Residiv og overlevelse etter kirurgisk behandling for lungekreft

Hjelde, Harald; Sundstrøm, Stein; Ødegård, Asbjørn; Hatlinghus, Staal; Abusland, Anne Britt; Haaverstad, Rune

doi:10.4045/tidsskr.09.0689

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…Non-small cell lung cancer (NSCLC) has a poor prognosis, with a five-year survival rate of 40–50% in patients with pathological stage I or II disease who undergo a primary resection (2–4). Gender, age, type of surgery, tumor diameter and post-operative N-stage are significant contributing factors to the recurrence risk, with pathological stage and histological type significantly affecting recurrence-free survival (5,6)…”

Section: Introductionmentioning

confidence: 99%

High serum macrophage inflammatory protein-3α is associated with the early recurrence or metastasis of non-small cell lung cancer following primary pulmonary resection

et al. 2014

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The present study sought to characterize the role of macrophage inflammatory protein-3α (MIP-3α) in non-small cell lung cancer (NSCLC) patients with early recurrence or metastasis after primary pulmonary resection. Follow-up examinations were conducted for 203 NSCLC patients with primary pulmonary resection for two years post-operatively, and data was also collected for 20 healthy subjects. Serum MIP-3α levels were determined prior to surgery and at post-operative days (PODs) 30, 90 and 180, and the relevant clinical and operative variables were collected. Serum MIP-3α was measured using a commercially available enzyme-linked immunosorbent assay. There were no significant differences in age, gender and histological type among all groups (P>0.05). Serum MIP-3α levels on POD 180 were significantly higher in the recurrence group than in the non-recurrence group and healthy subjects (P=0.001). There was no significant difference in the serum MIP-3α level at PODs 90 and 180 in the patients with or without adjuvant chemotherapy (P>0.05). The recurrence rate in the high serum MIP-3α level group was 41.67%, much higher than the 23.53% observed in the low level group (P=0.006). The patients with high serum levels of MIP-3α had a significantly shorter overall recurrence-free time compared with those with low levels (P=0.004). Multivariate Cox’s regression analyses showed that only serum MIP-3α level was significant, with a hazard ratio of 1.061, a 95% confidence interval of 1.044–1.078 and a P-value of 0.001. The serum MIP-3α level in the patients with liver and bone metastases were remarkably higher than those with recurrence at other sites. The high post-operative serum MIP-3α levels were associated with an increased risk of post-operative early recurrence or metastasis in the lung cancer patients, specifically in those with bone or liver metastases.

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Section: Introductionmentioning

confidence: 99%

High serum macrophage inflammatory protein-3α is associated with the early recurrence or metastasis of non-small cell lung cancer following primary pulmonary resection

et al. 2014

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CT-derived body composition associated with lung cancer recurrence after surgery

et al. 2023

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Predicting Postoperative Lung Cancer Recurrence and Survival Using Cox Proportional Hazards Regression and Machine Learning

Pu,

Dhupar,

Meng

2024

Cancers

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Background: Surgical resection remains the standard treatment for early-stage lung cancer. However, the recurrence rate after surgery is unacceptably high, ranging from 30% to 50%. Despite extensive efforts, accurately predicting the likelihood and timing of recurrence remains a significant challenge. This study aims to predict postoperative recurrence by identifying novel image biomarkers from preoperative chest CT scans. Methods: A cohort of 309 patients was selected from 512 non-small-cell lung cancer patients who underwent lung resection. Cox proportional hazards regression analysis was employed to identify risk factors associated with recurrence and was compared with machine learning (ML) methods for predictive performance. The goal is to improve the ability to predict the risk and time of recurrence in seemingly “cured” patients, enabling personalized surveillance strategies to minimize lung cancer recurrence. Results: The Cox hazards analyses identified surgical procedure, TNM staging, lymph node involvement, body composition, and tumor characteristics as significant determinants of recurrence risk, both for local/regional and distant recurrence, as well as recurrence-free survival (RFS) and overall survival (OS) (p < 0.05). ML models and Cox models exhibited comparable predictive performance, with an area under the receiver operative characteristic (ROC) curve (AUC) ranging from 0.75 to 0.77. Conclusions: These promising findings demonstrate the feasibility of predicting postoperative lung cancer recurrence and survival time using preoperative chest CT scans. However, further validation using larger, multisite cohort is necessary to ensure robustness and facilitate integration into clinical practice for improved cancer management.

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Residiv og overlevelse etter kirurgisk behandling for lungekreft

Cited by 3 publications

References 16 publications

High serum macrophage inflammatory protein-3α is associated with the early recurrence or metastasis of non-small cell lung cancer following primary pulmonary resection

High serum macrophage inflammatory protein-3α is associated with the early recurrence or metastasis of non-small cell lung cancer following primary pulmonary resection

CT-derived body composition associated with lung cancer recurrence after surgery

Predicting Postoperative Lung Cancer Recurrence and Survival Using Cox Proportional Hazards Regression and Machine Learning

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