Evidence map›Paper›PMID 35565233›Full record

ReviewCancers2022

Immune-Based Therapy in Triple-Negative Breast Cancer: From Molecular Biology to Clinical Practice.

Francesca Carlino, Anna Diana, Antonio Piccolo, Anna Ventriglia, Vincenzo Bruno, Irene De Santo, Ortensio Letizia, Ferdinando De Vita, Bruno Daniele, Fortunato Ciardiello and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 38 citations in OpenAlex.

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  11. Mismatch repair protein deficiency in triple-negative breast carcinomas.The Journal of international medical research · 2024
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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

11 authors at 1 institution in 1 country.

Francesca CarlinoDepartment of Precision Medicine, Division of Medical Oncology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Anna DianaMedical Oncology Unit, Ospedale del Mare, 80147 Naples, Italy.
Antonio PiccoloDepartment of Precision Medicine, Division of Medical Oncology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Anna VentrigliaDepartment of Precision Medicine, Division of Medical Oncology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.ORCID 0000-0002-5938-9474
Vincenzo BrunoDepartment of Precision Medicine, Division of Medical Oncology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Irene De SantoMedical Oncology Unit, Ospedale Ave Gratia Plena, San Felice a Cancello, 81027 Caserta, Italy.
Ortensio LetiziaMedical Oncology Unit, Ospedale Ave Gratia Plena, San Felice a Cancello, 81027 Caserta, Italy.
Ferdinando De VitaDepartment of Precision Medicine, Division of Medical Oncology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Bruno DanieleMedical Oncology Unit, Ospedale del Mare, 80147 Naples, Italy.
Fortunato CiardielloDepartment of Precision Medicine, Division of Medical Oncology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Michele OrdituraDepartment of Precision Medicine, Division of Medical Oncology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
University of Campania "Luigi Vanvitelli" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) has been considered for many years an orphan disease in terms of therapeutic options, with conventional chemotherapy (CT) still representing the mainstay of treatment in the majority of patients. Although breast cancer (BC) has been historically considered a "cold tumor", exciting progress in the genomic field leading to the characterization of the molecular portrait and the immune profile of TNBC has opened the door to novel therapeutic strategies, including Immune Checkpoint Inhibitors (ICIs), Poly ADP-Ribose Polymerase (PARP) inhibitors and Antibody Drug Conjugates (ADCs). In particular, compared to standard CT, the immune-based approach has been demonstrated to improve progression-free survival (PFS) and overall survival (OS) in metastatic PD-L1-positive TNBC and the pathological complete response rate in the early setting, regardless of PD-L1 expression. To date, PD-L1 has been widely used as a predictor of the response to ICIs; however, many patients do not benefit from the addition of immunotherapy. Therefore, PD-L1 is not a reliable predictive biomarker of the response, and its accuracy remains controversial due to the lack of a consensus about the assay, the antibody, and the scoring system to adopt, as well as the spatial and temporal heterogeneity of the PD-L1 status. In the precision medicine era, there is an urgent need to identify more sensitive biomarkers in the BC immune oncology field other than just PD-L1 expression. Through the characterization of the tumor microenvironment (TME), the analysis of peripheral blood and the evaluation of immune gene signatures, novel potential biomarkers have been explored, such as the Tumor Mutational Burden (TMB), Microsatellite Instability/Mismatch Repair Deficiency (MSI/dMMR) status, genomic and epigenomic alterations and tumor-infiltrating lymphocytes (TILs). This review aims to summarize the recent knowledge on BC immunograms and on the biomarkers proposed to support ICI-based therapy in TNBC, as well as to provide an overview of the potential strategies to enhance the immune response in order to overcome the mechanisms of resistance.

Indexed as

biomarkersimmune checkpoints inhibitorsimmunotherapyresistancetreatmenttriple-negative breast cancer

Identifiers

PMID35565233
PMCPMC9103968
OpenAlexW4280544068

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.