Evidence mapPaperPMID 40015744Full record

ReviewBiomarkers in medicine2025

Comprehensive biomarker profiles in hematological malignancies: improving diagnosis, prognosis, and treatment.

Ali Golestan, Mohammadrasul Zareinejad, Amin Ramezani

Abstract readReview
In one paragraph

Review in Biomarkers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Ali GolestanDepartment of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran.
Mohammadrasul ZareinejadShiraz Institute for Cancer Research, School of Medicine, Shiraz University of Medical Science, Shiraz, Iran.
Amin RamezaniDepartment of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematological malignancies present substantial challenges in clinical practice due to their heterogeneity and complex biological profiles. In these diseases, biomarkers - measurable indicators of biological states - are indispensable for diagnosis, prognosis, and therapeutic decision-making. Emerging biomarkers are significantly improving outcomes in hematological cancers by enhancing early detection, refining prognostic assessments, enabling personalized treatment approaches, and optimizing overall patient management. This progress translates into better clinical outcomes and more effective strategies to treat and manage malignancies. The field of biomarker discovery has developed from basic morphological and cytogenetic markers to advanced molecular techniques, including polymerase chain reaction (PCR) and next-generation sequencing (NGS), which have significantly enhanced diagnostic accuracy and led to the development of targeted therapies. Additionally, the recent advent of technologies like mass spectrometry and single-cell RNA sequencing enables comprehensive molecular profiling and reveals novel biomarkers that were previously undetectable. Our aim in this manuscript is to provide a comprehensive overview of recent and novel immunohematological biomarkers, their diagnostic and therapeutic applications, and the future directions of this field.

Indexed as

Biomarkers, TumorHematologic NeoplasmsHigh-Throughput Nucleotide SequencingHumansPrognosisBiomarkers, Tumorartificial intelligence (AI)biomarkersdiagnostic panelsHematological malignanciesimmunotherapynext-generation sequencing (NGS)precision medicineprognostic markerssingle-cell sequencingtherapeutic targets

Identifiers

PMID40015744
PMCPMC11916375

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.