Lung cancer has the highest risk of brain metastasis (BM) among all solid carcinomas. The emergence of BM has a significant impact on the selection of oncologic treatment for patients. Immune checkpoint inhibitors (ICIs) are the most promising treatment option for patients without druggable mutations and have been shown to improve survival in patients with non-small cell lung cancer (NSCLC) BM in clinical trials with good safety. Moreover, ICI has shown certain effects in NSCLC BM, and the overall intracranial efficacy is comparable to extracranial efficacy. However, a proportion of patients showed discordant responses in primary and metastatic lesions, suggesting that multiple mechanisms may exist underlying ICI activity in BM. According to studies pertaining to tumor immune microenvironments, ICIs may be capable of provoking immunity in situ . Meanwhile, systematic immune cells activated by ICIs can migrate into the central nervous system and exert antitumor effects. This review summarizes the present evidence for ICI treatment efficacy in NSCLC BM and proposes the possible mechanisms of ICI treatment for NSCLC BMs based on existing evidence.
Humans ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Lung Neoplasms/drug therapy* ; Immune Checkpoint Inhibitors/therapeutic use* ; Brain Neoplasms/drug therapy* ; Carcinoma ; Tumor Microenvironment

BACKGROUND: Immune checkpoint inhibitors (ICIs) are increasingly used as first-line therapy for patients with advanced non-small cell lung cancer (NSCLC) harboring no actionable mutations; however, data on their efficacy among patients presenting with intracranial lesions are limited. This study aimed to explore the efficacy and safety of ICIs combined with chemotherapy in advanced NSCLC patients with measurable brain metastasis at initial diagnosis. METHODS: Our study retrospectively analyzed clinical data of a total of 211 patients diagnosed with driver gene mutation-negative advanced NSCLC with measurable, asymptomatic brain metastasis at baseline from Hunan Cancer Hospital between January 1, 2019 and September 30, 2021. The patients were stratified into two groups according to the first-line treatment regimen received: ICI combined with chemotherapy ( n = 102) or chemotherapy ( n = 109). Systemic and intracranial objective response rates (ORRs) and progression-free survival (PFS) were analyzed. Adverse events were also compared between the groups. RESULTS: Compared with the chemotherapy-based regimen, the ICI-containing regimen was associated with a significantly higher intracranial (44.1% [45/102] vs . 28.4% [31/109], χ2 = 5.620, P = 0.013) and systemic (49.0% [50/102] vs . 33.9% [37/109], χ2 = 4.942, P = 0.019) ORRs and longer intracranial (11.0 months vs . 7.0 months, P <0.001) and systemic (9.0 months vs . 5.0 months, P <0.001) PFS. Multivariable analysis consistently revealed an independent association between receiving ICI plus platinum-based chemotherapy as a first-line regimen and prolonged intracranial PFS (hazard ratio [HR] = 0.52, 95% confidence interval [CI]: 0.37-0.73, P <0.001) and systemic PFS (HR = 0.48, 95% CI: 0.35-0.66, P <0.001). No unexpected serious adverse effects were observed. CONCLUSION: Our study provides real-world clinical evidence that ICI combined with chemotherapy is a promising first-line treatment option for driver gene mutation-negative advanced NSCLC patients who present with brain metastasis at initial diagnosis. CLINICAL TRIAL REGISTRATION https://www.clinicaltrials.gov/ , OMESIA, NCT05129202.
Humans ; Carcinoma, Non-Small-Cell Lung/genetics* ; Lung Neoplasms/genetics* ; Immune Checkpoint Inhibitors/therapeutic use* ; Retrospective Studies ; Brain Neoplasms/genetics*

