Association of lipid profile biomarkers with breast cancer by molecular subtype : analysis of the MEND study
© 2022. The Author(s)..
There is conflicting evidence on the role of lipid biomarkers in breast cancer (BC), and no study to our knowledge has examined this association among African women. We estimated odds ratios (ORs) and 95% confidence intervals (95% CI) for the association of lipid biomarkers-total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and triglycerides-with odds of BC overall and by subtype (Luminal A, Luminal B, HER2-enriched and triple-negative or TNBC) for 296 newly diagnosed BC cases and 116 healthy controls in Nigeria. Each unit standard deviation (SD) increase in triglycerides was associated with 39% increased odds of BC in fully adjusted models (aOR: 1.39; 95% CI: 1.03, 1.86). Among post-menopausal women, higher total cholesterol (aOR: 1.65; 95% CI: 1.06, 2.57), LDL cholesterol (aOR: 1.59; 95% CI: 1.04, 2.41), and triglycerides (aOR: 1.91; 95% CI: 1.21, 3.01) were associated with increased odds of BC. Additionally, each unit SD increase in LDL was associated with 64% increased odds of Luminal B BC (aOR 1.64; 95% CI: 1.06, 2.55). Clinically low HDL was associated with 2.7 times increased odds of TNBC (aOR 2.67; 95% CI: 1.10, 6.49). Among post-menopausal women, higher LDL cholesterol and triglycerides were significantly associated with increased odds of Luminal B BC and HER2 BC, respectively. In conclusion, low HDL and high LDL are associated with increased odds of TN and Luminal B BC, respectively, among African women. Future prospective studies can definitively characterize this association and inform clinical approaches targeting HDL as a BC prevention strategy.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2022 |
|---|---|
| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:12 |
|---|---|
| Enthalten in: |
Scientific reports - 12(2022), 1 vom: 23. Juni, Seite 10631 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Gupta, Anjali [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Biomarkers |
|---|
| Anmerkungen: |
Date Completed 27.06.2022 Date Revised 01.12.2023 published: Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1038/s41598-022-13740-x |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM342602918 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM342602918 | ||
| 003 | DE-627 | ||
| 005 | 20231226204904.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2022 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1038/s41598-022-13740-x |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1141.xml |
| 035 | |a (DE-627)NLM342602918 | ||
| 035 | |a (NLM)35739205 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Gupta, Anjali |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Association of lipid profile biomarkers with breast cancer by molecular subtype |b analysis of the MEND study |
| 264 | 1 | |c 2022 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 27.06.2022 | ||
| 500 | |a Date Revised 01.12.2023 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2022. The Author(s). | ||
| 520 | |a There is conflicting evidence on the role of lipid biomarkers in breast cancer (BC), and no study to our knowledge has examined this association among African women. We estimated odds ratios (ORs) and 95% confidence intervals (95% CI) for the association of lipid biomarkers-total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and triglycerides-with odds of BC overall and by subtype (Luminal A, Luminal B, HER2-enriched and triple-negative or TNBC) for 296 newly diagnosed BC cases and 116 healthy controls in Nigeria. Each unit standard deviation (SD) increase in triglycerides was associated with 39% increased odds