Evidence map›Paper›PMID 34359727›Full record

ArticleCancers2021

Biomarkers and Gene Signatures to Predict Durable Response to Pembrolizumab in Non-Small Cell Lung Cancer.

Anello Marcello Poma, Rossella Bruno, Iacopo Pietrini, Greta Alì, Giulia Pasquini, Agnese Proietti, Enrico Vasile, Sabrina Cappelli, Antonio Chella, Gabriella Fontanini

Abstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  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

10 authors.

Anello Marcello PomaDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, via Savi 10, 56126 Pisa, Italy.
Rossella BrunoUnit of Pathological Anatomy, University Hospital of Pisa, via Roma 67, 56126 Pisa, Italy.
Iacopo PietriniGeneral Pathology, University of Pisa, via Savi 10, 56126 Pisa, Italy.
Greta AlìUnit of Pathological Anatomy, University Hospital of Pisa, via Roma 67, 56126 Pisa, Italy.
Giulia PasquiniUnit of Medical Oncology, San Jacopo Hospital of Pistoia, 51100 Pistoia, Italy.
Agnese ProiettiUnit of Pathological Anatomy, University Hospital of Pisa, via Roma 67, 56126 Pisa, Italy.
Enrico VasileUnit of Pneumology, University Hospital of Pisa, via Paradisa 2, 56126 Pisa, Italy.
Sabrina CappelliUnit of Pneumology, University Hospital of Pisa, via Paradisa 2, 56126 Pisa, Italy.
Antonio ChellaUnit of Pneumology, University Hospital of Pisa, via Paradisa 2, 56126 Pisa, Italy.
Gabriella FontaniniDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, via Savi 10, 56126 Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pembrolizumab has been approved as first-line treatment for advanced Non-small cell lung cancer (NSCLC) patients with tumors expressing PD-L1 and in the absence of other targetable alterations. However, not all patients that meet these criteria have a durable benefit. In this monocentric study, we aimed at refining the selection of patients based on the expression of immune genes. Forty-six consecutive advanced NSCLC patients treated with pembrolizumab in first-line setting were enrolled. The expression levels of 770 genes involved in the regulation of the immune system was analysed by the nanoString system. PD-L1 expression was evaluated by immunohistochemistry. Patients with durable clinical benefit had a greater infiltration of cytotoxic cells, exhausted CD8, B-cells, CD45, T-cells, CD8 T-cells and NK cells. Immune cell scores such as CD8 T-cell and NK cell were good predictors of durable response with an AUC of 0.82. Among the immune cell markers,

Indexed as

CD8ACD8BEOMESgene expressionimmunotherapylung cancerPD-L1pembrolizumabpredictive biomarkerstumor microenvironmentXCL1XCL2

Identifiers

PMID34359727
PMCPMC8345106

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.