scholarly journals Decreased sphingomyelin (t34:1) is a candidate predictor for lung squamous cell carcinoma recurrence after radical surgery: a case-control study

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yusuke Takanashi ◽  
Kazuhito Funai ◽  
Fumihiro Eto ◽  
Kiyomichi Mizuno ◽  
Akikazu Kawase ◽  
...  

Abstract Background To reduce disease recurrence after radical surgery for lung squamous cell carcinomas (SQCCs), accurate prediction of recurrent high-risk patients is required for efficient patient selection for adjuvant chemotherapy. Because treatment modalities for recurrent lung SQCCs are scarce compared to lung adenocarcinomas (ADCs), accurately selecting lung SQCC patients for adjuvant chemotherapy after radical surgery is highly important. Predicting lung cancer recurrence with high objectivity is difficult with conventional histopathological prognostic factors; therefore, identification of a novel predictor is expected to be highly beneficial. Lipid metabolism alterations in cancers are known to contribute to cancer progression. Previously, we found that increased sphingomyelin (SM)(d35:1) in lung ADCs is a candidate for an objective recurrence predictor. However, no lipid predictors for lung SQCC recurrence have been identified to date. This study aims to identify candidate lipid predictors for lung SQCC recurrence after radical surgery. Methods Recurrent (n = 5) and non-recurrent (n = 6) cases of lung SQCC patients who underwent radical surgery were assigned to recurrent and non-recurrent groups, respectively. Extracted lipids from frozen tissue samples of primary lung SQCC were analyzed by liquid chromatography-tandem mass spectrometry. Candidate lipid predictors were screened by comparing the relative expression levels between the recurrent and non-recurrent groups. To compare lipidomic characteristics associated with recurrent SQCCs and ADCs, a meta-analysis combining SQCC (n = 11) and ADC (n = 20) cohorts was conducted. Results Among 1745 screened lipid species, five species were decreased (≤ 0.5 fold change; P < 0.05) and one was increased (≥ 2 fold change; P < 0.05) in the recurrent group. Among the six candidates, the top three final candidates (selected by AUC assessment) were all decreased SM(t34:1) species, showing strong performance in recurrence prediction that is equivalent to that of histopathological prognostic factors. Meta-analysis indicated that decreases in a limited number of SM species were observed in the SQCC cohort as a lipidomic characteristic associated with recurrence, in contrast, significant increases in a broad range of lipids (including SM species) were observed in the ADC cohort. Conclusion We identified decreased SM(t34:1) as a novel candidate predictor for lung SQCC recurrence. Lung SQCCs and ADCs have opposite lipidomic characteristics concerning for recurrence risk. Trial registration This retrospective study was registered at the UMIN Clinical Trial Registry (UMIN000039202) on January 21, 2020.

2011 ◽  
Vol 29 (4_suppl) ◽  
pp. 364-364 ◽  
Author(s):  
J. J. Biagi ◽  
M. Raphael ◽  
W. D. King ◽  
W. Kong ◽  
W. J. Mackillop ◽  
...  

364 Background: The optimal timing from CRC surgery to initiation of AC is unknown. We report a systematic review and meta-analysis to determine the relationship between time to adjuvant chemotherapy (TTAC) and survival. Methods: A systematic review of literature was done to identify studies that described the relationship between TTAC and survival. Studies were only included if the distribution of relevant prognostic factors was adequately described, and either comparative groups were balanced or results adjusted for the prognostic factors. Hazard ratio (HR) and TTAC for overall survival (OS) and disease free survival (DFS) from each study were converted to a regression coefficient (β) and standard error (SE) corresponding to a continuous representation per 4 weeks of TTAC. The adjusted β from individual studies were combined using a fixed-effect model. Inverse-variance (1/SE2) was used to weight individual studies. The possible effect of publication bias was investigated using the trim and fill approach. Results: We identified 9 eligible studies involving 14,357 patients (4 published articles, 5 abstracts). Two studies were randomized trials and 7 were cohort studies. Six studies reported TTAC as a binary variable and 3 reported TTAC as ≥3 categories. An estimate of HR for OS was derived from all 9 studies and estimate for DFS was derived from 5 studies. Meta-analysis demonstrated that a 4-week increase in TTAC was associated with a significant decrease in both OS (HR = 1.12, 95% CI 1.09-1.15), and DFS (HR = 1.15, 95% CI 1.11-1.20). The analysis showed no significant heterogeneity among studies. These TTAC associations remained significant after analysis for potential publication bias, and when the analysis was repeated excluding the two studies of largest weight. Conclusions: This study demonstrates a 12% increase in the risk of death for each 4 week of delay in the start of AC for CRC. These findings indicate the need for clinicians and health systems managers to take the steps necessary to keep TTAC as short as reasonably achievable. In addition, our results suggest there may be some benefit to AC after a 3-month TTAC delay. No significant financial relationships to disclose.


Lung Cancer ◽  
2015 ◽  
Vol 87 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Tao Jiang ◽  
Guanghui Gao ◽  
Guoxin Fan ◽  
Mu Li ◽  
Caicun Zhou

2020 ◽  
Author(s):  
Yusuke Takanashi ◽  
Kazuhito Funai ◽  
Shumpei Sato ◽  
Akikazu Kawase ◽  
Hong Tao ◽  
...  

Abstract Background: To improve the postoperative prognosis of patients with lung cancer, predicting the recurrence high-risk patients is needed for the efficient application of adjuvant chemotherapy. However, predicting lung cancer recurrence after a radical surgery is difficult even with conventional histopathological prognostic factors, thereby a novel predictor should be identified. As lipid metabolism alterations are known to contribute to cancer progression, we hypothesized that lung adenocarcinomas with high recurrence risk contain candidate lipid predictors. This study aimed to identify candidate lipid predictors for the recurrence of lung adenocarcinoma after a radical surgery.Methods: Frozen tissue samples of primary lung adenocarcinoma obtained from patients who underwent a radical surgery were retrospectively reviewed. Recurrent and non-recurrent cases were assigned to recurrent (n = 10) and non-recurrent (n = 10) groups, respectively. Extracted lipids from frozen tissue samples were subjected to liquid chromatography-tandem mass spectrometry analysis. The average total lipid levels of the non-recurrent and recurrent groups were compared. Candidate predictors were screened by comparing the folding change and P-value of t-test in each lipid species between the recurrent and non-recurrent groups.Results: The average total lipid level of the recurrent group was 1.65 times higher than that of the non-recurrent group (P < 0.05). A total of 203 lipid species were increased (folding change, ≥2; P < 0.05) and 4 lipid species were decreased (folding change, ≤0.5; P < 0.05) in the recurrent group. Among these candidates, increased sphingomyelin (SM)(d35:1) in the recurrent group was the most prominent candidate predictor, showing high performance of recurrence prediction (AUC, 9.1; sensitivity, 1.0; specificity, 0.8; accuracy, 0.9).Conclusion: We propose SM(d35:1) as a novel candidate predictor for lung adenocarcinoma recurrence. Our finding can contribute to precise recurrence prediction and qualified postoperative therapeutic strategy for lung adenocarcinomas.Abbreviations: AUC, area under the ROC curve; ROC, receiver operating characteristic. This retrospective study was registered at the UMIN Clinical Trial Registry (UMIN000039202) on 21st January 2020.


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