American Journal of Clinical Oncology-Cancer Clinical Trials最新文献

Ovarian carcinosarcoma (OCS) is a rare malignancy with a poor prognosis. It is a biphasic tumor with malignant epithelial and mesenchymal components. A few mutations commonly seen in cancer have been identified in OCS, including TP53, PIK3CA, c-myc, ZNF217, ARID1A, and CTNNB1. Some OCS tumors have shown vascular endothelial growth factor positivity and limited HER2 expression. There is evidence of homologous recombination deficiency in OCS. This malignancy can be categorized as copy number high but has not been shown to have a high tumor mutational burden. There are mixed findings regarding the presence of biomarkers targeted by immune checkpoint inhibitors in OCS. For treatments other than systemic chemotherapy, the data available are largely based on in vitro and in vivo studies. In addition, there are case reports citing the use of poly-ADP ribose polymerase inhibitors, vascular endothelial growth factor inhibitors, and immunotherapy with varying degrees of success. This review paper will discuss the molecular and genomic characteristics of OCS, which can guide future treatment strategies.

Objective: We represent Sprouty 2 (Spry2) expression analysis and its association with key driver mutations and clinical features of patients with non-small cell lung cancer as the largest ex vivo data.

Methods: The strength of Spry2 expression was evaluated using the immunoreactivity score (IRS), which was calculated using the following formula: IRS=(staining intensity score) SI×(percentage of positively stained cells) PP. The median IRS score was defined as the cutoff value. Patients were grouped as "weak immunoreactivity score" (IRS: 0 to 4) or "strong immunoreactivity score" (IRS: ≥4) with respect to the IRS score.

Results: The intensity and percentage of Spry2 staining were significantly lower in tumor tissues than in normal lung tissues ( P <0.0001). Patients' characteristics were similar for both groups, except for smoking status and, brain and lymph node metastasis. Overall survival of patients with a strong immunoreactivity score was significantly lower than those with a weak immunoreactivity score among metastatic patients (6.9 mo vs. 13.6, P =0.023) and adenocarcinoma histology (7.0 mo vs. not reached, P =0.003).

Conclusion: Spry2 expression was lower in tumor tissues than in normal lung parenchyma. Increased expression of Spry2 is associated with poor prognosis. There were no significant associations between epidermal growth factor receptor, anaplastic lymphoma kinase, or c-ros oncogene 1 rearrangement and Spry2 expression. Despite the absence of KRAS mutational analysis, the clinical and epidemiological features of patients suggested that KRAS mutation might be an underlying determinant factor of the functional role of Spry2 in non-small cell lung cancer.

Objective: Stereotactic body radiation therapy (SBRT) for early-stage non-small cell carcinoma of the lung (NSCLC) is increasingly utilized. We sought to assess overall survival (OS) for early-stage NSCLC patients receiving SBRT depending on staging method.

Methods: Early-stage NSCLC patients treated with definitive SBRT were identified in the National Cancer Database (NCDB), and OS was determined based on method of staging. Patient, disease, and treatment characteristics were also analyzed.

Results: A total of 12,106 patients were included; 865 (7%) received invasive staging (nodal sampling, NS) and 11,241 (93%) had no nodal sampling (NNS). From this larger dataset, a propensity score matching (1:1 without replacement) was performed, which yielded 839 patients for each group (NNS and NS). With a median follow-up time of 3.12 years, median survival for all patients included in the matched dataset was 2.75 years (95% CI: 2.55-2.93 y), with 2- and 5-year OS estimated at 63.9% and 25.7%, respectively. In a multivariable analysis on matched data, there was no difference in mortality risk between the NNS and NS groups (hazard ratio=1.08, 95% CI: 0.94-1.24, P =0.25). Negative prognostic factors identified in the multivariable analysis of the matched data included: age more than 65, male sex, Charlson-Deyo Score ≥1, and tumor size ≥3 cm.

Conclusions: SBRT use in early-stage NSCLC steadily increased over the study period. Most patients proceeded to SBRT without nodal staging, conflicting with National Comprehensive Cancer Network (NCCN) guidelines which recommend pathologic mediastinal lymph node evaluation for all early-stage NSCLC cases, except stage IA. Our findings suggest similar OS in patients with early-stage NSCLC treated with SBRT irrespective of nodal staging. Furthermore, we highlight patient-related, disease-related, and treatment-related prognostic factors to consider when planning therapy for these patients.

Objective: This study aims to evaluate geographic disparities in access to cancer clinical trials across Canada.

Methods: Cancer clinical trial data recorded within the clinicaltrials.gov and reporting the conduct of any of these trials in Canada, 2005 to 2023 were reviewed. Frequency analyses of the number of clinical trials that were registered on clinicaltrials.gov for Canada, individual Canadian provinces, main Canadian urban centers, and different cancer types, according to the funding source (industry versus non-industry), as well as according to different periods (using 3-y intervals) were conducted. Moreover, a comparison of cancer clinical trials per 10,000 persons was done between Canada and the United States.

