#METABOLOMICS WORKBENCH eschwiebert_20241007_125033 DATATRACK_ID:5268 STUDY_ID:ST003564 ANALYSIS_ID:AN005856 PROJECT_ID:PR002198
VERSION                          	1
CREATED_ON                       	11-07-2024
#PROJECT
PR:PROJECT_TITLE                 	Metabolomics of Papanicolaou Tests for the Discovery of Ovarian Cancer
PR:PROJECT_TITLE                 	Biomarkers
PR:PROJECT_TYPE                  	Untargeted Metabolomics
PR:PROJECT_SUMMARY               	Ovarian cancer (OC) remains one of the most lethal cancers among female
PR:PROJECT_SUMMARY               	populations due to the vast majority of cases going undiagnosed until later
PR:PROJECT_SUMMARY               	stages (stage III, IV). Early detection and treatment of this malignancy
PR:PROJECT_SUMMARY               	provides the best prognosis, but the lack of accurate and sensitive screening
PR:PROJECT_SUMMARY               	tools combined with the presence of ambiguous symptoms hinders these diagnoses.
PR:PROJECT_SUMMARY               	In contrast, screening for cervical cancer via Papanicolaou (Pap) tests is a
PR:PROJECT_SUMMARY               	widespread practice with use spanning the past several decades, reducing this
PR:PROJECT_SUMMARY               	cancer’s morbidity and mortality rates. Two types of Pap smear tests exist: a
PR:PROJECT_SUMMARY               	conventional method where cells from the ectocervix are stained on a glass slide
PR:PROJECT_SUMMARY               	and a liquid-based cytology method. Interestingly, previous studies show
PR:PROJECT_SUMMARY               	evidence of OC cells in Pap tests, suggesting that lipids shed from ovarian
PR:PROJECT_SUMMARY               	tumors may end up in the cervix. The goal of this study is to evaluate the
PR:PROJECT_SUMMARY               	practicality of using liquid-based Pap tests as biospecimens for OC
PR:PROJECT_SUMMARY               	screening-related metabolic studies. Cell pellets from liquid-based Pap tests
PR:PROJECT_SUMMARY               	from 29 healthy women were analyzed via ultra-high performance liquid
PR:PROJECT_SUMMARY               	chromatography mass spectrometry (UHPLC-MS). This approach facilitated the
PR:PROJECT_SUMMARY               	detection and annotation of 453 unique lipids across 20 lipid subclasses,
PR:PROJECT_SUMMARY               	including ceramides, triacylglycerols, and hexosylceramides. These results
PR:PROJECT_SUMMARY               	demonstrated the feasibility of using an MS-based approach to analyze residual
PR:PROJECT_SUMMARY               	Pap test samples for the discovery of OC-related lipid biomarkers with the goal
PR:PROJECT_SUMMARY               	of detecting OC at early stages of the disease.
PR:INSTITUTE                     	Georgia Institute of Technology
PR:DEPARTMENT                    	Chemistry and Biochemistry
PR:LABORATORY                    	Fernandez Lab
PR:LAST_NAME                     	Schwiebert
PR:FIRST_NAME                    	Elisabeth
PR:ADDRESS                       	311 Ferst Dr NW, Atlanta, Georgia, 30318, USA
PR:EMAIL                         	eschwiebert3@gatech.edu
PR:PHONE                         	4043854432
PR:FUNDING_SOURCE                	National Institutes of Health's National Center for Advancing Translational
PR:FUNDING_SOURCE                	Sciences
PR:DOI                           	http://dx.doi.org/10.21228/M8HC23
#STUDY
ST:STUDY_TITLE                   	Metabolomics of Papanicolaou Tests for the Discovery of Ovarian Cancer
ST:STUDY_TITLE                   	Biomarkers
ST:STUDY_TYPE                    	Metabolomics Studies on Papanicolaou Tests
ST:STUDY_SUMMARY                 	Ovarian cancer (OC) remains one of the most lethal cancers among female
ST:STUDY_SUMMARY                 	populations due to the vast majority of cases going undiagnosed until later
ST:STUDY_SUMMARY                 	stages (stage III, IV). Early detection and treatment of this malignancy
ST:STUDY_SUMMARY                 	provides the best prognosis, but the lack of accurate and sensitive screening
ST:STUDY_SUMMARY                 	tools combined with the presence of ambiguous symptoms hinders these diagnoses.
