Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 14 September 2026 and assigned it the closest of 31 fixed categories, at 60% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
14 measurements spanning 50 days, net +34. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 3,577–3,636 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
25 Sept 2026, 06:20
3,629
+3
17 Sept 2026, 03:21
3,626
-1
12 Sept 2026, 22:38
3,627
+4
8 Sept 2026, 15:40
3,623
-2
3 Sept 2026, 00:43
3,625
+8
30 Aug 2026, 16:16
3,617
-9
27 Aug 2026, 12:29
3,626
+23
24 Aug 2026, 19:06
3,603
+19
15 Aug 2026, 02:29
3,584
-4
12 Aug 2026, 05:33
3,588
-2
9 Aug 2026, 10:11
3,590
-4
6 Aug 2026, 13:34
3,594
-1
6 Aug 2026, 04:34
3,595
no change
6 Aug 2026, 02:48
3,595
first reading
Engagement
22 posts held, back to 20 February 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 22 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
205 reactions across 19 posts, in 5 distinct kinds. The most used accounts for 45.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
94
45.9%
👍
57
27.8%
🔥
22
10.7%
👌
18
8.78%
❤🔥
14
6.83%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 20 of the 22 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 208 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 20 February 2026 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
🎯Bispecific Antibodies in cancer treatments
🔎مقدمه و اهمیت :
این آنتیبادیها توانایی اتصال همزمان به دو آنتیژن متفاوت را دارند؛ یکی بر روی سلول تومور و دیگری بر روی سلولهای ایمنی.
⚙️مکانیسم عمل:
هدایت سلولهای T به سمت تومور ( معمولا با هدف گیری CD3)، درگیری سلولهای ایمنی مثل NK و ماکروفاژها، غلبه بر فرار ایمنی مثل هدفگیری همزمان PD-L1 و VEGF
🩸وضعیت فعلی درمانها:
در سرطانهای خونی مانند ALL و لنفوم ها و…
📌 بهروزرسانی راهنمای زنده ASCO برای درمان مولتیپل میلوما (ژوئن ۲۰۲۶)
🎯 هدف مطالعه:
ارائه جدیدترین توصیههای مبتنی بر شواهد برای درمان بیماران مبتلا به مولتیپل میلوما و بررسی جایگاه درمانهای نوین در بیماران عودکننده/مقاوم.
🔰 بررسی اجمالی:
🔹 نتایج مطالعه MajesTEC-3 منجر به بهروزرسانی راهنمای زنده ASCO شد.
🔹 ایمونوتراپیها، شامل CAR-T و Bispecific antibodies، در اولین عود بیماری جایگاه پررنگتری پیدا کردهاند.
🔹…
📚کتاب جدید و ارزشمند:
ASCO-SEP
American Society of Clinical Oncology
2026
#ASCO
🎗️با کانال انجمن علمی دانشجویی رادیوانکولوژی شبکه نخبگان ایران همراه باشید
| @oncology_association |
🔍 سرطان آپاندیس: آگاهی، تشخیص زودهنگام و چشم انداز
سرطان آپاندیس (Appendiceal Cancer) یکی از نادرترین بدخیمیهای دستگاه گوارش است که کمتر از یک درصد از تومورهای گوارشی را تشکیل میدهد. براساس مطالعات اپیدمیولوژیک، میزان بروز این سرطان حدود ۱ تا ۲ مورد در هر ۱۰۰ هزار نفر در سال برآورد میشود. با وجود شیوع پایین، شواهد اخیر نشان میدهد که بروز این بیماری طی دو دهه گذشته، به ویژه در افراد زیر ۵۰ سال، روندی افزایشی داشت…
✴️ مرگزایی مصنوعی (Synthetic Lethality)
🔍 با یک مثال ساده شروع کنیم...
تصور کنید شهری دو پل خروجی دارد.
اگر یکی از پلها بسته شود، رفتوآمد همچنان از طریق پل دوم ادامه پیدا میکند و مشکلی ایجاد نمیشود. اما اگر پل دوم نیز بسته شود، دیگر هیچ راه خروجی وجود ندارد و شهر کاملاً محاصره میشود.
