Evidence map›Paper›PMID 32245227›Full record

ArticleCancers2020

Immune-Complexome Analysis Identifies Immunoglobulin-Bound Biomarkers That Predict the Response to Chemotherapy of Pancreatic Cancer Patients.

Giorgia Mandili, Laura Follia, Giulio Ferrero, Hiroyuki Katayama, Wang Hong, Amin A Momin, Michela Capello, Daniele Giordano, Rosella Spadi, Maria Antonietta Satolli and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Proteomics in pancreatic cancer.Biomarker research · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. 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

14 authors at 2 institutions in 2 countries.

Giorgia MandiliDepartment of Molecular Biotechnology and Health Sciences, University of Turin, 10126 Torino, Italy.
Laura FolliaDepartment of Molecular Biotechnology and Health Sciences, University of Turin, 10126 Torino, Italy.ORCID 0000-0003-1580-0505
Giulio FerreroDepartment of Computer Science, University of Turin, 10149 Torino, Italy.ORCID 0000-0002-4580-0680
Hiroyuki KatayamaMD Anderson Cancer Center, University of Texas, Houston, TX 77030, USA.ORCID 0000-0003-3117-1390
Wang HongMD Anderson Cancer Center, University of Texas, Houston, TX 77030, USA.
Amin A MominMD Anderson Cancer Center, University of Texas, Houston, TX 77030, USA.
Michela CapelloMD Anderson Cancer Center, University of Texas, Houston, TX 77030, USA.
Daniele GiordanoCenter for Experimental Research and Medical Studies (CeRMS), University of Turin, 10126 Torino, Italy.
Rosella SpadiCentro Oncologico Ematologico Subalpino (COES), University of Turin, 10126 Torino, Italy.
Maria Antonietta SatolliCentro Oncologico Ematologico Subalpino (COES), University of Turin, 10126 Torino, Italy.
Andrea EvangelistaCittá della salute e della scienza University Hospital of Turin, University of Turin, 10126 Torino, Italy.
Samir M HanashMD Anderson Cancer Center, University of Texas, Houston, TX 77030, USA.
Francesca CorderoDepartment of Computer Science, University of Turin, 10149 Torino, Italy.
Francesco NovelliDepartment of Molecular Biotechnology and Health Sciences, University of Turin, 10126 Torino, Italy.
University of Turin · ITThe University of Texas MD Anderson Cancer Center · US

Funding

VARIATION AND REGULATION OF ALTERNATIVE SPLICING IN HUMAN TRANSCRIPTOMESR01GM088342 · NIGMS · UNIVERSITY OF IOWA · PI XING, YI · 2010 to 2020
$2.9M
Associazione Italiana per la Ricerca sul Cancro 15257Ministero della Salute RF-2013-02354892NIH HHS R01GM088342
6 · The paper itself

Abstract

Pancreatic Ductal Adenocarcinoma (PDA) is an aggressive malignancy with a very poor outcome. Although chemotherapy (CT) treatment has poor efficacy, it can enhance tumor immunogenicity. Tumor-Associated Antigens (TAA) are self-proteins that are overexpressed in tumors that may induce antibody production and can be PDA theranostic targets. However, the prognostic value of TAA-antibody association as Circulating Immune Complexes (CIC) has not yet been elucidated, mainly due to the lack of techniques that lead to their identification. In this study, we show a novel method to separate IgG, IgM, and IgA CIC from sera to use them as prognostic biomarkers of CT response. The PDA Immune-Complexome (IC) was identified using a LTQ-Orbitrap mass spectrometer followed by computational analysis. The analysis of the IC of 37 PDA patients before and after CT revealed differential associated antigens (DAA) for each immunoglobulin class. Our method identified different PDA-specific CIC in patients that were associated with poor prognosis patients. Finally, CIC levels were significantly modified by CT suggesting that they can be used as effective prognostic biomarkers to follow CT response in PDA patients.

Indexed as

biomarkerschemotherapycomputational analysisimmune complexespancreatic cancerproteomicsTAA

Identifiers

PMID32245227
PMCPMC7140049
OpenAlexW3011779887

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.