Efficacy Of Neoadjuvant Chemotherapy Research Articles

Prognostic significance of platelet-to-lymphocyte ratio (PLR) in patients with breast cancer treated with neoadjuvant chemotherapy: a meta-analysis

ObjectivePlatelet-to-lymphocyte ratio (PLR), known as a key systemic inflammatory parameter, has been proved to be associated with response to neoadjuvant therapy in breast cancer (BC); however, the results remain controversial....

Utility of contrast-enhanced harmonic endoscopic ultrasonography for prediction of pathological response after neoadjuvant chemotherapy in patients with pancreatic cancer

ObjectivesContrast-enhanced harmonic endoscopic ultrasonography (CH-EUS) plays an important role in the diagnosis of pancreatic lesions. The aim of this study was to evaluate whether CH-EUS is useful for predicting the treatment efficacy of neoadjuvant chemotherapy (NAC) determined by pathological response. MethodsPatients who underwent CH-EUS before chemotherapy and surgical resection were divided into two groups according to poor (group-P) or rich tumor vascularity (group-R) determined by enhancement pattern on early- and late-phase CH-EUS. The pathological response to chemotherapy was categorized according to Evans’ classification. Pathological analysis showing tumor cell destruction (>50 %) defined a good response. ResultsEarly-phase CH-EUS classified 44 patients into group-R and 50 into group-P, whereas late-phase CH-EUS classified 10 into group-R and 84 into group-P. Early-phase CH-EUS classification resulted in significantly higher numbers of patients with a good response in the rich group (n = 19) than in the poor group (n = 4; P = 0.0015). Multivariate analysis showed that assignment to the rich group was the strongest independent factor associated with chemosensitivity (P = 0.006, hazard ratio = 5.66, 95 % confidence interval: 1.17–19.27). In resectable patients, the enhancement pattern was the only independent factor associated with chemosensitivity (group-P vs. group-R, P = 0.003; HR [95 % CI], 14.59 [1.38–154.38]). Late-phase CH-EUS did not reveal a significant difference between group-P and group-R. ConclusionsEvaluation of vascular pattern on CH-EUS could be useful for predicting the efficacy of NAC in patients with pancreatic cancer. The enhancement pattern on CH-EUS could be a one of the useful features for determining NAC indications in resectable pancreatic cancer patients.

Genetic polymorphisms of GGT1 gene (rs8135987, rs5751901 and rs2017869) are associated with neoadjuvant chemotherapy efficacy and toxicities in breast cancer patients

BackgroundOur previous study illustrated the predictive value of serum gamma-glutamyl transpeptidase (GGT) for neoadjuvant chemotherapy (NAC) sensitivity in breast cancer patients. In this study we aim to determine whether single nucleotide polymorphisms (SNPs) in the gamma-glutamyltransferase 1 (GGT1) gene are related to the NAC response and adverse events and to find out a genetic marker in predicting NAC sensitivity.MethodsThree SNP loci (rs8135987, rs5751901, rs2017869) of GGT1 gene were selected and tested among breast cancer patients reciving NAC. Four genotype models were used in SNP analysis: co-dominant model compared AA vs. Aa vs. aa; dominant model compared AA vs. Aa + aa; recessive model compared AA + Aa vs. aa; over-dominant model compared AA + aa vs. Aa. Chi-squared test and multivariable logistic regression analysis were performed between SNP genotypes, haplotypes and pathological complete response(pCR), adverse events as well as serum GGT level.ResultsA total of 143 patients were included in the study. For SNP rs8135987 (T > C), the TC genotype in over-dominant model was inversely related with pCR (adjusted OR = 0.30, 95% CI 0.10–0.88, p = 0.029) as well as the risk of peripheral neuropathy (adjusted OR = 0.39, 95% CI 0.15–0.96, p = 0.042). The TC genotype in dominant model was significantly associated with elevated serum GGT level (OR = 3.11, 95% CI 1.07–9.02, p = 0.036). For rs2017869 (G > C), the occurrence of grade 2 or greater neutropenia (OR = 0.39, 95% CI 0.08–0.84, p = 0.025) and leukopenia (OR = 0.24, 95% CI 0.08–0.78, p = 0.017) were both significantly reduced in patients with CC genotypes. For rs5751901(T > C), the CC genotype could significantly reduce the risk of grade 2 or greater neutropenia (OR = 0.29, 95% CI 0.09–0.96, p = 0.036) and leukopenia (OR = 0.27, 95% CI 0.09–0.84, p = 0.024) in recessive model.ConclusionsThe GGT1 gene SNPs might be an independent risk factor for poor response of NAC in breast cancer patients, providng theoretical basis for further precision therapy.

