Rare SMARCA4-deficient thoracic tumor: Insights into molecular characterization and optimal therapeutics methods.

INTRODUCTIONS: The 2021 WHO Classification of Thoracic Tumors recognized SMARCA4-deficient undifferentiated thoracic tumors (SMARCA4-dUT) as a distinct entity that shows a striking overlap in demographic and molecular profiles with SMARCA4-deficient non-small lung cancer (SMARCA4-dNSCLC). The implications of SMARCA4 deficiency based on immunohistochemistry remain unclear. We aimed to investigate molecular characteristics of SMARCA4-deficient thoracic tumors (SDTT) and explore optimal therapeutics. METHODS: From June.15, 2018, to Nov.15, 2023, a large cohort including patients diagnosed with SMARCA4-deficient (N = 196) and SMARCA4-intact (N = 438) thoracic tumors confirmed by immunohistochemistry at SYSUCC were screened. Clinicopathologic and molecular characteristics were identified and compared. External SRRSH cohort (N = 34) was combined into a pooled cohort to compare clinical outcome of first-line therapy efficacy. RESULTS: SDTT is male predominance with smoking history, high tumor burden, and adrenal metastases. The relationship between SMARCA4 mutation and protein expression is not completely parallel. The majority of SMARCA4-deficient patients harbor truncating (Class-I) SMARCA4 mutations, whereas class-II alterations and wild-type also exist. Compared with SMARCA4-intact thoracic tumors, patients with SDTT displayed a higher tumor mutation burden (TMB) and associated with a shorter median OS (16.8 months vs. Not reached; P < 0.001). Notably, SMARCA4 protein deficiency, rather than genetic mutations, played a decisive role in these differences. SDTT is generally resistant to chemotherapy, while sensitive to chemoimmunotherapy (median PFS: 7.5 vs. 3.5 months, P < 0.001). In particular, patients with SMARCA4 deficient thoracic tumors treated with paclitaxel-based chemoimmunotherapy achieved a longer median PFS than those with pemetrexed-based chemoimmunotherapy (10.0 vs. 7.3 months, P = 0.028). CONCLUSIONS: SMARCA4 protein deficiency, rather than genetic mutations, played a decisive role in its characteristics of higher TMB and poor prognosis. Chemoimmunotherapy serves as the optimal option in the current treatment regimen. Paclitaxel-based chemoimmunotherapy performed better than those with pemetrexed-based chemoimmunotherapy.

Clinical features and prognostic factors of nasopharyngeal carcinoma with brain metastases.

BACKGROUND: Brain metastasis in nasopharyngeal carcinoma is a rare occurrence, and the characteristics of patients in this subgroup remain poorly defined. This study aims to delineate the clinical features, treatment modalities, prognostic factors, and survival of nasopharyngeal carcinoma patients with brain metastasis. METHODOLOGY: A retrospective analysis was conducted on patients diagnosed with nasopharyngeal carcinoma who developed brain metastasis and were treated at the Sun Yat-sen University Cancer Center between July 2000 and July 2023. Clinical data from patients were collected and used to assess their survival after brain metastases and prognostic factors. RESULTS: Among 82,434 nasopharyngeal carcinoma patients, 40 (0.06 %) developed Brain metastasis with a median follow-up of 5.1 years. The predominant histological subtype was non-keratinizing squamous cell carcinoma (85 %). The median post-BM survival was 25 months. The age, the Eastern Cooperative Oncology Group (ECOG), and the procedural treatment of BM were prognostic factors. Notably, patients receiving local treatments had significantly prolonged post-BM survival compared to those receiving systemic therapy alone (median, 47.00 vs. 11.00 months; p = 0.011). CONCLUSIONS: This is the largest cohort of brain metastasis in nasopharyngeal carcinoma to date. Local therapeutic measures after brain metastasis can significantly enhance the prognosis of these patients, particularly when radiotherapy is applied.

Case report: Leptomeningeal metastasis of advanced nasopharyngeal carcinoma treated with chemoimmunotherapy.

