Assessing Surgical Benefits and Creating a Prognostic Model for Breast Cancer with Lung-only Metastasis: An Analysis of the National Cancer Database.

AIM: The decision to perform surgery on breast cancer patients with lung-only metastasis is a subject of ongoing debate. Our investigation seeks to assess the survival rates following surgical intervention among individuals diagnosed with breast cancer experiencing isolated metastasis to the lungs. Additionally, we endeavor to devise a predictive nomogram aimed at forecasting the long-term survival. METHODS: We analyzed patients diagnosed with primary lung metastases from breast cancer between 2010 and 2015, utilizing datasets obtained from the National Cancer Database (NCDB). We employed the Cox proportional hazards regression model and the Kaplan-Meier method to analyze survival data. Additionally, we constructed nomograms to forecast survival outcomes. RESULTS: The study comprised 2403 patients, with 1058 (44.0%) undergoing breast-specific surgery and 1345 (56.0%) not receiving surgical treatment. The group that underwent surgical procedures exhibited a significantly enhanced overall survival (OS) compared to the non-surgery group (multivariate analysis: hazard ratio [HR] = 0.64; 95% confidence interval [CI], 0.54-0.75; p < 0.001). Surgical intervention consistently improved survival across nearly all patient subgroups. The research successfully established a predictive nomogram designed to calculate the likelihood of long-term survival, attaining a concordance index (C-index) of approximately 0.7 in both validation and training cohorts. By integrating multiple clinicopathological variables, the nomogram efficiently classified patients into categories reflecting different survival forecasts. CONCLUSIONS: The findings of this investigation support the notion that surgical treatment can enhance the overall survival of patients with initial lung-only metastasis from breast cancer. The investigation further introduces a nomogram demonstrating reasonable accuracy in forecasting long-term survival of patients in this cohort.

Prediction by a multiparametric magnetic resonance imaging-based radiomics signature model of disease-free survival in patients with rectal cancer treated by surgery.

Objective: The aim of this study was to assess the ability of a multiparametric magnetic resonance imaging (MRI)-based radiomics signature model to predict disease-free survival (DFS) in patients with rectal cancer treated by surgery. Materials and methods: We evaluated data of 194 patients with rectal cancer who had undergone radical surgery between April 2016 and September 2021. The mean age of all patients was 62.6 ± 9.7 years (range: 37-86 years). The study endpoint was DFS and 1132 radiomic features were extracted from preoperative MRIs, including contrast-enhanced T1- and T2-weighted imaging and apparent diffusion coefficient values. The study patients were randomly allocated to training (n=97) and validation cohorts (n=97) in a ratio of 5:5. A multivariable Cox regression model was used to generate a radiomics signature (rad score). The associations of rad score with DFS were evaluated using Kaplan-Meier analysis. Three models, namely a radiomics nomogram, radiomics signature, and clinical model, were compared using the Akaike information criterion. Result: The rad score, which was composed of four MRI features, stratified rectal cancer patients into low- and high-risk groups and was associated with DFS in both the training (p = 0.0026) and validation sets (p = 0.036). Moreover, a radiomics nomogram model that combined rad score and independent clinical risk factors performed better (Harrell concordance index [C-index] =0.77) than a purely radiomics signature (C-index=0.73) or clinical model (C-index=0.70). Conclusion: An MRI radiomics model that incorporates a radiomics signature and clinicopathological factors more accurately predicts DFS than does a clinical model in patients with rectal cancer.

Construction of brain metastasis prediction model in limited stage small cell lung cancer patients without prophylactic cranial irradiation.

INTRODUCTION: Small cell lung cancer (SCLC) is a highly aggressive lung cancer variant known for its elevated risk of brain metastases (BM). While earlier meta-analyses supported the use of prophylactic cranial irradiation (PCI) to reduce BM incidence and enhance overall survival, modern MRI capabilities raise questions about PCI's universal benefit for limited-stage SCLC (LS-SCLC) patients. As a response, we have created a predictive model for BM, aiming to identify low-risk individuals who may not require PCI. METHODS: A total of 194 LS-SCLC patients without PCI treated between 2009 and 2021 were included. We conducted both univariate and multivariate analyses to pinpoint the factors associated with the development of BM. A nomogram for predicting the 2- and 3-year probabilities of BM was then constructed. RESULTS: Univariate and multivariate analyses revealed several significant independent risk factors for the development of BM. These factors include TNM stage, the number of chemotherapy (ChT) cycles, Ki-67 expression level, pretreatment serum lactate dehydrogenase (LDH) levels, and haemoglobin (HGB) levels. These findings underscore their respective roles as independent predictors of BM. Based on the results of the final multivariable analysis, a nomogram model was created. In the training cohort, the nomogram yielded an area under the receiver operating characteristic curve (AUC) of 0.870 at 2 years and 0.828 at 3 years. In the validation cohort, the AUC values were 0.897 at 2 years and 0.789 at 3 years. The calibration curve demonstrated good agreement between the predicted and observed probabilities of BM. CONCLUSIONS: A novel nomogram has been developed to forecast the likelihood of BM in patients diagnosed with LS-SCLC. This tool holds the potential to assist healthcare professionals in formulating more informed and tailored treatment plans.

Primary Olfactory Neuroblastoma of the Nasopharynx: A Case Report.

