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Record W1651501803

Sulfasalazine: Potential use of an old drug for treatment of pancreatic cancer

2006· article· en· W1651501803 on OpenAlexaffabout
Maisie Lo, Dan Doxsee, Yuwei Wang, Hui Xue, Victor Ling, Yuzhuo Wang, Peter W. Gout

Bibliographic record

VenueCancer Research · 2006
Typearticle
Languageen
FieldMedicine
TopicDrug Transport and Resistance Mechanisms
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsGemcitabinePancreatic cancerMedicineIn vivoSulfasalazinePharmacologyCancerCancer researchInternal medicineBiology
DOInot available

Abstract

fetched live from OpenAlex

4705 Pancreatic cancer is one of the most aggressive and therapy-resistant cancers known. Although chemotherapy using gemcitabine has yielded increases in patient survival, there is no effective therapy for this disease. We have previously found that sulfasalazine (SASP), an established anti-inflammatory drug, can arrest proliferation of lymphoma and prostate cancer cells both in vitro at patient-tolerated levels (∼0.2 mM) and in experimental animals. The in vitro action of SASP is largely based on inhibition of cystine uptake via the xc- cystine/glutamate antiporter. This amino acid, essential for cell growth and viability, cannot be synthesized by certain cancers, rendering them dependent on its uptake from their environment. In the present study we investigated the potential usefulness of SASP for therapy of pancreatic cancer. Human pancreatic cancer cell lines, Mia PaCa-2, Panc-1 and Bxpc-3, were incubated with SASP at a range of concentrations for various periods and cell numbers determined via the WST-1 cell proliferation assay. RT-PCR was used to determine mRNA expression of the xCT subunit of the xc- cystine transporter. In vivo activity of SASP was evaluated using Rag-2M mice carrying subrenal capsule xenografts of the cancer cells (about 80 mm3). I.p. injections of saline or SASP (250 mg/kg body weight) were administered every 12 h for 7 days; the effect of gemcitabine (120 mg/kg body weight; i.p.), twice a week for 7 days, was also assessed. Animals were then sacrificed and tumors harvested for volume measurement and histological analysis. In vitro, Mia PaCa-2 and Panc-1 cells were particularly sensitive to growth inhibition and lytic action by SASP (IC50 = 0.05 mM and 0.1 mM, respectively); the inhibition could be prevented by 60 μM 2-mercaptoethanol allowing cystine uptake via the leucine transporter. The Bxpc-3 cells were less sensitive to SASP (IC50 = 0.35 mM), showing increased expression of xc-, as indicated by elevated xCT-mRNA levels. In vivo, both SASP and gemcitabine inhibited growth of xenografts of the three cell lines, showing growth arrest of about 40-60% (relative to controls), without major toxicity to the hosts. While the growth-inhibitory effect of SASP on pancreatic cancer cell proliferation in vitro involves cystine starvation, the anticancer activity of SASP in vivo needs further investigation. Nevertheless, the marked anti-tumor activity of SASP without major toxicity to the hosts suggests that this established drug could be useful in combination chemotherapy of pancreatic cancer. Supported by the Canadian Institutes of Health Research (PWG/YZW).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.070
GPT teacher head0.388
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2006
Admission routes2
Has abstractyes

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