Title	Lantern Pharma's Investigational Drug-Candidate, LP-184, Receives Fast-Track Designation in Glioblastoma from the FDA
ID	3247799
External ID	7214707610
Author	Unknown
Published Date	Oct. 15, 2024, 9:45 a.m.
Summary	Lantern Pharma Inc. , an artificial intelligence (AI) company dedicated to developing cancer therapies and transforming the cost, pace, and timeline of oncology drug discovery and development, today a
Tags	None
URL	https://www.lelezard.com/en/news-21563319.html
Sentiment	Negative: 0.01006 Neutral: 0.76218 Positive: 0.22776
Relevance	0.01345

Content ID	1647194
Key	89d575a0-3453-4cb8-939e-20692a4941ae
Content	Lantern Pharma Inc. , an artificial intelligence (AI) company dedicated to developing cancer therapies and transforming the cost, pace, and timeline of oncology drug discovery and development, today announced that the FDA has granted Fast Track... Lantern Pharma Inc. (NASDAQ: LTRN), an artificial intelligence (AI) company dedicated to developing cancer therapies and transforming the cost, pace, and timeline of oncology drug discovery and development, today announced that the FDA has granted Fast Track Designation for investigational drug candidate, LP-184, for treatment of Glioblastoma. LP-184 is currently in a Phase 1A clinical trial designed to evaluate the safety and tolerability of the synthetically lethal investigational drug candidate in a broad range of solid tumors, including Glioblastoma (GBM) . LP-184 was optimized and advanced in part with Lantern's AI platform, RADR®, to aid in the validation of mechanisms that could be exploited in the clinical setting to eradicate challenging cancers, and uncover insights in targeted patient populations. RADR® is Lantern's AI platform for cancer therapy discovery, development and rescue with over 100 billion data points and aiding in the development of both Lantern's portfolio and development initiatives with Lantern's collaborators. About GBM and the need for improved and novel therapies. Glioblastoma (GBM) affects nearly 13,000 patients annually in the US and approximately 300,000 globally, with a mortality rate of 94%. Current standard of care therapies result in a life expectancy in GBM patients of less than 15 months. A major limitation to development of new drugs in the treatment of GBM is the need for potential drugs to have the ability to cross the blood brain barrier (BBB) as well as the ability to counteract the inherent and adaptive resistance of GBM cancer cells to temozolomide, the current standard of care in GBM. This resistance is largely derived from the expression of the DNA repair enzyme MGMT . LP-184 activity is agnostic to MGMT expression, meaning it does not depend on the under or over-expression of MGMT in GBM and has shown in-vivo, preclinical activity in both types of GBM models. No new drugs for GBM have been approved in over two decades. Lantern Pharma is advancing LP-184, a molecule which demonstrates synthetic lethality when combined with agents that cause DNA damage repair deficiency. Additionally, LP-184 has shown that it causes double-stranded breaks in the DNA of recurrent GBM (rGBM) cancer cells in multiple in-vivo models and is currently being advanced in early clinical stage studies. "Receiving FDA Fast Track Designation for Lantern Pharma's LP-184 in GBM reinforces our belief that this drug-candidate can help in the critical need to find effective treatment options for patients with GBM and further supports the potential of LP-184 to address the challenges in aggressive CNS cancers, where patients have a critical need for novel and life extending therapies" said Panna Sharma, President and CEO of Lantern Pharma. Current status of LP-184 & STAR-001 in clinical trials & development LP-184 is currently being studied in a phase 1A clinical trial to evaluate the safety, tolerability and maximum tolerated dose (MTD) of the potential therapy in a wide range of tumors, including GBM. The full study design can be viewed here (clinicaltrials.gov) . Once the MTD has been established, Lantern has plans to advance the drug-candidate LP-184 as STAR-001 through its wholly owned subsidiary, Starlight Therapeutics, in GBM and other CNS and brain cancers. Lantern also anticipates further using RADR® to determine potential additional suitability for LP-184 in combination with other approved agents for the control of cancer progression in multiple other patient subgroups. Lantern has provided information on the development of LP-184 in GBM and has also discussed its plan to advance STAR-001 (LP-184 for CNS cancers) in multiple publicly available webinars, including on: The proposed goals for the development of Phase 1b/2a clinical studies are targeting a rGBM specific trial to begin in late 2024 or early 2025. This trial is being planned to assess LP-184 in a Phase 1b/2a study as mono-therapy and in combination with spironolactone in rGBM to assess safety, pharmacokinetics and preliminary efficacy. Concurrently, Lantern will conduct a retrospective correlative analysis of multiple key markers of DNA damage as exploratory endpoints. EGFR expression or mutation status, MGMT status and expression of DNA damage repair pathway are also planned to be studied as potential response predictors to help inform and guide future late-stage trials and to stratify enrollment. About the FDA Fast Track process The FDA's Fast Track process is designed to facilitate development and expedite the review of therapies intended to treat serious conditions and address unmet medical needs to potentially bring important new medicines to patients sooner. Companies whose programs are granted Fast Track Designation are eligible for more frequent interactions with the FDA during clinical development. For more information on Fast Track designation, please visit the FDA's website at www.fda.gov/patients/fast-track-breakthrough-therapy-accelerated-approval-priority-review/fast-track About Lantern Pharma: Lantern Pharma (NASDAQ: LTRN) is an AI company transforming the cost, pace, and timeline of oncology drug discovery and development. Our proprietary AI and machine learning (ML) platform, RADR ® , leverages over 100 billion oncology-focused data points and a library of 200+ advanced ML algorithms to help solve billion-dollar, real-world problems in oncology drug development. By harnessing the power of AI and with input from world-class scientific advisors and collaborators, we have accelerated the development of our growing pipeline of therapies that span multiple cancer indications, including both solid tumors and blood cancers and an antibody-drug conjugate (ADC) program. On average, our newly developed drug programs have been advanced from initial AI insights to first-in-human clinical trials in 2-3 years and at approximately $1.0 - 2.5 million per program. Our lead development programs include a Phase 2 clinical program and multiple Phase 1 clinical trials. We have also established a wholly-owned subsidiary, Starlight Therapeutics, to focus exclusively on the clinical execution of our promising therapies for CNS and brain cancers, many of which have no effective treatment options. Our AI-driven pipeline of innovative product candidates is estimated to have a combined annual market potential of over $15 billion USD and have the potential to provide life-changing therapies to hundreds of thousands of cancer patients across the world. Please find more information at: Forward-looking Statements: This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. These forward-looking statements include, among other things, statements relating to: future events or our future financial performance; the potential advantages of our RADR ® platform in identifying drug candidates and patient populations that are likely to respond to a drug candidate; our strategic plans to advance the development of our drug candidates and antibody drug conjugate (ADC) development program; estimates regarding the development timing for our drug candidates and ADC development program; expectations and estimates regarding clinical trial timing and patient enrollment; our research and development efforts of our internal drug discovery programs and the utilization of our RADR ® platform to streamline the drug development process; our intention to leverage artificial intelligence, machine learning and genomic data to streamline and transform the pace, risk and cost of oncology drug discovery and development and to identify patient populations that would likely respond to a drug candidate; estimates regarding patient populations, potential markets and potential market sizes; sales estimates for our drug candidates and our plans to discover and develop drug candidates and to maximize their commercial potential by advancing such drug candidates ourselves or in collaboration with others. Any statements that are not statements of historical fact (including, without limitation, statements that use words such as "anticipate," "believe," "contemplate," "could," "estimate," "expect," "intend," "seek," "may," "might," "plan," "potential," "predict," "project," "target," "model," "objective," "aim," "upcoming," "should," "will," "would," or the negative of these words or other similar expressions) should be considered forward-looking statements. There are a number of important factors that could cause our actual results to differ materially from those indicated by the forward-looking statements, such as (i) the risk that our research and the research of our collaborators may not be successful, (ii) the risk that observations in preclinical studies and early or preliminary observations in clinical studies do not ensure that later observations, studies and development will be consistent or successful, (iii) the risk that we may not be successful in licensing potential candidates or in completing potential partnerships and collaborations, (iv) the risk that none of our product candidates has received FDA marketing approval, and we may not be able to successfully initiate, conduct, or conclude clinical testing for or obtain marketing approval for our product candidates, (v) the risk that no drug product based on our proprietary RADR ® AI platform has received FDA marketing approval or otherwise been incorporated into a commercial product, and (vi) those other factors set forth in the Risk Factors section in our Annual Report on Form 10-K for the year ended December 31, 2023, filed with the Securities and Exchange Commission on March 18, 2024. You may access our Annual Report on Form 10-K for the year ended December 31, 2023 under the investor SEC filings tab of our website at www.lanternpharma.com or on the SEC's website at www.sec.gov . Given these risks and uncertainties, we can give no assurances that our forward-looking statements will prove to be accurate, or that any other results or events projected or contemplated by our forward-looking statements will in fact occur, and we caution investors not to place undue reliance on these statements. All forward-looking statements in this press release represent our judgment as of the date hereof, and, except as otherwise required by law, we disclaim any obligation to update any forward-looking statements to conform the statement to actual results or changes in our expectations. In patients with glioblastoma (GBM) an aggressive and severe type of brain tumor, the cancer medicine temozolomide is more effective in those with a methylation of the gene's promoter . Overall, MGMT methylation or hyper-methylation is associated with prolonged patient survival in clinical prediction models, while under-methylation or no-methylation can be derived as a result of exposure to temozolomide and cause resistance to temozolomide therapy and therefore no benefit from the use of temozolomide in GBM. Bachchu Lal, Aditya Kulkarni, Joseph McDermott, Rana Rais, Jesse Alt, Ying Wu, Hernando Lopez-Bertoni, Sophie Sall, Umesh Kathad, Jianli Zhou, Barbara S. Slusher, Kishor Bhatia, John Laterra; Preclinical Efficacy of LP-184, a Tumor Site Activated Synthetic Lethal Therapeutic, in Glioblastoma. Clin Cancer Res 15 October 2023; 29 (20): 4209 4218. https://doi.org/10.1158/1078-0432.CCR-23-0673
Content Reference URL	None

