Predicting lung cancer survival prognosis based on the conditional survival bayesian network.

Lung cancer is a leading cause of cancer deaths and imposes an enormous economic burden on patients. It is important to develop an accurate risk assessment model to determine the appropriate treatment for patients after an initial lung cancer diagnosis. The Cox proportional hazards model is mainly employed in survival analysis. However, real-world medical data are usually incomplete, posing a great challenge to the application of this model. Commonly used imputation methods cannot achieve sufficient accuracy when data are missing, so we investigated novel methods for the development of clinical prediction models. In this article, we present a novel model for survival prediction in missing scenarios. We collected data from 5,240 patients diagnosed with lung cancer at the Weihai Municipal Hospital, China. Then, we applied a joint model that combined a BN and a Cox model to predict mortality risk in individual patients with lung cancer. The established prognostic model achieved good predictive performance in discrimination and calibration. We showed that combining the BN with the Cox proportional hazards model is highly beneficial and provides a more efficient tool for risk prediction.

Opportunistic Screening With Low-Dose Computed Tomography and Lung Cancer Mortality in China.

Importance: Despite the recommendations of lung cancer screening guidelines and the evidence supporting the effectiveness of population-based lung screening, a common barrier to effective lung cancer screening is that the participation rates of low-dose computed tomography (LDCT) screening among individuals with the highest risk are not large. There are limited data from clinical practice regarding whether opportunistic LDCT screening is associated with reduced lung-cancer mortality. Objective: To evaluate whether opportunistic LDCT screening is associated with improved prognosis among adults with lung cancer in mainland China. Design, Setting, and Participants: This cohort study included patients diagnosed with lung cancer at Weihai Municipal Hospital Healthcare Group, Weihai City, China, from 2016 to 2021. Data were analyzed from January 2022 to February 2023. Exposures: Data collected included demographic indicators, tumor characteristics, comorbidities, blood indexes, and treatment information. Patients were classified into screened and nonscreened groups on the basis of whether or not their lung cancer diagnosis occurred through opportunistic screening. Main Outcomes and Measures: Follow-up outcome indicators included lung cancer-specific mortality and all-cause mortality. Propensity score matching (PSM) was adopted to account for potential imbalanced factors between groups. The associations between LDCT screening and outcomes were analyzed using Cox regression models based on the matched data. Propensity score regression adjustment and inverse probability treatment weighting were used for sensitivity analysis. Results: A total of 5234 patients (mean [SD] baseline age, 61.8 [9.8] years; 2518 [48.1%] female) with complete opportunistic screening information were included in the analytical sample, with 2251 patients (42.91%) receiving their lung cancer diagnosis through opportunistic screening. After 1:1 PSM, 2788 patients (1394 in each group) were finally included. The baseline characteristics of the matched patients were balanced between groups. Opportunistic screening with LDCT was associated with a 49% lower risk of lung cancer death (HR, 0.51; 95% CI, 0.42-0.62) and 46% lower risk of all-cause death (HR, 0.54; 95% CI, 0.45-0.64). Conclusions and Relevance: In this cohort study of patients with lung cancer, opportunistic lung cancer screening with LDCT was associated with lower lung cancer mortality and all-cause mortality. These findings suggest that opportunistic screening is an important supplement to population screening to improve prognosis of adults with lung cancer.

Efficacy and Safety of the PD-1 Inhibitor Combined with Albumin-Bound Paclitaxel and Nedaplatin in Preoperative Neoadjuvant Therapy of Unresectable Stage III Lung Squamous Cell Carcinoma.

Aim: To investigate the efficacy and safety of preoperative neoadjuvant therapy (PD-1 inhibitor plus nab-PTX and nedaplatin) for resectable stage III lung squamous cell carcinoma (SCC) patients. Methods: Patients with locally advanced lung SCC (stage IIIA, IIIB) who received PD-1 inhibitor combined with nab-PTX and NED between February 2019 and June 2021 in Weihai Municipal Hospital were included and underwent surgical treatment 4 weeks after 2-4 cycles neoadjuvant therapy. The rate of resection R0, the effective rate, the complete pathological remission rate (pCR) and the rate of major pathological remission (MPR) were observed. Results: A total of 14 initially unresectable male patients with lung SCC were included and received neoadjuvant treatment after evaluation. Nine out of 14 patients (64.3%) experienced treatment-related adverse events (TRAE), among which 8 (57.1%) experienced grade (G) I-II TRAEs including nausea, vomiting, fatigue, constipation, elevated ALT and AST, hyperthyroidism, hypothyroidism, rash, granulocytopenia, and thrombocytopenia, and 1 (7.1%) experienced grade III-V TRAEs (G), including granulocytopenia and atelectasis. Thirteen patients (92.86%) achieved RECIST-assessed partial remission (PR), while 1 patient (7.14%) achieved stable disease (SD) on imaging assessment after neoadjuvant treatment and continued to be progression-free for 26 months. Of the 11 patients who underwent resection, all were alive and recurrence/progression-free. MPR and pCR were observed in 2 (18.18%) and 9 (81.82%), respectively. IHC results exhibited that all NSCLC patients exhibited positive PD-L1 expression (9/14, TPS ≥50% or greater; 5/14, 1% < TPS < 50%). Two were negative for ALK, EGFR, and ros-1, and the rest were not examined for driver oncogene mutation. Conclusion: The neoadjuvant therapy of the PD-1 inhibitor combined with nab-PTX and NED demonstrated remarkable therapeutic efficacy and good safety on stage III lung SCC without increasing the risk of TRAE, mortality and surgery-related complications, or impede surgery feasibility.