Evidence map›Paper›PMID 40922740›Full record

ReviewAdvanced pharmaceutical bulletin2025

Lung Cancer Immunotherapy Approaches: From Clinical Testing to Future Advances.

Mayuri Bhattacharyya, Suktilang Majaw

Abstract readReview
In one paragraph

Review in Advanced pharmaceutical bulletin, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mayuri BhattacharyyaDepartment of Biotechnology and Bioinformatics, North-Eastern Hill University, Shillong, India 793022.ORCID https://orcid.org/0000-0002-5738-3095
Suktilang MajawDepartment of Biotechnology and Bioinformatics, North-Eastern Hill University, Shillong, India 793022.ORCID https://orcid.org/0000-0002-3594-893X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the major reason of deaths due to cancer globally is caused by lung cancer of which the two main types include non-small cell and small cell lung cancer. The onset of treatment-resistance in cancer cells offers a serious obstacle to the therapeutic effect despite that primary conventional treatments have provided significant benefits and cures. Cancer immunotherapy offers a compelling alternative in patients by utilizing their immune system to enhance its ability to fight against tumors. Cancer immunotherapy includes treatment with cytokines, hormones, bacterial products, monoclonal antibodies, vaccines, etc. Many of these immunotherapies are clinically tested in lung cancer patients. Tumor-associated antigens specific for lung cancer are being targeted using monoclonal antibodies and vaccines. Genetically engineered T-cells that are cultured outside the body are reinfused into the patients. In this review, we describe the different immunotherapeutic approaches that have been clinically tested and used to treat lung cancer globally. The data presented are collected from published studies through electronic databases like Google Scholar and Pubmed using keywords like immunotherapy, adoptive cell therapy, cancer, vaccines, lung cancer and immunological checkpoint inhibitors. The clinical trial results were acquired from ClinicalTrials.gov.in, a database of clinical research studies and their result updates. The review examines the current immunotherapies available for lung cancer treatment globally. While these therapies offer significant benefits to the community, several challenges have hindered their widespread adoption. Key issues such as adverse effects, high costs and varying patient responses to lung cancer immunotherapy require careful consideration. The integration of advanced technologies, including artificial intelligence and bioinformatics tools, along with combinatorial strategies and thorough monitoring, has the potential to increase widely use of lung cancer immunotherapy.

Indexed as

Adoptive cell therapyCheckpoint inhibitorsClinical trialImmuneImmunotherapyLung cancerVaccines

Identifiers

PMID40922740
PMCPMC12413958

What OpenQuestion holds

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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.