Results: The number of cancer clinical trials per 10,000 individuals (according to the 2021 census) in each province/territory varied between 6.79 (New Brunswick) to 0 (the 3 territories). The number of cancer clinical trials in relation to 1000 projected cancer cases for some of the common tumor types in Canada was then reviewed. The highest number was for lymphoma clinical trials (32.85), whereas the lowest number was for bladder cancer clinical trials (7.06). Most of the trials have industry funding (69%). Using 3-year intervals, the highest number of cancer clinical trials was observed from 2014 to 2016 (778 trials), and the lowest number was observed from 2020 to 2022 (633 trials).

Conclusions: Access to clinical trials in Canada is not equitably distributed, with geographical and primary tumor site disparities. Moreover, access to cancer clinical trials has been negatively impacted during the time of the COVID-19 pandemic.

Background: The primary site and histology of systemic malignancy are known predictors of progression to brain metastases (BM). We investigated the combinational interactions of International Classification of Diseases for Oncology (ICD-O) primary topography and morphology types on the survival of BM after adjusting for relevant clinical and demographic prognostic factors.

Methods: The cohort included all adult patients with BM at diagnosis of an invasive malignancy in the National Cancer Database (2010 to 2018). The sample consisted of 180,150 entries out of 14,279,749 cancer patients screened. A survival analysis of the topography-specific and histology-specific time to death was performed. Multivariate Cox regression revealed violations of the proportional hazard assumption for multiple covariates. Parametric models using a log-logistic distribution best described the population survival pattern.

Results: The primary topography "prostate" and morphology "choriocarcinoma" provided the strongest survival benefit among ICD-O types, whereas BM from prostate demonstrated a 14-month median overall increase in survival probability. Favorable prognostics were BM from breast, bone/joints, and testis; also, the morphologies of carcinoid tumor, mature B-cell lymphoma, and papillary adenocarcinoma. Poor prognostics were BM from gastrointestinal (liver, biliary tree, pancreas, and gallbladder) and gynecologic malignancies. All morphologies of spindle cell carcinoma, hemangiosarcoma, undifferentiated carcinoma, Ewing sarcoma, pseudosarcomatous carcinoma, renal cell carcinoma/sarcomatoid, signet ring cell carcinoma, spindle cell sarcoma, and squamous cell carcinoma/spindle cell were associated with poor survival.

Conclusions: This is the largest cohort providing an unbiased estimate of the adjusted ICD-O topography and morphology effect sizes. The results can be summarized as a booklet for prognostic classification of disease in patients with BM secondary to systemic malignancy.

Objective: Non-small cell lung cancer (NSCLC) is a devastating but universal class of lung carcinoma with an unfavorable prognosis. This paper mainly investigated the correlation between lung immune prognostic index (LIPI) score and combined treatment of immune checkpoint inhibitor and chemotherapy (CHT) in patients with advanced NSCLC.

Methods: Totally, 301 advanced NSCLC patients with programmed death-ligand 1 (PD-L1) expression ≥1% were assigned into good LIPI group (N=113), intermediate LIPI group (N=101), and poor LIPI group (N=87) based on LIPI scoring system, followed by treatment of CHT plus programmed cell death-1 (PD-1)/PD-L1 inhibitor. The differences in clinical parameters between subgroups of NSCLC patients were analyzed by χ 2 test, 1-way analysis of variance, and Kruskal-Wallis H test. All patients were followed up until June 30, 2022, and objective response rate, disease control rate, progression-free survival (PFS), and overall survival (OS) were recorded. The independent associations of LIPI score with PFS and OS were assessed via the Cox regression model.

Results: There were evident differences in clinical stage and lymphocyte among the 3 subgroups of NSCLC patients. The efficacy of PD-1/PD-L1 inhibitor combined with CHT was better in patients with good LIPI score, manifested by higher objective response rate and disease control rate. Moreover, LIPI score was an independent factor influencing PFS and OS in patients with advanced NSCLC, with longer PFS and OS in patients with good LIPI score.

Conclusion: LIPI score has a predictive value for combination therapy of PD-1/PD-L1 blockade and CHT in advanced NSCLC patients.

Objectives: Distinguishing between radiation necrosis (RN) and metastatic progression is extremely challenging due to their similarity in conventional imaging. This is crucial from a therapeutic point of view as this determines the outcome of the treatment. This study aims to establish an automated technique to differentiate RN from brain metastasis progression using radiomics with machine learning.

Methods: Eighty-six patients with brain metastasis after they underwent stereotactic radiosurgery as primary treatment were selected. Discrete wavelets transform, Laplacian-of-Gaussian, Gradient, and Square were applied to magnetic resonance post-contrast T1-weighted images to extract radiomics features. After feature selection, dataset was randomly split into train/test (80%/20%) datasets. Random forest classification, logistic regression, and support vector classification were trained and subsequently validated using test set. The classification performance was measured by area under the curve (AUC) value of receiver operating characteristic curve, accuracy, sensitivity, and specificity.