BACKGROUND: Breast cancer is one of the most common cancer in women and a proportion of patients experiences brain metastases with poor prognosis. The study aimed to construct a novel predictive clinical model to evaluate the overall survival (OS) of patients with postoperative brain metastasis of breast cancer (BCBM) and validate its effectiveness. METHODS: From 2010 to 2020, a total of 310 female patients with BCBM were diagnosed in The Affiliated Cancer Hospital of Xinjiang Medical University, and they were randomly assigned to the training cohort and the validation cohort. Data of another 173 BCBM patients were collected from the Surveillance, Epidemiology, and End Results Program (SEER) database as an external validation cohort. In the training cohort, the least absolute shrinkage and selection operator (LASSO) Cox regression model was used to determine the fundamental clinical predictive indicators and the nomogram was constructed to predict OS. The model capability was assessed using receiver operating characteristic, C-index, and calibration curves. Kaplan-Meier survival analysis was performed to evaluate clinical effectiveness of the risk stratification system in the model. The accuracy and prediction capability of the model were verified using the validation and SEER cohorts. RESULTS: LASSO Cox regression analysis revealed that lymph node metastasis, molecular subtype, tumor size, chemotherapy, radiotherapy, and lung metastasis were statistically significantly correlated with BCBM. The C-indexes of the survival nomogram in the training, validation, and SEER cohorts were 0.714, 0.710, and 0.670, respectively, which showed good prediction capability. The calibration curves demonstrated that the nomogram had great forecast precision, and a dynamic diagram was drawn to increase the maneuverability of the results. The Risk Stratification System showed that the OS of low-risk patients was considerably better than that of high-risk patients ( P < 0.001). CONCLUSION The nomogram prediction model constructed in this study has a good predictive value, which can effectively evaluate the survival rate of patients with postoperative BCBM.
Female ; Humans ; Breast Neoplasms/surgery* ; Retrospective Studies ; Prognosis ; Brain Neoplasms/surgery* ; Nomograms

Patients with glioblastoma (GBM) generally have a bad prognosis and short overall survival after being treated with surgery, chemotherapy or radiotherapy due to the histological heterogeneity, strong invasive ability and rapid postoperative recurrence of GBM. The components of GBM cell-derived exosome (GBM-exo) can regulate the proliferation and migration of GBM cell via cytokines, miRNAs, DNA molecules and proteins, promote the angiogenesis via angiogenic proteins and non-coding RNAs, mediate tumor immune evasion by targeting immune checkpoints with regulatory factors, proteins and drugs, and reduce drug resistance of GBM cells through non-coding RNAs. GBM-exo is expected to be an important target for the personalized treatment of GBM and a marker for diagnosis and prognosis of this kind of disease. This review summarizes the preparation methods, biological characteristics, functions and molecular mechanisms of GBM-exo on cell proliferation, angiogenesis, immune evasion and drug resistance of GBM to facilitate developing new strategies for the diagnosis and treatment of GBM.
Humans ; Glioblastoma/genetics* ; Exosomes/metabolism* ; MicroRNAs/metabolism* ; Prognosis ; Cell Proliferation ; Brain Neoplasms/genetics* ; Cell Line, Tumor

Recently, deep learning has achieved impressive results in medical image tasks. However, this method usually requires large-scale annotated data, and medical images are expensive to annotate, so it is a challenge to learn efficiently from the limited annotated data. Currently, the two commonly used methods are transfer learning and self-supervised learning. However, these two methods have been little studied in multimodal medical images, so this study proposes a contrastive learning method for multimodal medical images. The method takes images of different modalities of the same patient as positive samples, which effectively increases the number of positive samples in the training process and helps the model to fully learn the similarities and differences of lesions on images of different modalities, thus improving the model's understanding of medical images and diagnostic accuracy. The commonly used data augmentation methods are not suitable for multimodal images, so this paper proposes a domain adaptive denormalization method to transform the source domain images with the help of statistical information of the target domain. In this study, the method is validated with two different multimodal medical image classification tasks: in the microvascular infiltration recognition task, the method achieves an accuracy of (74.79 ± 0.74)% and an F1 score of (78.37 ± 1.94)%, which are improved as compared with other conventional learning methods; for the brain tumor pathology grading task, the method also achieves significant improvements. The results show that the method achieves good results on multimodal medical images and can provide a reference solution for pre-training multimodal medical images.
Humans ; Algorithms ; Brain/diagnostic imaging* ; Brain Neoplasms/diagnostic imaging* ; Recognition, Psychology

