Evidence map›Paper›PMID 26040677›Full record

ArticleBMC cancer2015

TIF1γ interferes with TGFβ1/SMAD4 signaling to promote poor outcome in operable breast cancer patients.

Loay Kassem, Mathieu Deygas, Laurent Fattet, Jonathan Lopez, Thibaut Goulvent, Emilie Lavergne, Sylvie Chabaud, Nicolas Carrabin, Nicolas Chopin, Thomas Bachelot and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

24 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. TRIM24 as a therapeutic target in endocrine treatment-resistant breast cancer.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Sequence Alignment betweenJournal of personalized medicine · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. The Roles of TIF1γ in Cancer.Frontiers in oncology · 2019
    Review
  19. Article
  20. Review
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 4 institutions in 2 countries.

Loay KassemClinical Oncology Department, Faculty of medicine, Cairo University, Cairo, Egypt. loay.kassem@cairocure.com.
Mathieu DeygasU1052 Inserm, UMR CNRS 5286. Université de Lyon, Centre de Recherche en Cancérologie de Lyon, Centre Léon Bérard, Lyon, France. mathieu.deygas@etu.univ-lyon1.fr.
Laurent FattetU1052 Inserm, UMR CNRS 5286. Université de Lyon, Centre de Recherche en Cancérologie de Lyon, Centre Léon Bérard, Lyon, France. lfattet@ucsd.edu.
Jonathan LopezU1052 Inserm, UMR CNRS 5286. Université de Lyon, Centre de Recherche en Cancérologie de Lyon, Centre Léon Bérard, Lyon, France. jonathan.lopez@lyon.unicancer.fr.
Thibaut GoulventU1052 Inserm, UMR CNRS 5286. Université de Lyon, Centre de Recherche en Cancérologie de Lyon, Centre Léon Bérard, Lyon, France. thilbault.gouvent@lyon.unicancer.fr.
Emilie LavergneBiostatistics Unit, Centre Léon Bérard, Lyon, France. emilie.lavergne@lyon.unicancer.fr.
Sylvie ChabaudBiostatistics Unit, Centre Léon Bérard, Lyon, France. sylvie.chabaud@lyon.unicancer.fr.
Nicolas CarrabinDepartment of surgery, Centre Léon Bérard, Lyon, France. nicolas.carrabin@lyon.unicancer.fr.
Nicolas ChopinDepartment of surgery, Centre Léon Bérard, Lyon, France. nicolas.chopin@lyon.unicancer.fr.
Thomas BachelotDepartment of medical oncology, Centre Léon Bérard, Lyon, France. thomas.bachelot@lyon.unicancer.fr.
Germain GilletU1052 Inserm, UMR CNRS 5286. Université de Lyon, Centre de Recherche en Cancérologie de Lyon, Centre Léon Bérard, Lyon, France. germain.gillet@lyon.unicancer.fr.
Isabelle TreilleuxDepartment of pathology, Centre Léon Bérard, Lyon, France. isabelle.treilleux@lyon.unicancer.fr.
Ruth RimokhU1052 Inserm, UMR CNRS 5286. Université de Lyon, Centre de Recherche en Cancérologie de Lyon, Centre Léon Bérard, Lyon, France. ruth.rimokh@lyon.unicancer.fr.
Centre Léon Bérard · FRCentre National de la Recherche Scientifique · FRCairo University · EGCentre de Recherche en Cancérologie de Lyon · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Transforming growth factor β (TGFβ) signaling has a paradoxical role in cancer development and outcome. Besides, the prognostic significance of the TGFβ1, SMAD4 in breast cancer patients is an area of many contradictions. The transcriptional intermediary factor 1γ (TIF1γ) is thought to interact with the TGFβ/SMAD signaling through different mechanisms. Our study aims to define the prognostic significance of TGFβ1, SMAD4 and TIF1γ expression in breast cancer patients and to detect possible interactions among those markers that might affect the outcome.

methodsImmunohistochemistry was performed on tissue microarray (TMA) blocks prepared from samples of 248 operable breast cancer patients who presented at Centre Léon Bérard (CLB) between 1998 and 2001. The intensity and the percentage of stained tumor cells were integrated into a single score (0-6) and a cutoff was defined for high or low expression for each marker. Correlation was done between TGFβ1, SMAD4 and TIF1γ expression with the clinico-pathologic parameters using Pearson's chi-square test. Kaplan-Meier method was used to estimate distant metastasis free survival (DMFS), disease free survival (DFS) and overall survival (OS) and the difference between the groups was evaluated with log-rank test.

results223 cases were assessable for TIF1γ, 204 for TGFβ1 and 173 for SMAD4. Median age at diagnosis was 55.8 years (range: 27 to 89 years). Tumors were larger than 20 mm in 49.2% and 45.2% had axillary lymph node (LN) metastasis (N1a to N3). 19.4% of the patients had SBR grade I tumors, 46.8% grade II tumors and 33.9% grade III tumors. ER was positive in 85.4%, PR in 75.5% and Her2-neu was over-expressed in 10% of the cases. Nuclear TIF1γ, cytoplasmic TGFβ1, nuclear and cytoplasmic SMAD4 stainings were high in 35.9%, 30.4%, 27.7% and 52.6% respectively. TIF1γ expression was associated with younger age (p=0.006), higher SBR grade (p<0.001), more ER negativity (p=0.035), and tumors larger than 2 cm (p=0.081), while TGFβ1 was not associated with any of the traditional prognostic factors. TGFβ1 expression in tumor cells was a marker of poor prognosis regarding DMFS (HR=2.28; 95% CI: 1.4 to 3.8; p=0.002), DFS (HR=2.00; 95% CI: 1.25 to 3.5; p=0.005) and OS (HR=1.89; 95 % CI: 1.04 to 3.43; p=0.037). TIF1γ expression carried a tendency towards poorer DMFS (p=0.091), DFS (p=0.143) and OS (p=0.091). In the multivariate analysis TGFβ1 remained an independent predictor of shorter DMFS, DFS and OS. Moreover, the prognostic significance of TGFβ1 was more obvious in the TIF1γ high patient subgroup than in the patients with TIF1γ low expression. The subgroup expressing both markers had the worst DMFS (HR=3.2; 95% CI: 1.7 to 5.9; p<0.0001), DFS (HR=3.02; 95 % CI: 1.6 to 5.6; p<0.0001) and OS (HR=2.7; 95 % CI: 1.4 to 5.4; p=0.005).

conclusionThere is a crosstalk between the TIF1γ and the TGFβ1/SMAD4 signaling that deteriorates the outcome of operable breast cancer patients and when combined together they can serve as an effective prognostic tool for those patients.

Indexed as

AdultAgedAged, 80 and overAge FactorsBreast NeoplasmsCarcinomaCell NucleusCytoplasmDisease-Free SurvivalErb-b2 Receptor Tyrosine KinasesFemaleHumansLymphatic MetastasisMiddle AgedNeoplasm GradingNeoplasm StagingERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, ProgesteroneSmad4 ProteinSMAD4 protein, humanTranscription FactorsTransforming Growth Factor beta1TRIM33 protein, human

Identifiers

PMID26040677
PMCPMC4453047
OpenAlexW1836603722

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LicenceCC BY
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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.