Pituitary & hypothalamus

Survivin: A Potential Marker of Resistance to Somatostatin Receptor Ligands

J Clin Endocrinol MetabPublished Cross-sectional study

Authors' conclusion

This study suggests that low survivin expression is predictive of resistance to fg-SRL in somatotropinomas, but not of tumor invasiveness.

Study context

Population
Somatotropinoma samples (tissue microarrays); drug resistance evaluated in patients who received somatostatin receptor ligand (SRL) treatment34 SRL-treated
Participants
52 somatotropinoma samples
Exposure
SRL-resistant vs responsive somatotropinomas; invasive vs non-invasive
Outcome
Factors associated with resistance to fg-SRL
Methodological detailstissue microarrays, immunohistochemistry
  • Tissue microarrays
  • Immunohistochemistry

Main finding

As reported in the abstract

Low survivin expression associated with first-generation SRL (fg-SRL) resistance
P = 0.04
Hyperintense T2 weighted image (T2WI) signal associated with fg-SRL resistance
P = 0.01
Younger age associated with fg-SRL resistance
P = 0.01
Sparsely granular adenomas (SGA) associated with fg-SRL resistance
P = 0.04
High postoperative growth hormone (GH) associated with fg-SRL resistance
P = 0.049
High postoperative IGF-1 associated with fg-SRL resistance
P < 0.001
Large postoperative tumor size associated with fg-SRL resistance
P = 0.02

Observational data: associations, not effects.

Further findings

Markers associated with SGA

Low survivin expression associated with SGA
P = 0.04
Low SSTR2 expression associated with SGA
P = 0.01
High 4EBP1 expression associated with SGA
P = 0.001

Factors associated with tumor invasiveness

Younger age
P = 0.03
Large preoperative tumor
P = 0.04
Large postoperative tumor
P = 0.006
Low SSTR2 expression
P = 0.03
High baseline GH
P = 0.01
High baseline IGF-1
P = 0.02
Survivin, 4EBP1, Ki-67 and granulation patterns not associated with tumor invasion

Original publication

Survivin: A Potential Marker of Resistance to Somatostatin Receptor Ligands. J Clin Endocrinol Metab. Published 24 October 2022. doi:10.1210/clinem/dgac610

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.