Objective To explore the clinical value, latest research progress, and clinical controversy of total neoadjuvant therapy (TNT) in locally advanced rectal cancer (LARC). Method We searched and reviewed on the latest literatures about studies of the clinical research of TNT in LARC. Results TNT could make the tumor downstage rapidly and improve the patients’ treatment compliance. In terms of organ preservation rate, 3-year disease-free survival and pathological complete remission rate, TNT had advantages and was a especial potential treatment strategy compared with traditional methods. Conclusions TNT decreases local recurrence rate and improves the long-term survival. For LARC patients with strong desire for organ preservation, TNT is a good treatment choice and has the value of clinical promotion.
ObjectiveTo analyze the relation between educational level of patients with colorectal cancer (CRC) and decision-making and curative effect of neoadjuvant therapy (NAT) in the current version of the Database from Colorectal Cancer (DACCA). MethodsThe eligible CRC patients were collected from June 29, 2022 updated DACCA according to the screening criteria and were assigned into 4 groups according to their educational level, namely, uneducated, primary educated, secondary educated, and tertiary educated. The differences in NAT decision-making, cancer marker change, symptomatic change, gross change, imaging change, and tumor regression grade (TRG) among the CRC patients with different educational levels were compared. ResultsA total of 2 816 data that met the screening criteria were collected, 138 of whom were uneducated, 777 of whom were primary educated, 1 414 of whom were secondary educated, and 487 of whom were tertiary educated. The analysis results revealed that the difference in the composition ratio of patients choosing NAT regimens by educational level was statistically significant (χ2=30.937, P<0.001), which was reflected that the composition ratio of choosing a simple chemotherapy regimen in the uneducated CRC patients was highest, while which of choosing combined targeted therapy regimen in the tertiary educated CRC patients was highest. In terms of treatment outcomes, the composition ratios of changes in cancer markers (H=4.795, P=0.187), symptoms (H=1.722, P=0.632), gross (H=2.524, P=0.471), imaging (H=2.843, P=0.416), and TRG (H=2.346, P=0.504) had no statistical differences. ConclusionsThrough data analysis in DACCA, it is found that the educational level of patients with CRC can affect the choice of NAT scheme. However, it is not found that the educational level is related to the changes in the curative effect of patients with CRC before and after NAT, and further analysis is needed to determine the reasons for this.
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.
Surgery has remained the cornerstone of lung cancer therapy. Sleeve lobectomy, which is featured by not only the maximal resection of tumors but also the maximal preservation of functional lung parenchyma, has been proved to be a valid therapeutic option for the treatment of some centrally located lung cancer . Evidence points toward equivalent oncologic outcomes with improved survival and quality of life after sleeve resections compared with pneumonectomy. However, the postoperative morbidities and the long-term results after sleeve lobectomy remain controversial, especially in relation to nodal involvement and after induction therapy. With the development of technology, minimally invasive procedures have been performed more and more widely.
Objective To explore the accuracy of contrast-enhanced magnetic resonance imaging (MRI) in predicting pathological complete remission (pCR) in breast cancer patients after neoadjuvant therapy (NAC). Methods The clinicopathological data of 245 patients with invasive breast cancer who had completed the surgical resection after NAC in the Affiliated Hospital of Southwest Medical University from March 2020 to April 2022 were collected retrospectively. According to the results of hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) detected by immunohistochemistry, all patients were divided into four subgroups: HR+/HER2–, HR+/HER2+, HR–/HER2+ and HR–/HER2–. The value of MRI in evaluating the efficacy of NAC was analyzed by comparing the postoperative pathological results as the gold standard with the residual tumor size assessed by preoperative MRI. Meanwhile, the sensitivity, specificity and positive predictive value (PPV) of pCR predicted by the evaluation results of enhanced MRI were analyzed, and further analyzed its predictive value for pCR of different subtypes of breast cancer. Results There were 88 cases (35.9%) achieved radiological complete response (rCR) and 106 cases (43.3%) achieved pCR in 245 patients. Enhanced MRI in assessing the size of residual tumors overestimated and underestimated 12.7% (31/245) and 9.8% (24/245) of patients, respectively. When setting rCR as the MRI assessment index the specificity, sensitivity and PPV were 84.2% (117/139), 62.3% (66/106) and 75.0% (66/88), respectively. When setting near-rCR as the MRI assessment index the specificity, sensitivity and PPV were 70.5% (98/139), 81.1% (86/106), and 67.7% (86/127), respectively. The positive predictive value of both MRI-rCR and MRI-near-rCR in evaluating pCR of each subtype subgroup of breast cancer was the highest in the HR–/HER2+ subgroup (91.7% and 83.3%, respectively). In each subgroup, compared with rCR, the specificity of near-rCR to predict pCR decreased to different degrees, while the sensitivity increased to different degrees. Conclusions Breast contrast-enhanced MRI can more accurately evaluate the efficacy of localized breast lesions after NAC, and can also more accurately predict the breast pCR after NAC. The HR–/HER2+ subgroup may be a potentially predictable population with pCR exemption from breast surgery. However, the accuracy of the evaluation of pCR by breast enhancement MRI in HR+/HER2– subgroup is low.
