Summary of Study ST004047

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 PR002537. The data can be accessed directly via it's Project DOI: 10.21228/M8Q839 This work is supported by NIH grant, U2C- DK119886. See: https://www.metabolomicsworkbench.org/about/howtocite.php

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Study IDST004047
Study TitleArtificial intelligence platform for endometrial cancer risk stratification using clinical and molecular multi-omics data
Study SummaryEndometrial cancer (ENDOM) prevention remains challenging, creating an urgent need for better risk stratification tools. We developed a patient-centered bimodal multilevel endometrial cancer (2M-EC) predictive platform that integrates clinically accessible data with multi-biofluid multi-omics data. Our study established the MBF-ED cohort (n=531), collecting comprehensive clinical data and multi-dimensional body fluid samples. We processed these using a unique analytical pipeline: (1) simplifying clinical variables through empirical and data-driven methods, (2) extracting ENDOM-specific MS features using machine learning, and (3) developing an innovative bimodal AI architecture that fuses 2D MS omics matrices with 1D clinical vectors. The resulting patient-centered 2M-EC predictive platform provides real-time, interpretable risk stratification through an online interface. The advantages of it include overcoming single-marker limitations via multimodal integration, combining molecular depth with clinical practicality and scalable design adaptable to both resource-limited and advanced healthcare settings. This work demonstrates how AI can bridge cutting-edge molecular profiling with routine clinical practice, offering a new paradigm for patient-centered cancer risk assessment.
Institute
Fudan University
Last NameDANDAN
First NameLI
AddressFudan University
Emailoceanddl@sina.com
Phone18061019632
Submit Date2025-04-28
Raw Data AvailableYes
Raw Data File Type(s)mzML, raw(Thermo)
Analysis Type DetailLC-MS
Release Date2025-07-18
Release Version1
LI DANDAN LI DANDAN
https://dx.doi.org/10.21228/M8Q839
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR002537
Project DOI:doi: 10.21228/M8Q839
Project Title:Patient-centered artificial intelligence platform for endometrial cancer risk stratification using clinical and molecular multi-omics data
Project Summary:Endometrial cancer (ENDOM) prevention remains challenging, creating an urgent need for better risk stratification tools. We developed a patient-centered bimodal multilevel endometrial cancer (2M-EC) predictive platform that integrates clinically accessible data with multi-biofluid multi-omics data. Our study established the MBF-ED cohort (n=531), collecting comprehensive clinical data and multi-dimensional body fluid samples. We processed these using a unique analytical pipeline: (1) simplifying clinical variables through empirical and data-driven methods, (2) extracting ENDOM-specific MS features using machine learning, and (3) developing an innovative bimodal AI architecture that fuses 2D MS omics matrices with 1D clinical vectors. The resulting patient-centered 2M-EC predictive platform provides real-time, interpretable risk stratification through an online interface. The advantages of it include overcoming single-marker limitations via multimodal integration, combining molecular depth with clinical practicality and scalable design adaptable to both resource-limited and advanced healthcare settings. This work demonstrates how AI can bridge cutting-edge molecular profiling with routine clinical practice, offering a new paradigm for patient-centered cancer risk assessment.
Institute:Fudan University
Department:Chemistry department
Laboratory:LiangQiao lab
Last Name:DANDAN
First Name:LI
Address:Fudan University
Email:oceanddl@sina.com
Phone:18061019632

Subject:

Subject ID:SU004193
Subject Type:Human
Subject Species:Homo sapiens
Taxonomy ID:9606
Gender:Female

Factors:

Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)

mb_sample_id local_sample_id Sample source Sample type
SA467671P3-rpblood blood
SA467672P1blood blood
SA467673P2blood blood
SA467674P3blood blood
SA467675P2-rpblood blood
SA467676P1-rpblood blood
SA467677C2-rpcervix cervix
SA467678C3-rpcervix cervix
SA467679C1cervix cervix
SA467680C2cervix cervix
SA467681C3cervix cervix
SA467682C1-rpcervix cervix
SA467683U3uterine cavity uterine cavity
SA467684U2uterine cavity uterine cavity
SA467685U1uterine cavity uterine cavity
SA467686U1-rputerine cavity uterine cavity
SA467687U2-rputerine cavity uterine cavity
SA467688U3-rputerine cavity uterine cavity
Showing results 1 to 18 of 18

Collection:

Collection ID:CO004186
Collection Summary:Under sterile conditions in the operating room, endometrial secretions were collected using a disposable endometrial brush prior to uterine removal. The brush head was advanced 2 cm through the cervical canal and rotated three times in each uterine segment. Harvested tissue was transferred to 15 mL tubes containing 3 mL 80% methanol. Brush heads were detached with sterile forceps and co-stored. Samples were immediately flash-frozen in laparoscopic specimen liquid nitrogen containers, transported on dry ice, and stored at -80°C until metabolomic extraction. During preoperative examination, cervical secretion were collected using HPV brushes prior to bimanual palpation. Brush heads were directly immersed in 15 mL tubes with 80% methanol (Thermo Fisher Scientific, USA). Peripheral blood (8 mL) was collected preoperatively into EDTA tubes (BD Biosciences, USA).
Sample Type:Uterine secretion, cervical secretion, whole blood

