Evidence map›Paper›PMID 30233791›Full record

ReviewMolecular and clinical oncology2018

The role of automated cytometry in the new era of cancer immunotherapy.

Marco Danova, Martina Torchio, Giuditta Comolli, Andrea Sbrana, Andrea Antonuzzo, Giuliano Mazzini

Open access · diamondAbstract readReview
In one paragraph

Review in Molecular and clinical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Full spectrum flow cytometry and mass cytometry: A 32-marker panel comparison.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2022
    Article
  4. Review
  5. Review
  6. A Chemical Biology Approach to the Chaperome in Cancer-HSP90 and Beyond.Cold Spring Harbor perspectives in biology · 2020
    Review
  7. Review
  8. Review
  9. Article
  10. Article
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

6 authors at 3 institutions in 1 country.

Marco DanovaDepartment of Internal Medicine and Medical Oncology, Vigevano Civic Hospital, ASST of Pavia, I-27029 Vigevano, Italy.
Martina TorchioDepartment of Internal Medicine and Medical Oncology, Vigevano Civic Hospital, ASST of Pavia, I-27029 Vigevano, Italy.
Giuditta ComolliDepartment of Microbiology and Virology and Biotechnology Laboratories, IRCCS San Matteo Foundation, I-27100 Pavia, Italy.
Andrea SbranaDepartment of Medical Oncology 2, University Hospital of Pisa, I-56126 Pisa, Italy.
Andrea AntonuzzoDepartment of Medical Oncology 2, University Hospital of Pisa, I-56126 Pisa, Italy.
Giuliano MazziniInstitute of Molecular Genetics IGM-CNR, I-27100 Pavia, Italy.
Azienda Ospedaliera Universitaria Pisana · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITIstituto di Genetica Molecolare · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The introduction in the clinical practice of several new approaches to cancer immunotherapy has greatly increased the interest in analytical methodologies that can define the immunological profile of patients in the clinical setting. This requires huge effort to obtain reliable monitoring tools that could be used to improve the patient's clinical outcome. The clinical applications of flow cytometry (FCM) in oncology started with the measurement of DNA content for the evaluation of both ploidy and cell cycle profile as potential prognostic parameters in the majority of human solid cancer types. The availability of monoclonal antibodies widely broadened the spectrum of clinical applications of this technique, which rapidly became a fundamental tool for the diagnosis and prognosis of malignant hematological diseases. Among the emerging clinical applications of FCM, the study of minimal residual disease in hematological malignancies, the quantification of blood dendritic cells in various types of tumors, the study of metastatic spread in solid tumors throughout both the analysis of circulating endothelial progenitor cells and the identification and characterization of circulating tumor cells, all appear very promising. More recently, an advanced single cell analysis technique has been developed that combines the precision of mass spectrometry with the unique advantages of FCM. This approach, termed mass cytometry, utilizes antibodies conjugated to heavy metal ions for the analysis of cellular proteins by a mass spectrometer. It provides measurement of over 100 simultaneous cellular parameters in a single sample and has evolved from a promising technology to a high recognized platform for multi-dimensional single-cell analysis. Should a careful standardization of the analytical procedures be reached, both FCM and mass cytometry could effectively become ideal tools for the optimization of new immunotherapeutic approaches in cancer patients.

Indexed as

cancer immunotherapyclinical oncologyflow cytometrymass cytometry

Identifiers

PMID30233791
PMCPMC6142305
OpenAlexW2888037169

What OpenQuestion holds

Textmetadata
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.