ObjectiveTo describe the research progress of long non-coding RNA (lncRNA) and gastric cancer in recent years, and to make reasonable prospect for future research direction.MethodWe collected a large amount of literatures on lncRNA and gastric cancer at home and abroad, and sort out various kinds of lncRNA, to make an in-depth interpretation of the relationship between lncRNA and gastric cancer and the mechanism of action, and then clarified the latest research progress.ResultsAt present, the molecular mechanism of the occurrence and development of gastric cancer had not been fully elucidated, but current studies had shown that lncRNA (H19, HOTTIP, UCA1, MEG3, MALAT1, HULC, HOTAIR, GAPLINC, and so on) had regulatory effects at multiple levels such as epigenetics, transcription, translation, chemoresistance, and more and more lncRNA had been discovered closely related to gastric cancer.ConclusionlncRNA is closely related to the occurrence and development of gastric cancer and may be a key target for the treatment of gastric cancer in the future.
ObjectiveTo summarize the current treatment status and progress of neoadjuvant chemotherapy for pancreatic cancer in order to improve the understanding of neoadjuvant chemotherapy and to guide clinical work.MethodThe relevant literatures at home and abroad on neoadjuvant chemotherapy for pancreatic cancer were readed and reviewed.ResultsNeoadjuvant chemotherapy could reduce tumor lesions, increase R0 resection rate, decrease postoperative complication rate, and improve patients’ survival, however, there was currently no high quality evidence-based medicine proof. At present, there was no unified neoadjuvant chemotherapy regimens for pancreatic cancer in the world. FOLFIRINOX, gemcitabine plus S-1, and gencitabine plus Nab-paclitaxel were the three common regimens we used. In addition, the neoadjuvant chemotherapy of pancreatic cancer had no uniform standard, and there were insufficient methods for evaluating therapeutic effects.ConclusionAlthough there are still some core problems need to be solved in neoadjuvant chemotherapy for pancreatic cancer, however, it’s curative effect is gradually recognized and widely used by clinicians, which is beneficial to provide a better prognosis for pancreatic cancer patients.
ObjectiveTo explore the value of a decision tree (DT) model based on CT for predicting pathological complete response (pCR) after neoadjuvant chemotherapy therapy (NACT) in patients with locally advanced rectal cancer (LARC).MethodsThe clinical data and DICOM images of CT examination of 244 patients who underwent radical surgery after the NACT from October 2016 to March 2019 in the Database from Colorectal Cancer (DACCA) in the West China Hospital were retrospectively analyzed. The ITK-SNAP software was used to select the largest level of tumor and sketch the region of interest. By using a random allocation software, 200 patients were allocated into the training set and 44 patients were allocated into the test set. The MATLAB software was used to read the CT images in DICOM format and extract and select radiomics features. Then these reduced-dimensions features were used to construct the prediction model. Finally, the receiver operating characteristic (ROC) curve, area under the ROC curve (AUC), sensitivity, and specificity values were used to evaluate the prediction model.ResultsAccording to the postoperative pathological tumor regression grade (TRG) classification, there were 28 cases in the pCR group (TRG0) and 216 cases in the non-pCR group (TRG1–TRG3). The outcomes of patients with LARC after NACT were highly correlated with 13 radiomics features based on CT (6 grayscale features: mean, variance, deviation, skewness, kurtosis, energy; 3 texture features: contrast, correlation, homogeneity; 4 shape features: perimeter, diameter, area, shape). The AUC value of DT model based on CT was 0.772 [95% CI (0.656, 0.888)] for predicting pCR after the NACT in the patients with LARC. The accuracy of prediction was higher for the non-PCR patients (97.2%), but lower for the pCR patients (57.1%).ConclusionsIn this preliminary study, the DT model based on CT shows a lower prediction efficiency in judging pCR patient with LARC before operation as compared with homogeneity researches, so a more accurate prediction model of pCR patient will be optimized through advancing algorithm, expanding data set, and digging up more radiomics features.
