ObjectiveTo analyze the relation between the place of residence of patients with colorectal cancer (CRC) and patient compliance or regimen decision-making or outcomes for neoadjuvant therapy (NAT) in the current version of the Database from Colorectal Cancer (DACCA). MethodsThe version of DACCA selected for this analysis was updated on June 29, 2022. The patients were enrolled according to the established screening criteria and then assigned into inside and outside of Sichuan Province groups as well as inside and outside of Chengdu City groups. The differences in the patient compliance or regimen decision-making or outcomes (changes of symptom and imaging, and cancer marker carcinoembryonic antigen) for NAT were analyzed. ResultsA total of 3 574 data that met the screened criteria were enrolled, 3 142 (87.91%) and 432 (12.09%) were inside of Sichuan Province group and outside of Sichuan Province group, respectively; 1 340 (42.65%) and 1 802 (57.35%) were inside of Chengdu City group and outside of Chengdu City group in Sichuan Province, respectively. ① The constituent ratios of the patient compliance for NAT had no statistical differences between the inside and outside of Sichuan Province groups (χ2=0.299, P=0.585) as well as between the inside and outside of Chengdu City groups (χ2=3.109, P=0.078). ② In terms of the impact of the place of residence on the decision-making of NAT: For the patients with targeted therapy or not, there was a statistical difference between the inside and outside of Sichuan Province groups (χ2=5.047, P=0.025), but which had no statistical difference between the inside and outside of Chengdu City groups (χ2=0.091, P=0.762); For the patients with radiotherapy or not, there were no statistical differences in the constituent ratios of patients between the inside and outside of Sichuan Province groups as well as between the inside and outside of Chengdu City groups (χ2=2.215, P=0.137; χ2=2.964, P=0.085); For the neoadjuvant intensity, there was a statistical difference between the inside and outside of Sichuan Province groups (χ2=12.472, P=0.002), but which had no statistical difference between the inside and outside of Chengdu City groups (χ2=2.488, P=0.288). ③ The outcomes for NAT: The changes of carcinoembryonic antigen had no statistical differences between the inside and outside of Sichuan Province groups as well as between the inside and outside of Chengdu City groups (H=1.762, P=0.184; H=3.531, P=0.060); In the symptom changes, there was a statistical difference between the inside and outside of Sichuan Province groups (χ2=3.896, P=0.048), which had no statistical difference between the inside and outside of Chengdu City groups (χ2=0.016, P=0.900); In the image changes, the difference was statistically significant between the inside and outside of Chengdu City groups (χ2=7.975, P=0.005), but which had no statistical difference between the inside and outside of Sichuan Province groups (χ2=0.063, P=0.802). ConclusionsThrough data analysis in DACCA in this study, it is found that there are no statistical differences in compliance and carcinoembryonic antigen changes. However, decision-making of NAT for patients of inside and outside of Sichuan Province has different choices on whether to assist targeted therapy and chemotherapy intensity for NAT; Symptom changes of NAT in patients of inside of Sichuan Province has a better effect than in patients of outside of Sichuan Province; Imaging change of NAT in patients of inside of Chengdu City has a better effect than in patients of outside of Chengdu City.
