Evidence map›Paper›PMID 41807863›Full record

ArticleBulletin of experimental biology and medicine2025

T Cell Exhaustion: Phenomenon, Diagnostic and Prognostic Significance, Age-Related Features, and Correction in Lung Cancer.

E G Skurikhin, M A Zhukova, E S Pan, N N Ermakova, I L Zharkikh, A M Dygai

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Article in Bulletin of experimental biology and medicine, 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
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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

6 authors.

E G SkurikhinInstitute of General Pathology and Pathophysiology, Moscow, Russia.
M A ZhukovaInstitute of General Pathology and Pathophysiology, Moscow, Russia. mashazyk@gmail.com.
E S PanInstitute of General Pathology and Pathophysiology, Moscow, Russia.
N N ErmakovaInstitute of General Pathology and Pathophysiology, Moscow, Russia.
I L ZharkikhInstitute of General Pathology and Pathophysiology, Moscow, Russia.
A M DygaiInstitute of General Pathology and Pathophysiology, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exhaustion of cytotoxic T cells was investigated in C57Bl/6 mice with modeled lung cancer. Differences in the formation of T cell exhaustion in orthotopic and metastatic lung cancer were identified. Regardless of the model, cancer stem cells (CSCs) contributed to the formation of hyporeactive T-cell phenotypes with low antitumor activity and survival in the context of tumor progression. A pilot study confirmed the role of CSCs and T cell exhaustion in tumor progression and metastatic disease in patients with small-cell lung carcinoma (SCLC). It is proposed to consider CSCs and exhausted T cells are proposed as predictors of progression and poor prognosis of SCLC. A novel approach to combat effector T cell exhaustion based on the regulation of PD-1/PD-L1 and MAPK/ERK signaling pathways was developed and tested in preclinical studies. The reprogramming efficiency has been demonstrated for both mouse and human T cells. A dedicated section of this work addresses the influence of aging on the effector T cell exhaustion and the choice of therapy for lung cancer under these conditions. Understanding and implementing these achievements will improve the treatment outcome and the quality of life for lung cancer patients from different age groups.

Indexed as

Lung NeoplasmsSmall Cell Lung CarcinomaT-Lymphocytes, CytotoxicAge FactorsAnimalsB7-H1 AntigenHumansMaleMiceMice, Inbred C57BLNeoplastic Stem CellsPrognosisProgrammed Cell Death 1 ReceptorT-Cell ExhaustionB7-H1 AntigenProgrammed Cell Death 1 Receptorage featurescancer stem celllung cancerreprogrammingT cell exhaustion

Identifiers

What Socratic holds

Textmetadata
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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 Socratic graph.