ObjectiveTo investigate the relation between mammographic density (MD) and the efficacy of neoadjuvant chemotherapy (NACT) for patients with breast cancer. MethodsThe clinicopathologic data of patients diagnosed with breast cancer in the Affiliated Hospital of Southwest Medical University from January 2019 to December 2021 and met the inclusion and exclusion criteria of this study were collected. According to the 5th edition of the Breast Imaging-Reporting and Data System, the MD was classified into 4 categories: a, b, c, and d. Based on the pathological evaluation systems of Miller-Payne and Residual Cancer Burden, the new and improved pathological criteria was structured including the residual cancer cell and lymph node statuses to evaluate the pathological changes of breast cancer after NACT. After adjusting the factors affecting MD, the original model (only including MD categories as independent variables), the minimum adjustment model (adding age, body mass index, and menopausal status as independent variables), and the fully adjusted model (further including estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2, Ki-67, axillary lymph node status at the initial diagnosis, and NACT regimen) were used to analyze the relation between MD and NACT effect. In the 3 models, the MD category a was used as the reference. ResultsA total of 287 patients with breast cancer were enrolled in this study. Thirty-eight, 76, 114, and 59 of whom with MD category a, b, c, and d respectively, and 14, 74, 117, and 82 of whom with grade L1, L2, L3, and L4 of NACT effect respectively. No matter in integrated patients or premenopausal patients, the results of the fully adjusted model showed that, the regression coefficient of MD classification was negative, and with the increase of MD classification, the odds ratio was <1 and showed a decreasing trend. ConclusionsFrom the results of this study, the increase of MD classification may have a negative impact on the effect of NACT. Namely, effect of NACT is poor in integrated patients or premenopausal patients of whom with higher MD. MD can be used as a predictor of NACT effect, so as to guide doctors in the selection and individual management of neoadjuvant therapy, and improve the prognosis of patients with breast cancer.
This paper aims to investigate the value of diffusiion weighted imaging (DWI) and different apparent diffusion coefficient (ADC) methods to predict the curative effects of neoadjuvant chempotherapy (NAC) for breast cancer. From March 2010 to December 2012, seventy-one patients were pathologically confirmed invasive breast cancer by needle puncture biopsy received before surgery, and underwent magnetic resonance before and after NAC, the ADC were measured by mean ADC method and lower ADC method. The pathologic response after NAC was divided to major histological response (MHR) group and non-major histological response (NMHR) group according to Miller & Payne system. Results displayed that ADC values obtained before NAC, at the end of the second cycle of NAC, and after whole course of treatment, had good correlations between mean and lower ADC methods (the Pearson's correlation=0.699, 0.749 and 0.895, respectively). Significant difference in ADC obtained both with mean and lower ADC methods could be found between MHR and NMHR groups after the second cycle of NAC (P<0.05). After the second cycle of NAC, significant difference in the change rate of ADC could be found between MHR and NMHR groups by using lower ADC method (P<0.05), but not be found by using mean ADC method (P＞0.05). In conclusion, DWI could monitor the pathologic changes of breast cancer after NAC, and the lower ADC method might be used to evaluate the curative effect of NAC with the change rate of ADC.
Objective To evaluate the safety and efficacy of neoadjuvant therapy followed by minimally invasive esophagectomy (MIE) for locally advanced esophageal cancer. Methods We retrospectively analyzed clinical data of 56 consecutive patients with locally advanced esophageal cancer treated by neoadjuvant therapy followed by surgery in our hospital between January 2015 and December 2016. There were 51 males and 5 females. The patients were divided into 2 groups. Neoadjuvant therapy followed by open surgery esophagectomy group was as an OE group with 25 patients aged 61 (50-73) years. And neoadjuvant therapy followed by MIE was as a MIE group with 31 patients aged 60 (55-79) years. Results The pathologic complete response (pCR) rate of 28 patients with neoadjuvant concurrent chemoradiotherapy was significantly higher than that of 28 patients with neoadjuvant chemotherapy (21.4% vs. 10.7%, P<0.05). The operation time, intraoperative blood loss, R2 rate and the number of lymph nodes dissection in the MIE group were obviously better than those of the OE group with statistical differences (P<0.05). However, there was no significant difference in the number of resected lymph nodes along the bilateral recurrent laryngeal nerves and lymph node metastasis rate (P>0.05) between the two groups. The incidence of postoperative respiratory complications in the MIE group was lower than that of the OE group (P=0.041). There was no significant difference between the two groups in the incidence of other complications, re-operation, re-entry to ICU, median length of stay or perioperative deaths (P>0.05). There was only one patient with neoadjuvant concurrent chemoradiotherapy in the OE group died due to gastric fluid asphyxia caused by trachea-esophageal fistula. Conclusion Neoadjuvant therapy followed by MIE for locally advanced esophageal cancer is safe and feasible. The oncological outcomes seem comparable regardless of OE.