The efficacy of neoadjuvant chemotherapy is different for type 4 and large type 3 gastric cancer

BackgroundIn the JCOG0501 study, neoadjuvant chemotherapy (NAC) failed to demonstrate survival benefits for type 4 and large type 3 gastric cancer (GC). The prognosis of these patients is still poor. We conducted this study to explore the value of NAC with non-SP regimens for type 4 and large type 3 ​GC in the Chinese population. MethodsWe retrospectively collected data from our electronic medical record system. Patients with large type 3 or type 4 ​GC who underwent D2 gastrectomy and AC were included. Patients were divided into two groups based on whether they received NAC: the CSC (NAC ​+ ​surgery ​+ ​AC) and SC (surgery ​+ ​AC) groups. The survival and perioperative outcomes for large type 3 or type 4 ​GC were analyzed between the CSC and SC groups, separately. ResultsBetween May 2009 and December 2018, 189 patients were reviewed. Among large type 3 ​GC, the 5-year overall survival (OS) rates for patients in the CSC and SC groups were 54.4 ​% and 28.0 ​%, respectively (P ​= ​0.0008). Among type 4 ​GC, the 5-year OS rates for patients in the CSC and SC groups were 15.8 ​% and 24.8 ​%, respectively (P ​> ​0.05). ConclusionsThis study showed NAC can improve the prognosis of large type 3 ​GC. However, NAC did not demonstrate significant survival advantages for type 4 ​GC.

Pediatric adrenocortical carcinoma: clinical features and application of neoadjuvant chemotherapy

ObjectiveTo summarize the clinical characteristics of children with adrenocortical carcinoma (ACC) and preliminarily explore the indications for and efficacy of neoadjuvant chemotherapy in certain patients.MethodsThe data of 49 children with adrenocortical tumors (ACT) in the past 15 years were retrospectively analyzed, and after pathology assessment using Weiss system grading, 40 children diagnosed with ACC were included. Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 and three-dimensional (3D) reconstruction of contrast-enhanced computed tomography data were used to evaluate the response to neoadjuvant chemotherapy.ResultsForty patients (17 males, 23 females) with ACC were enrolled. Abnormal hormone levels were common in children with ACC (n = 31), and in terms of clinical presentation, sexual precocity was the most common (n = 14, 35.0%), followed by Cushing’s syndrome (n = 12, 30.0%). Seven of 40 children received neoadjuvant chemotherapy due to a maximum lesion diameter greater than 10 cm (n = 4), invasion of surrounding tissues (n = 2), intravenous tumor thrombus (n = 2), and/or distant metastasis (n = 2); 2 patients achieved partial response, and 5 had stable disease according to the RECIST 1.1 standard. Furthermore, 3D tumor volume reconstruction was performed in 5 children before and after neoadjuvant chemotherapy. Tumor volumes were significantly reduced in all 5 children, with a median volume reduction of 270 (interquartile range, IQR 83, 293) (range: 49–413) ml. After surgery with/without chemotherapy, the 5-year overall survival rate for all children was 90.0% (95% CI-confidence interval 80.0–100.0%), and the 5-year event-free survival rate was 81.5% (95% CI 68.0–97.7%).ConclusionIn the diagnosis and treatment of pediatric ACC, a comprehensive endocrine evaluation is necessary to facilitate early diagnosis. Surgery and chemotherapy are important components of ACC treatment, and neoadjuvant chemotherapy should be considered for children with ACC who meet certain criteria, such as a large tumor, distant metastases, or poor general condition.

Predictive factors for response to neoadjuvant chemotherapy: inflammatory and immune markers in triple-negative breast cancer.

