Evidence map›Paper›PMID 40563651›Full record

ReviewCancers2025

Blood-Based Biomarkers as Predictive and Prognostic Factors in Immunotherapy-Treated Patients with Solid Tumors-Currents and Perspectives.

Franciszek Kaczmarek, Anna Marcinkowska-Gapińska, Joanna Bartkowiak-Wieczorek, Michał Nowak, Michał Kmiecik, Kinga Brzezińska, Mariusz Dotka, Paweł Brosz, Wojciech Firlej, Paulina Wojtyła-Buciora

Abstract readReview
In one paragraph

Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. CirculatingCancers · 2026
    Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Lactylation and antitumor immunity.Frontiers in immunology · 2025
    Review
  13. 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

10 authors.

Franciszek KaczmarekStudent Scientific Society, Poznan University of Medical Sciences, 61-701 Poznan, Poland.ORCID 0009-0000-0301-9901
Anna Marcinkowska-GapińskaDepartment of Biophysics, Poznan University of Medical Sciences, 61-701 Poznan, Poland.ORCID 0000-0002-9180-2644
Joanna Bartkowiak-WieczorekPhysiology Department, Poznan University of Medical Sciences, 61-701 Poznan, Poland.ORCID 0000-0002-8347-0512
Michał NowakStudent Scientific Society, Poznan University of Medical Sciences, 61-701 Poznan, Poland.ORCID 0000-0002-0087-4387
Michał KmiecikStudent Scientific Society, Poznan University of Medical Sciences, 61-701 Poznan, Poland.ORCID 0000-0001-9682-0545
Kinga BrzezińskaUniversity Clinical Hospital of Poznan, Poznan University of Medical Sciences, 61-701 Poznan, Poland.
Mariusz DotkaUniversity Clinical Hospital of Poznan, Poznan University of Medical Sciences, 61-701 Poznan, Poland.
Paweł BroszFaculty of Medical Sciences in Zabrze, Medical University of Silesia, 41-808 Zabrze, Poland.
Wojciech FirlejStudent Scientific Society, Poznan University of Medical Sciences, 61-701 Poznan, Poland.ORCID 0009-0002-0813-2617
Paulina Wojtyła-BucioraPhysiology Department, Poznan University of Medical Sciences, 61-701 Poznan, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy has revolutionized cancer treatment; however, the availability of cost-effective blood-based biomarkers for prognostic and predictive factors of immune treatment in patients with solid tumors remains limited. Due to low cost and easy accessibility, blood-based biomarkers should constitute an essential component of studies to optimize and monitor immunotherapy. Currently available markers that can be measured in peripheral blood include total monocyte count, myeloid-derived suppressor cells (MDSCs), regulatory T cells (Tregs), relative eosinophil count, cytokine levels (such as IL-6, IL-8, and IL-10), lactate dehydrogenase (LDH), C-reactive protein (CRP), soluble forms of CTLA-4 and PD-1 or PD-L1, as well as circulating tumor DNA (ctDNA). In our mini-review, we discuss the latest evidence indicating that routinely accessible peripheral blood parameters-such as the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), and rheological parameters, which so far have been rarely considered for such an application, may be used as non-invasive biomarkers in cancer immunotherapy. Rheological parameters such as whole blood viscosity are influenced by several factors, such as hematocrit, aggregability and deformability of erythrocytes, and plasma viscosity, which is largely dependent on plasma proteins. Especially in cases where the set of symptoms indicates a high probability of hyperviscosity syndrome, blood rheological tests can lead to early diagnosis and treatment. Both biochemical and rheological parameters are prone to become novel and future standards for assessing immunotherapy among patients with solid tumors.

Indexed as

biomarkerscancerCARimmunotherapyrheologyTCR

Identifiers

PMID40563651
PMCPMC12190272

What OpenQuestion holds

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Registered trials

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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.