Evidence map›Paper›PMID 37381978›Full record

ArticleCancer medicine2023

Pre-diagnosis lipid levels and mortality after obesity-related cancer diagnosis in the Women's Health Initiative cardiovascular disease biomarker cohort.

Gayane Hovsepyan, Ana Barac, Theodore M Brasky, Aladdin H Shadyab, Amy Lehman, Eric M McLaughlin, Nazmus Saquib, Neil M Iyengar, Robert A Wild, Bette J Caan and 4 more

Abstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Gayane HovsepyanWayne State University School of Medicine, Detroit, Michigan, USA.
Ana BaracGeorgetown University, Washington, District of Columbia, USA.
Theodore M BraskyComprehensive Cancer Center, Ohio State University, Columbus, Ohio, USA.ORCID 0000-0001-7781-609X
Aladdin H ShadyabHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA.
Amy LehmanCenter for Biostatistics, Ohio State University, Columbus, Ohio, USA.
Eric M McLaughlinCenter for Biostatistics, Ohio State University, Columbus, Ohio, USA.
Nazmus SaquibCollege of Medicine, Sulaiman AlRajhi University, Al Bukayriyah, Saudi Arabia.
Neil M IyengarMemorial Sloan Kettering Cancer Center, New York, New York, USA.
Robert A WildUniversity of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA.
Bette J CaanDivision of Research, Kaiser Permanente Medical Program of Northern California, Oakland, California, USA.
Pinkal DesaiDepartment of Oncology, Weill Cornell Medical Center, New York, New York, USA.ORCID 0000-0002-9816-7284
Jennifer Beebe DimmerWayne State University School of Medicine, Detroit, Michigan, USA.ORCID 0000-0002-4320-739X
Cynthia A ThomsonDepartment of Health Promotion Sciences, Mel & Enid Zuckerman College of Public Health and Arizona Cancer Center, University of Arizona, Tucson, Arizona, USA.
Michael S SimonWayne State University School of Medicine, Detroit, Michigan, USA.ORCID 0000-0002-3237-6761

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Women's Health Initiative Cancer Survivor CohortUM1CA173642 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ANDERSON, GARNET L., CAAN, BETTE J · 2013 to 2018
$12.1M
NCI NIH HHS P30 CA008748NCI NIH HHS UM1 CA173642
6 · The paper itself

Abstract

backgroundPublished studies have demonstrated inconclusive relationships between serum lipid levels and mortality after cancer.

methodsThe primary objective was to evaluate the relationship between fasting lipid levels and mortality after cancer. Data were obtained on baseline lipids and outcomes after cancer from 1263 postmenopausal women diagnosed with 13 obesity-related cancers who were part of the Women's Health Initiative (WHI) lipid biomarkers cohort. Obesity-related cancers included incident invasive cancers of the breast, colorectum, endometrium, esophagus (adenocarcinoma), kidney, liver, gallbladder, pancreas, ovaries, small intestine, thyroid, stomach, as well as multiple myeloma. Baseline lipid measurements included high-density lipoprotein (HDL)-cholesterol, low-density lipoprotein (LDL)-cholesterol, and non-HDL-cholesterol. Outcomes were all cause, cancer-specific, and CVD mortality. Multivariable Cox proportional hazards models were used to measure associations between lipid levels and mortality (all cause, cancer, and CVD) after a cancer diagnosis, with lipids analyzed as continuous variables.

resultsAmong women with obesity-related cancer, there were 707 deaths, of which 379 (54%) were due to cancer and 113 (16%) were due to CVD. Mean time from blood draw to cancer diagnosis was 5.1 years (range: 0.05-10 years). LDL-C values above the 95th percentile were associated with higher risk of all-cause mortality (p < 0.001), and cancer-specific mortality (p < 0.001), but not mortality due to CVD. Non-HDL-C values above the 65th percentile were associated with higher risk of all-cause mortality (p = 0.01) and mortality due to CVD (p = 0.003), but not cancer-specific mortality (p = 0.37). HDL-C values above the 95th percentile were associated with lower all-cause mortality (p = 0.002), and above the 65th percentile with lower cancer-specific mortality (p = 0.003), but no significant relationship with mortality due to CVD was observed.

conclusionsThe relationship between pre-diagnosis fasting lipid levels and mortality after cancer diagnosis is complex. These results suggest that improved lipid control through lifestyle and anti-lipid medications could have a meaningful impact on outcomes after cancer.

Indexed as

Cardiovascular DiseasesMultiple MyelomaBiomarkersCholesterolCholesterol, HDLFemaleHumansObesityRisk FactorsWomen's HealthBiomarkersCholesterolCholesterol, HDLlipidsobesity related cancersurvivalwomen's health initiative

Identifiers

PMID37381978
PMCPMC10469749

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.