in an all-round way. It also aims to provide novel strategies for sustainable and innovative development and for formulation of comprehensive schemes that integrate TCM and western medicine for cancer prevention and treatment.

Objective: Using methylation characteristics of human genes to construct machine learning predictive models for screening cervical cancer and precancerous lesions. Methods: Human DNA methylation detection was performed on 224 cervical exfoliated cell specimens from the Cancer Hospital of the Chinese Academy of Medical Sciences, Tianjin Central Hospital of Gynecology Obstetrics, Xinmi Maternal and Child Health Hospital of Henan Province, West China Second Affiliated Hospital of Sichuan University, and Heping Hospital Affiliated to Changzhi Medical College collected during April 2014 and March 2015. The hypermethylated gene fragments related to cervical cancer were selected by high-density, high-association, and hypermethylated gene fragment screening and the LASSO regression algorithm. Taking cervical intraepithelial neoplasia grade 2 (CIN2) or more severe lesions as the research outcome, machine learning predictive models based on the random forest (RF), naive Bayes (NB), and support vector machine (SVM) algorithm, respectively, were constructed. A total of 144 outpatient specimens were used as the training set and 80 cervical exfoliated cell specimens from women participating in the cervical cancer screening program were used as the test set to verify the predictive models. Using histological diagnosis results as the gold standard, the detection efficacy for CIN2 or more severe lesions of the three machine learning predictive models were compared with that of the human papilloma virus (HPV) detection and cytological diagnosis. Results: In the training set of 144 cases, there were 34 cases of HPV positivity, with a positive rate of 23.61%. Cytologically, there were 37 cases diagnosed as no intraepithelial lesion or malignancy (NILM), and 107 cases diagnosed as atypical squamous cells of undetermined significance (ASC-US) or above. Histologically, there were 28 cases without cervical intraepithelial neoplasia or benign cervical lesions, 31 cases of CIN1, 18 cases of CIN2, 31 cases of CIN3, and 36 cases of squamous cell carcinoma. Seven hypermethylated gene fragments were selected from 45 genes, and three machine learning prediction models based on the RF, NB, and SVM algorithm, respectively, were constructed. In the validation set of 80 cases, there were 28 cases of HPV positivity, with a positive rate of 35.00%. Cytologically, there were 65 cases diagnosed as NILM and 15 cases as ASC-US or above. Histologically, there were 39 cases without cervical intraepithelial neoplasia or benign cervical lesions, 10 cases of CIN1, 10 cases of CIN2, 11 cases of CIN3, and 10 cases of squamous cell carcinoma. In the validation set, the area under the curve (AUC) values of the RF model, NB model, SVM model, HPV detection, and cytological diagnosis of CIN2 or above were 0.90, 0.88, 0.82, 0.68, and 0.45, respectively. The DeLong test showed that there was no statistically significant difference in the AUC values between the RF, NB, and S

Objective: To explore the influencing factors for pneumonia occurrence within three months in patients undergoing partial laryngectomy combined with radiotherapy, and to construct a nomogram prediction model for the risk of pneumonia occurrence. Methods: A total of 165 patients with laryngeal squamous cell carcinoma who underwent partial laryngectomy combined with postoperative radiotherapy in the Affiliated Cancer Hospital of Zhengzhou University from 2017 to 2023 were divided into three groups: a group without pneumonia, a low risk pneumonia group, and a medium to high risk pneumonia group according to the occurrence of pneumonia. The receiver operating characteristic (ROC) curve was used to determine the optimal cutoff values of the mean dose to the larynx (Larynx-Dmean) and the mean dose to the pharyngeal constrictor muscles (PCM-Dmean) for predicting the occurrence of pneumonia. Logistic regression analysis was used to screen out the influencing factors of pneumonia within three months after partial laryngectomy combined with radiotherapy, and a nomogram prediction model was constructed. Results: Among the 165 patients, 59 were in the group without pneumonia, 60 were in the group with a low risk of pneumonia, and 46 were in the group with a medium to high risk of pneumonia. The overall incidence of pneumonia was 64.2% (106/165). ROC curve analysis showed that the area under the curve (AUC) of the Larynx-Dmean for predicting the occurrence of pneumonia was 0.876, and the optimal cutoff value was 60.8 Gy. When the Larynx-Dmean was >60.8 Gy, the incidence of pneumonia was 96.7%. The AUC of the PCM-Dmean for predicting the occurrence of pneumonia was 0.747, and the optimal cutoff value was 54.6 Gy. When the PCM-Dmean was >54.6 Gy, the incidence of pneumonia was 74.7%. The AUC of the Larynx-Dmean for predicting the occurrence of medium to high risk pneumonia was 0.987, and the optimal cutoff value was 68.2 Gy. When the Larynx-Dmean was >68.2 Gy, the incidence of medium to high risk pneumonia was 100.0%. The AUC of the PCM-Dmean for predicting the occurrence of medium to high risk pneumonia was 0.850, and the optimal cutoff value was 58.7 Gy. When the PCM-Dmean was >58.7 Gy, the incidence of medium to high risk pneumonia was 85.2%. Multivariate logistic regression analysis showed that the incidence of pneumonia was higher in patients with a history of smoking (OR=1.54, 95% CI: 1.02-1.74), a higher smoking index (OR=2.43, 95% CI: 1.16-7.59), a higher Larynx-Dmean (OR=3.79, 95% CI: 1.25-6.49), and a higher PCM-Dmean (OR=2.44, 95% CI: 1.53-3.16). A nomogram prediction model for the risk of pneumonia and medium to high risk pneumonia within three months after partial laryngectomy combined with radiotherapy was successfully constructed, with C indices of 0.78 and 0.98, respectively, which had good predictive performance and clinical efficacy. Conclusions: When the