ObjectiveTo summarize advances of neoadjuvant chemotherapy (NACT) in treatment for locally advanced gastric cancer (AGC) in recent years, in order to providing reference for development of NACT and application of clinical research.MethodThe domestic and foreign literatures about the NACT for the AGC were reviewed.ResultsThe efficacy and safety of NACT had been affirmed, but there were still many questions in the clinical practice, such as the selection of NACT regimen, indications, number of chemotherapy cycles, whether to combine targeted therapy, the selection of treatment and restaging after the NACT, and relevant researches were still underway.ConclusionsTherapy methods of AGC are varied and NACT has an obvious effect, which has become one of the most important treatments for AGC. However, there are still many problems in clinical practice, further research is needed.
ObjectiveTo understand the progress of postmastectomy radiotherapy (PMRT) in patients with T1–2N1M0 breast cancer. MethodThe studies and the treatment guidelines relevant to PMRT in the patients with T1–2N1M0 breast cancer in recent years were analyzed and summarized. ResultsThe ability of PMRT to improve the prognosis of patients with T1–2N1M0 breast cancer remained controversial. Owing to the patients with T1–2N1M0 breast cancer were heterogeneous, and the indications for PMRT had not been standardized. With the increasing use of neoadjuvant chemotherapy for early-stage breast cancer, some studies had attempted to formulate decisions about PMRT based on changes in tumor characteristics before and after neoadjuvant chemotherapy, but the findings were currently controversial. ConclusionsWhether PMRT can improve prognosis and decision-making for patients with T1–2N1M0 breast cancer is still controversial. Some ongoing clinical trials may provide some references for the optimal decision-making of PMRT for patients with T1–2N1M0 breast cancer.
ObjectiveTo analyze the risk factors influencing major postoperative complications (MPC) after minimally invasive radical gastrectomy for gastric cancer following neoadjuvant chemotherapy (NACT), and to construct a nomogram for accurately predicting MPC risk factors, and provide a reference for clinical decision-making. MethodsThe gastric cancer patients who underwent minimally invasive radical gastrectomy in the Department of General Surgery of the First Medical Center of the Chinese PLA General Hospital from February 2012 to December 2022 and met the inclusion criteria of this study were retrospectively collected. The univariate and multivariate logistic regression model were used to evaluate the risk factors influencing MPC and a nomogram model was constructed. The MPC were defined as Clavien-Dindo classification grade Ⅱ and beyond. The area under the receiver operating characteristic curve (AUC) and the calibration curve were used to evaluate the discrimination and accuracy of the nomogram model. ResultsA total of 362 patients were included in this study, among whom 65 cases (18.0%) experienced MPC. The multivariate logistic regression analysis showed that the age ≥58 years old, body mass index (BMI) ≥25 kg/m2, tumor long diameter ≥30 mm, operative time ≥300 min, and preoperative neutrophil-to-lymphocyte ratio (NLR) ≥3.7 were the risk factors influencing MPC. The nomogram model constructed using the above variables showed that the AUC (95%CI) was 0.731 (0.662, 0.801) in predicting the risk of MPC. The calibration curves showed that the prediction curve of the nomogram in predicting the MPC was agree well with the actual MPC (Hosmer-Lemeshow test: χ2=9.293, P=0.056). ConclusionFrom the results of this study, nomogram model constructed by combining age, BMI, tumor long diameter, operative time, and preoperative NLR can distinguish between patients with and without MPC after minimally invasive radical gastrectomy for gastric cancer following NACT, and has a better accuracy.
ObjectiveTo investigate the factors of breast cancer patients who met breast-conserving conditions after neoadjuvant chemotherapy when choosing surgical mode.MethodsA questionnaire survey was conducted on 228 breast cancer patients who met breast-conserving conditions after neoadjuvant chemotherapy. Chi square test, nonparametric rank sum test and binary logistic regression were used to analyze the factors affecting the choice of surgical mode.ResultsUnivariate analysis showed that age, clinical stage, family history of cancer, molecular type, neoadjuvant chemotherapy effect, surgeon’s recommendation, chemotherapy side effects, and surgical complications were the factors affecting patient’s chose for breast-conserving surgery (P<0.05). Multivariate analysis showed that the effect of neoadjuvant chemotherapy [OR=0.312, 95%CI (0.255, 0.662), P<0.001] and the surgeon’s recommendation [OR=53.947, 95%CI (4.570, 6.239), P=0.002] were independent factors that affected the choice of surgery.ConclusionsThe decision of the surgical mode is a process in which doctors and patients participate together. Individualized neoadjuvant chemotherapy improves the remission rate and the progress of the surgeon’s comprehensive treatment strategy can play a role in improving the breast-conserving rate and the rate of breast-conserving success. Doctors should give positive guidance in accordance with the specific situation of the patient to make the best choice.