ST:STUDY_SUMMARY                 	In contrast, screening for cervical cancer via Papanicolaou (Pap) tests is a
ST:STUDY_SUMMARY                 	widespread practice with use spanning the past several decades, reducing this
ST:STUDY_SUMMARY                 	cancer’s morbidity and mortality rates. Two types of Pap smear tests exist: a
ST:STUDY_SUMMARY                 	conventional method where cells from the ectocervix are stained on a glass slide
ST:STUDY_SUMMARY                 	and a liquid-based cytology method. Interestingly, previous studies show
ST:STUDY_SUMMARY                 	evidence of OC cells in Pap tests, suggesting that lipids shed from ovarian
ST:STUDY_SUMMARY                 	tumors may end up in the cervix. The goal of this study is to evaluate the
ST:STUDY_SUMMARY                 	practicality of using liquid-based Pap tests as biospecimens for OC
ST:STUDY_SUMMARY                 	screening-related metabolic studies. Cell pellets, extracted from residual Pap
ST:STUDY_SUMMARY                 	test fluid (RPF), from liquid-based Pap tests from 29 healthy women were
ST:STUDY_SUMMARY                 	analyzed via ultra-high performance liquid chromatography mass spectrometry
ST:STUDY_SUMMARY                 	(UHPLC-MS). This approach facilitated the detection and annotation of 453 unique
ST:STUDY_SUMMARY                 	lipids across 20 lipid subclasses, including ceramides, triacylglycerols, and
ST:STUDY_SUMMARY                 	hexosylceramides. These results demonstrated the feasibility of using an
ST:STUDY_SUMMARY                 	MS-based approach to analyze residual Pap test samples for the discovery of
ST:STUDY_SUMMARY                 	OC-related lipid biomarkers with the goal of detecting OC at early stages of the
ST:STUDY_SUMMARY                 	disease.
ST:INSTITUTE                     	Georgia Institute of Technology
ST:DEPARTMENT                    	Chemistry and Biochemistry
ST:LABORATORY                    	Fernandez Lab
ST:LAST_NAME                     	Schwiebert
ST:FIRST_NAME                    	Elisabeth
ST:ADDRESS                       	311 Ferst Dr NW, Atlanta, Georgia, 30318, USA
ST:EMAIL                         	eschwiebert3@gatech.edu
ST:PHONE                         	4043854432
ST:SUBMIT_DATE                   	2024-10-07
#SUBJECT
SU:SUBJECT_TYPE                  	Human
SU:SUBJECT_SPECIES               	Homo sapiens
SU:TAXONOMY_ID                   	9606
SU:AGE_OR_AGE_RANGE              	50+
SU:GENDER                        	Female
#SUBJECT_SAMPLE_FACTORS:         	SUBJECT(optional)[tab]SAMPLE[tab]FACTORS(NAME:VALUE pairs separated by |)[tab]Additional sample data
SUBJECT_SAMPLE_FACTORS           	Blank-01	blank1	Sample source:Blank | Sample Type:Blank	RAW_FILE_NAME=blank1.mzML
SUBJECT_SAMPLE_FACTORS           	Blank-02	blank2	Sample source:Blank | Sample Type:Blank	RAW_FILE_NAME=blank2.mzML
SUBJECT_SAMPLE_FACTORS           	Blank-03	blank3	Sample source:Blank | Sample Type:Blank	RAW_FILE_NAME=blank3.mzML
SUBJECT_SAMPLE_FACTORS           	Blank-04	blank4	Sample source:Blank | Sample Type:Blank	RAW_FILE_NAME=blank4.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-10	10	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=10.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-101	101	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=101.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-105	105	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=105.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-111	111	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=111.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-113	113	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=113.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-119	119	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=119.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-132	132	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=132.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-14	14	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=14.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-151	151	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=151.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-154	154	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=154.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-160	160	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=160.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-18	18	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=18.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-20	20	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=20.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-26	26	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=26.