سلولها نیز برای ترمیم آسیبهای DNA از مسیرهای جایگزین استفاده میکنند. تا زمانی که حداقل یکی از این مسیرها فعال باشد، سلول می…
📄Long-Term Follow-Up of JCOG1008: Weekly vs 3-Weekly Cisplatin in Postoperative High-Risk Head & Neck Cancer
🔹 سؤال مطالعه
آیا رژیم سیسپلاتین هفتگی (40 mg/m²) همزمان با رادیوتراپی، از نظر اثربخشی در بیماران High-risk postoperative LA-SCCHN با رژیم استاندارد 100 mg/m² هر 3 هفته قابل مقایسه است؟
✅طراحی مطالعه:
فاز II/III، رندومایز، Non-inferiority
261 بیمار
پیگیری میانه: 5.6 سال
❇️نتایج کلیدی:
⚜معیار Overall Survi…
📚#کتاب جدید و ارزشمند:
Cancer Research Guidance for Clinicians and Researchers
🖊نویسندگان:
Jefrey Huang,Heather S.L. Jim
📆سال انتشار:
2026
📇انتشارات: springer
📎اگر در حوزه انکولوژی فعالیت میکنید، این کتاب یکی از کاملترین منابع جدید برای یادگیری پژوهش در سرطان است.
🔹 آنچه در این کتاب خواهید یافت:
• طراحی انواع مطالعات (RCT، Cohort، Case Report، Meta-analysis و...)
• اصول آمار، اپیدمیولوژی و تحلیل دادهها
• کار…
#معرفی_سایت
🔬 پلتفرم OncoMarks یک بانک اطلاعاتی جامع برای کارآزماییهای بالینی انکولوژی است که مهمترین مطالعات بالینی مرتبط با حوزه سرطان را در یک مجموعهی منظم گرد هم آورده است.
🗂 کارآزماییها بر اساس محل تومور و زیرشاخههای تخصصی دستهبندی شدهاند تا یافتن مطالعات مرتبط ساده و سریع باشد.
⭐️ ویژگی متمایز این پلتفرم، خلاصههای موضوعمحور برای هر کارآزمایی است که در کنار جزئیات کاملی همچون طراحی و نوع مطالعه، جمعی…
🦴 ماه آگاهی از سارکوم؛ شناخت یک سرطان نادر اما مهم
سارکوم (Sarcoma) گروهی از سرطانهای نادر است که از بافتهای همبند بدن مانند استخوان، عضله، چربی، غضروف، تاندون، رباط، عروق خونی و اعصاب منشأ میگیرد. تاکنون بیش از ۷۰ زیرگروه مختلف از سارکوم شناسایی شده است که هر یک ویژگیهای بیولوژیکی و روشهای درمانی متفاوتی دارند.
اگرچه سارکوم تنها حدود ۱ درصد از کل سرطانهای بزرگسالان را تشکیل میدهد، اما در کودکان، نوجوانان و …
📚#کتاب
HANDBOOK OF BRAIN TUMOR CHEMOTHERAPY,
MOLECULAR THERAPEUTICS, AND IMMUNOTHERAPY
🖊نویسندگان:
HERBERT B. NEWTON
📆سال انتشار:
2026
🎗️با کانال انجمن علمی دانشجویی رادیوانکولوژی شبکه نخبگان ایران همراه باشید
| @oncology_association |
درست✅ X-ray Treatment (6 MV) درست است، زیرا در این روش Electron Beam به یک Metal Target برخورد میکند و Bremsstrahlung Radiation تولید میشود.
غلط ❌ Electron Treatment (6 MeV): از Metal Target استفاده نمیکند؛ الکترونها پس از عبور از Scattering Foil مستقیماً برای درمان به کار میروند.
غلط ❌ Proton Treatment: با LINAC Treatment Head و Metal Target تولید نمیشود و از شتابدهندههای پروتون استفاده میکند.
غلط ❌ Neutron…
Showing the 12 most recent of 22 posts we hold for @oncology_association. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
کدام گزینه درباره انواع Hypoxia در تومورها صحیح است؟
Chronic Hypoxia عمدتاً ناشی از ناپایداری جریان خون در عروق تومور است.16%
Acute Hypoxia در اثر فاصله زیاد سلولها از عروق خونی ایجاد میشود.14%
Chronic(Diffusion-limited) Hypoxia زمانیست که مصرف اکسیژن تومور از ظرفیت اکسیژنرسانی عروق فراتر رود61%
Acute Hypoxia معمولاً در عروق طبیعی و سازمانیافته مشاهده میشود.9%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 22 most recent posts we hold, published 20 February 2026 to 7 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 9 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
بانک PDF پزشکی📚 @PDFbankdaro · 32,120 Telegram ranks this channel #82 of 94 here — alongside 93 others — read 5 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“انجمن علمی دانشجویی رادیوانکولوژی” (@oncology_association), 3,629 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/oncology_association.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.