Tumor-infiltrating lymphocytes (TILs) predict response to neoadjuvant chemotherapy (NAC) in triple-negative breast cancer (TNBC) patients. However, the TIL level can be determined at a few facilities. By contrast, neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are easily and objectively determined from the results of full blood counts. We conducted a retrospective study to investigate whether TILs, NLR, and PLR predict NAC efficacy and whether NLR and PLR could be surrogate markers for TILs in TNBC. Of the 266 patients diagnosed with TNBC between 2013 and 2019, 66 who underwent radical surgery after sequential administration of anthracycline and taxane as NAC were included in the study. TILs, NLR, and PLR were evaluated as predictors of pathologic complete response (pCR) using cutoff values determined from receiver operating characteristic curves. The cutoff values of TILs, NLR, and PLR were 20%, 2.6, and 180, respectively. High TIL level was associated with low NLR (P = 0.01) and low PLR (P = 0.01). High TIL level (odds ratio [OR] 4.28 [95% CI 1.40-13.1]; P = 0.01), low NLR (OR 5.51 [95% CI 1.60-18.9]; P = 0.01), and low PLR (OR 3.29 [95% CI 1.13-9.57]; P = 0.03) were associated with pCR. Low NLR predicted pCR independently (OR 6.59 [95% CI 1.45-30.0]; P = 0.01). TILs, NLR, and PLR predicted NAC efficacy against TNBC. TIL level was associated with NLR and PLR. NLR was an independent predictive factor and may be a useful surrogate marker for TILs when predicting pCR.

The study of ultrasonography based on deep learning in breast cancer

ObjectiveThrough the dynamic observation, treatment, and nursing experience of patients with advanced breast cancer, we can accumulate rich clinical experience and do a better job in nursing. MethodsDeep learning radiology (DLR) extracted in-depth features from medical images through different frameworks and further analyzed the extracted deep features. The dynamic observation, treatment, and nursing of 50 patients with advanced breast cancer from hospital diagnosis provided patients with rapid, effective, and definite treatment and nursing measures. As a result, 49 patients (99%) were discharged from the hospital with improved and stable conditions. Conclusion Effective treatment and careful nursing for patients with advanced breast cancer as soon as possible will help to improve their quality of life, prolong their life cycle, reduce mortality, and assist clinical practice. ResultsCompared to traditional imaging omics, ultrasound-based DLR also needs some help, as it requires direct learning of features from data and a large dataset. Although there are more medical images than ever before, it is difficult to collect a large amount of data due to issues such as data privacy protection and complex artificial image annotation. In this comparative study, DLR can automatically extract deep features without relying on manual labeling by doctors, further improving its accuracy and reliability in tumor diagnosis and prognosis prediction. Ultrasound is the primary way of early diagnosis of breast cancer. ConclusionBy analyzing the research status of ultrasound-based DLR in the differential diagnosis of benign and malignant breast tumors, the prediction of molecular typing of breast cancer, the evaluation of axillary lymph node status, and the evaluation of neoadjuvant chemotherapy efficacy in recent years, Ultrasound-based DLR directly extracts high-order features from datasets; although it is still in the development stage, it also demonstrates its superior performance, helping to reduce workload and improve diagnostic efficiency.

Oncological recurrence following pathological complete response after neoadjuvant treatment in patients with esophageal cancer — a retrospective cohort study

BackgroundTo evaluate recurrence in patients with post-neoadjuvant pathological complete response (pCR) and in patients with complete response of primary tumor but persisting lymphatic spread of disease (non-pCR, ypT0ypN +) of esophageal cancer.MethodsSeventy-five patients (63 pCR, 12 non-pCR) were analyzed retrospectively. Pattern and incidence of local and distant recurrence as well as the impact on overall (OS) and disease-free survival (DFS) were evaluated. The efficacy of neoadjuvant chemotherapy according to FLOT protocol was compared to neoadjuvant chemoradiation according to CROSS protocol.ResultsIn the pCR group, isolated local recurrence was diagnosed in 3%, while no isolated local recurrence was observed in the non-pCR group due to the high incidence of distant recurrence. Distant recurrence was most common in both cohorts (isolated distant recurrence: pCR group 10% to non-pCR group 55%; simultaneous distant and local recurrence: pCR group 3% to non-pCR group 18%). Median time to distant recurrence was 5.5 months, and median time to local recurrence was 8.0 months. Cumulative incidence of distant recurrence (with and without simultaneous local recurrence) was 16% (± 6%) in pCR patients and 79% (± 13%) in non-pCR patients (hazard ratio (HR) 0.123) estimated by Kaplan–Meier method. OS (HR 0.231) and DFS (HR 0.226) were significantly improved in patients with pCR compared to patients with non-pCR. Advantages for FLOT protocol compared to CROSS protocol, especially with regard to distant control of disease (HR 0.278), were observed (OS (HR 0.361), DFS (HR 0.226)).ConclusionDistant recurrence is the predominant site of treatment failure in patients with pCR and non-pCR grade 1a regression, whereby recurrence rates are much higher in patients with non-pCR.

Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes.

To improve on current standards for breast cancer prognosis and prediction of chemotherapy benefit by developing a risk model that incorporates the gene expression-based "intrinsic" subtypes luminal A, luminal B, HER2-enriched, and basal-like. A 50-gene subtype predictor was developed using microarray and quantitative reverse transcriptase polymerase chain reaction data from 189 prototype samples. Test sets from 761 patients (no systemic therapy) were evaluated for prognosis, and 133 patients were evaluated for prediction of pathologic complete response (pCR) to a taxane and anthracycline regimen. The intrinsic subtypes as discrete entities showed prognostic significance (P = 2.26E-12) and remained significant in multivariable analyses that incorporated standard parameters (estrogen receptor status, histologic grade, tumor size, and node status). A prognostic model for node-negative breast cancer was built using intrinsic subtype and clinical information. The C-index estimate for the combined model (subtype and tumor size) was a significant improvement on either the clinicopathologic model or subtype model alone. The intrinsic subtype model predicted neoadjuvant chemotherapy efficacy with a negative predictive value for pCR of 97%. Diagnosis by intrinsic subtype adds significant prognostic and predictive information to standard parameters for patients with breast cancer. The prognostic properties of the continuous risk score will be of value for the management of node-negative breast cancers. The subtypes and risk score can also be used to assess the likelihood of efficacy from neoadjuvant chemotherapy.

Clinical efficacy of Neoadjuvant Chemotherapy combined with Laparoscopic Surgery in patients with Middle and Low Rectal Cancer and its Effect on serum VEGF Levels and quality of life.

To observe the clinical efficacy of neoadjuvant chemotherapy combined with laparoscopic surgery in patients with middle and low rectal cancer and its effect on serum VEGF level and quality of life. Retrospective analysis was performed on 80 patients with middle and low rectal cancer admitted to Baoding No.1 Central Hospital from June 2018 to June 2020.They were randomly divided into two groups. Patients in the control group underwent laparoscopic radical rectal cancer surgery, while those in the experimental group underwent neoadjuvant chemotherapy before surgery. The differences of various surgical indicators between the two groups were compared. The incidence of surgical complications, the serum VEGF levels and the improvement of quality of life were compared. The differences in local recurrence, metastasis and overall survival with in two years after surgery were compared. The various surgical indicators of the experimental group were significantly better than the control group (p<0.05). After treatment, the VEGF levels in the experimental group were significantly lower than those in the control group (p=0.00), while the SF-36 score was significantly higher than that of the control group (p=0.00). The total incidence of surgical complications in experimental group was significantly lower (p=0.03), the local recurrence rate was significantly lower (p=0.02), and the overall survival rate was significantly higher than that in control group (p=0.04). Neoadjuvant chemotherapy combined with laparoscopic surgery is superior to direct surgery alone in the treatment of middle and low rectal cancer and it needs to be promoted.

Systematic Review of the Survival Outcomes of Neoadjuvant Chemotherapy in Women with Malignant Ovarian Germ Cell Tumors.

Randomized clinical trials assessing the efficacy of neoadjuvant chemotherapy (NACT) for advanced epithelial ovarian cancer have predominantly included women with high-grade serous carcinomas. The response rate and oncological outcomes of NACT for malignant ovarian germ cell tumors (MOGCT) are poorly understood. This study aimed to examine the effects of NACT on women with MOGCT by conducting a systematic review of four public search engines. Fifteen studies were identified, and a further descriptive analysis was performed for 10 original articles. In those studies, most women were treated with a bleomycin, etoposide, and cisplatin regimen, and one to three cycles were used in most studies. Four studies comparing NACT and primary debulking surgery showed similar complete response rates (n = 2; pooled odds ratio [OR] 0.90, 95% confidence interval [CI] 0.15-5.27), comparable overall survival (n = 3; 87.0-100% versus 70.0-100%), disease-free survival (n = 3; 87.0-100% versus 70.0-100%), recurrence rate (n = 1; OR 3.50, 95%CI 0.38-32.50), and adverse events rate from chemotherapy between the groups. In conclusion, NACT may be considered for the management of MOGCT; however, possible candidates for NACT use and an ideal number of NACT cycles remain unknown. Further studies are warranted to validate the efficacy of NACT in advanced MOGCT patients.

