Publications by authors named "Haojie Si"
Validation and refinement of the ninth edition ypN descriptor in patients with non-small cell lung cancer receiving neoadjuvant therapy.
J Thorac Cardiovasc Surg
July 2025
Objectives: Although the ninth edition N descriptors have been validated in upfront surgery populations, evidence supporting their validity in prognostic stratification in the neoadjuvant setting remains sparse. The study aimed to validate the prognostic relevance of exploratory quaternary N scheme refinement relative to the ninth edition N classification in postneoadjuvant non-small cell lung cancer.
Methods: We identified 1005 patients with non-small cell lung cancer who underwent complete resection after neoadjuvant therapy from 4 centers between May 2019 and September 2022.
Background: The effect of KRAS mutant subtypes on the outcome and recurrence pattern of patients with nonadvanced lung cancer remains controversial. This study aimed to broadly elucidate the oncologic characteristics of G12C mutation in resected non-small cell lung cancer (NSCLC).
Methods: A total of 18,509 stage I-III NSCLC patients who received surgical resection and genetic assay were retrospectively enrolled.
Objective: The potential survival benefits of adjuvant immunotherapy for resectable NSCLC after neoadjuvant chemoimmunotherapy, and the optimal number of adjuvant immunotherapy cycles, remain uncertain. This study aims to evaluate the prognostic impact of adjuvant immunotherapy and determine the optimal number of cycles.
Methods: A total of 438 patients who received neoadjuvant chemoimmunotherapy between August 2019 and June 2022 across four hospitals were enrolled in this study, with a median follow-up time of 31.
Predicting therapeutic response to neoadjuvant immunotherapy based on an integration model in resectable stage IIIA (N2) non-small cell lung cancer.
J Thorac Cardiovasc Surg
January 2025
Article Synopsis
- This study looked at how well doctors can predict how patients with a specific type of lung cancer respond to treatment before surgery.
- They used blood samples from patients to measure something called tumor mutational burden (bTMB) and developed a special computer model to help with predictions.
- The results showed that higher bTMB was linked to better treatment responses and that their new model was more effective in predicting outcomes when using bTMB along with other health information.
Spread Through Air Spaces in Residual Tumor Classification for Clinical IA Lung Adenocarcinoma.
Ann Thorac Surg
October 2024
Background: We aimed to validate the prognostic implication of uncertain resection, R(un), proposed by International Association for the Study of Lung Cancer (IASLC) and evaluate the prognostic value of spread through air spaces (STAS) in reclassifying the R classification among patients with lung adenocarcinoma after segmentectomy.
Methods: We enrolled 1007 patients who underwent segmentectomy for c-stage IA lung adenocarcinoma between 2014 and 2017. Recurrence-free survival (RFS) and overall survival (OS) were compared to evaluate the prognostic value of IASLC-R(un) and STAS.
Background: The eighth edition of nodal classification is defined only by the anatomical location of metastatic lymph nodes and has limited prognostic discrimination power. The authors aimed to evaluate the prognostic significance and discriminatory capability of the number of metastatic lymph nodes (nN) in resected nonsmall cell lung cancer.
Materials And Methods: Patients with stage IA to IIIB resected nonsmall cell lung cancer between 1 January 2009 and 31 December 2013 were analyzed as a Chinese cohort.
Background: Micropapillary (MIP) component was a major concern in determining surgical strategy in lung adenocarcinoma (LUAD). We sought to develop a novel method for detecting MIP component during surgery.
Methods: Differentially expressed proteins between MIP-positive and MIP-negative LUAD were identified through proteomics analysis.
Article Synopsis
- A new grading system for lung cancer has been created by the International Association for the Study of Lung Cancer (IASLC) to help doctors decide on surgeries.
- Researchers looked at how well different doctors agreed on this grading system by reviewing samples from patients with lung adenocarcinoma (a type of lung cancer).
- The study found that doctors generally agreed quite well on the grades, which helps predict patient outcomes like survival, and it suggests that using these grades during surgeries might be a good idea for future research.
Core-shell structured photoresponsive molecularly imprinted polymers were developed for the determination of sulfamethazine in milk samples. The photoresponsive imprinted polymers were prepared with polymethyl methacrylate containing a mass of ester groups as core, sulfamethazine as template molecules, self-synthesized water-soluble 4-[(4-methacryloyloxy)phenylazo] benzenesulfonic acid as a photoresponsive monomer, and ethylene dimethacrylate as cross-linker. Interestingly, the imprinted polymer can specifically adsorb sulfamethazine under dark and 440 nm irradiation, and release it at 365 nm.
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