Objective: To explore the efficacy and prognosis of preoperative treatment based on arterial infusion chemotherapy (PTAC) in patients with advanced gastric cancer. Methods: Clinical and follow-up data of 821 patients with advanced gastric cancer who received PTAC treatment at the General Hospital of the Eastern Theater Command of the People's Liberation Army from January 2001 to January 2021 were collected. According to the treatment regimen, patients were divided into the FLEEOX group (89 cases), the XEEOX group (196 cases), the SEEOX group (406 cases), and the SEEOX+PD-1 group (130 cases). The primary endpoint was the 3-year progression-free survival rate. Secondary endpoints included the 3-year overall survival rate, objective response rate, radical resection rate, major pathological response rate, and incidence of treatment associated adverse events. Results: After PTAC treatment, the objective response rate was 74.9% (615/821). A total of 671 patients underwent radical surgery, with a radical resection rate of 81.7% and an R0 resection rate of 70.2% (576/821). The pathological complete response rate was 16.7% (112/671), and the major pathological response rate was 32.2% (216/671). With an average follow-up of 27.7 months, the 3-year progression-free survival rate was 52.2%, and the 3-year overall survival rate was 55.8%. The 3-year progression-free survival rate of patients in the SEEOX+PD-1 group was 66.9%, the objective response rate was 83.8% (109/130), the major pathological response rate was 45.3% (53/117), and the radical resection rate was 90.0% (117/130), all of which were better than those in the XEEOX and SEEOX groups (all P＜0.05). However, during the treatment period, three patients in the SEEOX+PD-1 group died from immune-related adverse events. Conclusion: PTAC treatment is an effective preoperative treatment method for advanced gastric cancer, and is expected to further improve the treatment effect when combined with immunotherapy such as PD-1 monoclonal antibodies.

Lung cancer is one of the malignant tumors with high morbidity and mortality worldwide. Small cell lung cancer (SCLC) is a highly aggressive neuroendocrine tumor that is closely associated with tobacco exposure, accounting for 13% to 15% of all lung cancer cases. It is characterized by a high proliferation rate and exceptional metastatic capacity. At the time of diagnosis, approximately 70% of the patients have metastasized and are classified as extensive-stage small cell lung cancer (ES-SCLC). From 1980 to 2018, chemotherapy and radiotherapy were the main treatment strategies for SCLC. Etoposide combined with platinum has remained the standard first-line treatment for ES-SCLC. Although SCLC is very sensitive to initial treatment, the majority of patients have disease progression within 6 months, and treatment options after recurrence are very limited, and the median survival time is only about 8-10 months. The advent of immune checkpoint inhibitors (ICIs), particularly programmed death-ligand 1 (PD-L1) and programmed death -1 (PD-1) inhibitors, has brought new hope to patients with SCLC. PD-1/PD-L1 plus chemotherapy have significantly prolonged overall survival of patients with ES-SCLC, which has become the new standard of first-line treatment for ES-SCLC. Currently, a raised number of immune checkpoint inhibitors (ICIs) have been approved in China for the treatment of SCLC, providing more treatment options for SCLC patients. To further standardize the clinical practice of SCLC immunotherapy, the "Expert consensus on immunotherapy for SCLC (2025 edition)" has been developed based on domestic and international guidelines, consensus, and relevant medical evidence, aiming to provide reference and guidance for domestic clinicians.

Objective: To explore the clinicopathological features of rectal neuroendocrine tumor (R-NET) G2, identify prognostic factors, and summarize treatment experience. Methods: The clinical data of patients diagnosed with R-NET G2 by pathological diagnosis admitted to Cancer Hospital of the Chinese Academy of Medical Sciences from January 2003 to September 2023 were retrospectively analyzed. The Fisher's exact test and Kaplan-Meier curves were performed to analyze the association between pathological features and prognosis. Results: A total of 22 patients were enrolled in this study and 21 patients were followed up for a period of 6-98 months with a median follow-up time of 42 months. 5 patients died due to tumor progression during the follow-up period. The 1-, 3-, and 5-year cancer-specific survival (CSS) of the whole group were 100.0%, 92.9%, and 69.6%, respectively. Of the 22 patients, 20 underwent surgical treatment, of which 15 underwent postoperative adjuvant therapy; 2 underwent medical treatment for liver and bone multiple metastases. The 5-year survival rates of patients with tumours ≥2 cm in length, T2-3 stage, lymph node metastasis, and distant metastasis (57.1%, 68.8%, 66.7%, and 63.6%, respectively) were shorter than those of patients with tumours <2 cm in length, T1 stage, no lymph node metastasis, and no distant metastasis (all 100.0%, P＜0.001). In addition, patients with liver metastases had larger primary tumor diameters and higher T-stages compared with those without distant metastasis (P＜0.05). Conclusions: R-NET G2 has a high degree of malignancy compared with G1 and a high propensity for metastasis. Clinicians should formulate appropriate diagnostic and treatment strategies based on factors such as tumor size, depth of invasion, lymph node status, presence of distant metastasis, and the location and extent of distant metastasis.