Publisher Name	Le Lézard (English)
Publisher URL	https://www.lelezard.com
Description	None
Trust Flow Score	6
Citation Flow Score	23

Data Source Name	Quantexa News
Data Source Type	news
Data Source URL	https://app.aylien.com/dashboard
Description	Welcome to Quantexa News API — the most powerful way to aggregate, filter, and integrate global news data into your apps and models.
Weight	10

DJDT

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Package	Name	Version
Django		5.0.3
Python		3.11.8
coverage	Coverage	7.4.4
debug_toolbar	Debug Toolbar	4.3.0
django_extensions	Django Extensions	3.2.3
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Time

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Resource	Value
User CPU time	31.191 msec
System CPU time	3.824 msec
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Browser timing

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WSGI environ

Since the WSGI environ inherits the environment of the server, only a significant subset is shown below.

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CONTENT_LENGTH
CONTENT_TYPE
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QUERY_STRING
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SCRIPT_NAME
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Request

View information

View function	Arguments	Keyword arguments	URL name
`app.core.views.app.ticker_content_detail`	`()`	`{'content_id': 3247799, 'ticker': 'LTRN'}`	`ticker_content_detail`

No cookies

No session data

No GET data

No POST data

SQL queries from 1 connection

default 6.45 ms (4 queries )

	Query		Timeline	Time (ms)	Action
		SELECT "pl_content"."created_dt", "pl_content"."updated_dt", "pl_content"."status_id", "pl_content"."id", "pl_content"."key", "pl_content"."fetch_ref_id", "pl_content"."ticker", "pl_content"."publish_dt", "pl_content"."external_id", "pl_content"."published_by", "pl_content"."title", "pl_content"."summary", "pl_content"."tags", "pl_content"."url", "pl_content"."author", "pl_content"."author_reputation_score", "pl_content"."content_length", "pl_content"."sentiment_positive", "pl_content"."sentiment_negative", "pl_content"."sentiment_neutral", "pl_content"."sentiment", "pl_content"."relevance_score", "pl_content"."votes_positive", "pl_content"."votes_negative", "pl_content"."is_processing_flag", "pl_content"."data_source_id", "pl_content"."publisher_id" FROM "pl_content" WHERE "pl_content"."id" = 3247799 LIMIT 21SELECT ••• FROM "pl_content" WHERE "pl_content"."id" = 3247799 LIMIT 21		0.94
		Connection: default Transaction status: Idle /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(1405) content = Content.objects.get(id=content_id)
		SELECT "pl_content_content"."created_dt", "pl_content_content"."updated_dt", "pl_content_content"."status_id", "pl_content_content"."id", "pl_content_content"."key", "pl_content_content"."content", "pl_content_content"."content_ref_url", "pl_content_content"."content_id" FROM "pl_content_content" WHERE "pl_content_content"."content_id" = 3247799 ORDER BY "pl_content_content"."id" ASC LIMIT 1SELECT ••• FROM "pl_content_content" WHERE "pl_content_content"."content_id" = 3247799 ORDER BY "pl_content_content"."id" ASC LIMIT 1		4.12
		Connection: default Transaction status: Idle /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(1411) content_content = ContentContent.objects.filter(details=content).first()
		SELECT "pl_content_publisher"."created_dt", "pl_content_publisher"."updated_dt", "pl_content_publisher"."status_id", "pl_content_publisher"."id", "pl_content_publisher"."name", "pl_content_publisher"."url", "pl_content_publisher"."domain", "pl_content_publisher"."description", "pl_content_publisher"."weight", "pl_content_publisher"."trust_flow_score", "pl_content_publisher"."citation_flow_score" FROM "pl_content_publisher" WHERE "pl_content_publisher"."id" = 4693 LIMIT 21SELECT ••• FROM "pl_content_publisher" WHERE "pl_content_publisher"."id" = 4693 LIMIT 21		0.76
		Connection: default Transaction status: Idle /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(1414) publisher = content.publisher
		SELECT "pl_data_source"."created_dt", "pl_data_source"."updated_dt", "pl_data_source"."status_id", "pl_data_source"."id", "pl_data_source"."name", "pl_data_source"."type", "pl_data_source"."url", "pl_data_source"."description", "pl_data_source"."weight", "pl_data_source"."class_name", "pl_data_source"."class_params_json" FROM "pl_data_source" WHERE "pl_data_source"."id" = 5 LIMIT 21SELECT ••• FROM "pl_data_source" WHERE "pl_data_source"."id" = 5 LIMIT 21		0.63
		Connection: default Transaction status: Idle /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(1415) data_source = content.data_source

