Evidence map›Paper›PMID 31389890›Full record

ArticleClinical orthopaedics and related research2019

Clinical and Molecular Analysis of Pathologic Fracture-associated Osteosarcoma: MicroRNA profile Is Different and Correlates with Prognosis.

Santiago A Lozano Calderón, Cassandra Garbutt, Jason Kim, Christopher E Lietz, Yen-Lin Chen, Karen Bernstein, Ivan Chebib, G Petur Nielsen, Vikram Deshpande, Renee Rubio and 7 more

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Clinical orthopaedics and related research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Menopausal Hormone Therapy in Women with Type 2 Diabetes Mellitus: An Updated Review.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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

17 authors at 1 institution in 3 countries.

Santiago A Lozano CalderónS. A. Lozano Calderón, J. Kim, K. Raskin, J. Schwab, D. Spentzos, Department of Orthopaedic Surgery, Musculoskeletal Oncology Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA Y.-L. Chen, K. Bernstein, T. Delaney, Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA I. Chebib, G. P. Nielsen, V. Deshpande, Department of Pathology, Bone and Soft Tissue Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA R. Rubio, Y. E. Wang, J. Quackenbush, Department of Biostatistics and Computational Biology, Dana Farber Cancer Institute, Boston, MA R. Rubio, Y. E. Wang, J. Quackenbush, Department of Biostatistics, Harvard School of Public Health, Boston, MA C. Garbutt, C. E. Lietz, G. Cote, Department of Medical Oncology, Massachusetts General Hospital, Boston, MA; Department of Medical Oncology, Massachusetts General Hospital, Boston, MA.
Cassandra Garbutt
Jason Kim
Christopher E Lietz
Yen-Lin Chen
Karen Bernstein
Ivan Chebib
G Petur Nielsen
Vikram Deshpande
Renee Rubio
Yaoyu E Wang
John Quackenbush
Thomas Delaney
Kevin Raskin
Joseph Schwab
Gregory Cote
Dimitrios Spentzos
Herat University · AF

Funding

Integrated models for metastatic phenotype and outcome prediction in osteosarcomaR01CA178908 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI SPENTZOS, DIMITRIOS · 2014 to 2018
$1.8M
NCI NIH HHS R01 CA178908
6 · The paper itself

Abstract

backgroundMicroRNAs are small, noncoding RNAs that regulate the expression of posttranslational genes. The presence of some specific microRNAs has been associated with increased risk of both local recurrence and metastasis and worse survival in patients with osteosarcoma. Pathologic fractures in osteosarcoma are considered to be more the manifestation of a neoplasm with a more aggressive biological behavior than the cause itself of worse prognosis. However, this has not been proved at the biological or molecular level. Currently, there has not been a microRNA profiling study of patients who have osteosarcoma with and without pathologic fractures that has described differences in terms of microRNA profiling between these two groups and their correlation with biologic behavior. QUESTIONS/PURPOSES: (1) In patients with osteosarcoma of the extremities, how do the microRNA profiles of those with and without pathologic fractures compare? (2) What relationship do microRNAs have with local recurrence, risk of metastasis, disease-specific survival, and overall survival in osteosarcoma patients with pathologic fractures?

methodsBetween 1994 and 2013, 217 patients were diagnosed and treated at our institution for osteosarcoma of the extremities. Patients were excluded if (1) they underwent oncologic resection of the osteosarcoma at an outside institution (two patients) or (2) they were diagnosed with an extraskeletal osteosarcoma (29 patients) or (3) they had less than 1 year of clinical follow-up and no oncologic outcome (local recurrence, metastasis, or death) (four patients). A total of 182 patients were eligible. Of those, 143 were high-grade osteosarcomas. After evaluation of tumor samples before chemotherapy treatment, a total of 80 consecutive samples were selected for sequencing. Demographic and clinical comparison between the sequenced and non-sequenced patients did not demonstrate any differences, confirming that both groups were comparable. Diagnostic samples from the extremities of 80 patients with high-grade extremity osteosarcomas who had not yet received chemotherapy underwent microRNA sequencing for an ongoing large-scale osteosarcoma genome profiling project at our institution. Six samples were removed after a second look by a musculoskeletal pathologist who verified cellularity and quality of samples to be sequenced, leaving a total of 74 patients. Of these, two samples were removed as they were confirmed to be pelvic tumors in a second check after sequencing. The final study sample was 72 patients (11 patients with pathologic fractures and 61 without). Sequencing data were correlated with fractures and local recurrence, risk of metastasis, disease-specific survival, and overall survival through Kaplan-Meier analyses.

resultsSeveral microRNAs were expressed differently between the two groups. Among the markers with the highest differential expression (edgeR and DESeq algorithms), Hsa-mIR 656-3p, hsa-miR 493-5p, and hsa-miR 381-3p were upregulated in patients with pathologic fractures, whereas hsa-miR 363, hsa-miR 885-5p, and has-miR 20b-5p were downregulated. The highest differential expression fracture and nonfracture-associated microRNA markers also distinguished groups of patients with different metastasis risk, a well as different disease-specific and overall survival. Furthermore, the profile of pathologic fractures demonstrated a higher differential expression for microRNA markers that were previously associated with a higher risk of metastasis and lower survival rates in patients with osteosarcoma.

conclusionsIn patients who have osteosarcoma, the microRNA profiles of those with pathologic fractures are different than of patients without pathologic fractures. The highest differential expression mircroRNA molecules in patients with pathologic fractures predict also higher risk of metastatic disease as well as worse disease-specific survival and overall survival. Furthermore, we found higher differential expression of microRNAs in the pathologic fracture group previously associated with poor prognosis. The higher risk of metastasis and poorer overall survival in patients with pathologic fractures is inherent to tumor aggressive biologic behavior. It is plausible that the fracture itself is not the direct cause of worse prognosis but another manifestation of tumor biologic aggressiveness. Identification of these molecules through liquid biopsies may help to determine which patients may benefit from surgery before fractures occur. The same technology can be applied to identify patterns of response to conventional chemotherapy, assisting in more specific and accurate systemic therapy. LEVEL OF EVIDENCE LEVEL: III, prognostic study.

Indexed as

AdolescentAdultAgedBiomarkers, TumorBone NeoplasmsChildFemaleFractures, SpontaneousHumansMaleMicroRNAsMiddle AgedOsteosarcomaPrognosisRetrospective StudiesSurvival RateBiomarkers, TumorMicroRNAsMIRN363 microRNA, humanMIRN381 microRNA, humanMIRN493 microRNA, humanMIRN885 microRNA, human

Identifiers

PMID31389890
PMCPMC7000091
OpenAlexW2969081501

What OpenQuestion holds

Textmetadata
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.