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-34	34	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=34.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-35	35	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=35.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-43	43	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=43.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-49	49	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=49.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-06	6	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=6.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-61	61	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=61.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-69	69	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=69.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-73	73	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=73.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-74	74	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=74.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-76	76	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=76.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-77	77	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=77.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-84	84	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=84.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-93	93	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=93.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-96	96	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=96.mzML
SUBJECT_SAMPLE_FACTORS           	Pellet-99	99	Sample source:Cell Pellet (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=99.mzML
SUBJECT_SAMPLE_FACTORS           	QC0	QC0	Sample source:QC | Sample Type:Pool	RAW_FILE_NAME=QC0.mzML
SUBJECT_SAMPLE_FACTORS           	QC00	QC00	Sample source:QC | Sample Type:Pool	RAW_FILE_NAME=QC00.mzML
SUBJECT_SAMPLE_FACTORS           	QC1	QC1	Sample source:QC | Sample Type:Pool	RAW_FILE_NAME=QC1.mzML
SUBJECT_SAMPLE_FACTORS           	QC2	QC2	Sample source:QC | Sample Type:Pool	RAW_FILE_NAME=QC2.mzML
SUBJECT_SAMPLE_FACTORS           	QC3	QC3	Sample source:QC | Sample Type:Pool	RAW_FILE_NAME=QC3.mzML
SUBJECT_SAMPLE_FACTORS           	QC4	QC4	Sample source:QC | Sample Type:Pool	RAW_FILE_NAME=QC4.mzML
SUBJECT_SAMPLE_FACTORS           	QC5	QC5	Sample source:QC | Sample Type:Pool	RAW_FILE_NAME=QC5.mzML
SUBJECT_SAMPLE_FACTORS           	Supernatent-27-01	27-01	Sample source:Supernatant (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=Supernatent-27-01.mzML
SUBJECT_SAMPLE_FACTORS           	Supernatent-27-02	27-02	Sample source:Supernatant (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=Supernatent-27-02.mzML
SUBJECT_SAMPLE_FACTORS           	Supernatent-27-03	27-03	Sample source:Supernatant (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=Supernatent-27-03.mzML
SUBJECT_SAMPLE_FACTORS           	Supernatent-45-01	45-01	Sample source:Supernatant (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=Supernatent-45-01.mzML
SUBJECT_SAMPLE_FACTORS           	Supernatent-45-02	45-02	Sample source:Supernatant (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=Supernatent-45-02.mzML
SUBJECT_SAMPLE_FACTORS           	Supernatent-45-03	45-03	Sample source:Supernatant (extracted from RPF) | Sample Type:Control	RAW_FILE_NAME=Supernatent-45-03.mzML
#COLLECTION
CO:COLLECTION_SUMMARY            	Samples were vortexed and centrifuged to separate samples' cell pellet and
CO:COLLECTION_SUMMARY            	supernatant layers before undergoing separate extraction methods. The residual
CO:COLLECTION_SUMMARY            	BD SurePathTM liquid-based Pap test samples (~2 mL each) were transferred to 2
CO:COLLECTION_SUMMARY            	mL microcentrifuge tubes. Samples were vortexed for 10s followed by
CO:COLLECTION_SUMMARY            	centrifugation at approximately 7,130 x g (5000 rpm) for 5 minutes to pellet the
CO:COLLECTION_SUMMARY            	cells. Supernatants were removed and saved for further analysis.
CO:SAMPLE_TYPE                   	Supernatants and cell pellets extracted from residual Pap test fluid
#TREATMENT
TR:TREATMENT_SUMMARY             	Residual Papanicolaou tests were obtained from the University of Minnesota
TR:TREATMENT_SUMMARY             	BioNext Tissue Procurement Facility and stored at 4-5C prior to analysis.
#SAMPLEPREP
SP:SAMPLEPREP_SUMMARY            	Cell pellets, extracted from residual Pap test fluid, were dried in a SpeedVac
SP:SAMPLEPREP_SUMMARY            	and weighed. Six hundred µL of IPA and 0.2 grams of 500 µm glass beads were
SP:SAMPLEPREP_SUMMARY            	then added to each cell pellet, followed by homogenization in a Tissuelyser.