Static files (717 found, 2 used)

Static file paths

None

Static file apps

grappelli
django.contrib.admin
django_htmx
app.core
django_extensions
debug_toolbar

Static files

css/pennyloupe.css: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/css/pennyloupe.css
img/penny_loupe_logo.png: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/penny_loupe_logo.png

django.contrib.staticfiles.finders.AppDirectoriesFinder (717 files)

Templates (6 rendered)

Template path

templates

Templates

ticker_content_detail.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/ticker_content_detail.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7ff653979da0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/LTRN/content/3247799'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7ff651a0a8e0>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7ff651a0a8e0>>'} {'content_detail': {'content': <Content: Lantern Pharma's Investigational Drug-Candidate, LP-184, Receives Fast-Track Designation in Glioblastoma from the FDA - Unknown>, 'content_content': <ContentContent: Content ID: 1647194>, 'data_source': <DataSource: Quantexa News>, 'publisher': <ContentPublisher: Le Lézard (English)>}, 'ticker': 'LTRN'}
base.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/base.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7ff653979da0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/LTRN/content/3247799'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7ff651a0a8e0>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7ff651a0a8e0>>'} {'content_detail': {'content': <Content: Lantern Pharma's Investigational Drug-Candidate, LP-184, Receives Fast-Track Designation in Glioblastoma from the FDA - Unknown>, 'content_content': <ContentContent: Content ID: 1647194>, 'data_source': <DataSource: Quantexa News>, 'publisher': <ContentPublisher: Le Lézard (English)>}, 'ticker': 'LTRN'}
components/leftnav.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/components/leftnav.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7ff653979da0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/LTRN/content/3247799'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7ff651a0a8e0>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7ff651a0a8e0>>'} {'content_detail': {'content': <Content: Lantern Pharma's Investigational Drug-Candidate, LP-184, Receives Fast-Track Designation in Glioblastoma from the FDA - Unknown>, 'content_content': <ContentContent: Content ID: 1647194>, 'data_source': <DataSource: Quantexa News>, 'publisher': <ContentPublisher: Le Lézard (English)>}, 'ticker': 'LTRN'} {'block': <Block Node: leftnav. Contents: [<TextNode: '\n <div'>, <IncludeNode: template=<FilterExpression '"components/leftnav.html"'>>, <TextNode: '\n </di'>]>}
components/header.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/components/header.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7ff653979da0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/LTRN/content/3247799'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7ff651a0a8e0>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7ff651a0a8e0>>'} {'content_detail': {'content': <Content: Lantern Pharma's Investigational Drug-Candidate, LP-184, Receives Fast-Track Designation in Glioblastoma from the FDA - Unknown>, 'content_content': <ContentContent: Content ID: 1647194>, 'data_source': <DataSource: Quantexa News>, 'publisher': <ContentPublisher: Le Lézard (English)>}, 'ticker': 'LTRN'} {'block': <Block Node: header. Contents: [<TextNode: '\n\n '>, <IncludeNode: template=<FilterExpression '"components/header.html"'>>, <TextNode: '\n\n '>]>}