ObjectiveTo analyze the details and efficacy of neoadjuvant therapy of colorectal cancer in the current version of Database from Colorectal Cancer (DACCA).MethodsThe DACCA version selected for this data analysis was the updated version on July 28th, 2020. The data items included “planned strategy of neoadjuvant therapy” “compliance of neoadjuvant therapy”, and “cycles of neoadjuvant therapy”. Item of “planned strategy of neoadjuvant therapy” included “accuracy of neoadjuvant therapy” and “once included in researches”. Item of “the intensity of neoadjuvant therapy” included “chemotherapy” “cycles of neoadjuvant therapy” “targeted drugs”, and “neoadjuvant radiotherapy”. Item of “effect of neoadjuvant therapy” included CEA value of “pre-neoadjuvant therapy” and “post-neoadjuvant therapy”“variation of tumor markers” “variation of symptom” “variation of gross” “variation of radiography”, and tumor regression grade (TRG). The selected data items were statistically analyzed.ResultsThe total number of medical records (data rows) that met the criteria was 7 513, including 2 539 (33.8%) valid data on the “accuracy of neoadjuvant therapy”, 498 (6.6%) valid data on “once included in researches”, 637 (8.5%) valid data on the “compliance of neoadjuvant therapy”, 2 077 (27.6%) valid data on “neoadjuvant chemotherapy”, 614 (8.2%) valid data on “cycles of neoadjuvant therapy”, 455 (6.1%) valid data on “targeted drugs”, 135 (1.8%) valid data on “neoadjuvant radiotherapy”, 5 022 (66.8%) valid data on “pre-neoadjuvant therapy CEA value”, 818 (10.9%) valid data on “post-neoadjuvant therapy CEA value ”, 614 (8.2%) valid data on “variation of tumor marker”, 464 (6.2%) valid data on “variation of symptom”, 478 (6.4%) valid data on “variation of gross”, 492 (6.5%) valid data on “variation of radiography”, and 459 (6.1%) valid data on TRG. During the correlation analysis, it appeared that “variation of tumor marker” and “variation of gross” (χ2=6.26, P=0.02), “variation of symptom” and “variation of gross”, “radiography” and TRG (χ2=53.71, P<0.01; χ2=38.41, P<0.01; χ2=8.68, P<0.01), “variation of gross” and “variation of radiography”, and TRG (χ2=44.41, P<0.01; χ2=100.37, P<0.01), “variation of radiography” and TRG (χ2=31.52, P<0.01) were related with each other.ConclusionsThe protocol choosing of neoadjuvant therapy has a room for further research and DACCA can provide data support for those who is willing to perform neoadjuvant therapy. The efficacy indicators of neoadjuvant therapy have association with each other, the better understand of it will provide more valuable information for the establishment of therapeutic prediction model.
Surgery following neoadjuvant therapy has become the standard treatment for middle- and late-stage resectable esophageal cancer. However, treatment modalities such as radiotherapy, chemotherapy, and surgery cause physical and psychological harm to patients, reducing their quality of life. Prehabilitation, as an emerging preoperative management strategy, integrates various measures, including exercise training, nutritional support, and psychological support. Its aim is to enhance patients’ physiological and psychological reserves prior to surgery, bolster their tolerance to surgical stress, and thus accelerate the postoperative recovery process. This approach is a key manifestation of the Enhanced Recovery After Surgery (ERAS) concept. This article reviews prehabilitation during neoadjuvant therapy for esophageal cancer patients from 3 aspects: intervention timing, intervention content, and barriers, with the aim of providing a reference for promoting early recovery in patients undergoing esophageal cancer surgery.
Neoadjuvant therapy has become the standard treatment for locally advanced resectable esophageal cancer, significantly improving long-term survival compared to surgery alone. Neoadjuvant therapy has evolved to include various strategies, such as concurrent chemoradiotherapy, chemotherapy, immunotherapy, or targeted combination therapy. This enriches clinical treatment options and provides a more personalized and scientific treatment approach for patients. This article aims to comprehensively summarize current academic research hot topics, review the rationale and evaluation measures of neoadjuvant therapy, discuss challenges in restaging methods after neoadjuvant therapy, and identify the advantages and disadvantages of various neoadjuvant therapeutic strategies.
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.
China is a country with a high incidence of esophageal cancer. Most patients are already in the locally advanced stage when first diagnosed. Preoperative neoadjuvant therapy followed by surgery has become the standard treatment mode for them. Closely related to prognosis, the evaluation of tumor response is essential. Response evaluation criteria in solid tumors is the gold standard to evaluate tumor response, but the lesions must meet the measurement standards. Tumor regression grading (TRG) systems are designed to classify regressive changes after neoadjuvant treatment based on histopathological results to reveal prognostic information. Concentrating on pathologic assessment of esophageal cancer following neoadjuvant therapy, this article reviews histopathological changes, commonly used TRG systems and current debate.
