Evidence map›Paper›PMID 34336422›Full record

ArticleCureus2021

Successful Use of Immunotherapy in a Patient with Metastatic Squamous Cell Lung Cancer and Underlying Autoimmune Disease.

Lusine Zakharian, Lauren Lee

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Immune Checkpoint Inhibitors and Lupus Erythematosus.Pharmaceuticals (Basel, Switzerland) · 2024
    Review
  2. Exclusion of Patients with Autoimmune Disease in Lung Cancer Clinical Trials.Asian Pacific journal of cancer prevention : APJCP · 2023
    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

2 authors at 1 institution in 1 country.

Lusine ZakharianInternal Medicine, Brooke Army Medical Center, Fort Sam Houston, USA.
Lauren LeeHematology and Oncology, Brooke Army Medical Center, Fort Sam Houston, USA.
San Antonio Military Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immune system removes abnormal and cancerous cells by way of T-cell detection at immune checkpoints. Cancerous cells, due to their expression of proteins such as T-cell inactivating programmed death-ligand 1 (PD-L1), may evade the immune system resulting in replication and ultimately metastases. Immunotherapy in the form of checkpoint blockade, such as anti-programmed cell death 1 (PD-1) monoclonal antibody pembrolizumab, targets and interferes with this interaction, thereby restoring T-cell ability to remove cancer cells. Immunotherapy has revolutionized cancer treatment and has improved survival in several malignancies. However, the presence of autoimmune disease is an exclusion criterion for most immunotherapy trials due to fear of potentially life-threatening immune system activation. Therefore, its safety and efficacy in patients with autoimmune disease are not well studied. We describe the successful use of pembrolizumab in a patient with systemic lupus erythematosus (SLE) and review available literature, demonstrating that there is a subset of patients with underlying autoimmune disease who can safely be treated with immunotherapy. Furthermore, that administration of traditional cytotoxic chemotherapy prior to immunotherapy may lead to autoimmune disease control by eliminating autoantibodies.

Indexed as

adverseautoimmunecancercheck-pointimmuneimmunotherapylunglupusmetastaticpembrolizumab

Identifiers

PMID34336422
PMCPMC8310659
OpenAlexW3176442672

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.