Evidence map›Paper›PMID 36230808›Full record

ReviewCancers2022

Multiplexed In Situ Spatial Protein Profiling in the Pursuit of Precision Immuno-Oncology for Patients with Breast Cancer.

Davide Massa, Anna Tosi, Antonio Rosato, Valentina Guarneri, Maria Vittoria Dieci

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. TheCurrent issues in molecular biology · 2025
    Article
  3. Highlighting recent achievements to advance more effective cancer immunotherapy.Journal of experimental & clinical cancer research : CR · 2025
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
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

5 authors at 2 institutions in 1 country.

Davide MassaDepartment of Surgery, Oncology and Gastroenterology, University of Padova, 35128 Padova, Italy.ORCID 0000-0002-1390-4055
Anna TosiImmunology and Molecular Oncology Diagnostics, Istituto Oncologico Veneto IRCCS, 35128 Padova, Italy.
Antonio RosatoDepartment of Surgery, Oncology and Gastroenterology, University of Padova, 35128 Padova, Italy.ORCID 0000-0002-5263-8386
Valentina GuarneriDepartment of Surgery, Oncology and Gastroenterology, University of Padova, 35128 Padova, Italy.
Maria Vittoria DieciDepartment of Surgery, Oncology and Gastroenterology, University of Padova, 35128 Padova, Italy.ORCID 0000-0002-3967-9861
University of Padua · ITIstituto Oncologico Veneto · IT

Funding

Fondazione AIRC-IG 2018 2135Fondazione AIRC under 5 per mille 2019 ID.22759Istituto Oncologico Veneto L04P25Ministero della Salute NET-2016-02361632Ministero della Salute RCR-2019-23669115Ministero della Salute Ricerca CorrenteUniversity of Padua DOR
6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) have revolutionized the treatment of many solid tumors. In breast cancer (BC), immunotherapy is currently approved in combination with chemotherapy, albeit only in triple-negative breast cancer. Unfortunately, most patients only derive limited benefit from ICIs, progressing either upfront or after an initial response. Therapeutics must engage with a heterogeneous network of complex stromal-cancer interactions that can fail at imposing cancer immune control in multiple domains, such as in the genomic, epigenomic, transcriptomic, proteomic, and metabolomic domains. To overcome these types of heterogeneous resistance phenotypes, several combinatorial strategies are underway. Still, they can be predicted to be effective only in the subgroups of patients in which those specific resistance mechanisms are effectively in place. As single biomarker predictive performances are necessarily suboptimal at capturing the complexity of this articulate network, precision immune-oncology calls for multi-omics tumor microenvironment profiling in order to identify unique predictive patterns and to proactively tailor combinatorial treatments. Multiplexed single-cell spatially resolved tissue analysis, through precise epitope colocalization, allows one to infer cellular functional states in view of their spatial organization. In this review, we discuss-through the lens of the cancer-immunity cycle-selected, established, and emerging markers that may be evaluated in multiplexed spatial protein panels to help identify prognostic and predictive patterns in BC.

Indexed as

breast cancercancer-immunity cyclemultiplexspatial biologyspatial profilingTILs

Identifiers

PMID36230808
PMCPMC9562913
OpenAlexW4303621840

What Socratic 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 Socratic graph.