Leptomeningeal metastasis (LM) of nasopharyngeal carcinoma (NPC) is rare and associated with a poor prognosis. Immune checkpoint inhibitors (ICIs) have been the standard first-line treatment for metastatic NPC, but their effect on meningeal metastasis of NPC needs further investigation. A 38-year-old man complained of bilateral neck masses and sought medical care. He was diagnosed with nasopharyngeal undifferentiated non-keratinizing carcinoma with bilateral cervical lymph node metastasis and multiple bone metastasis, stage cT4N2M1 IVb. Then, the patient received first-line anti-PD-1 antibody tislelizumab combined with gemcitabine and cisplatin and achieved partial response. After seven cycles of first-line chemoimmunotherapy, the patient subsequently developed neurological symptoms, including unsteady walking, slurred speech, coughing on drinking, and unconsciousness. MRI showed leptomeningeal linear enhancement, and cerebrospinal fluid (CSF) analysis indicated Epstein-Barr virus (EBV) infection and squamous cell carcinoma cytology, suggesting the diagnosis of leptomeningeal metastasis. After the definite diagnosis of LM, the patient's condition deteriorated rapidly, leading to his death from brain herniation. We reported the first case of advanced NPC with pathologically confirmed leptomeningeal metastasis after receiving first-line chemoimmunotherapy. Considering the poor prognosis of LM, it is suggested to perform MRI and CSF examination when patients have neurological symptoms. Although immunotherapy significantly improved survival outcomes of advanced NPC patients, it seemed not effective in the setting of LM. The effect of other treatment options, such as radiation therapy and intrathecal therapy, requires further verification.

The maximum tumor growth rate predicts clinical outcomes of patients with small-cell lung cancer undergoing first-line chemotherapy plus immune-checkpoint inhibitor therapy.

BACKGROUND: Currently, no biomarkers can accurately predict survival outcomes in patients with SCLC undergoing treatment. Tumor growth rate (TGR; percent size change per month [%/m]) is suggested as an imaging predictor of response to anti-cancer treatment. We aimed to evaluate the predictive role of the maximum TGR (TGRmax) for outcomes of small-cell lung cancer (SCLC) patients undergoing first-line chemotherapy plus immune-checkpoint inhibitor (ICI) treatment. METHODS: Patients with SCLC receiving first-line chemotherapy plus immunotherapy were analyzed within this retrospective study. The X-tile program was used to identify the cut-off value of TGRmax based on maximum progression-free survival (PFS) stratification. The Kaplan-Meier methods and Cox regression models were used to evaluate the effect of the presence of TGRmax on PFS and overall survival (OS). RESULTS: In total, 104 patients were evaluated. Median (range) TGRmax was -33.9 (-65.2 to 21.6) %/m and the optimal cut-off value of TGRmax was -34.3%/m. Multivariate Cox regression analysis revealed that patients with TGRmax > -34.3%/m was associated with shorter PFS (hazard ratio [HR], 2.81; 95% CI, 1.71-4.63; p < 0.001) and OS (HR, 3.17; 95% CI, 1.41-7.08; p = 0.005). In patients who received partial response (PR), Kaplan-Meier survival analyses showed that superior PFS and OS (p = 0.005 and p = 0.009, respectively) benefit was observed when TGRmax ≤-34.3%/m. CONCLUSIONS: SCLC patients with TGRmax > -34.3%/m had worse PFS and OS in first-line ICI plus platin-based chemotherapy. TGRmax could independently serve as an early biomarker to predict the benefit from chemoimmunotherapy.

Early detection of visual impairment in young children using a smartphone-based deep learning system.

Early detection of visual impairment is crucial but is frequently missed in young children, who are capable of only limited cooperation with standard vision tests. Although certain features of visually impaired children, such as facial appearance and ocular movements, can assist ophthalmic practice, applying these features to real-world screening remains challenging. Here, we present a mobile health (mHealth) system, the smartphone-based Apollo Infant Sight (AIS), which identifies visually impaired children with any of 16 ophthalmic disorders by recording and analyzing their gazing behaviors and facial features under visual stimuli. Videos from 3,652 children (≤48 months in age; 54.5% boys) were prospectively collected to develop and validate this system. For detecting visual impairment, AIS achieved an area under the receiver operating curve (AUC) of 0.940 in an internal validation set and an AUC of 0.843 in an external validation set collected in multiple ophthalmology clinics across China. In a further test of AIS for at-home implementation by untrained parents or caregivers using their smartphones, the system was able to adapt to different testing conditions and achieved an AUC of 0.859. This mHealth system has the potential to be used by healthcare professionals, parents and caregivers for identifying young children with visual impairment across a wide range of ophthalmic disorders.