Evidence map›Paper›PMID 39312051›Full record

ReviewClinical & experimental metastasis2024

Local treatment for oligoprogressive metastatic sites of breast cancer: efficacy, toxicities and future perspectives.

Filippo Merloni, Michela Palleschi, Caterina Gianni, Marianna Sirico, Riccardo Serra, Chiara Casadei, Samanta Sarti, Lorenzo Cecconetto, Giandomenico Di Menna, Marita Mariotti and 4 more

Abstract readReview
In one paragraph

Review in Clinical & experimental metastasis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

14 authors.

Filippo MerloniDepartment of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P.Maroncelli 40, 47014, Meldola, Italy. filippo.merloni@irst.emr.it.
Michela PalleschiDepartment of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P.Maroncelli 40, 47014, Meldola, Italy.
Caterina GianniDepartment of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P.Maroncelli 40, 47014, Meldola, Italy.
Marianna SiricoDepartment of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P.Maroncelli 40, 47014, Meldola, Italy.
Riccardo SerraDepartment of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P.Maroncelli 40, 47014, Meldola, Italy.
Chiara CasadeiDepartment of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P.Maroncelli 40, 47014, Meldola, Italy.
Samanta SartiDepartment of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P.Maroncelli 40, 47014, Meldola, Italy.
Lorenzo CecconettoDepartment of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P.Maroncelli 40, 47014, Meldola, Italy.
Giandomenico Di MennaDepartment of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P.Maroncelli 40, 47014, Meldola, Italy.
Marita MariottiDepartment of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P.Maroncelli 40, 47014, Meldola, Italy.
Roberta MaltoniDepartment of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P.Maroncelli 40, 47014, Meldola, Italy.
Daniela MontanariDepartment of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P.Maroncelli 40, 47014, Meldola, Italy.
Antonino RomeoRadiotherapy Unit, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P.Maroncelli 40, 47014, Meldola, Italy.
Ugo De GiorgiDepartment of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P.Maroncelli 40, 47014, Meldola, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastatic breast cancer (MBC) is still an incurable disease, which eventually develops resistance mechanisms against systemic therapies. While most patients experience widespread disease progression during systemic treatment (ST), in some cases, progression may occur at a limited number of metastatic sites. Evidence from other malignancies suggests that local treatment with stereotactic ablative radiotherapy (SABR) of oligoprogressive disease (OPD) may allow effective disease control without the need to modify ST. Available evidence regarding local treatment of oligoprogressive breast cancer is limited, mostly consisting of retrospective studies. The only randomized data come from the randomized CURB trial, which enrolled patients with oligoprogressive disease, including both small cell lung cancer and breast cancer patients, and did not show a survival benefit from local treatment in the latter group. However, local treatment of oligoprogressive MBC is still considered in clinical practice, especially to delay the switch to more toxic STs. This review aims to identify patients who may benefit from this approach based on the current available knowledge, focusing also on the potential risks associated with the combination of radiotherapy (RT) and ST, as well as on possible future scenarios.

Indexed as

Breast NeoplasmsDisease ProgressionFemaleHumansNeoplasm MetastasisRadiosurgeryRandomized Controlled Trials as TopicBreast cancerLocal treatmentOligoprogressiveRadiotherapyToxicities

Identifiers

PMID39312051
PMCPMC11606987

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.