Effects of neoadjuvant chemotherapy for patients with obstructive colon cancer: A multicenter propensity score-matched analysis (YCOG2101).

Obstructive colon cancer is locally advanced colon cancer with poor prognosis. However, the effect of neoadjuvant chemotherapy (NAC) on obstructive colon cancer remains unclear. Therefore, this study aimed to investigate the safety and efficacy of NAC in patients with obstructive colon cancer. From January 2012 to December 2017, we collected patient data for clinical stage II/III obstructive colon cancer at seven Yokohama Clinical Oncology Group (YCOG) institutions. The long-term outcomes of the NAC and non-NAC groups were analyzed retrospectively after adjusting for patients' background characteristics using propensity score matching. Among the 202 eligible patients, propensity score matching extracted 51 patients each for the NAC and non-NAC groups. After matching, the groups showed no marked differences in the background factors. All the patients in the NAC group underwent diverting stoma construction. Nineteen patients (37.3%) experienced grade 3-4 adverse events during NAC. The incidence of postoperative complications was similar between groups. The 5-year progression-free survival rates were 75.8% in the NAC group and 63.0% in the non-NAC group (p = 0.22, log-rank test). The 5-year overall survival rates were 88.5% in the NAC group and 78.8% in the non-NAC group (p = 0.09, log-rank test). Although NAC was feasible for obstructive colon cancer after diverting stoma construction, its effects on long-term outcomes could not be proven.

Ultrasound and clinicopathological characteristics-based model for prediction of pathologic response to neoadjuvant chemotherapy in HER2-positive breast cancer: a case–control study

BackgroundThe objective of this study was to develop a model combining ultrasound (US) and clinicopathological characteristics to predict the pathologic response to neoadjuvant chemotherapy (NACT) in human epidermal growth factor receptor 2 (HER2)-positive breast cancer.Materials and methodsThis is a retrospective study that included 248 patients with HER2-positive breast cancer who underwent NACT from March 2018 to March 2022. US and clinicopathological characteristics were collected from all patients in this study, and characteristics obtained using univariate analysis at p < 0.1 were subjected to multivariate analysis and then the conventional US and clinicopathological characteristics independently associated with pathologic complete response (pCR) from the analysis were used to develop US models, clinicopathological models, and their combined models by the area under the receiver operating characteristic (ROC) curve (AUC), accuracy, sensitivity, and specificity to assess their predictive efficacy.ResultsThe combined model had an AUC of 0.808, a sensitivity of 88.72%, a specificity of 60.87%, and an accuracy of 75.81% in predicting pCR of HER2-positive breast cancer after NACT, which was significantly better than the clinicopathological model (AUC = 0.656) and the US model (AUC = 0.769). In addition, six characteristics were screened as independent predictors, namely the Clinical T stage, Clinical N stage, PR status, posterior acoustic, margin, and calcification.ConclusionThe conventional US combined with clinicopathological characteristics to construct a combined model has a good diagnostic effect in predicting pCR in HER2-positive breast cancer and is expected to be a useful tool to assist clinicians in effectively determining the efficacy of NACT in HER2-positive breast cancer patients.

The Efficacy of Neoadjuvant Gemcitabine and Cisplatin Chemotherapy for cT3N0M0 Upper Tract Urothelial Carcinoma: The Impact of Tumor Location.