The standard treatment for locally advanced rectal cancer is neoadjuvant chemoradiotherapy combined with surgery, but patients after the same treatment regimen show a large difference in outcomes. For patients with good response to neoadjuvant therapy, the waiting & observation scheme can be selected to avoid surgery and other complications. Therefore, accurate assessment of the response of patients with locally advanced rectal cancer after neoadjuvant therapy can better develop personalized treatment strategies. Current studies have found that blood sample detection, endoscopy, imaging examination and artificial intelligence have their own advantages and disadvantages in evaluating the response of neoadjuvant therapy. Therefore, this article reviews the application of different clinical tools in evaluating and predicting the response of neoadjuvant therapy for locally advanced rectal cancer, and looks forward to the future development direction.
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.
Objective To evaluate the outcomes of sleeve resection following neoadjuvant chemoimmunotherapy for lung cancer. Methods The clinical data of patients diagnosed with lung cancer and underwent sleeve lobectomy surgery at Tianjin Chest Hospital were retrospectively analyzed. Patients were divided into two groups: a neoadjuvant treatment group and a surgery alone group. The clinical data of two groups were compared. Results Finally 22 patients were collected, including 19 males and 3 females with a median age of 63 years. There were 7 patients in the neoadjuvant treatment group, and 15 patients in the surgery alone group. There was no statistical difference in surgical time, intraoperative bleeding, lymph node dissection, postoperative catheterization time, or postoperative drainage volume between the two groups (P>0.05). In the neoadjuvant treatment group, 1 patient had a second thoracotomy exploration for hemostasis due to bronchial artery bleeding, 2 patients had wound infection, 1 patient had immune-associated pneumonia before surgery, and 1 patient had immune-associated pneumonia before postoperative adjuvant therapy. Postoperative pathological results of patients in the neoadjuvant treatment group showed that 1 (1/7, 14.3%) patient had pathological complete response, and 3 (3/7, 42.9%) patients achieved major pathological response. Conclusion Neoadjuvant chemoimmunotherapy can lead to complications, including operation-related complications and immunotherapy-related complications. However, the degree of postoperative pathological remission is also significantly improved. Overall, sleeve resection following neoadjuvant chemoimmunotherapy can be considered as a treatment option for patients with lung cancer.
