Evidence map›Paper›PMID 39883235›Full record

ReviewMedical oncology (Northwood, London, England)2025

A comprehensive insights of cancer immunotherapy resistance.

Laavanya Das, Subhadip Das

Abstract readReview
PubMed Publisher
In one paragraph

Review in Medical oncology (Northwood, London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. The clinical ionizable lipid SM-102 enhances photochemical immunogenic cell death by verteporfin-conjugated liposomes and improves survival in vivo.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2026
    Article
  2. Article
  3. Oncology research · 2026
    Review
  4. Review
  5. Review
  6. Review
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.

Laavanya DasDepartment of Food and Nutrition, Brainware University, 398, Ramkrishnapur Rd, Barasat, Kolkata, West Bengal, 700125, India.
Subhadip DasDepartment of In Vivo Pharmacology, TCG Lifesciences Pvt. Ltd, BN 7, Sector V, Salt Lake City, Kolkata, West Bengal, 700091, India. subhadip_da@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a major global health issue that is usually treated with multiple therapies, such as chemotherapy and targeted therapies like immunotherapy. Immunotherapy is a new and alternative approach to treating various types of cancer that are difficult to treat with other methods. Although immune checkpoint inhibitors have shown promise for long-term efficacy, they have limited effectiveness in common cancer types such as breast, prostate, and lung. Some patients do not respond to immunotherapy, while others develop resistance to the treatment over time, which is classified as primary or acquired resistance. Cancer immunotherapy, specifically immune checkpoint inhibitor-based resistance involves multiple factors such as genes, metabolism, inflammation, and angiogenesis. However, cutting-edge research has identified the mechanisms of immunotherapy resistance and possible solutions. Current research may improve biomarker identification and modify treatment strategies, which will lead to better clinical outcomes. This review provides a comprehensive discussion of the current mechanisms of immunotherapy resistance, related biomarker modulation, and strategies to overcome resistance.

Indexed as

Drug Resistance, NeoplasmImmune Checkpoint InhibitorsImmunotherapyNeoplasmsBiomarkers, TumorHumansBiomarkers, TumorImmune Checkpoint InhibitorsImmune checkpoint inhibitorsImmunotherapyResistanceTumour microenvironment

Identifiers

What OpenQuestion holds

Textmetadata
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.