Results: The best performance was achieved using random forest classification with a Gradient filter (AUC=0.910±0.047, accuracy 0.8±0.071, sensitivity=0.796±0.055, specificity=0.922±0.059). For, support vector classification the best result obtains using wavelet_HHH with a high AUC of 0.890±0.89, accuracy of 0.777±0.062, sensitivity=0.701±0.084, and specificity=0.85±0.112. Logistic regression using wavelet_HHH provides a poor result with AUC=0.882±0.051, accuracy of 0.753±0.08, sensitivity=0.717±0.208, and specificity=0.816±0.123.

Conclusion: This type of machine-learning approach can help accurately distinguish RN from recurrence in magnetic resonance imaging, without the need for biopsy. This has the potential to improve the therapeutic outcome.

Objectives: To systematically evaluate the effectiveness and safety of neoadjuvant immunotherapy for patients with non-small cell lung cancer (NSCLC).

Methods: Randomized controlled trials of neoadjuvant immunotherapy in treating patients with NSCLC were comprehensively retrieved from electronic databases, eligible studies, previous systematic reviews and meta-analyses, guidelines, and conference abstracts. The meta-analysis was performed by the Stata/SE 12.0 software.

Results: Eleven randomized controlled trials were eventually included. The results of the meta-analysis showed that neoadjuvant immunochemotherapy significantly improved the objective response rate compared with neoadjuvant chemotherapy (CT; 62.46% vs 41.88%, P = 0.003), but the objective response rate of neoadjuvant double-immunotherapy was roughly comparable to that of neoadjuvant single-immunotherapy (15.74% vs 10.45%, P = 0.387). Major pathologic response (MPR) rate and pathologic complete response (pCR) rate of neoadjuvant immunochemotherapy and neoadjuvant double-immunotherapy were significantly superior to neoadjuvant CT alone and neoadjuvant single-immunotherapy, respectively. Compared with neoadjuvant CT alone, neoadjuvant immunochemotherapy increased the down-staging rate (40.16% vs 26.70%, P = 0.060), the surgical resection rate (83.69% vs 73.07%, P = 0.231), and R0 resection rate (86.19% vs 77.98%, P = 0.502), but there were no statistically significant differences. Neoadjuvant immunochemotherapy did not increase the postoperative complications rate than neoadjuvant CT alone (40.20% vs 41.30%, P = 0.920). In terms of safety, neoadjuvant immunochemotherapy and neoadjuvant double-immunotherapy did not increase the incidence of treatment-related adverse events (TRAEs) and the grade 3 or higher TRAEs.

Conclusions: In summary, neoadjuvant immunochemotherapy had better clinical efficacy than neoadjuvant CT for patients with NSCLC. MPR rate and pCR rate of neoadjuvant immunochemotherapy and neoadjuvant double-immunotherapy were significantly superior to neoadjuvant CT and neoadjuvant single-immunotherapy, respectively, for patients with NSCLC, showing that MPR rate and pCR rate were probably considered as alternative endpoints for survival benefit. TRAEs were comparable between the corresponding groups. The long-term survival outcome of neoadjuvant immunotherapy for patients with NSCLC needs to be further confirmed to better guide clinical practice.

Background: Accuracy of tumor bed (TB) delineation is essential for targeting boost doses or partial breast irradiation. Multiple studies have shown high interobserver variability with standardly used surgical clip markers (CMs). We hypothesize that a radiopaque filament marker (FM) woven along the TB will improve TB delineation consistency.

Methods: An FDA-approved FM was intraoperatively used to outline the TB of patients undergoing lumpectomy. Between January 2020 and January 2022, consecutive patients with FM placed after either (1) lumpectomy or (2) lumpectomy with oncoplastic reconstruction were identified and compared with those with CM. Six "experts" (radiation oncologists specializing in breast cancer) across 2 institutions independently defined all TBs. Three metrics (volume variance, dice coefficient, and center of mass [COM] deviation). Two-tailed paired samples t tests were performed to compare FM and CM cohorts.

Results: Twenty-eight total patients were evaluated (14 FM and 14 CM). In aggregate, differences in volume between expert contours were 29.7% (SD ± 58.8%) with FM and 55.4% (SD ± 105.9%) with CM ( P < 0.001). The average dice coefficient in patients with FM was 0.54 (SD ± 0.15), and with CM was 0.44 (SD ± 0.22) ( P < 0.001). The average COM deviation was 0.63 cm (SD ± 0.53 cm) for FM and 1.05 cm (SD ± 0.93 cm) for CM; ( P < 0.001). In the subset of patients who underwent lumpectomy with oncoplastic reconstruction, the difference in average volume was 21.8% (SD ± 20.4%) with FM and 52.2% (SD ± 64.5%) with CM ( P <0.001). The average dice coefficient was 0.53 (SD ± 0.12) for FM versus 0.39 (SD ± 0.24) for CM ( P < 0.001). The average COM difference was 0.53 cm (SD ± 0.29 cm) with FM versus 1.25 cm (SD ± 1.08 cm) with CM ( P < 0.001).

Conclusion: FM consistently outperformed CM in the setting of both standard lumpectomy and complex oncoplastic reconstruction. These data suggest the superiority of FM in TB delineation.