Evidence map›Paper›PMID 42723154›Full record

ArticleCancer medicine2026

Impact of Dyslipidemia on Clinical Outcomes Among Cancer Patients Treated With Immune Checkpoint Inhibitors.

Yao Liang, Osamu Maeda, Shohei Ishida, Kenji Zennami, Tomokazu Kimura, Satoshi Inoue, Tomoyasu Sano, Yuta Sano, Yushi Naito, Kazushi Miyata and 6 more

Abstract read
In one paragraph

Article in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Yao LiangDivision of Clinical Oncology and Chemotherapy, Department of Integrated Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Osamu MaedaDepartment of Clinical Oncology and Chemotherapy, Nagoya University Hospital, Nagoya, Japan.ORCID https://orcid.org/0000-0003-4700-6541
Shohei IshidaDepartment of Urology, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID https://orcid.org/0000-0002-9338-4781
Kenji ZennamiDepartment of Urology, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID https://orcid.org/0000-0001-8455-7364
Tomokazu KimuraDepartment of Urology, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID https://orcid.org/0000-0003-1201-1260
Satoshi InoueDepartment of Urology, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID https://orcid.org/0000-0002-0393-5771
Tomoyasu SanoDepartment of Urology, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID https://orcid.org/0000-0002-5665-528X
Yuta SanoDepartment of Urology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yushi NaitoDepartment of Urology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kazushi MiyataDepartment of Surgery, Nagoya University Hospital, Nagoya, Japan.ORCID https://orcid.org/0000-0002-0315-9637
Dai ShimizuDepartment of Surgery, Nagoya University Hospital, Nagoya, Japan.ORCID https://orcid.org/0000-0001-7982-1079
Kazuki NishidaDepartment of Biostatistics, Kyoto University School of Public Health, Kyoto, Japan.ORCID https://orcid.org/0000-0003-0367-8557
Basile ChrétienDepartment of International Medical Education, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID https://orcid.org/0000-0002-7483-2489
Mitsuro KandaDepartment of Surgery, Nagoya University Hospital, Nagoya, Japan.
Shusuke AkamatsuDepartment of Urology, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID https://orcid.org/0000-0002-1394-7506
Yuichi AndoDivision of Clinical Oncology and Chemotherapy, Department of Integrated Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID https://orcid.org/0000-0002-6849-2297

Funding

JST SPRING JPMJSP2125
6 · The paper itself

Abstract

This study aimed to investigate the influence of baseline blood lipid profiles on therapeutic efficacy and adverse events (AEs) among cancer patients treated with immune checkpoint inhibitors (ICIs). We retrospectively analyzed patients with solid tumors who received ICIs, with a focus on their blood lipid profiles at baseline. Associations between dyslipidemia and clinical outcomes following ICI therapy were assessed using both univariate and multivariable analyses. A total of 99 eligible patients were included: 52 with renal cell carcinoma, 23 with urothelial carcinoma, and 24 with esophageal carcinoma. Among patients with renal cell carcinoma, low-density lipoprotein (LDL) cholesterol ≥ 140 mg/dL (p = 0.013) and high-density lipoprotein (HDL) cholesterol ≤ 40 mg/dL (p = 0.040) were significantly associated with shorter overall survival. Conversely, among patients with esophageal carcinoma, LDL cholesterol ≥ 120 mg/dL was associated with longer progression-free survival (p = 0.035). Among all patients, HDL cholesterol < 40 mg/dL was identified as a risk factor for Grade 3 or higher AEs (p = 0.018), especially liver injury (p = 0.033). Prior statin use was associated with a trend toward an improved response to ICIs among patients with renal cell carcinoma (p = 0.057). Baseline blood lipid profiles-particularly LDL and HDL cholesterol levels-may influence clinical outcomes among cancer patients receiving ICI therapy. These findings suggest that lipid profiles might serve as predictive biomarkers for the efficacy and safety of ICIs.

Indexed as

DyslipidemiasImmune Checkpoint InhibitorsNeoplasmsAgedAged, 80 and overCarcinoma, Renal CellFemaleHumansKidney NeoplasmsMaleMiddle AgedProgression-Free SurvivalRetrospective StudiesTreatment OutcomeImmune Checkpoint Inhibitorsdyslipidemiasesophageal neoplasmsimmune checkpoint inhibitorsrenal cell carcinomatransitional cell carcinoma

Identifiers

PMID42723154
PMCPMC13562609

What OpenQuestion holds

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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.