Treatment:

Treatment ID:TR004202
Treatment Summary:no treatment

Sample Preparation:

Sampleprep ID:SP004199
Sampleprep Summary:In blood metabolomics, 50 μL whole blood was mixed with 200 μL ice-cold methanol:acetonitrile (1:1, v/v; Thermo Fisher Scientific, USA). The mixture was vortexed, sonicated for 2 min, and incubated at -20°C for 30 min. Following centrifugation at 16,000×g (4°C, 20 min), 100 μL supernatant was lyophilized and reconstituted in 20 μL methanol:acetonitrile:water (1:1:2, v/v/v). Samples were thawed at 4°C and homogenized by gentle vortex mixing. After centrifugation at 12,000 rpm (4°C, 5 min), the supernatant was carefully collected and aliquoted into two replicates. The supernatant was concentrated using a vacuum centrifugal concentrator (approximately 2 h) until lyophilized powder was obtained. The dried metabolites were stored at −80°C prior to downstream analysis. After reconstitution, samples were centrifuged at 16,000×g (4°C, 30 min) and the supernatant was analyzed. For plasma processing, 100 μL plasma was mixed with 400 μL (4× volume) of ice-cold methanol/acetonitrile (1:1, v/v), vortexed for 30 s, and sonicated for 2 min. The mixture was incubated at -20°C for 30 min for protein precipitation, then centrifuged at 16,000×g (4°C, 20 min). 300 μL supernatant was collected, concentrated to dryness by centrifugation, and stored at -80°C. After reconstitution, samples were centrifuged at 16,000×g (4°C, 30 min) and the supernatant was subjected to instrumental analysis.

Combined analysis:

Analysis ID AN006690 AN006691
Chromatography ID CH005082 CH005083
MS ID MS006389 MS006390
Analysis type MS MS
Chromatography type HILIC Reversed phase
Chromatography system Thermo Vanquish Thermo Vanquish
Column Waters ACQUITY UPLC BEH Amide (100 x 2.1mm,1.7um) Phenomenex Kinetex C18 (100 x 2.1mm,2.6um)
MS Type ESI ESI
MS instrument type Orbitrap Orbitrap
MS instrument name Thermo Orbitrap Exploris 480 Thermo Orbitrap Exploris 480
Ion Mode UNSPECIFIED UNSPECIFIED
Units mg/L mg/L

Chromatography:

Chromatography ID:CH005082
Chromatography Summary:HILIC (LC/MS)
Instrument Name:Thermo Vanquish
Column Name:Waters ACQUITY UPLC BEH Amide (100 x 2.1mm,1.7um)
Column Temperature:25
Flow Gradient:Linear gradient from 5% A to 60% A over 8 minutes, followed by a return to 5% A at 9.1 minutes, with mobile phase B inversely following the same pattern.
Flow Rate:0.5 mL/min
Solvent A:100% water; 25 mM ammonium acetate; 25 mM ammonium hydroxide
Solvent B:100% acetonitrile
Chromatography Type:HILIC
  
Chromatography ID:CH005083
Chromatography Summary:RP (LC/MS)
Instrument Name:Thermo Vanquish
Column Name:Phenomenex Kinetex C18 (100 x 2.1mm,2.6um)
Column Temperature:25
Flow Gradient:Linear gradient from 99% A to 1% A over 8 minutes, followed by a return to 99% A at 9.1 minutes, with mobile phase B inversely following the same pattern.
Flow Rate:0.3 mL/min
Solvent A:100% water; 0.01% acetic acid
Solvent B:50% acetonitrile/50% toluene dicarboxylic acid
Chromatography Type:Reversed phase

MS:

MS ID:MS006389
Analysis ID:AN006690
Instrument Name:Thermo Orbitrap Exploris 480
Instrument Type:Orbitrap
MS Type:ESI
MS Comments:The electrospray ionization mass spectra were acquired in polarity switching. Data dependent acquisition (DDA) was used to collect full scan MS and MSMS information simultaneously. The ion spray voltage was set to 3,500 V for positive mode and 2,800 V for negative mode. The survey of full scan MS spectra (m/z 70-1200) was acquired in the Orbitrap with 60,000 resolutions. The normalized automatic gain control (AGC) target at 100% and the maximum injection time
Ion Mode:UNSPECIFIED
  
MS ID:MS006390
Analysis ID:AN006691
Instrument Name:Thermo Orbitrap Exploris 480
Instrument Type:Orbitrap
MS Type:ESI
MS Comments:The electrospray ionization mass spectra were acquired in polarity switching. Data dependent acquisition (DDA) was used to collect full scan MS and MSMS information simultaneously. The ion spray voltage was set to 3,500 V for positive mode and 2,800 V for negative mode. The survey of full scan MS spectra (m/z 70-1200) was acquired in the Orbitrap with 60,000 resolutions. The normalized automatic gain control (AGC) target at 100% and the maximum injection time
Ion Mode:UNSPECIFIED
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