of BC in fully adjusted models (aOR: 1.39; 95% CI: 1.03, 1.86). Among post-menopausal women, higher total cholesterol (aOR: 1.65; 95% CI: 1.06, 2.57), LDL cholesterol (aOR: 1.59; 95% CI: 1.04, 2.41), and triglycerides (aOR: 1.91; 95% CI: 1.21, 3.01) were associated with increased odds of BC. Additionally, each unit SD increase in LDL was associated with 64% increased odds of Luminal B BC (aOR 1.64; 95% CI: 1.06, 2.55). Clinically low HDL was associated with 2.7 times increased odds of TNBC (aOR 2.67; 95% CI: 1.10, 6.49). Among post-menopausal women, higher LDL cholesterol and triglycerides were significantly associated with increased odds of Luminal B BC and HER2 BC, respectively. In conclusion, low HDL and high LDL are associated with increased odds of TN and Luminal B BC, respectively, among African women. Future prospective studies can definitively characterize this association and inform clinical approaches targeting HDL as a BC prevention strategy | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Research Support, N.I.H., Extramural | |
| 650 | 7 | |a Biomarkers |2 NLM | |
| 650 | 7 | |a Cholesterol, HDL |2 NLM | |
| 650 | 7 | |a Cholesterol, LDL |2 NLM | |
| 650 | 7 | |a Triglycerides |2 NLM | |
| 700 | 1 | |a Saraiya, Veeral |e verfasserin |4 aut | |
| 700 | 1 | |a Deveaux, April |e verfasserin |4 aut | |
| 700 | 1 | |a Oyekunle, Taofik |e verfasserin |4 aut | |
| 700 | 1 | |a Jackson, Klarissa D |e verfasserin |4 aut | |
| 700 | 1 | |a Salako, Omolola |e verfasserin |4 aut | |
| 700 | 1 | |a Daramola, Adetola |e verfasserin |4 aut | |
| 700 | 1 | |a Hall, Allison |e verfasserin |4 aut | |
| 700 | 1 | |a Alatise, Olusegun |e verfasserin |4 aut | |
| 700 | 1 | |a Ogun, Gabriel |e verfasserin |4 aut | |
| 700 | 1 | |a Adeniyi, Adewale |e verfasserin |4 aut | |
| 700 | 1 | |a Ayandipo, Omobolaji |e verfasserin |4 aut | |
| 700 | 1 | |a Olajide, Thomas |e verfasserin |4 aut | |
| 700 | 1 | |a Olasehinde, Olalekan |e verfasserin |4 aut | |
| 700 | 1 | |a Arowolo, Olukayode |e verfasserin |4 aut | |
| 700 | 1 | |a Adisa, Adewale |e verfasserin |4 aut | |
| 700 | 1 | |a Afuwape, Oludolapo |e verfasserin |4 aut | |
| 700 | 1 | |a Olusanya, Aralola |e verfasserin |4 aut | |
| 700 | 1 | |a Adegoke, Aderemi |e verfasserin |4 aut | |
| 700 | 1 | |a Tollefsbol, Trygve O |e verfasserin |4 aut | |
| 700 | 1 | |a Arnett, Donna |e verfasserin |4 aut | |
| 700 | 1 | |a Muehlbauer, Michael J |e verfasserin |4 aut | |
| 700 | 1 | |a Newgard, Christopher B |e verfasserin |4 aut | |
| 700 | 0 | |a H3 Africa Kidney Research Network |e verfasserin |4 aut | |
| 700 | 1 | |a Akinyemiju, Tomi |e verfasserin |4 aut | |
| 700 | 1 | |a Ajayi, Samuel |e investigator |4 oth | |
| 700 | 1 | |a Raji, Yemi |e investigator |4 oth | |
| 700 | 1 | |a Olanrewaju, Timothy |e investigator |4 oth | |
| 700 | 1 | |a Osafo, Charlotte |e investigator |4 oth | |
| 700 | 1 | |a Ulasi, Ifeoma |e investigator |4 oth | |
| 700 | 1 | |a Asinobi, Adanze |e investigator |4 oth | |
| 700 | 1 | |a Winkler, Cheryl A |e investigator |4 oth | |
| 700 | 1 | |a Burke, David |e investigator |4 oth | |
| 700 | 1 | |a Arogundade, Fatiu |e investigator |4 oth | |
| 700 | 1 | |a Ekem, Ivy |e investigator |4 oth | |
| 700 | 1 | |a Plange-Rhule, Jacob |e investigator |4 oth | |
| 700 | 1 | |a Mamven, Manmak |e investigator |4 oth | |
| 700 | 1 | |a Mate-Kole, Michael |e investigator |4 oth | |
| 700 | 1 | |a Amodu, Olukemi |e investigator |4 oth | |
| 700 | 1 | |a Cooper, Richard |e investigator |4 oth | |
| 700 | 1 | |a Antwi, Sampson |e investigator |4 oth | |
| 700 | 1 | |a Adeyemo, Adebowale |e investigator |4 oth | |
| 700 | 1 | |a Ilori, Titilayo |e investigator |4 oth | |
| 700 | 1 | |a Adabayeri, Victoria |e investigator |4 oth | |
