↓ Skip to main content

Tumor infiltrating lymphocytes and PD-L1 expression in pre- and post-treatment breast cancers in the SWOG S0800 Phase II neoadjuvant chemotherapy trial

Overview of attention for article published in Molecular Cancer Therapeutics, May 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
91 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Tumor infiltrating lymphocytes and PD-L1 expression in pre- and post-treatment breast cancers in the SWOG S0800 Phase II neoadjuvant chemotherapy trial
Published in
Molecular Cancer Therapeutics, May 2018
DOI 10.1158/1535-7163.mct-17-1005
Pubmed ID
Authors

Vasiliki Pelekanou, William E Barlow, Zeina A Nahleh, Brad Wasserman, Ying-Chun Lo, Marie-Kristin von Wahlde, Daniel Hayes, Gabriel N Hortobagyi, Julie Gralow, Debu Tripathy, Peggy Porter, Borbala Szekely, Christos Hatzis, David L Rimm, Lajos Pusztai

Abstract

Our aim was to examine the association of pre-treatment tumor infiltrating lymphocyte (TIL) count and PD-L1 levels with pathologic complete response (pCR) and assess immune marker changes following treatment in tumor specimens from the S0800 clinical trial which randomized patients to bevacizumab+nab-paclitaxel followed by doxorubicin/cyclophosphamide (AC) versus two control arms without bevacizumab (varying sequence of AC and nab-paclitaxel). TILs were assessed in 124 pre- and 62 post-treatment tissues (including 59 pairs). PD-L1 was assessed in 120 pre- and 43 post-treatment tissues (including 39 pairs) using the 22C3 antibody. Baseline and treatment-induced immune changes were correlated with pCR and survival using estrogen receptor (ER) and treatment adjusted logistic and Cox regressions, respectively. At baseline, the mean TIL count was 17.4% (17% had zero TIL, 9% had >50% TILs). Post-treatment, mean TIL count decreased to 11% (5% had no TIL, 2% had > 50% TILs). In paired samples, the mean TILs change was 15% decrease. Baseline PD-L1 was detected in 43% of cases (n=5 in tumor cells, n=29 stroma, n=18 tumor+stroma). Post-treatment, PD-L1 expression was not significantly lower, 33%. Higher baseline TIL count and PD-L1 positivity rate were associated with higher pCR rate even after adjustment for treatment and ER status (p=0.018). There was no association between TIL counts, PD-L1 expression and survival due to few events. In conclusion, TIL counts, but not PD-L1 expression, decreased significantly after treatment. Continued PD-L1 expression in some residual cancers raises the possibility that adjuvant immune checkpoint inhibitor therapy could improve survival in this patient population.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 13%
Researcher 10 11%
Student > Bachelor 10 11%
Student > Master 9 10%
Student > Doctoral Student 6 7%
Other 16 18%
Unknown 28 31%
Readers by discipline Count As %
Medicine and Dentistry 31 34%
Biochemistry, Genetics and Molecular Biology 8 9%
Agricultural and Biological Sciences 4 4%
Nursing and Health Professions 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 6 7%
Unknown 36 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 June 2018.
All research outputs
#4,793,662
of 23,305,591 outputs
Outputs from Molecular Cancer Therapeutics
#906
of 3,902 outputs
Outputs of similar age
#92,172
of 331,789 outputs
Outputs of similar age from Molecular Cancer Therapeutics
#24
of 59 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,902 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 331,789 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.