Evidence map›Paper›PMID 32202020›Full record

ArticleThe oncologist2020

The MIMIC Study: Prognostic Role and Cutoff Definition of Monocyte-to-Lymphocyte Ratio and Lactate Dehydrogenase Levels in Metastatic Colorectal Cancer.

Debora Basile, Silvio Ken Garattini, Carla Corvaja, Marcella Montico, Francesco Cortiula, Giacomo Pelizzari, Lorenzo Gerratana, Marco Audisio, Camilla Lisanti, Valentina Fanotto and 10 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in The oncologist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 14% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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  16. Correlation of Glucose Metabolism with Cancer and Intervention with Traditional Chinese Medicine.Evidence-based complementary and alternative medicine : eCAM · 2022
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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

20 authors at 6 institutions in 1 country.

Debora BasileDepartment of Medicine, University of Udine, Udine, Italy.
Silvio Ken GarattiniDepartment of Medicine, University of Udine, Udine, Italy.
Carla CorvajaDepartment of Medicine, University of Udine, Udine, Italy.
Marcella MonticoScientific Directorate, Centro di Riferimento Oncologico di Aviano, IRCCS, Aviano, Italy.
Francesco CortiulaDepartment of Medicine, University of Udine, Udine, Italy.
Giacomo PelizzariDepartment of Medicine, University of Udine, Udine, Italy.
Lorenzo GerratanaDepartment of Medicine, University of Udine, Udine, Italy.
Marco AudisioDepartment of Oncology, University of Turin at Umberto I "Ordine Mauriziano" Hospital, Turin, Italy.
Camilla LisantiDepartment of Medicine, University of Udine, Udine, Italy.
Valentina FanottoDepartment of Medicine, University of Udine, Udine, Italy.
Elena OngaroDepartment of Medical Oncology, Unit of Medical Oncology and Cancer Prevention, Centro di Riferimento Oncologico di Aviano, IRCCS, Aviano, Italy.
Donatella IaconoDepartment of Oncology, ASUIUD University Hospital of Udine, Udine, Italy.
Giovanni Gerardo CardellinoDepartment of Oncology, ASUIUD University Hospital of Udine, Udine, Italy.
Luisa FoltranDepartment of Medical Oncology, Unit of Medical Oncology and Cancer Prevention, Centro di Riferimento Oncologico di Aviano, IRCCS, Aviano, Italy.
Nicoletta PellaDepartment of Oncology, ASUIUD University Hospital of Udine, Udine, Italy.
Angela BuonadonnaDepartment of Medical Oncology, Unit of Medical Oncology and Cancer Prevention, Centro di Riferimento Oncologico di Aviano, IRCCS, Aviano, Italy.
Giuseppe AprileDepartment of Oncology, San Bortolo General Hospital, Vicenza, Italy.
Massimo Di MaioDepartment of Oncology, University of Turin at Umberto I "Ordine Mauriziano" Hospital, Turin, Italy.
Gianpiero FasolaDepartment of Oncology, ASUIUD University Hospital of Udine, Udine, Italy.
Fabio PuglisiDepartment of Medicine, University of Udine, Udine, Italy.
Istituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of Udine · ITA. O. Ordine Mauriziano di Torino · ITCentro di Riferimento Oncologico · ITOspedale San Bortolo · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMonocyte-to-lymphocyte ratio (MLR) and lactate dehydrogenase (LDH) levels are circulating biomarkers that provide information about tumor-related inflammation and immune suppression. This study aimed to evaluate the prognostic role of MLR and LDH in metastatic colorectal cancer (mCRC). MATERIAL AND

methodsThis multicentric study analyzed a consecutive cohort of 528 patients with mCRC treated in 2009-2017. The whole population was randomly divided in training and validation cohort. The first was used to identify a threshold for MLR and to create the prognostic model with MLR and MLR-LDH combined (group 1: MLR-LDH low; group 2: MLR or LDH high; group 3: MLR-LDH high). The second cohort was used to validate the model.

resultsAt the median follow-up of 55 months, median overall survival (OS) was 22 months. By multivariate analysis, high MLR >0.49 (hazard ratio [HR], 2.37; 95% confidence interval [C.I.], 1.39-4.04), high LDH (HR, 1.73; 95% C.I., 1.03-2.90) in the first model, group 2 (HR, 2.74; 95% C.I.; 1.62-4.66), and group 3 (HR, 3.73; 95% C.I., 1.94-7.18) in the combined model, had a worse prognosis in terms of OS. These data were confirmed both in the validation set and then in the whole cohort.

conclusionMLR and LDH are circulating cost-effective biomarkers, readily available in clinical practice, that can be useful for predicting the prognosis of patients with mCRC. IMPLICATIONS FOR PRACTICE: High monocyte-to-lymphocyte ratio (MLR) and lactate dehydrogenase (LDH) levels could be a sign of a tumor's recruitment of suppressive and inflammatory cells worsening prognosis of different types of cancer, including colorectal cancer (CRC). Currently, no data are available for metastatic CRC regarding a cutoff definition for MLR or the prognostic impact of MLR and MLR-LDH combined. The present study showed in the training cohort and confirmed in the validation and whole cohort that MLR is a reliable and independent laboratory biomarker, which is easy to use, to predict clinical outcomes in patients with mCRC. Moreover, MLR and composite MLR-LDH could potentially result in an incremental improvement in the prognostic value of these biomarkers, being used as stratification tools for patients with mCRC.

Indexed as

Colonic NeoplasmsColorectal NeoplasmsHumansLactate DehydrogenasesLymphocytesMonocytesNeutrophilsPrognosisRetrospective StudiesLactate DehydrogenasesCirculating biomarkersImmune biomarkersLDHMetastatic colorectal cancerMLR

Identifiers

PMID32202020
PMCPMC7418342
OpenAlexW3012718528

What OpenQuestion holds

Textmetadata
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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.