Evidence map›Paper›PMID 32857178›Full record

ReviewJournal of cancer research and clinical oncology2020

Pseudoprogression and hyperprogression in lung cancer: a comprehensive review of literature.

Laiyan Zhou, Mai Zhang, Rui Li, Jianxin Xue, You Lu

Abstract readReview
In one paragraph

Review in Journal of cancer research and clinical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
–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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Prognostic value ofFrontiers in immunology · 2022
    Pooled it
  4. Predictive value of [European journal of nuclear medicine and molecular imaging · 2025
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  18. Review
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  20. Diagnostic and therapeutic approach to pulmonary infiltrates in cancer patients receiving immune checkpoint inhibitors.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2022
    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

5 authors.

Laiyan ZhouDepartment of Thoracic Cancer, Cancer Center, West China Hospital, West China School of Clinical Medicine, Sichuan University, Chengdu, 610041, China.
Mai ZhangDepartment of Thoracic Cancer, Cancer Center, West China Hospital, West China School of Clinical Medicine, Sichuan University, Chengdu, 610041, China.
Rui LiDepartment of Thoracic Cancer, Cancer Center, West China Hospital, West China School of Clinical Medicine, Sichuan University, Chengdu, 610041, China.
Jianxin XueDepartment of Thoracic Cancer, Cancer Center, West China Hospital, West China School of Clinical Medicine, Sichuan University, Chengdu, 610041, China. radjianxin@163.com.ORCID http://orcid.org/0000-0003-4501-7538
You LuDepartment of Thoracic Cancer, Cancer Center, West China Hospital, West China School of Clinical Medicine, Sichuan University, Chengdu, 610041, China. radyoulu@hotmail.com.

Funding

National Key Research and Development Program of China 2018YFC1311400National Natural Science Foundation of China 81672982
6 · The paper itself

Abstract

purposeImmune checkpoint inhibitors are associated with clinical benefit in lung cancer. However, response patterns to immunotherapy, including pseudoprogression and hyperprogression, are difficult to diagnose, and their mechanisms remain unclear. This review aimed to describe two response patterns observed in lung cancer, namely pseudoprogression and hyperprogression, including their epidemiology, diagnostic characteristics, and plausible mechanisms.

methodsWe performed a comprehensive literature search in the PubMed database, using keywords "pseudoprogression", "hyperprogression", and "lung cancer", among others. The literature was examined for pseudoprogression and hyperprogression characteristics and plausible mechanisms.

resultsPseudoprogression manifests in multiple forms; however, the immune system-related response criteria and biopsy data are helpful to make accurate diagnosis. Serological biomarkers, such as neutrophil-to-lymphocyte ratio (NLR) and circulating tumor DNA (ctDNA), might help distinguish pseudoprogression from true progression. The incidence of hyperprogression ranges within 5-19.2%, depending on definition. The unique response pattern of rapid progression is observed not only with immunotherapy, but also with other treatment regimens. Molecular mutations and amplifications may result in hyperprogression; however, the exact mechanism remains unclear.

conclusionAtypical response patterns, such as pseudoprogression and hyperprogression, are increasingly common in clinical practice. Immune-related response criteria can help diagnose pseudoprogression. Molecular mechanisms of hyperprogression remain unclear. Biomarkers for pseudoprogression and hyperprogression are required.

Indexed as

Disease ProgressionCirculating Tumor DNAHumansImmunologic FactorsLung NeoplasmsLymphocytesNeutrophilsResponse Evaluation Criteria in Solid TumorsCirculating Tumor DNAImmunologic FactorsHyperprogressionImmunotherapyLung cancerPseudoprogression

Identifiers

PMID32857178
PMCPMC11804473

What OpenQuestion 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 OpenQuestion graph.