SP:SAMPLEPREP_SUMMARY            	Samples were then re-dried in a SpeedVac, and the metabolites were extracted
SP:SAMPLEPREP_SUMMARY            	with a biphasic solution comprised of 600 µL chloroform, 600 µL methanol, and
SP:SAMPLEPREP_SUMMARY            	300 µL water. Extracts were sonicated for 5 minutes and then centrifuged at
SP:SAMPLEPREP_SUMMARY            	21,100 x g (14,800 rpm) for 7 minutes. The chloroform extract from each sample
SP:SAMPLEPREP_SUMMARY            	was transferred to a 1.5 mL microcentrifuge tube and dried in the SpeedVac. An
SP:SAMPLEPREP_SUMMARY            	extraction mixture was prepared by mixing 50 µL of the isotopically labeled
SP:SAMPLEPREP_SUMMARY            	internal standards mixture with 3000 µL of IPA. Eighty microliters of this
SP:SAMPLEPREP_SUMMARY            	mixture were added to each of the dried chloroform extracts. After IPA
SP:SAMPLEPREP_SUMMARY            	extraction, samples underwent a second cycle of sonication for 5 minutes and
SP:SAMPLEPREP_SUMMARY            	centrifugation at 21,100 x g (14,800 rpm) for 7 minutes. Cell pellet extracts
SP:SAMPLEPREP_SUMMARY            	and supernatant extracts were then transferred to LC-vials for UHPLC-MS
SP:SAMPLEPREP_SUMMARY            	analysis. A blank sample was prepared with LC-MS grade IPA and underwent the
SP:SAMPLEPREP_SUMMARY            	same preparation process as the samples. A pooled quality control (QC) sample
SP:SAMPLEPREP_SUMMARY            	was prepared by mixing 3 µL aliquots of each of the sample extracts. Samples
SP:SAMPLEPREP_SUMMARY            	were stored at 4-5 ºC until analysis.
#CHROMATOGRAPHY
CH:CHROMATOGRAPHY_SUMMARY        	Negative Ion Mode; Solvent A: 10 mM Ammonium Acetate in Water/Acetonitrile
CH:CHROMATOGRAPHY_SUMMARY        	(40:60 v/v); Solvent B: 10 mM Ammonium Acetate in 2-Isopropanol/Acetonitrile
CH:CHROMATOGRAPHY_SUMMARY        	(90:10 v/v)
CH:METHODS_FILENAME              	Pap_Negative_MS1.pdf
CH:INSTRUMENT_NAME               	Thermo Vanquish
CH:COLUMN_NAME                   	Thermo Accucore C30 (150 x 2.1mm,2.6um)
CH:COLUMN_TEMPERATURE            	50
CH:FLOW_GRADIENT                 	0 min: 20% B, 0-1 min: 20% B, 1-5 min: 60% B, 5-5.5 min: 70% B, 5.5-8 min: 85%
CH:FLOW_GRADIENT                 	B, 8-8.2: 90% B, 8.2-10.5: 100% B, 10.5-10.7: 100% B, 10.7-12: 20% B
CH:FLOW_RATE                     	0.400 mL/min
CH:SOLVENT_A                     	40% Water/60% Acetonitrile; 10 mM Ammonium Acetate in
CH:SOLVENT_B                     	90% 2-Isopropanol/10% Acetonitrile; 10 mM Ammonium Acetate
CH:CHROMATOGRAPHY_TYPE           	Reversed phase
#ANALYSIS
AN:ANALYSIS_TYPE                 	MS
AN:ACQUISITION_PARAMETERS_FILE   	Pap_Negative_MS1.pdf; Pap_Negative_MS2.pdf
#MS
MS:INSTRUMENT_NAME               	Thermo Orbitrap ID-X Tribrid
MS:INSTRUMENT_TYPE               	Orbitrap
MS:MS_TYPE                       	ESI
MS:MS_COMMENTS                   	MS1 Analysis. Raw data files were processed using Compound Discoverer v3.3.
MS:ION_MODE                      	NEGATIVE
MS:MS_RESULTS_FILE               	ST003564_AN005856_Results.txt	UNITS:Peak area	Has m/z:Yes	Has RT:Yes	RT units:Minutes
#END