Evidence map›Paper›PMID 37796838›Full record

ArticleThe oncologist2024

Prognostic Impact of Blood Lipid Profile in Patients With Advanced Solid Tumors Treated With Immune Checkpoint Inhibitors: A Multicenter Cohort Study.

Federica Pecci, Luca Cantini, Valeria Cognigni, Fabiana Perrone, Giulia Mazzaschi, Veronica Agostinelli, Giulia Mentrasti, Elda Favari, Michele Maffezzoli, Alessio Cortellini and 17 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in The oncologist, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

15 citing papers in PubMed, 16 citations in OpenAlex.

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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

27 authors at 5 institutions in 3 countries.

Federica PecciDepartment of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.
Luca CantiniDepartment of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.
Valeria CognigniDepartment of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.
Fabiana PerroneDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Giulia MazzaschiDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Veronica AgostinelliDepartment of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.
Giulia MentrastiDepartment of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.
Elda FavariDepartment of Food and Drug, University of Parma, Parma, Italy.
Michele MaffezzoliDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Alessio CortelliniDivision of Cancer, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London, UK.ORCID 0000-0002-1209-5735
Francesca RossiDepartment of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.
Rebecca ChiariottiDepartment of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.
Francesco Maria VenanziDepartment of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.
Giuseppe Lo RussoDepartment of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Giulia GalliDepartment of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Claudia ProtoDepartment of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Monica GanzinelliDepartment of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Francesca TronconiDepartment of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.
Francesca MorgeseDepartment of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.
Carla CampolucciSOD Medicina di Laboratorio, Azienda Ospedaliera Universitaria delle Marche, Ancona, Italy.
Marco MorettiSOD Medicina di Laboratorio, Azienda Ospedaliera Universitaria delle Marche, Ancona, Italy.
Arianna VigniniDepartment of Clinical Sciences, Università Politecnica delle Marche, Ancona, Italy.
Marcello TiseoDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Roberta MinariDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Marco Luigi Bruno RocchiBiomolecular Sciences Department, University of Urbino, Urbino, Italy.
Sebastiano ButiDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Rossana BerardiDepartment of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.ORCID 0000-0002-9529-2960
Marche Polytechnic University · ITUniversity of Parma · ITFondazione IRCCS Istituto Nazionale dei Tumori · ITHammersmith Hospital · GBUniversity of Urbino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpecific components of lipid profile seem to differently impact on immune activity against cancer and unraveling their prognostic role in patients with solid cancer treated with immune checkpoint inhibitors (ICIs) is needed. MATERIALS AND

methodsWe retrospectively collected baseline clinicopathological characteristics including circulating lipid profile (total cholesterol [TC], triglycerides [TG], low-density lipoproteins [LDL], high-density lipoproteins [HDL]) of patients with consecutive solid cancer treated with ICIs, and we investigated their role in predicting clinical outcomes.

resultsAt a median follow-up of 32.9 months, among 430 enrolled patients, those with TC ≥ 200 mg/dl showed longer median progression-free survival (mPFS; 6.6 vs. 4.7 months, P = .4), although not reaching statistical significance, and significantly longer median overall survival (mOS; 19.4 vs. 10.8 months, P = .02) compared to those with TC < 200 mg/dl. Conversely, patients with TG ≥150 mg/dl displayed shorter PFS (3.4 vs. 5.1 months, P = .02) and OS (7.1 vs. 12.9 months, P = .009) compared to those with TG <150 mg/dl. TC and TG were then combined in a "LIPID score" identifying three subgroups: good-risk (GR) (TC ≥200 mg/dl and TG <150 mg/dl), intermediate-risk (IR) (TC <200 mg/dl and TG <150 mg/dl or TC ≥200 mg/dl and TG ≥150 mg/dl) and poor-risk (PR) (TC <200 mg/dl and TG ≥150 mg/dl). The mPFS of GR, IR, and PR groups was 7.8, 4.3, and 2.5 months, respectively (P = .005); mOS of GR, IR, and PR was 20.4, 12.4, and 5.3 months, respectively (P < .001). At multivariable analysis, the PR profile represented an independent poor prognostic factor for both PFS and OS.

conclusionsWe developed a lipid score that defined subgroups of patients with cancer who differently benefit from ICIs. Further mechanistic insights are warranted to clarify the prognostic and predictive role of lipid profile components in patients treated with ICIs.

Indexed as

Immune Checkpoint InhibitorsNeoplasmsHumansLipidsPrognosisRetrospective StudiesTriglyceridesImmune Checkpoint InhibitorsLipidsTriglyceridesimmune checkpoint inhibitorslipid metabolismlipid profiletriglycerides-high-density lipoproteins ratio

Identifiers

PMID37796838
PMCPMC10911919
OpenAlexW4387378881

What OpenQuestion holds

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LicenceCC BY
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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.