Summary of Study ST002521
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001623. The data can be accessed directly via it's Project DOI: 10.21228/M8X42D This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST002521 |
| Study Title | Wide-Coverage Serum Metabolomic Profiling Reveals a Comprehensive Lipidome Signature of Ovarian Cancer. |
| Study Summary | Distinguishing ovarian cancer (OC) from other benign or cancerous gynecological malignancies remains a critical unmet medical need with significant implications on patient survival. Substantially better results are observed when women with OC are correctly diagnosed and ensured the right treatment. However, non-specific symptoms along with our lack of understanding of OC pathogenesis hinder its diagnosis, consequently leading to a very low survival rate. Accumulating evidence suggests the link between OC and deregulated lipid metabolism. Most studies, however, are limited by small sample sizes and metabolite coverage, thereby constraining the robustness of the results. Here, we performed a comprehensive serum lipidome profiling of OC and various other gynecological malignancies (non-OC). A relatively large patient cohort with 208 OC and 137 non-OC patients, including 93 OC patients with early-stage OC, was recruited from two independent clinical sites in South Korea. Samples were analyzed with high-coverage liquid chromatography high-resolution mass spectrometry, providing extensive lipidome coverage with 994 successfully annotated lipid features. Lipidome differences between OC and other gynecological malignancies were investigated via statistical and machine learning approaches. Our data suggest that lipidome alterations unique to OC can be detected as early as when the cancer is localized, and those changes amplify as the diseases progresses. Comparison of the relative lipid abundances revealed specific patterns based on lipid class with most lipid classes showing decreased abundance in ovarian cancer. This study provides a systemic analysis of lipidome alterations in OC, emphasizing the potential of circulating lipids as a complementary class of blood-based biomarkers for OC diagnosis. |
| Institute | Georgia Institute of Technology |
| Last Name | Sah |
| First Name | Samyukta |
| Address | 901 Atlantic Dr NW, Atlanta, GA 30318 |
| ssah9@gatech.edu | |
| Phone | 574-678-0124 |
| Submit Date | 2023-03-10 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | raw(Thermo) |
| Analysis Type Detail | LC-MS |
| Release Date | 2023-04-12 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN004153 | AN004154 |
|---|---|---|
| Analysis type | MS | MS |
| Chromatography type | Reversed phase | Reversed phase |
| Chromatography system | Thermo Vanquish | Thermo Vanquish |
| Column | Thermo Accucore C30 (150 x 2.1mm,2.6um) | Thermo Accucore C30 (150 x 2.1mm,2.6um) |
| MS Type | ESI | ESI |
| MS instrument type | Orbitrap | Orbitrap |
| MS instrument name | Thermo Orbitrap ID-X tribrid | Thermo Orbitrap ID-X tribrid |
| Ion Mode | NEGATIVE | POSITIVE |
| Units | chromatographic peak area | chromatographic peak area |
MS:
| MS ID: | MS003900 |
| Analysis ID: | AN004153 |
| Instrument Name: | Thermo Orbitrap ID-X tribrid |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | MS data were acquired in the 150-2000 m/z range with a 120,000 mass resolution setting. For MS/MS experiments, the Thermo Scientific Deep AcquireX data acquisition workflow was performed. Stepped normalized collision energy (NCE) of 15,30,45 was used for fragmenting precursor ions in the HCD cell followed by Orbitrap analysis at 30,000 mass resolving power. Precursor ions were also fragmented with CID energy of 40 and were analyzed in the ion trap. Data were processed in Compound Discoverer 3.3. |
| Ion Mode: | NEGATIVE |
| MS ID: | MS003901 |
| Analysis ID: | AN004154 |
| Instrument Name: | Thermo Orbitrap ID-X tribrid |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | MS data were acquired in the 150-2000 m/z range with a 120,000 mass resolution setting. The most relevant MS parameters and the chromatographic gradient used are given in supplementary section Table S2 and S3, respectively. For MS/MS experiments, the Thermo Scientific Deep AcquireX data acquisition workflow was performed. Stepped normalized collision energy (NCE) of 15,30,45 was used for fragmenting precursor ions in the HCD cell followed by Orbitrap analysis at 30,000 mass resolving power. Precursor ions were also fragmented with CID energy of 40 and were analyzed in the ion trap. |
| Ion Mode: | POSITIVE |