The incidence of esophagogastric junction adenocarcinoma is gradually increasing, and gastrointestinal surgery and thoracic surgery are paying more and more attention to its surgical treatment. “Chinese expert consensus on the surgical treatment of adenocarcinoma of esophagogastric junction (2018 edition)” discussed the core issues in the field of surgical treatment such as definition, classification, surgical approach, lymphadenectomy, digestive tract reconstruction, and neoadjuvant therapy for esophagogastric junction adenocarcinoma, and gave recommendations. However, there is still some controversy about these issues. The author discussed the consensus and controversial issues relevant to esophagogastric junction adenocarcinoma and related research progress in recent years.
Patients with locally advanced thyroid cancer often face challenges in achieving radical surgery during initial diagnosis. This has become a significant hurdle in the treatment of thyroid cancer. With the continuous development of systemic therapy for thyroid cancer, several studies have demonstrated that neoadjuvant therapy can shrink tumors in some patients, thereby increasing the chances of complete resection and improving prognosis. Targeted therapy plays a crucial role as a core component of neoadjuvant treatment. Simultaneously, the potential efficacy of immunotherapy has gained attention, showing promising prospects. We aim to summarize the research progress and existing issues regarding neoadjuvant therapy for locally advanced thyroid cancer. We look forward to more high-quality clinical studies providing robust evidence for neoadjuvant therapy in locally advanced thyroid cancer, expanding the breadth of treatment options.
Objective To evaluate the efficacy and safety of neoadjuvant immunotherapy combined with chemotherapy in patients with locally advanced resectable non-small-cell lung carcinoma. Methods The clinical data of patients with non-small cell lung cancer (NSCLC) who received neoadjuvant immunotherapy combined with chemotherapy and surgery after chemotherapy alone from April 2021 to January 2021 in the first People's Hospital, Jining, were retrospectively analyzed. According to the preoperative neoadjuvant regimen, the patients were divided into a combination group and a chemotherapy group, and the clinical data of the two groups were compared. ResultsA total of 66 patients were enrolled, including 61 males and 5 females. There were 53 patients in the combination group with an average age of 63.40±6.80 years, and 13 patients in the chemotherapy group with an average age of 58.62±8.30 years. There was statistical difference in age between the two groups (P=0.02), but no statistical difference in other baseline data (P＞0.05). MPR was 54.7% in the combination group and 23.1% in the chemotherapy group (P=0.042), and PCR was 39.6% in the combination group and 0.0% in the chemotherapy group (P=0.006). The combined group had a shorter operative time (P=0.039). There were no statistical differences in intraoperative bleeding, postoperative tube-carrying time, postoperative complications, OS or EFS between the two groups. Conclusion Surgery after neoadjuvant immunotherapy is safe and feasible, and long-term efficacy should be confirmed by further follow-up.
Objective To analyze the advantages and disadvantages of various neoadjuvant therapy , provide reference for clinical diagnosis and treatment, and provide direction for further research and exploration. Method The recent domestic and international medical databases (PubMed, EMBASE, Cochrane Library, VIP database, CNKI, WanFang database, etc.) were searched and the relevant literature on neoadjuvant therapy for locally advanced rectal cancer (LARC) were reviewed. Results Neoadjuvant therapy could decrease tumor staging, increase anal reserving rate, and reduce local recurrence rate, but it does not significantly reduce the rates of distant metastasis and lateral lymph node metastasis, nor does it improve long-term survival. More and more optimization neoadjuvant therapy had emerged. Molecular targeted drugs and immunotherapy were being attempted for clinical using, combined with research on emerging biomarkers, to improve the therapeutic efficacy of LARC patients, reduce treatment related side effects, and improve patient survival benefits. Conclusions Neoadjuvant therapy is the standard treatment strategy for LARC, and the exploration of neoadjuvant treatment models is expected to further improve treatment effectiveness, reduce toxic side effects, and improve survival prognosis. By combining tumor molecular biology indicators to identify and screen beneficiaries, it is expected to become an important direction for future research.