Objective To investigate the clinicopathological characteristics of HER2 protein expression in different degrees in human epidermal growth factor receptor 2 (HER2) negative breast cancer and the factors related to the efficacy of neoadjuvant chemotherapy in breast cancer with low HER2 expression. Methods The clinicopathological data of 161 patients with HER2-negative breast cancer who received neoadjuvant chemotherapy in the Department of Breast Surgery, Affiliated Hospital of Southwest Medical University from March 2019 to March 2022 were retrospectively collected. The difference of clinical and pathological characteristics of patients with different levels of HER2 protein expression were analyzed, and the factors influencing the pathological complete remission (pCR) rate of breast cancer patients with low HER2 expression after neoadjuvant chemotherapy with unconditional logistic regression model were analyzed. Results Among 161 HER2 negative breast cancer patients, 108 cases were low HER2 expression, accounting for 67.1%. Compared with those with zero expression of HER2 [immunohistochemistry (IHC) 0], the patients with low HER2 expression had higher axillary lymph node metastasis rate (P=0.048), lower histological grade (P=0.006), and higher proportion of positive hormone receptor expression (P<0.001). There was no significant difference in pCR rate among the HER2 IHC 0, IHC 1+ and IHC 2+ / in situ hybridization (ISH)– (P=0.099) , and the pCR rate of low expression of HER2 was lower than that of zero expression of HER2 in the general population and Luminal subgroup, and the difference was statistically significant (P<0.05). There was no significant difference in triple negative breast cancer subgroup (P=0.814). The logistic regression analysis showed that age, histological grade and estrogen receptor expression status were independent influencing factors for pCR rate after neoadjuvant chemotherapy with low HER2 expression (P<0.05). Conclusions Different degrees of HER2 protein expressions in patients with HER2-negative breast cancer have unique clinicopathological characteristics. The pCR rate of neoadjuvant chemotherapy in patients with low HER2-expression breast cancer is lower than that in patients with zero HER2-expression breast cancer. Age, histological grade and estrogen receptor expression status are independent factors influencing the pCR rate of neoadjuvant chemotherapy in patients with low HER2-expression breast cancer.
ObjectiveTo study the value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in predicting and evaluating the efficacy of neoadjuvant chemoradiotherapy (NCRT) in the middle-low locally advanced rectal cancer (LARC).MethodsThe patients were included prospectively who were clinically diagnosed as the LARC and were scheduled to undergo the NCRT and total mesorectal excision (TME) in the Sichuan Provincial People’s Hospital from February 2018 to November 2019. The routine MRI and DCE-MRI were performed before and after the NCRT, then the TME was performed. According to the score of tumor regression grade (TRG), the patients with TGR score of 0, 1 or 2 were classified as the response to NCRT group, and those with TRG score of 3 were classified as the non-response to NCRT group; in addition, the patients with TGR score of 0 or 1 were classified as the good-response group, with TRG score of 2 or 3 were classified as the poor-response group. The differences of quantitative perfusion parameters of DCE-MRI between two groups were compared, including the volume transfer constant (Ktrans), flux rate constant (Kep), and extravascular extracellular volume fraction (Ve) and the change rates of these parameters (ΔKtrans, ΔKep, and ΔVe).ResultsForty-one patients who met the inclusion criteria were included in this study, including 27 cases in the response to NCRT group and 14 cases in the non-response to NCRT group; 11 cases in the the good-response group and 30 cases in the poor-response group. ① The values of Ktrans before the NCRT and the ΔKtrans in the response to NCRT group were higher than those in the non-response to NCRT (P<0.05), while the other indexes had no significant differences between these two groups (P>0.05). The area under the receiver operating characteristic curve (AUCs) of Ktrans and ΔKtrans in predicting the efficacy of NCRT were 0.954 and 0.709, respectively. When the optimal thresholds of Ktrans and ΔKtrans were 0.122/min and –24.2%, the specificity and sensitivity were 85.7%, 96.3% and 100%, 51.7%, respectively. ② The Ktrans value in the good-response group was higher before NCRT and which was lower after NCRT as compared with the poor-response group (P<0.05). The absolute value of the the ΔKtrans and ΔKep in the good-response group were higher than those in the poor-response group (P<0.05). The other indexes had no significant differences between these two groups (P>0.05). The AUC of Ktrans before NCRT in predicting the efficacy of NCRT was 0.953. When the optimal thresholds of Ktrans before NCRT was 0.158 /min, the specificity and sensitivity were 88.7% and 90.9%, respectively. The AUC of ΔKtrans in predicting the efficacy of NCRT was higher than that of the ΔKep (0.952 versus 0.764, Z=2.063, P=0.039). When the optimal threshold of ΔKtrans was –38.8%, the specificity and sensitivity were 76.7% and 100%, respectively.ConclusionsDCE-MRI can predict and evaluate the effect of NCRT in patients with middle-low LARC, especially Ktrans and ΔKtrans (change rate before and after NCRT) have a high diagnostic efficiency.