Evidence map›Paper›PMID 30228933›Full record

ArticleOncoimmunology

Dynamic evaluation of the immune infiltrate and immune function genes as predictive markers for neoadjuvant chemotherapy in hormone receptor positive, HER2 negative breast cancer.

Alexios Matikas, John Lövrot, Anna Ramberg, Margareta Eriksson, Therese Lindsten, Tobias Lekberg, Ingrid Hedenfalk, Niklas Loman, Jonas Bergh, Thomas Hatschek and 2 more

Abstract read
In one paragraph

Article in Oncoimmunology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

12 authors.

Alexios MatikasDepartment of Oncology, Karolinska Institutet and University Hospital, Stockholm, Sweden.
John LövrotDepartment of Oncology, Karolinska Institutet and University Hospital, Stockholm, Sweden.ORCID 0000-0002-9339-8059
Anna RambergDepartment of Clinical Pathology and Cytology, Central Hospital Karlstad, Karlstad, Sweden.
Margareta ErikssonDepartment of Clinical Pathology and Cytology, Central Hospital Karlstad, Karlstad, Sweden.
Therese LindstenDepartment of Clinical Pathology and Cytology, Central Hospital Karlstad, Karlstad, Sweden.ORCID 0000-0002-2414-2893
Tobias LekbergDepartment of Oncology, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Ingrid HedenfalkDepartment of Oncology/Pathology, Lund University, Lund, Sweden.
Niklas LomanDepartment of Oncology/Pathology, Lund University, Lund, Sweden.
Jonas BerghDepartment of Oncology, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Thomas HatschekDepartment of Oncology, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Ann ErlandssonDepartment of Urology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Theodoros FoukakisDepartment of Oncology, Karolinska Institutet and University Hospital, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression (GE) signatures and Tumor Infiltrating Lymphocytes (TIL) enumeration are predictive for response to neoadjuvant chemotherapy in HR- and in HER2+ breast cancer, but data are conflicting in HR+/HER2- disease. This study aimed to explore their predictive value in this subset, measured both at baseline and after short exposure to chemotherapy. Specifically, the PROMIX phase 2 trial enrolled patients with locally advanced HER2- BC to receive six cycles of epirubicin and docetaxel, plus bevacizumab during cycles 3-6. Patients underwent tumor biopsies at baseline and after cycle 2 for GE profiling and enumeration of TIL, FOXP3+ T-cells and CD163+ macrophages. An immune related gene module and the quantification of the immune infiltrate were analyzed for association with pathologic complete response (pCR), decrease in tumor size and disease-free survival (DFS). Of the 150 patients enrolled in PROMIX, 113 were HR+/HER2-. Baseline GE and immune cell enumeration data were available from 71 patients, while data after 2 cycles of chemotherapy were available from 41. At baseline, only GE was statistically significantly associated with higher pCR rates (OR 2.29, 95% CI 1.05 - 5.38, p = 0.037) and decrease in tumor size (r = 0.25, p = 0.047). In contrast, longitudinal data indicate that both GE (r = 0.54, p<0.001) and TIL abundance (p = 0.009) are stronger predictors for the reduction of tumor size, while low FOXP3+ was statistically significantly associated with an improved DFS (p = 0.027). In conclusion, GE analysis, TIL and FOXP3+ enumeration after short-term exposure to chemotherapy carry important predictive information in HR+/HER2- breast cancer at the neoadjuvant setting.

Indexed as

biomarkerbreast cancergene expressionpredictivetumor infiltrating lymphocytes

Identifiers

PMID30228933
PMCPMC6140817

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.