Evidence map›Paper›PMID 40556788›Full record

ArticleEcancermedicalscience2025

Excellent response to trametinib and low dose chemotherapy in a patient with rare RAF1 mutated sarcoma in a tertiary care center in India.

Anjali Govind, Sameer Rastogi, Sunil Pasricha, Shamim Ahmed, Aastha Goel

Abstract readCase Reports
In one paragraph

Article in Ecancermedicalscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Anjali GovindDepartment of Onco-Anesthesia and Palliative Medicine, All India Institute of Medical Sciences, New Delhi 110029, India.
Sameer RastogiDepartment of Medical Oncology, All India Institute of Medical Sciences, New Delhi 110029, India.
Sunil PasrichaDepartment of Histopathology, Rajiv Gandhi Cancer Institute and Research Center, Delhi 110085, India.
Shamim AhmedDepartment of Nuclear Medicine, All India Institute of Medical Sciences, New Delhi 110029, India.
Aastha GoelDepartment of Medical Oncology, All India Institute of Medical Sciences, New Delhi 110029, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advent of next-generation sequencing, increasingly we can sub classify the soft tissue sarcomas into various subtypes with distinct prognostic and therapeutic implications. Sarcomas with RAF1 mutations are extremely rare and so far, the treatment strategies are not known. Here, we report a case of a 48-year-old lady who initially presented with right ear swelling, which was excised and was suggestive of dermatofibrosarcoma protuberans with S100 expression. After a disease-free interval of 25 months, the patient relapsed with metastasis in the lung. Repeat biopsy and next-generation sequencing (NGS) were suggestive of PDZRN3/RAF1 fusion mutated sarcoma. On presentation, the patient had an Eastern Cooperative Oncology Group performance status of 4 and had respiratory distress due to lung metastasis. After consensus and decision in the molecular tumour board, the patient was started on low-dose trametinib and doxorubicin. After three cycles of treatment, the patient had a partial response and post six cycles she had a near-complete response. This case exemplifies the value of molecular characterisation of soft tissue sarcoma and adds to the already sparse literature for RAF1 mutated sarcomas.

Indexed as

CD34doxorubicinRAF1S100sarcomatrametinib

Identifiers

PMID40556788
PMCPMC12185869

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.