Evidence map›Paper›PMID 36092481›Full record

ArticleClinical & translational immunology2022

Detailed bladder cancer immunoprofiling reveals new clues for immunotherapeutic strategies.

Nicole Viveiros, Bianca Ct Flores, João Lobo, Cláudia Martins-Lima, Mariana Cantante, Paula Lopes, Cecilia Deantonio, Cintia Palu, Richard Ca Sainson, Rui Henrique and 1 more

Open access · goldAbstract read
In one paragraph

Article in Clinical & translational immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.4field-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

14 citing papers in PubMed, 22 citations in OpenAlex.

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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 4 institutions in 3 countries.

Nicole ViveirosCancer Biology and Epigenetics Group Research Center of IPO Porto (CI-IPOP)/RISE@CI-IPOP (Health Research Network) Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center (Porto.CCC) Porto Portugal.ORCID https://orcid.org/0000-0002-2998-8206
Bianca Ct FloresCancer Biology and Epigenetics Group Research Center of IPO Porto (CI-IPOP)/RISE@CI-IPOP (Health Research Network) Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center (Porto.CCC) Porto Portugal.ORCID https://orcid.org/0000-0002-6490-6309
João LoboCancer Biology and Epigenetics Group Research Center of IPO Porto (CI-IPOP)/RISE@CI-IPOP (Health Research Network) Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center (Porto.CCC) Porto Portugal.ORCID https://orcid.org/0000-0001-6829-1391
Cláudia Martins-LimaCancer Biology and Epigenetics Group Research Center of IPO Porto (CI-IPOP)/RISE@CI-IPOP (Health Research Network) Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center (Porto.CCC) Porto Portugal.
Mariana CantanteCancer Biology and Epigenetics Group Research Center of IPO Porto (CI-IPOP)/RISE@CI-IPOP (Health Research Network) Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center (Porto.CCC) Porto Portugal.
Paula LopesCancer Biology and Epigenetics Group Research Center of IPO Porto (CI-IPOP)/RISE@CI-IPOP (Health Research Network) Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center (Porto.CCC) Porto Portugal.
Cecilia DeantonioKymab, a Sanofi Company Cambridge UK.
Cintia PaluKymab, a Sanofi Company Cambridge UK.ORCID https://orcid.org/0000-0001-5995-5950
Richard Ca SainsonKymab, a Sanofi Company Cambridge UK.ORCID https://orcid.org/0000-0001-5407-9787
Rui HenriqueCancer Biology and Epigenetics Group Research Center of IPO Porto (CI-IPOP)/RISE@CI-IPOP (Health Research Network) Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center (Porto.CCC) Porto Portugal.ORCID https://orcid.org/0000-0003-3171-4666
Carmen JerónimoCancer Biology and Epigenetics Group Research Center of IPO Porto (CI-IPOP)/RISE@CI-IPOP (Health Research Network) Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center (Porto.CCC) Porto Portugal.ORCID https://orcid.org/0000-0003-4186-5345
Instituto Português de Oncologia Francisco Gentil · PTKymab (United Kingdom) · GBUniversidade do Porto · PTUniversity of Campania "Luigi Vanvitelli" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Bladder cancer (BlCa) is the tenth most frequent malignancy worldwide and the costliest to treat and monitor. Muscle-invasive BlCa (MIBC) has a dismal prognosis, entailing the need for alternative therapies for the standard radical cystectomy. Checkpoint blockade immunotherapy has been approved for high-grade non-muscle-invasive BlCa (HG NMIBC) and metastatic disease, but its effectiveness in localised MIBC remains under scrutiny. Herein, we sought to characterise and compare the immune infiltrate of HG NMIBC and MIBC samples, including ICOS expression, a targetable immune checkpoint associated with regulatory T cell(T Methods: Immunohistochemistry for CD83, CD20, CD68, CD163, CD3, CD8, CD4, FoxP3/ICOS and PD-L1 was performed in HG NMIBC and MIBC samples ( Results: CD20 Conclusions: Immune infiltrates of HG NMIBC and MIBC display significant differences that may help selecting patients for immunotherapies. Considering ICOS immunoexpression results, it might constitute a relevant therapeutic target, eventually in combination with anti-PD-1/PD-L1 therapies, for certain BlCa patient subsets.

Indexed as

bladder cancerdigital pathologyICOSimmune infiltratemuscle‐invasivenon‐muscle invasive

Identifiers

PMID36092481
PMCPMC9440624
OpenAlexW4294405857

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.