Upper tract urothelial carcinoma (UTUC) can be divided into renal pelvis tumor (RPT) and ureteral tumor (UT) based on the tumor origin. This study aimed to evaluate the efficacy of neoadjuvant chemotherapy with gemcitabine and cisplatin (NAC-GC) in terms of the pathological outcomes and oncological prognoses in patients with UTUC. We also compared its efficacy between RPT and UT. Patients who underwent radical nephroureterectomy for clinical T (cT)3N0M0 UTUC between 1999 and 2021 were included. Patients who underwent NAC-GC and those who did not were included in the NAC-GC and non-NAC-GC groups, respectively. Based on the tumor origin, we divided patients with UTUC into RPT and UT groups. Oncological prognosis was assessed using progression-free survival (PFS) and overall survival. Of 44 patients, 20 (45.5%) and 24 (54.5%) patients were in the NAC-GC and non-NAC-GC groups, respectively. The NAC-GC group had significantly lower pathological T stage and negative lymphovascular invasion (LVI), and a better PFS (p < .05) compared to those in the non-NAC-GC group. Among patients with RPT, the NAC-GC group had significantly negative LVI and better PFS than the non-NAC-GC group (p < .05). In contrast, in patients with UT, the NAC-GC group had no significant difference in pathological outcomes, and no significant difference in oncological prognosis was observed between the NAC-GC and non-NAC-GC groups. NAC-GC improves both pathological outcomes and oncological prognosis in patients with cT3N0M0 UTUC. With regard to tumor location, RPT has better pathological outcomes and oncological prognoses than UT.

Impact of retention index on the neoadjuvant chemotherapy effect and the prognosis in oesophageal cancer.

The relationship between retention index calculated from dual-time point 18F-fluorodeoxyglucose positron emission tomography-computed tomography and oesophageal cancer prognosis remains unknown. This study aimed to determine usefulness of retention index as a predictor of long-term prognosis of oesophageal cancer and neoadjuvant chemotherapy efficacy. A total of 151 patients with oesophageal cancer who underwent esophagectomy were evaluated retrospectively in this study. We acquired positron emission tomography scans 60 and 120min (SUVmax1 and SUVmax2, respectively) after the intravenous administration of 3.7 Mbq/kg 18F-fluorodeoxyglucose. The patients were divided into two groups: high-retention index (retention index ≥29%, 107 patients) and low-retention index (retention index <29%, 44 patients). Retention index was calculated as follows: retention index (%)=[(SUVmax2 - SUVmax1)/SUVmax1]×100. The overall survival and relapse-free survival rates in the high-retention index group were significantly lower than those in the low-retention index group (P<0.001). Our multivariate analysis identified that the high-retention index group contained independent risk factors for overall survival (hazard ratio: 2.44, P=0.009) and relapse-free survival (hazard ratio: 2.61, P=0.002). The high-retention index group exhibited a lower partial response rate to neoadjuvant chemotherapy evaluated by computed tomography (P<0.001) and a lower pathological therapeutic effect in the resected specimen (P=0.019) than the low-retention index group. The retention index was associated with neoadjuvant chemotherapy responses and long-term prognosis for oesophageal cancer.

The role of neoadjuvant chemotherapy in patients with primary resectable pancreatic cancer: A retrospective cohort study

Background. Currently available data on the efficacy and indications for neoadjuvant chemotherapy in patients with primary resectable pancreatic cancer are contradictory and not clearly defined.&#x0D; Aim. To conduct a comparative assessment of the effectiveness of neoadjuvant chemotherapy and primary surgical treatment followed by adjuvant chemotherapy in patients with primary resectable pancreatic cancer.&#x0D; Materials and methods. In our study, the efficacy of neoadjuvant chemotherapy was retrospectively evaluated in 45 patients and in 153 patients with primary surgical treatment and subsequent adjuvant chemotherapy.&#x0D; Results. With a median follow-up of 41.7 months. Both, recurrence free survival in the group of patients receiving neoadjuvant chemotherapy followed by surgical treatment (n=33; 73%) and in the group with surgical treatment and subsequent adjuvant chemotherapy (13.9 and 19.5 months; p=0.35) and overall survival (28.4 months vs 33.7 months; p=0.29) were no different. The CA level of 19.9500 IU/ml in the neoadjuvant chemotherapy group was observed in 20 (44.4%) patients. At the same time, surgical treatment was performed only in 11 (55%) patients. At the same time, at the CA 19.9 level 500 IU/ml, at the end of neoadjuvant chemotherapy, surgical treatment was not performed in only 3 (12%) patients (p=0.005).&#x0D; Conclusion. The long-term results of treatment of patients with primary resectable pancreatic cancer, whose first stage was neoadjuvant chemotherapy, practically do not differ from the group whose treatment began with surgery. Treatment of patients with an initially high (500 IU/ml) level of CA 19.9 is preferable to start with neoadjuvant chemotherapy. Patients who may have doubts about the likelihood of adjuvant chemotherapy (general condition, social adaptation, place of residence), it is also preferable to start treatment with neoadjuvant chemotherapy. It is necessary to change the algorithm of examination of patients, especially those with a level of CA 19.9500 IU/ml, to exclude a greater prevalence, for example, performing diagnostic laparoscopy to exclude metastases in the peritoneum.

