Sphingomyelin(d35:1) as a novel predictor for lung adenocarcinoma recurrence after a radical surgery: a case-control study
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 convention...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2020-08-01
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| Series: | BMC Cancer |
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| Online Access: | http://link.springer.com/article/10.1186/s12885-020-07306-1 |
| _version_ | 1818335130804027392 |
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| author | Yusuke Takanashi Kazuhito Funai Shumpei Sato Akikazu Kawase Hong Tao Yutaka Takahashi Haruhiko Sugimura Mitsutoshi Setou Tomoaki Kahyo Norihiko Shiiya |
| author_facet | Yusuke Takanashi Kazuhito Funai Shumpei Sato Akikazu Kawase Hong Tao Yutaka Takahashi Haruhiko Sugimura Mitsutoshi Setou Tomoaki Kahyo Norihiko Shiiya |
| author_sort | Yusuke Takanashi |
| collection | DOAJ |
| description | 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. Trial registration This retrospective study was registered at the UMIN Clinical Trial Registry ( UMIN000039202 ) on 21st January 2020. |
| first_indexed | 2024-12-13T14:18:32Z |
| format | Article |
| id | doaj.art-d0b5a05836ba48c6880d3e1b35b5699e |
| institution | Directory Open Access Journal |
| issn | 1471-2407 |
| language | English |
| last_indexed | 2024-12-13T14:18:32Z |
| publishDate | 2020-08-01 |
| publisher | BMC |
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| series | BMC Cancer |
| spelling | doaj.art-d0b5a05836ba48c6880d3e1b35b5699e2022-12-21T23:42:09ZengBMCBMC Cancer1471-24072020-08-0120111110.1186/s12885-020-07306-1Sphingomyelin(d35:1) as a novel predictor for lung adenocarcinoma recurrence after a radical surgery: a case-control studyYusuke Takanashi0Kazuhito Funai1Shumpei Sato2Akikazu Kawase3Hong Tao4Yutaka Takahashi5Haruhiko Sugimura6Mitsutoshi Setou7Tomoaki Kahyo8Norihiko Shiiya9Department of Cellular and Molecular Anatomy, Hamamatsu University School of MedicineFirst Department of Surgery, Hamamatsu University School of MedicineDepartment of Cellular and Molecular Anatomy, Hamamatsu University School of MedicineFirst Department of Surgery, Hamamatsu University School of MedicineDepartment of Tumor Pathology, Hamamatsu University School of MedicineDepartment of Cellular and Molecular Anatomy, Hamamatsu University School of MedicineDepartment of Tumor Pathology, Hamamatsu University School of MedicineDepartment of Cellular and Molecular Anatomy, Hamamatsu University School of MedicineDepartment of Cellular and Molecular Anatomy, Hamamatsu University School of MedicineFirst Department of Surgery, Hamamatsu University School of MedicineAbstract 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. Trial registration This retrospective study was registered at the UMIN Clinical Trial Registry ( UMIN000039202 ) on 21st January 2020.http://link.springer.com/article/10.1186/s12885-020-07306-1Lung adenocarcinomaPrognostic factorRecurrence predictionLipidMass spectrometry |
| spellingShingle | Yusuke Takanashi Kazuhito Funai Shumpei Sato Akikazu Kawase Hong Tao Yutaka Takahashi Haruhiko Sugimura Mitsutoshi Setou Tomoaki Kahyo Norihiko Shiiya Sphingomyelin(d35:1) as a novel predictor for lung adenocarcinoma recurrence after a radical surgery: a case-control study BMC Cancer Lung adenocarcinoma Prognostic factor Recurrence prediction Lipid Mass spectrometry |
| title | Sphingomyelin(d35:1) as a novel predictor for lung adenocarcinoma recurrence after a radical surgery: a case-control study |
| title_full | Sphingomyelin(d35:1) as a novel predictor for lung adenocarcinoma recurrence after a radical surgery: a case-control study |
| title_fullStr | Sphingomyelin(d35:1) as a novel predictor for lung adenocarcinoma recurrence after a radical surgery: a case-control study |
| title_full_unstemmed | Sphingomyelin(d35:1) as a novel predictor for lung adenocarcinoma recurrence after a radical surgery: a case-control study |
| title_short | Sphingomyelin(d35:1) as a novel predictor for lung adenocarcinoma recurrence after a radical surgery: a case-control study |
| title_sort | sphingomyelin d35 1 as a novel predictor for lung adenocarcinoma recurrence after a radical surgery a case control study |
| topic | Lung adenocarcinoma Prognostic factor Recurrence prediction Lipid Mass spectrometry |
| url | http://link.springer.com/article/10.1186/s12885-020-07306-1 |
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