Evidence map›Paper›PMID 34043821›Full record

ArticleInternational journal of cancer2021

Tumor-stroma ratio is associated with Miller-Payne score and pathological response to neoadjuvant chemotherapy in HER2-negative early breast cancer.

Sophie C Hagenaars, Stefanie de Groot, Danielle Cohen, Tim J A Dekker, Ayoub Charehbili, Elma Meershoek-Klein Kranenbarg, Marjolijn Duijm-de Carpentier, Hanno Pijl, Hein Putter, Rob A E M Tollenaar and 3 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

42 citing papers in PubMed, 41 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

13 authors at 1 institution in 1 country.

Sophie C HagenaarsDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-9121-1975
Stefanie de GrootDepartment of Medical Oncology, Leiden University Medical Center, Leiden, The Netherlands.
Danielle CohenDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
Tim J A DekkerDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-9663-7476
Ayoub CharehbiliDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Elma Meershoek-Klein KranenbargDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-1750-2221
Marjolijn Duijm-de CarpentierDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-7109-1542
Hanno PijlDepartment of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-3076-1551
Hein PutterDepartment of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-5395-1422
Rob A E M TollenaarDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-6831-6082
Judith R KroepDepartment of Medical Oncology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-2671-1903
Wilma E MeskerDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-5533-4778
Dutch Breast Cancer Research Group (BOOG)
Leiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor-stroma ratio (TSR) has proven to be a strong prognostic factor in breast cancer, demonstrating better survival for patients with stroma-low tumors. Since the role of the TSR as a predictive marker for neoadjuvant chemotherapy outcome is yet unknown, this association was evaluated for HER2-negative breast cancer in the prospective DIRECT and NEOZOTAC trials. The TSR was assessed on 375 hematoxylin and eosin-stained sections of pre-treatment biopsies. Associations between the TSR and chemotherapy response according to the Miller-Payne (MP) grading system, and between the TSR and pathological response were examined using Pearson's chi-square, Cochran-Armitage test for trend and regression analyses. A stroma-low tumor prior to neoadjuvant chemotherapy was significantly associated with a higher MP score (P = .005). This relationship remained significant in the estrogen receptor (ER)-negative subgroup (P = .047). The univariable odds ratio (OR) of a stroma-low tumor on pathological complete response (pCR) was 2.46 (95% CI 1.34-4.51, P = .004), which attenuated to 1.90 (95% CI 0.85-4.25, P = .119) after adjustment for relevant prognostic factors. Subgroup analyses revealed an OR of 5.91 in univariable analyses for ER-negativity (95% CI 1.19-29.48, P = .030) and 1.48 for ER-positivity (95% CI 0.73-3.01, P = .281). In conclusion, a low amount of stroma on pre-treatment biopsies is associated with a higher MP score and pCR rate. Therefore, the TSR is a promising biomarker in predicting neoadjuvant treatment outcome. Incorporating this parameter in routine pathological diagnostics could be worthwhile to prevent overtreatment and undertreatment.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsChemotherapy, AdjuvantErb-b2 Receptor Tyrosine KinasesFemaleFollow-Up StudiesHumansMiddle AgedMulticenter Studies as TopicNeoadjuvant TherapyPrognosisProspective StudiesRandomized Controlled Trials as TopicReceptors, EstrogenReceptors, ProgesteroneStromal CellsERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, Progesteronebreast cancerMiller-Payneneoadjuvantpathological responsetumor-stroma ratio

Identifiers

PMID34043821
PMCPMC8362217
OpenAlexW3165603553

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.