Lung cancer is one of the most lethal malignancies in the world, with non-small cell lung cancer (NSCLC) accounting for approximately 80%-85% of all pathological types. Approximately 30%-55% of NSCLC patients develop brain metastases. It has been reported that 5%-6% of patients with brain metastases harbor anaplastic lymphoma kinase (ALK) fusion. ALK-positive NSCLC patients have shown significant therapeutic benefits after treatment with ALK inhibitors. Over the past decade, ALK inhibitors have rapidly evolved and now exist in three generations: first-generation drugs such as Crizotinib; second-generation drugs including Alectinib, Brigatinib, Ceritinib, and Ensartinib; and third-generation drugs like Lorlatinib. These drugs have exhibited varying efficacy in treating brain metastases in ALK-positive NSCLC patients. However, the numerous options available for ALK inhibition present a challenge for clinical decision-making. Therefore, this review aims to provide clinical guidance by summarizing the efficacy and safety of ALK inhibitors in treating NSCLC brain metastases.
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Humans ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Lung Neoplasms/drug therapy* ; Brain Neoplasms/drug therapy* ; Protein Kinase Inhibitors/adverse effects* ; Crizotinib

Neurosurgery is a highly specialized field: it often involves surgical manipulation of noble structures and cerebral retraction is frequently necessary to reach deep-seated brain lesions. There are still no reliable methods preventing possible retraction complications. The objective of this study was to design work chambers well suited for transcranial endoscopic surgery while providing safe retraction of the surrounding brain tissue. The chamber is designed to be inserted close to the intracranial point of interest; once it is best placed it can be opened. This should guarantee an appreciable workspace similar to that of current neurosurgical procedures. The experimental aspect of this study involved the use of a force sensor to evaluate the pressures exerted on the brain tissue during the retraction phase. Following pterional craniotomy, pressure measurements were made during retraction with the use of a conventional metal spatula with different inclinations. Note that, although the force values necessary for retraction and exerted on the spatula by the neurosurgeon are the same, the local pressure exerted on the parenchyma at the edge of the spatula at different inclinations varied greatly. A new method of cerebral retraction using a chamber retractor (CR) has been designed to avoid any type of complication due to spatula edge overpressures and to maintain acceptable pressure values exerted on the parenchyma.
Humans ; Brain/surgery* ; Neurosurgical Procedures/methods* ; Neurosurgery ; Brain Neoplasms ; Endoscopy

OBJECTIVE: To analyze recurrence and progression patterns of primary central nervous system lymphoma (PCNSL) in patients without whole brain radiotherapy (WBRT) and assess the value of WBRT in PCNSL treatment. METHODS: This retrospective single-center study included 27 patients with PCNSL, who experienced recurrence/progression after achieving complete remission (CR), partial remission, or stable disease following initial treatments with chemotherapy but without WBRT. The patients were followed up regularly after the treatment for treatment efficacy assessment. By comparing the anatomical location of the lesions on magnetic resonance images (MRI) at the initial diagnosis and at recurrence/progression, we analyzed the patterns of relapse/progression in patients with different treatment responses and different initial status of the lesions. RESULTS: MRI data showed that in 16 (59.26%) of the 27 patients, recurrence/progression occurred in out-field area (outside the simulated clinical target volume [CTV]) but within the simulated WBRT target area in 16 (59.26%) patients, and within the CTV (in-field) in 11 (40.74%) patients. None of the patients had extracranial recurrence of the tumor. Of the 11 patients who achieved CR after the initial treatments, 9 (81.82%) had PCNSL recurrences in the out-field area but within WBRT target area; of the 13 patients with a single lesion at the initial treatment, 11 (84.62%) experienced PCNSL recurrence in the out-field area but within WBRT target area. CONCLUSIONS Systemic therapy combined with WBRT still remains the standard treatment for PCNSL patients, especially those who achieve CR after treatment or have a single initial lesion. Future prospective studies with larger sample sizes are needed to further explore the role of low-dose WBRT in PCNSL treatment.
Humans ; Lymphoma/radiotherapy* ; Central Nervous System Neoplasms/pathology* ; Retrospective Studies ; Prospective Studies ; Neoplasm Recurrence, Local/drug therapy* ; Combined Modality Therapy ; Brain/pathology* ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Methotrexate

Humans ; Glioblastoma ; Cell Line, Tumor ; Neoplasm Invasiveness ; Cell Movement ; Brain Neoplasms

Humans ; Brain Neoplasms/metabolism* ; Cell Line, Tumor ; Cell Proliferation ; Gene Expression Regulation, Neoplastic ; Glioma/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism* ; Signal Transduction ; ATPases Associated with Diverse Cellular Activities/metabolism* ; Mitochondrial Proteins/metabolism* ; GTP-Binding Protein alpha Subunits/metabolism*