Evidence map›Paper›PMID 33059724›Full record

ArticleBreast cancer research : BCR2020

Inter-tumor genomic heterogeneity of breast cancers: comprehensive genomic profile of primary early breast cancers and relapses.

Caterina Fumagalli, Alberto Ranghiero, Sara Gandini, Federica Corso, Sergio Taormina, Elisa De Camilli, Alessandra Rappa, Davide Vacirca, Giuseppe Viale, Elena Guerini-Rocco and 1 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
2.7field-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, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.

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  20. Breast Cancer Statistics in Korea, 2019.Journal of breast cancer · 2023
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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

11 authors at 3 institutions in 1 country.

Caterina FumagalliDivision of Pathology and Laboratory Medicine, IEO, European Institute of Oncology, IRCCS, Milan, Italy.
Alberto RanghieroDivision of Pathology and Laboratory Medicine, IEO, European Institute of Oncology, IRCCS, Milan, Italy.
Sara GandiniDivision of Epidemiology and Biostatistics, IEO, European Institute of Oncology IRCCS, Milan, Italy.
Federica CorsoDivision of Epidemiology and Biostatistics, IEO, European Institute of Oncology IRCCS, Milan, Italy.
Sergio TaorminaDivision of Pathology and Laboratory Medicine, IEO, European Institute of Oncology, IRCCS, Milan, Italy.
Elisa De CamilliDivision of Pathology and Laboratory Medicine, IEO, European Institute of Oncology, IRCCS, Milan, Italy.
Alessandra RappaDivision of Pathology and Laboratory Medicine, IEO, European Institute of Oncology, IRCCS, Milan, Italy.
Davide VacircaDivision of Pathology and Laboratory Medicine, IEO, European Institute of Oncology, IRCCS, Milan, Italy.
Giuseppe VialeDivision of Pathology and Laboratory Medicine, IEO, European Institute of Oncology, IRCCS, Milan, Italy.
Elena Guerini-RoccoDivision of Pathology and Laboratory Medicine, IEO, European Institute of Oncology, IRCCS, Milan, Italy. Elena.GueriniRocco@ieo.it.ORCID 0000-0003-2001-7582
Massimo BarberisDivision of Pathology and Laboratory Medicine, IEO, European Institute of Oncology, IRCCS, Milan, Italy.
Istituti di Ricovero e Cura a Carattere Scientifico · ITEuropean Institute of Oncology · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe breast cancer genome dynamically evolves during malignant progression and recurrence. We investigated the genomic profiles of primary early-stage breast cancers and matched relapses to elucidate the molecular underpinnings of the metastatic process, focusing on potentially actionable alterations in the recurrences.

methodsA mono-institutional cohort of 128 patients with breast cancers (n = 68 luminal B HER2, n = 6 luminal B HER2+, n = 1 HER2+ non-luminal, n = 56 triple negative) and at least one recurrence in a timeframe of 17 years was evaluated. Next-generation sequencing comprehensive genomic profiling was performed on 289 formalin-fixed paraffin-embedded (FFPE) samples, including primary tumors and matched relapses. Correlations of genomic aberrations with clinicopathologic factors and time to breast cancer relapse were analyzed.

resultsGenomic data were available for 188 of 289 FFPE samples that achieved the sequencing quality parameters (failure rate 34.9%), including 106 primary tumors and 82 relapses. All primary and relapse samples harbored at least one genomic alteration, with a median number of six alterations per sample (range 1-16). The most frequent somatic genomic alterations were mutations of TP53 (primary tumors = 49%, relapses = 49%) and PIK3CA (primary tumors = 33%, relapses = 30%). Distinctive genomic alterations of primary tumors were significantly associated with molecular subtypes. TP53, PIK3R1, and NF1 somatic alterations were more frequently detected in triple negative tumors (p value < 0.05); CCND1, FGF3, and FGFR1 copy number gains were recurrently identified in luminal cases (p value < 0.05). Moreover, TP53 mutations and MYC amplification were significantly and independently associated with a shorter time to relapse (p value < 0.05). Molecular subtype changes between primary tumors and relapses were seen in 10 of 128 (7.8%) cases. Most driver genomic alterations (55.8%) were shared between primary tumors and matched recurrences. However, in 39 of 61 cases (63.9%), additional private alterations were detected in the relapse samples only, including 12 patients with potentially actionable aberrations.

conclusionsSpecific genomic aberrations of primary breast cancers were associated with time to relapse. Primary tumors and matched recurrences showed a core of shared driver genomic aberrations but private actionable alterations have been identified in the relapses.

Indexed as

MutationAdultAgedBiomarkers, TumorBreast NeoplasmsClass I Phosphatidylinositol 3-KinasesDrug Resistance, NeoplasmFemaleGenomicsHigh-Throughput Nucleotide SequencingHumansMiddle AgedMolecular Targeted TherapyNeoplasm MetastasisNeoplasm Recurrence, LocalNeoplasm StagingBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesMYC protein, humanPIK3CA protein, humanProto-Oncogene Proteins c-mycTP53 protein, humanTumor Suppressor Protein p53Breast cancerComprehensive genomic profileGenomic heterogeneityMYCNext-generation sequencingRecurrenceTP53

Identifiers

PMID33059724
PMCPMC7566144
OpenAlexW3093316193

What OpenQuestion holds

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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.