Evidence map›Paper›PMID 36133828›Full record

ArticleInternational journal of breast cancer2022

The Impact of Tumor Infiltrating Lymphocytes Densities and Ki67 Index on Residual Breast Cancer Burden following Neoadjuvant Chemotherapy.

Aya Elmahs, Ghada Mohamed, Mostafa Salem, Dina Omar, Amany Mohamed Helal, Nahed Soliman

Open access · goldAbstract read
In one paragraph

Article in International journal of breast cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 2 institutions in 1 country.

Aya ElmahsDepartment of Pathology, Faculty of Medicine, Helwan University, Egypt.ORCID https://orcid.org/0000-0001-8733-5281
Ghada MohamedDepartment of Pathology, National Cancer Institute, Cairo University, Egypt.ORCID https://orcid.org/0000-0002-5831-4083
Mostafa SalemDepartment of Pathology, Faculty of Medicine, Cairo University, Egypt.
Dina OmarDepartment of Pathology, Faculty of Medicine, Cairo University, Egypt.
Amany Mohamed HelalMedical Oncology Department, Baheya Center for Early Detection and Treatment of Breast Cancer, Egypt.
Nahed SolimanDepartment of Pathology, Faculty of Medicine, Helwan University, Egypt.
Cairo University · EGHelwan University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To avoid unnecessary neoadjuvant chemotherapy in case anticipating a poor therapy response, it is essential to find the pathological parameters that would predict pathological complete response or at least a decrease in tumor burden following neoadjuvant chemotherapy. The purpose of this study is to investigate the hypothesis that tumor infiltrating lymphocytes can predict the efficacy of neoadjuvant chemotherapy and to find the Ki67 cutoff value that best predicts the benefit of chemotherapy. 153 cases of breast cancer were chosen, based on their molecular subtype: triple negative subtype (77) and luminal, HER2-ve subtype (76). Histopathological assessment of pretherapy core biopsies was conducted to assess variable pathological parameters including TILs rates with the aid of immunohistochemical staining for CD20 and CD3. Moreover, core biopsies were stained for Ki67, and the findings were compared to the residual cancer burden following neoadjuvant chemotherapy. On analyzing and contrasting the two groups, a significant association between molecular subtype and pathological complete response was confirmed, while tumor-infiltrating lymphocytes in either group had no effect on therapy response. We used receiver operating characteristic curve analysis to determine that a cutoff of 36% for Ki67 is the most accurate value to predict complete therapy response.

Identifiers

PMID36133828
PMCPMC9484975
OpenAlexW4295880207

What OpenQuestion holds

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LicenceCC BY
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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.