components/ticker_subnav.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/components/ticker_subnav.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7ff653979da0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/LTRN/content/3247799'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7ff651a0a8e0>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7ff651a0a8e0>>'} {'content_detail': {'content': <Content: Lantern Pharma's Investigational Drug-Candidate, LP-184, Receives Fast-Track Designation in Glioblastoma from the FDA - Unknown>, 'content_content': <ContentContent: Content ID: 1647194>, 'data_source': <DataSource: Quantexa News>, 'publisher': <ContentPublisher: Le Lézard (English)>}, 'ticker': 'LTRN'} {'block': <Block Node: content. Contents: [<TextNode: '\n\n <div class="uk-flex'>, <IncludeNode: template=<FilterExpression '"components/ticker_subnav.html"'>>, <TextNode: '\n <!-- /SUB NAV--'>, <Variable Node: content_detail.content.title>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.id>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.external_id>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.author>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.publish_dt>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.summary>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.tags>, <TextNode: '</td>\n '>, <IfNode>, <TextNode: '\n '>, <Variable Node: content_detail.content.sentiment_negative>, <TextNode: '   \n '>, <Variable Node: content_detail.content.sentiment_neutral>, <TextNode: '   \n '>, <Variable Node: content_detail.content.sentiment_positive>, <TextNode: '<br/>\n '>, <django.template.defaulttags.WidthRatioNode object at 0x7ff656abd450>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.sentiment_neutral>, <TextNode: '" style="width:'>, <django.template.defaulttags.WidthRatioNode object at 0x7ff653f5c250>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.sentiment_positive>, <TextNode: '" style="width:'>, <django.template.defaulttags.WidthRatioNode object at 0x7ff653f2c510>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.relevance_score>, <TextNode: '</td>\n '>, <IfNode>, <TextNode: '\n '>, <IfNode>, <TextNode: '\n <li clas'>, <Variable Node: content_detail.data_source.name>, <TextNode: '</td>\n '>, <Variable Node: content_detail.data_source.type>, <TextNode: '</td>\n '>, <Variable Node: content_detail.data_source.url>, <TextNode: '" target="_blank">'>, <Variable Node: content_detail.data_source.url>, <TextNode: '</a></td>\n '>, <Variable Node: content_detail.data_source.description>, <TextNode: '</td>\n '>, <Variable Node: content_detail.data_source.weight>, <TextNode: '</td>\n '>]>} {'ticker': 'LTRN'}
components/footer.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/components/footer.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7ff653979da0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/LTRN/content/3247799'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7ff651a0a8e0>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7ff651a0a8e0>>'} {'content_detail': {'content': <Content: Lantern Pharma's Investigational Drug-Candidate, LP-184, Receives Fast-Track Designation in Glioblastoma from the FDA - Unknown>, 'content_content': <ContentContent: Content ID: 1647194>, 'data_source': <DataSource: Quantexa News>, 'publisher': <ContentPublisher: Le Lézard (English)>}, 'ticker': 'LTRN'} {'block': <Block Node: footer. Contents: [<TextNode: '\n '>, <IncludeNode: template=<FilterExpression '"components/footer.html"'>>, <TextNode: '\n '>]>}

Context processors

django.template.context_processors.csrf: Toggle context
{'csrf_token': <SimpleLazyObject: <function csrf.<locals>._get_val at 0x7ff653979da0>>}
django.template.context_processors.debug: Toggle context
{}
django.template.context_processors.request: Toggle context
{'request': <WSGIRequest: GET '/ticker/LTRN/content/3247799'>}
django.contrib.auth.context_processors.auth: Toggle context
{'user': <SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7ff651a0a8e0>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7ff651a0a8e0>>)}
django.contrib.messages.context_processors.messages: Toggle context
{'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/LTRN/content/3247799'>>, 'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30, 'ERROR': 40}}

Cache calls from 1 backend

Summary

Total calls	Total time	Cache hits	Cache misses
0	0 ms	0	0

Commands

add	get	set	get_or_set	touch	delete	clear	get_many	set_many	delete_many	has_key	incr	decr	incr_version	decr_version
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Signals

