Evidence map›Paper›PMID 35855704›Full record

ArticleMedical journal, Armed Forces India2022

Study of angiogenesis in invasive breast carcinoma by morphometry and immunohistochemistry.

J K Bhatia, Tripta Chaudhary, Dibyajyoti Boruah, Reena Bharadwaj

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In one paragraph

Article in Medical journal, Armed Forces India, 2022. 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
0.2field-weighted citation impact, top 50% of its field
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, 3 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

J K BhatiaSenior Advisor & Head (Pathology), Command Hospital (Eastern Command), Kolkata, India.
Tripta ChaudharyResident, Department of Pathology, Armed Forces Medical College, Pune, India.
Dibyajyoti BoruahScientist 'E', Department of Pathology, Armed Forces Medical College, Pune, India.
Reena BharadwajMG Medical, HQ Central Command, Lucknow, India.
Armed Forces Medical College · INCommand Hospital · INEastern Command Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer is the leading cause of cancer-related deaths in Asia and is emerging as the commonest female malignancy. Angiogenesis or neovascularization is important for the growth and spread of malignant tumors, and quantitative assessment of angiogenesis may prove valuable in prognostication. This study was undertaken to quantify and explore angiogenesis with immunohistochemistry with CD 34, CD 105, and vascular endothelial growth factor (VEGF), as well as morphometric analysis and correlate with the grades of the invasive breast carcinoma. Methods: Angiogenesis was assessed by morphometry and immunohistochemistry. Seventy cases of invasive ductal carcinoma (IDC) and twenty-five benign cases as controls were included in the study. Morphometry was performed on the CD34 and CD105 (Endoglin) stained representative histologic sections with the use of a computerized digital photomicrograph system using image analyzing software. Morphometric analysis and evaluation of vascular parameters, i.e. microvessel density (MVD), microvessel caliber (VC), and total microvessel boundary density (TVBD), were calculated. Semiquantitative assessment of angiogenesis of VEGF-stained sections was done by scoring. Immunohistochemical staining was correlated with the histological grade of the tumors. MVD, mean VC, TVBD with their mean values, SD, and range were calculated using Statistical Package for The Social Sciences (Version 20). One-way analysis of variance (ANOVA) with Tukey HSD was performed to assess the difference of the parameters for the groups. Spearman rank correlation coefficients ρ were calculated. Results: The vascular parameters were significantly more in malignant lesions as compared to benign lesions and showed differences with increasing grade. Grades of breast carcinoma showed a mild positive correlation with VEGF (ρ = 0.467), MVD-CD34 (ρ = 0.422) and VC-CD34 (ρ = 0.482); and moderate positive correlation with TVBD-CD34 (ρ = 0.615), VC-CD105 (ρ = 0.527), and TVBD-CD105 (ρ = 0.354). When these parameters were compared with each other for all four groups, VEGF showed a mild positive correlation with MVD-CD34 (ρ = 0.295), TVBD-CD34 (ρ = 0.339), and TVBD-CD105 ((ρ = 0.277). MVD-CD105 showed a mild positive correlation with MVD-CD34 TVBD-CD105 also showed a strong positive correlation with MVD-CD34. VC-CD105 showed a moderate positive correlation with VC-CD34. CD 105 stained fewer but larger caliber vessels. Conclusions: In this study, vascular parameters showed significant differences in three grades of IDC with CD34. Differences were seen in vascular parameters stained with CD105 in three grades of IDC. Expression of VEGF also showed significant differences with positive correlations in the three grades of IDC. CD34 highlighted both old and newly formed microvessels. CD 105 stained fewer but larger caliber microvessels. VC-CD105 can be an extremely useful adjunct along with VEGF and CD34 to study angiogenesis of vessels in IDC.

Indexed as

Angiogenesis (neovascularization)Endoglin (CD105)ImmunohistochemistryInvasive ductal carcinomaVascular endothelial growth factor

Identifiers

PMID35855704
PMCPMC9287664
OpenAlexW4200058305

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.