Real-world Study

This prospective, multicenter, real-world observational study aims to evaluate the clinical outcomes of first-line atezolizumab monotherapy in patients with stage IV non-small cell lung cancer (NSCLC) with PD-L1 tumor cell expression ≥50% and no targetable mutations. The study aim to determine how atezolizumab performs in routine clinical practice with respect to survival, treatment response, and safety outcomes in this patient population in Türkiye.

This single-center study utilizes real-world data (2012-2024) from 4700 renal cell carcinoma (RCC) patients at Peking University Third Hospital to: (1) Develop and validate a prognostic prediction model specifically for RCC patients, including those with venous tumor thrombus (VTT); (2) Compare the performance of this new model against existing RCC prediction models in both the overall RCC cohort and the VTT subgroup; (3) Employ an emulated target trial (ETT) methodology to evaluate whether risk-stratified treatment based on the prediction model (grouping patients as high/medium/low risk) improves survival outcomes .

Basal cell carcinoma (BCC) is the most common skin cancer in the Netherlands, with incidence rates continuing to rise. The current diagnostic standard combines clinical evaluation and dermoscopy, while biopsy followed by histopathological examination remains the gold standard when uncertainty about the diagnosis persists. However, biopsy is invasive, time-consuming, and costly. Line-field confocal optical coherence tomography (LC-OCT) is a non-invasive imaging technique that has emerged as a promising alternative to biopsy for BCC suspected lesions. This retrospective study aims to evaluate the real-world clinical performance of LC-OCT in routine dermatological practice, where it has been integrated into the diagnostic work-up for BCC-suspect lesions.

This observational study aims to evaluate the real-world effectiveness and safety of iruplinalkib in patients with advanced ALK-positive lung adenocarcinoma who have progressed on or are intolerant to prior lorlatinib therapy. The results are expected to provide real-world evidence to inform clinical decision-making for this heavily pretreated patient population.

Acute Respiratory Distress Syndrome (ARDS) is a form of acute diffuse lung injury caused by various etiologies, which rapidly progresses to acute respiratory failure. It is characterized by a sudden onset and severe clinical course. Globally, ARDS affects approximately 3 million individuals each year, accounting for about 10% of admissions to intensive care units (ICUs). Due to the lack of specific pharmacological therapies, mechanical ventilation remains the mainstay of treatment. Therefore, identifying and analyzing prognostic factors for ARDS patients is of great significance for improving patient outcomes and reducing the incidence of poor prognosis.

In recent years, immunotherapy represented by PD-1/PD-L1 inhibitors has continuously brought breakthroughs in the treatment of hepatocellular carcinoma and has gradually become the cornerstone of advanced liver cancer treatment. With positive results from the IMbrave-150 study, the combination of atezolizumab and bevacizumab has been approved for first-line treatment of advanced HCC. Subsequently, multiple immune combination therapy regimens were approved one after another, enriching the first-line treatment options for advanced HCC. At present, combination therapy based on immune checkpoint inhibitors has become the mainstream first-line treatment for advanced HCC, and three main treatment modes have been formed: immune combined with bevacizumab, immune combined with TKI, and immune combined with immunity. Multiple immune combination therapy regimens have shown a flourishing trend in clinical trials, which has brought some thought-provoking issues to the clinical practice of first-line treatment for advanced HCC. On the one hand, the above studies all used sorafenib/lenvatinib monotherapy as a control, lacking a "head to head" comparison. In real-world scenarios, how to choose between different treatment options depends on the judgment of clinical doctors and drug accessibility, lacking support from research data. On the other hand, the ORR of immune combination therapy is between 20% and 40%, and there are still a large number of patients who have initial treatment resistance to the above regimen and cannot achieve satisfactory therapeutic effects. How to accurately predict/identify the response of different populations to different treatment regimens, and then carry out personalized treatment, is also an important issue facing the first-line treatment of advanced HCC. In addition to systemic anti-tumor therapy, local treatment (such as TACE, HAIC, ablation, radiotherapy, etc.) and surgical treatment are also advantageous weapons for treating advanced HCC, complementing systemic treatment to further improve the prognosis of advanced HCC. However, more clinical research evidence is still needed to support the clinical efficacy data of local treatment combined with systemic treatment in the field of advanced HCC treatment. Based on the above clinical issues, this study intends to retrospectively and prospectively collect advanced HCC patients who receive first-line immunotherapy in our center, explore the effectiveness and safety of combination therapy based on immune checkpoint inhibitors for first-line treatment of advanced hepatocellular carcinoma in the real world, and reveal the advantageous treatment populations of different immunotherapy regimens (immune+bevacizumab, immune+TKI, immune+immune) in the real world, in order to provide some data reference for the first-line treatment population and regimen selection of advanced HCC.

The study builds and applies an AI model to help doctors predict patient diagnoses and outcomes, such as survival or hospital stay. Real-time, multimodal data (labs, vital signs, history, imaging) from hospital records will be used. Patients will be tracked to compare the AI's performance with standard care. The goal is to improve diagnosis and treatment accuracy in a real-world, prospective study.

This study was a multicenter, prospective, non-interventional clinical study that included first-line and late-line patients with advanced non-small cell lung cancer with ALK fusions treated with the third generation ALK-TKI lorlatinib until disease progression, intolerable toxicity, investigator or subject decision to withdraw, lost to follow-up, initiation of other antineoplastic therapy, or death. Clinical pathology including sex, age, ALK mutation status at diagnosis, and clinical stage at diagnosis were collected from medical records. Physical condition as assessed by ECOG-PS before administration of lorlatinib was also recorded. Treatment information was obtained from the records, including dose and timing of ALK-TKI therapy and tumor response, number of prior systemic lines of therapy, and local treatment modalities such as radiotherapy and surgery. Quality of life based on the EORTC QLQ C30+LC29 scale (plus the EORTC QLQ BN20 scale in patients with brain/meningeal metastases) was performed at baseline and at each follow-up point. This study will use REDCap platform to collect and manage the study data information of multi-center patients.

This is a prospective, multicenter, real-world study aimed at evaluating the efficacy and safety of inetetamab+chemotherapy or inetetamab+pyrotinib+chemotherapy or inetetamab+pertuzumab+chemotherapy in the treatment of HER2 positive inoperable locally advanced or recurrent metastatic breast cancer. The research results will provide new targeted treatment strategies for HER2 positive breast cancer patients.