| 700 | 1 | |a Nyarko, Alexander |e investigator |4 oth | |
| 700 | 1 | |a Ghansah, Anita |e investigator |4 oth | |
| 700 | 1 | |a Amos-Abanyie, Ernestine Kubi |e investigator |4 oth | |
| 700 | 1 | |a Akyaw, Priscilla Abena |e investigator |4 oth | |
| 700 | 1 | |a Kimmel, Paul L |e investigator |4 oth | |
| 700 | 1 | |a Salako, Babatunde L |e investigator |4 oth | |
| 700 | 1 | |a Parekh, Rulan S |e investigator |4 oth | |
| 700 | 1 | |a Tayo, Bamidele |e investigator |4 oth | |
| 700 | 1 | |a Gbadegesin, Rasheed |e investigator |4 oth | |
| 700 | 1 | |a Boehnke, Michael |e investigator |4 oth | |
| 700 | 1 | |a Lyons, Robert |e investigator |4 oth | |
| 700 | 1 | |a Brosius, Frank |e investigator |4 oth | |
| 700 | 1 | |a Clauw, Daniel |e investigator |4 oth | |
| 700 | 1 | |a Adindu, Chijioke |e investigator |4 oth | |
| 700 | 1 | |a Bewaji, Clement |e investigator |4 oth | |
| 700 | 1 | |a Tannor, Elliot Koranteng |e investigator |4 oth | |
| 700 | 1 | |a Okyere, Perditer |e investigator |4 oth | |
| 700 | 1 | |a Ijoma, Chuba |e investigator |4 oth | |
| 700 | 1 | |a Tiffin, Nicki |e investigator |4 oth | |
| 700 | 1 | |a Gamiedien, Junaid |e investigator |4 oth | |
| 700 | 1 | |a Hildebrandt, Friedhelm |e investigator |4 oth | |
| 700 | 1 | |a Odenigbo, Charles |e investigator |4 oth | |
| 700 | 1 | |a Jisieike-Onuigbo, Nonyelun |e investigator |4 oth | |
| 700 | 1 | |a Modebe, Ifeoma |e investigator |4 oth | |
| 700 | 1 | |a Abdu, Aliyu |e investigator |4 oth | |
| 700 | 1 | |a Obiagwu, Patience |e investigator |4 oth | |
| 700 | 1 | |a Okoye, Ogochukwu |e investigator |4 oth | |
| 700 | 1 | |a Solarin, Adaobi |e investigator |4 oth | |
| 700 | 1 | |a Amira, Toyin |e investigator |4 oth | |
| 700 | 1 | |a Esezobor, Christopher |e investigator |4 oth | |
| 700 | 1 | |a Makusidi, Muhammad |e investigator |4 oth | |
| 700 | 1 | |a Saraf, Santosh |e investigator |4 oth | |
| 700 | 1 | |a Gordeuk, Victor |e investigator |4 oth | |
| 700 | 1 | |a Ashuntangtang, Gloria |e investigator |4 oth | |
| 700 | 1 | |a Guenkam, Georgette |e investigator |4 oth | |
| 700 | 1 | |a Kazi, Folefack |e investigator |4 oth | |
| 700 | 1 | |a Adedoyin, Olanrewaju |e investigator |4 oth | |
| 700 | 1 | |a McCullough, Mignon |e investigator |4 oth | |
| 700 | 1 | |a Nourse, Peter |e investigator |4 oth | |
| 700 | 1 | |a Okafor, Uche |e investigator |4 oth | |
| 700 | 1 | |a Anigilaje, Emmanuel |e investigator |4 oth | |
| 700 | 1 | |a Ikpebe, Patrick |e investigator |4 oth | |
| 700 | 1 | |a Odetunde, Tola |e investigator |4 oth | |
| 700 | 1 | |a Mbanefo, Ngozi |e investigator |4 oth | |
| 700 | 1 | |a Olowu, Wasiu |e investigator |4 oth | |
| 700 | 1 | |a Tindana, Paulina |e investigator |4 oth | |
| 700 | 1 | |a Awobusuyi, Olubenga |e investigator |4 oth | |
| 700 | 1 | |a Ogedegbe, Olugbenga |e investigator |4 oth | |
| 700 | 1 | |a Olabisi, Opeyemi |e investigator |4 oth | |
| 700 | 1 | |a Skorecki, Karl |e investigator |4 oth | |
| 700 | 1 | |a Adebowale, Ademola |e investigator |4 oth | |
| 700 | 1 | |a Kretzler, Matthias |e investigator |4 oth | |
| 700 | 1 | |a Hodgin, Jeffrey |e investigator |4 oth | |
| 700 | 1 | |a Adu, Dwomoa |e investigator |4 oth | |
| 700 | 1 | |a Ojo, Akinlolu |e investigator |4 oth | |
| 700 | 1 | |a Boima, Vincent |e investigator |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |t Scientific reports |d 2011 |g 12(2022), 1 vom: 23. Juni, Seite 10631 |w (DE-627)NLM215703936 |x 2045-2322 |7 nnns |
| 773 | 1 | 8 | |g volume:12 |g year:2022 |g number:1 |g day:23 |g month:06 |g pages:10631 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1038/s41598-022-13740-x |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 12 |j 2022 |e 1 |b 23 |c 06 |h 10631 | ||