Evidence map›Paper›PMID 42565935›Full record

ReviewMolecular diagnosis & therapy2026

Unfolded Protein Response Pathways in Cancer: Mechanisms, Tumor Biology and Therapeutic Opportunities.

Mercilena Benjamin, Surender Kumar Sharawat, Anita Chopra

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular diagnosis & therapy, 2026. 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

3 authors.

Mercilena BenjaminLaboratory Oncology, Dr. B.R. Ambedkar Institute-Rotary Cancer Hospital (BRA-IRCH), All India Institute of Medical Sciences (AIIMS), New Delhi, India.ORCID http://orcid.org/0000-0003-3919-0254
Surender Kumar SharawatDepartment of Medical Oncology, Dr. BRAIRCH, AIIMS, New Delhi, India.ORCID http://orcid.org/0000-0001-6322-0586
Anita ChopraLaboratory Oncology, Dr. B.R. Ambedkar Institute-Rotary Cancer Hospital (BRA-IRCH), All India Institute of Medical Sciences (AIIMS), New Delhi, India. chopraanita2005@gmail.com.ORCID http://orcid.org/0000-0002-0238-8702

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endoplasmic reticulum (ER) is a multifunctional organelle essential for maintaining proteostasis, lipid and carbohydrate metabolism, and calcium homoestasis. Rapidly dividing cancer cells driven by oncogenes, elevated translational output, increased metabolic demands, and a hostile tissue microenvironment overwhelm the protein-folding machinery of ER, leading to massive accumulation of unfolded proteins within the ER's lumen leading to chronic ER stress. This activates the unfolded protein response (UPR), a conserved signaling network mediated by three principal sensors: protein kinase R-like endoplasmic reticulum kinase (PERK), inositol-requiring enzyme 1-alpha (IRE1α), and activating transcription factor 6 (ATF6), which functions to restore proteostasis or induce apoptosis under unresolved ER stress. Accumulating evidence indicates that malignant cells hijack the pro-adaptive function of the UPR pathway not only to thrive but also to promote cancer progression by invasion and metastasis. UPR activation modulates transcriptional and translational programs that contribute to angiogenesis, invasion, metastasis, immune escape, and chemoresistance. In this review, we dissect how cells balance this tightrope between adaptation and cell death in the context of cancer. We also explore how UPR signaling drives angiogenesis, metastasis, immune-evasion, and chemoresistance before finally discussing its therapeutic potential.

Identifiers

What Socratic 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 Socratic graph.