Signal	Receivers
class_prepared
connection_created	register_type_handlers
got_request_exception
m2m_changed
post_delete
post_init
post_migrate	create_permissions, create_contenttypes
post_save	create_initial_trade_position
pre_delete
pre_init
pre_migrate	inject_rename_contenttypes_operations
pre_save
request_finished	close_old_connections, close_caches, reset_urlconf
request_started	reset_queries, close_old_connections
setting_changed	reset_cache, clear_cache_handlers, update_installed_apps, update_connections_time_zone, clear_routers_cache, reset_template_engines, storages_changed, clear_serializers_cache, language_changed, localize_settings_changed, file_storage_changed, complex_setting_changed, root_urlconf_changed, static_storage_changed, static_finders_changed, auth_password_validators_changed, user_model_swapped, update_toolbar_config, reset_hashers, update_level_tags, uninstall_if_needed, clear_caches, StaticFilesStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties

Path	Location
.DS_Store	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/.DS_Store
grappelli/.DS_Store	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/.DS_Store
grappelli/js/grappelli.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/grappelli.js
grappelli/js/jquery.grp_related_m2m.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_related_m2m.js
grappelli/js/jquery.grp_autocomplete_fk.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_autocomplete_fk.js
grappelli/js/jquery.grp_autocomplete_generic.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_autocomplete_generic.js
grappelli/js/jquery.grp_timepicker.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_timepicker.js
grappelli/js/jquery.grp_collapsible_group.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_collapsible_group.js
grappelli/js/jquery.grp_related_generic.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_related_generic.js
grappelli/js/jquery.grp_related_fk.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_related_fk.js
grappelli/js/jquery.grp_collapsible.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_collapsible.js
grappelli/js/grappelli.min.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/grappelli.min.js
grappelli/js/jquery.grp_autocomplete_m2m.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_autocomplete_m2m.js
grappelli/js/jquery.grp_inline.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_inline.js
grappelli/images/spritesheet-1694777276.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/spritesheet-1694777276.png
grappelli/images/backgrounds/loading-small.gif	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/loading-small.gif
grappelli/images/backgrounds/changelist-results.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/changelist-results.png
grappelli/images/backgrounds/ui-sortable-placeholder.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/ui-sortable-placeholder.png
grappelli/images/backgrounds/nav-grabber.gif	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/nav-grabber.gif
grappelli/images/backgrounds/messagelist.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/messagelist.png
grappelli/images/icons/ui-datepicker-next.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/ui-datepicker-next.png
grappelli/images/icons/link-external-small_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/link-external-small_hover.png
grappelli/images/icons/tools-arrow-up-handler_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-arrow-up-handler_hover.png
grappelli/images/icons/date-hierarchy-back.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/date-hierarchy-back.png
grappelli/images/icons/tools-delete-handler-predelete.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-delete-handler-predelete.png
grappelli/images/icons/breadcrumbs-rtl.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/breadcrumbs-rtl.png
grappelli/images/icons/datepicker_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/datepicker_hover.png
grappelli/images/icons/tools-trash-handler_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-trash-handler_hover.png
grappelli/images/icons/selector-add-m2m-vertical_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/selector-add-m2m-vertical_hover.png
grappelli/images/icons/tools-related-remove-handler-small_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-related-remove-handler-small_hover.png
grappelli/images/icons/sorted-descending.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/sorted-descending.png
grappelli/images/icons/breadcrumbs_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/breadcrumbs_hover.png
grappelli/images/icons/tools-viewsite-link_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-viewsite-link_hover.png
grappelli/images/icons/object-tools-add-link.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/object-tools-add-link.png
grappelli/images/icons/tools-related-edit-handler-small-disabled.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-related-edit-handler-small-disabled.png
grappelli/images/icons/tools-related-remove-handler-small-disabled.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-related-remove-handler-small-disabled.png
grappelli/images/icons/sorted-ascending.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/sorted-ascending.png
grappelli/images/icons/link-internal-rtl-small_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/link-internal-rtl-small_hover.png
grappelli/images/icons/pulldown-handler_selected.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/pulldown-handler_selected.png
grappelli/images/icons/tools-delete-handler_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-delete-handler_hover.png

Content Detail

Versions

Time

Resource usage

Browser timing

Settings from app.settings

Headers

Request headers

Response headers

WSGI environ

Request

View information

No cookies

No session data

No GET data

No POST data

SQL queries from 1 connection

Static files (717 found, 2 used)

Static file paths

Static file apps

Static files

django.contrib.staticfiles.finders.AppDirectoriesFinder (717 files)

Templates (6 rendered)

Template path

Templates

Context processors

Cache calls from 1 backend

Summary

Commands

Signals