Evidence map›Paper›PMID 41896371›Full record

ReviewDiscover oncology2026

Prognostic significance of serum iron panel in breast carcinoma: correlation with histopathological grading and molecular immunophenotypes.

Ashish P Anjankar, Archana Dhok, Mohd Basheeruddin, Sana Qausain, Samarth Shukla, Namrata Choudhary, Rushikesh Pramod Ingole

Abstract readReview
In one paragraph

Review in Discover oncology, 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

7 authors.

Ashish P AnjankarDepartment of Biochemistry, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research (Deemed to be University), Wardha, India. ashish.anjankar@dmiher.edu.in.
Archana DhokDepartment of Biochemistry, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research (Deemed to be University), Wardha, India.
Mohd BasheeruddinDepartment of Biochemistry, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research (Deemed to be University), Wardha, India.
Sana QausainDepartment of Biochemistry, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research (Deemed to be University), Wardha, India.
Samarth ShuklaDepartment of Pathology,Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research (Deemed to be University), Wardha, India.
Namrata ChoudharySchool of Allied Health Sciences, Datta Meghe Institute of Higher Education & Research (Deemed to be University), Wardha, India.
Rushikesh Pramod IngoleDepartment of Biochemistry, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research (Deemed to be University), Wardha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast carcinoma is the most common malignancy in women globally, with prognosis significantly impacted by histopathological grading and molecular immunophenotypes. Iron metabolism dysregulation plays a crucial role in cancer progression, and serum iron panel components have emerged as potential prognostic biomarkers, aiding in disease assessment and management.

objectiveThis review aims to explore the prognostic significance of the serum iron panel in breast carcinoma and its correlation with histopathological grading and molecular immunophenotypes.

methodsA thorough literature review was performed using peer-reviewed articles from PubMed, Scopus, and Web of Science. Studies examining the relationship between serum iron parameters (serum iron, ferritin, transferrin saturation, and total iron-binding capacity) and breast carcinoma subtypes, histopathological grading, and molecular immunophenotypes were analyzed for inclusion.

resultsSerum iron parameters are altered in breast carcinoma but the results are heterogeneous. High ferritin levels are indicative of higher tumor grade, as well as increased tumor burden and poor outcomes. Transferrin saturation and TIBC exhibit different patterns. More aggressive subtypes, most notably triple-negative breast cancer, show greater iron dysregulation, suggesting a connection between iron metabolism and tumor characteristics despite inconsistencies in findings.

conclusionSerum iron biomarkers, such as ferritin, could indicate cancer aggressiveness and subtype in breast cancer. However, the evidence is inconsistent and mostly observational. These markers may be viewed as adjuncts rather than definitive prognostic tools and would benefit clinically best from validation via large-scale prospective studies.

Indexed as

Breast carcinomaFerritinHistopathological gradingMolecular immunophenotypesPrognosisSerum iron panelTransferrin saturation

Identifiers

PMID41896371
PMCPMC13149739

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