Evidence map›Paper›PMID 42528651›Full record

ArticleFrontiers in oncology2026

Inflammatory indexes as prognostic biomarkers in advanced triple negative breast cancer patients.

Caterina Gianni, Emanuela Scarpi, Eva Blondeaux, Michela Palleschi, Filippo Merloni, Lorenzo Gasperoni, Fabio Puglisi, Elena Collovà, Palma Pugliese, Francesco Cognetti and 6 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 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.

Caterina GianniDepartment of Clinical and Experimental Oncology and Hematology, Medical Oncology and Breast Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori,", Meldola, Italy.
Emanuela ScarpiUnit of Biostatistics and Clinical Trials, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori,", Meldola, Italy.
Eva BlondeauxU.O. Epidemiologia Clinica, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Azienda Ospedaliera Metropolitana, Genova, Italy.
Michela PalleschiDepartment of Clinical and Experimental Oncology and Hematology, Medical Oncology and Breast Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori,", Meldola, Italy.
Filippo MerloniDepartment of Clinical and Experimental Oncology and Hematology, Medical Oncology and Breast Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori,", Meldola, Italy.
Lorenzo GasperoniPharmaceutical Department, Unità Sanitaria Locale (USL) Toscana Centro, Prato, Italy.
Fabio PuglisiDepartment of Medicine (DMED), University of Udine, Udine, Italy.
Elena CollovàOncology Unit, Cancer Center Department, Azienda Socio Sanitaria Territoriale (ASST) Ovest Milanese, Legnano, Italy.
Palma PuglieseUnit of Oncology, Department of Medical, Azienda Socio Sanitaria Territoriale (ASST) Lariana, Como, Italy.
Francesco CognettiDepartment of Medical Oncology, Unicamillus International University, Rome, Italy.
Irene GiannubiloOncologia Medica, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Azienda Ospedaliera Metropolitana, Genova, Italy.
Tommaso RuelleOncologia Medica, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Azienda Ospedaliera Metropolitana, Genova, Italy.
Lucia Del MastroOncologia Medica, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Azienda Ospedaliera Metropolitana, Genova, Italy.
Claudia BighinOncologia Medica, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Azienda Ospedaliera Metropolitana, Genova, Italy.
Antonino MusolinoDepartment of Clinical and Experimental Oncology and Hematology, Medical Oncology and Breast Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori,", Meldola, Italy.
Ugo De GiorgiDepartment of Experimental Medicine, University of Salento, Lecce, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The immune system is known to be involved in the microenvironment of triple negative breast cancer (TNBC). Immune ratios such as the neutrophil-to-lymphocyte ratio (NLR), the platelet-to-lymphocyte ratio (PLR), the monocyte-to-lymphocyte ratio (MLR), and the systemic immune-inflammation index (SII) may reflect the functional status of the immune system in these patients and the involvement of circulating immune cells in cancer progression. Methods: We conducted a retrospective-prospective, observational multicenter analysis to investigate the association between inflammatory indexes (NLR, PLR, MLR, and SII), clinical characteristics and survival outcomes in patients with metastatic TNBC in the first-line setting. Results: Data from 114 consecutive patients with a diagnosis of metastatic TNBC were evaluated. At a median follow-up of 28 months, median PFS in the overall patient population was 8.6 months (95% CI 6.5-9.6), while median OS was 17.7 months (95% CI 13.7-23.9). All high inflammation-based scores evaluated at the diagnosis of metastatic disease were significantly associated with lower PFS, particularly high NLR (≥3), high MLR (≥0.34), high PLR (≥210), and high SII (≥836) (p <0.0001, p <0.0001, p = 0.0002, p <0.0001, respectively). Similarly, all indexes appeared to be significantly associated with lower OS, particularly NLR (≥3), SII (≥836), PLR (≥210), and MLR (≥0.34) (p <0.0001, p = 0.001, p = 0.002, and p = 0.0006, respectively). In multivariable analysis for predictors of OS, the number of metastatic sites, NLR, SII, and MLR remained significant. Conclusions: NLR, PLR, SII, and MLR are associated with PFS and OS in metastatic TNBC. Although our results require validation in larger prospective studies and contemporary cohorts treated with chemoimmunotherapy and novel agents, inflammatory ratios may represent feasible prognostic biomarkers in metastatic TNBC.

Indexed as

biomarkersmonocyte-to-lymphocyte rationeutrophil-to-lymphocyte ratioprognostictriple negative breast cancer

Identifiers

PMID42528651
PMCPMC13414733

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