The MRI radiomics signature can predict the pathologic response to neoadjuvant chemotherapy in locally advanced esophageal squamous cell carcinoma.

To investigate the MRI radiomics signatures in predicting pathologic response among patients with locally advanced esophageal squamous cell carcinoma (ESCC), who received neoadjuvant chemotherapy (NACT). Patients who underwent NACT from March 2015 to October 2019 were prospectively included. Each patient underwent esophageal MR scanning within one week before NACT and within 2-3weeks after completion of NACT, prior to surgery. Radiomics features extracted from T2-TSE-BLADE were randomly split into the training and validation sets at a ratio of 7:3. According to the progressive tumor regression grade (TRG), patients were stratified into two groups: good responders (GR, TRG 0 + 1) and poor responders (non-GR, TRG 2 + 3). We constructed the Pre/Post-NACT model (Pre/Post-model) and the Delta-NACT model (Delta-model). Kruskal-Wallis was used to select features, logistic regression was used to develop the final model. A total of 108 ESCC patients were included, and 3/2/4 out of 107 radiomics features were selected for constructing the Pre/Post/Delta-model, respectively. The selected radiomics features were statistically different between GR and non-GR groups. The highest areaunder the curve (AUC) was for the Delta-model, which reached 0.851 in the training set and 0.831 in the validation set. Among the three models,Pre-model showed the poorest performance in the training and validation sets (AUC, 0.466 and 0.596), and the Post-model showed better performance than the Pre-model in the training and validation sets (AUC, 0.753 and 0.781). MRI-based radiomics models can predict the pathological response after NACT in ESCC patients, with the Delta-model exhibiting optimal predictive efficacy. MRI radiomics features could be used as a useful tool for predicting the efficacy of neoadjuvant chemotherapy in esophageal carcinoma patients, especially in selecting responders among those patients who may be candidates to benefit from neoadjuvant chemotherapy. • The MRI radiomics features based on T2WI-TSE-BLADE could potentially predict the pathologic response to NACT among ESCC patients. • The Delta-model exhibited the best predictive ability for pathologic response, followed by the Post-model, which similarly had better predictive ability, while the Pre-model performed less well in predicting TRG.

ABVS-Based Radiomics for Early Predicting the Efficacy of Neoadjuvant Chemotherapy in Patients with Breast Cancers.

Neoadjuvant chemotherapy (NAC) plays a significant role in breast cancer (BC) management; however, its efficacy varies among patients. Current evaluation methods may lead to delayed treatment alterations, and traditional imaging modalities often yield inaccurate results. Radiomics, an emerging field in medical imaging, offers potential for improved tumor characterization and personalized medicine. Nevertheless, its application in early and accurately predicting NAC response remains underinvestigated. This study aims to develop an automated breast volume scanner (ABVS)-based radiomics model to facilitate early detection of suboptimal NAC response, ultimately promoting personalized therapeutic approaches for BC patients. This retrospective study involved 248 BC patients receiving NAC. Standard guidelines were followed, and patients were classified as responders or non-responders based on treatment outcomes. ABVS images were obtained before and during NAC, and radiomics features were extracted using the PyRadiomics toolkit. Inter-observer consistency and hierarchical feature selection were assessed. Three machine learning classifiers, logistic regression, support vector machine, and random forest, were trained and validated using a five-fold cross-validation with three repetitions. Model performance was comprehensively evaluated based on discrimination, calibration, and clinical utility. Of the 248 BC patients, 157 (63.3%) were responders, and 91 (36.7%) were non-responders. Radiomics feature selection revealed 7 pre-NAC and 6 post-NAC ABVS features, with higher weights for post-NAC features (min >0.05) than pre-NAC (max <0.03). The three post-NAC classifiers demonstrated AUCs of approximately 0.9, indicating excellent discrimination. DCA curves revealed a substantial net benefit when the threshold probability exceeded 40%. Conversely, the three pre-NAC classifiers had AUCs between 0.7 and 0.8, suggesting moderate discrimination and limited clinical utility based on their DCA curves. The ABVS-based radiomics model effectively predicted suboptimal NAC responses in BC patients, with early post-NAC classifiers outperforming pre-NAC classifiers in discrimination and clinical utility. It could enhance personalized treatment and improve patient outcomes in BC management.