Olfactory neuroblastoma (ONB) is an ectodermal malignant tumor originating from the olfactory nerve epithelium of the nasal cavity and paranasal sinus. Olfactory neuroblastoma is a rare cancer, with an estimated incidence of 0.4 per million. Olfactory neuroblastoma often occurs in the top of the nasal cavity or near the lateral wall of the middle turbinate, which accounts for approximately 3% to 5% of the nasal cavity and paranasal sinus tumors. Olfactory neuroblastoma primarily in the nasopharynx is rare and tends to be misdiagnosed as nasopharyngeal carcinoma. Herein, we presented a case of ONB of the nasopharynx with recurrent nasopharyngeal tumor and by lymph node metastasis in both sides of the neck 14 months after surgical removal of the primary ONB. Long-term disease-free survival was achieved by definitive radiotherapy. Surgery combined with radiotherapy or definitive radiotherapy is recommended for primary ONB of the nasopharynx, radiotherapy target delineation including nasopharynx and pharyngeal lymph nodes, and neck lymph node drainage area of level Ib, Ⅱ, and Ⅲ.

Combination of Tumor Mutational Burden and DNA Damage Repair Gene Mutations with Stromal/Immune Scores Improved Prognosis Stratification in Patients with Lung Adenocarcinoma.

Background: Both the tumor environment and the genomic landscape of lung cancer may shape patient responses to treatments, including immunotherapy, but their joint impacts on lung adenocarcinoma (LUAD) prognosis are underexplored. Methods: RNA sequencing data and whole-exome sequencing results were downloaded from the TCGA database, and only LUAD-related data were included in this study. Based on gene expression data, the ESTIMATE algorithm was used to estimate stromal and immune scores, and CIBERSORT analysis was used for quantification of the relative abundances of immune cells. Somatic mutations were used for calculating tumor mutation burden (TMB). Specific mutations in genes involved in DNA damage repair (DDR) pathways were identified. The individual and joint associations of stromal and immune score, TMB, and DDR gene mutations with 5-year survival were analyzed by the Kaplan-Meier method and multivariate Cox model. Results: LUAD patients with a high (>highest 25%) stromal or immune score had prolonged survival as compared to those with a low (highest 25%) and low (

Whole-Brain Radiotherapy Combined With Anlotinib for Multiple Brain Metastases From Non-small Cell Lung Cancer Without Targetable Driver Mutation: A Single-Arm, Phase II Study.

BACKGROUND: Existing evidence demonstrates that radiotherapy and antiangiogenic drugs have synergistic antitumour effects and may be a promising treatment option for patients with solid tumour. Thus, we performed a phase II trial to evaluate the efficacy and safety of whole-brain radiotherapy (WBRT) combined with anlotinib for multiple brain metastases (BMs) from non-small cell lung cancer (NSCLC) without targetable driver mutations. METHODS: Patients with multiple BMs (⩾3) from NSCLC without targetable driver mutations who failed to respond to at least first-line chemotherapy were enrolled. Eligible patients received WBRT (30 Gy/10 f, 5 f/week) and anlotinib (12 mg/day, day 1-14 of 21 days per cycle, 2 cycles) until disease progression or treatment intolerance. The primary endpoint was intracranial objective response rate (iORR) and secondary endpoints included intracranial progression-free survival (iPFS), disease control rate (DCR), overall survival (OS), and safety. RESULTS: Between April 2019 and March 2021, 21 patients were enrolled in the trial, of which 12 were aged ⩾60 years (57.1%), 13 were men (61.9%), 7 had an Eastern Cooperative Oncology Group Performance Status score of 0 to 1 (81.0%), 18 had adenocarcinoma (85.7%), and 11 had ⩾6 BMs (52.4%). Of the 21 evaluable patients, the iORR was 66.7% (1 complete response + 13 partial response [PR]), and 28.6% (7PR) had extracerebral lesions. The DCRs for intracerebral and extracerebral lesions were 90.5% and 81.0%, respectively. The iPFS and OS were 10.3 months (95% confidence interval [CI]: 0-24.8 months) and 13.4 months (95% CI: 0-27.9 months), respectively. The most frequently observed toxicities were loss of appetite (61.9%), hypertension (52.4%), fatigue (47.6%), diarrhoea (28.6%), vomiting (19.0%), dizziness (42.9%), and headache (33.3%). None of the patients developed grade 4 or higher grade adverse reactions. CONCLUSIONS: Anlotinib combined with WBRT is effective and well tolerated in patients with multiple BMs (⩾3) from NSCLC without targetable driver mutations. Therefore, further validation studies are required.Clinical trial registration number: ChiCTR 1900027769.

Different administration strategies with paclitaxel induce distinct phenotypes of multidrug resistance in breast cancer cells.

Both dose-dense and dose-escalation chemotherapy are administered in clinic. By approximately imitating the schedules of dose-dense and dose-escalation administration with paclitaxel, two novel multidrug resistant (MDR) cell lines Bads-200 and Bats-72 were successfully developed from drug-sensitive breast cancer cell line BCap37, respectively. Different from Bads-200, Bats-72 exhibited stable MDR and significantly enhanced migratory and invasive properties, indicating that they represented two different MDR phenotypes. Our results showed that distinct phenotypes of MDR could be induced by altered administration strategies with a same drug. Administrating paclitaxel in conventional dose-escalation schedule might induce recrudescent tumor cells with stable MDR and increased metastatic capacity.