Using Normalized Carcinoembryonic Antigen and Carbohydrate Antigen 19 to Predict and Monitor the Efficacy of Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer.

We conducted a retrospective analysis to determine values of CEA and CA19-9 prior to NACT (pre-NACT) and after NACT (post-NACT) in 399 patients with locally advanced gastric cancer (LAGC) who received intended NACT and surgery. Among the 399 patients who underwent NACT plus surgery, 132 patients (33.1%) had elevated pre-NACT CEA/CA19-9 values. Furthermore, either pre-NACT or post-NACT CEA /CA19-9 levels were significantly associated with prognosis (p = 0.0023) compared to patients with non-elevated levels. Moreover, among the patients, a significant proportion (73/132, 55.3%) achieved normalized CEA/CA19-9 following NACT, which is a strong marker of a favorable treatment response and survival benefits. In addition, the patients with normalized CEA/CA19-9 also had a prolonged survival compared to those who underwent surgery first (p = 0.0140), which may be attributed to the clearance of micro-metastatic foci. Additionally, the magnitude of CEA/CA19-9 changes did not exhibit a statistically significant prognostic value. Normalization of CEA/CA19-9 is a strong biomarker for the effectiveness of treatment, and can thus be exploited to prolong the long-term survival of patients with LAGC.

Intact glycopeptides identified by LC-MS/MS as biomarkers for response to chemotherapy of locally advanced cervical cancer.

For locally advanced cervical cancer (LACC), patients who respond to chemotherapy have a potential survival advantage compared to nonresponsive patients. Thus, it is necessary to explore specific biological markers for the efficacy of chemotherapy, which is beneficial to personalized treatment. In the present study, we performed a comprehensive screening of site-specific N-glycopeptides in serum glycoproteins to identify glycopeptide markers for predicting the efficacy of chemotherapy, which is beneficial to personalized treatment. In total, 20 serum samples before and after neoadjuvant chemotherapy (NACT) from 10 LACC patients (NACT response, n=6) and NACT nonresponse, n=4) cases) were analyzed using LC-MS/MS, and 20 sets of mass spectrometry (MS) data were collected using liquid chromatography coupled with high-energy collisional dissociation tandem MS (LC-HCD-MS/MS) for quantitative analysis on the novel software platform, Byos. We also identified differential glycopeptides before and after chemotherapy in chemo-sensitive and chemo-resistant patients. In the present study, a total of 148 glycoproteins, 496 glycosylation sites and 2279 complete glycopeptides were identified in serum samples of LACC patients. Before and after chemotherapy, there were 13 differentially expressed glycoproteins, 654 differentially expressed glycopeptides and 93 differentially expressed glycosites in the NACT responsive group, whereas there were 18 differentially expressed glycoproteins, 569 differentially expressed glycopeptides and 99 differentially expressed glycosites in the NACT nonresponsive group. After quantitative analysis, 6 of 570 glycopeptides were identified as biomarkers for predicting the sensitivity of neoadjuvant chemotherapy in LACC. The corresponding glycopeptides included MASP1, LUM, ATRN, CO8A, CO8B and CO6. The relative abundances of the six glycopeptides, including MASP1, LUM, ATRN, CO8A, CO8B and CO6, were significantly higher in the NACT-responsive group and were significantly decreased after chemotherapy. High levels of these six glycopeptides may indicate that chemotherapy is effective. Thus, these glycopeptides are expected to serve as biomarkers for predicting the efficacy of neoadjuvant chemotherapy in locally advanced cervical cancer. The present study revealed that the N-glycopeptide of MASP1, LUM, ATRN, CO8A, CO8B and CO6 may be potential biomarkers for predicting the efficacy of chemotherapy for cervical cancer.